Orientation estimation and grasp type detection of household objects for upper limb prostheses with dynamic vision sensor. - Siyi Tang; Rohan Ghosh; Nitish V. Thakor; Sunil L. Kukreja (BioCAS, 2016)

Live demonstration: Real-time orientation estimation and grasping of household objects for upper limb prostheses with a dynamic vision sensor. - Siyi Tang; Rohan Ghosh; Nitish V. Thakor; Sunil L. Kukreja (BioCAS, 2016)

Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM. - Rohan Ghosh; Siyi Tang; Mahdi Rasouli; Nitish V. Thakor; Sunil L. Kukreja (ICANN (2), 2016)

Spatiotemporal Feature Learning for Event-Based Vision. - Rohan Ghosh; Anupam K. Gupta; Siyi Tang; Alcimar Soares; Nitish V. Thakor (CoRR, 2019)

Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset. - Siyi Tang; Amirata Ghorbani; Rikiya Yamashita; Sameer Rehman; Jared A. Dunnmon; James Y. Zou; Daniel L. Rubin (CoRR, 2020)

Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. - Florian Dubost; Erin Hong; Daniel Y. Fu; Nandita Bhaskhar; Siyi Tang; Khaled Saab 002; Daniel L. Rubin; Jared Dunnmon; Christopher Lee-Messer (CoRR, 2020)

Emotion Detection in Online Social Networks: A Multilabel Learning Approach. - Xiao Zhang 015; Wenzhong Li; Haochao Ying; Feng Li 002; Siyi Tang; Sanglu Lu (IEEE Internet Things J., 2020)

Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. - Sutanay Choudhury; Khushbu Agarwal; Colby Ham; Pritam Mukherjee; Siyi Tang; Sindhu Tipirneni; Veysel Kocaman; Suzanne Tamang; Robert Rallo; Chandan K. Reddy (AMIA, 2021)

Comprehensive Evaluation Method of Job Satisfaction Based on Improved Analytic Hierarchy Process. - Nanru Dai; Ren Deng; Siyi Tang; Shanshan Zhang; Xijie Li (ICCMS, 2021)

Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training. - Siyi Tang; Jared A. Dunnmon; Khaled Saab 002; Xuan Zhang; Qianying Huang; Florian Dubost; Daniel L. Rubin; Christopher Lee-Messer (CoRR, 2021)

Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels. - Florian Dubost; Khaled Kamal Saab; Erin Hong; Daniel Yang Fu; Max Pike; Siddharth Sharma; Siyi Tang; Nandita Bhaskhar; Christopher Lee-Messer; Daniel L. Rubin (CoRR, 2021)

Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset. - Rebecca Sawyer Lee; Jared A. Dunnmon; Ann He; Siyi Tang; Christopher Ré; Daniel L. Rubin (J. Biomed. Informatics, 2021)

Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. - Amara Tariq; Siyi Tang; Hifza Sakhi; Leo Anthony Celi; Janice M. Newsome; Daniel L. Rubin; Hari Trivedi; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (AMIA, 2022)

Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. - Siyi Tang; Jared Dunnmon; Khaled Kamal Saab; Xuan Zhang; Qianying Huang; Florian Dubost; Daniel L. Rubin; Christopher Lee-Messer (ICLR, 2022)

Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. - Siyi Tang; Amara Tariq; Jared Dunnmon; Umesh Sharma; Praneetha Elugunti; Daniel L. Rubin; Bhavik N. Patel; Imon Banerjee (CoRR, 2022)

Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models. - Siyi Tang; Jared A. Dunnmon; Liangqiong Qu; Khaled Kamal Saab; Christopher Lee-Messer; Daniel L. Rubin (CoRR, 2022)

Nonbistable rectified linear unit-based gain-dissipative Ising spin network with stochastic resonance effect. - Zhiqiang Liao; Kaijie Ma; Siyi Tang; Hiroyasu Yamahara; Munetoshi Seki; Hitoshi Tabata (J. Comput. Sci., 2022)

Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. - Siyi Tang; Jared A. Dunnmon; Liangqiong Qu; Khaled Kamal Saab; Tina Baykaner; Christopher Lee-Messer; Daniel L. Rubin (CHIL, 2023)

Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. - Amara Tariq; Siyi Tang; Hifza Sakhi; Leo Anthony Celi; Janice M. Newsome; Daniel L. Rubin; Hari Trivedi; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (NER, 2023)

Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing. - Florian Dubost; Erin Hong; Siyi Tang; Nandita Bhaskhar; Christopher Lee-Messer; Daniel L. Rubin (WACV, 2023)

Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. - Siyi Tang; Amara Tariq; Jared A. Dunnmon; Umesh Sharma; Praneetha Elugunti; Daniel L. Rubin; Bhavik N. Patel; Imon Banerjee (IEEE J. Biomed. Health Informatics, 2023)

COVID-19 Rumor Detection Based on Heterogeneous Graph Convolutional Network with Cross-Domain Contrastive Learning. - Siyi Tang; Zhong Qian; Chengwei Liu; Peifeng Li; Qiaoming Zhu (ICIC (LNAI 4), 2024)

Towards trustworthy seizure onset detection using workflow notes. - Khaled Saab 002; Siyi Tang; Mohamed Taha; Christopher Lee-Messer; Christopher Ré; Daniel L. Rubin (npj Digit. Medicine, 2024)

Evidence-Augmented Generative Explanation for Health Rumor Detection. - Siyi Tang; Zhong Qian; Peifeng Li; Qiaoming Zhu (ICIC (23), 2025)