| 2026 | DASFAA | From Knowledge to Causality: Self-supervised Representation Learning for Granger Causal Discovery in Groups of Time Series. | Bo Liu, Di Dai, Hongyan Li, Shenda Hong |
| 2026 | WSDM | LLM-GC: Advancing Granger Causal Discovery from Time Series with Multimodel Language Modeling. | Bo Liu, Hongyan Li, Shenda Hong |
| 2025 | ICDM | DiffuGC: Diffusion Model Can Help Discover Granger Causality from Interventional Time Series. | Bo Liu, Hongyan Li, Shenda Hong |
| 2025 | ICLR | Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model. | Jiarui Jin, Haoyu Wang, Hongyan Li, Jun Li, Jiahui Pan, Shenda Hong |
| 2025 | ICLR | Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint. | Guangkun Nie, Gongzheng Tang, Shenda Hong |
| 2024 | ICLR | Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. | Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng |
| 2024 | ICLR | VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. | Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec |
| 2024 | ICLR | TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. | Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong |
| 2024 | KDD | Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. | Shenda Hong, Daoxin Yin, Gongzheng Tang, Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, Mai Wang, Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang |
| 2022 | AAAI | Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. | Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng |
| 2022 | CIKM | 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 |
| 2022 | CIKM | Confidence-Guided Learning Process for Continuous Classification of Time Series. | Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li |
| 2022 | ICML | Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. | Ling Yang, Shenda Hong |
| 2022 | ICML | Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion. | Ling Yang, Shenda Hong |
| 2022 | IJCAI | Hypergraph Structure Learning for Hypergraph Neural Networks. | Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li |
| 2022 | SDM | Hypergraph Contrastive Learning for Electronic Health Records. | Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li |
| 2022 | SDM | GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. | Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li |
| 2021 | IJCAI | TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. | Chenxi Sun, Shenda Hong, Moxian Song, Yen-hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li |
| 2021 | WWW | 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 |
| 2020 | ICDM | ViVA: Semi-supervised Visualization via Variational Autoencoders. | Sungtae An, Shenda Hong, Jimeng Sun |
| 2020 | KDD | HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. | Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov |
| 2020 | WWW | 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 |
| 2019 | IJCAI | RDPD: Rich Data Helps Poor Data via Imitation. | Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun |
| 2019 | IJCAI | MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. | Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun |
| 2019 | IJCAI | K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. | Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie |
| 2018 | ACML | Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. | Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li |
| 2017 | APWEB | Event2vec: Learning Representations of Events on Temporal Sequences. | Shenda Hong, Meng Wu, Hongyan Li, Zhengwu Wu |
| 2017 | PAKDD | Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization. | Shenda Hong, Meng Wu, Jinbo Zhang, Hongyan Li |
| 2016 | AAAI | Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition. | Shenda Hong, Zhen Qiu, Jinbo Zhang, Hongyan Li |
| 2016 | AAAI | A Novel Method for Mining Semantics from Patterns over ECG Data. | Zhen Qiu, Feifei Li, Shenda Hong, Hongyan Li |
| 2016 | APWEB | FVBM: A Filter-Verification-Based Method for Finding Top-k Closeness Centrality on Dynamic Social Networks. | Yiyong Lin, Jinbo Zhang, Yuanxiang Ying, Shenda Hong, Hongyan Li |
| 2016 | APWEB | Real-Time Anomaly Detection over ECG Data Stream Based on Component Spectrum. | Meng Wu, Zhen Qiu, Shenda Hong, Hongyan Li |
| 2014 | ADMA | A Segment-Wise Method for Pseudo Periodic Time Series Prediction. | Ning Yin, Shanshan Wang, Shenda Hong, Hongyan Li |