Wu-Jun Li - RankMe

146 papers A* 43A 11B 3Misc 3Journal 76Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Controllable Financial Market Generation with Diffusion Guided Meta Agent. AAAI Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian
2026	A*	`conf`	Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays. AAAI Chang-Wei Shi, Shi-Shang Wang, Wu-Jun Li
2026	J	`jnl`	Ordered Local Momentum for Asynchronous Distributed Learning under Arbitrary Delays. CoRR Chang-Wei Shi, Shi-Shang Wang, Wu-Jun Li
2025	J	`jnl`	An artificial intelligence system for qualified mucosal observation time during colonoscopic withdrawal. npj Digit. Medicine Wu-Jun Li, Peng Yan, Muhan Ni, Jin-Dong Zhou, Lin Zhou, Xiang Zhang, Zhenyu Zhang, Ningjing Gao, Zhanwen Ji, Duanming Zhuang, Hao Zhu, Min Chen, Guifang Xu, Xiaoping Zou, Chunyan Peng, Dehua Tang, Lei Wang
2025	J	`jnl`	Clustered Reinforcement Learning. Frontiers Comput. Sci. Xiao Ma, Shen-Yi Zhao, Zhao-Heng Yin, Wu-Jun Li
2025	A	`conf`	Discriminate Weight Approximation for Efficient DSP Packing in LLM Accelerators. ICCAD Jun Li, Yangyijian Liu, Chang-Wei Shi, Mingyang Li, Wu-Jun Li
2025	A*	`conf`	DrugHash: Hashing Based Contrastive Learning for Virtual Screening. AAAI Jin Han, Yun Hong, Wu-Jun Li
2025	J	`jnl`	From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning? CoRR Hanqun Cao, Hongrui Zhang, Junde Xu, Zhou Zhang, Lingdong Shen, Minghao Sun, Ge Liu, Jinbo Xu, Wu-Jun Li, Jinren Ni, Cesar de la Fuente-Nunez, Tianfan Fu, Yejin Choi, Pheng-Ann Heng, Fang Wu
2025	J	`jnl`	Gated Integration of Low-Rank Adaptation for Continual Learning of Language Models. CoRR Yan-Shuo Liang, Wu-Jun Li
2025	J	`jnl`	Grey-Box Adversarial Attack on Communication in Communicative Multi-Agent Reinforcement Learning. IEEE Trans. Inf. Forensics Secur. Xiao Ma, Wu-Jun Li
2025	J	`jnl`	Hardware Computation Graph for DNN Accelerator Design Automation Without Inter-PU Templates. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jun Li, Wei Wang, Wu-Jun Li
2025	A*	`conf`	On the Tension between Byzantine Robustness and No-Attack Accuracy in Distributed Learning. ICML Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li
2025	J	`jnl`	PIPO: Pipelined Offloading for Efficient Inference on Consumer Devices. CoRR Yangyijian Liu, Jun Li, Wu-Jun Li
2025	J	`jnl`	PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking. CoRR Yize Jiang, Xinze Li, Yuanyuan Zhang, Jin Han, Youjun Xu, Ayush Pandit, Zaixi Zhang, Mengdi Wang, Mengyang Wang, Chong Liu, Guang Yang, Yejin Choi, Wu-Jun Li, Tianfan Fu, Fang Wu, Junhong Liu
2025	J	`jnl`	RadDiff: Retrieval-Augmented Denoising Diffusion for Protein Inverse Folding. CoRR Jin Han, Tianfan Fu, Wu-Jun Li
2025	A*	`conf`	TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts. AAAI Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian
2025	J	`jnl`	TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts. CoRR Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian
2025	A*	`conf`	UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming. CVPR Hao Lin, Ke Wu, Jie Li, Jun Li, Wu-Jun Li
2024	Misc	`conf`	AdvTTS: Adversarial Text-to-Speech Synthesis Attack on Speaker Identification Systems. ICASSP Chu-Xiao Zuo, Zhi-Jun Jia, Wu-Jun Li
2024	J	`jnl`	Asymmetric Learning for Graph Neural Network based Link Prediction. ACM Trans. Knowl. Discov. Data Kai-Lang Yao, Wu-Jun Li
2024	J	`jnl`	Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning. CoRR Kun Wang, Yi-Rui Yang, Wu-Jun Li
2024	J	`jnl`	Controllable Financial Market Generation with Diffusion Guided Meta Agent. CoRR Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian
2024	J	`jnl`	Hashing based Contrastive Learning for Virtual Screening. CoRR Jin Han, Yun Hong, Wu-Jun Li
2024	J	`jnl`	Hashing for Protein Structure Similarity Search. CoRR Jin Han, Wu-Jun Li
2024	A*	`conf`	InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning. CVPR Yan-Shuo Liang, Wu-Jun Li
2024	J	`jnl`	InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning. CoRR Yan-Shuo Liang, Wu-Jun Li
2024	J	`jnl`	LCQ: Low-Rank Codebook based Quantization for Large Language Models. CoRR Wen-Pu Cai, Wu-Jun Li
2024	J	`jnl`	NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance. CoRR Huan-Yi Su, Ke Wu, Yu-Hao Huang, Wu-Jun Li
2024	A*	`conf`	On the Effect of Batch Size in Byzantine-Robust Distributed Learning. ICLR Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li
2024	A*	`conf`	Ordered Momentum for Asynchronous SGD. NeurIPS Chang-Wei Shi, Yi-Rui Yang, Wu-Jun Li
2024	J	`jnl`	Ordered Momentum for Asynchronous SGD. CoRR Chang-Wei Shi, Yi-Rui Yang, Wu-Jun Li
2024	J	`jnl`	Re-quantization based binary graph neural networks. Sci. China Inf. Sci. Kai-Lang Yao, Wu-Jun Li
2024	J	`jnl`	SUETA: Speaker-specific utterance ensemble based transfer attack on speaker identification system. Comput. Secur. Chu-Xiao Zuo, Jia-Yi Leng, Wu-Jun Li
2024	J	`jnl`	Stochastic normalized gradient descent with momentum for large-batch training. Sci. China Inf. Sci. Shen-Yi Zhao, Chang-Wei Shi, Yin-Peng Xie, Wu-Jun Li
2024	A*	`conf`	Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning. ICRA Xiao Ma, Wu-Jun Li
2023	A*	`conf`	Adaptive Plasticity Improvement for Continual Learning. CVPR Yan-Shuo Liang, Wu-Jun Li
2023	J	`jnl`	Asymmetric Learning for Graph Neural Network based Link Prediction. CoRR Kai-Lang Yao, Wu-Jun Li
2023	J	`jnl`	Buffered Asynchronous SGD for Byzantine Learning. J. Mach. Learn. Res. Yi-Rui Yang, Wu-Jun Li
2023	A*	`conf`	Context Sketching for Memory-efficient Graph Representation Learning. ICDM Kai-Lang Yao, Wu-Jun Li
2023	J	`jnl`	FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning. CoRR Yi-Rui Yang, Kun Wang, Wu-Jun Li
2023	A	`conf`	Fooling Speaker Identification Systems with Adversarial Background Music. INTERSPEECH Chu-Xiao Zuo, Jia-Yi Leng, Wu-Jun Li
2023	J	`jnl`	GNNFormer: A Graph-based Framework for Cytopathology Report Generation. CoRR Yangfan Zhou, Kai-Lang Yao, Wu-Jun Li
2023	A	`conf`	Grey-box Adversarial Attack on Communication in Multi-agent Reinforcement Learning. AAMAS Xiao Ma, Wu-Jun Li
2023	A*	`conf`	Loss Decoupling for Task-Agnostic Continual Learning. NeurIPS Yan-Shuo Liang, Wu-Jun Li
2023	J	`jnl`	On the Optimal Batch Size for Byzantine-Robust Distributed Learning. CoRR Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li
2023	J	`jnl`	State-based episodic memory for multi-agent reinforcement learning. Mach. Learn. Xiao Ma, Wu-Jun Li
2023	J	`jnl`	UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming. CoRR Hao Lin, Ke Wu, Jun Li, Wu-Jun Li
2022	A*	`conf`	Cross Domain Robot Imitation with Invariant Representation. ICRA Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li
2022	A	`conf`	Hardware Computation Graph for DNN Accelerator Design Automation without Inter-PU Templates. ICCAD Jun Li, Wei Wang, Wu-Jun Li
2022	J	`jnl`	Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning. CoRR Yan-Shuo Liang, Wu-Jun Li
2022	A	`conf`	Speaker-Specific Utterance Ensemble based Transfer Attack on Speaker Identification. INTERSPEECH Chu-Xiao Zuo, Jia-Yi Leng, Wu-Jun Li
2022	—	`conf`	VSM: A Versatile Semi-supervised Model for Multi-modal Cell Instance Segmentation. Cell Segmentation Challenge @ NeurIPS Xiaochen Cai, Hengxing Cai, Kele Xu, Wei-Wei Tu, Wu-Jun Li
