Personal Website

• 🇸🇬 Research Fellow. School of Computing (SOC), National University of Singapore, 2023-now
• 🇭🇰 Ph.D. Department of Computer Science, Hong Kong Baptist University, 2018-2023
• 🇨🇳 B.E. School of Electronic Information and Communications, Huazhong University of Science and Technology, 2014-2018

My current research focuses automated machine learning (AutoML) and distributed training and inference. Should you seek collaboration opportunities, please do not hesitate to reach out to me.

• AutoML Framework: https://github.com/marsggbo/hyperbox
• CVPR2021 Neural Architecture Search 1st lightweight NAS challenge and moving beyond: 7th pride

• He X, Chu X. MedPipe: End-to-End Joint Search of Data Augmentation Policy and Neural Architecture for 3D Medical Image Classification[C]. IEEE MedAI, 2023.
• He, X., Yao, J., Wang, Y., Tang, Z., Cheung, K. C., See, S., ... & Chu, X. NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. AAAI 2023.
• Ying G, He X, Gao B, et al. EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs[C]. ECCV 2022. (co-first author)
• He, X., Ying, G., Zhang, J., & Chu, X.. Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification. MICCAI 2022.
• Tang, Z., Zhang, Y., Shi, S., He, X., Han, B., & Chu, X. (2022). Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. ICML 2022.
• He X, Zhao K, Chu X. AutoML: A Survey of the State-of-the-Art[J]. Knowledge-Based Systems, 2021, 212: 106622. (1000+citations)
• He, X., Wang, S., Chu, X., Shi, S., Tang, J., Liu, X., Yan, C., Zhang, J., & Ding, G. Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. AAAI, 2021.
• Wang Y, Wang Q, Shi S, He X, et al. Benchmarking the performance and energy efficiency of ai accelerators for ai training[C]//2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE, 2020: 744-751.
• He X, Wang S, Shi S, et al. Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models[C]//2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019: 4839-4844.

• He X, Wang S, Shi S, et al. Benchmarking deep learning models and automated model design for covid-19 detection with chest ct scans[J]. medRxiv, 2020.

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE Transactions on Medical Imaging (TMI)
• IEEE Journal of Biomedical and Health Informatics (JBHI)
• Expert Systems with Applications
• AAAI Conference on Artificial Intelligence (AAAI) 2020/2022
• European Conference on Computer Vision (ECCV) 2022
• Computer Vision and Pattern Recognition Conference (CVPR) 2023
• International Conference on Computer Vision (ICCV) 2023

• 2020/21 Computer Science Department RPg Performance Award, Hong Kong Baptist University. Link
• 2020/21 Best Presentation Award of 2021 PG day
• 2020/21 semester 1, Excellent Teaching Assistant Performance Awards (COMP 7800 Analytic Models in IT Management), Hong Kong Baptist University.
• 2019/20 semester 2, Excellent Teaching Assistant Performance Awards (COMP 7540 IT Management: Principles & Practice), Hong Kong Baptist University.
• 2019/20 semester 1, Excellent Teaching Assistant Performance Awards (COMP 7180 Quantitative Methods for Data Analytics & Artificial Intelligence), Hong Kong Baptist University.

• 09/2020-11/2020, Huawei Noah'S Ark Lab, Shenzhen.
• 06/2021-now, NVIDIA AI Tech Center Joint Collaboration Program.

• ⚡ Email: [email protected]
• 😄 My Cnblog: marsggbo
• 🔭 My Zhihu Column（知乎专栏）: AutoML
• 👯 My WeChat Official Account（微信公众号）: AutoML机器学习