784 results on '"LINA YAO"'
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52. Meta-learning for Estimating Multiple Treatment Effects with Imbalance.
53. Modeling Temporal Positive and Negative Excitation for Sequential Recommendation.
54. Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios.
55. Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation.
56. Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems.
57. Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems.
58. NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes.
59. From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations.
60. DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender.
61. Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.
62. IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation.
63. Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph.
64. PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning.
65. Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation.
66. Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning.
67. Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation.
68. ALDA: An Adaptive Layout Design Assistant for Diverse Posters throughout the Design Process.
69. Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs.
70. Harnessing Confidence for Report Aggregation in Crowdsourcing Environments.
71. Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.
72. Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning.
73. Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition.
74. Contrastive Conditional Neural Processes.
75. Fault diagnosis for bilinear stochastic distribution systems with actuator fault.
76. A survey on participant selection for federated learning in mobile networks.
77. An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification.
78. Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment.
79. Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems.
80. Contrastive Individual Treatment Effects Estimation.
81. Multi-agent Transformer Networks for Multimodal Human Activity Recognition.
82. Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios.
83. Attentional Gated Res2net for Multivariate Time Series Classification.
84. Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification.
85. Cycle-Balanced Representation Learning For Counterfactual Inference.
86. Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation.
87. Hierarchical Task-aware Multi-Head Attention Network.
88. Socially-aware Dual Contrastive Learning for Cold-Start Recommendation.
89. NPCL: Neural Processes for Uncertainty-Aware Continual Learning.
90. Mask Propagation for Efficient Video Semantic Segmentation.
91. Fault diagnosis and fault-tolerant control for leader-follower multi-agent systems with time-delay.
92. RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net.
93. NP-PROV: Neural Processes with Position-Relevant-Only Variances.
94. Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations.
95. Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment.
96. Intention Recognition from Spatio-Temporal Representation of EEG Signals.
97. Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction.
98. HFM++: An Enhanced Holographic Factorization Machine for Recommendation.
99. Global Convolutional Neural Processes.
100. MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning.
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