Jiayu Yao

According to our database, Jiayu Yao authored at least 25 papers between 2008 and 2023.

Collaborative distances:

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

2023

Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations.

Aishwarya Mandyam, Andrew Jones, Jiayu Yao, Krzysztof Laudanski, Barbara E. Engelhardt

Proceedings of the Machine Learning for Health, 2023

Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs.

Haotian Fu, Jiayu Yao, Omer Gottesman, Finale Doshi-Velez, George Konidaris

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Silent Delivery: Make Instant Delivery More Accessible for the DHH Delivery Workers Through Sensory Substitution.

Shichao Huang, Xiaolong Li, Shang Shi, Haoye Dong, Xueyan Cai, Kecheng Jin, Jiayi Wu, Weijia Lin, Jiayu Yao, Yuqi Hu, Fangtian Ying, Cheng Yao

Proceedings of the Distributed, Ambient and Pervasive Interactions, 2023

MathKingdom: Teaching Children Mathematical Language Through Speaking at Home via a Voice-Guided Game.

Wenjie Xu, Jiayi Ma, Jiayu Yao, Weijia Lin, Chao Zhang, Xuanhe Xia, Nan Zhuang, Shitong Weng, Xiaoqian Xie, Shuyue Feng, Fangtian Ying, Preben Hansen, Cheng Yao

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

MechCircuit: Augmenting Laser-Cut Objects with Integrated Electronics, Mechanical Structures and Magnets.

Shuyue Feng, Cheng Yao, Weijia Lin, Jiayu Yao, Chao Zhang, Zhongyu Jia, Lijuan Liu, Masulani Bokola, Hangyue Chen, Fangtian Ying, Guanyun Wang

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Learning twofold heterogeneous multi-task by sharing similar convolution kernel pairs.

Quan Feng, Jiayu Yao, Yingyu Zhong, Ping Li, Zhisong Pan

Knowl. Based Syst., 2022

Deep Semi-supervised Learning with Double-Contrast of Features and Semantics.

Quan Feng, Jiayu Yao, Zhisong Pan, Guojun Zhou

CoRR, 2022

An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks.

Jiayu Yao, Yaniv Yacoby, Beau Coker, Weiwei Pan, Finale Doshi-Velez

CoRR, 2022

Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry.

Mark Penrod, Harrison Termotto, Varshini Reddy, Jiayu Yao, Finale Doshi-Velez, Weiwei Pan

CoRR, 2022

Policy Optimization with Sparse Global Contrastive Explanations.

Jiayu Yao, Sonali Parbhoo, Weiwei Pan, Finale Doshi-Velez

CoRR, 2022

Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts.

Quan Feng, Qingyuan Wu, Jiayu Yao, Songcan Chen

CoRR, 2022

InterestPainter: A Painting Support Tool to Promote Children's Interest in Painting.

Jiayu Yao, Weijia Lin, Jiayi Ma, Jing Zhang, Shaogeng Zeng, Zheliang Zhu, Fangtian Ying, Cheng Yao

Proceedings of the Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity, 2022

Menstrual Monster: A Tangible Interactive Co-educational Game Designed for Teenagers.

Xiubo Liang, Jing Zhang, Jiayi Ma, Jiayu Yao, Weijia Lin, Zheliang Zhu, Yingying Ma, Fangtian Ying, Cheng Yao, Leijing Zhou, Preben Hansen, Yijun Zhao, Guanyun Wang

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Power Constrained Bandits.

Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez

Proceedings of the Machine Learning for Healthcare Conference, 2021

2020

MaskMe: Using Masks to Design Collaborative Games for Helping Children with Autism Make Eye Contact.

Xiaoqian Xie, Jiashuo Cao, Jiayu Yao, Lunyu Shang, Qianru Liu, Jinlun Lin, Qin Wu

Proceedings of the ISS '20: Interactive Surfaces and Spaces, 2020

Squeeze the Ball: Designing an Interactive Playground towards Aiding Social Activities of Children with Low-Function Autism.

Qin Wu, Chenmei Yu, Yanjun Chen, Jiayu Yao, Xi Wu, Xiaolan Peng, Teng Han

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Model Selection in Bayesian Neural Networks via Horseshoe Priors.

Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez

J. Mach. Learn. Res., 2019

Quality of Uncertainty Quantification for Bayesian Neural Network Inference.

Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez

CoRR, 2019

Output-Constrained Bayesian Neural Networks.

Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez

CoRR, 2019

Survey of Network Security Situational Awareness.

Jiayu Yao, Xiani Fan, Ning Cao

Proceedings of the Cyberspace Safety and Security - 11th International Symposium, 2019

Research on Cloud Computing Security Problems and Protection Countermeasures.

Xiani Fan, Jiayu Yao, Ning Cao

Proceedings of the Cyberspace Safety and Security - 11th International Symposium, 2019

2018

Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights.

Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-Velez

CoRR, 2018

Evaluating Reinforcement Learning Algorithms in Observational Health Settings.

Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez

CoRR, 2018

Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors.

Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez

Proceedings of the 35th International Conference on Machine Learning, 2018

2008

Multi-Granularity Aggregation Index for Data Stream.

Jun Feng, Ying Wang, Jiayu Yao, Toyohide Watanabe

Proceedings of the International Conference on Cyberworlds 2008, 2008