Siyi Tang - RankMe

26 papers A* 1A 1Misc 2Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Evidence-Augmented Generative Explanation for Health Rumor Detection. ICIC (23) Siyi Tang, Zhong Qian, Peifeng Li, Qiaoming Zhu
2024	—	`conf`	COVID-19 Rumor Detection Based on Heterogeneous Graph Convolutional Network with Cross-Domain Contrastive Learning. ICIC (LNAI 4) Siyi Tang, Zhong Qian, Chengwei Liu, Peifeng Li, Qiaoming Zhu
2024	J	`jnl`	Towards trustworthy seizure onset detection using workflow notes. npj Digit. Medicine Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin
2023	—	`conf`	Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. NER Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee
2023	—	`conf`	Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. CHIL Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel L. Rubin
2023	J	`jnl`	Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. IEEE J. Biomed. Health Informatics Siyi Tang, Amara Tariq, Jared A. Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee
2023	A	`conf`	Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing. WACV Florian Dubost, Erin Hong, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin
2023	J	`jnl`	Towards trustworthy seizure onset detection using workflow notes. CoRR Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin
2022	Misc	`conf`	Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. AMIA Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee
2022	J	`jnl`	Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee
2022	J	`jnl`	Nonbistable rectified linear unit-based gain-dissipative Ising spin network with stochastic resonance effect. J. Comput. Sci. Zhiqiang Liao, Kaijie Ma, Siyi Tang, Hiroyasu Yamahara, Munetoshi Seki, Hitoshi Tabata
2022	A*	`conf`	Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. ICLR Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer
2022	J	`jnl`	Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models. CoRR Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Christopher Lee-Messer, Daniel L. Rubin
2021	J	`jnl`	Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training. CoRR Siyi Tang, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer
2021	J	`jnl`	Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset. J. Biomed. Informatics Rebecca Sawyer Lee, Jared A. Dunnmon, Ann He, Siyi Tang, Christopher Ré, Daniel L. Rubin
2021	—	`conf`	Comprehensive Evaluation Method of Job Satisfaction Based on Improved Analytic Hierarchy Process. ICCMS Nanru Dai, Ren Deng, Siyi Tang, Shanshan Zhang, Xijie Li
2021	J	`jnl`	Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels. CoRR Florian Dubost, Khaled Kamal Saab, Erin Hong, Daniel Yang Fu, Max Pike, Siddharth Sharma, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin
2021	Misc	`conf`	Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. AMIA Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy
2020	J	`jnl`	Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset. CoRR Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Y. Zou, Daniel L. Rubin
2020	J	`jnl`	Emotion Detection in Online Social Networks: A Multilabel Learning Approach. IEEE Internet Things J. Xiao Zhang, Wenzhong Li, Haochao Ying, Feng Li, Siyi Tang, Sanglu Lu
2020	J	`jnl`	Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. CoRR Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer
2019	J	`jnl`	Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM. CoRR Rohan Ghosh, Siyi Tang, Mahdi Rasouli, Nitish V. Thakor, Sunil L. Kukreja
2019	J	`jnl`	Spatiotemporal Feature Learning for Event-Based Vision. CoRR Rohan Ghosh, Anupam K. Gupta, Siyi Tang, Alcimar Soares, Nitish V. Thakor
2016	—	`conf`	Live demonstration: Real-time orientation estimation and grasping of household objects for upper limb prostheses with a dynamic vision sensor. BioCAS Siyi Tang, Rohan Ghosh, Nitish V. Thakor, Sunil L. Kukreja
2016	—	`conf`	Orientation estimation and grasp type detection of household objects for upper limb prostheses with dynamic vision sensor. BioCAS Siyi Tang, Rohan Ghosh, Nitish V. Thakor, Sunil L. Kukreja
2016	—	`conf`	Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM. ICANN (2) Rohan Ghosh, Siyi Tang, Mahdi Rasouli, Nitish V. Thakor, Sunil L. Kukreja