Shenda Hong

2026

doi dblp
LLM-GC: Advancing Granger Causal Discovery from Time Series with Multimodel Language Modeling.
Bo Liu|Hongyan Li|Shenda Hong
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026

2022

doi dblp
Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units.
Derun Cai|Moxian Song|Chenxi Sun|Baofeng Zhang|Shenda Hong|Hongyan Li
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
Confidence-Guided Learning Process for Continuous Classification of Time Series.
Chenxi Sun|Moxian Song|Derun Cai|Baofeng Zhang|Shenda Hong|Hongyan Li
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

2021

doi dblp
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings.
Trong Nghia Hoang|Shenda Hong|Cao Xiao|Bryan Low|Jimeng Sun
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.

2020

doi dblp
CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram.
Shenda Hong|Zhaoji Fu|Rongbo Zhou|Jie Yu|Yongkui Li|Kai Wang|Guanlin Cheng
Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020