Jingchu Liu

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 7

Top Topics

Short Term Prediction

Reinforcement Learning

Top Venues

IEEE Wirel. Commun.

Publications

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 (2023)
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)
Jingchu Liu, Pengfei Hou, Lisen Mu, Yinan Yu, Chang Huang
Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making. CoRR (2018)
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) (2018)
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)
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) (2016)
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 (2016)
Bingjie Leng, Jingchu Liu, Huimin Pan, Sheng Zhou, Zhisheng Niu
Topic Model Based Behaviour Modeling and Clustering Analysis for Wireless Network Users. CoRR (2015)
Jingchu Liu, Ruichen Deng, Sheng Zhou, Zhisheng Niu
Seeing the Unobservable: Channel Learning for Wireless Communication Networks. CoRR (2015)
Huimin Pan, Jingchu Liu, Sheng Zhou, Zhisheng Niu
A block regression model for short-term mobile traffic forecasting. ICCC (2015)
Huimin Pan, Jingchu Liu, Sheng Zhou, Zhisheng Niu
A Block Regression Model for Short-Term Mobile Traffic Forecasting. CoRR (2015)
Jingchu Liu, Sheng Zhou, Jie Gong, Zhisheng Niu, Shugong Xu
Graph-based Framework for Flexible Baseband Function Splitting and Placement in C-RAN. CoRR (2015)
Jingchu Liu, Shugong Xu, Sheng Zhou, Zhisheng Niu
Redesigning Fronthaul for Next-Generation Networks: Beyond Baseband Samples and Point-to-Point Links. CoRR (2015)
Jingchu Liu, Ruichen Deng, Sheng Zhou, Zhisheng Niu
Seeing the Unobservable: Channel Learning for Wireless Communication Networks. GLOBECOM (2015)
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) (2015)
Bingjie Leng, Jingchu Liu, Huimin Pan, Sheng Zhou, Zhisheng Niu
Topic model based behaviour modeling and clustering analysis for wireless network users. APCC (2015)
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)
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) (2014)
Jingchu Liu, Tao Zhao, Sheng Zhou, Yu Cheng, Zhisheng Niu
CONCERT: A Cloud-Based Architecture for Next-generation Cellular Systems. CoRR (2014)
Jingchu Liu, Sheng Zhou, Jie Gong, Zhisheng Niu, Shugong Xu
On the statistical multiplexing gain of virtual base station pools. GLOBECOM (2014)
Jingchu Liu, Sheng Zhou, Jie Gong, Zhisheng Niu, Shugong Xu
On the Statistical Multiplexing Gain of Virtual Base Station Pools. CoRR (2014)