Preprints

  1. Projection-free Online Learning with Arbitrary Delays [arXiv]
    Yuanyu Wan, Yibo Wang, Chang Yao, Wei-Wei Tu, and Lijun Zhang

  2. Revisiting Multi-Agent Asynchronous Online Optimization with Delays: the Strongly Convex Case [arXiv]
    Lingchan Bao, Tong Wei, and Yuanyu Wan

  3. Mirror Descent Under Generalized Smoothness [arXiv]
    Dingzhi Yu, Wei Jiang, Yuanyu Wan, Lijun Zhang

  4. Quantizing Diffusion Models from a Sampling-Aware Perspective [arXiv]
    Qian Zeng, Jie Song, Yuanyu Wan, Huiqiong Wang, Mingli Song

  5. Improved Projection-free Online Continuous Submodular Maximization [arXiv]
    Yucheng Liao, Yuanyu Wan, Chang Yao, and Mingli Song

Conference (*corresponding author)

  1. Continuous Subspace Optimization for Continual Learning [arXiv]
    Quan Cheng, Yuanyu Wan, Lingyu Wu, Chenping Hou, Lijun Zhang
    In Advances in Neural Information Processing Systems 38 (NeurIPS'25), to appear, 2025.

  2. Dataset Ownership Verification for Pre-trained Masked Models
    Yuechen Xie, Jie Song, Yicheng Shan, Xiaoyan Zhang, Yuanyu Wan, Shengxuming Zhang, Jiarui Duan, Mingli Song
    In Proceedings of the 2025 IEEE/CVF International Conference on Computer Vision (ICCV'25), to appear, 2025.

  3. Beyond the Label: Unveiling Fairness through Dynamic Attribute Projections in Classification
    Haoze Jiang, Zunlei Feng*, Jiacong Hu, Bingde Hu, Mingli Song, and Yuanyu Wan*
    In Proceedings of the 2025 IEEE International Conference on Multimedia and Expo 2025 (ICME'25), to appear, 2025.

  4. Revisiting Differentially Private Algorithms for Decentralized Online Learning [PDF]
    Xiaoyu Wang, Wenhao Yang, Chang Yao, Mingli Song, and Yuanyu Wan*
    In Proceedings of the 42nd International Conference on Machine Learning (ICML'25), pages 65213-65235, 2025.

  5. Multi-objective Linear Reinforcement Learning with Lexicographic Rewards [PDF]
    Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan, and Qingfu Zhang
    In Proceedings of the 42nd International Conference on Machine Learning (ICML'25), pages 70065-70085, 2025.

  6. Dimension-Free Adaptive Subgradient Methods with Frequent Directions [PDF]
    Sifan Yang, Yuanyu Wan, Peijia Li, Yibo Wang, Xiao Zhang, Zhewei Wei, and Lijun Zhang
    In Proceedings of the 42nd International Conference on Machine Learning (ICML'25), pages 71249-71274, 2025.

  7. Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions [PDF]
    Bo Xue, Xi Lin, Yuanyu Wan, and Qingfu Zhang
    In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI'25), pages 6776-6784, 2025.

  8. Smoothed Online Convex Optimization with Delayed Feedback [PDF]
    Sifan Yang, Wenhao Yang, Wei Jiang, Yuanyu Wan, and Lijun Zhang
    In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI'25), pages 6812-6820, 2025.

  9. Black-Box Reductions for Decentralized Online Convex Optimization in Changing Environments [PDF]
    Yuanyu Wan
    In Proceedings of the 38th Annual Conference on Learning Theory (COLT'25), pages 5605-5631, 2025.

  10. Revisiting Projection-Free Online Learning with Time-Varying Constraints [PDF]
    Yibo Wang, Yuanyu Wan*, and Lijun Zhang*
    In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI'25), pages 21339-21347, 2025.

  11. Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting [PDF]
    Sifan Yang, Yuanyu Wan*, and Lijun Zhang*
    In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI'25), pages 21992-22000, 2025.

  12. Safe Online Convex Optimization with Heavy-Tailed Observation Noises [PDF]
    Yunhao Yang, Bo Xue, Yunzhi Hao, Ying Li, and Yuanyu Wan*
    In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI'25), pages 22047-22055, 2025.

  13. Mixture of Online and Offline Experts for Non-stationary Time Series [PDF]
    Zhilin Zhao, Longbing Cao, and Yuanyu Wan
    In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI'25), pages 22867-22874, 2025.

  14. Improved Regret for Bandit Convex Optimization with Delayed Feedback [PDF]
    Yuanyu Wan, Chang Yao, Mingli Song, and Lijun Zhang
    In Advances in Neural Information Processing Systems 37 (NeurIPS'24), pages 169-196, 2024.

  15. Online Composite Optimization Between Stochastic and Adversarial Environments [PDF]
    Yibo Wang, Sijia Chen, Wei Jiang, Wenhao Yang, Yuanyu Wan, Lijun Zhang
    In Advances in Neural Information Processing Systems 37 (NeurIPS'24), pages 94808-94850, 2024.

  16. Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition [PDF]
    Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou, Tong Wei, Yuanyu Wan, Min-Ling Zhang
    In Advances in Neural Information Processing Systems 37 (NeurIPS'24), pages 51411-51435, 2024.

  17. Nearly Optimal Regret for Decentralized Online Convex Optimization [PDF]
    Yuanyu Wan, Tong Wei, Mingli Song, and Lijun Zhang
    In Proceedings of the 37th Annual Conference on Learning Theory (COLT'24), pages 4862-4888, 2024.

  18. Non-stationary Online Convex Optimization with Arbitrary Delays [PDF]
    Yuanyu Wan, Chang Yao, Mingli Song, and Lijun Zhang
    In Proceedings of the 41st International Conference on Machine Learning (ICML'24), pages 49991-50011, 2024.

  19. Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization [PDF]
    Wei Jiang, Sifan Yang, Wenhao Yang, Yibo Wang, Yuanyu Wan, and Lijun Zhang
    In Proceedings of the 41st International Conference on Machine Learning (ICML'24), pages 21962-21987, 2024.

  20. Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition [PDF]
    Tong Wei, Zhen Mao, Zi-Hao Zhou, Yuanyu Wan, and Min-Ling Zhang
    In Proceedings of the 41st International Conference on Machine Learning (ICML'24), pages 52611-52631, 2024.

  21. Projection-Free Bandit Convex Optimization over Strongly Convex Sets [PDF]
    Chenxu Zhang, Yibo Wang, Peng Tian, Xiao Cheng, Yuanyu Wan*, and Mingli Song
    In Proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'24), pages 118-129, 2024.

  22. Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees [PDF]
    Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, and Lijun Zhang
    In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), pages 15671-15679, 2024.

  23. Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards [PDF]
    Bo Xue, Yimu Wang, Yuanyu Wan, Jinfeng Yi, Lijun Zhang
    In Advances in Neural Information Processing Systems 36 (NeurIPS'23), pages 70880-70891, 2023.

  24. Disentangling Node Metric Factors For Temporal Link Prediction [PDF]
    Tianli Zhang, Tongya Zheng, Yuanyu Wan*, Ying Li, and Wenqi Huang
    In Proceedings of the 30th International Conference on Neural Information Processing (ICONIP'23), pages 346-357, 2023.

  25. Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket [PDF]
    Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan*, and Mingli Song
    In Proceedings of the 26th European Conference on Artificial Intelligence (ECAI'23), pages 2583-2590, 2023.

  26. Improved Dynamic Regret for Online Frank-Wolfe [PDF]
    Yuanyu Wan, Lijun Zhang, and Mingli Song
    In Proceedings of the 36th Annual Conference on Learning Theory (COLT'23), pages 3304-3327, 2023.

  27. Distributed Projection-free Online Learning for Smooth and Convex Losses [PDF]
    Yibo Wang, Yuanyu Wan, Shimao Zhang, and Lijun Zhang
    In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23), pages 10226-10234, 2023.

  28. Online Frank-Wolfe with Arbitrary Delays [PDF, Supplementary]
    Yuanyu Wan, Wei-Wei Tu, and Lijun Zhang
    In Advances in Neural Information Processing Systems 35 (NeurIPS'22), pages 19703-19715, 2022.

  29. Online Convex Optimization with Continuous Switching Constraint [PDF, Supplementary]
    Guanghui Wang, Yuanyu Wan, Tianbao Yang, and Lijun Zhang
    In Advances in Neural Information Processing Systems 34 (NeurIPS'21), pages 28636-28647, 2021.

  30. Approximate Multiplication of Sparse Matrices with Limited Space [PDF, arXiv]
    Yuanyu Wan, and Lijun Zhang
    In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), pages 10058 - 10066, 2021.

  31. Projection-free Online Learning in Dynamic Environments [PDF, Supplementary]
    Yuanyu Wan, Bo Xue, and Lijun Zhang
    In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), pages 10067-10075, 2021.

  32. Projection-free Online Learning over Strongly Convex Sets [PDF, arXiv]
    Yuanyu Wan, and Lijun Zhang
    In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), pages 10076-10084, 2021.

  33. Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity [PDF, Supplementary]
    Yuanyu Wan, Wei-Wei Tu, and Lijun Zhang
    In Proceedings of the 37th International Conference on Machine Learning (ICML'20), pages 9818-9828, 2020.

  34. Efficient Adaptive Online Learning via Frequent Directions [PDF, Supplementary]
    Yuanyu Wan, Nan Wei, and Lijun Zhang
    In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), pages 2748-2754, 2018.

  35. Accelerating Adaptive Online Learning by Matrix Approximation [PDF, Supplementary]
    Yuanyu Wan, and Lijun Zhang
    In Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'18), pages 405-417, 2018.

  36. FTMF: Recommendation in Social Network with Feature Transfer and Probabilistic Matrix Factorization [PDF]
    Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai, Dong Huang
    In Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN'16), pages 847-854, 2016.

  37. Pipeline Item-based Collaborative Filtering based on MapReduce [PDF]
    Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Zi-Wei Huang, and Jian-Huang Lai
    In Proceedings of the 2015 IEEE Fifth International Conference on Big Data and Cloud Computing (BDCC'15), pages 9-14, 2015.

Journal (*corresponding author)

  1. Optimal and Efficient Algorithms for Decentralized Online Convex Optimization [PDF]
    Yuanyu Wan, Tong Wei, Bo Xue, Mingli Song, and Lijun Zhang
    Journal of Machine Learning Research (JMLR), 26(135):1−43, 2025

  2. Regularized Online Exponentially Concave Optimization [PDF]
    Xu Yang, Peng Tian, Xiao Cheng, Yuanyu Wan*, and Mingli Song
    Neurocomputing, 595: 127789, 2024.

  3. Projection-free Distributed Online Learning with Sublinear Communication Complexity [PDF]
    Yuanyu Wan, Guanghui Wang, Wei-Wei Tu, and Lijun Zhang
    Journal of Machine Learning Research (JMLR), 23(172):1-53, 2022.

  4. Efficient Adaptive Online Learning via Frequent Directions [PDF]
    Yuanyu Wan, and Lijun Zhang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44(10): 6910-6923, 2022.

  5. Online Strongly Convex Optimization with Unknown Delays [PDF]
    Yuanyu Wan, Wei-Wei Tu, and Lijun Zhang
    Machine Learning, 111(3):871-893, 2022.

  6. Strongly Adaptive Online Learning over Partial Intervals [PDF, Supplementary]
    Yuanyu Wan, Wei-Wei Tu, and Lijun Zhang
    Science China Information Sciences (SCIS), 65(10): 202101, 2022.

  7. Accelerating Adaptive Online Learning by Matrix Approximation [PDF]
    Yuanyu Wan, and Lijun Zhang
    International Journal of Data Science and Analytics (JDSA), 9(4): 389-400, 2020.

  8. Recommendation in Feature Space Sphere [PDF]
    Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, and Jian-Huang Lai
    Electronic Commerce Research and Applications (ECRA), 26(4): 109-118, 2017.