Papers
Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
Han Yu, Xiaojuan Zhao, Aiping Li et al.
CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations
Guanyuan Yu, Yijun Chen, Liang Xu et al.
ConSurv: Multimodal Continual Learning for Survival Analysis
Dianzhi Yu, Conghao Xiong, Yankai Chen et al.
How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation
Zinuo You, Jin Zheng, John Cartlidge
A Flat Minima Perspective on Understanding Augmentations and Model Robustness
Weebum Yoo, Sung Whan Yoon
R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models
Tianyi Yin, Jingwei Wang, Chenze Wang et al.
Deep Reinforcement Learning for Scalable Offline Three-Dimensional Packing
Hao Yin, Hongjie He, Fan Chen
DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation
Le Yi, Wei Huang, Lei Zhang et al.
Quantum Lipschitz Bandits
Bongsoo Yi, Yue Kang, Yao Li
Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint
Zhong Ye, Yu Hu, Zhenguo Yang
Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning
Zhiwei Ye, Songsong Zhang, Wen Zhou et al.
An Invariant Latent Space Perspective on Language Model Inversion
Wentao Ye, Jiaqi Hu, Haobo Wang et al.
SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias
Wenqian Ye, Di Wang, Guangtao Zheng et al.
PARS: Partial-Label-Learning-inspired Recommender Systems
Shanshan Ye, Kezhi Lu, Guangquan Zhang et al.
MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification
Jiexia Ye, Weiqi Zhang, Ziyue Li et al.
Rethink Representation Learning for Questionnaire Data
Guanhua Ye, Jifeng He, Yan Li et al.
Learning Adaptive and Expandable Mixture Model for Continual Learning
Fei Ye, YongCheng Zhong, Qihe Liu et al.
Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection
Shibo Yao, Renshuai Tao, Xiaolong Zheng et al.
Yours or Mine? Overwriting Attacks Against Neural Audio Watermarking
Lingfeng Yao, Chenpei Huang, Shengyao Wang et al.
Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization
Ziduo Yang, Yi-Ming Zhao, Xian Wang et al.
Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models
Zhiwen Yang, Jiehua Zhang, Chenggang Yan et al.
Stationary and Clustering Transformer Hashing for Cross-modal Retrieval
Zhan Yang, Yiran Liu, Youyuan Huang et al.
Streaming Generated Gaussian Process Experts for Online Learning and Control
Zewen Yang, Dongfa Zhang, Xiaobing Dai et al.
DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks
Yunfei Yang, Xiaojun Chen, Yuexin Xuan et al.
Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach
Yiyuan Yang, Guodong Long, Qinghua Lu et al.