PPaperPicks

Bo An

Nanyang Technological University, Singapore

68 papers at tracked venues · 56 at CORE A* · active 2024–2026

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Venues

NeurIPS ×12ICML ×10ICLR ×9SIGKDD ×7AAAI ×6IJCAI ×6ACL ×5AAMAS ×4WWW ×4AISTATS ×2CVPR ×2SIGIR ×1

Frequent coauthors

Lang Feng
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Pengdeng Li
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Wentao Zhang
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Zhenghai Xue
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Yiwen Zhu
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Chuqiao Zong
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Haochong Xia
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Molei Qin
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Yewen Li
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Penghui Yang
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Longtao Zheng
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Weihao Tan
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Papers

  1. AgentOCR: Reimagining Agent History via Optical Self-Compression
    ACL 2026 ·
    Lang Feng
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  2. ArchetypeTrader: Reinforcement Learning for Selecting and Refining Learnable Strategic Archetypes in Quantitative Trading
    AAAI 2026 ·
    Chuqiao Zong
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  3. Bayesian Robust Financial Trading with Adversarial Synthetic Market Data
    SIGKDD 2026 ·
    Haochong Xia
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  4. C2PO: Diagnosing and Disentangling Bias Shortcuts in LLMs
    ACL 2026 ·
    Xuan Feng
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  5. FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment
    SIGKDD 2026 ·
    Wentao Zhang
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  6. FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures Trading
    SIGKDD 2026 ·
    Molei Qin
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  7. GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization
    AAAI 2026 ·
    Yanchen Deng
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  8. LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting
    WWW 2026 ·
    Yewen Li
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  9. LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification
    ACL 2026 ·
    Penghui Yang
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  10. SeDev: Structured Semantic Exploration for LLM-Driven Code Generation
    ACL 2026 ·
    Ronghui Yang
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  11. A Closer Look at Backdoor Attacks on CLIP
    ICML 2025 ·
    Shuo He
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  12. A Survey on Trustworthy LLM Agents: Threats and Countermeasures
    SIGKDD 2025 ·
    Miao Yu
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  13. AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
    WWW 2025 ·
    Zhenghai Xue
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  14. AgentStudio: A Toolkit for Building General Virtual Agents
    ICLR 2025 ·
    Longtao Zheng
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  15. Cradle: Empowering Foundation Agents towards General Computer Control
    ICML 2025 ·
    Weihao Tan
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  16. Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery
    NeurIPS 2025 ·
    Zhe Zhao
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  17. Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head
    SIGKDD 2025 ·
    Penghui Yang
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  18. EconGym: A Scalable AI Testbed with Diverse Economic Tasks
    NeurIPS 2025 ·
    Qirui Mi
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  19. Efficient Last-Iterate Convergence in Solving Extensive-Form Games
    NeurIPS 2025 ·
    Linjian Meng
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  20. Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
    NeurIPS 2025 ·
    Simin Li
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  21. Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL
    AAMAS 2025 ·
    Sheng Zang
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  22. Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel-Young Losses
    NeurIPS 2025 ·
    Yuzhou Cao
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  23. GAS: Generative Auto-bidding with Post-training Search
    WWW 2025 ·
    Yewen Li
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  24. Generative Auto-Bidding with Value-Guided Explorations
    SIGIR 2025 ·
    Jingtong Gao
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  25. Group-in-Group Policy Optimization for LLM Agent Training
    NeurIPS 2025 ·
    Lang Feng
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  26. Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning
    NeurIPS 2025 ·
    Yiwen Zhu
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  27. Incentivizing LLMs to Self-Verify Their Answers
    NeurIPS 2025 ·
    Fuxiang Zhang
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  28. Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack
    AAAI 2025 ·
    Qi Wei
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  29. Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs
    NeurIPS 2025 ·
    Zhiyi Lyu
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  30. MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
    NeurIPS 2025 ·
    Qirui Mi
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  31. OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning
    NeurIPS 2025 ·
    Zeting Chen
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  32. OpticalNet: An Optical Imaging Dataset and Benchmark Beyond the Diffraction Limit
    CVPR 2025 ·
    Benquan Wang
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  33. Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy
    ICLR 2025 ·
    Zhenghai Xue
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  34. Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
    ICML 2025 ·
    Zhenghai Xue
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  35. Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation
    ICLR 2025 ·
    Yi-Chen Li
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  36. Removing Prompt-template Bias in Reinforcement Learning from Human Feedback
    ACL 2025 ·
    Chaojie Wang
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  37. Representation Surgery in Model Merging with Probabilistic Modeling
    ICML 2025 ·
    Qi Wei
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  38. Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning
    ICML 2025 ·
    Lang Feng
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  39. A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
    SIGKDD 2024 ·
    Wentao Zhang
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  40. Configurable Mirror Descent: Towards a Unification of Decision Making
    ICML 2024 ·
    Pengdeng Li
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  41. Consistent Hierarchical Classification with A Generalized Metric
    AISTATS 2024 ·
    Yuzhou Cao
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  42. Consistent Multi-Class Classification from Multiple Unlabeled Datasets
    ICLR 2024 ·
    Zixi Wei
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  43. DAG-Based Column Generation for Adversarial Team Games
    ICML 2024 ·
    Youzhi Zhang
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  44. EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading
    AAAI 2024 ·
    Molei Qin
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  45. Grasper: A Generalist Pursuer for Pursuit-Evasion Problems
    AAMAS 2024 ·
    Pengdeng Li
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  46. IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making
    IJCAI 2024 ·
    Hui Niu
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  47. Improving Unsupervised Hierarchical Representation With Reinforcement Learning
    CVPR 2024 ·
    Ruyi An
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  48. Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
    ICML 2024 ·
    Zitao Song
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  49. MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
    NeurIPS 2024 ·
    Renchunzi Xie
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  50. MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading
    SIGKDD 2024 ·
    Chuqiao Zong
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  51. Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
    AAAI 2024 ·
    Haochong Xia
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  52. Mitigating Underfitting in Learning to Defer with Consistent Losses
    AISTATS 2024 ·
    Shuqi Liu
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  53. On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
    ICLR 2024 ·
    Shengjie Zhou
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  54. PoRank: A Practical Framework for Learning to Rank Policies
    IJCAI 2024 ·
    Pengjie Gu
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  55. Reinforcement Learning from Diverse Human Preferences
    IJCAI 2024 ·
    Wanqi Xue
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  56. Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools
    WWW 2024 ·
    Wentao Zhang
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  57. Reinforcement Nash Equilibrium Solver
    AAMAS 2024 ·
    Xinrun Wang
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  58. Reinforcement Nash Equilibrium Solver
    IJCAI 2024 ·
    Xinrun Wang
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  59. Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
    ICML 2024 ·
    Lang Feng
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  60. S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
    ICLR 2024 ·
    Safa Messaoud
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  61. Safe and Robust Subgame Exploitation in Imperfect Information Games
    ICML 2024 ·
    Zhenxing Ge
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  62. Self-adaptive PSRO: Towards an Automatic Population-based Game Solver
    IJCAI 2024 ·
    Pengdeng Li
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  63. Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution
    ICLR 2024 ·
    Shanqi Liu
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  64. Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control
    ICLR 2024 ·
    Longtao Zheng
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  65. Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games
    AAAI 2024 ·
    Pengdeng Li
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  66. True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning
    ICLR 2024 ·
    Weihao Tan
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  67. vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement
    IJCAI 2024 ·
    Yiwen Zhu
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  68. vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms
    AAMAS 2024 ·
    Yiwen Zhu
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