Research on autonomous moving robot path planning based on improved particle swarm optimization. - Zhibin Nie; Xiaobing Yang; Shihong Gao; Yan Zheng; Jianhui Wang; Zhanshan Wang (CEC, 2016)

A Discover of Class and Image Level Variance Between Different Pruning Methods on Convolutional Neural Networks. - Shihong Gao (SmartIoT, 2020)

Chebyshev neural network-based attitude-tracking control for rigid spacecraft with finite-time convergence. - Shihong Gao; Yuanwei Jing; Xiaoping Liu 004; Georgi M. Dimirovski (Int. J. Control, 2021)

SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training. - Xizhi Gu; Hongzheng Li; Shihong Gao; Xinyan Zhang; Lei Chen 002; Yingxia Shao (ECML/PKDD (3), 2024)

SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement. - Shihong Gao; Yiming Li; Xin Zhang 101; Yanyan Shen; Yingxia Shao; Lei Chen 002 (Proc. ACM Manag. Data, 2024)

ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs. - Shihong Gao; Yiming Li; Yanyan Shen; Yingxia Shao; Lei Chen 002 (Proc. VLDB Endow., 2024)

Efficient Training of Graph Neural Networks on Large Graphs. - Yanyan Shen; Lei Chen; Jingzhi Fang; Xin Zhang; Shihong Gao; Hongbo Yin (Proc. VLDB Endow., 2024)

Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving. - Shihong Gao; Xin Zhang; Yanyan Shen; Lei Chen (CoRR, 2025)

Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving. - Shihong Gao; Xin Zhang 101; Yanyan Shen; Lei Chen 002 (Proc. ACM Manag. Data, 2025)