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Zhi Wang

Tsinghua University, Graduate School, Shenzhen, China

24 papers at tracked venues · 20 at CORE A* · active 2024–2025

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Venues

NeurIPS ×7AAAI ×5ACM MM ×2CVPR ×2ICCV ×2ECAI ×1ECCV ×1EMNLP ×1ICLR ×1ICML ×1IJCAI ×1

Frequent coauthors

Jiajun Luo
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Zican Hu
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Shuzhao Xie
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Yaohua Zha
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Haotian Dong
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Duo Wu
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Yuan Xue
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Mingzi Wang
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Jianhao Yan
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Wenhao Wu
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Lei Chen
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Jiacheng Jiang
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Papers

  1. Accelerating Parallel Diffusion Model Serving with Residual Compression
    NeurIPS 2025 ·
    Jiajun Luo
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  2. Beyond A Single AI Cluster: A Survey of Decentralized LLM Training
    EMNLP 2025 ·
    Haotian Dong
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  3. CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning
    ICCV 2025 ·
    Duo Wu
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  4. DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
    ICCV 2025 ·
    Jiajun Luo
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  5. Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning
    ICML 2025 ·
    Zican Hu
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  6. Dynamic Model Fusion for Multi-Source Test-Time Adaptation
    ECAI 2025 ·
    Yuan Xue
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  7. JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
    AAAI 2025 ·
    Mingzi Wang
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  8. Learning to Reason under Off-Policy Guidance
    NeurIPS 2025 ·
    Jianhao Yan
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  9. Mixture-of-Experts Meets In-Context Reinforcement Learning
    NeurIPS 2025 ·
    Wenhao Wu
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  10. Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
    CVPR 2025 ·
    Lei Chen
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  11. Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective
    ACM MM 2025 ·
    Jiacheng Jiang
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  12. SizeGS: Size-aware Compression of 3D Gaussian Splatting via Mixed Integer Programming
    ACM MM 2025 ·
    Shuzhao Xie
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  13. Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision
    NeurIPS 2025 ·
    Shilin Zhang
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  14. Understanding Bias Terms in Neural Representations
    NeurIPS 2025 ·
    Weixiang Zhang
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  15. Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
    ICLR 2024 ·
    Zican Hu
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  16. Invertible Residual Rescaling Models
    IJCAI 2024 ·
    Jinmin Li
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  17. LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
    NeurIPS 2024 ·
    Yaohua Zha
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  18. MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation
    ECCV 2024 ·
    Shuzhao Xie
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  19. Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
    NeurIPS 2024 · Zhi Wang
  20. OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
    AAAI 2024 ·
    Jinyi Liu
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  21. Procedural Level Generation with Diffusion Models from a Single Example
    AAAI 2024 ·
    Shiqi Dai
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  22. Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
    CVPR 2024 ·
    Chen Tang
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  23. Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
    AAAI 2024 ·
    Yaohua Zha
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  24. Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
    AAAI 2024 ·
    Taolin Zhang
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