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Yongqi ZHANG

Assistant Professor in DSA, HKUST(GZ).

Pre-print papers and published papers in journals and conferences are listed here. Corresponding authors are marked with *, and equal contributions are noted with underlines.
More information can be found in my Google Scholar page.

Pre-prints

  1. Zhenqian Shen, Yongqi Zhang, Lanning Wei, Huan Zhao and Quanming Yao*. Automated Machine Learning: A Survey From Principles to Practices.

Journals

  1. Tianhao Peng, Haitao Yuan*, Yongqi Zhang, Yuchen Li, Peihong Dai, Qunbo Wang, Senzhang Wang, Wenjun Wu*. TagRec: Temporal-Aware Graph Contrastive Learning with Theoretical Augmentation for Sequential Recommendation. TKDE 2025.
  2. Quanming Yao*, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang. Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks AI Magazine 2024.
  3. Shimin Di, Yongqi Zhang*, Quanming Yao, Xiaofang Zhou and Lei Chen. Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases. ACM TKDD 2024.
  4. Mingze Gong, Yongqi Zhang*, Jia Li and Lei Chen. Dynamic Spatial-Temporal Model for Carbon Emission Forecasting. Journal of Cleaner Production (IF 11.1) 2024. code
  5. Xiang Li, Yongqi Zhang, Lei Chen, Jia Li and Xiaowen Chu*. A Decomposition-Ensemble-Integration Framework for Carbon Price Forecasting. Expert Systems With Applications (IF 13.8) 2024.
  6. Yongqi Zhang, Quanming Yao*, LinYue, XianWu, Ziheng Zhang, Zhenxi Lin and Yefeng Zheng. EmerGNN: Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. Nature Computational Science 2023. code
  7. Yongqi Zhang, Quanming Yao* and James T. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. IEEE TPAMI 2023. code
  8. Yongqi Zhang, Quanming Yao* and Lei Chen. Simple and Automated Negative Sampling for Knowledge Graph Embedding. VLDB-Journal 2021. code

Conferences

  1. Xinyi Zhu, Yongqi Zhang*, Lei Chen. OpenMEL: Unsupservised Multimodal Entity Linking Using Noise-Free Expanded Queries and Global Coherence. VLDB 2025.
  2. Junjie Jiang, Haodong Wu, Yongqi Zhang*, Songyue Guo, Bingcen Liu, Caleb Chen Cao, Ruizhe Shao, Chao Guan, Peng Xu, Lei Chen. ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry. ACL industry track 2025.
  3. Tong Li, Jiachuan Wang, Yongqi Zhang*, Shuangyin Li, Lei Chen. Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning. KDD 2025.
  4. Yuchen Li, Hao Zhang, Yongqi Zhang*, Hengyi Cai, Mingxin Cai, Shuaiqiang Wang, Haoyi Xiong*, Linghe Kong*, Dawei Yin*, Lei Chen. RankExpert: A Mixture of Textual-and-Behavioral Experts for Multi-Objective Learning-to-Rank in Web Search. KDD ADS track 2025
  5. Yuchen Li, Haoyi Xiong*, Yongqi Zhang*, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong*, Dawei Yin*. RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. KDD ADS track 2025.
  6. Yuchen Li, Hao Zhang, Yongqi Zhang*, Xinyu Ma, Wenwen Ye, Naifei Song, Shuaiqiang Wang, Haoyi Xiong*, Dawei Yin*, Lei Chen. M2oERank: Multi-objective Mixture-of-Experts Enhanced Ranking for Satisfaction-oriented Web Search. ICDE industry track 2025.
  7. Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao*. Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering. CPAL 2025. code
  8. Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao and Bo Han*. Less is more: One-shot-subgraph Link Prediction on Large-Scale Knowledge Graph. ICLR 2024. code
  9. Haiquan Qiu, Yongqi Zhang, Yong Li and Quanming Yao*. Understanding Expressivity of GNN in Rule Learning. ICLR 2024. code
  10. Yuhong He, Yongqi Zhang, Shuzhi He and Jun Wan*. BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation. LREC-COLING 2024.
  11. Guangyi Liu, Quanming Yao, Yongqi Zhang* and Lei Chen. Knowledge-Enhanced Recommendation with User-Centric Subgraph Network. ICDE 2024. code
  12. Xinyi Zhu, Yongqi Zhang*, Lei Chen and Kai Chen. Triple-d: Denoising Distant Supervision for High-quality Data Creation. ICDE 2024. code
  13. Fuda Ye, Shuangyin Li*, Yongqi Zhang and Lei Chen. R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation. Findings of EMNLP 2024.
  14. Fangqi Zhu, Yongqi Zhang*, Lei Chen, Bing Qin and Ruifeng Xu*. Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. EMNLP 2023. code
  15. Ling Yue, Yongqi Zhang, Quanming Yao*, XianWu, Ziheng Zhang, Zhenxi Lin and Yefeng Zheng. Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP 2023. code
  16. Yongqi Zhang, Zhanke Zhou, Quanming Yao*, Xiaowen Chu and Bo Han. Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning. KDD 2023. code
  17. Hansi Yang, Yongqi Zhang, Quanming Yao and James T. Kwok. Positive-Unlabeled Node Classification with Structure-aware Graph Learning. CIKM 2023.
  18. Yongqi Zhang, Hui Zhang, Quanming Yao and Jun Wan*. Combining Self-Supervised and Supervised Learning with Noisy Labels. ICIP 2023.
  19. Yongqi Zhang and Quanming Yao*. Knowledge Graph Reasoning with Relational Directed Graph. WebConf 2022. code
  20. Yongqi Zhang, Zhanke Zhou, Yong Li and Quanming Yao*. KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning. ACL 2022. code
  21. Shimin Di, Quanming Yao*, Yongqi Zhang and Lei Chen. Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. ICDE 2021. code
  22. Yongqi Zhang, Quanming Yao* and Lei Chen Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020. code
  23. Yongqi Zhang, Quanming Yao*, Wenyuan Dai and Lei Chen. AutoSF: Searching Scoring Functions for Knowledge Graph Embedding. ICDE 2020. code
  24. Yongqi Zhang, Quanming Yao*, Yingxia Shao and Lei Chen. NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding. ICDE 2019. code