Zihao Yuan

According to our database, Zihao Yuan authored at least 21 papers between 2017 and 2024.

Collaborative distances:

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

2024

Adaptive sufficient sparse clustering by controlling false discovery.

Zihao Yuan, Jiaqing Chen, Han Qiu, Houxiang Wang, Yangxin Huang

Stat. Comput., December, 2024

A virtual gym in your pocket: the influence of augmented reality exercise app characteristics on user's continuance intention.

Yi Sun, Zihao Yuan

Virtual Real., March, 2024

Precise Control of Soft Robots Amidst Uncertain Environmental Contacts and Forces.

Xinjia Huang, Zihao Yuan, Xinyu Yang, Guoying Gu

IEEE Trans. Robotics, 2024

NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis.

Houxiang Wang, Jiaqing Chen, Zihao Yuan, Yangxin Huang, Fuchun Lin

Medical Image Anal., 2024

2023

Quantile-Adaptive Sufficient Variable Screening by Controlling False Discovery.

Zihao Yuan, Jiaqing Chen, Han Qiu, Yangxin Huang

Entropy, March, 2023

Empirical Bayes Decision for a Generalized Exponential Distribution with Contaminated Data.

Han Qiu, Jiaqing Chen, Zihao Yuan, Yangxin Huang

Symmetry, February, 2023

Design of a Lunar Regolith Sampling System for Large-Scale Rover Traversals.

Jiafeng Yang, Xihan Li, Zhibin Tian, Zhiqiang Wang, Rujin Han, Zihao Yuan, Ruinan Mu, Haifeng Zhao

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

2022

Modeling and optimization of emerging on-chip cooling technologies via machine learning

Zihao Yuan

PhD thesis, 2022

PACT: An Extensible Parallel Thermal Simulator for Emerging Integration and Cooling Technologies.

Zihao Yuan, Prachi Shukla, Sofiane Chetoui, Sean S. Nemtzow, Sherief Reda, Ayse K. Coskun

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Double Penalized Expectile Regression for Linear Mixed Effects Model.

Sihan Gao, Jiaqing Chen, Zihao Yuan, Jie Liu, Yangxin Huang

Symmetry, 2022

A knowledge graph completion model based on contrastive learning and relation enhancement method.

LinYu Li, Xuan Zhang, Yubin Ma, Chen Gao, Jishu Wang, Yong Yu, Zihao Yuan, Qiuying Ma

Knowl. Based Syst., 2022

Indoor Scene Recognition of Mobile Robot Based on Multi-view Fusion.

Zihao Yuan, Dongbo Zhang, Ying Zhang, Jiajun Tang, Zhong Wang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Federated Learning based Path Planning Method for Crowd Evacuation.

Zihao Yuan, Dianjie Lu, Guijuan Zhang, Hong Liu

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2020

Automatic Detection of Plant Rows for a Transplanter in Paddy Field Using Faster R-CNN.

Shaomin Lin, Yu Jiang, Xueshen Chen, Asim Biswas, Shuai Li, Zihao Yuan, Hailin Wang, Long Qi

IEEE Access, 2020

A Learning-Based Thermal Simulation Framework for Emerging Two-Phase Cooling Technologies.

Zihao Yuan, Geoffrey Vaartstra, Prachi Shukla, Zhengmao Lu, Evelyn Wang, Sherief Reda, Ayse K. Coskun

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Phishing Detection on Ethereum via Learning Representation of Transaction Subgraphs.

Zihao Yuan, Qi Yuan, Jiajing Wu

Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020

2019

Normalization and dropout for stochastic computing-based deep convolutional neural networks.

Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, Yanzhi Wang

Integr., 2019

Modeling and Optimization of Chip Cooling with Two-Phase Vapor Chambers.

Zihao Yuan, Geoffrey Vaartstra, Prachi Shukla, Sherief Reda, Evelyn Wang, Ayse K. Coskun

Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

Target Detection of Optimum Frequencies Selection Based on Time Reversal.

Zhaoming Zhang, Baixiao Chen, Minglei Yang, Zihao Yuan

Proceedings of the 5th International Conference on Frontiers of Signal Processing, 2019

2017

Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks.

Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks.

Zihao Yuan, Ji Li, Zhe Li, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey Draper, Yanzhi Wang

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017