Ziyu Wang

Venues

Frequent coauthors

Papers

1. Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment
   AAAI 2026 ·

   Yiming Du

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2. KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development?
   ACL 2026 ·

   Xue Jiang

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3. LRBench and Judge-R1: Principled Evaluation and Training of LLM-Based Judges for Long-Context Reasoning
   ACL 2026 ·

   Xinyi Zhao

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4. Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation
   ICML 2025 ·

   Tingyu Zhu

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5. Energy-based Deep Incomplete Multi-View Clustering
   ACM MM 2025 · Ziyu Wang
6. Enhancing Graph Transformers with SNNs and Mutual Information
   ECML-PKDD 2025 · Ziyu Wang
7. Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
   ICML 2025 ·

   Yike Yuan

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8. On Probabilistic Truncation in Privacy-preserving Machine Learning
   AAAI 2025 ·

   Lijing Zhou

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9. On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
   AISTATS 2025 · Ziyu Wang
10. Real-World Offline Reinforcement Learning from Vision Language Model Feedback
    IROS 2025 ·

    Sreyas Venkataraman

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11. Synthetic Video Enhances Physical Fidelity in Video Synthesis
    ICCV 2025 ·

    Qi Zhao

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12. Affine-based Deformable Attention and Selective Fusion for Semi-dense Matching
    CVPR 2024 ·

    Hongkai Chen

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13. DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference
    SIGKDD 2024 ·

    Shuliang Wang

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14. DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
    NeurIPS 2024 ·

    Weikang Wan

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15. Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning
    CVPR 2024 ·

    Ming Cheng

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16. Fast and Communication-Efficient Multi-UAV Exploration Via Voronoi Partition on Dynamic Topological Graph
    IROS 2024 ·

    Qianli Dong

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17. Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception
    NeurIPS 2024 ·

    Shuangpeng Han

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18. Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
    ICML 2024 ·

    Fabian Falck

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