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Zixuan Yuan

(袁子轩)

Assistant Professor
FinTech Thrust,
HKUST (GZ)
E3（C9）L5 502
zixuanyuan@hkust-gz.edu.cn
yuanzx33033@gmail.com


Short Bio

Zixuan Yuan​ is currently an Assistant Professor at the FinTech Thrust, HKUST (Guangzhou). His research integrates advanced AI methodologies​ with critical financial challenges, focusing on developing scalable and impactful solutions for AI-driven wealth management, quantitative trading, and regulatory technology (RegTech). His primary research interests include Financial Text Analytics, LLM Reasoning, Agentic Orchestration, Cost-effective Vertical RAG, and Model Interpretability. Dr. Yuan has published 20+ papers in premier venues, including IEEE TKDE, IEEE IOTJ, ACM SIGKDD, SIGIR, WWW, AAAI, and IJCAI. His work bridges theoretical innovation and practical deployment through industrial collaborations with leading tech/financial institutions, such as Baidu Research, IBM Research, RavenPack, HSBC, CITIC Group, and China Merchants Fund Management. Dr. Yuan has also co-founded Guangzhou Lingyue Technology, an AI-powered wealth management startup that translates cutting-edge AI research into commercial applications for institutional and individual investors.

Multiple positions are available for self-motivated Ph.D. students and RAs. Visiting students are also welcome. Please check here for more information. Thanks!

Research Interest:

Education

Teaching

Conference PC Member & Reviewer

Journal Reviewer

News

Publications [Google Scholar][ResearchGate]


* means equal contribution.
† means corresponding authors.

  1. KDD 2026 (Datasets and Benchmarks Track)
    Compliance-to-Code： Enhancing Financial Compliance Checking via Code Generation
    Siyuan Li, Jian Chen, Rui Yao, Xuming Hu, Peilin Zhou, Weihua Qiu, Simin Zhang, Chucheng Dong, Zhiyao Li, Qipeng Xie, Zixuan Yuan†
    The 32th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    PDF Accepted
  2. EMNLP 2025
    DeKeyNLU：Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction
    Jian Chen, Zhenyan Chen, Xuming Hu, Peilin Zhou, Yining Hua, Han Fang, Cissy Hing Yee Choy, Xinmei Ke, Jingfeng Luo, Zixuan Yuan†
    Findings of the Association for Computational Linguistics：EMNLP 2025
    PDF Published
  3. KDD 2025 (Datasets and Benchmarks Track)
    ClimateIQA：A New Dataset and Benchmark to Advance Vision-Language Models in Meteorology Anomalies Analysis
    Jian Chen, Peilin Zhou, Yining Hua, Dading Chong, Meng Cao, Yaowei Li, Wei Chen, Bing Zhu, Junwei Liang†, Zixuan Yuan†
    The 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    Website Published
  4. WINE 2024
    The Impact of Generative Artificial Intelligence on Market Equilibrium：Evidence from a Natural Experiment
    Kaichen Zhang,Zixuan Yuan, Hui Xiong†
    The 20th Conference on Web and Internet Economics
    PDF Published
  5. KDD 2024 (Research Track)
    Killing Two Birds with One Stone：Cross-modal Reinforced Prompting for Graph and Language Tasks
    Wenyuan Jiang*, Wenwei Wu*, Le Zhang*, Zixuan Yuan†, Jian Xiang, Jingbo Zhou, Hui Xiong†
    The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    Website Published
  6. KDD 2024 (Research Track)
    Optimized Cost Per Click in Online Advertising：A Theoretical Analysis
    Kaichen Zhang, Zixuan Yuan, Hui Xiong†
    The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    Published
  7. IJCAI 2024
    R2V-MIF：Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation
    Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao
    The 33rd International Joint Conference on Artificial Intelligence
    Published
  8. AAAI 2024
    Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification
    Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong†
    The 38th Annual AAAI Conference on Artificial Intelligence
    PDF BibTex Website Published
  9. TKDE 2023
    LEVER：Online Adaptive Sequence Learning Framework for High-Frequency Trading
    Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong†
    IEEE Transactions on Knowledge and Data Engineering
    PDF BibTex Website Published
  10. ICAIF 2023
    Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis
    Zixuan Yuan, Yada Zhu, Wei Zhang, Hui Xiong†
    The 4th ACM International Conference on AI in Finance
    PDF BibTex Website Published
  11. INFORMS 2022
    AlphaVC：A Reinforcement Learning-based Venture Capital Investment Strategy
    Ziyuan Xuan*, Denghui Zhang*, Hao Zhong, Shengming Zhang, Hui Xiong†
    INFORMS Workshop on Data Science 2022
    PDF BibTex Website Published
  12. AAAI 2022
    Learning to Walk with Dual Agents for Knowledge Graph Reasoning
    Denghui Zhang*, Zixuan Yuan*, Hao Liu, Xiaodong Lin, and Hui Xiong†
    In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence
    PDF BibTex Website Published
  13. TKDE 2022
    Multi-Faceted Knowledge-Driven Pre-training for Product Representation Learning
    Denghui Zhang*, Yanchi Liu†, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong†
    IEEE Transactions on Knowledge and Data Engineering
    PDF BibTex Website Published
  14. AAAI 2022
    Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling
    Zixuan Yuan, Hao Liu†, Renjun Hu, Denghui Zhang, and Hui Xiong†
    In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence
    PDF BibTex Website Published
  15. WWW 2021
    Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching
    Zixuan Yuan, Hao Liu†, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, and Hui Xiong†
    In Proceedings of the 28th World Wide Web Conference
    PDF BibTex Website Published
  16. KDD 2021 (Research Track)
    Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment
    Denghui Zhang*, Zixuan Yuan, Yanchi Liu†, Hao Liu, Zuohui Fu, Fuzhen Zhuang, Hui Xiong†, and Haifeng Chen
    The 27rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021) (Research Track)
    PDF BibTex Website Published
  17. KDD 2021 (Research Track)
    Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups
    Shengming Zhang*, Hao Zhong, Zixuan Yuan, and Hui Xiong†
    The 27rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021) (Research Track)
    PDF BibTex Website Published
  18. IEEE 2021
    Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IOT
    Zekai Chen, Dingshuo Chen, Xiao Zhang†, Zixuan Yuan, and Xiuzhen Cheng
    IEEE Internet of Things Journal 2021
    PDF BibTex Website Published
  19. WWW 2021
    E-BERT：Adapting BERT to E-commerce with Adaptive Hybrid Masking and Neighbor Product Reconstruction
    Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong†
    In Proceedings of the 28th World Wide Web Conference
    PDF BibTex Website Published
  20. SIGIR 2020
    Spatio-Temporal Dual Graph Attention Network for Query-POI Matching
    Zixuan Yuan*, Hao Liu*†, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, and Hui Xiong†
    Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 629-638. 2020.
    PDF BibTex Website Published

Prospective Students

Contact

Address: HKUST (GZ)
Office Location: E3（C9）L5 502
Email: zixuanyuan@hkust-gz.edu.cn