| 2025 | ICLR | ϕ-Update: A Class of Policy Update Methods with Policy Convergence Guarantee. | Wenye Li, Jiacai Liu, Ke Wei |
| 2025 | ICML | UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance. | Fangchen Yu, Yanzhen Chen, Jiaxing Wei, Jianfeng Mao, Wenye Li, Qiang Sun |
| 2025 | WWW | A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective. | Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li |
| 2024 | WACV | DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction. | Fangchen Yu, Yina Xie, Lei Wu, Yafei Wen, Guozhi Wang, Shuai Ren, Xiaoxin Chen, Jianfeng Mao, Wenye Li |
| 2023 | AAAI | Metric Nearness Made Practical. | Wenye Li, Fangchen Yu, Zichen Ma |
| 2023 | ACL | MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking. | Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, Xiaodong He |
| 2023 | ECAI | Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction. | Fangchen Yu, Rui Bao, Jianfeng Mao, Wenye Li |
| 2023 | ICLR | S-NeRF: Neural Radiance Fields for Street Views. | Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, Li Zhang |
| 2023 | ICONIP | From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values. | Fangchen Yu, Zhan Shi, Yuqi Ma, Jianfeng Mao, Wenye Li |
| 2023 | UAI | Online estimation of similarity matrices with incomplete data. | Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li |
| 2022 | ACML | Asynchronous Personalized Federated Learning with Irregular Clients. | Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui |
| 2022 | IJCNLP | CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking. | Haoning Zhang, Junwei Bao, Haipeng Sun, Huaishao Luo, Wenye Li, Shuguang Cui |
| 2021 | ACML | PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients. | Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui |
| 2021 | CIKM | Learning Sparse Binary Code for Maximum Inner Product Search. | Changyi Ma, Fangchen Yu, Yueyao Yu, Wenye Li |
| 2020 | ACML | Scalable Calibration of Affinity Matrices from Incomplete Observations. | Wenye Li |
| 2020 | ICONIP | Sparse Lifting of Dense Vectors: A Unified Approach to Word and Sentence Representations. | Senyue Hao, Wenye Li |
| 2020 | SIGIR | Large-scale Image Retrieval with Sparse Binary Projections. | Changyi Ma, Chonglin Gu, Wenye Li, Shuguang Cui |
| 2019 | ICDM | An Augmented Transformer Architecture for Natural Language Generation Tasks. | Hailiang Li, Adele Y. C. Wang, Yang Liu, Du Tang, Zhibin Lei, Wenye Li |
| 2019 | IJCNN | AuxBlocks: Defense Adversarial Examples via Auxiliary Blocks. | Yueyao Yu, Pengfei Yu, Wenye Li |
| 2019 | ISCC | GreenFlowing: A Green Way of Reducing Electricity Cost for Cloud Data Center Using Heterogeneous ESDs. | Chonglin Gu, Wenye Li, Cong Shen, Shuguang Cui |
| 2019 | ISPA | To Shift Tasks or To Shift Energy by ESDs? An Economical Scheduling for Cloud Data Center. | Chonglin Gu, Yi Chen, Wenye Li, Chunyan Liu |
| 2018 | IJCAI | Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach. | Wenye Li, Jiawei Zhang, Jianjun Zhou, Laizhong Cui |
| 2014 | ICONIP | A Unified Framework for Privacy Preserving Data Clustering. | Wenye Li |
| 2014 | ICONIP | Privacy Preserving Clustering: A k-Means Type Extension. | Wenye Li |
| 2014 | ISNN | Gaussian Process Learning: A Divide-and-Conquer Approach. | Wenye Li |
| 2014 | ISNN | Early-Stopping Regularized Least-Squares Classification. | Wenye Li |
| 2013 | ICONIP | Modularity Embedding. | Wenye Li |
| 2013 | ICONIP | Modularity Segmentation. | Wenye Li |
| 2012 | ICONIP | r-Anonymized Clustering. | Wenye Li |
| 2012 | ICONIP | Clustering with Uncertainties: An Affinity Propagation-Based Approach. | Wenye Li |
| 2011 | IJCAI | Modular Community Detection in Networks. | Wenye Li, Dale Schuurmans |
| 2009 | CVPR | Fast normalized cut with linear constraints. | Linli Xu, Wenye Li, Dale Schuurmans |
| 2007 | ICML | Large-scale RLSC learning without agony. | Wenye Li, Kin-Hong Lee, Kwong-Sak Leung |
| 2007 | IJCAI | Generalizing the Bias Term of Support Vector Machines. | Wenye Li, Kwong-Sak Leung, Kin-Hong Lee |
| 2006 | ICONIP | Clustering with a Semantic Criterion Based on Dimensionality Analysis. | Wenye Li, Kin-Hong Lee, Kwong-Sak Leung |