10,812 results on '"Wu, Han"'
Search Results
2. Topological Surface State Evolution in Bi$_2$Se$_3$ via Surface Etching
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Yue, Ziqin, Huang, Jianwei, Wang, Ruohan, Li, Jia-Wan, Rong, Hongtao, Guo, Yucheng, Wu, Han, Zhang, Yichen, Kono, Junichiro, Zhou, Xingjiang, Hou, Yusheng, Wu, Ruqian, and Yi, Ming
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Condensed Matter - Materials Science ,Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
Topological insulators are materials with an insulating bulk interior while maintaining gapless boundary states against back scattering. Bi$_2$Se$_3$ is a prototypical topological insulator with a Dirac-cone surface state around $\Gamma$. Here, we present a controlled methodology to gradually remove Se atoms from the surface Se-Bi-Se-Bi-Se quintuple layers, eventually forming bilayer-Bi on top of the quintuple bulk. Our method allows us to track the topological surface state and confirm its robustness throughout the surface modification. Importantly, we report a relocation of the topological Dirac cone in both real space and momentum space, as the top surface layer transitions from quintuple Se-Bi-Se-Bi-Se to bilayer-Bi. Additionally, charge transfer among different surface layers is identified. Our study provides a precise method to manipulate surface configurations, allowing for the fine-tuning of the topological surface states in Bi$_2$Se$_3$, which represents a significant advancement towards nano-engineering of topological states., Comment: 21 pages, 5 figures, accepted for publication in Nano Letters
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- 2024
3. CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration
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Gao, Jiahui, Pi, Renjie, Han, Tianyang, Wu, Han, Hong, Lanqing, Kong, Lingpeng, Jiang, Xin, and Li, Zhenguo
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Computer Science - Computation and Language - Abstract
The deployment of multimodal large language models (MLLMs) has demonstrated remarkable success in engaging in conversations involving visual inputs, thanks to the superior power of large language models (LLMs). Those MLLMs are typically built based on the LLMs, with an image encoder to process images into the token embedding space of the LLMs. However, the integration of visual modality has introduced a unique vulnerability: the MLLM becomes susceptible to malicious visual inputs and prone to generating sensitive or harmful responses, even though the LLM has been trained on textual dataset to align with human value. In this paper, we first raise the question: ``Do the MLLMs possess safety-awareness against malicious image inputs?". We find that after adding a principle that specifies the safety requirement into the input of the MLLM, the model's safety awareness becomes boosted. This phenomenon verifies the existence of MLLM's safety-awareness against image inputs, it is only weakened by the modality gap. We then introduce a simple yet effective technique termed CoCA, which amplifies the safety-awareness of the MLLM by calibrating its output distribution. Our proposed strategy helps the model reclaim its original safety awareness without losing its original capabilities. We verify the effectiveness of our approach on both multimodal safety and understanding benchmarks., Comment: 10 pages, COLM-2024
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- 2024
4. Multi-watt long-wavelength infrared femtosecond lasers and resonant enamel ablation
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Yang, Xuemei, Zhang, Dunxiang, Wang, Weizhe, Tian, Kan, He, Linzhen, Guo, Jinmiao, Hu, Bo, Pu, Tao, Li, Wenlong, Sun, Shiran, Ding, Chunmei, Wu, Han, Li, Kenkai, Peng, Yujie, Li, Jianshu, Leng, Yuxin, and Liang, Houkun
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Physics - Optics ,Physics - Medical Physics - Abstract
High-power broadband tunable long-wavelength infrared (LWIR) femtosecond lasers operating at fingerprint wavelengths of 7-14 {\mu}m hold significant promise across a range of applications, including molecular hyperspectral imaging, strong-field light-matter interaction, and resonant tissue ablation. Here we present 6-12 {\mu}m broadband tunable parametric amplifier based on LiGaS2 or BaGa4S7, generating new record output power of 2.4 W at 7.5 {\mu}m, and 1.5 W at 9.5 {\mu}m, pumped by a simple and effective thin-square-rod Yb:YAG amplifier producing 110 W 274 fs output pulses. As a proof of concept, we showcase efficient resonant ablation and microstructure fabrication on enamel at the hydroxyapatite resonant wavelength of 9.5 {\mu}m, with a laser intensity two orders-of-magnitude lower than that required by non-resonant femtosecond lasers, which could foster more precision surgical applications with superior biosafety.
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- 2024
5. Correlation Effects in a Simplified Bilayer Two-Orbital Hubbard Model at Half Filling
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Yang, Jian-Jian, Yao, Dao-Xin, and Wu, Han-Qing
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Condensed Matter - Strongly Correlated Electrons - Abstract
Motivated by the discovery of high-temperature superconductivity in bilayer nickelate La$_3$Ni$_2$O$_7$ under pressure, we investigate the ground-state phase diagram and correlation effects using determinant quantum Monte Carlo simulations in a simplified bilayer two-orbital Hubbard model at half filling. Our results reveal the emergence of a nonmagnetic weakly insulating phase at weak on-site Hubbard interactions, transitioning to an antiferromagnetic Mott insulating phase as the interaction strength exceeds a critical value $U/t_1^x\approx 4.15$. This phase transition is consistent with the 3D O(3) Heisenberg universality class. Additionally, we analyze dynamical properties such as the single-particle spectral function and dynamic spin structure factor. The pronounced inter-layer correlation of $d_{3z^2-r^2}$ orbitals results in a downward trend and an extended flatness in the $\gamma$ band, mirroring the angle-resolved photoemission spectroscopy findings under ambient pressure. Our numerical results provide important clues for understanding the strong correlation effects in La$_3$Ni$_2$O$_7$., Comment: 9 pages, 11 figures
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- 2024
6. Vestigial Gapless Boson Density Wave Emerging between $\nu = 1/2$ Fractional Chern Insulator and Finite-Momentum Supersolid
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Lu, Hongyu, Wu, Han-Qing, Chen, Bin-Bin, and Meng, Zi Yang
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Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Strongly Correlated Electrons ,Quantum Physics - Abstract
The roton-triggered charge-density-wave (CDW)is widely studied in fractional quantum Hall (FQH) and fractional Chern insulator (FCI) systems, and there also exist field theoretical and numerical realizations of continuous transition from FCI to superfluid (SF). However, the theory and numerical explorations of the transition between FCI and supersolid (SS) are still lacking. In this work, we study the topological flat-band lattice models with $\nu$ = 1/2 hard-core bosons, where the previous studies have discovered the existence of FCI states and possible direct FCI-SS transitions. While the FCI is robust, we find the direct FCI-SS transition is absent, and there exist more intriguing scenarios. In the case of checkerboard lattice, we find an intermediate gapless CDW state without SF, sandwiched between FCI and SS. This novel state is triggered by the roton instability in FCI and it further continuously brings about the intertwined finite-momentum SF fluctuation when the CDW order is strong enough, eventually transiting into an unconventional finite-momentum SS state. The intermediate gapless CDW state is a vestige from the SS state, since the increasing quantum fluctuation melts only the Larkin-Ovchinnikov-type SF order in SS but its (secondary) product -- the CDW order -- survives. On honeycomb lattice, we find no evidence of SS, but discover an interesting sequence of FCI-Solid I-Solid II transitions, with both solids incompressible. Moreover, in contrast to previous single-roton condensation, this sequence of FCI-Solid I-Solid II transitions is triggered by the softening of multi-roton modes in FCI. Considering the intertwined wave vectors of the CDW orders, Solid I is a vestige of Solid II. Our work provides new horizon not only for the quantum phase transitions in FCI but also for the intertwined orders and gapless states in bosonic systems, which will inspire future studies.
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- 2024
7. Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
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Wang, Shaowei, Dong, Changyu, Song, Xiangfu, Li, Jin, Zhou, Zhili, Wang, Di, and Wu, Han
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Computer Science - Cryptography and Security ,Computer Science - Machine Learning - Abstract
In data-driven applications, preserving user privacy while enabling valuable computations remains a critical challenge. Technologies like Differential Privacy (DP) have been pivotal in addressing these concerns. The shuffle model of DP requires no trusted curators and can achieve high utility by leveraging the privacy amplification effect yielded from shuffling. These benefits have led to significant interest in the shuffle model. However, the computation tasks in the shuffle model are limited to statistical estimation, making the shuffle model inapplicable to real-world scenarios in which each user requires a personalized output. This paper introduces a novel paradigm termed Private Individual Computation (PIC), expanding the shuffle model to support a broader range of permutation-equivariant computations. PIC enables personalized outputs while preserving privacy, and enjoys privacy amplification through shuffling. We propose a concrete protocol that realizes PIC. By using one-time public keys, our protocol enables users to receive their outputs without compromising anonymity, which is essential for privacy amplification. Additionally, we present an optimal randomizer, the Minkowski Response, designed for the PIC model to enhance utility. We formally prove the security and privacy properties of the PIC protocol. Theoretical analysis and empirical evaluations demonstrate PIC's capability in handling non-statistical computation tasks, and the efficacy of PIC and the Minkowski randomizer in achieving superior utility compared to existing solutions.
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- 2024
8. MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language
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Wang, Shun, Zhang, Ge, Wu, Han, Loakman, Tyler, Huang, Wenhao, and Lin, Chenghua
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Computer Science - Computation and Language - Abstract
Machine Translation (MT) has developed rapidly since the release of Large Language Models and current MT evaluation is performed through comparison with reference human translations or by predicting quality scores from human-labeled data. However, these mainstream evaluation methods mainly focus on fluency and factual reliability, whilst paying little attention to figurative quality. In this paper, we investigate the figurative quality of MT and propose a set of human evaluation metrics focused on the translation of figurative language. We additionally present a multilingual parallel metaphor corpus generated by post-editing. Our evaluation protocol is designed to estimate four aspects of MT: Metaphorical Equivalence, Emotion, Authenticity, and Quality. In doing so, we observe that translations of figurative expressions display different traits from literal ones.
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- 2024
9. Cephalometric Landmark Detection across Ages with Prototypical Network
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Wu, Han, Wang, Chong, Mei, Lanzhuju, Yang, Tong, Zhu, Min, Shen, Dingggang, and Cui, Zhiming
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Automated cephalometric landmark detection is crucial in real-world orthodontic diagnosis. Current studies mainly focus on only adult subjects, neglecting the clinically crucial scenario presented by adolescents whose landmarks often exhibit significantly different appearances compared to adults. Hence, an open question arises about how to develop a unified and effective detection algorithm across various age groups, including adolescents and adults. In this paper, we propose CeLDA, the first work for Cephalometric Landmark Detection across Ages. Our method leverages a prototypical network for landmark detection by comparing image features with landmark prototypes. To tackle the appearance discrepancy of landmarks between age groups, we design new strategies for CeLDA to improve prototype alignment and obtain a holistic estimation of landmark prototypes from a large set of training images. Moreover, a novel prototype relation mining paradigm is introduced to exploit the anatomical relations between the landmark prototypes. Extensive experiments validate the superiority of CeLDA in detecting cephalometric landmarks on both adult and adolescent subjects. To our knowledge, this is the first effort toward developing a unified solution and dataset for cephalometric landmark detection across age groups. Our code and dataset will be made public on https://github.com/ShanghaiTech-IMPACT/Cephalometric-Landmark-Detection-across-Ages-with-Prototypical-Network, Comment: MICCAI 2024
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- 2024
10. Ubiquitous Flat Bands in a Cr-based Kagome Superconductor
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Guo, Yucheng, Wang, Zehao, Xie, Fang, Huang, Yuefei, Gao, Bin, Oh, Ji Seop, Wu, Han, Liu, Zhaoyu, Ren, Zheng, Fang, Yuan, Biswas, Ananya, Zhang, Yichen, Yue, Ziqin, Hu, Cheng, Jozwiak, Chris, Bostwick, Aaron, Rotenberg, Eli, Hashimoto, Makoto, Lu, Donghui, Kono, Junichiro, Chu, Jiun-Haw, Yakobson, Boris I, Birgeneau, Robert J, Si, Qimiao, Dai, Pengcheng, and Yi, Ming
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Condensed Matter - Strongly Correlated Electrons - Abstract
In the quest for novel quantum states driven by topology and correlation, kagome lattice materials have garnered significant interest due to their distinctive electronic band structures, featuring flat bands (FBs) arising from the quantum destructive interference of the electronic wave function. The tuning of the FBs to the chemical potential would lead to the possibility of liberating electronic instabilities that lead to emergent electronic orders. Despite extensive studies, direct evidence of FBs tuned to the chemical potential and their participation in emergent electronic orders have been lacking in bulk quantum materials. Here using a combination of Angle-Resolved Photoemission Spectroscopy (ARPES) and Density Functional Theory (DFT), we reveal that the low-energy electronic structure of the recently discovered Cr-based kagome metal superconductor CsCr3Sb5 is dominated by a pervasive FB in close proximity to, and below the Fermi level. A comparative analysis with orbital-projected DFT and polarization dependence measurement uncovers that an orbital-selective renormalization mechanism is needed to reconcile the discrepancy with the DFT calculations, which predict the FB to appear 200 meV above the Fermi level. Furthermore, we observe the FB to shift away from the Fermi level by 20 meV in the low-temperature density wave-ordered phase, highlighting the role of the FB in the emergent electronic order. Our results reveal CsCr3Sb5 to stand out as a promising platform for further exploration into the effects of FBs near the Fermi level on kagome lattices, and their role in emergent orders in bulk quantum materials.
