Jiayu Yao

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 27

Top Topics

Reinforcement Learning

Top Venues

Publications

Xueyan Cai, Kecheng Jin, Shang Shi, Shichao Huang, Ouying Huang, Xiaodong Wang, Jiahao Cheng, Weijia Lin, Jiayu Yao, Yuqi Hu, Chao Zhang, Cheng Yao
"See, Hear, Touch, Smell, and, ...Eat!": Helping Children Self-Improve Their Food Literacy and Eating Behavior through a Tangible Multi-Sensory Puzzle Game. IDC (2024)
Ke Jiang, Jiayu Yao, Xiaoyang Tan
Contextual Conservative Q-Learning for Offline Reinforcement Learning. CoRR (2023)
Haotian Fu, Jiayu Yao, Omer Gottesman, Finale Doshi-Velez, George Konidaris
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs. ICLR (2023)
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
MathKingdom: Teaching Children Mathematical Language Through Speaking at Home via a Voice-Guided Game. CHI (2023)
Aishwarya Mandyam, Andrew Jones, Jiayu Yao, Krzysztof Laudanski, Barbara E. Engelhardt
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations. ML4H@NeurIPS (2023)
Shuyue Feng, Cheng Yao, Weijia Lin, Jiayu Yao, Chao Zhang, Zhongyu Jia, Lijuan Liu, Masulani Bokola, Hangyue Chen, Fangtian Ying, Guanyun Wang
MechCircuit: Augmenting Laser-Cut Objects with Integrated Electronics, Mechanical Structures and Magnets. CHI (2023)
Shichao Huang, Xiaolong Li, Shang Shi, Haoye Dong, Xueyan Cai, Kecheng Jin, Jiayi Wu, Weijia Lin, Jiayu Yao, Yuqi Hu, Fangtian Ying, Cheng Yao
Silent Delivery: Make Instant Delivery More Accessible for the DHH Delivery Workers Through Sensory Substitution. HCI (27) (2023)
Jiayu Yao, Yaniv Yacoby, Beau Coker, Weiwei Pan, Finale Doshi-Velez
An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks. CoRR (2022)
Mark Penrod, Harrison Termotto, Varshini Reddy, Jiayu Yao, Finale Doshi-Velez, Weiwei Pan
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry. CoRR (2022)
Jiayu Yao, Sonali Parbhoo, Weiwei Pan, Finale Doshi-Velez
Policy Optimization with Sparse Global Contrastive Explanations. CoRR (2022)
Quan Feng, Jiayu Yao, Zhisong Pan, Guojun Zhou
Deep Semi-supervised Learning with Double-Contrast of Features and Semantics. CoRR (2022)
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
Menstrual Monster: A Tangible Interactive Co-educational Game Designed for Teenagers. CHI Extended Abstracts (2022)
Jiayu Yao, Weijia Lin, Jiayi Ma, Jing Zhang, Shaogeng Zeng, Zheliang Zhu, Fangtian Ying, Cheng Yao
InterestPainter: A Painting Support Tool to Promote Children's Interest in Painting. HCI (25) (2022)
Quan Feng, Qingyuan Wu, Jiayu Yao, Songcan Chen
Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts. CoRR (2022)
Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
Power Constrained Bandits. MLHC (2021)
Xiaoqian Xie, Jiashuo Cao, Jiayu Yao, Lunyu Shang, Qianru Liu, Jinlun Lin, Qin Wu
MaskMe: Using Masks to Design Collaborative Games for Helping Children with Autism Make Eye Contact. ISS Companion (2020)
Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
Power-Constrained Bandits. CoRR (2020)
Qin Wu, Chenmei Yu, Yanjun Chen, Jiayu Yao, Xi Wu, Xiaolan Peng, Teng Han
Squeeze the Ball: Designing an Interactive Playground towards Aiding Social Activities of Children with Low-Function Autism. CHI (2020)
Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez
Quality of Uncertainty Quantification for Bayesian Neural Network Inference. CoRR (2019)
Xiani Fan, Jiayu Yao, Ning Cao
Research on Cloud Computing Security Problems and Protection Countermeasures. CSS (1) (2019)
Jiayu Yao, Xiani Fan, Ning Cao
Survey of Network Security Situational Awareness. CSS (1) (2019)
Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez
Output-Constrained Bayesian Neural Networks. CoRR (2019)
Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez
Model Selection in Bayesian Neural Networks via Horseshoe Priors. J. Mach. Learn. Res. 20 (2019)
Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors. ICML (2018)
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
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR (2018)
Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-Velez
Latent Projection BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights. CoRR (2018)
Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors. CoRR (2018)
Jun Feng, Ying Wang, Jiayu Yao, Toyohide Watanabe
Multi-Granularity Aggregation Index for Data Stream. CW (2008)