Chen Wang (王琛) Associate Professor ACM / IEEE / CCF Senior Member School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan, Hubei, 430074 P.R. China

Email: dr.chen.wang@ieee.org (for research) chenwang@hust.edu.cn (for teaching)
Office: Room C-309, East #17 Building, HUST

Short Biography

I am currently an Associate Professor at School of Electronic Information and Communications (EIC), Huazhong University of Science and Technology (HUST), P. R. China. I obtained my B.S. and Ph.D. degrees from Department of Automation, Wuhan University (WHU), P. R. China, in 2008 and 2013, respectively. From Jun. 2013 to Jan. 2018, I was a Post-Doctoral Research Fellow at School of EIC, HUST, working with Prof. Hongbo Jiang. I am broadly interested in Internet of Things, computational intelligence, data mining, and mobile computing, with a recent focus on three major research fronts:

Adversarial patterns and countermeasures in machine learning.
Privacy enhancing technologies in distributed intelligent systems.
Big data analytics for geographical modelling, analysis and mining.

Openings. I am looking for highly self-motivated Ph.D./M.S. students who are strongly committed to cutting-edge research on the intersection of security, privacy and machine learning. Experienced in machine learning with solid background in programming is a big plus. If you are interested, drop me an email at dr.chen.wang@ieee.org.

Current Students [Full List]

Ph.D. Students
- Lishuai Hou (2025~, M.S. from HUST)
- Zixiong Wang (2025~, M.S. from HUST)
- Tianlong Xu (2022~, M.S. from HUST)
- Min Chen (2021~, M.S. from CUG)
M.S. Students
- Wenfei Zhang (2025~, B.S. from CUG)
- Yanan Sun (2024~, B.S. from HUST)
- Xijie Wang (2023~, B.S. from SHU)

Research Grants

National Natural Science Foundation of China (General Program), No.62272183, 1/2023-12/2026, PI
National Natural Science Foundation of China (General Program), No.61872416, 1/2019-12/2022, PI
Fundamental Research Funds for the Central Universities of China, No.2019kfyXJJS017, 1/2019-12/2021, PI
National Natural Science Foundation of China (Youth Program), No.61502192, 1/2016-12/2018, PI
China Postdoctoral Science Foundation (Special Grant), No.2017T100556, 6/2017-12/2017, PI
China Postdoctoral Science Foundation (General Program, First Class), No.2014M560608, 9/2014-9/2017, PI
CCF-Tencent Rhino-Bird Creativity Fund, No.IAGR20160111, 9/2016-8/2017, PI

Selected Publications [Full List] [Google Scholar]

