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  • 1820. Chenyu Yang, Wanrong He, Yingqing Xu, Yang Gao. EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer,. European Conference on Computer Vision (ECCV), 2022.  
  • 1819. Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao,. Semantic-Aware Fine-Grained Correspondence,. European Conference on Computer Vision (ECCV), 2022, Oral.  
  • 1818. Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao,. Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction,. European Conference on Computer Vision (ECCV), 2022.  
  • 1817. Weirui Ye, Pieter Abbeel, Yang Gao,. Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions,. Neural Information Processing Systems (NeurIPS), 2022.  
  • 1816. Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu,. Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning,. Neural Information Processing Systems (NeurIPS), 2022.  
  • 1815. Renhao Wang, Hang Zhao, Yang Gao. CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation,. European Conference on Computer Vision (ECCV), 2022.  
  • 1814. Jinkun Cao, Ruiqian Nai, Qing Yang, Jialei Huang, Yang Gao,. An Empirical Study on Disentanglement of Negative-free Contrastive Learning​,. Neural Information Processing Systems (NeurIPS), 2022.  
  • 1813. Zhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao,. Planning for Sample Efficient Imitation Learning,. Neural Information Processing Systems (NeurIPS), 2022.  
  • 1812. T. Hao, J. Zhou, Y. Cheng, L. Huang, H. Wu,. A Unified Framework for User Identification Across Online and Offline Data. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022.  
  • 1811. J. Huang, Y. Dai,  L. Huang,. Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits. Proceedings of the 39th International Conference on Machine Learning (ICML), July 2022..  
  • 1810. P. Hu, Y. Chen, L. Huang,. Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation. Proceedings of the 39th International Conference on Machine Learning (ICML), July 2022..  
  • 1809. Y. Huang, J. Lin, C. Zhou, H. Yang, L. Huang,. Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). Proceedings of the 39th International Conference on Machine Learning (ICML), July 2022..  
  • 1808. H. Zhou, K. Lv, L. Huang, X. Ma,. Quantum Network: Security Assessment and Key Management. IEEE/ACM Transactions on Networking (TON) , Volume: 30, Issue: 3, June 2022..  
  • 1807. P. Hu, L. Pan, Y.Chen, Z. Fang, L.Huang,. Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning. Proceedings of the 23rd ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), October 2022..  
  • 1806. L. Pan, L. Huang, T. Ma, H. Xu,. Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. Proceedings of the 39th International Conference on Machine Learning (ICML), July 2022..  
  • 1805. Y. Huang, Y. Cheng, Y. Liang, L. Huang,. Online Min-max Optimization: Nonconvexity. The 14th International OPT Workshop on Optimization for Machine Learning (NeurIPS-OPT), December 2022..  
  • 1804. Y. Cai, C. Zhang, W. Shen, X. He, X. Zhang and L. Huang,. Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. Proceedings of the 31st ACM International Conference on Information and Knowledge Management, (CIKM), October 2022..  
  • 1803. Y. Huang, Y. Liang, and L. Huang,. Provable Generalization of Overparameterized Meta-learning Trained with SGD. Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), December 2022..