PPaperPicks

Gao Huang

Tsinghua University, Department of Automation, BNRist, Beijing, China

60 papers at tracked venues · 46 at CORE A* · active 2024–2026

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Venues

CVPR ×14NeurIPS ×14ECCV ×8ICLR ×6AAAI ×5ACL ×2ICCV ×2ICML ×2IROS ×2MICCAI ×2ACM MM ×1EACL ×1NAACL ×1

Frequent coauthors

Andrew Zhao
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Dongchen Han
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Yifan Pu
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Yang Yue
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Jiayi Guo
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Rui Huang
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Zanlin Ni
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Shenzhi Wang
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Zeyu Liu
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Wangbo Zhao
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Chenxin Tao
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Jiangshan Wang
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Papers

  1. Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers
    EACL 2026 ·
    Andrew Zhao
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  2. SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation
    AAAI 2026 ·
    Hao Shi
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  3. Vision Transformers Are Circulant Attention Learners
    AAAI 2026 ·
    Dongchen Han
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  4. 4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
    CVPR 2025 ·
    Wanhua Li
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  5. ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation
    CVPR 2025 ·
    Yifan Pu
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  6. Absolute Zero: Reinforced Self-play Reasoning with Zero Data
    NeurIPS 2025 ·
    Andrew Zhao
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  7. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
    NeurIPS 2025 ·
    Shenzhi Wang
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  8. CODA: Repurposing Continuous VAEs for Discrete Tokenization
    ICCV 2025 ·
    Zeyu Liu
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  9. CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
    CVPR 2025 ·
    Yang Yue
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  10. DTOS: Dynamic Time Object Sensing with Large Multimodal Model
    CVPR 2025 ·
    Jirui Tian
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  11. DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding
    ICLR 2025 ·
    Henry Zheng
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  12. Differential Transformer
    ICLR 2025 ·
    Tianzhu Ye
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  13. DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
    AAAI 2025 ·
    Andrew Zhao
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  14. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
    NeurIPS 2025 ·
    Zhiqi Chen
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  15. DyMoDreamer: World Modeling with Dynamic Modulation
    NeurIPS 2025 ·
    Boxuan Zhang
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  16. Dynamic Diffusion Transformer
    ICLR 2025 ·
    Wangbo Zhao
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  17. EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance
    CVPR 2025 ·
    Yang Yue
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  18. Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
    CVPR 2025 ·
    Jiayi Guo
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  19. GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling
    ICLR 2025 ·
    Honghui Wang
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  20. HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding
    CVPR 2025 ·
    Chenxin Tao
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  21. How Far Is Video Generation from World Model: A Physical Law Perspective
    ICML 2025 ·
    Bingyi Kang
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  22. IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance
    ICCV 2025 ·
    Jiayi Guo
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  23. Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
    NeurIPS 2025 ·
    Yifan Pu
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  24. Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing
    NAACL 2025 ·
    Huanqian Wang
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  25. ProxyTransformation: Preshaping Point Cloud Manifold With Proxy Attention For 3D Visual Grounding
    CVPR 2025 ·
    Qihang Peng
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  26. Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias
    ICLR 2025 ·
    Rui Lu
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  27. UltraDP: Generalizable Carotid Ultrasound Scanning with Force-Aware Diffusion Policy
    IROS 2025 ·
    Ruoqu Chen
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  28. Video Perception Models for 3D Scene Synthesis
    NeurIPS 2025 ·
    Rui Huang
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  29. A Unified Interaction Control Framework for Safe Robotic Ultrasound Scanning with Human-Intention-Aware Compliance
    IROS 2024 ·
    Xiangjie Yan
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  30. ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
    ICLR 2024 ·
    Changyao Tian
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  31. AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation
    ECCV 2024 ·
    Zanlin Ni
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  32. Agent Attention: On the Integration of Softmax and Linear Attention
    ECCV 2024 ·
    Dongchen Han
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  33. Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling
    ACL 2024 ·
    Shenzhi Wang
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  34. Bridging the Divide: Reconsidering Softmax and Linear Attention
    NeurIPS 2024 ·
    Dongchen Han
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  35. COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing
    NeurIPS 2024 ·
    Jiangshan Wang
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  36. Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model
    MICCAI 2024 ·
    Haojun Jiang
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  37. DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
    NeurIPS 2024 ·
    Yang Yue
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  38. Demystify Mamba in Vision: A Linear Attention Perspective
    NeurIPS 2024 ·
    Dongchen Han
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  39. DyFADet: Dynamic Feature Aggregation for Temporal Action Detection
    ECCV 2024 ·
    Le Yang
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  40. Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
    NeurIPS 2024 ·
    Wangbo Zhao
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  41. ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis
    NeurIPS 2024 ·
    Zanlin Ni
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  42. Efficient Diffusion Transformer with Step-Wise Dynamic Attention Mediators
    ECCV 2024 ·
    Yifan Pu
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  43. ExpeL: LLM Agents Are Experiential Learners
    AAAI 2024 ·
    Andrew Zhao
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  44. Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation
    AAAI 2024 ·
    Matthieu Lin
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  45. Exploring Text-to-Motion Generation with Human Preference
    CVPR 2024 ·
    Jenny Sheng
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  46. GRA: Detecting Oriented Objects Through Group-Wise Rotating and Attention
    ECCV 2024 ·
    Jiangshan Wang
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  47. GSVA: Generalized Segmentation via Multimodal Large Language Models
    CVPR 2024 ·
    Zhuofan Xia
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  48. Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
    ECCV 2024 ·
    Zeyu Liu
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  49. LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images
    ECCV 2024 ·
    Zonghao Guo
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  50. Learning 1D Causal Visual Representation with De-focus Attention Networks
    NeurIPS 2024 ·
    Chenxin Tao
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  51. Mask Grounding for Referring Image Segmentation
    CVPR 2024 ·
    Yong Xien Chng
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  52. Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models
    CVPR 2024 ·
    Xingqian Xu
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  53. PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents
    ACL 2024 ·
    Qisen Yang
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  54. Rethinking the Architecture Design for Efficient Generic Event Boundary Detection
    ACM MM 2024 ·
    Ziwei Zheng
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  55. Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis
    CVPR 2024 ·
    Zanlin Ni
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  56. Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation Without Manual Labels
    ECCV 2024 ·
    Rui Huang
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  57. SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
    ICML 2024 ·
    Chaoqun Du
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  58. Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
    CVPR 2024 ·
    Jiayi Guo
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  59. Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train
    MICCAI 2024 ·
    Haojun Jiang
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  60. Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data
    NeurIPS 2024 ·
    Rui Huang
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