Li, Wu-Jun

46 publications

AAAI 2025 DrugHash: Hashing Based Contrastive Learning for Virtual Screening Jin Han, Yun Hong, Wu-Jun Li

NeurIPS 2025 Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models Yan-Shuo Liang, Jiarui Chen, Wu-Jun Li

ICML 2025 On the Tension Between Byzantine Robustness and No-Attack Accuracy in Distributed Learning Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li

AAAI 2025 TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian

CVPR 2025 UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming Hao Lin, Ke Wu, Jie Li, Jun Li, Wu-Jun Li

CVPR 2024 InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning Yan-Shuo Liang, Wu-Jun Li

ICLR 2024 On the Effect of Batch Size in Byzantine-Robust Distributed Learning Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li

NeurIPS 2024 Ordered Momentum for Asynchronous SGD Chang-Wei Shi, Yi-Rui Yang, Wu-Jun Li

CVPR 2023 Adaptive Plasticity Improvement for Continual Learning Yan-Shuo Liang, Wu-Jun Li

JMLR 2023 Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang, Wu-Jun Li

NeurIPS 2023 Loss Decoupling for Task-Agnostic Continual Learning Yan-Shuo Liang, Wu-Jun Li

MLJ 2023 State-Based Episodic Memory for Multi-Agent Reinforcement Learning Xiao Ma, Wu-Jun Li

ICML 2021 BASGD: Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang, Wu-Jun Li

IJCAI 2021 Blocking-Based Neighbor Sampling for Large-Scale Graph Neural Networks Kai-Lang Yao, Wu-Jun Li

ECCV 2020 ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie

AAAI 2020 Hashing Based Answer Selection Dong Xu, Wu-Jun Li

JMLR 2019 Robust Frequent Directions with Application in Online Learning Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang

AAAI 2018 Asymmetric Deep Supervised Hashing Qing-Yuan Jiang, Wu-Jun Li

NeurIPS 2018 Proximal SCOPE for Distributed Sparse Learning Shenyi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li

CVPR 2017 Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li

AAAI 2017 Lock-Free Optimization for Non-Convex Problems Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li

AAAI 2017 SCOPE: Scalable Composite Optimization for Learning on Spark Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li

IJCAI 2017 Semi-Supervised Deep Hashing with a Bipartite Graph Xinyu Yan, Lijun Zhang, Wu-Jun Li

AAAI 2016 Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou

AAAI 2016 Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee Shen-Yi Zhao, Wu-Jun Li

IJCAI 2016 Feature Learning Based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang, Wang-Cheng Kang

IJCAI 2015 Scalable Graph Hashing with Feature Transformation Qing-Yuan Jiang, Wu-Jun Li

ICML 2015 Support Matrix Machines Luo Luo, Yubo Xie, Zhihua Zhang, Wu-Jun Li

ICML 2014 Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising Ling Yan, Wu-Jun Li, Gui-Rong Xue, Dingyi Han

NeurIPS 2014 Distributed Power-Law Graph Computing: Theoretical and Empirical Analysis Cong Xie, Ling Yan, Wu-Jun Li, Zhihua Zhang

AAAI 2014 Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization Dongqing Zhang, Wu-Jun Li

IJCAI 2013 Collaborative Topic Regression with Social Regularization for Tag Recommendation Hao Wang, Binyi Chen, Wu-Jun Li

IJCAI 2013 Online Egocentric Models for Citation Networks Hao Wang, Wu-Jun Li

AAAI 2012 Double-Bit Quantization for Hashing Weihao Kong, Wu-Jun Li

AAAI 2012 Emoticon Smoothed Language Models for Twitter Sentiment Analysis Kun-Lin Liu, Wu-Jun Li, Minyi Guo

NeurIPS 2012 Isotropic Hashing Weihao Kong, Wu-jun Li

AAAI 2012 Sparse Probabilistic Relational Projection Wu-Jun Li, Dit-Yan Yeung

IJCAI 2011 Generalized Latent Factor Models for Social Network Analysis Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang

AAAI 2011 Social Relations Model for Collaborative Filtering Wu-Jun Li, Dit-Yan Yeung

AAAI 2010 Gaussian Process Latent Random Field Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu

AISTATS 2009 Coherence Functions for Multicategory Margin-Based Classification Methods Zhihua Zhang, Michael Jordan, Wu-Jun Li, Dit-Yan Yeung

AISTATS 2009 Latent Wishart Processes for Relational Kernel Learning Wu-Jun Li, Zhihua Zhang, Dit-Yan Yeung

CVPR 2009 Localized Content-Based Image Retrieval Through Evidence Region Identification Wu-Jun Li, Dit-Yan Yeung

NeurIPS 2009 Probabilistic Relational PCA Wu-jun Li, Dit-Yan Yeung, Zhihua Zhang

IJCAI 2009 Relation Regularized Matrix Factorization Wu-Jun Li, Dit-Yan Yeung

CVPR 2006 Joint Boosting Feature Selection for Robust Face Recognition Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang