On the statistical multiplexing gain of virtual base station pools. - Jingchu Liu; Sheng Zhou 001; Jie Gong; Zhisheng Niu; Shugong Xu (GLOBECOM, 2014)

CONCERT: a cloud-based architecture for next-generation cellular systems. - Jingchu Liu; Tao Zhao 002; Sheng Zhou 001; Yu Cheng 003; Zhisheng Niu (IEEE Wirel. Commun., 2014)

Topic model based behaviour modeling and clustering analysis for wireless network users. - Bingjie Leng; Jingchu Liu; Huimin Pan; Sheng Zhou 001; Zhisheng Niu (APCC, 2015)

Seeing the Unobservable: Channel Learning for Wireless Communication Networks. - Jingchu Liu; Ruichen Deng; Sheng Zhou 001; Zhisheng Niu (GLOBECOM, 2015)

Graph-based framework for flexible baseband function splitting and placement in C-RAN. - Jingchu Liu; Sheng Zhou 001; Jie Gong; Zhisheng Niu; Shugong Xu (ICC, 2015)

A block regression model for short-term mobile traffic forecasting. - Huimin Pan; Jingchu Liu; Sheng Zhou 001; Zhisheng Niu (ICCC, 2015)

Redesigning fronthaul for next-generation networks: beyond baseband samples and point-to-point links. - Jingchu Liu; Shugong Xu; Sheng Zhou 001; Zhisheng Niu (IEEE Wirel. Commun., 2015)

Statistical Multiplexing Gain Analysis of Heterogeneous Virtual Base Station Pools in Cloud Radio Access Networks. - Jingchu Liu; Sheng Zhou 001; Jie Gong; Zhisheng Niu; Shugong Xu (IEEE Trans. Wirel. Commun., 2016)

Remote Channel Inference for Beamforming in Ultra-Dense Hyper-Cellular Network. - Sheng Chen 013; Zhiyuan Jiang; Jingchu Liu; Rath Vannithamby; Sheng Zhou 001; Zhisheng Niu; Ye Wu (GLOBECOM, 2017)

Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making. - Jingchu Liu; Pengfei Hou; Lisen Mu; Yinan Yu; Chang Huang (CoRR, 2018)

DeepNap: Data-Driven Base Station Sleeping Operations Through Deep Reinforcement Learning. - Jingchu Liu; Bhaskar Krishnamachari; Sheng Zhou 001; Zhisheng Niu (IEEE Internet Things J., 2018)

Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning. - Bikun Wang; Zhipeng Wang; Chenhao Zhu; Zhiqiang Zhang; Zhichen Wang; Penghong Lin; Jingchu Liu; Qian Zhang (IROS, 2023)

Drive in Corridors: Enhancing the Safety of End-to-End Autonomous Driving via Corridor Learning and Planning. - Zhiwei Zhang; Ruichen Yang; Ke Wu; Zijun Xu; Jingchu Liu; Lisen Mu; Zhongxue Gan; Wenchao Ding 001 (IEEE Robotics Autom. Lett., 2025)