Yongjie Wang王永杰

Biography

I passed my oral defense in July 2023. I am now a research staff at School of Computer Science and Engineering at Nanyang Technological University, under supervision of Professor Miao Chunyan. Before that, I received Bachelor degree from college of software, Jilin university, and Master degree from Institute of computing technology, Chinese Academy of Sciences, advised by Professor Zhang Yongdong and Associate Professor Gao Ke.

My research interests include explainable artificial intelligence (XAI) (Git Repo) on healthcare and medical image computing. Recently, I am working on counterfactual explanations and feature attribution problems, which contain sub-problems as follows,

I am open and welcome to collaborate with researchers, who have similar interests in XAI. Feel free to drop me an email.

Publications (*: equal contribution)

• Yongjie Wang*, Xiaoqi Qiu*, Yu Yue, Xu Guo, Zhiwei Zeng, Yuhong Feng, Zhiqi Shen. A Survey on Natural Language Counterfactual Generation. ( Findings of EMNLP 2024 )
  
• Xiaoqi Qiu*, Yongjie Wang*, Xu Guo, Zhiwei Zeng, Yue Yu, Yuhong Feng, Chunyan Miao. PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning. The 62nd Annual Meeting of the Association for Computational Linguistics ( ACL 24 Main )
  
• Ruomei Wang, Wei Guo, Yongjie Wang , Xin Zhou, Jonathan Cyril Leung, Shuo Yan, Lizhen Cui. Hybrid Multimodal Fusion for Graph Learning in Disease Prediction. (Elsevier Method 2024)
  
• Yongjie Wang, Tong Zhang, Xu Guo, Zhiqi Shen. Gradient based Feature Attribution in Explainable AI: A Technical Review. (Arxiv Preprint 2024)
  
• Ruochen Zhao, Shafiq Joty, Yongjie Wang , Tan Wang. Explaining Language Models' Predictions with High-Impact Concepts. Findings of the Association for Computational Linguistics: EACL 2024
  
• Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao. Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. 32nd ACM International Conference on Information and Knowledge Management (CIKM' 2023)
  
• Yongjie Wang. Counterfactual Explanations for Machine Learning Models on Heterogeneous Data. 2023, Nanyang Technological University (PhD Thesis)
  
• Yongjie Wang, Ke Wang, Cheng Long, Chunyan Miao. Summarizing User-Item Matrix By Group Utility Maximization. 2023 ACM Transactions on Knowledge Discovery from Data ((TKDD' 2023), Extension work of ICDM'21)
  
• Yongjie Wang, Hangwei Qian and Chunyan Miao, DualCF: Efficient Model Extraction Attack from Counterfactual Explanations, ACM Conference on Fairness, Accountability, and Transparency 2022 (FAccT' 2022)
  
• Yongjie Wang , Qinxu Ding, Ke Wang, Yue Liu, Xingyu Wu, Jinglong Wang, Yong Liu and Chunyan Miao, The Skyline of Counterfactual Explanations for Machine Learning Decision Models, 30th ACM International Conference on Information and Knowledge Management (CIKM' 2021).
  
• Yongjie Wang , Ke Wang, Cheng Long, Chunyan Miao. Summarizing User-Item Matrix By Group Utility Maximization. 2021 IEEE International Conference on Data Mining (ICDM’21)
  
• Yong Luo, Huaizheng Zhang, Yongjie Wang , Yonggang Wen, and Xinwen Zhang. ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment. 2018 IEEE International Conference on Data Mining (ICDM'18)
  

Hobbies

Basketball (shooting guard), Badminton (中羽3级), Table Tennis, Tennis, Skiing, Running