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Wenwu Zhu

Tsinghua University, Department of Computer Science, Beijing, China

45 papers at tracked venues · 43 at CORE A* · active 2024–2026

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Venues

ACM MM ×10AAAI ×8ICML ×8CVPR ×4SIGKDD ×4WWW ×4NeurIPS ×2CIKM ×1ECCV ×1ICDE ×1ICLR ×1SIGIR ×1

Frequent coauthors

Xin Wang
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Haoyang Li
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Bin Huang
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Yipeng Zhang
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Yang Yao
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Houlun Chen
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Tongtong Feng
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Chendi Ge
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Peiwen Li
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Yuwei Zhou
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Hong Chen
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Zeyang Zhang
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Papers

  1. Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning
    AAAI 2026 ·
    Yipeng Zhang
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  2. Disentangled Graph LLM for Molecule Graph Editing under Distribution Shifts
    WWW 2026 ·
    Yang Yao
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  3. Out-of-distribution Generalized Generative AI
    WWW 2026 ·
    Xin Wang
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  4. Think with Grounding: Curriculum Reinforced Reasoning with Video Grounding for Long Video Understanding
    SIGIR 2026 ·
    Houlun Chen
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  5. U2UData+: A Scalable Swarm UAVs Autonomous Flight Dataset for Embodied Long-horizon Tasks
    AAAI 2026 ·
    Tongtong Feng
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  6. AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization
    ICML 2025 ·
    Haibo Chen
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  7. Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
    AAAI 2025 ·
    Chendi Ge
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  8. Causal-aware Graph Neural Architecture Search under Distribution Shifts
    SIGKDD 2025 ·
    Peiwen Li
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  9. Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts
    ICML 2025 ·
    Haoyang Li
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  10. DyNAS-DDI: Dynamic Pairwise Architecture Search for Generalizable Drug-Drug Interaction LLM
    ACM MM 2025 ·
    Linxin Xiao
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  11. Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
    ICML 2025 ·
    Chendi Ge
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  12. Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning
    ACM MM 2025 ·
    Baining Zhao
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  13. Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM
    WWW 2025 ·
    Xin Wang
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  14. Identity-Text Video Corpus Grounding
    AAAI 2025 ·
    Bin Huang
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  15. Improving Compositional Generalization in Cross-Embodiment Learning via Mixture of Disentangled Prototypes
    ACM MM 2025 ·
    Ren Wang
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  16. JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
    AAAI 2025 ·
    Mingzi Wang
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  17. Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM
    AAAI 2025 ·
    Zirui Pan
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  18. Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering
    ICML 2025 ·
    Zihan Song
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  19. ModuleTeam: Open-Set Multi-Conditional Image Generation with Training-Free Latent Mixture of Any Control Module
    ACM MM 2025 ·
    Yuwei Zhou
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  20. Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup
    NeurIPS 2025 ·
    Sibo Tian
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  21. Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
    CVPR 2025 ·
    Lei Chen
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  22. Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective
    ACM MM 2025 ·
    Jiacheng Jiang
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  23. Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
    ICML 2025 ·
    Haoyang Li
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  24. Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
    CVPR 2025 ·
    Zijing Hu
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  25. CurBench: Curriculum Learning Benchmark
    ICML 2024 ·
    Yuwei Zhou
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  26. Curriculum Learning for Multimedia in the Era of Large Language Models
    ACM MM 2024 ·
    Xin Wang
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  27. Curriculum Learning: Theories, Approaches, Applications, Tools, and Future Directions in the Era of Large Language Models
    WWW 2024 ·
    Xin Wang
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  28. Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts
    AAAI 2024 ·
    Yang Yao
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  29. DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
    ICLR 2024 ·
    Hong Chen
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  30. DisenStudio: Customized Multi-Subject Text-to-Video Generation with Disentangled Spatial Control
    ACM MM 2024 ·
    Hong Chen
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  31. Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
    ICML 2024 ·
    Zeyang Zhang
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  32. Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
    ICML 2024 ·
    Haoyang Li
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  33. LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
    SIGKDD 2024 ·
    Zeyang Zhang
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  34. Large Language Model with Curriculum Reasoning for Visual Concept Recognition
    SIGKDD 2024 ·
    Yipeng Zhang
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  35. Multimodal Graph Neural Architecture Search under Distribution Shifts
    AAAI 2024 ·
    Jie Cai
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  36. Neighbor Does Matter: Curriculum Global Positive-Negative Sampling for Vision-Language Pre-training
    ACM MM 2024 ·
    Bin Huang
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  37. OOD-GNN: Out-of-Distribution Generalized Graph Neural Network: (Extended Abstract)
    ICDE 2024 ·
    Haoyang Li
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  38. Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models
    ECCV 2024 ·
    Siao Tang
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  39. RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
    CIKM 2024 ·
    Peiwen Li
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  40. Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
    CVPR 2024 ·
    Chen Tang
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  41. Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
    SIGKDD 2024 ·
    Beini Xie
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  42. U2UData: A Large-scale Cooperative Perception Dataset for Swarm UAVs Autonomous Flight
    ACM MM 2024 ·
    Tongtong Feng
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  43. U2USim - A UAV Telepresence Simulation Platform with Multi-agent Sensing and Dynamic Environment
    ACM MM 2024 ·
    Feilin Han
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  44. VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding
    NeurIPS 2024 ·
    Houlun Chen
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  45. VTimeLLM: Empower LLM to Grasp Video Moments
    CVPR 2024 ·
    Bin Huang
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