Name: Liu Chi
Discipline: Computer Science and Technology
Title: Vice Dean, Professor, Doctoral Supervisor
Contact number: 13718763233
E-mail: chiliu@bit.edu.cn
Address: Central Teaching Building 1102 Personal Information
Liu Chi, Professor, doctoral supervisor, Deputy Dean of School of Computer Science, Beijing Institute of Technology, Director of Beijing Key Laboratory of Intelligent Information Technology, National young talents, Chief Scientist of the National Key Research and Development Program, responsible professor of Computer science and technology, member of the Information and Electronics Department of the University, Fellow of the Chinese Society of Electronics, Fellow of the British Institute of Engineering and Technology (IET), Fellow of British Computer Society (Fellow of British Computer Society) Society). He received his bachelor's degree in Electrical Engineering from Tsinghua University in 2006, and his PhD degree in Electrical and Electronic Engineering from Imperial College, UK in 2010. He was a postdoctoral researcher at Deutsche Telekom Laboratories, Berlin, and a research director at IBM TJ Watson Research Center and IBM China Research Institute in the United States. His main research interests are: Intelligent Internet of Things technology. He presided over a total of 2 key projects of the national key research and development Program "Industrial Software", 2 key projects of the National key research and Development Program "Strategic Science and Technology Innovation Cooperation", 2 joint key projects of the National Natural Science Foundation and 3 projects of youth/face/excellent youth, 4 high-end foreign experts introduction programs of the Ministry of Science and Technology, and 2 projects of national key research and development programs. And the Science and Technology Committee X73, XX6 and so on. He has published 72 CCF-A papers, 8 ESI highly cited papers, 43 authorized domestic and foreign invention patents, and participated in the compilation of 16 Chinese and English books/sections, with more than 9600 Google citations and an H index of 46.
He won the first Prize of Natural Science of the Chinese Society of Electronics in 2023 (ranked first), the runner-up of ACM SigKDD 2021 Best Paper Runner up Award, and the runner-up of ACM MobiCom 2021 Best Community Paper Paper Runner up Award, Excellent Paper Award of China University Computer Education Conference, and 1 first prize and 2 second prize of provincial and ministerial level. The textbooks of Internet of Things and reinforcement learning were selected as the "14th Five-Year Plan" textbooks of the Ministry of Industry and Information Technology, the "14th Five-Year Plan" textbooks of Beijing Institute of Technology, and the fine textbooks of Beijing Institute of Technology; Many students have won the Beijing Excellent Undergraduate graduation design thesis, the Chinese Institute of Electronics excellent master's thesis, the highest scholarship of Beijing Institute of Technology Xu Teli Scholarship, etc. As the instructor, he led the students to win the Grand prize of the National Finals of the 2022 China University Computer Competition - Artificial Intelligence Creativity Competition.
He is currently a member of the National information industry "14th Five-Year Plan" expert advisory group, a member of the fourth National Beacon Committee Technical Committee, a leading expert in science and technology innovation 2030-big data major projects, a director of the Chinese Society of Electronics, an outstanding member of the Chinese Computer Society, and a senior consulting expert in the "13th Five-Year Plan" strategic emerging fields of the Chinese Academy of Engineering. He is currently Editor of IEEE Transactions on Mobile Computing (CCF-A class). He served on the editorial board of IEEE Transactions on Network Science and Engineering and was awarded the Excellent Editor Award in 2021 and 2023 Award), SIGKDD, IJCAI, INFOCOM TPC (and was awarded 2021 Distinguished TPC); He was the Chair of IEEE ICC 2020 Symposium on Next Generation Networking and the Executive Chairman of the 400th Young Scientist Forum Review and "Promoting the Spirit of Scientists" report of China Association for Science and Technology.

