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Huayu Chen

12 papers · 2022–2025 · 4 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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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (23) 🌍 Conference Polyglot Β· Bronze 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (11)
🌈 Renaissance Researcher (5) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (55)

Venues

ICLR (4) ICML (4) NeurIPS (3) JMLR (1)

Top co-authors

Jun Zhu (11) Hang Su (9) Kaiwen Zheng (3) Jianfei Chen (3) Cheng Lu (3) Ganqu Cui (2) Zhengyi Wang (2) Guande He (2) Lifan Yuan (2) Yongxin Chen (1)

Research topics

Deep Learning (8) Machine Learning (7) Models (7) Artificial Intelligence (6) Core AI (6) Reinforcement Learning (4) Learning Types (4) Methods (4) Optimization & Theory (3) Computer Vision (2) Generation (2) Natural Language Processing (1) Robotics (1) Application Areas (1) Applications (1)

Keywords

diffusion model (7) offline reinforcement learning (4) generative model (4) contrastive learning (2) policy optimization (2) behavior modeling (2) model alignment (1) policy learning (1) imitation learning (1) preference optimization (1) guided sampling (1) language model alignment (1) adversarial learning (1) continuous control (1) likelihood ratio (1) domain adaptation (1) self-play (1) majority voting (1) reward function (1) reinforcement learning (1)

Papers

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator ICML 2025 Free Process Rewards without Process Labels ICML 2025 RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation ICLR 2025 Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment ICLR 2025 Visual Generation Without Guidance ICML 2025 Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control NeurIPS 2024 C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 Noise Contrastive Alignment of Language Models with Explicit Rewards NeurIPS 2024 Score Regularized Policy Optimization through Diffusion Behavior ICLR 2024 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning ICML 2023 Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling ICLR 2023 Tianshou: A Highly Modularized Deep Reinforcement Learning Library JMLR 2022