Technical Report:
- PIPO: Pipelined Offloading for Efficient Inference on Consumer Devices
Yangyijian Liu*, Jun Li*, Wu-Jun Li.
[arXiv version]
- LCQ: Low-Rank Codebook based Quantization for Large Language Models
Wen-Pu Cai*, Ming-Yang Li*, Wu-Jun Li.
[arXiv version]
- Hashing for Protein Structure Similarity Search.
Jin Han*, Wu-Jun Li.
[arXiv version]
- NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance
Huan-Yi Su*, Ke Wu*, Yu-Hao Huang*, Wu-Jun Li.
[arXiv version]
- Global Momentum Compression for Sparse Communication in Distributed SGD.
Chang-Wei Shi*, Shen-Yi Zhao*, Yin-Peng Xie*, Hao Gao*, Wu-Jun Li.
[arXiv version]
- Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning.
Kun Wang*, Yi-Rui Yang*, Wu-Jun Li.
[arXiv version]
- FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning.
Yi-Rui Yang*, Kun Wang*, Wu-Jun Li.
[arXiv version]
- ADASS: Adaptive Sample Selection for Training Acceleration.
Shen-Yi Zhao*, Hao Gao*, Wu-Jun Li.
[arXiv version]
- GNNFormer: A Graph-based Framework for Cytopathology Report Generation.
Yang-Fan Zhou*, Kai-Lang Yao*, Wu-Jun Li.
[arXiv version]
- TOMA: Topological Map Abstraction for Reinforcement Learning.
Zhao-Heng Yin*, Wu-Jun Li.
[arXiv version]
- On the Evaluation Metric for Hashing.
Qing-Yuan Jiang*, Ming-Wei Li*, Wu-Jun Li.
[arXiv version]
Published Papers:
 PoseX: AI Defeats Physics-based Methods 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, Yingzhou Lu, Wu-Jun Li#, Tianfan Fu#, Fang Wu#, Junhong Liu#.
International Conference on Learning Representations (ICLR), 2026. [# denotes co-corresponding author]
[pdf]
- Ordered Local Momentum for Asynchronous Distributed Learning under Arbitrary Delays.
Chang-Wei Shi*, Shi-Shang Wang*, Wu-Jun Li.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026.
[pdf]
- Controllable Financial Market Generation with Diffusion Guided Meta Agent.
Yu-Hao Huang*, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026.
[pdf]
- Fully automated Res3DNet model to predict IDH mutation status of Gliomas from whole-brain MRI free of tumor segmentation.
Zhengyang Zhu, Yuying Liu*, Yang Song, Jianan Zhou, Sixuan Chen, Meiping Ye, Zhiqiang Zhang, Jiaming Lu, Xin Li, Xinru Xu, Cong Long, Linqing Fu, Yajing Zhu, Xu Yang, Weiping Li, Yijun Bai, Shunshun Du, Huiquan Yang#, Xin Zhang#, Wu-Jun Li#, Bing Zhang#.
iScience, 2026 [# denotes co-corresponding author]
[pdf]
- Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models.
Yan-Shuo Liang*, Jia-Rui Chen*, Wu-Jun Li.
Advances in Neural Information Processing Systems (NeurIPS), 2025.
[arXiv version]
- Discriminate Weight Approximation for Efficient DSP Packing in LLM Accelerators.
Jun Li*, Yangyijian Liu*, Chang-Wei Shi*, Mingyang Li*, Wu-Jun Li.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2025.
[pdf]
- On the Tension between Byzantine Robustness and No-Attack Accuracy in Distributed Learning.
Yi-Rui Yang*, Chang-Wei Shi*, Wu-Jun Li.
Proceedings of the International Conference on Machine Learning (ICML), 2025.
[pdf]
- UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming.
Hao Lin*, Ke Wu*, Jie Li*, Jun Li*, Wu-Jun Li.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
[arXiv version]
- DrugHash: Hashing based Contrastive Learning for Virtual Screening.
Jin Han*, Yun Hong*, Wu-Jun Li.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.
[pdf]
- TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts.
Yu-Hao Huang*, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.
[pdf]
- Clustered Reinforcement Learning.
