Non-invasive optical methods for brain-machine interfacing and imaging. - Jae-Ho Han; Ji-Hyun Kim; Jaeyoung Shin; Yiyu Chen 002; Shi Chang; Seungbae Ji; Seung-Beom Yu; Jichai Jeong (SMC, 2014)

Recent progress of non-invasive optical modality to brain computer interface: A review study. - Jae-Ho Han; Seungbae Ji; Shi Chang; Seung-Beom Yu; Jaeyoung Shin (BCI, 2015)

DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation. - Xiangxiang Cui; Shi Chang; Chen Li 033; Bin Kong 001; Lihua Tian; Hongqiang Wang; Peng Huang; Meng Yang; Yenan Wu; Zhongyu Li 002 (Neurocomputing, 2021)

Key-frame Guided Network for Thyroid Nodule Recognition Using Ultrasound Videos. - Yuchen Wang; Zhongyu Li 002; Xiangxiang Cui; Liangliang Zhang; Xiang Luo; Meng Yang; Shi Chang (MICCAI (4), 2022)

Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition. - Jaejeong Shin; Shi Chang; Matthew J. Bays; Joshua Weaver; Thomas A. Wettergren; Silvia Ferrari (CoRR, 2022)

Dynamic Reward in DQN for Autonomous Navigation of UAVs Using Object Detection. - Adam Lagoda; Seyedeh Fatemeh Mahdavi Sharifi; Thomas Aagaard Pedersen; Daniel Ortiz Arroyo; Shi Chang; Petar Durdevic (CoDIT, 2023)

FF-IR: An information retrieval system for flash flood events developed by integrating public-domain data and machine learning. - Rohan Singh Wilkho; Nasir G. Gharaibeh; Shi Chang; Lei Zou 002 (Environ. Model. Softw., 2023)

EpilepsyNet: A Self-Calibrating Deep Learning Network for Accurate and Robust Seizure Detection. - Wenhao Li; Zhenyu Hou; Shi Chang; Zhenhong Ye; Yihang Bao; Jingtong Zhao; Guan Ning Lin (BIBM, 2024)

LLM4RL: Enhancing Reinforcement Learning with Large Language Models. - Jiehan Zhou; Yang Zhao; Jiahong Liu; Peijun Dong; Xiaoyu Luo; Hang Tao; Shi Chang; Hanjiang Luo (CCECE, 2024)

Sam-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching. - Xingyue Zhao; Peiqi Li; Xiangde Luo; Meng Yang; Shi Chang; Zhongyu Li 002 (ISBI, 2024)

EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network. - Song Lai 001; Mingyang Zhao 001; Zhe Zhao 008; Shi Chang; Xiaohua Yuan; Hongbin Liu 001; Qingfu Zhang 001; Gaofeng Meng (MICCAI (4), 2024)

Adaptive Agent-based Load Balancing in Fog Computing. - Shi Chang; Hanan Lutfiyya (WF-IoT, 2024)

FF-BERT: A BERT-based ensemble for automated classification of web-based text on flash flood events. - Rohan Singh Wilkho; Shi Chang; Nasir G. Gharaibeh (Adv. Eng. Informatics, 2024)

Software Performance Engineering for Foundation Model-Powered Software (FMware). - Haoxiang Zhang 001; Shi Chang; Arthur Leung; Kishanthan Thangarajah; Boyuan Chen 002; Hanan Lutfiyya; Ahmed E. Hassan (CoRR, 2024)

Semi-Supervised Thyroid Nodule Detection in Ultrasound Videos. - Xiang Luo; Zhongyu Li 002; Canhua Xu; Bite Zhang; Liangliang Zhang; Jihua Zhu; Peng Huang; Xin Wang 045; Meng Yang; Shi Chang (IEEE Trans. Medical Imaging, 2024)

Persistent Schedule Evaluation and Adaptive Re-planning for Maritime Search Tasks. - Matthew J. Bays; Thomas A. Wettergren; Jaejeong Shin; Shi Chang; Silvia Ferrari (J. Intell. Robotic Syst., 2024)

Ultrasound Nodule Segmentation Using Asymmetric Learning With Simple Clinical Annotation. - Xingyue Zhao; Zhongyu Li 002; Xiangde Luo; Peiqi Li; Peng Huang; Jianwei Zhu; Yang Liu 090; Jihua Zhu; Meng Yang; Shi Chang; Jun Dong (IEEE Trans. Circuits Syst. Video Technol., 2024)

Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos. - Xiangxiang Cui; Zhongyu Li 002; Xiayue Fan; Peng Huang; Ying Wang; Meng Yang; Shi Chang; Jihua Zhu (CoRR, 2025)

A Network Connectivity-Aware Reinforcement Learning Method for Task Exploration and Allocation. - Xingyu He; Xiankai Li; Guisong Yang; Shi Chang; Jiehan Zhou (IEEE Trans. Netw. Serv. Manag., 2025)

Context-Aware CodeLLM Eviction for AI-assisted Coding. - Kishanthan Thangarajah; Boyuan Chen 002; Shi Chang; Ahmed E. Hassan (CoRR, 2025)

Adaptive Request Scheduling for CodeLLM Serving with SLA Guarantees. - Shi Chang; Boyuan Chen 002; Kishanthan Thangarajah; Hanan Lutfiyya; Ahmed E. Hassan (CoRR, 2025)