Zhitao WANG

Senior Researcher at WeChat Pay ยท wztzenk@gmail.com

Dr. Wang now is a senior researcher at WeChat Pay. He received his PhD degree in computer science from The Hong Kong Polytechnic University, and his BSc, MSc degrees in computer science from Northwestern Polytechnical University. His research interests mainly include information diffusion modeling, graph learning and recommendation. Dr. Wang has published 20+ papers in prestigious venues, including TKDE, TNNLS, TKDD, TAC, SIGIR, IJCAI, AAAI, WWW, KDD, UbiComp, CIKM, COLING, etc.

Work Experience

Senior Researcher

WeChat Pay, Tencent

Applied research on LLM for software engineering, e.g., LLM-based code generation, requirement engineering and automated testing.

Applied research on graph learning for various financial scenarios, e.g., transcation fraud detection and credit risk prediction.

May 2020 - Present

Education

The Hong Kong Polytechnic University

Ph.D, Computing
Research Topics: Information Diffusion, Graph Embedding, Recommendation

Supervised by Prof. Wenjie Li

August 2015 - March 2020

Northwestern Polytechnical University

Master of Engineering, Computer Technology
Research Topics: Sentiment Analysis, Text Mining

Supervised by Prof. Zhiwen Yu

September 2012 - May 2015

Northwestern Polytechnical University

Bachelor of Engineering, Computer Science and Technology
Undergraduate Thesis: Context-Aware Personalized Web Browsing for Mobile Platform
September 2008 - July 2012

Publications

Preprints

  • New! Zhitao Wang, et al. "XUAT-Copilot: Multi-Agent Collaborative System for Automated User Acceptance Testing with Large Language Model". (2024) [Paper]
  • Zhitao Wang, et al. "Pairwise Learning for Neural Link Prediction". (Two Top 1 & One Top 2 scores on OGB link prediction benchmark until 2021) (2021) [Paper][Code]

Journal

  • Zhitao Wang, Wenjie Li, Hanjing Su. "Hierarchical Attention Link Prediction Neural Network", Knowledge-Based Systems. (KBS) (2021) [Paper] [Code]
  • Zhitao Wang, Yu Lei, Wenjie Li. "Neighborhood Attention Networks with Adversarial Learning for Link Prediction", IEEE Transactions on Neural Networks and Learning Systems. (TNNLS) (2020) [Paper]
  • Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei and Quanyu Dai. "Social Attentive Deep Q-networks for Recommender Systems", IEEE Transactions on Knowledge and Data Engineering. (TKDE) (2020) [Paper]
  • Zhitao Wang, Chengyao Chen, Wenjie Li. "Joint Learning of User Representation with Diffusion Sequence and Network Structure", IEEE Transactions on Knowledge and Data Engineering. (TKDE) (2020) [Paper]
  • Zhitao Wang, Chengyao Chen, Wenjie Li. "Information Diffusion Prediction with Network Regularized Role-based User Representation Learning", ACM Transactions on Knowledge Discovery from Data (TKDD) (2019) [Paper]
  • Chengyao Chen, Zhitao Wang, Wenjie Li. "Tracking Dynamics of Opinion Behaviors with a Content-based Sequential Opinion Influence Model", IEEE Transactions on Affective Computing (TAC) (2018) [Paper]
  • Zhiwen Yu, ZhitaoWang, Liming Chen, Bin Guo, Wenjie Li. "Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-blog", ACM Transactions on Knowledge Discovery from Data (TKDD) 10, no. 4 (2016): 48. [Paper]

Conference

  • New! Jiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui. "Analyzing Online Transaction Networks with Network Motifs", The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022. (KDD'22) [Paper]
  • Yanran Li, Wenjie Li, Zhitao Wang. "Graph-Structured Context Understanding for Knowledge-grounded Response Generation", The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021. (SIGIR'21) [Paper]
  • Zhitao Wang, Yu Lei, Wenjie Li. "Neighborhood Interaction Attention Network for Link Prediction", The 28th ACM International Conference on Information and Knowledge Management, 2019. (CIKM'19) [Paper]
  • Zhitao Wang, Wenjie Li. "Hierarchical Diffusion Attention Network", The 27th International Joint Conference on Artificial Intelligence, 2019. (IJCAI'19) [Paper][Code]
  • Yu Lei, Zhitao Wang, Wenjie Li. "Social Attentive Deep Q-network for Recommendation. ", The 42th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019. (SIGIR'19) [Paper]
  • Zhitao Wang, Chengyao Chen, Ke Zhang, Yu Lei, Wenjie Li. "Variational Recurrent Model for Session-based Recommendation", The 2018 ACM International Conference on Information and Knowledge Management, 2018. (CIKM'18) [Paper]
  • Zhitao Wang*, Chengyao Chen*, Wenjie Li. "A Sequential Neural Information Diffusion Model with Structure Attention", The 2018 ACM International Conference on Information and Knowledge Management, 2018. (CIKM'18) (* Equal Contribution) [Paper][Code]
  • Zhitao Wang, Chengyao Chen, Wenjie Li. "Attention Network for Information Diffusion Prediction", The 27th International Conference on World Wide Web, the Web Conference, 2018. (WWW'18) [Paper]
  • Zhitao Wang*, Chengyao Chen*, Wenjie Li. "Modeling Scientific Influence for Research Trending Topic Prediction", The Thirty-Second AAAI Conference on Artificial Intelligence, 2018. (AAAI'18) (* Equal Contribution) [Paper]
  • Zhitao Wang, Chengyao Chen, Wenjie Li. "Predictive Network Representation Learning for Link Prediction", The 40th International ACM SIGIR Conference on Research and Development inInformation Retrieval, 2017. (SIGIR'17) [Paper][Code]
  • Chengyao Chen, Zhitao Wang, Wenjie Li. "Modeling Opinion Influence with User Dual Identity", The 26th ACM International Conference on Information and Knowledge Management, 2017. (CIKM'17) [Paper]
  • Chengyao Chen, Zhitao Wang, Yu Lei and Wenjie Li. "Content-based Influence Modeling for Opinion Behavior Prediction", The 26th International Conference on Computational Linguistics, 2016. (COLING'16) [Paper]
  • Zhitao Wang, Zhiwen Yu, Liming Chen, Bin Guo. "Sentiment Detection and Visualization of Chinese Micro-blog", The International Conference on Data Science and Advanced Analytics, 2014. (DSAA'14) [Paper]
  • Zhitao Wang, Zhiwen Yu, Zhu Wang, Bin Guo. "Investigating Sentiment Impact on Information Propagation and Its evolution in Microblog", The International Conference on Behavior, Economic and Social Computing, 2014. (BESC'14) [Paper]
  • Rong Du, Zhiwen Yu, Tao Mei, Zhitao Wang, Zhu Wang, Bin Guo. "Predicting Activity Attendance in Event-Based Social Networks: Content, Context and Social Influence", The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014. (UbiComp'14) [Paper]

Professional Services

Journal Reviewer

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • ACM Transactions on Information Systems (TOIS)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • ACM Transactions on Intelligent Systems and Technology (TIST)
  • Knowledge Based Systems
  • Scientific Reports

Conference Reviewer

  • International Joint Conferences on Artificial Intelligence (IJCAI)
  • The Conference on Empirical Methods in Natural Language Processing (EMNLP)
  • The International Conference on Computational Linguistics (COLING)

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