I am currently a fourth-year Ph.D. candidate, under the advisory of Prof. Defu Lian, at the School of Data Science, University of Science and Technology of China (USTC). I got my B.S. degree from the Fuzhou University in 2018.

My research interests include data mining, especially on recommender System Security.

📝 Publications

1. Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Attacking Social Media via Behavior Poisoning. ACM Transactions on Knowledge Discovery from Data. (TKDD)
2. Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao, Boosting factorization machines via saliency-guided mixup. IEEE Transactions on Pattern Analysis and Machine Intelligence. (TPAMI)
3. Chaoqun Su, Chenwang Wu, Defu Lian, GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction. ECAI 2023 (ECAI2023)
4. Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen, A Causality Inspired Framework for Model Interpretation. The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD2023)
5. Chenwang Wu, Leyan Deng, Zhihao Zhu, Defu Lian, Co-visitation Meets Token Alignment for Next Product Title Generation. Amazon KDD Cup 2023 Workshop.
6. Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
7. Qingyang Wang⁺, Chenwang Wu⁺, Defu Lian, Enhong Chen, Securing Recommender System via Cooperative Training. World Wide Web. (WWWJ)
8. Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen, Membership Inference Attacks Against Sequential Recommender Systems. The ACM Web Conference 2023. (WWW2023)
9. Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen, Towards robust recommender systems via triple cooperative defense. International Conference on Web Information Systems Engineering 2022. (WISE2022, best paper)
10. Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen, Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. Joint European Conference on Machine Learning and Knowledge Discovery in Databases 2022. (PKDD 2022)
11. Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, et al., Traffic4cast at NeurIPS 2022–Predict dynamics along graph edges from sparse node data: Whole city traffic and ETA from stationary vehicle detectors. NeurIPS 2022 Competition Track.
12. Wenjian Luo, Chenwang Wu, Li Ni, Nan Zhou, Zhenya Zhang, Detecting adversarial examples by positive and negative representations. Applied Soft Computing.
13. Leyan Deng, Chenwang Wu, Defu Lian, Yongji Wu, Enhong Chen, Markov-driven graph convolutional networksfor social spammer detection. IEEE Transactions on Knowledge and Data Engineering. (TKDE)
14. Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen, Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy. Advances in Neural Information Processing Systems 2022. (NeurIPS2022)
15. Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Triple adversarial learning for influence based poisoning attack in recommender systems. The 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. (KDD2021)
16. Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan, Fight fire with fire: towards robust recommender systems via adversarial poisoning training. the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR2021)
17. Chenwang Wu, Wenjian Luo, Nan Zhou, Peilan Xu, Tao Zhu, Genetic algorithm with multiple fitness functions for generating adversarial examples. 2021 IEEE Congress on Evolutionary Computation (CEC2021).
18. Hao Jiang, Wenjian Luo, Binyao Duan, Chenwang Wu, Enhancing the privacy of negative surveys using negative combined categories. Applied Soft Computing.
19. Yu Chen, Youshen Xia, Chenwang Wu, A crop-based multi-branch network for matching cost computation. 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics. (CISP-BMEI 2018).

    Note: ⁺ indicates these authors contributed equally to this work.

🎖 Honors and Awards

• 2023.10 Guorui Scholarship
• 2023.07 KDD CUP 2023 Track 3: Next Product Generation - Second Place
• 2022.11 NeurIPS 2022 Traffic4cast Track 1: Congestion Classes Prediction - First Place
• 2022.11 NeurIPS 2022 Traffic4cast Track 2: Travel Time Prediction - First Place
• 2021.10 National Scholarship
• 2021.07 KDD CUP 2021 Track 1: Multi-Dataset Time Series Anomaly Detection - Ninth Place
• 2020.07 KDD CUP 2020 Track 2: Graph Adversarial Attack & Defense - Third Place
• 2023, 2021, 2019, 2018 The First-Class Scholarship
• 2022, 2020 The Second-Class Scholarship

📖 Educations

• 2020.09 - 2024.06 (now), Ph.D. student, School of Data Science, University of Science and Technology of China. Advised by Prof. Defu Lian.
• 2018.09 - 2020.06, Master, School of Computer Science and Technology, University of Science and Technology of China. Advised by Prof. Wenjian Luo.
• 2014.09 - 2018.06, Bachelor, College of Mathematics and Computer Science, Fuzhou University.

💻 Internships

• 2022.06 - 2023.06, Social computing Group, Microsoft Research Asia.
  • Design a fast and reliable interpretable method for black box models
  • Assess higher-order thinking of GPT based on psychological technology
  • Mentor: Xiting Wang

⏳ Professional Services

• PC member, ICLR 2024
• PC member, KDD 2024, 2023
• PC member, AAAI 2023
• PC member, CIKM 2023, 2022
• PC member, SDM, 2023
• PC member, ECML-PKDD 2023
• PC member, WWW 2022
• Reviewer of IEEE Transactions on Knowledge and Data Engineering
• Reviewer of ACM Transactions on Information Systems
• Reviewer of World Wide Web Journal
• Reviewer of Journal of Computer Research and Development
• Reviewer of Journal of Data Science and Analytics