Chaowen Hu

4 papers · 2023–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ACL (2) ICLR (1) NeurIPS (1)

Top co-authors

Jiaye Lin (2) Ke Zeng (2) Binbin Zheng (2) Yangyi Fang (2) Xiaoliang Fu (2) Zekai Shao (2) Lu Pan (2) Jiahuan Yan (2) Jian Wu (2) Cong Qin (2)

Research topics

Artificial Intelligence (4) Core AI (3) Machine Learning (2) Reinforcement Learning (2) Methods (2) Deep Learning (1) Application Areas (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

large language model (3) policy optimization (2) reinforcement learning (2) knowledge distillation (1) importance sampling (1) medical domain (1) tabular prediction (1) pareto front (1) multi-objective bayesian optimization (1) student-teacher learning (1) probability mass (1) graph neural network (1) probability gradient (1) gradient utilization (1) molecular optimization (1) self-supervised learning (1)

Papers

From log 𝜋 to 𝜋: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight ACL 2026 MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning ACL 2026 Small Models are LLM Knowledge Triggers for Medical Tabular Prediction ICLR 2025 Sample-efficient Multi-objective Molecular Optimization with GFlowNets NeurIPS 2023