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- 2024
11. GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
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Jia, Ding, Guo, Jianyuan, Han, Kai, Wu, Han, Zhang, Chao, Xu, Chang, and Chen, Xinghao
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Cross-modal transformers have demonstrated superiority in various vision tasks by effectively integrating different modalities. This paper first critiques prior token exchange methods which replace less informative tokens with inter-modal features, and demonstrate exchange based methods underperform cross-attention mechanisms, while the computational demand of the latter inevitably restricts its use with longer sequences. To surmount the computational challenges, we propose GeminiFusion, a pixel-wise fusion approach that capitalizes on aligned cross-modal representations. GeminiFusion elegantly combines intra-modal and inter-modal attentions, dynamically integrating complementary information across modalities. We employ a layer-adaptive noise to adaptively control their interplay on a per-layer basis, thereby achieving a harmonized fusion process. Notably, GeminiFusion maintains linear complexity with respect to the number of input tokens, ensuring this multimodal framework operates with efficiency comparable to unimodal networks. Comprehensive evaluations across multimodal image-to-image translation, 3D object detection and arbitrary-modal semantic segmentation tasks, including RGB, depth, LiDAR, event data, etc. demonstrate the superior performance of our GeminiFusion against leading-edge techniques. The PyTorch code is available at https://github.com/JiaDingCN/GeminiFusion, Comment: Accepted by ICML 2024, code and models are available at https://github.com/JiaDingCN/GeminiFusion
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- 2024
12. Searching for heavy millicharged particles from the atmosphere
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Wu, Han, Hardy, Edward, and Song, Ningqiang
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High Energy Physics - Phenomenology ,Astrophysics - Cosmology and Nongalactic Astrophysics ,High Energy Physics - Experiment - Abstract
If millicharged particles (MCPs) exist they can be created in the atmosphere when high energy cosmic rays collide with nuclei and could subsequently be detected at neutrino experiments. We extend previous work, which considered MCPs from decays of light mesons and proton bremsstrahlung, by including production from $\Upsilon$ meson decays and the Drell-Yan process. MCPs with masses below a GeV primarily arise from proton bremsstrahlung, while heavier MCPs predominantly originate from heavy meson decays and Drell-Yan. We analyse the resulting single scatter and multiple scatter signals at SuperK and JUNO. Searches for low energy coincident signals at JUNO will be sensitive to MCPs with milli-charges up to an order of magnitude beyond current constraints for MCP masses between 2 GeV and 10 GeV., Comment: 13 pages, 8 figures
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- 2024
13. Continuous Transition between Bosonic Fractional Chern Insulator and Superfluid
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Lu, Hongyu, Wu, Han-Qing, Chen, Bin-Bin, and Meng, Zi Yang
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Condensed Matter - Strongly Correlated Electrons ,Condensed Matter - Quantum Gases ,Quantum Physics - Abstract
The properties of fractional Chern insulator (FCI) phase and the phase transitions between FCI and Mott insulators (MI) in bosonic systems are well studied. The continuous transitions between FCI and superfluid (SF), however, despite the inspiring field theoretical predictions, have not been directly verified. The existing numerical results of FCI-SF transition are either indirect or clearly first-order. Here, by simply tuning the bandwidth of Haldane honeycomb lattice model, we find direct transitions from a bosonic FCI at $\nu$ = 1/2 filling of a flat Chern band to two SF states with bosons condensed at momenta $M$ and $\Gamma$, respectively. While the FCI-SF($M$) transition is first-order, the FCI-SF($\Gamma$) transition is found continuous. Through finite size criticality analysis, the obtained critical exponents $\beta\approx$0.35(5) and $\nu\approx$0.62(12) are both compatible with those of the 3D XY universality class and more exotic beyond-Landau ones. Our work thence presents a direct numerical evidence of a continuous FCI-SF transition between topological ordered phase and spontaneous continuous symmetry-breaking phase, and further indicates the zero-field bosonic FCI might be realized from a SF state by gradually flattening the dispersion of Chern band, through the (quasi)adiabatic preparation in ultracold atom systems.
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- 2024
14. From a fractional quantum anomalous Hall state to a smectic state with equal Hall conductance
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Lu, Hongyu, Wu, Han-Qing, Chen, Bin-Bin, and Meng, Zi Yang
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Condensed Matter - Strongly Correlated Electrons ,Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
The recent developments in twisted MoTe$_2$ and rhombohedral multilayer graphene have generated widespread attention to the general features of fractional quantum anomalous Hall (FQAH) states, including their possible coexistence with and transition to various symmetry breaking charge ordered states. These attentions are pushing forward our knowledge of the relation between the topological order in FQAH states and the Landau-type of symmetry breaking order such as the 1D smectic electronic liquid crystal and 2D charge-density-wave (CDW) solid. Although the transitions from topological states to symmetry breaking states with trivial topology have been discussed, the road from one topological ordered state to another with the same Hall conductance and broken translational symmetry has not been found. Here we show the intriguing evidence that the FQAH to FQAH Smectic (FQAHS) transition is robustly realizable in the archetypal correlated flat Chern-band model at filling $\nu$ = 2/3. This transition is novel in that: i) the FQAHS acquires the same fractional Hall conductance as FQAH, which cannot be explained by mean-field band folding. The formation of smectic order can be viewed as perturbation around the transition point, and thus, do not destroy or change the original topology; ii) the charge excitation remains gapped across the transition although the neutral gap is closed at transition point; and iii) the transition is triggered by the softening of roton mode with the same wave vector as the smectic order. Our discovery opens countless new possibilities, both theoretical and experimental, in the fast-growing field of robust fractional Chern insulators.
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- 2024
15. Learning From Correctness Without Prompting Makes LLM Efficient Reasoner
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Yao, Yuxuan, Wu, Han, Guo, Zhijiang, Zhou, Biyan, Gao, Jiahui, Luo, Sichun, Hou, Hanxu, Fu, Xiaojin, and Song, Linqi
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Computer Science - Computation and Language - Abstract
Large language models (LLMs) have demonstrated outstanding performance across various tasks, yet they still exhibit limitations such as hallucination, unfaithful reasoning, and toxic content. One potential approach to mitigate these issues is learning from human or external feedback (e.g. tools). In this paper, we introduce an intrinsic self-correct reasoning framework for LLMs that eliminates the need for human feedback, external tools, and handcraft prompts. The proposed framework, based on a multi-step reasoning paradigm \textbf{Le}arning from \textbf{Co}rrectness (\textsc{LeCo}), improves reasoning performance without needing to learn from errors. This paradigm prioritizes learning from correct reasoning steps, and a unique method to measure confidence for each reasoning step based on generation logits. Experimental results across various multi-step reasoning tasks demonstrate the effectiveness of the framework in improving reasoning performance with reduced token consumption., Comment: Accepted to COLM 2024
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- 2024
16. Ultralarge polarization in ferroelectric hafnia-based thin films
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Wu, Han, Lin, Kun, Zhang, Qinghua, Yu, Qian, Fu, Xiaoqian, Li, Qiang, Cheviri, Meera, Dieguez, Oswaldo, Xu, Shuai, Gu, Lin, Cao, Yili, Wang, Jiaou, Wang, Zhen, Chen, Yu, Wang, Huanhua, Deng, Jinxia, Miao, Jun, and Xing, Xianran
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Condensed Matter - Materials Science - Abstract
Hafnia-based ferroelectrics have become a valuable class of electronic functional materials at the nanoscale, showing great potential for next-generation memory and logic devices. However, more robust ferroelectric properties and better understanding of the polarization mechanisms are currently needed both in technology and science. Herein, we report the properties of oxygen-deficient Hf0.5Zr0.5O2 films with ultralarge remanent polarization (Pr) of 387 uC cm-2 at room temperature (1 kHz). Structure characterizations identify a new ferroelectric monoclinic Pc phase in these Hf0.5Zr0.5O2 films. The in-situ STEM measurements evidence polar displacements of the oxygen atoms, which move up and down in the Pc structure under applied DC bias fields, showing a huge displacement (1.6 A). DFT calculations optimized the Pc structure and also predicted a large polarization. The coexistence of the ferroelectric monoclinic (Pc) phases and orthorhombic (Pca21) is responsible for this superior ferroelectric properties. These findings are promising for hafnia-based ferroelectric applications in integrated ferroelectric devices, energy harvesting and actuators, etc.
