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Zijian Zhang

City University of Hong Kong, School of Data Science, Hong Kong

29 papers at tracked venues · 25 at CORE A* · active 2024–2026

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Venues

AAAI ×8WWW ×6SIGKDD ×5SIGIR ×3NeurIPS ×2CIKM ×1ICCV ×1ICDM ×1IJCAI ×1RecSys ×1

Frequent coauthors

Chunxu Zhang
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Tongshun Zhang
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Qidong Liu
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Yuanshao Zhu
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Ziru Liu
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Juncheng Hu
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Wenlin Zhang
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Chengyang Zhou
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Minlan Shao
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Pingping Liu
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Xiao Han
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Mingyuan Xia
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Papers

  1. Beyond Illumination: Fine-Grained Detail Preservation in Extreme Dark Image Restoration
    AAAI 2026 ·
    Tongshun Zhang
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  2. Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization
    AAAI 2026 ·
    Yuanshao Zhu
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  3. Breaking the Passive Learning Trap: An Active Perception Strategy for Human Motion Prediction
    AAAI 2026 ·
    Juncheng Hu
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  4. Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing
    SIGKDD 2026 ·
    Wenlin Zhang
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  5. FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction
    WWW 2026 ·
    Chengyang Zhou
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  6. HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting
    AAAI 2026 ·
    Minlan Shao
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  7. LLM-Enhanced Web-Centric Spatio-Temporal Intelligence: Methods, Applications, and Frontier Research
    WWW 2026 · Zijian Zhang
  8. SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration
    AAAI 2026 ·
    Tongshun Zhang
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  9. SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation
    WWW 2026 ·
    Chunxu Zhang
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  10. UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling
    WWW 2026 ·
    Pingping Liu
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  11. Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
    SIGIR 2025 ·
    Qidong Liu
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  12. CWNet: Causal Wavelet Network for Low-Light Image Enhancement
    ICCV 2025 ·
    Tongshun Zhang
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  13. GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
    AAAI 2025 ·
    Xiao Han
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  14. LLM-Powered User Simulator for Recommender System
    AAAI 2025 · Zijian Zhang
  15. Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends
    SIGKDD 2025 ·
    Qidong Liu
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  16. Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
    AAAI 2025 ·
    Chunxu Zhang
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  17. TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
    NeurIPS 2025 ·
    Mingyuan Xia
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  18. Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era
    WWW 2025 · Zijian Zhang
  19. Bi-Level User Modeling for Deep Recommenders
    ICDM 2024 ·
    Yejing Wang
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  20. ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
    SIGKDD 2024 ·
    Yuanshao Zhu
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  21. DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
    RecSys 2024 ·
    Sheng Zhang
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  22. Efficient and Robust Regularized Federated Recommendation
    CIKM 2024 ·
    Langming Liu
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  23. Federated Adaptation for Foundation Model-based Recommendations
    IJCAI 2024 ·
    Chunxu Zhang
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  24. GPFedRec: Graph-Guided Personalization for Federated Recommendation
    SIGKDD 2024 ·
    Chunxu Zhang
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  25. LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
    NeurIPS 2024 ·
    Qidong Liu
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  26. M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
    SIGIR 2024 · Zijian Zhang
  27. Modeling User Retention through Generative Flow Networks
    SIGKDD 2024 ·
    Ziru Liu
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  28. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
    SIGIR 2024 ·
    Ziru Liu
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  29. When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
    WWW 2024 ·
    Chunxu Zhang
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