2021	A*	`conf`	BASGD: Buffered Asynchronous SGD for Byzantine Learning. ICML Yi-Rui Yang, Wu-Jun Li
2021	A*	`conf`	Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks. IJCAI Kai-Lang Yao, Wu-Jun Li
2021	Misc	`conf`	Cam: Context-Aware Masking for Robust Speaker Verification. ICASSP Ya-Qi Yu, Siqi Zheng, Hongbin Suo, Yun Lei, Wu-Jun Li
2021	J	`jnl`	Cross Domain Robot Imitation with Invariant Representation. CoRR Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li
2021	J	`jnl`	On the convergence and improvement of stochastic normalized gradient descent. Sci. China Inf. Sci. Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
2021	J	`jnl`	State-based Episodic Memory for Multi-Agent Reinforcement Learning. CoRR Xiao Ma, Wu-Jun Li
2020	J	`jnl`	BASGD: Buffered Asynchronous SGD for Byzantine Learning. CoRR Yi-Rui Yang, Wu-Jun Li
2020	—	`conf`	DMNet: Difference Minimization Network for Semi-supervised Segmentation in Medical Images. MICCAI (1) Kang Fang, Wu-Jun Li
2020	A	`conf`	Densely Connected Time Delay Neural Network for Speaker Verification. INTERSPEECH Ya-Qi Yu, Wu-Jun Li
2020	—	`conf`	ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. ECCV (3) Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie
2020	J	`jnl`	ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. CoRR Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie
2020	A*	`conf`	Hashing Based Answer Selection. AAAI Dong Xu, Wu-Jun Li
2020	J	`jnl`	Multiple Code Hashing for Efficient Image Retrieval. CoRR Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li
2020	J	`jnl`	Stagewise Enlargement of Batch Size for SGD-based Learning. CoRR Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
2020	J	`jnl`	Stochastic Normalized Gradient Descent with Momentum for Large Batch Training. CoRR Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
2020	J	`jnl`	TOMA: Topological Map Abstraction for Reinforcement Learning. CoRR Zhao-Heng Yin, Wu-Jun Li
2019	J	`jnl`	ADASS: Adaptive Sample Selection for Training Acceleration. CoRR Shen-Yi Zhao, Hao Gao, Wu-Jun Li
2019	J	`jnl`	Clustered Reinforcement Learning. CoRR Xiao Ma, Shen-Yi Zhao, Wu-Jun Li
2019	A	`conf`	Deep Hashing for Speaker Identification and Retrieval. INTERSPEECH Lei Fan, Qing-Yuan Jiang, Ya-Qi Yu, Wu-Jun Li
2019	J	`jnl`	Deep Multi-Index Hashing for Person Re-Identification. CoRR Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li
2019	J	`jnl`	Discrete Latent Factor Model for Cross-Modal Hashing. IEEE Trans. Image Process. Qing-Yuan Jiang, Wu-Jun Li
2019	Misc	`conf`	Ensemble Additive Margin Softmax for Speaker Verification. ICASSP Ya-Qi Yu, Lei Fan, Wu-Jun Li
2019	J	`jnl`	Gated Group Self-Attention for Answer Selection. CoRR Dong Xu, Jianhui Ji, Haikuan Huang, Hongbo Deng, Wu-Jun Li
2019	J	`jnl`	Global Momentum Compression for Sparse Communication in Distributed SGD. CoRR Shen-Yi Zhao, Yin-Peng Xie, Hao Gao, Wu-Jun Li
2019	J	`jnl`	Hashing based Answer Selection. CoRR Dong Xu, Wu-Jun Li
2019	J	`jnl`	On the Convergence of Memory-Based Distributed SGD. CoRR Shen-Yi Zhao, Hao Gao, Wu-Jun Li
2019	J	`jnl`	On the Evaluation Metric for Hashing. CoRR Qing-Yuan Jiang, Ming-Wei Li, Wu-Jun Li
2019	J	`jnl`	Quantized Epoch-SGD for Communication-Efficient Distributed Learning. CoRR Shen-Yi Zhao, Hao Gao, Wu-Jun Li
2019	J	`jnl`	Robust Frequent Directions with Application in Online Learning. J. Mach. Learn. Res. Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang
2019	A*	`conf`	SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval. ICCV Qing-Yuan Jiang, Yi He, Gen Li, Jian Lin, Lei Li, Wu-Jun Li
2019	J	`jnl`	Weight Normalization based Quantization for Deep Neural Network Compression. CoRR Wen-Pu Cai, Wu-Jun Li