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- 2024
17. Theoretical demonstration of mode transmission in ZGP-based micrometer waveguide platforms
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Lu, Siyi, Hu, Bo, Yang, Xuemei, Li, Yang, Wu, Han, and Liang, Houkun
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Physics - Optics - Abstract
Birefringence phase-matching based \c{hi}(2) ZnGeP2 (ZGP) waveguide platform has been recently reported for excellent mid-infrared laser generation. Here, a detailed theoretical characterization of mode transmission taking waveguide anisotropy and substrate material absorption into account in a micrometer ZGP waveguide platform (ZGP-on-SiO2) is conducted. Benefited from high-index contrast between ZGP and substrate (SiO2/Air), Transverse electric and magnetic (TM and TE) mode transmission loss at interested wavelengths range of 2 - 12 {\mu}m is calculated to be less than 4 dB/cm and 1.5 dB/cm, respectively, in the designed ZGP waveguide. Notably, non-obvious oscillation of mode transmission loss versus phase-matching angles is observed, which is different from that in the previously reported weakly guided anisotropic waveguide. A vital phenomenon named mode crossing at some wavelengths in TM polarization is also exhibited in our waveguide platforms, which jeopardizes waveguide performances and could be avoided by changing the phase-matching angle in practice. This work provides a significant indication of ZGP waveguide design optimization in future and also exhibits extendibility to other birefringent crystal waveguide platforms.
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- 2024
18. SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection
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Lu, Yahao, Lin, Yupei, Wu, Han, Xian, Xiaoyu, Shi, Yukai, and Lin, Liang
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Single-frame infrared small target (SIRST) detection aims to recognize small targets from clutter backgrounds. Recently, convolutional neural networks have achieved significant advantages in general object detection. With the development of Transformer, the scale of SIRST models is constantly increasing. Due to the limited training samples, performance has not been improved accordingly. The quality, quantity, and diversity of the infrared dataset are critical to the detection of small targets. To highlight this issue, we propose a negative sample augmentation method in this paper. Specifically, a negative augmentation approach is proposed to generate massive negatives for self-supervised learning. Firstly, we perform a sequential noise modeling technology to generate realistic infrared data. Secondly, we fuse the extracted noise with the original data to facilitate diversity and fidelity in the generated data. Lastly, we proposed a negative augmentation strategy to enrich diversity as well as maintain semantic invariance. The proposed algorithm produces a synthetic SIRST-5K dataset, which contains massive pseudo-data and corresponding labels. With a rich diversity of infrared small target data, our algorithm significantly improves the model performance and convergence speed. Compared with other state-of-the-art (SOTA) methods, our method achieves outstanding performance in terms of probability of detection (Pd), false-alarm rate (Fa), and intersection over union (IoU)., Comment: We address the quality, quantity, and diversity of the infrared data in SIRST, the dataset is available at: https://github.com/luy0222/SIRST-5K
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- 2024
19. Interaction-driven Roton Condensation in C = 2/3 Fractional Quantum Anomalous Hall State
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Lu, Hongyu, Wu, Han-Qing, Chen, Bin-Bin, Sun, Kai, and Meng, Zi Yang
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Condensed Matter - Strongly Correlated Electrons - Abstract
The interplay of topological order and charge order exhibits rich physics. Recent experiments that succesfully realized the frational quantum anomalous Hall (FQAH) effect in twisted MoTe$_2$ bilayers and rhombohedral multilayer graphene without external magnetic field further call for deeper understanding of the relation between topological order and charge order in quantum moir\'e materials. In the archetypal correlated flat-band model on checkerboard lattice, a FQAH smectic state with coexistent topological order and smectic charge order has been numerically discovered at filling $\nu$ = 2/3. In this work, we explore the global ground-state phase diagram of the model with competing interactions and find a C = 2/3 FQAH phase surrounded by four different charge density wave (CDW) phases. In particular, we identify a FQAH-CDW transition triggered by roton condensation, in that, the minimal roton gap continues to decrease at the same finite momentum, along with the diverging density flucuations at the transition point, after which the system enters into a CDW metal phase with the same ordered wavevector. Our discovery points out that the charge-neutral roton modes can play a significant role in a transition from FQAH topological order to CDW symmetry-breaking order, discussed in FQH literature while severely neglected in FQAH systems.
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- 2024
20. NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes
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Shi, Cidan, Fang, Lihuang, Wu, Han, Xian, Xiaoyu, Shi, Yukai, and Lin, Liang
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Computer Science - Computer Vision and Pattern Recognition - Abstract
In real-world environments, outdoor imaging systems are often affected by disturbances such as rain degradation. Especially, in nighttime driving scenes, insufficient and uneven lighting shrouds the scenes in darkness, resulting degradation of both the image quality and visibility. Particularly, in the field of autonomous driving, the visual perception ability of RGB sensors experiences a sharp decline in such harsh scenarios. Additionally, driving assistance systems suffer from reduced capabilities in capturing and discerning the surrounding environment, posing a threat to driving safety. Single-view information captured by single-modal sensors cannot comprehensively depict the entire scene. To address these challenges, we developed an image de-raining framework tailored for rainy nighttime driving scenes. It aims to remove rain artifacts, enrich scene representation, and restore useful information. Specifically, we introduce cooperative learning between visible and infrared images captured by different sensors. By cross-view fusion of these multi-source data, the scene within the images gains richer texture details and enhanced contrast. We constructed an information cleaning module called CleanNet as the first stage of our framework. Moreover, we designed an information fusion module called FusionNet as the second stage to fuse the clean visible images with infrared images. Using this stage-by-stage learning strategy, we obtain de-rained fusion images with higher quality and better visual perception. Extensive experiments demonstrate the effectiveness of our proposed Cross-View Cooperative Learning (CVCL) in adverse driving scenarios in low-light rainy environments. The proposed approach addresses the gap in the utilization of existing rain removal algorithms in specific low-light conditions.
