(# equal contributions, * corresponding author)
2023
[BSPC 2023] Wenrui Zhang, Shijia Geng, Shenda Hong*. A Simple Self-Supervised ECG Representation Learning Method via Manipulated Temporal-Spatial Reverse Detection. Biomedical Signal Processing and Control79(2023): 104194(IF=5.076, JCR Q2)
2022
[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)
[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)
[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)
[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, 2022, 1923-1929. Acceptance rate 14.9% (679/4535). (CCF-A)
[TKDE 2022] Cao Xiao#, Trong-Nghia Hoang#, Shenda Hong#, Tengfei Ma, Jimeng Sun. CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE Transactions on Knowledge and Data Engineering 34(2): 531-543 (2022). (CCF-A, IF=9.235, JCR Q1)
[SDM 2022] Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong*, Hongyan Li*. Hypergraph Contrastive Learning for Electronic Health Records. SIAM International Conference on Data Mining (SDM) 2022, 127-135. Acceptance rate 27.8% (83/298). (CCF-B)
[SDM 2022] Yen-Hsiu Chou, Shenda Hong*, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li*. GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. SIAM International Conference on Data Mining (SDM) 2022, 451-458. Acceptance rate 27.8% (83/298). (CCF-B)
[CIKM 2022] Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong*, Hongyan Li*. Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units. The Conference on Information and Knowledge Management (CIKM) 2022. (CCF-B)
[CIKM 2022] Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong*, Hongyan Li*. Confidence-Guided Learning Process for Continuous Classification of Time Series. The Conference on Information and Knowledge Management (CIKM) 2022. (CCF-B)
[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. (IF=13.265, JCR Q1)
[INS 2022] Moxian Song, Hongyan Li*, Chenxi Sun, Derun Cai, Shenda Hong*. DLSA: Semi-Supervised Partial Label Learning via Dependence-Maximized Label Set Assignment. Information Sciences 609 (2022) 1169-1180. (CCF-B, IF=8.233, JCR Q1)
[INS 2022] Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong*, Hongyan Li*. Classifying Vaguely Labeled Data Based on Evidential Fusion. Information Sciences 583 (2022) 159-173. (CCF-B, IF=8.233, JCR Q1)
[Experimental Hematology & Oncology 2022] Meng-Zhu Shen#, Shen-Da Hong#, Rui Lou, Rui-Ze Chen, Xiao-Hui Zhang, Lan-Ping Xu, Yu Wang, Chen-Hua Yan, Huan Chen, Yu-Hong Chen, Wei Han, Feng-Rong Wang, Jing-Zhi Wang, Kai-Yan Liu, Xiao-Jun Huang, Xiao-Dong Mo. A Comprehensive Model to Predict Severe Acute Graft-Versus-Host Disease after Haploidentical Hematopoietic Stem Cell Transplantation. Experimental Hematology & Oncology 2022 May 3;11(1):25. (IF=8.593, JCR Q1)
[Front. Cell. Infect. Microbiol. 2022] MengZhu Shen#, Shenda Hong#, Jie Wang, Xiaohui Zhang, Lanping Xu, Yu Wang, Chen-Hua Yan, Huan Chen, Yu-Hong Chen, Wei Han, Feng-Rong Wang, Jing-Zhi Wang, Kai-Yan Liu, Xiao-Jun Huang, Xiao-Dong Mo. A Predicted Model for Refractory/Recurrent Cytomegalovirus Infection in Acute Leukemia Patients after Haploidentical Hematopoietic Stem Cell Transplantation. Frontiers in Cellular and Infection Microbiology, 12, 862526. (IF=6.073, JCR Q1)
[BSPC 2022] Yifei Feng, Shijia Geng, Jianjun Chu, Zhaoji Fu, Shenda Hong*. Building and Training a Deep Spiking Neural Network for ECG Classification. Biomedical Signal Processing and Control 77 (2022): 103749. (IF=5.076, JCR Q2)
