Swimmer Localization from a Moving Camera. - Long Sha; Patrick Lucey; Stuart Morgan; Dave Pease; Sridha Sridharan (DICTA, 2013)

Large-Scale Analysis of Formations in Soccer. - Xinyu Wei; Long Sha; Patrick Lucey; Stuart Morgan; Sridha Sridharan (DICTA, 2013)

Understanding and analyzing a large collection of archived swimming videos. - Long Sha; Patrick Lucey; Sridha Sridharan; Stuart Morgan; Dave Pease (WACV, 2014)

Predicting Ball Ownership in Basketball from a Monocular View Using Only Player Trajectories. - Xinyu Wei; Long Sha; Patrick Lucey; Peter Carr 001; Sridha Sridharan; Iain A. Matthews (ICCV Workshops, 2015)

The Animacy Continuum in the Human Ventral Vision Pathway. - Long Sha; James V. Haxby; Hervé Abdi; J. Swaroop Guntupalli; Nikolaas N. Oosterhof; Yaroslav O. Halchenko; Andrew C. Connolly (J. Cogn. Neurosci., 2015)

Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval. - Long Sha; Patrick Lucey; Yisong Yue; Peter Carr 001; Charlie Rohlf; Iain A. Matthews (IUI, 2016)

Neural Knowledge Tracing. - Long Sha; Pengyu Hong (BFAL, 2017)

Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories. - Long Sha; Patrick Lucey; Stephan Zheng; Taehwan Kim; Yisong Yue; Sridha Sridharan (CoRR, 2017)

Generative Multi-Agent Behavioral Cloning. - Eric Zhan; Stephan Zheng; Yisong Yue; Long Sha; Patrick Lucey (CoRR, 2018)

Large-Scale Adversarial Sports Play Retrieval with Learning to Rank. - Mingyang Di; Diego Klabjan; Long Sha; Patrick Lucey (ACM Trans. Knowl. Discov. Data, 2018)

Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics. - Long Sha; Patrick Lucey; Yisong Yue; Xinyu Wei; Jennifer A. Hobbs; Charlie Rohlf; Sridha Sridharan (ACM Trans. Comput. Hum. Interact., 2018)

Generating Multi-Agent Trajectories using Programmatic Weak Supervision. - Eric Zhan; Stephan Zheng; Yisong Yue; Long Sha; Patrick Lucey (ICLR (Poster), 2019)

Improved Structural Discovery and Representation Learning of Multi-Agent Data. - Jennifer A. Hobbs; Matthew Holbrook; Nathan Frank; Long Sha; Patrick Lucey (CoRR, 2019)

NagE: Non-Abelian Group Embedding for Knowledge Graphs. - Tong Yang; Long Sha; Pengyu Hong (CIKM, 2020)

End-to-End Camera Calibration for Broadcast Videos. - Long Sha; Jennifer A. Hobbs; Panna Felsen; Xinyu Wei; Patrick Lucey; Sujoy Ganguly (CVPR, 2020)

Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. - Xin Xing; Long Sha; Pengyu Hong; Zuofeng Shang; Jun S. Liu (ICLR, 2020)

A Group-Theoretic Framework for Knowledge Graph Embedding. - Tong Yang; Long Sha; Pengyu Hong (CoRR, 2020)

A Deep Learning Approach for COVID-19 Trend Prediction. - Tong Yang; Long Sha; Justin Li; Pengyu Hong (CoRR, 2020)

Variance Regularization for Accelerating Stochastic Optimization. - Tong Yang; Long Sha; Pengyu Hong (CoRR, 2020)

Dense Keypoints via Multiview Supervision. - Zhixuan Yu; Haozheng Yu; Long Sha; Sujoy Ganguly; Hyun Soo Park (NeurIPS, 2021)

Semi-supervised Dense Keypointsusing Unlabeled Multiview Images. - Zhixuan Yu; Haozheng Yu; Long Sha; Sujoy Ganguly; Hyun Soo Park (CoRR, 2021)

Adaptive hierarchical update particle swarm optimization algorithm with a multi-choice comprehensive learning strategy. - Shangbo Zhou; Long Sha; Shufang Zhu 002; Limin Wang (Appl. Intell., 2022)

Knowledgebra: An Algebraic Learning Framework for Knowledge Graph. - Tong Yang; Yifei Wang 002; Long Sha; Jan Engelbrecht; Pengyu Hong (Mach. Learn. Knowl. Extr., 2022)