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- 2024
21. Data-efficient Large Vision Models through Sequential Autoregression
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Guo, Jianyuan, Hao, Zhiwei, Wang, Chengcheng, Tang, Yehui, Wu, Han, Hu, Han, Han, Kai, and Xu, Chang
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Training general-purpose vision models on purely sequential visual data, eschewing linguistic inputs, has heralded a new frontier in visual understanding. These models are intended to not only comprehend but also seamlessly transit to out-of-domain tasks. However, current endeavors are hamstrung by an over-reliance on colossal models, exemplified by models with upwards of 3B parameters, and the necessity for an extensive corpus of visual data, often comprising a staggering 400B tokens. In this paper, we delve into the development of an efficient, autoregression-based vision model, innovatively architected to operate on a limited dataset. We meticulously demonstrate how this model achieves proficiency in a spectrum of visual tasks spanning both high-level and low-level semantic understanding during the testing phase. Our empirical evaluations underscore the model's agility in adapting to various tasks, heralding a significant reduction in the parameter footprint, and a marked decrease in training data requirements, thereby paving the way for more sustainable and accessible advancements in the field of generalist vision models. The code is available at https://github.com/ggjy/DeLVM., Comment: 15 pages
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- 2024
22. Quantum phase transitions and composite excitations of antiferromagnetic quantum spin trimer chains in a magnetic field
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Cheng, Jun-Qing, Ning, Zhi-Yao, Wu, Han-Qing, and Yao, Dao-Xin
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Condensed Matter - Strongly Correlated Electrons ,Physics - Computational Physics - Abstract
Motivated by recent advancements in theoretical and experimental studies on the high-energy excitations, we theoretically explore the quantum phase transition and composite dynamics of the antiferromagnetic trimer chains in a magnetic field using the exact diagonalization, density matrix renormalization group, time-dependent variational principle and cluster perturbation theory. We measure the entanglement entropy to uncover the phase diagram, encompassing the XY-I, $1/3$ magnetization plateau, XY-II and ferromagnetic phases. Both critical XY-I and XY-II phases are both described by the conformal field theory with the central charge $c \simeq 1$. By analyzing the dynamical structure factor, we elucidate the distinct features of spin dynamics across different phases. In the regime of weak intertrimer interaction, we identify the intermediate-energy and high-energy modes in the XY-I and $1/3$ magnetization plateau phases as the internal trimer excitations, corresponding to the propagation of doublon and quarton, respectively. Notably, the application of a magnetic field splits the high-energy spectra into two branches labeled as the upper quarton and lower quarton. Furthermore, we also explore the spin dynamics of a trimerized model closely related to the quantum magnet \ce{Na_2Cu_3Ge_4O_12}, and discuss the possibility of the quarton Bose-Einstein condensation. Our results can be verified in the inelastic neutron scattering experiments and provide deep insights for exploring the high-energy exotic excitations., Comment: 14+7 pages, 16 figures
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- 2024
23. Chiral spin liquid and quantum phase diagram of spin-$1/2$ $J_1$-$J_2$-$J_{\chi}$ model on the square lattice
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Zhang, Xiao-Tian, Huang, Yixuan, Wu, Han-Qing, Sheng, D. N., and Gong, Shou-Shu
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Condensed Matter - Strongly Correlated Electrons - Abstract
We study the spin-$1/2$ Heisenberg model on the square lattice with the first and second nearest-neighbor antiferromagnetic couplings $J_1$, $J_2$, as well as the three-spin scalar chiral coupling $J_{\chi}$. Using density matrix renormalization group calculations, we obtain a quantum phase diagram of this system for $0 \leq J_2/J_1 \leq 1.0$ and $0 \leq J_{\chi}/J_1 \leq 1.5$. We identify the N\'eel and stripe magnetic order phase at small $J_{\chi}$ coupling. With growing $J_{\chi}$, we identify the emergent chiral spin liquid (CSL) phase characterized by the quantized spin Chern number $C = 1/2$ and entanglement spectrum with the quasidegenerate group of levels agreeing with chiral SU(2)$_1$ conformal field theory, which is an analog of the $\nu = 1/2$ Laughlin state in spin system. In the vicinity of the N\'eel and CSL phase boundary, our numerical results do not find evidence to support the phase coexistence of N\'eel order and topological order that was conjectured by mean-field calculations. In the larger $J_2$ and $J_{\chi}$ coupling regime, the entanglement spectrum of the ground state also exhibits the chiral quasidegeneracy consistent with a CSL, but the adiabatic flux insertion simulations fail to obtain the quantized Chern number. By analyzing the finite-size scaling of magnetic order parameter, we find the vanished magnetic order suggesting a magnetic disorder phase, whose nature needs further studies. Different from the spin-$1$ $J_1$-$J_2$-$J_\chi$ model, we do not find the coexistent stripe magnetic order and topological order. We also investigate the $J_{\chi}$ dominant regime and find a strong tendency of the system to develop a dimer order rather than the chiral spin magnetic order observed in the spin-$1$ model., Comment: 16 pages, 17 figures
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- 2024
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24. Tuning extracellular fluid viscosity to enhance transfection efficiency
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Ma, Jingyao, Zhu, Yining, Kong, Jiayuan, Yu, Di, Toh, Wu Han, Jain, Milun, Ni, Qin, Ge, Zhuoxu, Lin, Jinghan, Choy, Joseph, Cheng, Leonardo, Konstantopoulos, Konstantinos, Konig, Maximilian F., Sun, Sean X., and Mao, Hai-Quan
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- 2024
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25. A pro-healing short-chain antimicrobial peptide that inhibits sepsis
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Ren, Zekai, Ding, Xin, Wang, Yumei, Wu, Han, Liu, Xin, Cao, Yang, Cong, Hailin, Shen, Youqing, and Yu, Bing
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- 2024
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26. DENND1A desensitizes granulosa cells to FSH by arresting intracellular FSHR transportation
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Dou, Yunde, Zhao, Rusong, Wu, Han, Yu, Zhiheng, Yin, Changjian, Yang, Jie, Yang, Chaoyan, Luan, Xiaohua, Cheng, Yixiao, Huang, Tao, Bian, Yuehong, Han, Shan, Zhang, Yuqing, Xu, Xin, Chen, Zi-Jiang, Zhao, Han, and Zhao, Shigang
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- 2024
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27. Experimental Study on CRTS III Ballastless Track Based on Quasi-distributed Fiber Bragg Grating Monitoring
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Zhang, Xuebing, Xie, Xiaonan, Wang, Li, Luo, Guangcai, Cui, Hongtian, Wu, Han, Liu, Xiaochun, Yang, Delei, Wang, Huaping, and Xiang, Ping
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- 2024
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28. Energy stress promotes P-bodies formation via lysine-63-linked polyubiquitination of HAX1
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Zhan, Wanqi, Li, Zhiyang, Zhang, Jie, Liu, Yongfeng, Liu, Guanglong, Li, Bingsong, Shen, Rong, Jiang, Yi, Shang, Wanjing, Gao, Shenjia, Wu, Han, Wang, Ya’nan, Chen, Wankun, and Wang, Zhizhang
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- 2024
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29. Returning home and becoming alumni faculty: dual academic networks and their impact on Chinese returnee faculty’s professional development satisfaction
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Wu, Han and Zhu, Jiani
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- 2024
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30. Reversible non-volatile electronic switching in a near-room-temperature van der Waals ferromagnet
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Wu, Han, Chen, Lei, Malinowski, Paul, Jang, Bo Gyu, Deng, Qinwen, Scott, Kirsty, Huang, Jianwei, Ruff, Jacob PC, He, Yu, Chen, Xiang, Hu, Chaowei, Yue, Ziqin, Oh, Ji Seop, Teng, Xiaokun, Guo, Yucheng, Klemm, Mason, Shi, Chuqiao, Shi, Yue, Setty, Chandan, Werner, Tyler, Hashimoto, Makoto, Lu, Donghui, Yilmaz, Turgut, Vescovo, Elio, Mo, Sung-Kwan, Fedorov, Alexei, Denlinger, Jonathan D, Xie, Yaofeng, Gao, Bin, Kono, Junichiro, Dai, Pengcheng, Han, Yimo, Xu, Xiaodong, Birgeneau, Robert J, Zhu, Jian-Xin, da Silva Neto, Eduardo H, Wu, Liang, Chu, Jiun-Haw, Si, Qimiao, and Yi, Ming
- Subjects
Physical Sciences ,Condensed Matter Physics - Abstract
Non-volatile phase-change memory devices utilize local heating to toggle between crystalline and amorphous states with distinct electrical properties. Expanding on this kind of switching to two topologically distinct phases requires controlled non-volatile switching between two crystalline phases with distinct symmetries. Here, we report the observation of reversible and non-volatile switching between two stable and closely related crystal structures, with remarkably distinct electronic structures, in the near-room-temperature van der Waals ferromagnet Fe5-δGeTe2. We show that the switching is enabled by the ordering and disordering of Fe site vacancies that results in distinct crystalline symmetries of the two phases, which can be controlled by a thermal annealing and quenching method. The two phases are distinguished by the presence of topological nodal lines due to the preserved global inversion symmetry in the site-disordered phase, flat bands resulting from quantum destructive interference on a bipartite lattice, and broken inversion symmetry in the site-ordered phase.
