“80 后” 副院长刘驰: 心怀前沿数据梦 贾婧 创新时代, 40-41, 2017 | | 2017 |
A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving Y Zhao, K Wu, Z Xu, Z Che, Q Lu, J Tang, CH Liu AAAI 2022, 3481-2489, 2022 | 24* | 2022 |
A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation B Xie, S Li, F Lv, CH Liu, Z Ding, G Wang, D Wu IEEE Transactions on Knowledge and Data Engineering 35 (7), 6518 - 6533, 2023 | 45 | 2023 |
A cross-layer framework of QoS routing and distributed scheduling for mesh networks CH Liu, A Gkelias, KK Leung VTC Spring 2008-IEEE Vehicular Technology Conference, 2193-2197, 2008 | 29 | 2008 |
A distributed scheduling algorithm with QoS provisions in multi-hop wireless mesh networks CH Liu, A Gkelias, Y Hou, KK Leung 2008 IEEE International Conference on Wireless and Mobile Computing …, 2008 | 11 | 2008 |
A generic admission-control methodology for packet networks CH Liu, KK Leung, A Gkelias IEEE Transactions on Wireless Communications 13 (2), 604-617, 2014 | 17 | 2014 |
A minimalist ensemble method for generalizable offline deep reinforcement learning K Wu, Y Zhao, Z Xu, Z Zhao, P Ren, Z Che, CH Liu, F Feng, J Tang ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022 | 2 | 2022 |
A mobile computing method using CNN and SR for signature authentication with contour damage and light distortion M Wang, K Zhai, CH Liu, Y Li Wireless Communications and Mobile Computing 2018 (1), 5412925, 2018 | 1 | 2018 |
A new approach to architecture of sensor networks for mission-oriented applications CH Liu, KK Leung, C Bisdikian, JW Branch Wireless Sensing and Processing IV 7349, 190-201, 2009 | 14 | 2009 |
A novel cross-layer QoS routing algorithm for wireless mesh networks CH Liu, KK Leung, A Gkelias 2008 International Conference on Information Networking, 1-5, 2008 | 29 | 2008 |
A survey of big data deep learning systems and a typical agricultural application. L Zhang, R Han, C Liu, W Li, Y Shi | 2 | 2019 |
A survey of context-aware middleware designs for human activity recognition O Yurur, CH Liu, W Moreno IEEE Communications Magazine 52 (6), 24-31, 2014 | 63 | 2014 |
A survey of incentive mechanisms for participatory sensing H Gao, CH Liu, W Wang, J Zhao, Z Song, X Su, J Crowcroft, KK Leung IEEE Communications Surveys & Tutorials 17 (2), 918-943, 2015 | 211 | 2015 |
Accelerating Deep Learning Systems via Critical Set Identification and Model Compression R Han, CH Liu, S Li, S Wen, X Liu IEEE Transactions on Computers 69 (7), 1059 - 1070, 2020 | 15 | 2020 |
Accelerating Gossip-based Deep Learning in Heterogeneous Edge Computing Platforms R Han, S Li, X Wang, CH Liu, G Xin, Y Chen IEEE Transactions on Parallel and Distributed Systems 32 (7), 1591-1602, 2021 | 28 | 2021 |
Accurate Differentially Private Deep Learning on the Edge R Han, D Li, J Ouyang, CH Liu, G Wang, D Wu, LY Chen IEEE Transactions on Parallel and Distributed Systems 32 (9), 2231-2247, 2021 | 14 | 2021 |
ACQL: An Adaptive Conservative Q-Learning Framework for Offline Reinforcement Learning K Wu, Y Zhao, Z Xu, Z Che, C Yin, CH Liu, Q Qiu, F Feng, J Tang | | |
Action recognition with bootstrapping based long-range temporal context attention Z Liu, G Gao, AK Qin, T Wu, CH Liu Proceedings of the 27th ACM International Conference on Multimedia, 583-591, 2019 | 10 | 2019 |
Active Learning for Domain Adaptation: An Energy-based Approach B Xie, L Yuan, S Li, CH Liu, X Cheng, G Wang AAAI 2022, 8708-8716, 2022 | 101 | 2022 |
Adaptive Convolution Neural Network Algorithm of Whole Process Learning Rate for Mine Fire Detection Method Y Liu, C Liu, M Wang 2020 International Symposium on Computer, Consumer and Control (IS3C), 504-507, 2020 | 1 | 2020 |