Research Direction
Artificial Intelligence, Internet of Things, Big Data, Edge Computing

Personal Information
Liu Chi, Professor, doctoral supervisor, Deputy Dean of School of Computer Science, Beijing Institute of Technology, Director of Beijing Key Laboratory of Intelligent Information Technology, National young talents, Chief Scientist of the National Key Research and Development Program, responsible professor of Computer science and technology, member of the Information and Electronics Department of the University, Fellow of the Chinese Society of Electronics, Fellow of the British Institute of Engineering and Technology (IET), Fellow of British Computer Society (Fellow of British Computer Society) Society). He received his bachelor's degree in Electrical Engineering from Tsinghua University in 2006, and his PhD degree in Electrical and Electronic Engineering from Imperial College, UK in 2010. He was a postdoctoral researcher at Deutsche Telekom Laboratories, Berlin, and a research director at IBM TJ Watson Research Center and IBM China Research Institute in the United States. His main research interests are: Intelligent Internet of Things technology. He presided over a total of 2 key projects of the national key research and development Program "Industrial Software", 2 key projects of the National key research and Development Program "Strategic Science and Technology Innovation Cooperation", 2 joint key projects of the National Natural Science Foundation and 3 projects of youth/face/excellent youth, 4 high-end foreign experts introduction programs of the Ministry of Science and Technology, and 2 projects of national key research and development programs. And the Science and Technology Committee X73, XX6 and so on. He has published 72 CCF-A papers, 8 ESI highly cited papers, 43 authorized domestic and foreign invention patents, and participated in the compilation of 16 Chinese and English books/sections, with more than 9600 Google citations and an H index of 46.
He won the first Prize of Natural Science of the Chinese Society of Electronics in 2023 (ranked first), the runner-up of ACM SigKDD 2021 Best Paper Runner up Award, and the runner-up of ACM MobiCom 2021 Best Community Paper Paper Runner up Award, Excellent Paper Award of China University Computer Education Conference, and 1 first prize and 2 second prize of provincial and ministerial level. The textbooks of Internet of Things and reinforcement learning were selected as the "14th Five-Year Plan" textbooks of the Ministry of Industry and Information Technology, the "14th Five-Year Plan" textbooks of Beijing Institute of Technology, and the fine textbooks of Beijing Institute of Technology; Many students have won the Beijing Excellent Undergraduate graduation design thesis, the Chinese Institute of Electronics excellent master's thesis, the highest scholarship of Beijing Institute of Technology Xu Teli Scholarship, etc. As the instructor, he led the students to win the Grand prize of the National Finals of the 2022 China University Computer Competition - Artificial Intelligence Creativity Competition.
He is currently a member of the National information industry "14th Five-Year Plan" expert advisory group, a member of the fourth National Beacon Committee Technical Committee, a leading expert in science and technology innovation 2030-big data major projects, a director of the Chinese Society of Electronics, an outstanding member of the Chinese Computer Society, and a senior consulting expert in the "13th Five-Year Plan" strategic emerging fields of the Chinese Academy of Engineering. He is currently Editor of IEEE Transactions on Mobile Computing (CCF-A class). He served on the editorial board of IEEE Transactions on Network Science and Engineering and was awarded the Excellent Editor Award in 2021 and 2023 Award), SIGKDD, IJCAI, INFOCOM TPC (and was awarded 2021 Distinguished TPC); He was the Chair of IEEE ICC 2020 Symposium on Next Generation Networking and the Executive Chairman of the 400th Young Scientist Forum Review and "Promoting the Spirit of Scientists" report of China Association for Science and Technology.

Personal Information
Liu Chi, Professor, doctoral supervisor, Deputy Dean of School of Computer Science, Beijing Institute of Technology, Director of Beijing Key Laboratory of Intelligent Information Technology, National young talents, Chief Scientist of the National Key Research and Development Program, responsible professor of Computer science and technology, member of the Information and Electronics Department of the University, Fellow of the Chinese Society of Electronics, Fellow of the British Institute of Engineering and Technology (IET), Fellow of British Computer Society (Fellow of British Computer Society) Society). He received his bachelor's degree in Electrical Engineering from Tsinghua University in 2006, and his PhD degree in Electrical and Electronic Engineering from Imperial College, UK in 2010. He was a postdoctoral researcher at Deutsche Telekom Laboratories, Berlin, and a research director at IBM TJ Watson Research Center and IBM China Research Institute in the United States. His main research interests are: Intelligent Internet of Things technology. He presided over a total of 2 key projects of the national key research and development Program "Industrial Software", 2 key projects of the National key research and Development Program "Strategic Science and Technology Innovation Cooperation", 2 joint key projects of the National Natural Science Foundation and 3 projects of youth/face/excellent youth, 4 high-end foreign experts introduction programs of the Ministry of Science and Technology, and 2 projects of national key research and development programs. And the Science and Technology Committee X73, XX6 and so on. He has published 72 CCF-A papers, 8 ESI highly cited papers, 43 authorized domestic and foreign invention patents, and participated in the compilation of 16 Chinese and English books/sections, with more than 9600 Google citations and an H index of 46.
