Hengshu Zhu

Venues

Frequent coauthors

Papers

1. ARADD: An Automatic Real-World API Discovery and Deployment Framework for AI Guide Service in Baidu Map
   WWW 2026 ·

   Fuling Wang

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2. BOLT: Benchmarking Open-World Learning for Text Classification
   ACL 2026 ·

   Chuan Qin

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3. GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
   ACL 2026 ·

   Xi Chen

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4. TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery
   ACL 2026 ·

   Wenxi Xu

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5. From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation
   SIGKDD 2025 ·

   Zhenyu Tong

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6. KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph
   ACL 2025 ·

   Jinhao Jiang

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7. SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
   SIGKDD 2025 ·

   Chuan Qin

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8. Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework
   SIGKDD 2025 ·

   Xiao Han

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9. The 6th International Workshop on Talent and Management Computing (TMC 2025)
   SIGKDD 2025 · Hengshu Zhu
10. Towards Lifelong Model Editing via Simulating Ideal Editor
    ICML 2025 ·

    Yaming Guo

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11. Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach
    ICML 2025 ·

    Zhigaoyuan Wang

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12. A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
    AAAI 2024 ·

    Wenshuo Chao

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13. Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
    SIGKDD 2024 ·

    Xiao Han

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14. Collaboration-Aware Hybrid Learning for Knowledge Development Prediction
    WWW 2024 ·

    Liyi Chen

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15. DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis
    IJCAI 2024 ·

    Haiping Ma

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16. DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
    ICDM 2024 ·

    Xiaoshan Yu

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17. Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach
    AAAI 2024 ·

    Haiping Ma

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18. Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
    AAAI 2024 ·

    Yingpeng Du

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19. Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
    AAAI 2024 ·

    Likang Wu

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20. HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection
    WWW 2024 ·

    Haiping Ma

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21. Harnessing Large Language Models for Text-Rich Sequential Recommendation
    WWW 2024 ·

    Zhi Zheng

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22. Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
    NeurIPS 2024 ·

    Xi Chen

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23. MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment
    SIGIR 2024 ·

    Zhi Zheng

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24. Make Large Language Model a Better Ranker
    EMNLP 2024 ·

    Wenshuo Chao

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25. Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
    NeurIPS 2024 ·

    Hongzhan Lin

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26. OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation
    NeurIPS 2024 ·

    Yaming Guo

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27. Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
    IJCAI 2024 ·

    Xi Chen

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28. RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes
    SIGKDD 2024 ·

    Xiaoshan Yu

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29. Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
    SIGKDD 2024 ·

    Chen Yang

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30. The 5th International Workshop on Talent and Management Computing (TMC'2024)
    SIGKDD 2024 · Hengshu Zhu