Illumination Invariant Face Recognition Based on Neural Network Ensemble. - Wu-Jun Li; Chong-Jun Wang; Dianxiang Xu; Shifu Chen (ICTAI, 2004)

Image Texture Representation and Retrieval Based on Power Spectral Histograms. - Chong-Jun Wang; Yu-Bin Yang; Wu-Jun Li; Shifu Chen (ICTAI, 2004)

A Multiple Eigenspaces Constructing Method and Its Application to Face Recognition. - Wu-Jun Li; Bin Luo 003; Chong-Jun Wang; Xiang-Ping Zhong; Zhaoqian Chen (ICNC (2), 2005)

Image Segmentation Using Spectral Clustering. - Chong-Jun Wang; Wu-Jun Li; Lin Ding; Juan Tian; Shifu Chen (ICTAI, 2005)

A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces. - Wu-Jun Li; Chong-Jun Wang; Dianxiang Xu; Bin Luo 003; Zhaoqian Chen (ISNN (2), 2005)

Joint Boosting Feature Selection for Robust Face Recognition. - Rong Xiao 003; Wu-Jun Li; Yuandong Tian; Xiaoou Tang (CVPR (2), 2006)

Localized content-based image retrieval through evidence region identification. - Wu-Jun Li; Dit-Yan Yeung (CVPR, 2009)

Relation Regularized Matrix Factorization. - Wu-Jun Li; Dit-Yan Yeung (IJCAI, 2009)

Probabilistic Relational PCA. - Wu-Jun Li; Dit-Yan Yeung; Zhihua Zhang 004 (NIPS, 2009)

TagiCoFi: tag informed collaborative filtering. - Yi Zhen; Wu-Jun Li; Dit-Yan Yeung (RecSys, 2009)

Latent Wishart Processes for Relational Kernel Learning. - Wu-Jun Li; Zhihua Zhang 004; Dit-Yan Yeung (AISTATS, 2009)

Coherence Functions for Multicategory Margin-based Classification Methods. - Zhihua Zhang 004; Michael I. Jordan; Wu-Jun Li; Dit-Yan Yeung (AISTATS, 2009)

Gaussian Process Latent Random Field. - Guoqiang Zhong 001; Wu-Jun Li; Dit-Yan Yeung; Xinwen Hou; Cheng-Lin Liu 001 (AAAI, 2010)

MILD: Multiple-Instance Learning via Disambiguation. - Wu-Jun Li; Dit-Yan Yeung (IEEE Trans. Knowl. Data Eng., 2010)

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

Generalized Latent Factor Models for Social Network Analysis. - Wu-Jun Li; Dit-Yan Yeung; Zhihua Zhang 004 (IJCAI, 2011)

Double-Bit Quantization for Hashing. - Weihao Kong; Wu-Jun Li (AAAI, 2012)

Sparse Probabilistic Relational Projection. - Wu-Jun Li; Dit-Yan Yeung (AAAI, 2012)

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

Isotropic Hashing. - Weihao Kong; Wu-Jun Li (NIPS, 2012)

Manhattan hashing for large-scale image retrieval. - Weihao Kong; Wu-Jun Li; Minyi Guo (SIGIR, 2012)

Robust crowdsourced learning. - Zhiquan Liu; Luo Luo; Wu-Jun Li (IEEE BigData, 2013)

Collaborative Topic Regression with Social Regularization for Tag Recommendation. - Hao Wang 014; Binyi Chen; Wu-Jun Li (IJCAI, 2013)

Online Egocentric Models for Citation Networks. - Hao Wang 014; Wu-Jun Li (IJCAI, 2013)

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

Distributed Stochastic ADMM for Matrix Factorization. - Zhi-Qin Yu; Xing-Jian Shi; Ling Yan; Wu-Jun Li (CIKM, 2014)

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

Distributed Power-law Graph Computing: Theoretical and Empirical Analysis. - Cong Xie; Ling Yan; Wu-Jun Li; Zhihua Zhang 008 (NIPS, 2014)

Supervised hashing with latent factor models. - Peichao Zhang; Wei Zhang 058; Wu-Jun Li; Minyi Guo (SIGIR, 2014)

Multicategory large margin classification methods: Hinge losses vs. coherence functions. - Zhihua Zhang 004; Cheng Chen 015; Guang Dai; Wu-Jun Li; Dit-Yan Yeung (Artif. Intell., 2014)

