Beijing University of Posts and Telecommunications(BUPT) at TREC 2016: A Rating Model Based on Tags for ABSTRACT Contextual Suggestion. - Danping Yin; Siyuan Gao; Zonghui Peng; Yameng Li; Ruifang Liu (TREC, 2016)

Adaptively Exploring Population Mobility Patterns in Flow Visualization. - Fei Wang 016; Wei Chen 001; Ye Zhao 003; Tianyu Gu; Siyuan Gao; Hujun Bao (IEEE Trans. Intell. Transp. Syst., 2017)

A Gamma-Poisson Block Model for Community Detection in Directed Network. - Siyuan Gao; Ruifang Liu; Hang Miao (ICNC-FSKD, 2018)

Task integration for connectome-based prediction via canonical correlation analysis. - Siyuan Gao; Abigail S. Greene; R. Todd Constable; Dustin Scheinost (ISBI, 2018)

Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models. - Siyuan Gao; Abigail S. Greene; R. Todd Constable; Dustin Scheinost (MICCAI (3), 2018)

Multi-role event organization in social networks. - Siyuan Gao; Zhongbao Zhang; Sen Su; Muhammad Azam Zia (Inf. Sci., 2018)

RCLens: Interactive Rare Category Exploration and Identification. - Hanfei Lin; Siyuan Gao; David Gotz; Fan Du; Jingrui He; Nan Cao 001 (IEEE Trans. Vis. Comput. Graph., 2018)

Hydraulic Damping and Swing Assistance Control of A Robotic Electrohydraulic Transfemoral Prosthesis: Preliminary Results. - Siyuan Gao; Chentao Wang; Jinying Zhu; Jingeng Mai; Qining Wang (ARSO, 2019)

A Hierarchical Manifold Learning Framework for High-Dimensional Neuroimaging Data. - Siyuan Gao; Gal Mishne; Dustin Scheinost (IPMI, 2019)

A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences. - Javid Dadashkarimi; Siyuan Gao; Erin Yeagle; Stephanie Noble; Dustin Scheinost (CNI@MICCAI, 2019)

Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis. - Siyuan Gao; Xilin Shen; R. Todd Constable; Dustin Scheinost (MICCAI (3), 2019)

Combining multiple connectomes improves predictive modeling of phenotypic measures. - Siyuan Gao; Abigail S. Greene; R. Todd Constable; Dustin Scheinost (NeuroImage, 2019)

Ten simple rules for predictive modeling of individual differences in neuroimaging. - Dustin Scheinost; Stephanie Noble; Corey Horien; Abigail S. Greene; Evelyn M. R. Lake; Mehraveh Salehi; Siyuan Gao; Xilin Shen; David O'Connor; Daniel S. Barron; Sarah W. Yip; Monica D. Rosenberg; et al. (NeuroImage, 2019)

Improve the Detection Range of Semi-Active Laser Guidance System by Temperature Compensation of Four-Quadrant PIN Detector. - Siyuan Gao; Hui Liu; Hongwei Zhang; Xin Zhang; Juan Chen (Sensors, 2019)

Inference of Dynamic Graph Changes for Functional Connectome. - Dingjue Ji; Junwei Lu; Yiliang Zhang; Siyuan Gao; Hongyu Zhao 003 (AISTATS, 2020)

Poincaré Embedding Reveals Edge-Based Functional Networks of the Brain. - Siyuan Gao; Gal Mishne; Dustin Scheinost (MICCAI (7), 2020)

Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. - Emily W. Avery; Kwangsun Yoo; Monica D. Rosenberg; Abigail S. Greene; Siyuan Gao; Duk L. Na; Dustin Scheinost; R. Todd Constable; Marvin M. Chun (J. Cogn. Neurosci., 2020)

Fair-Aware Competitive Event Influence Maximization in Social Networks. - Siyuan Gao; Zhongbao Zhang; Sen Su; Jian Wen; Li Sun 008 (IEEE Trans. Netw. Sci. Eng., 2020)

