| AutoML: A survey of the state-of-the-art X He, K Zhao, X Chu Knowledge-based systems 212, 106622, 2021 | 1973 | 2021 |
| Virtual homogeneity learning: Defending against data heterogeneity in federated learning Z Tang, Y Zhang, S Shi, X He, B Han, X Chu International Conference on Machine Learning, 21111-21132, 2022 | 101 | 2022 |
| Benchmarking the performance and energy efficiency of AI accelerators for AI training Y Wang, Q Wang, S Shi, X He, Z Tang, K Zhao, X Chu 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020 | 85 | 2020 |
| Benchmarking deep learning models and automated model design for COVID-19 detection with chest CT scans X He, S Wang, S Shi, X Chu, J Tang, X Liu, C Yan, J Zhang, G Ding MedRxiv, 2020.06. 08.20125963, 2020 | 63 | 2020 |
| Automated model design and benchmarking of deep learning models for covid-19 detection with chest ct scans X He, S Wang, X Chu, S Shi, J Tang, X Liu, C Yan, J Zhang, G Ding Proceedings of the AAAI conference on artificial intelligence 35 (6), 4821-4829, 2021 | 51 | 2021 |
| Fusionai: Decentralized training and deploying llms with massive consumer-level gpus Z Tang, Y Wang, X He, L Zhang, X Pan, Q Wang, R Zeng, K Zhao, S Shi, ... arXiv preprint arXiv:2309.01172, 2023 | 29 | 2023 |
| Evolutionary multi-objective architecture search framework: Application to covid-19 3d ct classification X He, G Ying, J Zhang, X Chu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 23* | 2022 |
| EAGAN: Efficient two-stage evolutionary architecture search for GANs G Ying, X He, B Gao, B Han, X Chu European conference on computer vision, 37-53, 2022 | 22 | 2022 |
| BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems XC Yuxin Wang, Yuhan Chen, Zeyu Li, Xueze Kang, Zhenheng Tang, Xin He, Rui ... arXiv preprint arXiv:2401.17644, 2024 | 19* | 2024 |
| Computer-aided clinical skin disease diagnosis using cnn and object detection models X He, S Wang, S Shi, Z Tang, Y Wang, Z Zhao, J Dai, R Ni, X Zhang, X Liu, ... 2019 IEEE international conference on big data (Big Data), 4839-4844, 2019 | 15 | 2019 |
| Nas-lid: Efficient neural architecture search with local intrinsic dimension X He, J Yao, Y Wang, Z Tang, KC Cheung, S See, B Han, X Chu Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7839-7847, 2023 | 11 | 2023 |
| Fault-Tolerant Hybrid-Parallel Training at Scale with Reliable and Efficient In-memory Checkpointing Y Wang, S Shi, X He, Z Tang, X Pan, Y Zheng, X Wu, AC Zhou, B He, ... arXiv preprint arXiv:2310.12670, 2024 | 9* | 2024 |
| MedPipe: End-to-End Joint Search of Data Augmentation Policy and Neural Architecture for 3D Medical Image Classification X He, X Chu IEEE International Conference on Medical Artificial Intelligence (IEEE MedAI …, 2023 | 5* | 2023 |
| Fusionllm: A decentralized llm training system on geo-distributed gpus with adaptive compression Z Tang, X Kang, Y Yin, X Pan, Y Wang, X He, Q Wang, R Zeng, K Zhao, ... arXiv preprint arXiv:2410.12707, 2024 | 3 | 2024 |
| ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference X He, S Zhang, Y Wang, H Yin, Z Zeng, S Shi, Z Tang, X Chu, I Tsang, ... https://arxiv.org/abs/2410.17954, 2024 | 2 | 2024 |
| Automated Machine Learning and Its Applications X He Doctoral Thesis, 2023 | | 2023 |
Xiaowen ChuIEEE Fellow, Professor, Data Science and Analytics, HKUST(GZ)Верификована је имејл адреса на ust.hk