BRIEF BIOGRAPHY
Currently I am a research associate professor at School of Computer Science, Beijing University of Posts and Telecommunications. I received my PhD degree in Computer Science from Peking University in 2022, advised by Prof. Yao Guo and Prof. Xiangqun Chen. I previously interned in MSRA working with Senior Researcher Yuanchun Li and Principle Researcher Yunxin Liu.
I work on Efficient and Secure AI Systems, which covers a wide range of research topics including mobile/edge computing, federated learning, privacy computing, AI security, model compression and transfer learning.
Specifically, my goal is to make DNNs efficient,customized and secure for ubiquitous devices.
- Efficiency: inference efficiency (ACMMM’19, ISSTA'22); data efficiency (AAAI’21, ICSE'22).
- Customization: edge-cloud collaboration customization (Ubicomp’21, ISSTA'21).
- Security: privacy-preserving federated learning (WWW’21, Ubicomp’22, ICSE'23, WWW'23).
I'm always looking for highly self-motivated PhD/master students, visiting students, and undergraduate interns (RAs) to work with me. Please directly send your CV to me if you find my research interesting.
NEWS
- July 2023 - Our paper, "No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML", was accepted by IEEE S&P 2023.
- Feb 2023 - Our paper, "Multi-view Scholar Clustering with Dynamic Interest Tracking", was accepted by TKDE 2023.
- Jan 2023 - Our paper, "Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users", was accepted by WWW 2023.
- Dec. 2022 - Our paper, "FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing", was accepted by ICSE 2023.
- June 2022 - Our paper, "TEESlice: Slicing DNN Models for Secure and Efficient Deployment",was accepted by ISSTA 2022 AISTA workshop .
- June 2022 - I was awarded Outstanding Graduate of Beijing.
- June 2022 - I was awarded Outstanding Graduate of Peking University.
- May 2022 - I successfully defended my PhD thesis. Thanks for all!
- Dec 2021 - Our paper, "ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing",was accepted by ICSE 2022.
- Oct 2021 - Our paper, "DistFL: Distribution-aware Federated Learning for Mobile Scenarios", was accepted by ACM IMWUT/Ubicomp 2022.
- Oct 2021 - I was awarded PKU Academic Innovation Award.
SELECTED PUBLICATIONS
- [IEEE S&P'23] No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML. (CCF-A, full paper)
Ziqi Zhang, Chen Gong, Yifeng Cai, Yuan yuanyuan, Bingyan Liu, Shuai Wang, Ding Li, Yao Guo, and Xiangqun Chen.
In IEEE Symposium on Security and Privacy, July. 2023.
- [TKDE'23] Multi-view Scholar Clustering with Dynamic Interest Tracking. (CCF-A, full paper)
Ang Li, Yawen Li, Yingxia Shao, and Bingyan Liu.
In IEEE Transactions on Knowledge and Data Engineering, Feb. 2023.
- [WWW'23] Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users. (CCF-A, full paper)
Bingyan Liu, Yifeng Cai, Hongzhe Bi, Ziqi Zhang, Ding Li, Yao Guo, and Xiangqun Chen.
In Proceedings of the 32th Web Conference, Jan. 2023.
- [ICSE'23] FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing. (CCF-A, full paper)
Ziqi Zhang, Yuanchun Li, Bingyan Liu, Yifeng Cai, Ding Li, Yao Guo, and Xiangqun Chen.
In International Conference on Software Engineering, Dec. 2022.
- [ISSTA'22] TEESlice: Slicing DNN Models for Secure and Efficient Deployment. (CCF-A, full paper)
Ziqi Zhang, Lucien K. L. Ng, Bingyan Liu, Yifeng Cai, Ding Li, Yao Guo, and Xiangqun Chen.
In International Symposium on Software Testing and Analysis(workshop), June. 2022.
- [ICSE'22] ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing. (CCF-A, full paper)
Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, and Yunxin Liu.
In International Conference on Software Engineering, Dec. 2021.