Xiao Ma*, Shen-Yi Zhao*, Zhao-Heng Yin*, Wu-Jun Li.
Frontiers of Computer Science (FCS), 2025.
[pdf]
- Grey-box Adversarial Attack on Communication in Communicative Multi-agent Reinforcement Learning.
Xiao Ma*, Wu-Jun Li.
IEEE Transactions on Information Forensics & Security (TIFS), 2025.
[pdf]
- Hardware Computation Graph for DNN Accelerator Design Automation without Inter-PU Templates.
Jun Li*, Wei Wang, Wu-Jun Li.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
[pdf]
- An Artificial Intelligence System for Qualified Mucosal Observation Time During Colonoscopic Withdrawal.
Wu-Jun Li#, Peng Yan, MuhanNi, 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#.
npj Digital Medicine, 2025 [# denotes co-corresponding author]
[pdf]
- Deep Learning based Prediction of Individualized Real-time FSH Doses in GnRH Agonist Long Protocols.
Na Kong, Yu Xia*, Zhilong Wang, Hui Zhang, Liyan Duan, Yingchun Zhu, Chenyang Huang, Guijun Yan, Jie Mei#, Wu-Jun Li#, Haixiang Sun#.
Journal of Translational Medicine, 2025 [# denotes co-corresponding author]
[pdf]
- Ordered Momentum for Asynchronous SGD.
Chang-Wei Shi*, Yi-Rui Yang*, Wu-Jun Li.
Advances in Neural Information Processing Systems (NeurIPS), 2024.
[pdf]
- Stochastic Normalized Gradient Descent with Momentum for Large-Batch Training.
Shen-Yi Zhao*, Chang-Wei Shi*, Yin-Peng Xie*, Wu-Jun Li.
SCIENCE CHINA Information Sciences (SCIS), 2024.
[pdf]
- On the Effect of Batch Size in Byzantine-Robust Distributed Learning.
Yi-Rui Yang*, Chang-Wei Shi*, Wu-Jun Li.
The Twelfth International Conference on Learning Representations (ICLR), 2024.
[pdf]
- InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning.
Yan-Shuo Liang*, Wu-Jun Li.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[pdf][code]
- Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning.
Xiao Ma*, Wu-Jun Li.
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2024.
[pdf]
- Re-quantization based Binary Graph Networks.
Kai-Lang Yao*, Wu-Jun Li.
SCIENCE CHINA Information Sciences (SCIS), 2024.
[pdf]
- Asymmetric Learning for Graph Neural Network based Link Prediction.
Kai-Lang Yao*, Wu-Jun Li.
ACM Transactions on Knowledge Discovery from Data (TKDD), 2024.
[pdf]
- AdvTTS: Adversarial Text-to-Speech Synthesis Attack on Speaker Identification Systems.
Chu-Xiao Zuo*, Zhi-Jun Jia*, Wu-Jun Li.
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024.
[pdf]
- SUETA: Speaker-specific Utterance Ensemble based Transfer Attack on Speaker Identification System.
Chu-Xiao Zuo*, Jia-Yi Leng*, Wu-Jun Li.
Computers & Security, 2024.
[pdf]
- Conditional generative adversarial network-assisted system
for radiation-free evaluation of scoliosis using a single smartphone photograph: a model development and validation
study.
Zhong He, Neng Lu*, Yi Chen, Elvis Chun-Sing Chui, Zhen Liu, Xiaodong Qin, Jie Li, Shengru Wang, Junlin Yang, Zhiwei Wang, Yimu Wang,
Yong Qiu, Wayne Yuk-Wai Lee, Jack Chun-Yiu Cheng, Kenneth Guangpu Yang, Adam Yiu-Chung Lau, Xiaoli Liu, Xipu Chen, Wu-Jun Li#, and Zezhang Zhu#.
eClinicalMedicine (Part of The Lancet Discovery Science), 2024. [# denotes co-corresponding author]
[pdf]
- Loss Decoupling for Task-Agnostic Continual Learning.
Yan-Shuo Liang*, Wu-Jun Li.
Advances in Neural Information Processing Systems (NeurIPS), 2023.
[pdf]
- Adaptive Plasticity Improvement for Continual Learning.
