Bingyan Liu
	Research Associate Professor, PhD Advisor Beijing University of Posts and Telecommunications (BUPT)     Address: School of Computer Science, BUPT (Xituchen campus), Haidian District, Beijing, China, 100876 Email: bingyanliu AT bupt.edu.cn

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, CVPR'24, Security'24).

NEWS

• June 2024 - Our paper, "Recent advances on federated learning: A systematic survey", was accepted by Neurocomputing 2024.
• May 2024 - Our paper, "Image-based Molecular Representation Learning for Drug Development: A Survey", was accepted by BIB 2024.
• May 2024 - Our paper, "FAMOS:Robust Privacy-Preserving Authentication on Payment Apps via Federated Multi-Modal Contrastive Learning ", was accepted by USENIX Security 2024.
• Feb 2024 - Our paper, "Traceable Federated Continual Learning", was accepted by CVPR 2024.
• 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 2024.
• 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!

SELECTED PUBLICATIONS

• [Neurocomputing'24] Recent advances on federated learning: A systematic survey. (JCR-Q1, full paper)
  Bingyan Liu, Nuoyan Lv, Yuanchun Guo, and Yawen Li.
  In Neurocomputing, June. 2024.
• [BIB'24] Image-based Molecular Representation Learning for Drug Development: A Survey. (JCR-Q1/CCF-B, full paper)
  Yue Li, Bingyan Liu, Jinyan Deng, Yi Guo, and Hongbo Du.
  In Briefing In Bioinformatics, May. 2024.
• [Security'24] FAMOS:Robust Privacy-Preserving Authentication on Payment Apps via Federated Multi-Modal Contrastive Learning. (CCF-A, full paper)
  Yifeng Cai, Ziqi Zhang, Jiaping Gui, Bingyan Liu, Xiaoke Zhao, Ruoyu Li, Zhe Li, and Ding Li.
  In Proceedings of USENIX Security Symposium (Security), May. 2024.
• [CVPR'24] Traceable Federated Continual Learning. (CCF-A, full paper)
  Qiang Wang, Bingyan Liu, and Yawen Li.
  In IEEE / CVF Computer Vision and Pattern Recognition Conference, Feb. 2024.
• [IEEE S&P'24] 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

• Ant Group, Beijing. Security and Privacy in Split Learning, May 2023
• Huawei, Beijing. Security and Privacy in Federated Learning, Apr 2023
• The 32th Web Conference (WWW), Apr 2023
• 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

• Neurips 2024 (CCF-A), Reviewer
• CVPR 2024 (CCF-A), Reviewer
• KDD 2023,2024 (CCF-A), Reviewer
• TKDE 2022,2023 (CCF-A), Reviewer
• WWW 2022,2023 (CCF-A), Reviewer
• Ubicomp 2020,2024 (CCF-A), Reviewer
• ACM MM 2023,2024 (CCF-A), Reviewer
• TOIS 2022 (CCF-A), Reviewer
• JSAC 2022 (CCF-A), Reviewer

TEACHING EXPERIENCE

• Course Instructor, Operating System, Beijing University of Posts and Telecommunications (Fall 2023,2024)
• 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