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2020 – today
- 2023
[c7]Bikun Wang, Zhipeng Wang, Chenhao Zhu, Zhiqiang Zhang, Zhichen Wang, Penghong Lin, Jingchu Liu, Qian Zhang:
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning. IROS 2023: 1691-1696- [i10]Bikun Wang, Zhipeng Wang, Chenhao Zhu, Zhiqiang Zhang, Zhichen Wang, Penghong Lin, Jingchu Liu, Qian Zhang:
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning. CoRR abs/2303.13986 (2023)
2010 – 2019
- 2018
- [j4]Jingchu Liu, Bhaskar Krishnamachari
, Sheng Zhou, Zhisheng Niu:
DeepNap: Data-Driven Base Station Sleeping Operations Through Deep Reinforcement Learning. IEEE Internet Things J. 5(6): 4273-4282 (2018) - [i9]Jingchu Liu, Pengfei Hou, Lisen Mu, Yinan Yu, Chang Huang:
Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making. CoRR abs/1802.00332 (2018) - 2017
- [c6]Sheng Chen, Zhiyuan Jiang, Jingchu Liu, Rath Vannithamby, Sheng Zhou, Zhisheng Niu, Ye Wu:
Remote Channel Inference for Beamforming in Ultra-Dense Hyper-Cellular Network. GLOBECOM 2017: 1-6 - 2016
- [j3]Jingchu Liu, Sheng Zhou, Jie Gong, Zhisheng Niu, Shugong Xu:
Statistical Multiplexing Gain Analysis of Heterogeneous Virtual Base Station Pools in Cloud Radio Access Networks. IEEE Trans. Wirel. Commun. 15(8): 5681-5694 (2016) - [i8]Jingchu Liu, Sheng Zhou, Jie Gong, Zhisheng Niu, Shugong Xu:
Statistical Multiplexing Gain Analysis of Heterogeneous Virtual Base Station Pools in Cloud Radio Access Networks. CoRR abs/1605.06653 (2016) - 2015
- [j2]Jingchu Liu, Shugong Xu, Sheng Zhou, Zhisheng Niu:
Redesigning fronthaul for next-generation networks: beyond baseband samples and point-to-point links. IEEE Wirel. Commun. 22(5): 90-97 (2015) - [c5]Bingjie Leng, Jingchu Liu, Huimin Pan, Sheng Zhou, Zhisheng Niu:
Topic model based behaviour modeling and clustering analysis for wireless network users. APCC 2015: 410-415 - [c4]Jingchu Liu, Ruichen Deng, Sheng Zhou, Zhisheng Niu:
Seeing the Unobservable: Channel Learning for Wireless Communication Networks. GLOBECOM 2015: 1-6 - [c3]Jingchu Liu, Sheng Zhou, Jie Gong, Zhisheng Niu, Shugong Xu:
Graph-based framework for flexible baseband function splitting and placement in C-RAN. ICC 2015: 1958-1963 - [c2]Huimin Pan, Jingchu Liu, Sheng Zhou, Zhisheng Niu:
A block regression model for short-term mobile traffic forecasting. ICCC 2015: 1-5 - [i7]Jingchu Liu, Sheng Zhou, Jie Gong, Zhisheng Niu, Shugong Xu:
Graph-based Framework for Flexible Baseband Function Splitting and Placement in C-RAN. CoRR abs/1501.04703 (2015) - [i6]Jingchu Liu, Shugong Xu, Sheng Zhou, Zhisheng Niu:
Redesigning Fronthaul for Next-Generation Networks: Beyond Baseband Samples and Point-to-Point Links. CoRR abs/1508.01898 (2015) - [i5]Jingchu Liu, Ruichen Deng, Sheng Zhou, Zhisheng Niu:
Seeing the Unobservable: Channel Learning for Wireless Communication Networks. CoRR abs/1508.01899 (2015) - [i4]Huimin Pan, Jingchu Liu, Sheng Zhou, Zhisheng Niu:
A Block Regression Model for Short-Term Mobile Traffic Forecasting. CoRR abs/1511.05612 (2015) - [i3]Bingjie Leng, Jingchu Liu, Huimin Pan, Sheng Zhou, Zhisheng Niu:
Topic Model Based Behaviour Modeling and Clustering Analysis for Wireless Network Users. CoRR abs/1511.05618 (2015) - 2014
- [j1]Jingchu Liu, Tao Zhao, Sheng Zhou, Yu Cheng, Zhisheng Niu:
CONCERT: a cloud-based architecture for next-generation cellular systems. IEEE Wirel. Commun. 21(6): 14-22 (2014) - [c1]Jingchu Liu, Sheng Zhou, Jie Gong, Zhisheng Niu, Shugong Xu:
On the statistical multiplexing gain of virtual base station pools. GLOBECOM 2014: 2283-2288 - [i2]Jingchu Liu, Sheng Zhou, Jie Gong, Zhisheng Niu, Shugong Xu:
On the Statistical Multiplexing Gain of Virtual Base Station Pools. CoRR abs/1408.5990 (2014) - [i1]Jingchu Liu, Tao Zhao, Sheng Zhou, Yu Cheng, Zhisheng Niu:
CONCERT: A Cloud-Based Architecture for Next-generation Cellular Systems. CoRR abs/1410.0113 (2014)
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