Yan-Shuo Liang*, Wu-Jun Li.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[pdf][code]
- Buffered Asynchronous SGD for Byzantine Learning.
Yi-Rui Yang*, Wu-Jun Li.
Journal of Machine Learning Research (JMLR), 2023.
[pdf]
- State-based Episodic Memory for Multi-Agent Reinforcement Learning.
Xiao Ma*, Wu-Jun Li.
Machine Learning (MLJ), 2023.
[pdf]
- Context Sketching for Memory-efficient Graph Representation Learning.
Kai-Lang Yao*, Wu-Jun Li.
Proceedings of the International Conference on Data Mining (ICDM), 2023.
[pdf]
- Fooling Speaker Identification Systems with Adversarial Background Music.
Chu-Xiao Zuo*, Jia-Yi Leng*, Wu-Jun Li.
Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), 2023.
[pdf]
- A real-time interpretable artificial intelligence model for the cholangioscopic diagnosis of malignant biliary stricture.
Xiang Zhang, Dehua Tang, Jindong Zhou*, Muhan Ni, Peng Yan, Zhenyu Zhang, Tao Yu, Qiang Zhan, Yonghua Shen, Lin Zhou, Ruhua Zheng, Xiaoping Zou, Bin Zhang#, Wu-Jun Li#, Lei Wang#.
Gastrointestinal Endoscopy (GIE), 2023. [# denotes co-corresponding author]
[pdf]
- Hardware Computation Graph for DNN Accelerator Design Automation without Inter-PU Templates
Jun Li*, Wei Wang, Wu-Jun Li.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2022.
[pdf]
- Cross Domain Robot Imitation with Invariant Representation.
Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li.
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2022.
[pdf]
- Speaker-Specific Utterance Ensemble based Transfer Attack on Speaker Identification.
Chu-Xiao Zuo*, Jia-Yi Leng*, Wu-Jun Li.
Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), 2022.
[pdf]
- A deep learning-based segmentation system for rapid onsite cytologic pathology evaluation of pancreatic masses: A retrospective, multicenter, diagnostic study.
Song Zhang, Yangfan Zhou*, Dehua Tang, Muhan Ni, Jinyu Zheng, Guifang Xu, Chunyan Peng, Shanshan Shen, Qiang Zhan, Xiaoyun Wang, Duanmin Hu, Wu-Jun Li#, Lei Wang#, Ying Lv#, and Xiaoping Zou#.
eBioMedicine (Part of The Lancet Discovery Science), 2022. [# denotes co-corresponding author]
[pdf]
- BASGD: Buffered Asynchronous SGD for Byzantine Learning.
Yi-Rui Yang*, Wu-Jun Li.
Proceedings of the International Conference on Machine Learning (ICML), 2021.
[pdf][code]
- Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks.
Kai-Lang Yao*, Wu-Jun Li.
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2021.
[pdf][code]
- CAM: Context-Aware Masking for Robust Speaker Verification.
Ya-Qi Yu*, Siqi Zheng, Hongbin Suo, Yun Lei, Wu-Jun Li.
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021.
[pdf]
- On the Convergence and Improvement of Stochastic Normalized Gradient Descent.
Shen-Yi Zhao*, Yin-Peng Xie*, Wu-Jun Li.
SCIENCE CHINA Information Sciences (SCIS), 2021.
[pdf]
- Densely Connected Time Delay Neural Network for Speaker Verification.
Ya-Qi Yu*, Wu-Jun Li.
Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), 2020.
[pdf]
- DMNet: Difference Minimization Network for Semi-supervised Segmentation in Medical Images.
Kang Fang*, Wu-Jun Li.
Proceedings of the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.
[pdf]
- ExchNet: A Unified Hashing Network for Accelerating Fine-Grained Image Retrieval.
Quan Cui, Qing-Yuan Jiang*, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie.
Proceedings of the European Conference on Computer Vision (ECCV), 2020.
[pdf]
- Hashing based Answer Selection.
Dong Xu*, Wu-Jun Li.
Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.
[pdf]
- SVD: A Large-Scale Short Video Dataset for Near Duplicate Video Retrieval.
Qing-Yuan Jiang*, Yi He, Gen Li, Jian Lin*, Lei Li, Wu-Jun Li.