[KDD] Tianlong Xu, Zixiong Wang, Gaoyang Liu, Jian Chen, Ahmed M. Abdelmoniem, Chen Wang. Breaking the Boundary Barrier: Robust Model Fingerprinting via Unlearnable Examples in Model-Parameter Space. In Proc. of 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, to appear, Jeju, Korea, 2026. (code)
[TDSC] Jian Chen, Zehui Lin, Yufei Kang, Chen Wang, Wanyu Lin. Stealthy Targeted Poisoning Attacks in Vertical Split Learning via Embedding Model Manipulation. IEEE Transactions on Dependable and Secure Computing. Accepted for publication. DOI: 10.1109/TDSC.2026.3670826.
[CCS] Gaoyang Liu, Xijie Wang, Zixiong Wang, Chen Wang, Ahmed M. Abdelmoniem, Desheng Wang. Prototype Surgery: Tailoring Neural Prototypes via Soft Labels for Efficient Machine Unlearning. In Proc. of 32nd ACM Conference on Computer and Communications Security, Taipei, 2025. (code)
[KDD] Min Chen, Weizhuo Gao, Chen Wang, Gaoyang Liu, Ahmed M. Abdelmoniem, Kai Peng. From Expansion to Retraction: Long-tailed Machine Unlearning via Boundary Manipulation. In Proc. of 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 2025. (code)
[ACL Findings] Lishuai Hou, Zixiong Wang, Gaoyang Liu, Chen Wang, Wei Liu, Kai Peng. Decoupling Memories, Muting Neurons: Towards Practical Machine Unlearning for Large Language Models. In Findings of 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, 2025. (code)
[TDSC] Gaoyang Liu, Tianlong Xu, Yang Yang, Ahmed M. Abdelmoniem, Chen Wang, Jiangchuan Liu. Poisoning as a Post-Protection: Mitigating Membership Privacy Leakage From Gradient and Prediction of Federated Models. IEEE Transactions on Dependable and Secure Computing. 2025, 22(5): 5277-5290. (code)
[TDSC] Tianlong Yu, Gaoyang Liu, Chen Wang, Yang Yang. LLMGRAPH: Label-free Detection against APTs in Edge Networks via LLM and GCN. IEEE Transactions on Dependable and Secure Computing. 2025, 22(6): 7256-7271.
[NeurIPS] Tianlong Xu, Chen Wang, Gaoyang Liu, Yang Yang, Kai Peng, Wei Liu. United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories. In Proc. of 38 Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2024. (code)
[NMI] Gaoyang Liu, Chen Wang, Tian Xia. Differential Privacy in AI: Shielding Sensitive Medical Imaging Data. Nature Machine Intelligence. 2024, 6: 742-743. (News & Views)
[TIFS] Gaoyang Liu, Tianlong Xu, Rui Zhang, Zixiong Wang, Chen Wang, Ling Liu. Gradient-Leaks: Enabling Black-box Membership Inference Attacks against Machine Learning Models. IEEE Transactions on Information Forensics and Security. 2024, 19: 427-440. (code)
[TIFS] Jian Chen, Yuan Gao, Gaoyang Liu, Ahmed M. Abdelmoniem, Chen Wang. Manipulating Pretrained Encoder for Targeted Poisoning Attacks in Contrastive Learning. IEEE Transactions on Information Forensics and Security. 2024, 19: 2412-2424. (code)
[TMC] Chen Wang, Mengting Yuan, Yang Yang, Kai Peng, Hongbo Jiang. Revisiting Long- and Short-Term Preference Learning for Next POI Recommendation with Hierarchical LSTM. IEEE Transactions on Mobile Computing. 2024, 23(12): 12693-12705. (code)
[TMC] Haojun Huang, Fengxiang Ding, Hao Yin, Gaoyang Liu, Chen Wang, Dapeng Oliver Wu. EgoMUIL: Enhancing Spatio-temporal User Identity Linkage in Location-Based Social Networks with Ego-Mo Hypergraph. IEEE Transactions on Mobile Computing. 2024, 23(8): 8341-8354.
[TSC] Haibo Liu, Jianfeng Lu, Xiong Wang, Chen Wang, Riheng Jia, Minglu Li. FedUP: Bridging Fairness and Efficiency in Cross-Silo Federated Learning. IEEE Transactions on Services Computing. 2024, 17(6): 3672-3684.
[CVPR] Min Chen, Weizhuo Gao, Gaoyang Liu, Kai Peng, Chen Wang. Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary. In Proc. of 34th IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, 2023. (arXiv; code)
[TIFS] Gaoyang Liu, Zehao Tian, Jian Chen, Chen Wang, Jiangchuan Liu. TEAR: Exploring Temporal Evolution of Adversarial Robustness for Membership Inference Attacks against Federated Learning. IEEE Transactions on Information Forensics and Security. 2023, 18: 4996-5010. (code)
[TIFS] Zehao Tian, Zixiong Wang, Ahmed M. Abdelmoniem, Gaoyang Liu, Chen Wang. Knowledge Representation of Training Data with Adversarial Examples Supporting Decision Boundary. IEEE Transactions on Information Forensics and Security. 2023, 18: 4116-4127. (code)
[TDSC] Lan Liu, Yi Wang, Gaoyang Liu, Kai Peng, Chen Wang. Membership Inference Attacks against Machine Learning Models via Prediction Sensitivity. IEEE Transactions on Dependable and Secure Computing. 2023, 20(3): 2341-2347. (code)
[TSC] Chen Wang, Mengting Yuan, Rui Zhang, Kai Peng, Ling Liu. Efficient Piont-of-Interest Recommendation Services with Heterogenous Hypergraph Embedding. IEEE Transactions on Services Computing. 2023, 16(2): 1132-1143. (code)
[TMC] Xiaoqiang Ma, Fengxiang Ding, Kai Peng, Yang Yang, Chen Wang. CP-Link: Exploiting Continuous Spatio-Temporal Check-in Patterns for User Identity Linkage. IEEE Transactions on Mobile Computing. 2023, 22(8): 4594-4606.
[TIFS] Gaoyang Liu, Tianlong Xu, Xiaoqiang Ma, Chen Wang. Your Model Trains on My Data? Protecting Intellectual Property of Training Data via Membership Fingerprint Authentication. IEEE Transactions on Information Forensics and Security. 2022, 17: 1024-1037. (code)
[CIKM] Xuxin Zhang, Di Wang, Dehong Gao, Wen Jiang, Wei Ning, Yang Zhou, Chen Wang. Revisiting Cold-Start Problem in CTR Prediction: Augmenting Embedding via GAN. In Proc. of 31st ACM International Conference on Information and Knowledge Management, Atlanta, Georgia, USA, 2022. (code)
[TIFS] Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu. De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks. IEEE Transactions on Information Forensics and Security. 2021, 16: 3412-3425. (code)
[TIFS] Xuxin Zhang, Jian Chen, Rui Zhang, Chen Wang, Ling Liu. Attacking Recommender Systems with Plausible Profiles. IEEE Transactions on Information Forensics and Security. 2021, 16: 4788-4800. (code)
[IWQoS] Gaoyang Liu, Xiaoqiang Ma, Yang Yang, Chen Wang, Jiangchuan Liu. FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models. In Proc. of 29th IEEE/ACM International Symposium on Quality of Service, Tokyo, Japan (Virtual Conference), 2021. (arXiv; code)