2018	A*	`conf`	Asymmetric Deep Supervised Hashing. AAAI Qing-Yuan Jiang, Wu-Jun Li
2018	J	`jnl`	Convolutional Geometric Matrix Completion. CoRR Kai-Lang Yao, Wu-Jun Li
2018	J	`jnl`	Deep Discrete Supervised Hashing. IEEE Trans. Image Process. Qing-Yuan Jiang, Xue Cui, Wu-Jun Li
2018	J	`jnl`	Feature-Distributed SVRG for High-Dimensional Linear Classification. CoRR Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao, Wu-Jun Li
2018	A*	`conf`	Proximal SCOPE for Distributed Sparse Learning. NeurIPS Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li
2018	J	`jnl`	Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate. CoRR Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li
2017	J	`jnl`	Asymmetric Deep Supervised Hashing. CoRR Qing-Yuan Jiang, Wu-Jun Li
2017	A*	`conf`	Deep Cross-Modal Hashing. CVPR Qing-Yuan Jiang, Wu-Jun Li
2017	J	`jnl`	Deep Discrete Supervised Hashing. CoRR Qing-Yuan Jiang, Xue Cui, Wu-Jun Li
2017	J	`jnl`	Discrete Latent Factor Model for Cross-Modal Hashing. CoRR Qing-Yuan Jiang, Wu-Jun Li
2017	A*	`conf`	Lock-Free Optimization for Non-Convex Problems. AAAI Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li
2017	J	`jnl`	Online Learning Via Regularized Frequent Directions. CoRR Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li
2017	J	`jnl`	ParaGraphE: A Library for Parallel Knowledge Graph Embedding. CoRR Xiao-Fan Niu, Wu-Jun Li
2017	A*	`conf`	SCOPE: Scalable Composite Optimization for Learning on Spark. AAAI Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li
2017	A*	`conf`	Semi-Supervised Deep Hashing with a Bipartite Graph. IJCAI Xinyu Yan, Lijun Zhang, Wu-Jun Li
2016	A*	`conf`	Column Sampling Based Discrete Supervised Hashing. AAAI Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
2016	J	`jnl`	Deep Cross-Modal Hashing. CoRR Qing-Yuan Jiang, Wu-Jun Li
2016	A*	`conf`	Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee. AAAI Shen-Yi Zhao, Wu-Jun Li
2016	A*	`conf`	Feature Learning Based Deep Supervised Hashing with Pairwise Labels. IJCAI Wu-Jun Li, Sheng Wang, Wang-Cheng Kang
2016	J	`jnl`	Full-Time Supervision based Bidirectional RNN for Factoid Question Answering. CoRR Dong Xu, Wu-Jun Li
2016	J	`jnl`	Lock-Free Optimization for Non-Convex Problems. CoRR Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li
2016	J	`jnl`	SCOPE: Scalable Composite Optimization for Learning on Spark. CoRR Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li
2016	J	`jnl`	Variance-Reduced Second-Order Methods. CoRR Luo Luo, Zihao Chen, Zhihua Zhang, Wu-Jun Li
2015	J	`jnl`	A New Relaxation Approach to Normalized Hypergraph Cut. CoRR Cong Xie, Wu-Jun Li, Zhihua Zhang
2015	J	`jnl`	A Parallel algorithm for $\mathcal{X}$-Armed bandits. CoRR Cheng Chen, Shuang Liu, Zhihua Zhang, Wu-Jun Li
2015	J	`jnl`	Fast Asynchronous Parallel Stochastic Gradient Decent. CoRR Shen-Yi Zhao, Wu-Jun Li
2015	J	`jnl`	Feature Learning based Deep Supervised Hashing with Pairwise Labels. CoRR Wu-Jun Li, Sheng Wang, Wang-Cheng Kang
2015	J	`jnl`	On the Global Convergence of Majorization Minimization Algorithms for Nonconvex Optimization Problems. CoRR Yangyang Kang, Zhihua Zhang, Wu-Jun Li
2015	J	`jnl`	Relational Collaborative Topic Regression for Recommender Systems. IEEE Trans. Knowl. Data Eng. Hao Wang, Wu-Jun Li
2015	J	`jnl`	S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-Cut. CoRR Cong Xie, Wu-Jun Li, Zhihua Zhang
2015	A*	`conf`	Scalable Graph Hashing with Feature Transformation. IJCAI Qing-Yuan Jiang, Wu-Jun Li
2015	J	`jnl`	Scalable Stochastic Alternating Direction Method of Multipliers. CoRR Shen-Yi Zhao, Wu-Jun Li, Zhi-Hua Zhou
2015	A*	`conf`	Support Matrix Machines. ICML Luo Luo, Yubo Xie, Zhihua Zhang, Wu-Jun Li
