All Stories

  1. Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning

    Article • April 2026, ACM (Association for Computing Machinery)

    jingyao wang, Changwen Zheng

  2. Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection

    Article • October 2025, ACM (Association for Computing Machinery)

    Changwen Zheng

  3. Not All Frequencies Are Created Equal: Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting

    Article • October 2024, ACM (Association for Computing Machinery)

    Changwen Zheng, Xingyu Zhang

  4. MSI: Multi-modal Recommendation via Superfluous Semantics Discarding and Interaction Preserving

    Article • May 2024, ACM (Association for Computing Machinery)

    Changwen Zheng

  5. Robust Hypergraph-Augmented Graph Contrastive Learning for Graph Self-Supervised Learning

    Article • March 2023, ACM (Association for Computing Machinery)

    Changwen Zheng

  6. GSGAN: Learning controllable geospatial images generation

    Article • IET Image Processing, September 2022, the Institution of Engineering and Technology (the IET)

    Changwen Zheng, Quan Zheng

  7. Self-supervised Representation Learning for the Object Detection of Marine Radar

    Article • March 2022, ACM (Association for Computing Machinery)

    Changwen Zheng

  8. Better Goals, Better Policies: LLM-Driven Relabeling for Offline Goal-Conditioned Reinforcement Learning

    Article • International Foundation for Autonomous Agents and Multiagent Systems

    Changwen Zheng

  9. DR2: Revisiting Visual Reinforcement Learning from the Dimensional Analysis Perspective

    Article • International Foundation for Autonomous Agents and Multiagent Systems

    Changwen Zheng, Jinli Chen