Jason Xu

Orcid: 0000-0003-1981-463X

According to our database1, Jason Xu authored at least 28 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A unified analysis of convex and non-convex ℓ <sub>p</sub>-ball projection problems.
Optim. Lett., June, 2023

Bayesian Transfer Learning.
CoRR, 2023

Poster: A Demo of Autoware-Based Autonomous Driving Using Depth Sensing.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Under Pressure: A Multi-Modal Analysis of Induced Stressors in Games for Resilience.
Proceedings of the 18th International Conference on the Foundations of Digital Games, 2023

Distance-to-Set Priors and Constrained Bayesian Inference.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Fast Computation of Branching Process Transition Probabilities via ADMM.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
WashU Epigenome Browser update 2022.
Nucleic Acids Res., 2022

The Stochastic Proximal Distance Algorithm.
CoRR, 2022

Wi-Fi and Bluetooth Contact Tracing Without User Intervention.
IEEE Access, 2022

Smarter Warehouse.
Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

Interactive Visualizations of Word Embeddings for K-12 Students.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Surgical Tray Optimization: a Quality Improvement Initiative that Reduces Operating Room Costs.
J. Medical Syst., 2021

Computational tools for assessing gene therapy under branching process models of mutation.
CoRR, 2021

Community Detection in Weighted Multilayer Networks with Ambient Noise.
CoRR, 2021

2020
A Scalable Framework for Sparse Clustering Without Shrinkage.
CoRR, 2020

Simple and Scalable Sparse k-means Clustering via Feature Ranking.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Power k-Means Clustering.
Proceedings of the 36th International Conference on Machine Learning, 2019

Projection onto Minkowski Sums with Application to Constrained Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Computational Analysis of Content in Fine Art Paintings.
Proceedings of the Tenth International Conference on Computational Creativity, 2019

Employing Interdisciplinary Approaches in Designing with Fragile Older Adults; Advancing ABLE for Arts-Based Rehabilitative Play and Complex Learning.
Proceedings of the Human Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance, 2019

Cooperation with Bottom-up Reputation Dynamics.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning.
CoRR, 2018

A majorization-minimization algorithm for split feasibility problems.
Comput. Optim. Appl., 2018

Automatic Conflict Detection in Police Body-Worn Audio.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Automatic Conflict Detection in Police Body-Worn Video.
CoRR, 2017

Generalized Linear Model Regression under Distance-to-set Penalties.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
Effcient Transition Probability Computation for Continuous-Time Branching Processes via Compressed Sensing.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2014
Stochastic variational inference for hidden Markov models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014


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