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Baoxiang Wang

Chinese University of Hong Kong, Department of Computer Science and Engineering, Shenzhen, China

21 papers at tracked venues · 16 at CORE A* · active 2024–2025

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Venues

ICLR ×5NeurIPS ×5AAAI ×3AISTATS ×3ICML ×3IJCAI ×1UAI ×1

Frequent coauthors

Jing Dong
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Ruinan Jin
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Huanjian Zhou
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Canzhe Zhao
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Han Wang
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Jiawei Xu
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Zeyuan Liu
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Shuhui Zhu
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Wenhao Li
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Yun Hua
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Yingru Li
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Ruofeng Yang
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Papers

  1. A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
    ICML 2025 ·
    Ruinan Jin
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  2. ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
    NeurIPS 2025 ·
    Zeyuan Liu
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  3. Improved Approximation Algorithms for k-Submodular Maximization via Multilinear Extension
    ICLR 2025 ·
    Huanjian Zhou
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  4. Last-iterate Convergence in Regularized Graphon Mean Field Game
    AAAI 2025 ·
    Jing Dong
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  5. Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
    ICML 2025 ·
    Canzhe Zhao
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  6. Learning to Communicate Through Implicit Communication Channels
    ICLR 2025 ·
    Han Wang
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  7. Learning to Negotiate via Voluntary Commitment
    AISTATS 2025 ·
    Shuhui Zhu
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  8. Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions
    AAAI 2025 ·
    Canzhe Zhao
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  9. Multi-Agent Credit Assignment with Pretrained Language Models
    AISTATS 2025 ·
    Wenhao Li
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  10. Reward Translation via Reward Machine in Semi-Alignable MDPs
    ICML 2025 ·
    Yun Hua
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  11. Scalable Exploration via Ensemble++
    NeurIPS 2025 ·
    Yingru Li
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  12. Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
    ICLR 2025 ·
    Jiawei Xu
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  13. The adaptive complexity of parallelized log-concave sampling
    ICLR 2025 ·
    Huanjian Zhou
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  14. Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
    NeurIPS 2025 ·
    Jing Dong
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  15. Carbon Market Simulation with Adaptive Mechanism Design
    IJCAI 2024 ·
    Han Wang
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  16. Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
    AISTATS 2024 ·
    Jing Dong
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  17. Few-Shot Diffusion Models Escape the Curse of Dimensionality
    NeurIPS 2024 ·
    Ruofeng Yang
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  18. On Stationary Point Convergence of PPO-Clip
    ICLR 2024 ·
    Ruinan Jin
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  19. Online Control with Adversarial Disturbance for Continuous-time Linear Systems
    NeurIPS 2024 ·
    Jingwei Li
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  20. Online Policy Optimization for Robust Markov Decision Process
    UAI 2024 ·
    Jing Dong
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  21. Relative Policy-Transition Optimization for Fast Policy Transfer
    AAAI 2024 ·
    Jiawei Xu
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