Dr. Yunxin Liu is a Guoqiang Professor and Principal Investigator at Institute for AI Industry Research, Tsinghua University. He joined Tsinghua University in April 2021, prior to which he was a Principal Research Manager at Microsoft Research Asia. His research interests are mobile/edge computing, with the recent focus on intelligent edge/mobile systems. His work has been published in top conferences and journals including MobiSys, MobiCom, SenSys, TON and TMC, shipped into Microsoft key products such as Visual Studio, and featured in news media worldwide. He received SenSys 2018 Best Paper Runner-up Award, MobiCom 2015 Best Demo Award, and PhoneSense 2011 Best Paper Award. He served as a TPC member of many conferences such as MobiSys, MobiCom, ATC, WWW and INFOCOM. He is serving as a general co-chair of MobiHoc 2021., an Associate Editor of IEEE Transactions on Mobile Computing, and a Vice Chair of ACM China Council SIGBED Chapter.
Personal Website:https://yunxinliu.github.io/
Education:
2006-2011 Shanghai Jiao Tong University Ph.D.
1998-2001 Tsinghua University M.S.
1993-1998 University of Science and Technology of China B.S.
Work Experience:
2021-present Institute for AI Industry Research, Tsinghua University Principal Investigator
2001-2021 Microsoft Research Asia Assistant/Associate Researcher, Researcher, Lead/Senior Researcher, Principal Research Manager
Selected Publications:
1. [MobiSys-2022] Jaemin Shin, Yuanchun Li, Yunxin Liu, and Sung-Ju Lee, “FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients”, in Proceedings of the 20th International Conference on Mobile Systems, Applications, and Services, 2022.
2. [MobiSys-2022] Qipeng Wang, Mengwei Xu, Chao Jin, Xinran Dong, Jinliang Yuan, Xin Jin, Gang Huang, Yunxin Liu, and Xuanzhe Liu, “Melon: Breaking the Memory Wall for Resource-Efficient On-Device Machine Learning”, in Proceedings of the 20th International Conference on Mobile Systems, Applications, and Services, 2022.
3. [MobiSys-2022] Fucheng Jia, Deyu Zhang, Ting Cao, Shiqi Jiang, Yunxin Liu, Ju Ren, and Yaoxue Zhang, “CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices”, in Proceedings of the 20th International Conference on Mobile Systems, Applications, and Services, 2022.
4. [MobiCom-2022] Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Ting Cao, Yuanchun Li, Yaoxue Zhang, and Yunxin Liu, “MobiDepth: Real-Time Depth Estimation Using On-Device Dual Cameras”, in Proceedings of the 28th Annual International Conference on Mobile Computing and Networking, 2022.
5. [MobiCom-2022] Rendong Liang, Ting Cao, Jicheng Wen, Manni Wang, Yang Wang, Jianhua Zou, and Yunxin Liu, “Romou: Rapidly Generate High-Performance Tensor Kernels for Mobile GPUs”, in Proceedings of the 28th Annual International Conference on Mobile Computing and Networking, 2022.
6. [SenSys-2022] Yongheng Deng, Weining Chen, Ju Ren, Feng Lyu, Yang Liu, Yunxin Liu, and Yaoxue Zhang, “TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity”, in Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022.
7. [SenSys-2022] Ziyan Fu, Ju Ren, Yunxin Liu, Ting Cao, Deyu Zhang, Yuezhi Zhou, and Yaoxue Zhang, “Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL”, in Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022.
8. [MICRO-2022] Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, and Yuhao Zhu, “ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization”, in Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022. (IEEE Micro Top Picks 2023 Honorable Mention)
9. [ICSE-2022] Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Xiangqun Chen, ao Guo, and Yunxin Liu, “ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing”, in Proceedings of the 44rd IEEE/ACM International Conference on Software Engineering, 2022.
10. [ICLR-2022] Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, and Minyi Guo, “SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation”, in Proceedings of the tenth International Conference on Learning Representations, 2022.
11. [ICLR-2022] Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, and Sung Ju Hwang, “Rethinking the Representational Continuity: Towards Unsupervised Continual Learning”, in Proceedings of the tenth International Conference on Learning Representations (Oral), 2022.
12. [MobiCom-2021] Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu and Yunxin Liu, “Flexible High-resolution Object Detection on Edge Devices with Tunable Latency”, in Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, 2021.
13. [MobiCom-2021] Manni Wang, Shaohua Ding, Ting Cao, Yunxin Liu, and Fengyuan Xu, “AsyMo: Scalable and Efficient Deep-Learning Inference on Asymmetric Mobile CPUs”, in Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, 2021.
14. [MobiCom-2021] Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, Marco Gruteser, Dipankar Raychaudhuri, and Yanyong Zhang, “Elf: Accelerate High-resolution Mobile Deep Vision with Content-aware Parallel Offloading”, in Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, 2021.
15. [MobiCom-2021] Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, and Sheng Zhong, “PECAM: Privacy-Enhanced Video Streaming and Analytics via Securely-Recoverable Transformation”, in Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, 2021.
16. [MobiSys-2021] Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, and Yunxin Liu, “nn-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices”, in Proceedings of the 19th International Conference on Mobile Systems, Applications, and Services, 2021.
17. [ESEC/FSE-2021] Chengxu Yang, Yuanchun Li, Mengwei Xu, Zhenpeng Chen, Yunxin Liu, Gang Huang, and Xuanzhe Liu, “TaintStream: Fine-grained Taint Tracking for Big Data Platforms through Dynamic Code Translation”, in Proceedings of the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2021.
18. [ISCA-2021] Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, and Jingwen Leng, “Dual-side Sparse Tensor Core”, in Proceedings of the 48th International Symposium on Computer Architecture, 2021.
19. [ATC-2021] Mengwei Xu, Tiantu Xu, Yunxin Liu, and Felix Xiaozhu Lin, “Video Analytics with Zero-streaming Cameras”, in Proceedings of the 2021 USENIX Annual Technical Conference, 2021.
20. [MM-2021] Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin; Yunxin Liu and Mengwei Xu, “Boosting Mobile CNN Inference through Semantic Memory”, in Proceedings of the 29th ACM International Conference on Multimedia, 2021.
