Efficient Gradient Descent via Value Staleness Analysis for Heterogeneous Deep Learning Systems. - Enting Guo; Kun Wang 005; Yan Zhang 002 (CBD, 2019)

Topology-Aware Job Scheduling for Machine Learning Cluster. - Jingyuan Lu; Peng Li 017; Kun Wang 005; Huibin Feng; Enting Guo; Xiaoyan Wang 003; Song Guo 001 (GLOBECOM, 2019)

Exploiting Computation Reuse in Cloud-Based Deep Learning via Input Reordering. - Enting Guo; Peng Li 017; Kun Wang 005; Huibin Feng; Jingyuan Lu; Song Guo 001 (ICC, 2020)

Efficient Video Privacy Protection Against Malicious Face Recognition Models. - Enting Guo; Peng Li 017; Shui Yu 001; Hao Wang 003 (IEEE Open J. Comput. Soc., 2022)

Instant and Secure Channel Key Extraction Scheme Among Wireless Devices. - Hong Zhao; Enting Guo; Chunhua Su; Xinyi Huang 001 (GLOBECOM, 2023)

Efficient and Appropriate Key Generation Scheme in Different IoT Scenarios. - Hong Zhao; Enting Guo; Chunhua Su; Xinyi Huang 001 (ICICS, 2023)

The Framework of General Channel Key Generation Based on Physical Layer. - Hong Zhao; Enting Guo; Xiuheng Liao; Kouichi Sakurai; Chunhua Su (DSPP (2), 2024)

Dynamic Channel Key Regeneration Scheme with LFSR for Secure IoT Communications. - Hong Zhao; Enting Guo; Chunhua Su; Xinyi Huang 001 (GLOBECOM, 2024)

A review and implementation of physical layer channel key generation in the Internet of Things. - Hong Zhao; Enting Guo; Zhuotao Lian; Yong Zhao; Xinyi Huang 001; Chunhua Su (J. Inf. Secur. Appl., 2024)

Adversarial Robustness Encoder as a Service for Classifiers on Internet of Things Devices. - Enting Guo; Hong Zhao; Shengli Pan 001; Chunhua Su; Peng Li 017 (IEEE Internet Things J., 2025)