Zenglin Xu

Venues

Frequent coauthors

Papers

1. CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning
   ACL 2026 ·

   Zhuo Wang

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2. End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning
   ACL 2026 ·

   Guanzhong Chen

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3. FL@FM-TheWebConf'26: The 3rd International Workshop on Federated Foundation Models for the Web
   WWW 2026 ·

   Irwin King

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4. GRAND: A Robust Diffusion Framework for Multi-Granularity Graph Anomaly Detection in Web Platforms
   WWW 2026 ·

   Maolin Wang

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5. Renormalization Group Guided Tensor Network Structure Search
   AAAI 2026 ·

   Maolin Wang

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6. A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions
   COLT 2025 ·

   Junfan Li

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7. CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference
   ACL 2025 ·

   Jinglong Luo

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8. Efficient Network Automatic Relevance Determination
   ICML 2025 ·

   Hongwei Zhang

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9. FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025
   WWW 2025 ·

   Irwin King

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10. FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making
    EMNLP 2025 ·

    Jiaxiang Chen

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11. FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
    SIGKDD 2025 ·

    Maolin Wang

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12. From Implicit Exploration to Structured Reasoning: Guideline and Refinement for LLMs
    EMNLP 2025 ·

    Jiaxiang Chen

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13. GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping
    AAAI 2025 ·

    Bang An

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14. IDInit: A Universal and Stable Initialization Method for Neural Network Training
    ICLR 2025 ·

    Yu Pan

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15. InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
    NeurIPS 2025 ·

    Liangjian Wen

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16. MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
    ACM MM 2025 ·

    Ziliang Gan

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17. Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
    ICML 2025 ·

    Langzhang Liang

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18. NEXUS-O: An Omni-Perceptive and -Interactive Model for Language, Audio, and Vision
    ACM MM 2025 ·

    Che Liu

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19. On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
    AISTATS 2025 ·

    Dun Zeng

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20. Position: LLMs Can be Good Tutors in English Education
    EMNLP 2025 ·

    Jingheng Ye

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21. Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models
    SIGIR 2025 ·

    Yuanzhao Zhai

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22. RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching
    NeurIPS 2025 ·

    Wenzhe Ouyang

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23. A Systematic Survey on Federated Semi-supervised Learning
    IJCAI 2024 ·

    Zixing Song

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24. CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System
    CSCW 2024 ·

    Ge Fan

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25. Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks
    AAAI 2024 ·

    Junjie Chen

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26. EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction
    EMNLP 2024 ·

    Li Yang

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27. FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web
    WWW 2024 ·

    Irwin King

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28. FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling
    WWW 2024 ·

    Zhihan Guo

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29. FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering
    NAACL 2024 ·

    Zhihan Guo

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30. Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy
    IJCAI 2024 ·

    Shiyu Liu

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31. M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
    EMNLP 2024 ·

    Taowen Wang

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32. OctOcc: High-Resolution 3D Occupancy Prediction with Octree
    AAAI 2024 ·

    Wenzhe Ouyang

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33. On Diversified Preferences of Large Language Model Alignment
    EMNLP 2024 ·

    Dun Zeng

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34. On the Necessity of Collaboration for Online Model Selection with Decentralized Data
    NeurIPS 2024 ·

    Junfan Li

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35. Preparing Lessons for Progressive Training on Language Models
    AAAI 2024 ·

    Yu Pan

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36. SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
    ACL 2024 ·

    Jinglong Luo

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37. Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
    ICML 2024 ·

    Langzhang Liang

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38. Tensorized Hypergraph Neural Networks
    SDM 2024 ·

    Maolin Wang

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39. XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection
    ACL 2024 ·

    Yuanhang Yang

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