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Chengkai Huang

Ph.D. Student
UNSW Sydney
chengkai.huang1 (at) unsw.edu.au


About Me

Hi there! I am a Ph.D. candidate at Data Dynamics group, School of Computer Science and Engineering, the University of New South Wales (UNSW) since 2021. I am fortunate to be advised by Prof. Lina Yao.

Research Interests

News

Selected Publications

  1. SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes
    Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, Junda Wu, Chengkai Huang, Lina Yao, Julian McAuley and Jingbo Shang
    The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026.
    PDF

  2. MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning
    Juexiang Ye, Xue Li, Yang Xinyu, Chengkai Huang, Lanshun Nie, Lina Yao and Dechen Zhan
    The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026.
    PDF

  3. Factorized Latent Reasoning for LLM-based Recommendation
    Tianqi Gao*, Chengkai Huang*, Zihan Wang, Cao Liu, Ke Zeng and Lina Yao (*Equal first authors)
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2026.
    PDF

  4. Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG
    Xihang Wang, Zihan Wang, Chengkai Huang+, Cao Liu, Ke Zeng, Quan Z. Sheng and Lina Yao (+Corresponding author)
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2026.
    PDF

  5. Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation
    Xiaoxin Ye, Chengkai Huang+, Hongtao Huang, Lina Yao (+Corresponding author)
    The ACM Web Conference (WWW), 2026.
    PDF

  6. PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation
    Shuguang Jiao, Xinyu Xiao, Yunfan Wei, Shuhan Qi, Chengkai Huang+, Quan Z. Sheng, Lina Yao (+Corresponding author)
    The ACM Web Conference (WWW), 2026.
    PDF Code

  7. Dual Conditional Diffusion Models for Sequential Recommendation
    Hongtao Huang*, Chengkai Huang*, Tong Yu, Xiaojun Chang, Wen Hu, Julian McAuley, Lina Yao (*Equal first authors)
    The Nineteenth International Conference on Web Search and Data Mining (WSDM), 2026.
    PDF Code

  8. Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
    Hongtao Huang*, Chengkai Huang*, Junda Wu, Tong Yu, Julian McAuley and Lina Yao (*Equal first authors)
    The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
    PDF Code

  9. Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
    Ruhan Wang*, Zhiyong Wang*, Chengkai Huang*, Rui Wang, Tong Yu, Lina Yao, John C. S. Lui and Dongruo Zhou(*Equal first authors)
    Forty-Second International Conference on Machine Learning (ICML), 2025.
    PDF

  10. Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models
    Chengkai Huang*, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian McAuley and Lina Yao (*Corresponding authors)
    International Conference on Computational Linguistics (COLING), 2025.
    PDF

  11. Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation
    Chengkai Huang*, Shoujin Wang, Xianzhi Wang and Lina Yao (*Corresponding authors)
    International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023.
    PDF

  12. Modeling Temporal Positive and Negative Excitation for Sequential Recommendation
    Chengkai Huang*, Shoujin Wang, Xianzhi Wang and Lina Yao (*Corresponding authors)
    The ACM Web Conference (WWW), 2023.
    PDF

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