[PRL 2022] Zhaoji Fu, Can Wang, Guodong Wei, Wenrui Zhang, Shaofu Du, Shenda Hong*. HITS: Binarizing Physiological Time Series with Deep Hashing Neural Network. Pattern Recognition Letters 156 (2022): 23-28. (CCF-C, IF=4.757, JCR Q2)
[Front. Physiol. 2022] Shenda Hong*#, Wenrui Zhang#, Chenxi Sun, Yuxi Zhou, Hongyan Li*. Practical Lessons of 12-lead ECG Classification: Meta-Analysis of Methods from PhysioNet/Computing in Cardiology Challenge 2020. Frontiers in Physiology (2022): 2505. (IF=4.755, JCR Q1)
[PMEA 2022] Chenxi Sun, Shenda Hong*, Jingyu Wang, Xiaosong Dong, Fang Han, Hongyan Li*. A Systematic Review of Deep Learning Methods for Modeling Electrocardiograms during Sleep. Physiological Measurement 43, 08TR02. (IF=2.688, JCR Q3)
[Epileptic Disord. 2022] Nitish M Harid, Jin Jing, Jacob Hogan, Fábio A Nascimento, An Ouyang, Wei-Long Zheng, Wendong Ge, Sahar F Zafar, Jennifer A Kim, Alice D Lam, Aline Herlopian, Douglas Maus, Ioannis Karakis, Marcus Ng, Shenda Hong, Yu Zhu, Peter W Kaplan, Sydney Cash, Mouhsin Shafi, Gabriel Martz, Jonathan J Halford, Michael Brandon Westover. Measuring Expertise in Identifying Interictal Epileptiform Discharges. Epileptic Disorders 24, no. 3 (2022): 496-506. (IF=2.333, JCR Q4)
[HDS 2022] Yicen Yan#, Shenda Hong#, Wensheng Zhang, Hang Li. Artificial Intelligence in Skin Diseases: Fulfilling its Potentials to Meet the Real Needs in Dermatology Practice. SPJ Health Data Science, Volume 2022, Article ID 9791467.
[HRS 2022] Yang Zhou, Yu Chen, Deyun Zhang, Shijia Geng, Guodong Wei, Ying Tian, Shenda Hong, Xingpeng Liu. Use Of a Deep Learning Algorithm to Predict Paroxysmal Atrial Fibrillation Based on Printed Electrocardiographic Records Acquired during Sinus Rhythm. Heart Rhythm 19, no. 5 (2022): S285-S286.
2021
[CMPB 2021] Shenda Hong*, Can Wang, Zhaoji Fu. Gated Temporal Convolutional Neural Network and Expert Features for Diagnosing and Explaining Physiological Time Series: A Case Study on Heart Rates. Computer Methods and Programs in Biomedicine 200 (2021): 105847. (IF=7.027, JCR Q1)
[HDS 2021] Shenda Hong, Xinlin Hou, Jin Jing, Wendong Ge, Luxia Zhang. Predicting Risk of Mortality in Pediatric ICU based on Ensemble Step-wise Feature Selection. SPJ Health Data Science, Volume 2021, Article ID 9365125.
[FRONT IMMUNOL 2021] Meng-Zhu Shen, Jing-Xia Li, Xiao-Hui Zhang, Lan-Ping Xu, Yu Wang, Kai-Yan Liu, Xiao-Jun Huang, Shen-Da Hong*, Xiao-Dong Mo*. Meta-analysis of interleukin-2 receptor antagonists as a second-line treatment for steroid-refractory acute graft-versus-host disease. Frontiers in Immunology (2021): 3815. (IF=8.786, JCR Q1)
[Sensors 2021] Zhaoji Fu, Shenda Hong*, Rui Zhang, Shaofu Du. Artificial-Intelligence Enhanced Mobile System for Cardiovascular Health Management. Sensors 21 (3), 773. (IF=3.847, JCR Q2)
[TPAMI 2021] Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, Jose F. Rodrigues-Jr, Jimeng Sun. Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 44, no. 9 (2021): 5368-5384. (CCF-A, IF=24.314, JCR Q1)
[IJCAI 2021] Chenxi Sun, Shenda Hong, Moxian Song, Yanxiu Zhou, Yongyue Sun, Derun Cai, Hongyan Li. TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. In Proceedings of the 30th International Joint Conference on Artificial Intelligence, 2021, 3010-3016. Acceptance rate 13.9% (587/4204). (CCF-A)
[WWW 2021] Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun. AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. In the Web Conference 2021, 3569-3581. Acceptance rate 20.6% (357/1736). (CCF-A)
