Long Sha

According to our database, Long Sha authored at least 23 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Knowledgebra: An Algebraic Learning Framework for Knowledge Graph.

Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong

Mach. Learn. Knowl. Extr., 2022

Adaptive hierarchical update particle swarm optimization algorithm with a multi-choice comprehensive learning strategy.

Shangbo Zhou, Long Sha, Shufang Zhu, Limin Wang

Appl. Intell., 2022

2021

Semi-supervised Dense Keypointsusing Unlabeled Multiview Images.

Zhixuan Yu, Haozheng Yu, Long Sha, Sujoy Ganguly, Hyun Soo Park

CoRR, 2021

Dense Keypoints via Multiview Supervision.

Zhixuan Yu, Haozheng Yu, Long Sha, Sujoy Ganguly, Hyun Soo Park

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Variance Regularization for Accelerating Stochastic Optimization.

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

A Group-Theoretic Framework for Knowledge Graph Embedding.

Tong Yang, Long Sha, Pengyu Hong

CoRR, 2020

Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks.

Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

End-to-End Camera Calibration for Broadcast Videos.

Long Sha, Jennifer A. Hobbs, Panna Felsen, Xinyu Wei, Patrick Lucey, Sujoy Ganguly

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

NagE: Non-Abelian Group Embedding for Knowledge Graphs.

Tong Yang, Long Sha, Pengyu Hong

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Improved Structural Discovery and Representation Learning of Multi-Agent Data.

Jennifer A. Hobbs, Matthew Holbrook, Nathan Frank, Long Sha, Patrick Lucey

CoRR, 2019

Generating Multi-Agent Trajectories using Programmatic Weak Supervision.

Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Large-Scale Adversarial Sports Play Retrieval with Learning to Rank.

Mingyang Di, Diego Klabjan, Long Sha, Patrick Lucey

ACM Trans. Knowl. Discov. Data, 2018

Generative Multi-Agent Behavioral Cloning.

Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey

CoRR, 2018

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

Neural Knowledge Tracing.

Long Sha, Pengyu Hong

Proceedings of the Brain Function Assessment in Learning - First International Conference, 2017

2016

Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval.

Long Sha, Patrick Lucey, Yisong Yue, Peter Carr, Charlie Rohlf, Iain A. Matthews

Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

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

Predicting Ball Ownership in Basketball from a Monocular View Using Only Player Trajectories.

Xinyu Wei, Long Sha, Patrick Lucey, Peter Carr, Sridha Sridharan, Iain A. Matthews

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014

Understanding and analyzing a large collection of archived swimming videos.

Long Sha, Patrick Lucey, Sridha Sridharan, Stuart Morgan, Dave Pease

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

2013

Large-Scale Analysis of Formations in Soccer.

Xinyu Wei, Long Sha, Patrick Lucey, Stuart Morgan, Sridha Sridharan

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Swimmer Localization from a Moving Camera.

Long Sha, Patrick Lucey, Stuart Morgan, Dave Pease, Sridha Sridharan

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013