Published multiple papers in top conferences and journals, including: 'Data Dependency Inference for Industrial Code Generation Based on UML Sequence Diagrams' (preprint), 'XUAT-Copilot: Multi-Agent Collaborative System for Automated User Acceptance Testing with Large Language Model' (preprint), 'Pairwise Learning for Neural Link Prediction' (preprint), etc.
Research Experience
Senior Researcher at WeChat Pay since May 2020, focusing on applied research of LLM for software engineering, e.g., LLM-based code generation, requirement engineering, and automated testing; and graph learning for various financial scenarios, e.g., transaction fraud detection and credit risk prediction.
Education
Ph.D. in Computing from The Hong Kong Polytechnic University, supervised by Prof. Wenjie Li (August 2015 - March 2020); MSc in Computer Technology from Northwestern Polytechnical University, supervised by Prof. Zhiwen Yu (September 2012 - May 2015); BSc in Computer Science and Technology from Northwestern Polytechnical University (September 2008 - July 2012), Undergraduate Thesis: Context-Aware Personalized Web Browsing for Mobile Platform.
Background
Research interests mainly include information diffusion modeling, graph learning, and recommendation. Published 20+ papers in prestigious venues such as TKDE, TNNLS, TKDD, TAC, SIGIR, IJCAI, AAAI, WWW, KDD, UbiComp, CIKM, COLING, etc.