Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. - Xin He 019; Xiaoming Liu; Zhili Wu; Wu Yu; Xiaowen Chu 001; Shihao Wang; Shaohuai Shi; Zhenheng Tang; Yuxin Wang 003; Zhihao Zhao; Jing Dai; Ronghao Ni; et al. (IEEE BigData, 2019)

Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training. - Yuxin Wang 003; Qiang Wang 022; Shaohuai Shi; Xin He 019; Zhenheng Tang; Kaiyong Zhao; Xiaowen Chu 001 (CCGRID, 2020)

Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. - Xin He 019; Shihao Wang; Xiaowen Chu 001; Shaohuai Shi; Jiangping Tang; Xin Liu 027; Chenggang Yan 001; Jiyong Zhang; Guiguang Ding (AAAI, 2021)

Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans. - Xin He 019; Shihao Wang; Xiaowen Chu 001; Shaohuai Shi; Jiangping Tang; Xin Liu 027; Chenggang Yan 001; Jiyong Zhang; Guiguang Ding (CoRR, 2021)

Efficient Multi-objective Evolutionary 3D Neural Architecture Search for COVID-19 Detection with Chest CT Scans. - Xin He 019; Shihao Wang; Guohao Ying; Jiyong Zhang; Xiaowen Chu 001 (CoRR, 2021)

AutoML: A survey of the state-of-the-art. - Xin He 019; Kaiyong Zhao; Xiaowen Chu 001 (Knowl. Based Syst., 2021)

EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs. - Guohao Ying; Xin He 019; Bin Gao; Bo Han 003; Xiaowen Chu 001 (ECCV (16), 2022)

Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. - Zhenheng Tang; Yonggang Zhang 003; Shaohuai Shi; Xin He 019; Bo Han 003; Xiaowen Chu 001 (ICML, 2022)

Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification. - Xin He 019; Guohao Ying; Jiyong Zhang; Xiaowen Chu 001 (MICCAI (1), 2022)

NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. - Xin He 019; Jiangchao Yao; Yuxin Wang 003; Zhenheng Tang; Ka Chun Cheung; Simon See; Bo Han 003; Xiaowen Chu 001 (AAAI, 2023)

FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs. - Zhenheng Tang; Yuxin Wang 003; Xin He 019; Longteng Zhang; Xinglin Pan; Qiang Wang 022; Rongfei Zeng; Kaiyong Zhao; Shaohuai Shi; Bingsheng He; Xiaowen Chu 001 (CoRR, 2023)

Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining. - Yuxin Wang 003; Shaohuai Shi; Xin He 019; Zhenheng Tang; Xinglin Pan; Yang Zheng; Xiaoyu Wu; Amelie Chi Zhou; Bingsheng He; Xiaowen Chu 001 (CoRR, 2023)

FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression. - Zhenheng Tang; Xueze Kang; Yiming Yin; Xinglin Pan; Yuxin Wang 003; Xin He 019; Qiang Wang 022; Rongfei Zeng; Kaiyong Zhao; Shaohuai Shi; Amelie Chi Zhou; Bo Li 001; et al. (CoRR, 2024)

ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference. - Xin He 019; Shunkang Zhang; Yuxin Wang 003; Haiyan Yin; Zihao Zeng; Shaohuai Shi; Zhenheng Tang; Xiaowen Chu 001; Ivor W. Tsang; Yew-Soon Ong (CoRR, 2024)

RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging. - Xin He 019; Junxi Shen; Zhenheng Tang; Xiaowen Chu 001; Bo Li 001; Ivor W. Tsang; Yew-Soon Ong (CoRR, 2025)