Heng Chang

Venues

Frequent coauthors

Papers

1. Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations
   WWW 2026 ·

   Zerui Chen

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2. Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recommendation
   SIGIR 2026 ·

   Bokai Lin

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3. From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph Reasoning
   ACL 2026 ·

   Guo Tang

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4. GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning
   WWW 2026 ·

   Chuanyue Yu

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5. RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems
   WSDM 2026 ·

   Ke Cheng

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6. UNO! UNified Offline Training Paradigm for Learning Path Recommendation
   AAAI 2026 ·

   Linzhi Peng

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7. Advancing Graph Foundation Models: A Data-Centric Perspective
   SIGKDD 2025 ·

   Yuhan Li

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8. Controllable Flow Matching for 3D Contrast-Enhanced Brain MRI Synthesis from Non-contrast Scans
   MICCAI 2025 · Heng Chang
9. Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
   NeurIPS 2025 ·

   Shiji Zhou

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10. Flexibly Distilled 3D Rectified Flow with Anatomical Constraints for Developmental Infant Brain MRI Prediction
    MICCAI 2025 ·

    Haifeng Wang

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11. From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities
    ACL 2025 ·

    Shixin Jiang

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12. G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
    WWW 2025 ·

    Yuhan Li

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13. Heterophilic Graph Neural Networks Optimization with Causal Message-passing
    WSDM 2025 ·

    Botao Wang

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14. Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering
    ICML 2025 ·

    Xin Yang

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15. How do Language Models Reshape Entity Alignment? A Survey of LM-Driven EA Methods: Advances, Benchmarks, and Future
    EMNLP 2025 ·

    Zerui Chen

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16. On the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction
    SIGKDD 2025 ·

    Ke Cheng

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17. One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments
    ACL 2025 ·

    Ke Yi

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18. PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis
    AAAI 2025 ·

    Yifan Xie

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19. ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters
    AAAI 2025 ·

    Xunzhi Xiang

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20. Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling
    WWW 2025 · Heng Chang
21. Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
    AAAI 2025 ·

    Yongliang Wu

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22. VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism
    ACL 2025 ·

    Congzhi Zhang

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23. CodeSwap: Symmetrically Face Swapping Based on Prior Codebook
    ACM MM 2024 ·

    Xiangyang Luo

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24. Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation
    CIKM 2024 ·

    Tian Bian

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25. Hyperbolic Contrastive Learning for Cross-Domain Recommendation
    CIKM 2024 ·

    Xin Yang

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26. Path-based Explanation for Knowledge Graph Completion
    SIGKDD 2024 · Heng Chang
27. QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
    ICLR 2024 ·

    Yuhui Xu

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28. Reusing Transferable Weight Increments for Low-resource Style Generation
    EMNLP 2024 ·

    Chunzhen Jin

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29. Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
    SIGKDD 2024 ·

    Beini Xie

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30. Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering
    EMNLP 2024 ·

    Chang Zong

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