Dr. Yunxin Liu is currently a Guoqiang Professor at Institute for AI Industry Research (AIR), Tsinghua University and the Director of the Tsinghua University - AsiaInfo Technologies (China) Inc. Joint Research Center. He joined Tsinghua University in April 2021, prior to which he was a Principal Researcher and the Research Manager of Heterogeneous and Extreme Computing (HEX) group at Microsoft Research Asia where worked in Wireless and Networking (W&N) group, Mobile and Sensing System (MASS) group, and Intelligent Cloud and Edge (ICE) group, before managing HEX group. He received his Ph.D. in computer science from Shanghai Jiao Tong University (SJTU), M.S. degree in computer science from Tsinghua University, and B.S. degrees in mechanical engineering and computer science from University of Science and Technology of China (USTC).

He has broad research interests on AIoT, AI systems, mobile computing and edge computing. His work has been published in top conferences and journals such as MobiSys, MobiCom, SenSys, NSDI, CCS, TON, TMC, and TPDS; shipped into MS products such as Visual Studio, XBOX XDK, and Windows Phone; and featured in news media including ABC News, The Register, NetworkWorld, and many others. He served as a TPC member of a set of conferences such as MobiSys, MobiCom, SIGCOMM, ATC, WWW and INFOCOM. He served as a TPC Co-Chair of MobiSys 2023, a General Co-chair of MobiHoc 2021, a Co-chair of ACM Open IoT Day 2019, a Co-chair of HotEdgeVideo 2019/2020 workshop, and a Workshop Co-chair of MobiSys 2016. He is an Associate Editor of IEEE Transactions on Mobile Computing. He received MobiSys 2021 Best Paper Award, MobiCom 2015 Best Demo Award, PhoneSense 2011 Best Paper Award, and SenSys 2018 Best Paper Runner-up Award. He is a senior member of the IEEE and a member of the ACM. He is a Vice Chair of ACM China Council SIGBED Chapter. He is an adjunct professor (guest Ph.D. advisor) of USTC.

We are looking for motivated researchers, postdocs and interns to join us!

News

• 2024-09, paper "ADAWIFI, Collaborative WiFi Sensing for Cross-Environment Adaptation" accepted to IEEE Transactions on Mobile Computing
• 2024-08, paper "TIM: Enabling Large-scale White-box Testing on In-App Deep Learning Models" accepted to IEEE Transactions on Information Forensics and Security
• 2024-07, paper "Region-based Content Enhancement for Efficient Video Analytics at the Edge" accepted to NSDI 2025
• 2024-06, paper "PruneAug: Bridging DNN Pruning and Inference Latency on Diverse Sparse Platforms Using Automatic Layerwise Block Pruning" accepted to IEEE Transactions on Computers
• 2024-05, paper "SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget" accepted to ACL 2024
• 2024-04, paper "Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization" accepted to MobiSys 2024
• 2024-02, two papers accepted to MobiCom 2024 (Summer Round)

Selected recent publications

• [MobiSys-2024] Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, and Mao Yang, “Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization”,in Proceedings of the 22nd International Conference on Mobile Systems, Applications, and Services, 2024.
• [MobiCom-2024] Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, and Yunxin Liu, “AutoDroid: LLM-powered Task Automation in Android”, in Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024.
• [MobiCom-2024] Xiangyu Li, Yuanchun Li, Yuanzhe Li, Ting Cao, and Yunxin Liu, “FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices”,in Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024.
• [MobiSys-2023] Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, and Yunxin Liu, “NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors”, in Proceedings of the 21st International Conference on Mobile Systems, Applications, and Services, 2023.
• [MobiCom-2023] Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, and Mao Yang, “LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup”, in Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023.
• [MobiCom-2023] Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Yaqin Zhang, and Yunxin Liu, “AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments”, in Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023.
• [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.
• [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.
• [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.
• [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.
• [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.
• [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.
• [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.

Selected services

• TPC Co-chair, MobiSys 2023
• General Co-chair, MobiHoc 2021
• Associate Editor, IEEE Transactions on Mobile Computing (2020-2024)
• Technical Program Committee, MobiCom (2020, 2021, 2025)
• Technical Program Committee, MobiSys (2015, 2019, 2022, 2024)
• Technical Program Committee, SIGCOMM (2023)

Patents

18 US patents granted: 11893963, 11763156, 10917336, 9681378, 9559545, 9247495, 9069766, 8386614, 8364816, 8261361, 8180887, 7792924, 7783702, 7630997, 7626931, 7433814, 7339899, 7411908.

Awards

• Distinguished Paper Award, GreenCom 2023
• IEEE Micro Top Picks 2023 Honorable Mention
• First Prize of 2023 CAA Science and Technology Progress Award, Chinese Association of Automation (CAA), 2023
• Second Prize of 2023 CCF Science and Technology Progress Award, China Computer Federation (CCF), 2023
• First Prize of 2022 CCF Science and Technology Progress Award, China Computer Federation (CCF), 2022
• Best Paper Award, MobiSys 2021
• Best Paper Runner-up Award, SenSys 2018
• Best Demo Award, MobiCom 2015
• Best Paper Award, PhoneSense Workshop, 2011
• Tech Transfer Award (to Visual Studio 2010), 2010
• MSRA “Tech Transfer of Year” Award, 2008
• Ship-It Award for “Games for Windows LiVE”, 2008
• Ship-It Award for “XNA – DirectX SDK and Xbox XDK”, 2008
• MSRA “Demo of Year” Award, 2006