Proceedings of International Conference on Computer Vision (ICCV), 2019.
[pdf] [dataset]
- Deep Hashing for Speaker Identification and Retrieval.
Lei Fan*, Qing-Yuan Jiang*, Ya-Qi Yu*, Wu-Jun Li.
Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), 2019.
[pdf]
- Ensemble Additive Margin Softmax for Speaker Verification.
Ya-Qi Yu*, Lei Fan*, Wu-Jun Li.
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
[pdf]
- Discrete Latent Factor Model for Cross-Modal Hashing.
Qing-Yuan Jiang*, Wu-Jun Li.
IEEE Transactions on Image Processing (TIP), 2019.
[pdf][MATLAB code]
- Robust Frequent Directions with Application in Online Learning.
Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang.
Journal of Machine Learning Research (JMLR), 2019.
[pdf]
- Proximal SCOPE for Distributed Sparse Learning.
Shen-Yi Zhao*, Gong-Duo Zhang*, Ming-Wei Li*, Wu-Jun Li.
Advances in Neural Information Processing Systems (NeurIPS), 2018.
[arXiv Version]
- Deep Discrete Supervised Hashing.
Qing-Yuan Jiang*, Xue Cui*, Wu-Jun Li.
IEEE Transactions on Image Processing (TIP), 27(12): 5996-6009, 2018.
[pdf] [code]
- Asymmetric Deep Supervised Hashing.
Qing-Yuan Jiang*, Wu-Jun Li.
Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.
[pdf] [PyTorch code] [MATLAB code]
- Semi-Supervised Deep Hashing with a Bipartite Graph.
Xinyu Yan, Lijun Zhang, Wu-Jun Li.
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2017.
[pdf]
- Deep Cross-Modal Hashing.
Qing-Yuan Jiang*, Wu-Jun Li.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[pdf] [TensorFlow code] [MATLAB code]
- SCOPE: Scalable Composite Optimization for Learning on Spark.
Shen-Yi Zhao*, Ru Xiang*, Ying-Hao Shi*, Peng Gao*, Wu-Jun Li.
Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 2017.
[pdf]
- Lock-Free Optimization for Non-Convex Problems.
Shen-Yi Zhao*, Gong-Duo Zhang*, Wu-Jun Li.
Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 2017.
[pdf]
- Feature Learning based Deep Supervised Hashing with Pairwise Labels.
Wu-Jun Li, Sheng Wang*, Wang-Cheng Kang*.
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.
[pdf] [code]
- Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee.
Shen-Yi Zhao*, Wu-Jun Li.
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), 2016.
[pdf]
- Column Sampling based Discrete Supervised Hashing.
Wang-Cheng Kang*, Wu-Jun Li, Zhi-Hua Zhou
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), 2016.
[pdf] [code]
- Scalable Graph Hashing with Feature Transformation.
Qing-Yuan Jiang*, Wu-Jun Li.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015.
[pdf] [code]
- Learning to hash for big data: current status and future trends.
Wu-Jun Li, Zhi-Hua Zhou.
Chinese Science Bulletin, 60: 485-490, 2015. (In Chinese, Invited Paper) .
[pdf]
- Relational collaborative topic regression for recommender systems.
Hao Wang*, Wu-Jun Li.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(5): 1343-1355, 2015.
[pdf] [data]
- Support Matrix Machines.
Luo Luo, Yubo Xie, Zhihua Zhang, Wu-Jun Li.
Proceedings of the 32nd International Conference on Machine Learning (ICML), 2015.
[pdf] [code]
- Multicategory large margin classification methods: hinge losses vs. coherence functions.
Zhihua Zhang, Cheng Chen, Guang Dai, Wu-Jun Li, Dit-Yan Yeung.
Artificial Intelligence, 215: 55-78, 2014.
[pdf]
- Distributed Power-law Graph Computing: Theoretical and Empirical Analysis.
Cong Xie*, Ling Yan*, Wu-Jun Li, Zhihua Zhang.
Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014.
[pdf]
[longer version] [code]
- Distributed Stochastic ADMM for Matrix Factorization.
Zhi-Qin Yu*, Xing-Jian Shi*, Ling Yan*, Wu-Jun Li.
Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), 2014.
[pdf]
- Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising.
Ling Yan*, Wu-Jun Li, Gui-Rong Xue, Dingyi Han.
Proceedings of the 31st International Conference on Machine Learning (ICML), 2014.
[pdf]
- Supervised Hashing with Latent Factor Models.
Peichao Zhang*, Wei Zhang*, Wu-Jun Li, Minyi Guo.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2014.
[pdf][MATLAB code]
- Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization.
Dongqing Zhang*, Wu-Jun Li.
Proceedings of theTwenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2014.
[pdf][MATLAB code]
- Online Egocentric models for citation networks.
Hao Wang*, Wu-Jun Li.
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI), 2013.
[pdf]
- Collaborative topic regression with social regularization for tag recommendation.
Hao Wang*, Binyi Chen*, Wu-Jun Li.
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI), 2013.
[pdf] [data]
- Isotropic hashing.
Weihao Kong*, Wu-Jun Li.
Proceedings of the 26th Annual Conference on Neural Information Processing Systems (NIPS), 2012.
[pdf] [MATLAB code]
- Manhattan hashing for large-scale image retrieval.
Weihao Kong*, Wu-Jun Li, Minyi Guo.
Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2012.
[pdf] [MATLAB code]
- Double-bit quantization for hashing.
Weihao Kong*, Wu-Jun Li.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2012.
[pdf] [MATLAB code]
- Emoticon smoothed language models for Twitter sentiment analysis.
Kun-Lin Liu*, Wu-Jun Li, Minyi Guo.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2012.
[pdf]
- Sparse probabilistic relational projection.
Wu-Jun Li, Dit-Yan Yeung.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2012.
[pdf]
- Social relations model for collaborative filtering.
Wu-Jun Li, Dit-Yan Yeung.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2011.
[pdf]
- Generalized latent factor models for social network analysis.
Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang.
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), 2011.
[pdf][MATLAB code][Cora data]
- MILD: Multiple-instance learning via disambiguation.
Wu-Jun Li, Dit-Yan Yeung.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 22 (1): 76-89, 2010.
[pdf] [MATLAB code and data]
- Gaussian process latent random field.
Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2010.
[pdf]
- Probabilistic relational PCA.
Wu-Jun Li, Dit-Yan Yeung, Zhihua Zhang.
Proceedings of the Twenty-Third Annual Conference on Neural Information Processing Systems (NIPS), 2009.
[pdf] [MATLAB code] [longer version]
- Relation regularized matrix factorization.
Wu-Jun Li, Dit-Yan Yeung.
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI), 2009.
[pdf] [slides] [MATLAB code] [data]
- Localized content-based image retrieval through evidence region identification.
Wu-Jun Li, Dit-Yan Yeung.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
[pdf] [MATLAB code] [SIVAL data set] [COREL data set] [longer version]
- TagiCoFi: Tag informed collaborative filtering.
Yi Zhen, Wu-Jun Li, Dit-Yan Yeung.
Proceedings of the Third ACM Conference on Recommender Systems (RecSys), 2009.
[pdf] [code]
- Latent Wishart processes for relational kernel learning.
Wu-Jun Li, Zhihua Zhang, Dit-Yan Yeung.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS),
JMLR: W&CP 5, pp. 336-343, 2009.
[pdf] [slides] [MATLAB code] [data]
- Coherence functions for multicategory margin-based classification methods.
Zhihua Zhang, Michael Jordan, Wu-Jun Li, Dit-Yan Yeung.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS),
JMLR: W&CP 5, pp. 647-654, 2009.
[pdf]
- Joint boosting feature selection for robust face recognition.
Rong Xiao, Wu-Jun Li , Yuandong Tian, Xiaoou Tang.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) (2):1415-1422, 2006.
[pdf]
PhD Thesis:
- Latent Factor Models for Statistical Relational Learning. Department of Computer Science and Engineering, Hong Kong University of Science and Technology. 2010.
[pdf]
Book (in Chinese):
Other Articles:
- Research Skills Training for Undergraduate Students (In Chinese, 浅谈本科生科研能力培养).
Wu-Jun Li.
Invited by Communications of the China Computer Federation, 2013.
[pdf]
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