Support Matrix Machines. - Luo Luo; Yubo Xie; Zhihua Zhang 004; Wu-Jun Li (ICML, 2015)

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

A Parallel algorithm for $ mathcal{X}$-Armed bandits. - Cheng Chen 015; Shuang Liu; Zhihua Zhang 004; Wu-Jun Li (CoRR, 2015)

On the Global Convergence of Majorization Minimization Algorithms for Nonconvex Optimization Problems. - Yangyang Kang; Zhihua Zhang; Wu-Jun Li (CoRR, 2015)

S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-Cut. - Cong Xie; Wu-Jun Li; Zhihua Zhang 008 (CoRR, 2015)

A New Relaxation Approach to Normalized Hypergraph Cut. - Cong Xie; Wu-Jun Li; Zhihua Zhang 008 (CoRR, 2015)

Fast Asynchronous Parallel Stochastic Gradient Decent. - Shen-Yi Zhao; Wu-Jun Li (CoRR, 2015)

Scalable Stochastic Alternating Direction Method of Multipliers. - Shen-Yi Zhao; Wu-Jun Li; Zhi-Hua Zhou (CoRR, 2015)

Relational Collaborative Topic Regression for Recommender Systems. - Hao Wang 014; Wu-Jun Li (IEEE Trans. Knowl. Data Eng., 2015)

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 (AAAI, 2016)

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

Variance-Reduced Second-Order Methods. - Luo Luo; Zihao Chen; Zhihua Zhang 004; Wu-Jun Li (CoRR, 2016)

Full-Time Supervision based Bidirectional RNN for Factoid Question Answering. - Dong Xu; Wu-Jun Li (CoRR, 2016)

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

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

Deep Cross-Modal Hashing. - Qing-Yuan Jiang; Wu-Jun Li (CVPR, 2017)

Semi-Supervised Deep Hashing with a Bipartite Graph. - Xinyu Yan; Lijun Zhang 005; Wu-Jun Li (IJCAI, 2017)

Online Learning Via Regularized Frequent Directions. - Luo Luo; Cheng Chen 015; Zhihua Zhang 004; Wu-Jun Li (CoRR, 2017)

ParaGraphE: A Library for Parallel Knowledge Graph Embedding. - Xiao-Fan Niu; Wu-Jun Li (CoRR, 2017)

Asymmetric Deep Supervised Hashing. - Qing-Yuan Jiang; Wu-Jun Li (AAAI, 2018)

Proximal SCOPE for Distributed Sparse Learning. - Shen-Yi Zhao; Gong-Duo Zhang; Ming-Wei Li; Wu-Jun Li (NeurIPS, 2018)

Feature-Distributed SVRG for High-Dimensional Linear Classification. - Gong-Duo Zhang; Shen-Yi Zhao; Hao Gao; Wu-Jun Li (CoRR, 2018)

Convolutional Geometric Matrix Completion. - Kai-Lang Yao; Wu-Jun Li (CoRR, 2018)

Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate. - Shen-Yi Zhao; Gong-Duo Zhang; Ming-Wei Li; Wu-Jun Li (CoRR, 2018)

Deep Discrete Supervised Hashing. - Qing-Yuan Jiang; Xue Cui; Wu-Jun Li (IEEE Trans. Image Process., 2018)

Ensemble Additive Margin Softmax for Speaker Verification. - Ya-Qi Yu; Lei Fan; Wu-Jun Li (ICASSP, 2019)

SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval. - Qing-Yuan Jiang; Yi He; Gen Li; Jian Lin; Lei Li 005; Wu-Jun Li (ICCV, 2019)

Deep Hashing for Speaker Identification and Retrieval. - Lei Fan; Qing-Yuan Jiang; Ya-Qi Yu; Wu-Jun Li (INTERSPEECH, 2019)

Quantized Epoch-SGD for Communication-Efficient Distributed Learning. - Shen-Yi Zhao; Hao Gao; Wu-Jun Li (CoRR, 2019)

Gated Group Self-Attention for Answer Selection. - Dong Xu; Jianhui Ji; Haikuan Huang; Hongbo Deng; Wu-Jun Li (CoRR, 2019)

On the Evaluation Metric for Hashing. - Qing-Yuan Jiang; Ming-Wei Li; Wu-Jun Li (CoRR, 2019)

