Li, Yidong

12 publications

CVPR 2025 A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering Zheming Xu, He Liu, Congyan Lang, Tao Wang, Yidong Li, Michael C. Kampffmeyer

AAAI 2025 CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework Yushan Han, Hui Zhang, Honglei Zhang, Jing Wang, Yidong Li

NeurIPS 2025 Neural Fractional Attention Differential Equations Qiyu Kang, Wenjun Cui, Xuhao Li, Yuxin Ma, Xueyang Fu, Wee Peng Tay, Yidong Li, Zheng-Jun Zha

AAAI 2025 Neural Variable-Order Fractional Differential Equation Networks Wenjun Cui, Qiyu Kang, Xuhao Li, Kai Zhao, Wee Peng Tay, Weihua Deng, Yidong Li

NeurIPS 2025 SALS: Sparse Attention in Latent Space for KV Cache Compression Junlin Mu, Hantao Huang, Jihang Zhang, Minghui Yu, Tao Wang, Yidong Li

NeurIPS 2024 DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment Gongpei Zhao, Tao Wang, Congyan Lang, Yi Jin, Yidong Li, Haibin Ling

NeurIPS 2024 Generated and Pseudo Content Guided Prototype Refinement for Few-Shot Point Cloud Segmentation Lili Wei, Congyan Lang, Ziyi Chen, Tao Wang, Yidong Li, Jun Liu

ICCV 2023 Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients Wenshuo Ma, Yidong Li, Xiaofeng Jia, Wei Xu

AAAI 2021 Unsupervised Domain Adaptation for Person Re-Identification via Heterogeneous Graph Alignment Minying Zhang, Kai Liu, Yidong Li, Shihui Guo, Hongtao Duan, Yimin Long, Yi Jin

ECCV 2020 CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations Yuanhan Zhang, ZhenFei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu

AAAI 2020 Domain Adaptive Attention Learning for Unsupervised Person Re-Identification Yangru Huang, Peixi Peng, Yi Jin, Yidong Li, Junliang Xing

ECML-PKDD 2020 Partial Label Learning via Self-Paced Curriculum Strategy Gengyu Lyu, Songhe Feng, Yi Jin, Yidong Li