A medium access scheme with dynamic contention window-based successive transmission for visible light communications system. - Heting Liu; Lin Zhang 023 (ICTC, 2016)

Energy efficient medium access scheme for visible light communication system based on IEEE 802.15.7 with unsaturated traffic. - Heting Liu; Lin Zhang 023; Ming Jiang 002 (IET Commun., 2016)

A successive transmission medium access scheme with dynamic contention window for VLC system with saturated traffic. - Heting Liu; Lin Zhang 023; Zhiqiang Wu 001 (Photonic Netw. Commun., 2017)

Deep Reinforcement Learning-Based Server Selection for Mobile Edge Computing. - Heting Liu; Guohong Cao (IEEE Trans. Veh. Technol., 2021)

Prediction of GPU Failures Under Deep Learning Workloads. - Heting Liu; Zhichao Li; Cheng Tan 005; Rongqiu Yang; Guohong Cao; Zherui Liu; Chuanxiong Guo (CoRR, 2022)

Deep Learning Video Analytics Through Online Learning Based Edge Computing. - Heting Liu; Guohong Cao (IEEE Trans. Wirel. Commun., 2022)

Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization. - Heting Liu; Fang He; Guohong Cao (INFOCOM, 2023)

Predicting GPU Failures With High Precision Under Deep Learning Workloads. - Heting Liu; Zhichao Li; Cheng Tan 005; Rongqiu Yang; Guohong Cao; Zherui Liu; Chuanxiong Guo (SYSTOR, 2023)

HoneyIoT: Adaptive High-Interaction Honeypot for IoT Devices Through Reinforcement Learning. - Chongqi Guan; Heting Liu; Guohong Cao; Sencun Zhu; Thomas La Porta (WISEC, 2023)

Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices. - Heting Liu; Junzhe Huang; Fang He; Guohong Cao (CoRR, 2025)