| 2025 | ICFEM | Formal Modeling and Verification of Blockchain Consensus Protocols: A Case Study on ChainMaker. | Minfan Xu, Shuo Zhou, Xian Xu, Huan Long |
| 2025 | MICCAI | Foundation-Model-Boosted Multimodal Learning for fMRI-Based Neuropathic Pain Drug Response Prediction. | Wenrui Fan, L. M. Riza Rizky, Jiayang Zhang, Chen Chen, Haiping Lu, Kevin Teh, Dinesh Selvarajah, Shuo Zhou |
| 2025 | VTC | FH-DMS for Mutual Interference Suppression in Large-Scale In-band Full-Duplex Ad Hoc Networks. | Shuo Zhou, Haiwei Shi, Yiqing Zhou, Ling Liu, Jinglin Shi |
| 2025 | VTC | Sparsity Enabled Low-Complexity SPCG-LMMSE Detector for ODDM Modulation. | Shuo Zhou, Chong Zhang, Jinglin Shi, Jinhong Yuan, Yiqing Zhou, Haiwei Shi |
| 2025 | WCNC | Sparse Graph Attention Network Based Signal Detection for OTFS System. | Yulong Xu, Haiwei Shi, Jinglin Shi, Yiqing Zhou, Shuo Zhou, Congcong Wang, Hanxiao Yu |
| 2024 | CHI | Electrical Muscle Stimulation-Based Approach for Enhancing Hand-eye Coordination Training. | Shuo Zhou, Norihisa Segawa |
| 2024 | GLOBECOM | Iterative Channel Estimation for OTFS-based LEO-Sat Communication Using Comb-type ZC Sequences. | Haiwei Shi, Wang Xing, Yiqing Zhou, Yu Zhang, Shuo Zhou, Jinglin Shi |
| 2024 | MICCAI | Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection. | Mohammod Naimul Islam Suvon, Prasun Chandra Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu |
| 2023 | GLOBECOM | Machine Learning Based Waveform Reconstruction Demodulation Method for Space Borne AIS Signal. | Shuo Zhou, Weijia Gao, Weiqing Mu, Yuanxing Zheng, Zilong Shao, Yuanna He |
| 2023 | MICCAI | Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. | Prasun Chandra Tripathi, Md. Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu |
| 2022 | APWEB | MARS: A Multi-task Ranking Model for Recommending Micro-videos. | Jiageng Song, Beihong Jin, Yisong Yu, Beibei Li, Xinzhou Dong, Wei Zhuo, Shuo Zhou |
| 2022 | CHI | A Virtual Counselor for Breast Cancer Genetic Counseling: Adaptive Pedagogy Leads to Greater Knowledge Gain. | Shuo Zhou, Timothy W. Bickmore |
| 2022 | CIKM | PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. | Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu |
| 2021 | APWEB | A Behavior-Aware Graph Convolution Network Model for Video Recommendation. | Wei Zhuo, Kunchi Liu, Taofeng Xue, Beihong Jin, Beibei Li, Xinzhou Dong, He Chen, Wenhai Pan, Xuejian Zhang, Shuo Zhou |
| 2021 | CHI | Automating Cancer Genetic Counseling with an Adaptive Pedagogical Agent. | Shuo Zhou, Timothy W. Bickmore |
| 2020 | AAAI | Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments. | Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu |
| 2020 | HRI | Cancer Genetic Counseling by Humanoid Robot: Modeling Multimodal Communication of Health Risk. | Shuo Zhou, Prasanth Murali, Meghan Underhill-Blazey, Timothy W. Bickmore |
| 2019 | AIED | A Virtual Counselor for Genetic Risk Communication. | Shuo Zhou, Timothy W. Bickmore |
| 2019 | GECCO | Space partition based gene expression programming for symbolic regression. | Qiang Lu, Shuo Zhou, Fan Tao, Zhiguang Wang |
| 2019 | MICCAI | Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. | Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu |
| 2019 | MICCAI | Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation. | Shuo Zhou, Christopher R. Cox, Haiping Lu |
| 2018 | CHI | Sense of Presence, Attitude Change, Perspective-Taking and Usability in First-Person Split-Sphere 360° Video. | Tanja Aitamurto, Shuo Zhou, Sukolsak Sakshuwong, Jorge Saldivar, Yasamin Sadeghi, Amy Tran |
| 2018 | ICDM | Online CP Decomposition for Sparse Tensors. | Shuo Zhou, Sarah M. Erfani, James Bailey |
| 2018 | ICML | Dimensionality-Driven Learning with Noisy Labels. | Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey |
| 2018 | IVA | User Gaze Behavior while Discussing Substance Use with a Virtual Agent. | Shuo Zhou, Timothy W. Bickmore, Amy Rubin, Catherine Yeksigian, Molly Sawdy, Steven R. Simon |
| 2017 | AMIA | Selecting and Refining the Characteristics of a Virtual Nurse for a Technology-Assisted Hospital-to-Home Care Transition Intervention in the Veterans Health Administration. | Lorilei M. Richardson, Jessica Lipschitz, Timothy P. Hogan, Stephanie L. Shimada, Bridget Smith, Steven R. Simon, Amy Rubin, Bonnie J. Wakefield, Peter Kaboli, Jeydith Gutierrez Perez, Paul A. Heidenreich, Shuo Zhou, Zachary Berwaldt, Lin Shi, Timothy W. Bickmore, Thomas K. Houston |
| 2017 | ICDM | SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning. | Shuo Zhou, Sarah M. Erfani, James Bailey |
| 2017 | IJCAI | Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training. | Xingjun Ma, Sudanthi N. R. Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen J. O'Leary, James Bailey |
| 2017 | MICCAI | Providing Effective Real-Time Feedback in Simulation-Based Surgical Training. | Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Shuo Zhou, Stephen J. O'Leary, James Bailey |
| 2016 | KDD | Accelerating Online CP Decompositions for Higher Order Tensors. | Shuo Zhou, Xuan Vinh Nguyen, James Bailey, Yunzhe Jia, Ian Davidson |
| 2015 | IVA | Automated Explanation of Research Informed Consent by Virtual Agents. | Timothy W. Bickmore, Dina Utami, Shuo Zhou, Candace L. Sidner, Lisa Quintiliani, Michael K. Paasche-Orlow |
| 2014 | CHI | Afraid to ask: proactive assistance with healthcare documents using eye tracking. | Shuo Zhou, Raghavendra Gali, Michael K. Paasche-Orlow, Timothy W. Bickmore |
| 2014 | IVA | Agent-User Concordance and Satisfaction with a Virtual Hospital Discharge Nurse. | Shuo Zhou, Timothy W. Bickmore, Michael K. Paasche-Orlow, Brian W. Jack |
| 2006 | ASPDAC | Efficient static timing analysis using a unified framework for false paths and multi-cycle paths. | Shuo Zhou, Bo Yao, Hongyu Chen, Yi Zhu, Chung-Kuan Cheng, Michael D. Hutton |
| 2006 | ICCAD | Timing model reduction for hierarchical timing analysis. | Shuo Zhou, Yi Zhu, Yuanfang Hu, Ronald L. Graham, Mike Hutton, Chung-Kuan Cheng |
| 2005 | ASPDAC | Integrated algorithmic logical and physical design of integer multiplier. | Shuo Zhou, Bo Yao, Jianhua Liu, Chung-Kuan Cheng |
| 2005 | ICCAD | Improving the efficiency of static timing analysis with false paths. | Shuo Zhou, Bo Yao, Hongyu Chen, Yi Zhu, Chung-Kuan Cheng, Michael D. Hutton, Truman Collins, Sridhar Srinivasan, Nan-Chi Chou, Peter Suaris |
| 2003 | ICCAD | An Algorithmic Approach for Generic Parallel Adders. | Jianhua Liu, Shuo Zhou, Haikun Zhu, Chung-Kuan Cheng |