Xin He

According to our database, Xin He authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging.

Xin He, Junxi Shen, Zhenheng Tang, Xiaowen Chu, Bo Li, Ivor W. Tsang, Yew-Soon Ong

CoRR, August, 2025

2024

ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference.

Xin He, Shunkang Zhang, Yuxin Wang, Haiyan Yin, Zihao Zeng, Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Ivor W. Tsang, Yew-Soon Ong

CoRR, 2024

FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression.

Zhenheng Tang, Xueze Kang, Yiming Yin, Xinglin Pan, Yuxin Wang, Xin He, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Amelie Chi Zhou, Bo Li, Bingsheng He, Xiaowen Chu

CoRR, 2024

2023

Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining.

Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu

CoRR, 2023

FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs.

Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu

CoRR, 2023

NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension.

Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification.

Xin He, Guohao Ying, Jiyong Zhang, Xiaowen Chu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning.

Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu

Proceedings of the International Conference on Machine Learning, 2022

EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs.

Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

AutoML: A survey of the state-of-the-art.

Xin He, Kaiyong Zhao, Xiaowen Chu

Knowl. Based Syst., 2021

Efficient Multi-objective Evolutionary 3D Neural Architecture Search for COVID-19 Detection with Chest CT Scans.

Xin He, Shihao Wang, Guohao Ying, Jiyong Zhang, Xiaowen Chu

CoRR, 2021

Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans.

Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding

CoRR, 2021

Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans.

Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training.

Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models.

Xin He, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019