Deep Multi-Index Hashing for Person Re-Identification. - Ming-Wei Li; Qing-Yuan Jiang; Wu-Jun Li (CoRR, 2019)

Global Momentum Compression for Sparse Communication in Distributed SGD. - Shen-Yi Zhao; Yin-Peng Xie; Hao Gao; Wu-Jun Li (CoRR, 2019)

On the Convergence of Memory-Based Distributed SGD. - Shen-Yi Zhao; Hao Gao; Wu-Jun Li (CoRR, 2019)

Clustered Reinforcement Learning. - Xiao Ma; Shen-Yi Zhao; Wu-Jun Li (CoRR, 2019)

ADASS: Adaptive Sample Selection for Training Acceleration. - Shen-Yi Zhao; Hao Gao; Wu-Jun Li (CoRR, 2019)

Weight Normalization based Quantization for Deep Neural Network Compression. - Wen-Pu Cai; Wu-Jun Li (CoRR, 2019)

Robust Frequent Directions with Application in Online Learning. - Luo Luo; Cheng Chen 015; Zhihua Zhang 004; Wu-Jun Li; Tong Zhang 001 (J. Mach. Learn. Res., 2019)

Discrete Latent Factor Model for Cross-Modal Hashing. - Qing-Yuan Jiang; Wu-Jun Li (IEEE Trans. Image Process., 2019)

Hashing Based Answer Selection. - Dong Xu; Wu-Jun Li (AAAI, 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 (ECCV (3), 2020)

Densely Connected Time Delay Neural Network for Speaker Verification. - Ya-Qi Yu; Wu-Jun Li (INTERSPEECH, 2020)

DMNet: Difference Minimization Network for Semi-supervised Segmentation in Medical Images. - Kang Fang; Wu-Jun Li (MICCAI (1), 2020)

Stagewise Enlargement of Batch Size for SGD-based Learning. - Shen-Yi Zhao; Yin-Peng Xie; Wu-Jun Li (CoRR, 2020)

TOMA: Topological Map Abstraction for Reinforcement Learning. - Zhao-Heng Yin; Wu-Jun Li (CoRR, 2020)

Stochastic Normalized Gradient Descent with Momentum for Large Batch Training. - Shen-Yi Zhao; Yin-Peng Xie; Wu-Jun Li (CoRR, 2020)

Multiple Code Hashing for Efficient Image Retrieval. - Ming-Wei Li; Qing-Yuan Jiang; Wu-Jun Li (CoRR, 2020)

Cam: Context-Aware Masking for Robust Speaker Verification. - Ya-Qi Yu; Siqi Zheng; Hongbin Suo; Yun Lei; Wu-Jun Li (ICASSP, 2021)

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

Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks. - Kai-Lang Yao; Wu-Jun Li (IJCAI, 2021)

On the convergence and improvement of stochastic normalized gradient descent. - Shen-Yi Zhao; Yin-Peng Xie; Wu-Jun Li (Sci. China Inf. Sci., 2021)

Hardware Computation Graph for DNN Accelerator Design Automation without Inter-PU Templates. - Jun Li; Wei Wang 002; Wu-Jun Li (ICCAD, 2022)

Cross Domain Robot Imitation with Invariant Representation. - Zhao-Heng Yin; Lingfeng Sun; Hengbo Ma; Masayoshi Tomizuka; Wu-Jun Li (ICRA, 2022)

Speaker-Specific Utterance Ensemble based Transfer Attack on Speaker Identification. - Chu-Xiao Zuo; Jia-Yi Leng; Wu-Jun Li (INTERSPEECH, 2022)

VSM: A Versatile Semi-supervised Model for Multi-modal Cell Instance Segmentation. - Xiaochen Cai; Hengxing Cai; Kele Xu; Wei-Wei Tu; Wu-Jun Li (Cell Segmentation Challenge @ NeurIPS, 2022)

Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning. - Yan-Shuo Liang; Wu-Jun Li (CoRR, 2022)

Grey-box Adversarial Attack on Communication in Multi-agent Reinforcement Learning. - Xiao Ma; Wu-Jun Li (AAMAS, 2023)

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

Context Sketching for Memory-efficient Graph Representation Learning. - Kai-Lang Yao; Wu-Jun Li (ICDM, 2023)

