All Stories

  1. Reinforcement learning for on-demand LLM retrieval and reasoning

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

    Heng Chang, Chuanyue Yu

  2. Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations

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

    Heng Chang

  3. RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems

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

    Heng Chang

  4. On the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction

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

    Heng Chang

  5. Advancing Graph Foundation Models: A Data-Centric Perspective

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

    Heng Chang

  6. Aligning Large Multimodal Model with Sequential Recommendation via Content-Behavior Guidance

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

    Heng Chang

  7. Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling

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

    Heng Chang

  8. G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation

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

    Linhao Luo, Heng Chang

  9. Heterophilic Graph Neural Networks Optimization with Causal Message-passing

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

    Heng Chang, Fugee Tsung

  10. Generative learning assisted state-of-health estimation for sustainable battery recycling with random retirement conditions

    Article • Nature Communications, November 2024, Springer Science + Business Media

    Heng Chang

  11. CodeSwap: Symmetrically Face Swapping Based on Prior Codebook

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

    Heng Chang

  12. Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation

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

    Heng Chang

  13. Hyperbolic Contrastive Learning for Cross-Domain Recommendation

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

    Heng Chang

  14. Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification

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

    Heng Chang

  15. Path-based Explanation for Knowledge Graph Completion

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

    Heng Chang, Alejo Lopez Avila

  16. Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification

    Article • IEEE Transactions on Knowledge and Data Engineering, May 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Heng Chang

  17. Knowledge Graph Completion with Counterfactual Augmentation

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

    Heng Chang

  18. Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach

    Article • IEEE Transactions on Big Data, February 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Heng Chang

  19. Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge

    Article • IEEE Transactions on Knowledge and Data Engineering, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Heng Chang

  20. Semi-Supervised Hierarchical Graph Classification

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Heng Chang

  21. Spectral Graph Attention Network with Fast Eigen-approximation

    Article • October 2021, ACM (Association for Computing Machinery)

    Heng Chang

  22. Power up! Robust Graph Convolutional Network via Graph Powering

    Article • Proceedings of the AAAI Conference on Artificial Intelligence, May 2021, Association for the Advancement of Artificial Intelligence (AAAI)

    Heng Chang

  23. A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models

    Article • Proceedings of the AAAI Conference on Artificial Intelligence, April 2020, Association for the Advancement of Artificial Intelligence (AAAI)

    Heng Chang