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- 2024
31. Dynamic enhancer landscapes in human craniofacial development
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Rajderkar, Sudha Sunil, Paraiso, Kitt, Amaral, Maria Luisa, Kosicki, Michael, Cook, Laura E, Darbellay, Fabrice, Spurrell, Cailyn H, Osterwalder, Marco, Zhu, Yiwen, Wu, Han, Afzal, Sarah Yasmeen, Blow, Matthew J, Kelman, Guy, Barozzi, Iros, Fukuda-Yuzawa, Yoko, Akiyama, Jennifer A, Afzal, Veena, Tran, Stella, Plajzer-Frick, Ingrid, Novak, Catherine S, Kato, Momoe, Hunter, Riana D, von Maydell, Kianna, Wang, Allen, Lin, Lin, Preissl, Sebastian, Lisgo, Steven, Ren, Bing, Dickel, Diane E, Pennacchio, Len A, and Visel, Axel
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Biotechnology ,Human Genome ,Dental/Oral and Craniofacial Disease ,Pediatric ,Congenital Structural Anomalies ,1.1 Normal biological development and functioning ,Generic health relevance ,Humans ,Animals ,Mice ,Regulatory Sequences ,Nucleic Acid ,Chromatin ,Gene Expression Profiling ,Genomics ,Protein Processing ,Post-Translational - Abstract
The genetic basis of human facial variation and craniofacial birth defects remains poorly understood. Distant-acting transcriptional enhancers control the fine-tuned spatiotemporal expression of genes during critical stages of craniofacial development. However, a lack of accurate maps of the genomic locations and cell type-resolved activities of craniofacial enhancers prevents their systematic exploration in human genetics studies. Here, we combine histone modification, chromatin accessibility, and gene expression profiling of human craniofacial development with single-cell analyses of the developing mouse face to define the regulatory landscape of facial development at tissue- and single cell-resolution. We provide temporal activity profiles for 14,000 human developmental craniofacial enhancers. We find that 56% of human craniofacial enhancers share chromatin accessibility in the mouse and we provide cell population- and embryonic stage-resolved predictions of their in vivo activity. Taken together, our data provide an expansive resource for genetic and developmental studies of human craniofacial development.
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- 2024
32. Two-step electronic response to magnetic ordering in a van der Waals ferromagnet
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Wu, Han, Zhu, Jian-Xin, Chen, Lebing, Butcher, Matthew W, Yue, Ziqin, Yuan, Dongsheng, He, Yu, Oh, Ji Seop, Gao, Bin, Huang, Jianwei, Wu, Shan, Gong, Cheng, Guo, Yucheng, Mo, Sung-Kwan, Denlinger, Jonathan, Lu, Donghui, Hashimoto, Makoto, Stone, Matthew B, Kolesnikov, Alexander I, Chi, Songxue, Kono, Junichiro, Nevidomskyy, Andriy H, Birgeneau, Robert J, Dai, Pengcheng, and Yi, Ming
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Physical Sciences ,Condensed Matter Physics ,Chemical sciences ,Engineering ,Physical sciences - Abstract
The two-dimensional material Cr2Ge2Te6 is a member of the class of insulating van der Waals (vdW) magnets. Here, using high resolution angle-resolved photoemission spectroscopy in a detailed temperature dependence study, we identify a clear response of the electronic structure to a dimensional crossover in the form of two distinct temperature scales marking onsets of modifications in the electronic structure. Specifically, we observe Te p-orbital-dominated bands to undergo changes at the Curie transition temperature TC while the Cr d-orbital-dominated bands begin evolving at a higher temperature scale. Combined with neutron scattering, density functional theory calculations, and Monte Carlo simulations, we find that the electronic system can be consistently understood to respond sequentially to the distinct temperatures at which in-plane and out-of-plane spin correlations exceed a characteristic length scale. Our findings reveal the sensitivity of the orbital-selective electronic structure for probing the dynamical evolution of local moment correlations in vdW insulating magnets.
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- 2024
33. Magnon, doublon and quarton excitations in 2D S=1/2 trimerized Heisenberg models
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Chang, Yue-Yue, Cheng, Jun-Qing, Shao, Hui, Yao, Dao-Xin, and Wu, Han-Qing
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Condensed Matter - Strongly Correlated Electrons - Abstract
We investigate the magnetic excitations of the trimerized Heisenberg models with intra-trimer interaction $J_1$ and inter-trimer interaction $J_2$ on four different two-dimensional lattices using a combination of stochastic series expansion quantum Monte Carlo (SSE QMC) and stochastic analytic continuation methods (SAC), complemented by cluster perturbation theory (CPT). These models exhibit quasi-particle-like excitations when $g=J_2/J_1$ is small, characterized by low-energy magnons, intermediate-energy doublons, and high-energy quartons. The low-energy magnons are associated with the magnetic ground states. They can be described by the linear spin wave theory (LSWT) of the effective block spin model and the original spin model. Doublons and quartons emerge from the corresponding internal excitations of the trimers with distinct energy levels, which can be effectively analyzed using perturbation theory when the ratio of exchange interactions $g$ is small. In this small $g$ regime, we observe a clear separation between the magnon and higher-energy spectra. However, as $g$ increases, these three spectra gradually merge into the magnon modes or continua. Nevertheless, the LSWT fails to provide quantitative descriptions of the higher-energy excitation bands due to significant quantum fluctuations. Notably, in the Collinear II and trimerized hexagon lattice, a broad continuum emerges above the single-magnon spectrum, originating from the quasi-1D physics due to the dilute connections between chains. Our numerical analysis of these 2D trimers yields valuable theoretical predictions and explanations for the inelastic neutron scattering (INS) spectra of 2D magnetic materials featuring trimerized lattices.
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- 2023
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34. From Fractional Quantum Anomalous Hall Smectics to Polar Smectic Metals: Nontrivial Interplay Between Electronic Liquid Crystal Order and Topological Order in Correlated Topological Flat Bands
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Lu, Hongyu, Wu, Han-Qing, Chen, Bin-Bin, Sun, Kai, and Meng, Zi Yang
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Condensed Matter - Strongly Correlated Electrons ,Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
Symmetry-breaking orders can not only compete with each other, but also be interwined, and the interwined topological and symmetry-breaking orders make the situation more intriguing. This work examines the archetypal correlated flat band model on a checkerboard lattice at filling $\nu=2/3$ and we find the unique interplay between smectic charge order and topological order gives rise to two novel quantum states. As the interaction strength increases, the system first transitions from a Fermi liquid into FQAH smectic (FQAHS) state, where FQAH topological order coexists cooperatively with smectic charge order with enlarged ground-state degeneracy and interestingly, the Hall conductivity is $\sigma_{xy}=\nu=2/3$, different from the band-folding or doping scenarios. Further increasing the interaction strength, the system undergoes another quantum phase transition and evolves into a polar smectic metal (PSM) state. This emergent PSM is an anisotropic non-Fermi liquid, whose interstripe tunneling is irrelevant while it is metallic inside each stripe. Different from the FQAHS and conventional smectic orders, this PSM spontaneously breaks the two-fold rotational symmetry, resulting in a nonzero electric dipole moment and ferroelectric order. In addition to the exotic ground states, large-scale numerical simulations are also used to study low-energy excitations and thermodynamic characteristics. We find the onset temperature of the incompressible FQAHS state, which also coincides with the onset of non-polar smectic order, is dictated by the magneto-roton modes. Above this onset temperature, the PSM state exists at intermediate-temperature regime. Although the T = 0 quantum phase transition between PSM and FQAHS is first order, the thermal FQAHS-PSM transition could be continuous. We expect the features of the exotic states and thermal phase transitions could be accessed in future experiments.
