Siyi Tang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Spatiotemporal Patterns

Top Venues

Publications

Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin
Towards trustworthy seizure onset detection using workflow notes. npj Digit. Medicine 7 (1) (2024)
Siyi Tang, Zhong Qian, Chengwei Liu, Peifeng Li, Qiaoming Zhu
COVID-19 Rumor Detection Based on Heterogeneous Graph Convolutional Network with Cross-Domain Contrastive Learning. ICIC (LNAI 4) (2024)
Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin
Towards trustworthy seizure onset detection using workflow notes. CoRR (2023)
Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee
Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. NER (2023)
Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel L. Rubin
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. CHIL (2023)
Florian Dubost, Erin Hong, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing. WACV (2023)
Siyi Tang, Amara Tariq, Jared A. Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Christopher Lee-Messer, Daniel L. Rubin
Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models. CoRR (2022)
Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel Rubin, Christopher Lee-Messer
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. ICLR (2022)
Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice Newsome, Daniel Rubin, Hari Trivedi, Judy Gichoya, Bhavik Patel, Imon Banerjee
Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. AMIA (2022)
Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel Rubin, Bhavik N. Patel, Imon Banerjee
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR (2022)
Zhiqiang Liao, Kaijie Ma, Siyi Tang, Hiroyasu Yamahara, Munetoshi Seki, Hitoshi Tabata
Nonbistable rectified linear unit-based gain-dissipative Ising spin network with stochastic resonance effect. J. Comput. Sci. 62 (2022)
Siyi Tang, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer
Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training. CoRR (2021)
Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. AMIA (2021)
Florian Dubost, Khaled Kamal Saab, Erin Hong, Daniel Yang Fu, Max Pike, Siddharth Sharma, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin
Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels. CoRR (2021)
Nanru Dai, Ren Deng, Siyi Tang, Shanshan Zhang, Xijie Li
Comprehensive Evaluation Method of Job Satisfaction Based on Improved Analytic Hierarchy Process. ICCMS (2021)
Rebecca Sawyer Lee, Jared A. Dunnmon, Ann He, Siyi Tang, Christopher Ré, Daniel L. Rubin
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset. J. Biomed. Informatics 113 (2021)
Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Y. Zou, Daniel L. Rubin
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset. CoRR (2020)
Xiao Zhang, Wenzhong Li, Haochao Ying, Feng Li, Siyi Tang, Sanglu Lu
Emotion Detection in Online Social Networks: A Multilabel Learning Approach. IEEE Internet Things J. 7 (9) (2020)
Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer
Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. CoRR (2020)
Rohan Ghosh, Anupam K. Gupta, Siyi Tang, Alcimar Soares, Nitish V. Thakor
Spatiotemporal Feature Learning for Event-Based Vision. CoRR (2019)
Rohan Ghosh, Siyi Tang, Mahdi Rasouli, Nitish V. Thakor, Sunil L. Kukreja
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM. CoRR (2019)
Siyi Tang, Rohan Ghosh, Nitish V. Thakor, Sunil L. Kukreja
Orientation estimation and grasp type detection of household objects for upper limb prostheses with dynamic vision sensor. BioCAS (2016)
Siyi Tang, Rohan Ghosh, Nitish V. Thakor, Sunil L. Kukreja
Live demonstration: Real-time orientation estimation and grasping of household objects for upper limb prostheses with a dynamic vision sensor. BioCAS (2016)
Rohan Ghosh, Siyi Tang, Mahdi Rasouli, Nitish V. Thakor, Sunil L. Kukreja
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM. ICANN (2) (2016)