Honors and Awards

Industrial Professorship, Optics Valley of China, Wuhan, 2026
Grand Prize, AI Special Track, Challenge Cup, Central Committee of CYLC, 2025
World's Top 2% Scientists, Stanford/Elsevier, 2025
Outstanding Reviewer Award, ECCV 2024
Third Prize, Privacy Computing and Data Security Challenge, TC-BDSP, CIPSC, 2022
Excellent Undergraduate Class Advisor, HUST, 2020
Yellow Crane Talents (Excellent Young Scholar), Wuhan Municipal Government, 2019
One of the Best Papers, 20th IEEE MDM, 2019
Top Peer Reviewer Award, Web of Science Group, Clarivate Analytics, 2019
Natural Science Award (Second Prize), Hunan Provincial Government, 2018
100 Representative Grantees, China Postdoctoral Science Foundation, 2018

Professional Activities

Membership
- Senior Member, IEEE (2019-present); Member, IEEE (2013-2018); Student Member (2010-2013)
- Senior Member, ACM (2019-present); Member, ACM (2014-2018)
- Senior Member, CCF (2019-present); Member, CCF (2014-2018)
Editorial Board Member
- Elsevier AI Open (2025-present)
- Springer Cybersecurity (2024-present)
- Chinese Journal of Cyber Security (2024-present)
- Frontiers in Big Data - Cybersecurity and Privacy Section (2022-present)
- International Journal of Information Security and Privacy (2020-present)
- International Journal of Intelligent Networks (2019-2024)
Conference Organizing Committee Member
- ADMIT 2026 (Publicity Chair), 5th Intl Conf. on Algorithms, Data Mining, and Information Technology
- ICCC 2025 (Regional Chair), 11th Intl Conf. on Computer and Communications
- DSIT 2024 (Publicity Chair), 7th Intl Conf. on Data Science and Information Technology
- ICECI 2023 (PC Chair), 4th Intl Conf. on Edge Computing and IoT: Systems, Management and Security
- ICIBE 2022 (PC Chair), 8th Intl Conf. on Industrial and Business Engineering
- TrustCom 2021 (Local Chair), 20th IEEE Intl Conf. on Trust, Security and Privacy in Comput. and Comm.
Conference Program Committee Member
- 2026: KDD_AC, IJCAI_SPC, PAKDD_SPC, ICML, CVPR, AAAI, ICLR, MM, AISTATS, ECCV, ICASSP, WCNC
- 2025: KDD_AC, IJCAI_SPC, NeurIPS, ICML, AAAI, ICLR, MM, AISTATS, ECAI, ICASSP, WCNC, TrustCom, HPCC
- 2024: NeurIPS, AAAI, IJCAI, CHI, CSCW, ECCV, ICWSM, ICASSP, WISE, WCNC, TrustCom, HPCC, VTC, IRI
- 2023: AAAI, ICWSM, ICASSP, ICICS, WCNC, TrustCom, ISPA, VTC, IRI, EUC, ICIN, CSCN, APCC, SocialCom
- 2022: ICWSM, WCNC, TrustCom, HPCC, ICIN, CSCN, CICN, ICDIS, ICCT, ICNIT, CSNT, ARCI, CSAE, 3ICT
- 2021: WCNC, ICIN, IUCC, CIT, AICCSA, EUC, ICCT, ICCC, ICCSN, ARCI, WF-5G, 3ICT
Journal Reviewer
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- IEEE Transactions on Information Forensics and Security
- IEEE Transactions on Dependable and Secure Computing
- IEEE/ACM Transactions on Networking
- IEEE Transactions on Mobile Computing
- IEEE Transactions on Knowledge and Data Engineering
- IEEE Transactions on Services Computing
- IEEE Transactions on Computers
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Transactions on Cloud Computing
- IEEE Transactions on Computational Social Systems
- IEEE Transactions on Network Science and Engineering
- IEEE Transactions on Network and Service Management
- IEEE Transactions on Sustainable Computing
- IEEE Transactions on Green Communications and Networking
- IEEE Transactions on Cognitive Communications and Networking
- IEEE Transactions on Emerging Topics in Computational Intelligence
- IEEE Transactions on Intelligent Transportation Systems
- IEEE Transactions on Privacy
- IEEE Transactions on Artificial Intelligence
- IEEE Transactions on Smart Grid
- IEEE/ASME Transactions on Mechatronics
- IEEE Transactions on Industrial Cyber-Physical Systems
- IEEE Transactions on Intelligent Vehicles
- IEEE Transactions on Consumer Electronics
- ACM Computing Surveys
- ACM Transactions on Privacy and Security
- ACM Transactions on Internet Technology
- ACM Transactions on Embedded Computing Systems
- ACM Transactions on Multimedia Computing Communications and Applications
- ACM Transactions on Asian and Low-Resource Language Information Processing
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM UbiComp)

Courses

Computer Networks
- Undergraduate Course, Fall 2022-2025
- Textbook: Computer Networks: A Systems Approach (6th Edition)
- Reference: Computer Networking: A Top-Down Approach (8th Edition)
Internet of Things
- Undergraduate Course, Spring 2019-2026
- Textbook: Introduction to Internet of Things (4th Edition)
- Reference: Introduction to Mobile Internet (4th Edition)

Misc

Last updated: 2026-3