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2. Cross-Modal Adapter for Text-Video Retrieval

Author

Jiang, Haojun, Zhang, Jianke, Huang, Rui, Ge, Chunjiang, Ni, Zanlin, Lu, Jiwen, Zhou, Jie, Song, Shiji, and Huang, Gao

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

Text-video retrieval is an important multi-modal learning task, where the goal is to retrieve the most relevant video for a given text query. Recently, pre-trained models, e.g., CLIP, show great potential on this task. However, as pre-trained models are scaling up, fully fine-tuning them on text-video retrieval datasets has a high risk of overfitting. Moreover, in practice, it would be costly to train and store a large model for each task. To overcome the above issues, we present a novel $\textbf{Cross-Modal Adapter}$ for parameter-efficient fine-tuning. Inspired by adapter-based methods, we adjust the pre-trained model with a few parameterization layers. However, there are two notable differences. First, our method is designed for the multi-modal domain. Secondly, it allows early cross-modal interactions between CLIP's two encoders. Although surprisingly simple, our approach has three notable benefits: (1) reduces $\textbf{99.6}\%$ of fine-tuned parameters, and alleviates the problem of overfitting, (2) saves approximately 30% of training time, and (3) allows all the pre-trained parameters to be fixed, enabling the pre-trained model to be shared across datasets. Extensive experiments demonstrate that, without bells and whistles, it achieves superior or comparable performance compared to fully fine-tuned methods on MSR-VTT, MSVD, VATEX, ActivityNet, and DiDeMo datasets. The code will be available at \url{https://github.com/LeapLabTHU/Cross-Modal-Adapter}., Comment: Tech Report

Published
2022

7. Study on Electromagnetic Shielding Performance of Carbon Fiber Composites

Author

Zhang, Jianke, Wang, Jikong, Yu, Tao, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Duan, Baoyan, editor, Umeda, Kazunori, editor, and Kim, Chang-wan, editor

Published
2022
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10. Fractional STIR Epidemic Model for Opinion Dissemination in Social Networks

Author

Tong, Qiujuan, Dong, Ruining, Zhang, Jianke, Yang, Xiaobao, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Meng, Hongying, editor, Lei, Tao, editor, Li, Maozhen, editor, Li, Kenli, editor, Xiong, Ning, editor, and Wang, Lipo, editor

Published
2021
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12. The Fractional SEIRS Epidemic Model for Information Dissemination in Social Networks

Author

Tong, Qiujuan, Wang, Huan, Zhang, Jianke, Li, Linna, Huang, Qiongdan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Liu, Yong, editor, Wang, Lipo, editor, Zhao, Liang, editor, and Yu, Zhengtao, editor

Published
2020
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13. The Residual Power Series Method for Solving the Fractional Fuzzy Delay Differential Equation

Author

Tong, Qiujuan, Zang, Yongzhen, Zhang, Jianke, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Liu, Yong, editor, Wang, Lipo, editor, Zhao, Liang, editor, and Yu, Zhengtao, editor

Published
2020
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21. A Two-Step Newton Algorithm for the Weighted Complementarity Problem with Local Biquadratic Convergence.

Author

Liu, Xiangjing, Liu, Yihan, and Zhang, Jianke

Subjects
COMPLEMENTARITY constraints (Mathematics), LINEAR complementarity problem, ALGORITHMS, NONLINEAR equations, NEWTON-Raphson method, EQUATIONS
Abstract

We discuss the weighted complementarity problem, extending the nonlinear complementarity problem on R n . In contrast to the NCP, many equilibrium problems in science, engineering, and economics can be transformed into WCPs for more efficient methods. Smoothing Newton algorithms, known for their at least locally superlinear convergence properties, have been widely applied to solve WCPs. We suggest a two-step Newton approach with a local biquadratic order convergence rate to solve the WCP. The new method needs to calculate two Newton equations at each iteration. We also insert a new term, which is of crucial importance for the local biquadratic convergence properties when solving the Newton equation. We demonstrate that the solution to the WCP is the accumulation point of the iterative sequence produced by the approach. We further demonstrate that the algorithm possesses local biquadratic convergence properties. Numerical results indicate the method to be practical and efficient. [ABSTRACT FROM AUTHOR]

Published
2023
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28. Strong Convergence of a Two-Step Modified Newton Method for Weighted Complementarity Problems.

Author

Liu, Xiangjing and Zhang, Jianke

Subjects
*NEWTON-Raphson method, *COMPLEMENTARITY constraints (Mathematics), *SMOOTHING (Numerical analysis), *SMOOTHNESS of functions
Abstract

This paper focuses on the weighted complementarity problem (WCP), which is widely used in the fields of economics, sciences and engineering. Not least because of its local superlinear convergence rate, smoothing Newton methods have widespread application in solving various optimization problems. A two-step smoothing Newton method with strong convergence is proposed. With a smoothing complementary function, the WCP is reformulated as a smoothing set of equations and solved by the proposed two-step smoothing Newton method. In each iteration, the new method computes the Newton equation twice, but using the same Jacobian, which can avoid consuming a lot of time in the calculation. To ensure the global convergence, a derivative-free line search rule is inserted. At the same time, we develop a different term in the solution of the smoothing Newton equation, which guarantees the local strong convergence. Under appropriate conditions, the algorithm has at least quadratic or even cubic local convergence. Numerical experiments indicate the stability and effectiveness of the new method. Moreover, compared to the general smoothing Newton method, the two-step smoothing Newton method can significantly improve the computational efficiency without increasing the computational cost. [ABSTRACT FROM AUTHOR]

Published
2023
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44. Functional complementation between FADD and RIP1 in embryos and lymphocytes

Author

Zhang, Haibing, Zhou, Xiaohui, McQuade, Thomas, Li, Jinghe, Chan, Francis Ka-Ming, and Zhang, Jianke

Subjects
Embryonic development -- Physiological aspects -- Genetic aspects -- Research, Lymphocytes -- Physiological aspects -- Genetic aspects -- Research, Cellular signal transduction -- Physiological aspects -- Genetic aspects -- Research, Apoptosis -- Physiological aspects -- Genetic aspects -- Research, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

FADD is a common adaptor shared by several death receptors for signalling apoptosis through recruitment and activation of caspase 8 (refs 1-3). Death receptors are essential for immune homeostasis, but [...]

Published
2011
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