He won the first Prize of Natural Science of the Chinese Society of Electronics in 2023 (ranked first), the runner-up of ACM SigKDD 2021 Best Paper Runner up Award, and the runner-up of ACM MobiCom 2021 Best Community Paper Paper Runner up Award, Excellent Paper Award of China University Computer Education Conference, and 1 first prize and 2 second prize of provincial and ministerial level. The textbooks of Internet of Things and reinforcement learning were selected as the "14th Five-Year Plan" textbooks of the Ministry of Industry and Information Technology, the "14th Five-Year Plan" textbooks of Beijing Institute of Technology, and the fine textbooks of Beijing Institute of Technology; Many students have won the Beijing Excellent Undergraduate graduation design thesis, the Chinese Institute of Electronics excellent master's thesis, the highest scholarship of Beijing Institute of Technology Xu Teli Scholarship, etc. As the instructor, he led the students to win the Grand prize of the National Finals of the 2022 China University Computer Competition - Artificial Intelligence Creativity Competition.
He is currently a member of the National information industry "14th Five-Year Plan" expert advisory group, a member of the fourth National Beacon Committee Technical Committee, a leading expert in science and technology innovation 2030-big data major projects, a director of the Chinese Society of Electronics, an outstanding member of the Chinese Computer Society, and a senior consulting expert in the "13th Five-Year Plan" strategic emerging fields of the Chinese Academy of Engineering. He is currently Editor of IEEE Transactions on Mobile Computing (CCF-A class). He served on the editorial board of IEEE Transactions on Network Science and Engineering and was awarded the Excellent Editor Award in 2021 and 2023 Award), SIGKDD, IJCAI, INFOCOM TPC (and was awarded 2021 Distinguished TPC); He was the Chair of IEEE ICC 2020 Symposium on Next Generation Networking and the Executive Chairman of the 400th Young Scientist Forum Review and "Promoting the Spirit of Scientists" report of China Association for Science and Technology.

代表性学术成果
代表性CCF-A类论文：
[JSAC]. C. H. Liu*, Z. Chen, J. Tang, J. Xu, C. Piao, "Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach," IEEE Journal of Selected Areas in Communications, Volume:3, Issue:9, Page(s): 2059-2070, 2018. 高被引论文
[JSAC]. C. H. Liu*, Z. Chen, Y. Zhan, "Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach," IEEE Journal of Selected Areas in Communications, Volume: 37, Issue: 6, Page(s): 1262 – 1276, June 2019.
[TKDE]. C. H. Liu*, J. Xu, J. Tang and J. Crowcroft, "Social-aware Sequential Modeling of User Interests: A Deep Learning Approach," IEEE Transactions on Knowledge and Data Engineering, Volume: 31, Issue: 11, Page(s): 2200 – 2212, Nov. 1 2019.
[TKDE]. C. H. Liu*, Y. Wang, C. Piao, Z. Dai, Y. Yuan, G. Wang, D. Wu, "Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM," IEEE Transactions on Knowledge and Data Engineering, DOI: 10.1109/TKDE.2020.3005735, June 2020.
[TMC]. C. H. Liu, X. Ma, X. Gao and J. Tang*, "Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning," IEEE Transactions on Mobile Computing, Volume: 19, Issue:6, Page(s): 1274-1285, JUNE 2020
[TMC]. C. H. Liu*, Z. Dai, Y. Zhao, J. Crowcroft, D. Wu and K. K. Leung, "Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning," IEEE Transactions on Mobile Computing, Volume: 20, Issue: 1, Page(s): 130-146, January 2021.
[TPAMI]. S. Li, C. H. Liu*, Q. Lin, Q. Wen, L. Su, G. Huang, Z. Ding, "Deep Residual Correction Network for Partial Domain Adaptation," in IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume:43, Issue: 7, Page(s): 2329-2344, July 2021. 高被引论文
[TPAMI]. S. Li, B. Xie, Q. Lin, C. H. Liu, G. Huang, and G. Wang,“Generalized Domain Conditioned Adaptation Network,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2021.3062644, 01 March 2021.
[TPAMI]. B. Xie, S. Li*, M. Li, C. H. Liu, G. Huang, and G. Wang,“SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation,”IEEE Transactions on Pattern Analysis and Machine Intelligence, Jan. 2023.
[TVCG]. G. Li, R. Li, Z. Wang, C. H. Liu*, M. Lu, and G. Wang,“HiTailor: Interactive Transformation and Visualization for Hierarchical Tabular Data,”IEEE Transactions on Visualization and Computer Graphics, Volume: 29, Issue: 1, Page(s): 139-148, Jan. 2023.
