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2020 – today
- 2024
[j5]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)- [c11]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: 221-232 - 2023
- [j4]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): 2071-2082 (2023) - [c10]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: 50-71 - [c9]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: 1-4 - [c8]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: 1890-1899 - [i9]Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin:
Towards trustworthy seizure onset detection using workflow notes. CoRR abs/2306.08728 (2023) - 2022
- [j3]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: 101722 (2022) - [c7]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 Modeling and Explanation for Disease Trajectory Prediction. AMIA 2022 - [c6]Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer:
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. ICLR 2022 - [i8]Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee:
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR abs/2204.06766 (2022) - [i7]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 abs/2211.11176 (2022) - 2021
- [j2]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: 103656 (2021) - [c5]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 - [c4]Nanru Dai, Ren Deng, Siyi Tang, Shanshan Zhang, Xijie Li:
Comprehensive Evaluation Method of Job Satisfaction Based on Improved Analytic Hierarchy Process. ICCMS 2021: 140-147 - [i6]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 abs/2104.08336 (2021) - [i5]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 abs/2106.02100 (2021) - 2020
- [j1]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): 8133-8143 (2020) - [i4]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 abs/2010.08006 (2020) - [i3]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 abs/2011.14101 (2020)
2010 – 2019
- 2019
- [i2]Rohan Ghosh, Anupam K. Gupta, Siyi Tang, Alcimar Soares, Nitish V. Thakor:
Spatiotemporal Feature Learning for Event-Based Vision. CoRR abs/1903.06923 (2019) - [i1]Rohan Ghosh, Siyi Tang, Mahdi Rasouli, Nitish V. Thakor, Sunil L. Kukreja:
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM. CoRR abs/1903.07873 (2019) - 2016
- [c3]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: 99-102 - [c2]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: 135 - [c1]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: 455-462
Coauthor Index
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