基本信息
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职业迁徙
个人简介
Chaoyang He has received a number of awards in academia and industry, including Amazon ML Fellowship (2021-2022), Qualcomm Innovation Fellowship (2021-2022), Tencent Outstanding Staff Award (2015-2016), WeChat Special Award for Innovation (2016), Baidu LBS Group Star Awards (2013), and Huawei Golden Network Award (2012). During his Ph.D. study, he has published papers at ICML, NeurIPS, CVPR, ICLR, AAAI, MLSys, among others. Besides pure research, he also has R&D experience for Internet products and businesses such as Tencent Cloud, Tencent WeChat Automotive / AI in Car, Tencent Games, Tencent Maps, Baidu Maps, and Huawei Smartphone. He obtained three years of experience in R&D team management at Tencent between 2016-2018. With his advisors, he also co-founds FedML.ai, built based on a paper that won Best Paper Award at NeurIPS 2020 FL workshop. [Production, Awards]
His long-term research goal is to develop Internet-scale networked and trustworthy AI/ML, which enables billion-level ML agent/workload to solve complex problems in a collaborative, scalable, secure, automated, sequential, sustainable, and ubiquitous manner in the networked system that involves the cloud, the communication channel, and the edge device.
研究兴趣
论文共 44 篇作者统计合作学者相似作者
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CoRR (2024)
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arxiv(2023)
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Shanshan Han,Baturalp Buyukates, Zijian Hu, Han Jin,Weizhao Jin,Lichao Sun,Xiaoyang Wang, Wenxuan Wu,Chulin Xie, Yuhang Yao,Kai Zhang,Qifan Zhang,
CoRR (2023)
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMSno. 12 (2023): 10711-10723
Zhenheng Tang,Xiaowen Chu, Ryan Yide Ran,Sunwoo Lee,Shaohuai Shi,Yonggang Zhang,Yuxin Wang, Alex Qiaozhong Liang,Salman Avestimehr,Chaoyang He
arxiv(2023)
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