Resource Waste-Aware Dynamic Workflow Scheduling in Multicluster. - Chang Shi; Feng Zhu; Yuqi Li; Jinghui Zhang (CBD, 2019)

Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos. - Yiling Qiao; Chang Shi; Chenjian Wang; Hao Li; Matt Haberland; Xiyang Luo; Andrew M. Stuart; Andrea L. Bertozzi (Image Processing: Algorithms and Systems, 2019)

Network pharmacology-based prediction of the active ingredients and mechanism of Shen Gui capsule for application to coronary heart disease. - Dan Wang; Li Tian; Chang Shi; Yu-Xi Wei; Han Wang; Tian-Tian Liu; Ming Gong; Yan-Wen Zhang; Rong-Guo Yu; Xiao-hui Wu (Comput. Biol. Medicine, 2020)

Real-Time Scheduling and Analysis of OpenMP DAG Tasks Supporting Nested Parallelism. - Jinghao Sun; Nan Guan; Feng Li 032; Huimin Gao; Chang Shi; Wang Yi 001 (IEEE Trans. Computers, 2020)

DGTL-Net: A Deep Generative Transfer Learning Network for Fault Diagnostics on New Hard Disks. - Chang Shi; Zhenyu Wu; Xiaomeng Lv; Yang Ji (Expert Syst. Appl., 2021)

Recognition and Prediction of Surgical Gestures and Trajectories Using Transformer Models in Robot-Assisted Surgery. - Chang Shi; Yi Zheng; Ann Majewicz Fey (IROS, 2022)

Study on Influencing Factors of Microblog User's Malicious Disinhibition Behavior. - Feng Xu; Chang Shi; Kaili Gao; Yong Qi (IMMS, 2023)

Haptic Guidance Using a Transformer-Based Surgeon-Side Trajectory Prediction Algorithm for Robot-Assisted Surgical Training. - Chang Shi; Jonathan Madera; Heath Boyea; Ann Majewicz Fey (RO-MAN, 2023)

EUFormer: Learning Driven 3D Spine Deformity Assessment with Orthogonal Optical Images. - Nan Meng; Jason Pui Yin Cheung; Tao Huang; Moxin Zhao; Yue Zhang; Chenxi Yu; Chang Shi; Teng Zhang (EMBC, 2024)

Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning. - Caleb Chuck; Carl Qi; Michael J. Munje; Shuozhe Li; Max Rudolph; Chang Shi; Siddhant Agarwal; Harshit Sikchi; Abhinav Peri; Sarthak Dayal; Evan Kuo; Kavan Mehta; et al. (CoRR, 2024)

Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning. - Caleb Chuck; Fan Feng; Carl Qi; Chang Shi; Siddhant Agarwal; Amy Zhang 001; Scott Niekum (ICLR, 2025)

A Dual-Feature Extractor Framework for Accurate Back Depth and Spine Morphology Estimation from Monocular RGB Images. - Yuxin Wei; Yue Zhang; Moxin Zhao; Chang Shi; Jason Pui Yin Cheung; Teng Zhang; Nan Meng (CoRR, 2025)