洪申達
職稱：助理教授、副研究員
辦公地點：北京大學醫學部醫學科技樓西樓5層
郵箱：hongshenda@pku.edu.cn
個人簡介
北京大學健康醫療大數據國家研究院助理教授、副研究員、博士生導師，研究方向為電子病歷、生理信號等醫療時序數據的人工智能算法研究及臨床應用。目前主持國家自然科學基金青年科學基金項目1項，在TPAMI、TKDE、KDD、WWW、ICML、AAAI、IJCAI等會議期刊上發表論文50余篇，其中第一/通訊作者（含共同）論文30余篇。擔任SPJ Health Data Science期刊Associate Editor，擔任KDD、ICLR、ICML、NeurIPS、The Lancet Digital Health、NPJ Digital Medicine等國際會議和期刊的PC Member或審稿人。曾獲得PhysioNet Challenge 2017 First Place、第五屆中國"互聯網+"大學生創新創業大賽全國金獎等，相關產品已取得醫療器械注冊證。個人主頁 https://hsd1503.github.io/
2022/08-今，北京大學 健康醫療大數據國家研究院，助理教授/副研究員/博士生導師
2020/09-2022/07，北京大學 健康醫療大數據國家研究院，博雅博士后/助理研究員
2019/09-2020/08，佐治亞理工學院 計算科學與工程學院、哈佛醫學院 麻省總醫院，博士后
2014/09-2019/06，北京大學 信息科學技術學院 智能科學系，理學博士
2010/09-2014/06，北京郵電大學 理學院 數學系，理學學士
主要研究方向
電子病歷、生理信號等醫療時序數據的人工智能算法研究及臨床應用。
代表性科研項目
2022-2024，主持，國家自然科學基金青年項目
健康醫療時序數據上結合人工特征和深度神經網絡的算法研究
代表性論文
1. [AJH 2022] Xiao-Dong Mo#, Shen-Da Hong#, Yan-Li Zhao, Er-Lie Jiang, Jing Chen, Yang Xu, Zi-Min Sun, Wei-Jie Zhang, Qi-Fa Liu, Dai-Hong Liu, Ding-Ming Wan, Wen-Jian Mo, Han-Yun Ren, Ting Yang, He Huang, Xi Zhang, Xiao-Ning Wang, Xian-Min Song, Su-Jun Gao, Xin Wang, Yi Chen, Bing Xu, Ming Jiang, Xiao-Bing Huang, Xin Li, Hong-Yu Zhang, Hong-Tao Wang, Zhao Wang, Ting Niu, Ji-Shi Wang, Ling-Hui Xia, Xiao-Dan Liu, Fei Li, Fang Zhou, Tao Lang, Jiong Hu, Sui-Jing Wu, Xiao-Jun Huang. Basiliximab for Steroid-refractory Acute Graft-versus-host Disease: A Real-world Analysis. American Journal of Hematology 2022 Apr;97(4):458-469.
2. [ICML 2022] Ling Yang, Shenda Hong*. Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion. International Conference on Machine Learning (ICML) 2022, 25038-25054. Acceptance rate 21.9% (1235/5630). (CCF-A)
3. [ICML 2022] Ling Yang, Shenda Hong*. Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. International Conference on Machine Learning (ICML) 2022, 25022-25037. Acceptance rate 21.9% (1235/5630). (CCF-A)
4.[AAAI 2022] Xiang Lan, Dianwen Ng, Shenda Hong*, Mengling Feng*. Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. AAAI Conference on Artificial Intelligence (AAAI) 2022, 4532-4540. Acceptance rate 15.0% (1349/9020). (CCF-A)
5. [IJCAI 2022] Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong*, Hongyan Li*. Hypergraph Structure Learning for Hypergraph Neural Networks. In Proceedings of the 31th International Joint Conference on Artificial Intelligence, IJCAI 2022, 1923-1929. Acceptance rate 14.9% (679/4535). (CCF-A)
6. [WWW 2020] Shenda Hong, Zhaoji Fu, Rongbo Zhou, Jie Yu, Yongkui Li, Kai Wang, Guanlin Cheng. CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram. In the Web Conference (WWW) 2020, 148-152.
7. [KDD 2020] Shenda Hong#, Yanbo Xu#, Alind Khare#, Satria Priambada#, Kevin Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov. HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2020, 1614-1624. Acceptance rate 16.9% (216/1279). (CCF-A)
8. [IJCAI 2019] Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun. MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, pages 5888-5894, 2019. Acceptance rate 17.9% (850/4752). (CCF-A)
9. [IJCAI 2019] Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun. RDPD: Rich Data Helps Poor Data via Imitation. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, pages 5895-5901, 2019. Acceptance rate 17.9% (850/4752). (CCF-A)
10. [PMEA 2019] Shenda Hong, Yuxi Zhou, Meng Wu, Junyuan Shang, Qingyun Wang, Hongyan Li, Junqing Xie. Combining Deep Neural Networks and Engineered Features for Cardiac Arrhythmia Detection from ECG Recordings. Physiological Measurement, 40(5):054009, 2019. (IOP Publishing 2021 Top 1% Cited Paper Award)
本課題組招收科研助理、博士生，與北京大學智能學院、醫學部附屬醫院、可穿戴及醫療設備廠商等有密切合作，有意者請將個人簡歷發至hongshenda@pku.edu.cn
