Junge Zhang

Venues

Frequent coauthors

Papers

1. Calibration-Aware Policy Optimization for Reasoning LLMs
   ACL 2026 ·

   Ziqi Wang

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2. Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs
   AAAI 2026 ·

   Jing Cui

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3. Distribution Optimization Under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation
   WACV 2025 ·

   Liang Chen

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4. EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning
   ACL 2025 ·

   Xiaoqian Liu

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5. IDEA-Bench: How Far are Generative Models from Professional Designing?
   CVPR 2025 ·

   Chen Liang

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6. RainbowArena: A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models in Competitive Tabletop Games
   AAMAS 2025 ·

   Yingzhuo Liu

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7. Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling
   AAAI 2025 ·

   Xingzhou Lou

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8. Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes
   ICCV 2025 ·

   Sarosij Bose

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9. ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning
   IJCAI 2024 ·

   Yang Yu

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10. BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning
    AAAI 2024 ·

    Jing Cui

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11. Information Bottleneck Based Data Correction in Continual Learning
    ECCV 2024 ·

    Shuai Chen

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12. NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
    AAAI 2024 · Junge Zhang
13. PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning
    AAMAS 2024 ·

    Hangyu Mao

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14. Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks
    IJCAI 2024 ·

    Pei Xu

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15. Position: Foundation Agents as the Paradigm Shift for Decision Making
    ICML 2024 ·

    Xiaoqian Liu

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16. ProAgent: Building Proactive Cooperative Agents with Large Language Models
    AAAI 2024 ·

    Ceyao Zhang

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17. Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models
    AAMAS 2024 ·

    Xingzhou Lou

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18. TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
    AAAI 2024 ·

    Xingzhou Lou

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