2014	A*	`conf`	Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising. ICML Ling Yan, Wu-Jun Li, Gui-Rong Xue, Dingyi Han
2014	—	`conf`	Distributed Power-law Graph Computing: Theoretical and Empirical Analysis. NIPS Cong Xie, Ling Yan, Wu-Jun Li, Zhihua Zhang
2014	A	`conf`	Distributed Stochastic ADMM for Matrix Factorization. CIKM Zhi-Qin Yu, Xing-Jian Shi, Ling Yan, Wu-Jun Li
2014	A*	`conf`	Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization. AAAI Dongqing Zhang, Wu-Jun Li
2014	J	`jnl`	Multicategory large margin classification methods: Hinge losses vs. coherence functions. Artif. Intell. Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung
2014	A*	`conf`	Supervised hashing with latent factor models. SIGIR Peichao Zhang, Wei Zhang, Wu-Jun Li, Minyi Guo
2013	A*	`conf`	Collaborative Topic Regression with Social Regularization for Tag Recommendation. IJCAI Hao Wang, Binyi Chen, Wu-Jun Li
2013	A*	`conf`	Online Egocentric Models for Citation Networks. IJCAI Hao Wang, Wu-Jun Li
2013	—	`conf`	Robust crowdsourced learning. IEEE BigData Zhiquan Liu, Luo Luo, Wu-Jun Li
2012	A*	`conf`	Double-Bit Quantization for Hashing. AAAI Weihao Kong, Wu-Jun Li
2012	A*	`conf`	Emoticon Smoothed Language Models for Twitter Sentiment Analysis. AAAI Kun-Lin Liu, Wu-Jun Li, Minyi Guo
2012	—	`conf`	Isotropic Hashing. NIPS Weihao Kong, Wu-Jun Li
2012	A*	`conf`	Manhattan hashing for large-scale image retrieval. SIGIR Weihao Kong, Wu-Jun Li, Minyi Guo
2012	A*	`conf`	Sparse Probabilistic Relational Projection. AAAI Wu-Jun Li, Dit-Yan Yeung
2011	A*	`conf`	Generalized Latent Factor Models for Social Network Analysis. IJCAI Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang
2011	A*	`conf`	Social Relations Model for Collaborative Filtering. AAAI Wu-Jun Li, Dit-Yan Yeung
2010	A*	`conf`	Gaussian Process Latent Random Field. AAAI Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu
2010	J	`jnl`	MILD: Multiple-Instance Learning via Disambiguation. IEEE Trans. Knowl. Data Eng. Wu-Jun Li, Dit-Yan Yeung
2009	A	`conf`	Coherence Functions for Multicategory Margin-based Classification Methods. AISTATS Zhihua Zhang, Michael I. Jordan, Wu-Jun Li, Dit-Yan Yeung
2009	A	`conf`	Latent Wishart Processes for Relational Kernel Learning. AISTATS Wu-Jun Li, Zhihua Zhang, Dit-Yan Yeung
2009	A*	`conf`	Localized content-based image retrieval through evidence region identification. CVPR Wu-Jun Li, Dit-Yan Yeung
2009	—	`conf`	Probabilistic Relational PCA. NIPS Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang
2009	A*	`conf`	Relation Regularized Matrix Factorization. IJCAI Wu-Jun Li, Dit-Yan Yeung
2009	A	`conf`	TagiCoFi: tag informed collaborative filtering. RecSys Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
2006	—	`conf`	Joint Boosting Feature Selection for Robust Face Recognition. CVPR (2) Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang
2005	—	`conf`	A Multiple Eigenspaces Constructing Method and Its Application to Face Recognition. ICNC (2) Wu-Jun Li, Bin Luo, Chong-Jun Wang, Xiang-Ping Zhong, Zhaoqian Chen
2005	—	`conf`	A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces. ISNN (2) Wu-Jun Li, Chong-Jun Wang, Dianxiang Xu, Bin Luo, Zhaoqian Chen
2005	B	`conf`	Image Segmentation Using Spectral Clustering. ICTAI Chong-Jun Wang, Wu-Jun Li, Lin Ding, Juan Tian, Shifu Chen
2004	B	`conf`	Illumination Invariant Face Recognition Based on Neural Network Ensemble. ICTAI Wu-Jun Li, Chong-Jun Wang, Dianxiang Xu, Shifu Chen
2004	B	`conf`	Image Texture Representation and Retrieval Based on Power Spectral Histograms. ICTAI Chong-Jun Wang, Yu-Bin Yang, Wu-Jun Li, Shifu Chen