Cai, Qi

18 publications

ECML-PKDD 2025 Learning Submodular Sequencing from Samples Jing Yuan, Qi Cai, Xin Gao, Shaojie Tang

ICML 2025 PROTOCOL: Partial Optimal Transport-Enhanced Contrastive Learning for Imbalanced Multi-View Clustering Xuqian Xue, Yiming Lei, Qi Cai, Hongming Shan, Junping Zhang

NeurIPS 2025 VTON-VLLM: Aligning Virtual Try-on Models with Human Preferences Siqi Wan, Jingwen Chen, Qi Cai, Yingwei Pan, Ting Yao, Tao Mei

CVPR 2024 Boosting Diffusion Models with Moving Average Sampling in Frequency Domain Yurui Qian, Qi Cai, Yingwei Pan, Yehao Li, Ting Yao, Qibin Sun, Tao Mei

ICCV 2023 ObjectFusion: Multi-Modal 3D Object Detection with Object-Centric Fusion Qi Cai, Yingwei Pan, Ting Yao, Chong-Wah Ngo, Tao Mei

ICLR 2023 Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang

ICML 2022 Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes Hongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang

ICML 2022 Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency Qi Cai, Zhuoran Yang, Zhaoran Wang

ICLRW 2022 Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-Based Methods for Object Manipulation Yingwei Pan, Yehao Li, Yiheng Zhang, Qi Cai, Fuchen Long, Zhaofan Qiu, Ting Yao, Tao Mei

NeurIPS 2021 BooVI: Provably Efficient Bootstrapped Value Iteration Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang

NeurIPS 2020 Can Temporal-Diﬀerence and Q-Learning Learn Representation? a Mean-Field Theory Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang

ICML 2020 Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang

NeurIPS 2020 Joint Contrastive Learning with Infinite Possibilities Qi Cai, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei

ICLR 2020 Neural Policy Gradient Methods: Global Optimality and Rates of Convergence Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang

ICML 2020 On the Global Optimality of Model-Agnostic Meta-Learning Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang

ICML 2020 Provably Efficient Exploration in Policy Optimization Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang

NeurIPS 2019 Neural Temporal-Difference Learning Converges to Global Optima Qi Cai, Zhuoran Yang, Jason Lee, Zhaoran Wang

NeurIPS 2019 Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang