Ying Nian Wu

Venues

Frequent coauthors

Papers

1. Dynamic Generation of Multi LLM Agents Communication Topologies with Graph Diffusion Models
   ACL 2026 ·

   Eric Hanchen Jiang

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2. Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions
   ACL 2026 ·

   Boyan Duan

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3. Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
   ACL 2026 ·

   Eric Hanchen Jiang

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4. Simple Role Assignment is Extraordinarily Effective for Safety Alignment
   ACL 2026 ·

   Zhou Ziheng

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5. Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
   ACL 2026 ·

   Xiao Liang

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6. Why Are We Moral? An LLM-based Agent Simulation Approach to the Study of Moral Evolution
   ACL 2026 ·

   Zhou Ziheng

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7. An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning
   ICML 2025 ·

   Chuan Liu

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8. DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models
   ICLR 2025 ·

   Ruibing Song

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9. Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models
   ICLR 2025 ·

   Chuan Liu

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10. Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence
    NeurIPS 2025 ·

    Yining Hong

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11. Explore the Reasoning Capability of LLMs in the Chess Testbed
    NAACL 2025 ·

    Shu Wang

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12. Latent Thought Models with Variational Bayes Inference-Time Computation
    ICML 2025 ·

    Deqian Kong

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13. MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
    NeurIPS 2025 ·

    Haoyang Fang

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14. Monitoring Primitive Interactions During the Training of DNNs
    AAAI 2025 ·

    Jie Ren

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15. On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
    ICLR 2025 ·

    Dehong Xu

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16. On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models
    NAACL 2025 ·

    Tianyang Zhao

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17. Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
    NeurIPS 2025 ·

    Ruiyao Miao

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18. Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
    NeurIPS 2025 ·

    Minglu Zhao

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19. SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation
    ICLR 2025 ·

    Yining Hong

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20. SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
    NeurIPS 2025 ·

    Xiao Liang

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21. Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts
    ACL 2025 ·

    Jingxuan Li

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22. Visual Agents as Fast and Slow Thinkers
    ICLR 2025 ·

    Guangyan Sun

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23. Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication
    NeurIPS 2024 ·

    Yunuo Chen

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24. EM Distillation for One-step Diffusion Models
    NeurIPS 2024 ·

    Sirui Xie

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25. Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
    NeurIPS 2024 ·

    Yasi Zhang

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26. INTERPRET: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning
    RSS 2024 ·

    Muzhi Han

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27. Image Translation as Diffusion Visual Programmers
    ICLR 2024 ·

    Cheng Han

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28. LLM3: Large Language Model-based Task and Motion Planning with Motion Failure Reasoning
    IROS 2024 ·

    Shu Wang

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29. Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
    NeurIPS 2024 ·

    Deqian Kong

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30. Learning Concept-Based Causal Transition and Symbolic Reasoning for Visual Planning
    IROS 2024 ·

    Yilue Qian

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31. Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
    ICLR 2024 ·

    Yaxuan Zhu

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32. Learning for Transductive Threshold Calibration in Open-World Recognition
    CVPR 2024 ·

    Qin Zhang

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33. Molecule Design by Latent Prompt Transformer
    NeurIPS 2024 ·

    Deqian Kong

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34. Neural-Symbolic Recursive Machine for Systematic Generalization
    ICLR 2024 ·

    Qing Li

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35. No Head Left Behind - Multi-Head Alignment Distillation for Transformers
    AAAI 2024 ·

    Tianyang Zhao

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36. Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models
    ECCV 2024 ·

    Yasi Zhang

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37. Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
    ECCV 2024 ·

    Yingshan Chang

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38. The motion planning neural circuit in goal-directed navigation as Lie group operator search
    NeurIPS 2024 ·

    Junfeng Zuo

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39. Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
    ICLR 2024 ·

    Qin Zhang

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40. Visual Fourier Prompt Tuning
    NeurIPS 2024 ·

    Runjia Zeng

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