Xinyu Zhang

Venues

Frequent coauthors

Papers

1. Decoding-Unlearning: Fact Forgetting via Entropy-Guided Inference
   ACL 2026 ·

   Jingwen Pu

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2. From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting
   SIGKDD 2026 · Xinyu Zhang
3. Glyph: Scaling Context Windows via Visual-Text Compression
   ACL 2026 ·

   Jiale Cheng

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4. IntentMotion: Learning Intent-Aware Human Motion from Language in 3D Scenes
   AAAI 2026 ·

   Wenfeng Song

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5. K-STaR: Knowledge-Aware Self-Taught Reasoner
   AAAI 2026 ·

   Guozheng Li

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6. Multi-Hop Knowledge Editing via Critic-Guided Multi-Agent Reasoning
   ACL 2026 ·

   Xudong Li

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7. Perceptually Guided 3DGS Streaming and Rendering for Mixed Reality
   WACV 2026 ·

   Yunxiang Zhang

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8. Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting
   AAAI 2026 ·

   Pengfei Jia

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9. Adapting to Observation Length of Trajectory Prediction via Contrastive Learning
   CVPR 2025 ·

   Ruiqi Qiu

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10. Beyond the Surface: Measuring Self-Preference in LLM Judgments
    EMNLP 2025 ·

    Zhi-Yuan Chen

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11. Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation
    ACL 2025 · Xinyu Zhang
12. Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving
    ICRA 2025 · Xinyu Zhang
13. Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model
    ACL 2025 ·

    Luhao Zhang

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14. Exploring Multimodal Relation Extraction of Hierarchical Tabular Data with Multi-task Learning
    ACL 2025 · Xinyu Zhang
15. Failure Forecasting Boosts Robustness of Sim2Real Rhythmic Insertion Policies
    IROS 2025 ·

    Yuhan Liu

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16. Generalizing Experience for Language Agents with Hierarchical MetaFlows
    NeurIPS 2025 ·

    Shengda Fan

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17. HAC-LOCO: Learning Hierarchical Active Compliance Control for Quadruped Locomotion under Continuous External Disturbances
    IROS 2025 ·

    Xiang Zhou

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18. Learning Upright and Forward-Facing Object Poses using Category-level Canonical Representations
    IROS 2025 ·

    Bing Han

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19. NEAR: Neural Electromagnetic Array Response
    ICML 2025 ·

    Yinyan Bu

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20. PABBO: Preferential Amortized Black-Box Optimization
    ICLR 2025 · Xinyu Zhang
21. Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation
    NeurIPS 2025 ·

    Chenyang Jiang

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22. Revisit Self-Debugging with Self-Generated Tests for Code Generation
    ACL 2025 ·

    Xiancai Chen

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23. Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
    EMNLP 2025 ·

    Xiang Cheng

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24. Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning
    EMNLP 2025 ·

    Changshuo Zhang

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25. SCoder: Progressive Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs
    EMNLP 2025 · Xinyu Zhang
26. Scaling Diffusion Transformers Efficiently via μP
    NeurIPS 2025 ·

    Chenyu Zheng

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27. Smart Starts: Accelerating Convergence Through Uncommon Region Exploration
    GECCO 2025 · Xinyu Zhang
28. TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization
    AAAI 2025 ·

    Haoyuan Liang

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29. Towards Neurorobotic Interface for Finger Joint Angle Estimation: A Multi-Stage CNN-LSTM Network with Transfer Learning
    ICRA 2025 ·

    Yun Chen

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30. VLM-based Prompts as the Optimal Assistant for Unpaired Histopathology Virtual Staining
    ACM MM 2025 ·

    Zizhi Chen

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31. Backdoor Contrastive Learning via Bi-level Trigger Optimization
    ICLR 2024 ·

    Weiyu Sun

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32. DAP: Diffusion-based Affordance Prediction for Multi-modality Storage
    IROS 2024 ·

    Haonan Chang

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33. Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
    ICML 2024 · Xinyu Zhang
34. Denoising Long- and Short-term Interests for Sequential Recommendation
    SDM 2024 · Xinyu Zhang
35. Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection
    ECML-PKDD 2024 ·

    Jiashu Han

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36. Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition
    ECCV 2024 ·

    Yurong Zhang

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37. Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
    IJCAI 2024 ·

    Pengfei Shi

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38. FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting
    SIGKDD 2024 · Xinyu Zhang
39. HOIAnimator: Generating Text-Prompt Human-Object Animations Using Novel Perceptive Diffusion Models
    CVPR 2024 ·

    Wenfeng Song

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40. Knowledge Graph Efficient Construction: Embedding Chain-of-Thought into LLMs
    VLDB 2024 ·

    Jixuan Nie

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41. One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
    RSS 2024 · Xinyu Zhang
42. PA-LOCO: Learning Perturbation-Adaptive Locomotion for Quadruped Robots
    IROS 2024 ·

    Zhiyuan Xiao

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43. ParametricNet++: A 6DoF Pose Estimation Network with Sparse Keypoint Recovery for Parametric Shapes in Stacked Scenarios
    IROS 2024 ·

    Yihan Xie

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44. Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
    NeurIPS 2024 ·

    Lanqing Li

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