Jason Xu

According to our database, Jason Xu authored at least 32 papers between 2014 and 2024.

Collaborative distances:

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

2024

The stochastic proximal distance algorithm.

Haoyu Jiang, Jason Xu

Stat. Comput., December, 2024

ESP32C3 WiFi FTM RSSI Indoor Localization.

Brosnan Yuen, Yifeng Bie, Duncan Cairns, Geoffrey Harper, Jason Xu, Xiaodai Dong, Tao Lu

Dataset, May, 2024

Wi-Fi and Bluetooth RSSI SQI Indoor Localization.

Brosnan Yuen, Yifeng Bie, Duncan Cairns, Geoffrey Harper, Jason Xu, Charles Chang, Xiaodai Dong, Tao Lu

Dataset, May, 2024

"Trust the Process": An Exploratory Study of Process Visualizations for Self-Reflection in League of Legends.

Erica Kleinman, Jason Xu, Johannes Pfau, Magy Seif El-Nasr

Proc. ACM Hum. Comput. Interact., 2024

Quasi-Newton Acceleration of EM and MM Algorithms via Broyden's Method.

Medha Agarwal, Jason Xu

J. Comput. Graph. Stat., 2024

2023

A unified analysis of convex and non-convex ℓ _p-ball projection problems.

Joong-Ho Won, Kenneth Lange, Jason Xu

Optim. Lett., June, 2023

Bayesian Transfer Learning.

Piotr M. Suder, Jason Xu, David B. Dunson

CoRR, 2023

Poster: A Demo of Autoware-Based Autonomous Driving Using Depth Sensing.

Jason Xu, Yongtao Yao

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Under Pressure: A Multi-Modal Analysis of Induced Stressors in Games for Resilience.

Reza Habibi, Johannes Pfau, Sai Siddartha Maram, Jiahong Li, Bjarke Alexander Larsen, Jason Xu, Atieh Kashani, Shweta K. Sisodiya, Jonattan Holmes, Zhaoqing Teng, Elín Carstensdóttir, Magy Seif El-Nasr

Proceedings of the 18th International Conference on the Foundations of Digital Games, 2023

Distance-to-Set Priors and Constrained Bayesian Inference.

Rick Presman, Jason Xu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Fast Computation of Branching Process Transition Probabilities via ADMM.

Achal Awasthi, Jason Xu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

WashU Epigenome Browser update 2022.

Daofeng Li, Deepak Purushotham, Jessica K. Harrison, Silas Hsu, Xiaoyu Zhuo, Changxu Fan, Shane Liu, Vincent Xu, Samuel Chen, Jason Xu, Shinyi Ouyang, Angela S. Wu, Ting Wang

Nucleic Acids Res., 2022

Wi-Fi and Bluetooth Contact Tracing Without User Intervention.

Brosnan Yuen, Yifeng Bie, Duncan Cairns, Geoffrey Harper, Jason Xu, Charles Chang, Xiaodai Dong, Tao Lu

IEEE Access, 2022

Smarter Warehouse.

Nikolay Pavlovich Laptev, Wenbo Tao, Caner Komurlu, Jason Xu, Deke Sun, Thomas C. H. Lux, Luo Mi

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

Interactive Visualizations of Word Embeddings for K-12 Students.

Saptarashmi Bandyopadhyay, Jason Xu, Neel Pawar, David S. Touretzky

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Surgical Tray Optimization: a Quality Improvement Initiative that Reduces Operating Room Costs.

Terence S. Fu, Haytham Msallak, Amirpouyan Namavarian, Albino Chiodo, William Elmasri, Brad Hubbard, Jason Xu, Rina Pegoraro, Kevin Higgins, Danny Enepekides, Eric Monteiro, Antoine Eskander

J. Medical Syst., 2021

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

Timothy C. Stutz, Janet S. Sinsheimer, Mary E. Sehl, Jason Xu

CoRR, 2021

Community Detection in Weighted Multilayer Networks with Ambient Noise.

Mark He, Dylan Lu, Jason Xu, Rose Mary Xavier

CoRR, 2021

2020

A Scalable Framework for Sparse Clustering Without Shrinkage.

Zhiyue Zhang, Kenneth Lange, Jason Xu

CoRR, 2020

Simple and Scalable Sparse k-means Clustering via Feature Ranking.

Zhiyue Zhang, Kenneth Lange, Jason Xu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Power k-Means Clustering.

Jason Xu, Kenneth Lange

Proceedings of the 36th International Conference on Machine Learning, 2019

Projection onto Minkowski Sums with Application to Constrained Learning.

Joong-Ho Won, Jason Xu, Kenneth Lange

Proceedings of the 36th International Conference on Machine Learning, 2019

Computational Analysis of Content in Fine Art Paintings.

Diana Kim, Jason Xu, Ahmed Elgammal, Marian Mazzone

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.

Paula Gardner, Caitlin McArthur, Adekunle Akinyemi, Stephen Surlin, Rong Zheng, Alexandra Papaioannou, Yujiao Hao, Jason Xu

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.

Jason Xu, Julián García, Toby Handfield

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.

Jiazhuo Wang, Jason Xu, Xuejun Wang

CoRR, 2018

A majorization-minimization algorithm for split feasibility problems.

Jason Xu, Eric C. Chi, Meng Yang, Kenneth Lange

Comput. Optim. Appl., 2018

Automatic Conflict Detection in Police Body-Worn Audio.

Alistair Letcher, Jelena Trisovic, Collin Cademartori, Xi Chen, Jason Xu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Automatic Conflict Detection in Police Body-Worn Video.

Alistair Letcher, Jelena Trisovic, Collin Cademartori, Xi Chen, Jason Xu

CoRR, 2017

Generalized Linear Model Regression under Distance-to-set Penalties.

Jason Xu, Eric C. Chi, Kenneth Lange

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.

Jason Xu, Vladimir N. Minin

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2014

Stochastic variational inference for hidden Markov models.

Nicholas J. Foti, Jason Xu, Dillon Laird, Emily B. Fox

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014