[Resuscitation 2021] Wei-Long Zheng, Edilberto Amorim, Jin Jing, Wendong Ge, Shenda Hong, Ona Wu, Mohammad Ghassemi et al. Predicting Neurological Outcome in Comatose Patients after Cardiac Arrest with Multiscale Deep Neural Networks. Resuscitation 169 (2021): 86-94. (IF=6.251, JCR Q1)
[BSPC 2021] Chenxi Sun, Shenda Hong, Moxian Song, Junyuan Shang, Hongyan Li. Personalized Vital Signs Control Based on Continuous Action-Space Reinforcement Learning with Supervised Experience. Biomedical Signal Processing and Control 69, 102847. (IF=5.076, JCR Q2)
[BMC-MIDM 2021] Chenxi Sun, Shenda Hong, Moxian Song, Zhenjie Wang, Hongyan Li. Predicting COVID-19 Disease Progression and Patient Outcomes based on Temporal Deep Learning. BMC Medical Informatics and Decision Making, 21(1), 1-16. (IF=3.298, JCR Q3)
[JNM 2021] Wendong Ge, Jin Jing, Sungtae An, Aline Herlopian, Marcus Ng, Aaron F Struck, Brian Appavu, Emily L. Johnson, Gamaleldin Osman, Hiba A. Haider, Ioannis Karakis, Jennifer A. Kim, Jonathan J. Halford, Monica B. Dhakar, Rani A. Sarkis, Christa B. Swisher, Sarah Schmitt, Jong Woo Lee, Mohammad Tabaeizadeh, Andres Rodriguez, Nicolas Gaspard, Emily Gilmore, Susan T. Herman, Peter W. Kaplan, Jay Pathmanathan, Shenda Hong, Eric S. Rosenthal, Sahar Zafar, Jimeng Sun, M. Brandon Westover. Deep Active Learning for Interictal Ictal Injury Continuum EEG Patterns. Journal of Neuroscience Methods 351, 108966. (IF=2.987, JCR Q3)
[HRS 2021] Yang Zhou, Shiquan Chen, Yangjing Xue, Shenda Hong, Guodong Wei, Ying Tian, Xingpeng Liu. Identifying the Origin of Outflow Tract Ventricular Arrhythmias Based on Printed Electrocardiographic Records with an Artificial Intelligence Algorithm. Heart Rhythm 18 (8), S167.
2020
[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, 1614-1624. Acceptance rate 16.9% (216/1279). (CCF-A)
[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 2020, 148-152. (CCF-A)
[Neurocomputing 2020] Shenda Hong, Can Wang, Zhaoji Fu. CardioID: Learning to Identification from Electrocardiogram Data. Neurocomputing 412, 11-18. (CCF-C, IF=5.779, JCR Q2)
[CBM 2020] Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun. Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review. Computers in Biology and Medicine 2020, 103801. (IF=6.698, JCR Q1)
[ICDM 2020] Sungtae An, Shenda Hong, Jimeng Sun. ViVA: Semi-supervised Visualization via Variational Autoencoder. 20th IEEE International Conference on Data Mining, 22-31. Acceptance rate 9.8% (91/930). (CCF-B)
[Neurocomputing 2020] Yen-hsiu Chou, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, Hongyan Li. Knowledge-Shot Learning: An Interpretable Deep Model for Classifying Imbalanced Electrocardiography Data. Neurocomputing 417, 64-73. (CCF-C, IF=5.779, JCR Q2)
[Sensors 2020] Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie. Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. Sensors 20 (24), 7307. (IF=3.847, JCR Q2)
[BMC Public Health 2020] Zhenjie Wang, Hanmo Yang, Pianpian Zheng, Bei Liu, Zhanyuan Guo, Shen Geng, Shenda Hong. Life Negative Events and Depressive Symptoms: the China Longitudinal Ageing Social Survey, BMC Public Health 20, 968 (2020). (IF=4.135, JCR Q2)
[Circulation 2020] Alaa Aljiffry, Yanbo Xu, Shenda Hong, Justin Long, Jimeng Sun, Kevin Maher. Artificial Intelligence and Clinical Stability After the Norwood Operation. Circulation, 142(Suppl_3), A14846-A14846.