Data-driven Clustering in Ad-hoc Networks based on Community Detection. - Shufan Huang; Yongpeng Wu 001; Siyuan Gao (UbiComp/ISWC Adjunct, 2021)

Performance optimization for parallel systems with shared DWM via retiming, loop scheduling, and data placement. - Siyuan Gao; Shouzhen Gu; Rui Xu 013; Edwin Hsing-Mean Sha; Qingfeng Zhuge (J. Syst. Archit., 2021)

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Muhan Zhang; Siyuan Gao; Juntang Zhuang; Dustin Scheinost; Lawrence H. Staib; Pamela Ventola; James S. Duncan (Medical Image Anal., 2021)

Smooth graph learning for functional connectivity estimation. - Siyuan Gao; Xinyue Xia; Dustin Scheinost; Gal Mishne (NeuroImage, 2021)

Distributed Sleep Monitoring System with Mobile Terminal. - Siyuan Gao; Chang Liu; Anze Cheng; Xu Jiao (DSA, 2022)

Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity. - Link Tejavibulya; Hannah Peterson; Abigail S. Greene; Siyuan Gao; Max Rolison; Stephanie Noble; Dustin Scheinost (NeuroImage, 2022)

Optimizing for Member Value in an Edge Building Marketplace. - Ayan Acharya; Siyuan Gao; Ankan Saha; Borja Ocejo; Kinjal Basu 001; Sathiya Keerthi Selvaraj; Rahul Mazumder; Aman Gupta; Parag Agrawal (CIKM, 2023)

Research on Heart Rate and Respiration Rate Recognition Algorithm in Multi-Channel Data Acquisition Scenario. - Siyuan Gao; Anze Cheng; Zhaoming Li; Liangyu Lv; Tianxin Zhang; Zhenglin Li; Yun Lin (HealthCom, 2023)

Review on the Seismic Reliability Evaluation of Power Systems in China. - Huiquan Miao; Siyuan Gao (iSPEC, 2023)

TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis. - Size Zheng 001; Siyuan Chen 007; Siyuan Gao; Liancheng Jia; Guangyu Sun 003; Runsheng Wang; Yun Liang 001 (MICRO, 2023)

Promoting Inactive Members in Edge-Building Marketplace. - Ayan Acharya; Siyuan Gao; Borja Ocejo; Kinjal Basu 001; Ankan Saha; Sathiya Keerthi Selvaraj; Rahul Mazumder; Parag Agrawal; Aman Gupta (WWW (Companion Volume), 2023)

Time-Optimal Asymmetric S-Curve Trajectory Planning of Redundant Manipulators under Kinematic Constraints. - Tianyu Liu; Jingkai Cui; Yanhui Li; Siyuan Gao; Mingchao Zhu; Liheng Chen (Sensors, 2023)

Hip Hiking Gait Improvement with Electrohydraulic Robotic Knee: Preliminary Results. - Heran Zhong; Siyuan Gao; Qining Wang (EMBC, 2024)

Training machine learning models to detect rare inborn errors of metabolism (IEMs) based on GC-MS urinary metabolomics for diseases screening. - Haomin Li 001; Siyuan Gao; Dan Wu; Min Zhu; Zhenzhen Hu; Kexin Fang; Xiuru Chen; Zhou Ni; Jing Li; Beibei Zhao; Xuhui She; Xinwen Huang (Int. J. Medical Informatics, 2025)

Multisource Heterogeneous Information Fusion Based on Graph Convolutional Network for Gearbox Fault Diagnosis. - Siyuan Gao; Khandaker Noman; Gang Mao; Zichen Deng; Yongbo Li; Wenqing Ge (IEEE Trans. Instrum. Meas., 2025)

ELITE: Embedding-Less retrieval with Iterative Text Exploration. - Zhangyu Wang; Siyuan Gao; Rong Zhou; Hao Wang; Li Ning (CoRR, 2025)