[TC]. R. Han, C. H. Liu*, S. Li, S. Wen, and X. Liu,“Accelerating Deep Learning Systems via Critical Set Identification and Model Compression,” IEEE Transactions on Computers, Volume: 69, Issue: 7, Page(s): 1059-1070, 1 July 2020.
[KDD]. H. Wang, C. H. Liu*, Z. Dai, J. Tang, G. Wang,“Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning,”in ACM SIGKDD 2021 , virtual, August 2021, Page(s): 3679–3687 (Best Paper Award - Runner Up).
[MOBICOM]. R. Han, Q. Zhang, C. H. Liu*, G. Wang, J. Tang, L. Y. Chen,“LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision,”in ACM MOBICOM 2021 , virtual, October 2021, Page(s): 406–419. (Best Community Paper Award - Runner Up).
[NeurIPS]. F. Lv, J. Liang, K. Gong, S. Li*, C. H. Liu, H. Li, D. Liu, G. Wang,“Pareto Domain Adaptation,” in NeurIPS 2021 , virtual, Dec. 6-14, 2021.
[ICLR]. M. Xie, S. Li*, R. Zhang, C. H. Liu,“Dirichlet-based Uncertainty Calibration for Active Domain Adaptation,” in ICLR 2023 , virtual, May 1-5, 2023.
[INFOCOM]. C. H. Liu, Z. Dai, H. Yang, J. Tang, “Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach,”in IEEE INFOCOM 2020 , virtual, 6-9 July, Page(s): 1123-1132.
[INFOCOM]. C. H. Liu, C. Piao, J. Tang, “Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning,”in IEEE INFOCOM 2020 , virtual, 6-9 July, Page(s): 199-208.
[INFOCOM]. Z. Dai, H. Wang, C. H. Liu*, R. Han, J. Tang, G. Wang,“Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach,”in IEEE INFOCOM 2021 , virtual, 10-13 May, 2021, Page(s): 1-10.
[INFOCOM]. Z. Dai, C. H. Liu*, Y. Ye, R. Han, Y. Yuan, G. Wang, J. Tang,“AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning,”in IEEE INFOCOM 2022 , Virtual, 2-5 May, 2022.
[ICDE]. C. H. Liu, Y. Zhao, Y. Yuan, G. Wang, D. Wu, K. K. Leung,“Curiosity Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach,”in IEEE ICDE 2020 , Dallas, USA, April 2020, Page(s):25-36.
[ICDE]. C. H. Liu, C. Piao, X. Ma, Y. Yuan, J. Tang, G. Wang,“Modeling Citywide Crowd Flows using Attentive Convolutional LSTM,”in IEEE ICDE 2021 , virtual, April 19-23 2021, Page(s):217-228.
[ICDE]. Y. Wang, C. H. Liu*, C. Piao, Y. Yuan, R. Han, G. Wang,“Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Multi-Agent Deep Reinforcement Learning,”in IEEE ICDE 2022 , virtual, May 9-12 2022.
[ICDE]. Y. Ye, C. H. Liu, Z. Dai, J. Zhao*, Y. Yuan, G. Wang, J. Tang,“Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning,” in IEEE ICDE 2023 , virtual, 2023.
[CVPR]. S. Li, M. Xie, K. Gong, C. H. Liu*, Y. Wang, W. Li, “Transferable Semantic Data Augmentation for Domain Adaptation,” in IEEE CVPR 2021 , virtual, June 19-25, 2021, Page(s):11516-11525. (oral presentation)
[AAAI]. Y. Zhao, K. Wu, Z. Xu, Z. Che, Q. Lu, J. Tang, C. H. Liu, “A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving,” AAAI 2022 , Virtual, 22 Feb-1 March, 2022. (oral presentation)
代表性论著和教材：
[1] 刘驰（主编）；韩锐、赵健鑫、马建（副主编），《物联网技术概论》第三版，机械工业出版社，2021年11月 北京理工大学“十四五”规划教材、北京理工大学精品教材
[2] 刘驰、王占健、马晓鑫、戴子彭等（编著），《深度强化学习：学术前沿与实践应用》，机械工业出版社，2020年4月
[3] 刘驰（主编）、符积高、徐闻春（编著）,《Spark:原理、机制及应用》，机械工业出版社，2016年3月
所获奖励