Long Sha

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 21

Top Topics

Top Venues

ACM Trans. Comput. Hum. Interact.

Publications

Shangbo Zhou, Long Sha, Shufang Zhu, Limin Wang
Adaptive hierarchical update particle swarm optimization algorithm with a multi-choice comprehensive learning strategy. Appl. Intell. 52 (2) (2022)
Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph. CoRR (2022)
Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph. Mach. Learn. Knowl. Extr. 4 (2) (2022)
Zhixuan Yu, Haozheng Yu, Long Sha, Sujoy Ganguly, Hyun Soo Park
Dense Keypoints via Multiview Supervision. NeurIPS (2021)
Zhixuan Yu, Haozheng Yu, Long Sha, Sujoy Ganguly, Hyun Soo Park
Semi-supervised Dense Keypointsusing Unlabeled Multiview Images. CoRR (2021)
Tong Yang, Long Sha, Pengyu Hong
NagE: Non-Abelian Group Embedding for Knowledge Graphs. CIKM (2020)
Tong Yang, Long Sha, Pengyu Hong
Variance Regularization for Accelerating Stochastic Optimization. CoRR (2020)
Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu
Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. ICLR (2020)
Tong Yang, Long Sha, Pengyu Hong
A Group-Theoretic Framework for Knowledge Graph Embedding. CoRR (2020)
Long Sha, Jennifer A. Hobbs, Panna Felsen, Xinyu Wei, Patrick Lucey, Sujoy Ganguly
End-to-End Camera Calibration for Broadcast Videos. CVPR (2020)
Tong Yang, Long Sha, Justin Li, Pengyu Hong
A Deep Learning Approach for COVID-19 Trend Prediction. CoRR (2020)
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey
Generating Multi-Agent Trajectories using Programmatic Weak Supervision. ICLR (Poster) (2019)
Jennifer A. Hobbs, Matthew Holbrook, Nathan Frank, Long Sha, Patrick Lucey
Improved Structural Discovery and Representation Learning of Multi-Agent Data. CoRR (2019)
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey
Generative Multi-Agent Behavioral Cloning. CoRR (2018)
Mingyang Di, Diego Klabjan, Long Sha, Patrick Lucey
Large-Scale Adversarial Sports Play Retrieval with Learning to Rank. ACM Trans. Knowl. Discov. Data 12 (6) (2018)
Long Sha, Patrick Lucey, Yisong Yue, Xinyu Wei, Jennifer A. Hobbs, Charlie Rohlf, Sridha Sridharan
Interactive Sports Analytics: An Intelligent Interface for Utilizing Trajectories for Interactive Sports Play Retrieval and Analytics. ACM Trans. Comput. Hum. Interact. 25 (2) (2018)
Long Sha, Patrick Lucey, Stephan Zheng, Taehwan Kim, Yisong Yue, Sridha Sridharan
Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories. CoRR (2017)
Long Sha, Pengyu Hong
Neural Knowledge Tracing. BFAL (2017)
Long Sha, Patrick Lucey, Yisong Yue, Peter Carr, Charlie Rohlf, Iain A. Matthews
Chalkboarding: A New Spatiotemporal Query Paradigm for Sports Play Retrieval. IUI (2016)
Long Sha, James V. Haxby, Hervé Abdi, J. Swaroop Guntupalli, Nikolaas N. Oosterhof, Yaroslav O. Halchenko, Andrew C. Connolly
The Animacy Continuum in the Human Ventral Vision Pathway. J. Cogn. Neurosci. 27 (4) (2015)
Xinyu Wei, Long Sha, Patrick Lucey, Peter Carr, Sridha Sridharan, Iain A. Matthews
Predicting Ball Ownership in Basketball from a Monocular View Using Only Player Trajectories. ICCV Workshops (2015)
Long Sha, Patrick Lucey, Sridha Sridharan, Stuart Morgan, Dave Pease
Understanding and analyzing a large collection of archived swimming videos. WACV (2014)
Long Sha, Patrick Lucey, Stuart Morgan, Dave Pease, Sridha Sridharan
Swimmer Localization from a Moving Camera. DICTA (2013)
Xinyu Wei, Long Sha, Patrick Lucey, Stuart Morgan, Sridha Sridharan
Large-Scale Analysis of Formations in Soccer. DICTA (2013)