Dr. Yuanchun Li is an assistant researcher at the Institute for AI Industry Research (AIR), Tsinghua University. Before joining AIR, he got his Ph.D. and B.S. in Computer Science from Peking University, and was a Senior Researcher at Microsoft Research Asia. His research interests include intelligent software, reliable artificial intelligence, and ubiquitous computing. His research has been published in top conferences and journals such as FSE, ICSE, UbiComp, MobiCom, and SIGIR. His work won the UbiComp Honorable Mention Award and IS-EUD Best Paper Award, and the related systems and tools are widely used in the open-source community.
Personal Academic Website: https://yuanchun-li.github.io
Email address:liyuanchun@air.tsinghua.edu.cn
Education:
2014-2019. Peking University. PhD
2016-2017. Carnegie Mellon University. Visiting PhD
2010-2014. Peking University. Bachelor
Work Experience:
2021-present. Institute for AI Industrial Research, Tsinghua University. Assistant Researcher
2019-2021. Microsoft Research Asia. Senior Researcher
Research Interests:
Edge Computing,
Artificial Intelligence
, Systems Software
Selected Publications：
Ziqi Zhang, Yuanchun Li*, Jindong Wang, Bingyan Liu, Ding Li, Xiangqun Chen, Yao Guo, Yunxin Liu. “ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing”. In Proceedings of the 2022 IEEE/ACM 44th International Conference on Software Engineering. (ICSE 2022)
Chengxu Yang, Yuanchun Li*, Mengwei Xu, Zhenpeng Chen, Yunxin Liu, Gang Huang, Xuanzhe Liu. “TaintStream: Fine-grained Taint Tracking for Big Data Platforms through Dynamic Code Translation”. In Proceedings of the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. (ESEC/FSE 2021)
Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu. “ModelDiff: Testing-based DNN Similarity Comparison for Model Reuse Detection”. The ACM SIGSOFT International Symposium on Software Testing and Analysis. (ISSTA 2021)
Yuanchun Li, Oriana Riva. “Glider: A Reinforcement Learning Approach to Extract UI Scripts from Websites”. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021)
Yuanchun Li, Jiayi Hua, Haoyu Wang, Chunyang Chen, Yunxin Liu. “DeepBackdoor: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection”. In Proceedings of the 2021 IEEE/ACM 43th International Conference on Software Engineering. (ICSE 2021).
Bingyan Liu, Yuanchun Li*, Yao Guo, Xiangqun Chen, Yunxin Liu. “PMC: A Privacy-preserving Deep Learning Model Customization Framework for Edge Computing”. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 4, Article 139 (December 2020), 25 pages. (UbiComp 2021).
Ziqi Zhang, Yuanchun Li*, Yao Guo, Xiangqun Chen, Yunxin Liu. “Dynamic Slicing for Deep Neural Networks.” In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Association for Computing Machinery, New York, NY, USA, 838–850. (ESEC/FSE 2020)
Yuanchun Li, Fanglin Chen, Toby Jia-Jun Li, Yao Guo, Gang Huang, Matthew Fredrikson, Yuvraj Agarwal, and Jason I. Hong. “PrivacyStreams: Enabling Transparency in Personal Data Processing for Mobile Apps.” Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, Article 76 (September 2017), 26 pages. (UbiComp 2017).
Yuanchun Li, Ziyue Yang, Yao Guo and Xiangqun Chen. “DroidBot: A Lightweight UI-Guided Test Input Generator For Android.” In Proceedings of the 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, 321-326. (ICSE 2017 Demo)
Yuanchun Li, Yao Guo, and Xiangqun Chen. “PERUIM: Understanding Mobile Application Privacy with Permission-UI Mapping.” In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 682-693. (UbiComp 2016).
