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ORCIDXin He 0019
Person information
Other persons with the same name
- Xin He — disambiguation page
- Xin He 0001 — University of California, San Francisco, Department of Biochemistry and Biophysics, CA, USA (and 1 more)
- Xin He 0002 — University of New South Wales, Sydney, Australia (and 1 more)
- Xin He 0003
![[0000-0003-0559-1949]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-0559-1949")
— Jilin University, Changchun, China - Xin He 0004 — Harbin Institute of Technology, School of Electronics and Information Engineering, China
- Xin He 0005 — State University of New York at Buffalo, Department of Computer Science and Engineering, NY, USA
- Xin He 0006
- Xin He 0007
- Xin He 0008
- Xin He 0009
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2020 – today
- 2025
[i13]Xin He, Junxi Shen, Zhenheng Tang, Xiaowen Chu, Bo Li, Ivor W. Tsang, Yew-Soon Ong:
RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging. CoRR abs/2508.01784 (2025)- [i12]Xin He, Liangliang You, Hongduan Tian, Bo Han, Ivor W. Tsang, Yew-Soon Ong:
Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework. CoRR abs/2510.05158 (2025) - 2024
- [i11]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:
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression. CoRR abs/2410.12707 (2024) - [i10]Xin He, Shunkang Zhang, Yuxin Wang, Haiyan Yin, Zihao Zeng, Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Ivor W. Tsang, Yew-Soon Ong:
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference. CoRR abs/2410.17954 (2024) - 2023
- [c7]Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu:
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. AAAI 2023: 7839-7847 - [i9]Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu:
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs. CoRR abs/2309.01172 (2023) - [i8]Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu:
Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining. CoRR abs/2310.12670 (2023) - 2022
- [c6]Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu:
EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs. ECCV (16) 2022: 37-53 - [c5]Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu:
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. ICML 2022: 21111-21132 - [c4]Xin He, Guohao Ying, Jiyong Zhang, Xiaowen Chu:
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification. MICCAI (1) 2022: 560-570 - [i7]Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu:
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. CoRR abs/2206.02465 (2022) - [i6]Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu:
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. CoRR abs/2211.12759 (2022) - 2021
- [j1]Xin He, Kaiyong Zhao, Xiaowen Chu:
AutoML: A survey of the state-of-the-art. Knowl. Based Syst. 212: 106622 (2021) - [c3]Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding:
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. AAAI 2021: 4821-4829 - [i5]Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding:
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans. CoRR abs/2101.05442 (2021) - [i4]Xin He, Shihao Wang, Guohao Ying, Jiyong Zhang, Xiaowen Chu:
Efficient Multi-objective Evolutionary 3D Neural Architecture Search for COVID-19 Detection with Chest CT Scans. CoRR abs/2101.10667 (2021) - [i3]Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu:
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs. CoRR abs/2111.15097 (2021) - 2020
- [c2]Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu:
Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training. CCGRID 2020: 744-751
2010 – 2019
- 2019
- [c1]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:
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. IEEE BigData 2019: 4839-4844 - [i2]Xin He, Kaiyong Zhao, Xiaowen Chu:
AutoML: A Survey of the State-of-the-Art. CoRR abs/1908.00709 (2019) - [i1]Xin He, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu:
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. CoRR abs/1911.08705 (2019)
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