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- 2023
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35. Phase diagram and critical behavior of Hubbard model on the square-hexagon-octagon lattice
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Jia, Xinwei, Yao, Dao-Xin, and Wu, Han-Qing
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Condensed Matter - Strongly Correlated Electrons - Abstract
Employing the projective formalism of determinant quantum Monte Carlo (DQMC) simulations, we meticulously explore the ground-state phase diagram and critical behavior of the half-filled Hubbard model on a square-hexagon-octagon (SHO) lattice. This lattice, a two-dimensional (2D) structure comprising squares, hexagons, and octagons, is representative of the biphenylene network (BPN). Our findings reveal an intriguing ground-state phase diagram, featuring an antiferromagnetic (AFM) Mott insulating phase enveloped by three valence-bond solid-like (VBS-like) insulating phases. Analyzing the single-particle gap, spin gap, and single-particle spectral function, we observe that the metallic state in the noninteracting case becomes unstable under the influence of Hubbard U. This interaction drives the system into a hexagon insulating phase before transitioning into an AFM Mott insulating phase. To quantify the critical exponents, we use finite-size scaling techniques. The critical exponents of quantum critical points between the AFM Mott insulating phase and two insulating phases, plaquette insulator and ethylene insulator, closely align with the 3D O(3) universality class. However, the critical exponents of quantum critical points between the hexagon insulating phase and the AFM Mott insulating phase deviate from the 3D O(3) universality class. This deviation is a finite-size effect and can be attributed to the coupling between the fluctuations of magnetic order parameter and very low-energy fermionic excitations. Our comprehensive study not only advances the understanding of correlation effects on the SHO lattice but also sheds light on the less-explored critical exponents in weakly insulating quantum critical point.
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- 2023
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36. Two-Step Electronic Response to Magnetic Ordering in a van der Waals Ferromagnet
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Wu, Han, Zhu, Jian-Xin, Chen, Lebing, Butcher, Matthew W, Yue, Ziqin, Yuan, Dongsheng, He, Yu, Oh, Ji Seop, Huang, Jianwei, Wu, Shan, Gong, Cheng, Guo, Yucheng, Mo, Sung-Kwan, Denlinger, Jonathan D., Lu, Donghui, Hashimoto, Makoto, Stone, Matthew B., Kolesnikov, Alexander I., Chi, Songxue, Kono, Junichiro, Nevidomskyy, Andriy H., Birgeneau, Robert J., Dai, Pengcheng, and Yi, Ming
- Subjects
Condensed Matter - Strongly Correlated Electrons ,Condensed Matter - Materials Science - Abstract
The two-dimensional (2D) material Cr$_2$Ge$_2$Te$_6$ is a member of the class of insulating van der Waals magnets. Here, using high resolution angle-resolved photoemission spectroscopy in a detailed temperature dependence study, we identify a clear response of the electronic structure to a dimensional crossover in the form of two distinct temperature scales marking onsets of modifications in the electronic structure. Specifically, we observe Te $p$-orbital-dominated bands to undergo changes at the Curie transition temperature T$_C$ while the Cr $d$-orbital-dominated bands begin evolving at a higher temperature scale. Combined with neutron scattering, density functional theory calculations, and Monte Carlo simulations, we find that the electronic system can be consistently understood to respond sequentially to the distinct temperatures at which in-plane and out-of-plane spin correlations exceed a characteristic length scale. Our findings reveal the sensitivity of the orbital-selective electronic structure for probing the dynamical evolution of local moment correlations in vdW insulating magnets., Comment: PRB, in press
- Published
- 2023
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37. CLIP in Medical Imaging: A Comprehensive Survey
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Zhao, Zihao, Liu, Yuxiao, Wu, Han, Wang, Mei, Li, Yonghao, Wang, Sheng, Teng, Lin, Liu, Disheng, Cui, Zhiming, Wang, Qian, and Shen, Dinggang
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training paradigm, successfully introduces text supervision to vision models. It has shown promising results across various tasks, attributable to its generalizability and interpretability. The use of CLIP has recently gained increasing interest in the medical imaging domain, serving both as a pre-training paradigm for aligning medical vision and language, and as a critical component in diverse clinical tasks. With the aim of facilitating a deeper understanding of this promising direction, this survey offers an in-depth exploration of the CLIP paradigm within the domain of medical imaging, regarding both refined CLIP pre-training and CLIP-driven applications. In this study, We (1) start with a brief introduction to the fundamentals of CLIP methodology. (2) Then, we investigate the adaptation of CLIP pre-training in the medical domain, focusing on how to optimize CLIP given characteristics of medical images and reports. (3) Furthermore, we explore the practical utilization of CLIP pre-trained models in various tasks, including classification, dense prediction, and cross-modal tasks. (4) Finally, we discuss existing limitations of CLIP in the context of medical imaging and propose forward-looking directions to address the demands of medical imaging domain. We expect that this comprehensive survey will provide researchers in the field of medical image analysis with a holistic understanding of the CLIP paradigm and its potential implications. The project page can be found on https://github.com/zhaozh10/Awesome-CLIP-in-Medical-Imaging., Comment: Project page available at https://github.com/zhaozh10/Awesome-CLIP-in-Medical-Imaging
- Published
- 2023
38. Thermodynamic Response and Neutral Excitations in Integer and Fractional Quantum Anomalous Hall States Emerging from Correlated Flat Bands
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Lu, Hongyu, Chen, Bin-Bin, Wu, Han-Qing, Sun, Kai, and Meng, Zi Yang
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Condensed Matter - Strongly Correlated Electrons ,Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
Integer and fractional Chern insulators have been extensively explored in correlated flat band models. Recently, the prediction and experimental observation of fractional quantum anomalous Hall (FQAH) states with spontaneous time-reversal-symmetry breaking have garnered attention. While the thermodynamics of integer quantum anomalous Hall (IQAH) states have been systematically studied, our theoretical knowledge on thermodynamic properties of FQAH states has been severely limited. Here, we delve into the general thermodynamic response and collective excitations of both IQAH and FQAH states within the paradigmatic flat Chern-band model with remote band considered. Our key findings include: i) In both $\nu$ = 1 IQAH and $\nu$ = 1/3 FQAH states, even without spin fluctuations, the charge-neutral collective excitations would lower the onset temperature of these topological states, to a value significantly smaller than the charge gap, due to band-mixing and multi-particle scattering; ii) By employing large-scale thermodynamic simulations in FQAH states in the presence of strong inter-band mixing between C = $\pm1$ bands, we find that the lowest collective excitations manifest as the zero-momentum excitons in the IQAH state, whereas in the FQAH state, they take the form of magneto-rotons with finite momentum; iii) The unique charge oscillations in FQAH states are exhibited with distinct experimental signatures, which we propose to detect in future experiments.