Fooling Speaker Identification Systems with Adversarial Background Music. - Chu-Xiao Zuo; Jia-Yi Leng; Wu-Jun Li (INTERSPEECH, 2023)

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

FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning. - Yi-Rui Yang; Kun Wang; Wu-Jun Li (CoRR, 2023)

GNNFormer: A Graph-based Framework for Cytopathology Report Generation. - Yang-Fan Zhou; Kai-Lang Yao; Wu-Jun Li (CoRR, 2023)

On the Optimal Batch Size for Byzantine-Robust Distributed Learning. - Yi-Rui Yang; Chang-Wei Shi; Wu-Jun Li (CoRR, 2023)

UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming. - Hao Lin; Ke Wu; Jun Li; Wu-Jun Li (CoRR, 2023)

Buffered Asynchronous SGD for Byzantine Learning. - Yi-Rui Yang; Wu-Jun Li (J. Mach. Learn. Res., 2023)

State-based episodic memory for multi-agent reinforcement learning. - Xiao Ma; Wu-Jun Li (Mach. Learn., 2023)

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

AdvTTS: Adversarial Text-to-Speech Synthesis Attack on Speaker Identification Systems. - Chu-Xiao Zuo; Zhi-Jun Jia; Wu-Jun Li (ICASSP, 2024)

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

Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning. - Xiao Ma; Wu-Jun Li (ICRA, 2024)

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

Re-quantization based binary graph neural networks. - Kai-Lang Yao; Wu-Jun Li (Sci. China Inf. Sci., 2024)

Stochastic normalized gradient descent with momentum for large-batch training. - Shen-Yi Zhao; Chang-Wei Shi; Yin-Peng Xie; Wu-Jun Li (Sci. China Inf. Sci., 2024)

SUETA: Speaker-specific utterance ensemble based transfer attack on speaker identification system. - Chu-Xiao Zuo; Jia-Yi Leng; Wu-Jun Li (Comput. Secur., 2024)

NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance. - Huan-Yi Su; Ke Wu; Yu-Hao Huang 002; Wu-Jun Li (CoRR, 2024)

LCQ: Low-Rank Codebook based Quantization for Large Language Models. - Wen-Pu Cai; Wu-Jun Li (CoRR, 2024)

Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning. - Kun Wang; Yi-Rui Yang; Wu-Jun Li (CoRR, 2024)

Hashing based Contrastive Learning for Virtual Screening. - Jin Han 003; Yun Hong; Wu-Jun Li (CoRR, 2024)

Controllable Financial Market Generation with Diffusion Guided Meta Agent. - Yu-Hao Huang 002; Chang Xu 008; Yang Liu 278; Weiqing Liu; Wu-Jun Li; Jiang Bian 002 (CoRR, 2024)

Hashing for Protein Structure Similarity Search. - Jin Han; Wu-Jun Li (CoRR, 2024)

Asymmetric Learning for Graph Neural Network based Link Prediction. - Kai-Lang Yao; Wu-Jun Li (ACM Trans. Knowl. Discov. Data, 2024)

DrugHash: Hashing Based Contrastive Learning for Virtual Screening. - Jin Han 003; Yun Hong; Wu-Jun Li (AAAI, 2025)

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts. - Yu-Hao Huang 002; Chang Xu 008; Yueying Wu 004; Wu-Jun Li; Jiang Bian 002 (AAAI, 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, 2025)

Grey-Box Adversarial Attack on Communication in Communicative Multi-Agent Reinforcement Learning. - Xiao Ma; Wu-Jun Li (IEEE Trans. Inf. Forensics Secur., 2025)

PIPO: Pipelined Offloading for Efficient Inference on Consumer Devices. - Yangyijian Liu; Jun Li; Wu-Jun Li (CoRR, 2025)

Clustered Reinforcement Learning. - Xiao Ma; Shen-Yi Zhao; Zhao-Heng Yin; Wu-Jun Li (Frontiers Comput. Sci., 2025)

PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking. - Yize Jiang; Xinze Li; Yuanyuan Zhang; Jin Han; Youjun Xu; Ayush Pandit; Zaixi Zhang; Mengdi Wang; Mengyang Wang; Chong Liu; Guang Yang; Yejin Choi 001; et al. (CoRR, 2025)

Gated Integration of Low-Rank Adaptation for Continual Learning of Language Models. - Yan-Shuo Liang; Wu-Jun Li (CoRR, 2025)