2019
[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)
[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)
[IJCAI 2019] Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie. K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, pages 6057-6063, 2019. Acceptance rate 17.9% (850/4752). (CCF-A)
[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. (IF=2.688, JCR Q3) (IOP Publishing 2021 Top Cited Paper Award, Top 1%)
2018 andBefore
[ACML 2018] Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li. Knowledge Guided Multi-Instance Multi-Label Learning via Neural Networks in Medicines Prediction. In Proceedings of The 10th Asian Conference on Machine Learning, ACML 2018, Beijing, China, November 14-16, 2018, pages 831-846, 2018. (CCF-C)
[CinC 2017] Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie. ENCASE: an Ensemble Classifier for ECG Classification using Expert Features and Deep Neural Networks. In Computing in Cardiology, CinC 2017, Rennes, France, September 24-27, 2017. (First Place of the 18th PhysioNet/Computing in Cardiology Challenge)
[APWeb-WAIM 2017] Shenda Hong, Meng Wu, Hongyan Li, Zhengwu Wu. Event2vec: Learning Representations of Events on Temporal Sequences. In Web and Big Data - First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part II, pages 33-47, 2017. (CCF-C)
[PAKDD 2017] Shenda Hong, Meng Wu, Jinbo Zhang, Hongyan Li. Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization. In Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I, pages 671-682, 2017. Acceptance rate 9.8% (45/458). (CCF-C)
[DMBD 2017] Jinbo Zhang, Shenda Hong, Yiyong Lin, Yanchao Mou, Hongyan Li. Finding the Typical Communication Black Hole in Big Data Environment. In Data Mining and Big Data - Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, pages 255-262, 2017.
[DMBD 2017] Jinbo Zhang, Yipeng Chen, Shenda Hong, Hongyan Li. REBUILD: Graph Embedding based Method for User Social Role Identity on Mobile Communication Network. In Data Mining and Big Data - Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, pages 326-333, 2017.
[AAAI-HIAI 2016] Shenda Hong, Zhen Qiu, Jinbo Zhang, Hongyan Li. Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition. In Expanding the Boundaries of Health Informatics Using AI, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016, 2016.
[AAAI-HIAI 2016] Zhen Qiu, Feifei Li, Shenda Hong, Hongyan Li. A Novel Method for Mining Semantics from Patterns over ECG Data. In Expanding the Boundaries of Health Informatics Using AI, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016, 2016.
[APWeb 2016] Meng Wu, Zhen Qiu, Shenda Hong, Hongyan Li. Real-time Anomaly Detection over ECG Data Stream based on Component Spectrum. In Web Technologies and Applications - 18th Asia- Pacific Web Conference, APWeb 2016, Suzhou, China, September 23-25, 2016. Proceedings, Part II, pages 56-67, 2016. (CCF-C)
[APWeb 2016] Yiyong Lin, Jinbo Zhang, Yuanxiang Ying, Shenda Hong, Hongyan Li. FVBM: A Filter-Verification-Based Method for Finding Top-k Closeness Centrality on Dynamic Social Networks. In Web Technologies and Applications - 18th Asia-Pacific Web Conference, APWeb 2016, Suzhou, China, September 23-25, 2016. Proceedings, Part II, pages 389-392, 2016. (CCF-C)
[WAIM 2014] Zhen Qiu, Hongyan Li, Shenda Hong, Yiyong Lin, Nana Fan, Gaoyan Ou, Tengjiao Wang, Lilue Fan. Finding Vacant Taxis using Large Scale GPS Traces. In Web-Age Information Management - 15th International Conference, WAIM 2014, Macau, China, June 16-18, 2014. Proceedings, pages 793-804, 2014. (CCF-C)
[ADMA 2014] Ning Yin, Shanshan Wang, Shenda Hong, Hongyan Li. A Segment-wise Method for Pseudo Periodic Time Series Prediction. In Advanced Data Mining and Applications - 10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014. Proceedings, pages 461-474, 2014.