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- 2023
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39. Qin's Algorithm, Continued Fractions and 2-dimensional Lattices
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Wu, Han and Xu, Guangwu
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Mathematics - Number Theory - Abstract
In his celebrated book "Mathematical Treatise in Nine Sections" of 1247, Qin, Jiushao described the Chinese remainder theorem with great detail and generality. He also gave a method for computing modular inverse under the name of "DaYan deriving one". Historical significance of DaYan deriving one method has been well studied. In this paper, we investigate its modern mathematical nature from the perspectives of number theory and algorithm. One of the remarkable features of Qin's algorithm is that it keeps a state of four variables in a matrix form. Its choice of variables and layout provide natural ways of connecting several important mathematical concepts. An invariant about the state is also observed which provides a convenient yet powerful tool in proving several important mathematical results. The paper first explains Qin's algorithm and proves some of its properties. Then the connection with continued fractions is examined, the results show that the states of Qin's algorithm contain rich information about continued fractions and some classical arguments can be derived easily. The last part of the paper discusses a family of 2-dimensional lattices of number theoretic significance by proving that the shortest vectors of these lattices can be obtained from the states of Qin's algorithm. This result is surprising in that a shortest lattice vector is found in a well-regulated set. A method of computing such shortest vectors is proposed.ed.
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- 2023
40. On A Generalization of Motohashi's Formula
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Wu, Han
- Subjects
Mathematics - Number Theory - Abstract
We give an adelic version of a spectral reciprocity formula relating $\mathrm{GL}_3 \times \mathrm{GL}_2$ with $\mathrm{GL}_3 \times \mathrm{GL}_1$ and $\mathrm{GL}_1$ moments of $L$-functions discovered by Xiaoqing Li. For many types of the $\mathrm{GL}_3$ representation, we describe the local weight transforms via a decomposition of Voronoi's formula in terms of elementary transforms, which generalizes the one given by Miller--Schmid in a way consistent with the local Langlands correspondence. We obtain some integral representation of the Bessel functions for $\mathrm{GL}_2$ uniformly over all local fields. We announce the dual weight computation in a new case, which identifies the coset problem parallel to that in Petrow--Young's Weyl-type subconvexity for general Dirichlet $L$-functions. The proof and extensive study of other accessible cases will be given in a separate paper., Comment: We clarify the main ideas and methods in this version, especially its difference from Kwan or any other existing methods
- Published
- 2023
41. Fine-grained Conversational Decoding via Isotropic and Proximal Search
- Author
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Yao, Yuxuan, Wu, Han, Xu, Qiling, and Song, Linqi
- Subjects
Computer Science - Computation and Language - Abstract
General-purpose text decoding approaches are usually adopted for dialogue response generation. Although the quality of the generated responses can be improved with dialogue-specific encoding methods, conversational decoding methods are still under-explored. Inspired by \citet{wu2023learning} that a good dialogue feature space should follow the rules of locality and isotropy, we present a fine-grained conversational decoding method, termed \textit{isotropic and proximal search (IPS)}. Our method is designed to generate the semantic-concentrated response, while still maintaining informativeness and discrimination against the context. Experiments show that our approach outperforms existing decoding strategies in the dialogue field across both automatic and human evaluation metrics. More in-depth analyses further confirm the effectiveness of our approach., Comment: Accepted to EMNLP 2023 Main Conference
- Published
- 2023
42. Incubation Period and Serial Interval of Mpox in 2022 Global Outbreak Compared with Historical Estimates
- Author
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Ponce, Luis, Linton, Natalie M., Toh, Wu Han, Cheng, Hao-Yuan, Thompson, Robin N., Akhmetzhanov, Andrei R., and Dushoff, Jonathan
- Subjects
Human monkeypox -- Development and progression -- Care and treatment ,Disease transmission -- Evaluation ,Public health administration -- Evaluation ,Health - Abstract
Mpox, caused by monkeypox virus (MPXV), is a viral illness characterized by rash, influenza-like symptoms, and fever. A global outbreak of mpox attracted increased public attention in 2022 and became [...]
- Published
- 2024
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43. Incidence and risk factors of subsequent vertebral fracture following percutaneous vertebral augmentation in postmenopausal women
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Cheng, Yuanpei, Chen, Xipeng, Li, Yongbo, Tan, Zhe, Yao, Xingchen, Jiang, Rui, and Wu, Han
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- 2024
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44. Effects of Humic Acid-Copper Interactions on Growth, Nutrient Absorption, and Photosynthetic Performance of Citrus sinensis Seedlings in Sand Culture
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Huang, Wei-Tao, Shen, Qian, Yang, Hui, Chen, Xu-Feng, Huang, Wei-Lin, Wu, Han-Xue, Lai, Ning-Wei, Yang, Lin-Tong, Huang, Zeng-Rong, and Chen, Li-Song
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- 2024
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45. Photocatalytic doping of organic semiconductors
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Jin, Wenlong, Yang, Chi-Yuan, Pau, Riccardo, Wang, Qingqing, Tekelenburg, Eelco K., Wu, Han-Yan, Wu, Ziang, Jeong, Sang Young, Pitzalis, Federico, Liu, Tiefeng, He, Qiao, Li, Qifan, Huang, Jun-Da, Kroon, Renee, Heeney, Martin, Woo, Han Young, Mura, Andrea, Motta, Alessandro, Facchetti, Antonio, Fahlman, Mats, Loi, Maria Antonietta, and Fabiano, Simone
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- 2024
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46. m6A reader YTHDF1 promotes cardiac fibrosis by enhancing AXL translation
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Wu, Han, Jiang, Weitao, Pang, Ping, Si, Wei, Kong, Xue, Zhang, Xinyue, Xiong, Yuting, Wang, Chunlei, Zhang, Feng, Song, Jinglun, Yang, Yang, Zeng, Linghua, Liu, Kuiwu, Jia, Yingqiong, Wang, Zhuo, Ju, Jiaming, Diao, Hongtao, Bian, Yu, and Yang, Baofeng
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- 2024
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47. Optimization Method for Key Structures of Absorbers at Specific Frequencies Based on Fitting Functions
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Ji, Shijun, Ren, Hailin, Luo, Zhiyou, Zhao, Ji, Wu, Han, and Dai, Handa
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- 2024
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48. High-speed railway seismic response prediction using CNN-LSTM hybrid neural network
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Zhang, Xuebing, Xie, Xiaonan, Tang, Shenghua, Zhao, Han, Shi, Xueji, Wang, Li, Wu, Han, and Xiang, Ping
- Published
- 2024
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49. Integrated Metagenomics and 15N Isotope Tracing Reveal the Mechanisms Through which the Nitrogen-Planting Density Interaction Impacts Rice Root Nitrogen Uptake Efficiency
- Author
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Sun, Changhui, Lu, Yanyao, Tang, Guoping, Wang, Runnan, Wu, Han, Zhang, Jiao, Cai, Shuo, Zhu, Jinyan, and Xiong, Qiangqiang
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- 2024
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50. Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach
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Su, Emily Chia-Yu and Wu, Han-Ming
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- 2024
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