- [ACM Ubicomp'22]
DistFL: Distribution-aware Federated Learning for Mobile Scenarios. [PDF] (CCF-A, full paper)
Bingyan Liu, Yifeng Cai, Ziqi Zhang, Yuanchun Li, Leye Wang, Ding Li, Yao Guo, and Xiangqun Chen.
In ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Oct 2021.
- [ISSTA'21]
ModelDiff: Testing-based DNN Similarity Comparison for Model Reuse Detection. [PDF] (CCF-A, full paper, 51/233≈21.9%)
Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu.
In Proceeding of the 30th ACM SIG-SOFT International Symposium on Software Testing and Analysis.
- [WWW'21]
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization. [PDF] (CCF-A, full paper, 357/1736≈20.6%)
Bingyan Liu, Yao Guo, and Xiangqun Chen.
In Proceedings of the 30th Web Conference.
- [ACM Ubicomp'21]
PMC: A Privacy- preserving Deep Learning Model Customization Framework for Edge Computing. [PDF] (CCF-A, full paper, 149/848≈17.5%)
Bingyan Liu, Yuanchun Li, Yunxin Liu, Yao Guo, and Xiangqun Chen.
In Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 4, Article 139 (December 2020), 25 pages.
- [AAAI'21]
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning. [PDF] (CCF-A, full paper, 1692/7961≈21.3%)
Bingyan Liu, Yifeng Cai, Yao Guo, and Xiangqun Chen.
In Proceedings of the 35th AAAI Conference on Artificial Intelligence.
- [ACM MM'19]
WealthAdapt: A General Net-Adaptation Framework for Small Data Tasks. [PDF] (CCF-A, full paper, 248/936≈26.5%)
Bingyan Liu, Yao Guo, Xiangqun Chen.
In Proceedings of the 27th ACM International Conference on Multimedia.
INVITED TALKS
- ACM Conference on Pervasive and Ubiquitous Computing (UbiComp), Sep 2021
- Introduction of our work on federated personalization, AI Drive, June 2021
- Introduction of our work on model adaptation, AIIT, Hangzhou, May 2021
- The 30th Web Conference (WWW), Virtual Event, Apr 2021
- The 35th AAAI Conference on Artificial Intelligence (AAAI), Virtual Event, Feb 2021
- The 27th ACM International Conference on Multimedia (ACMMM), France, Oct 2019
ACADEMIC SERVICES
- KDD 2023 (CCF-A), Reviewer
- TKDE 2023 (CCF-A), Reviewer
- TKDE 2022 (CCF-A), Reviewer
- TBD 2022, Reviewer
- TOIS 2022 (CCF-A), Reviewer
- JSAC 2022 (CCF-A), Reviewer
- WEB 2022, PC Member
- WWW 2022 (CCF-A), External Reviewer
- TNSM 2021, Reviewer
- AAAI 2021 (CCF-A), External Reviewer
- Ubicomp 2020 (CCF-A), Reviewer
TEACHING EXPERIENCE
- Teaching Assistant, Operating System, Peking University (Fall 2020)
- Teaching Assistant, Operating System, Peking University (Spring 2020)
- Teaching Assistant, Operating System, Peking University (Fall 2019)
- Teaching Assistant, Operating System, Peking University (Spring 2019)
- Teaching Assistant, Operating System, Peking University (Fall 2018)
- Teaching Assistant, Operating System, Peking University (Spring 2018)
SELECTED HONORS
- Outstanding Graduate of Beijing, 2022
- Outstanding Graduate of Peking University, 2022
- Academic Innovation Award, Peking University, 2021
- PhD National Scholarship, Ministry of Education, 2021
- Merit student, Peking University, 2021
- Huawei Scholarship, Huawei, 2021
- Stars of Tomorrow Internship Program, Microsoft Research Asia, 2020
- Scientific Research Excellence Award, Peking University, 2019
- Scientific Research Excellence Award, Peking University, 2018
- Outstanding Undergraduate Students of Beijing, 2017
Last Updated: 2023-02
