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ORCIDZihao Yuan
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Books and Theses
- 2022
[b1]Zihao Yuan:
Modeling and optimization of emerging on-chip cooling technologies via machine learning. Boston University, USA, 2022
Journal Articles
- 2024
- [j11]Houxiang Wang, Jiaqing Chen, Zihao Yuan
, Yangxin Huang, Fuchun Lin:
NHSMM-MAR-sdNC: A novel data-driven computational framework for state-dependent effective connectivity analysis. Medical Image Anal. 97: 103290 (2024) - [j10]Zihao Yuan, Jiaqing Chen, Han Qiu, Houxiang Wang, Yangxin Huang:
Adaptive sufficient sparse clustering by controlling false discovery. Stat. Comput. 34(6): 193 (2024) - [j9]Xinjia Huang, Zihao Yuan, Xinyu Yang, Guoying Gu:
Precise Control of Soft Robots Amidst Uncertain Environmental Contacts and Forces. IEEE Trans. Robotics 40: 3565-3580 (2024) - [j8]Yi Sun, Zihao Yuan:
A virtual gym in your pocket: the influence of augmented reality exercise app characteristics on user's continuance intention. Virtual Real. 28(1): 54 (2024) - 2023
- [j7]Zihao Yuan, Jiaqing Chen, Han Qiu, Yangxin Huang:
Quantile-Adaptive Sufficient Variable Screening by Controlling False Discovery. Entropy 25(3): 524 (2023) - [j6]Han Qiu, Jiaqing Chen, Zihao Yuan, Yangxin Huang:
Empirical Bayes Decision for a Generalized Exponential Distribution with Contaminated Data. Symmetry 15(2): 511 (2023) - 2022
- [j5]LinYu Li, Xuan Zhang, Yubin Ma, Chen Gao, Jishu Wang, Yong Yu, Zihao Yuan, Qiuying Ma:
A knowledge graph completion model based on contrastive learning and relation enhancement method. Knowl. Based Syst. 256: 109889 (2022) - [j4]Sihan Gao, Jiaqing Chen, Zihao Yuan, Jie Liu, Yangxin Huang:
Double Penalized Expectile Regression for Linear Mixed Effects Model. Symmetry 14(8): 1538 (2022) - [j3]Zihao Yuan, Prachi Shukla, Sofiane Chetoui, Sean S. Nemtzow, Sherief Reda, Ayse K. Coskun:
PACT: An Extensible Parallel Thermal Simulator for Emerging Integration and Cooling Technologies. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1048-1061 (2022) - 2020
- [j2]Shaomin Lin, Yu Jiang, Xueshen Chen, Asim Biswas, Shuai Li, Zihao Yuan, Hailin Wang, Long Qi:
Automatic Detection of Plant Rows for a Transplanter in Paddy Field Using Faster R-CNN. IEEE Access 8: 147231-147240 (2020) - 2019
- [j1]Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, Yanzhi Wang:
Normalization and dropout for stochastic computing-based deep convolutional neural networks. Integr. 65: 395-403 (2019)
Conference and Workshop Papers
- 2023
- [c9]Jiafeng Yang, Xihan Li, Zhibin Tian, Zhiqiang Wang, Rujin Han, Zihao Yuan, Ruinan Mu, Haifeng Zhao:
Design of a Lunar Regolith Sampling System for Large-Scale Rover Traversals. RCAR 2023: 87-92 - 2022
- [c8]Zihao Yuan, Dianjie Lu, Guijuan Zhang, Hong Liu:
Federated Learning based Path Planning Method for Crowd Evacuation. CSCWD 2022: 1161-1166 - [c7]Zihao Yuan, Dongbo Zhang, Ying Zhang, Jiajun Tang, Zhong Wang:
Indoor Scene Recognition of Mobile Robot Based on Multi-view Fusion. ROBIO 2022: 1-6 - 2020
- [c6]Zihao Yuan, Qi Yuan, Jiajing Wu:
Phishing Detection on Ethereum via Learning Representation of Transaction Subgraphs. BlockSys 2020: 178-191 - [c5]Zihao Yuan, Geoffrey Vaartstra, Prachi Shukla, Zhengmao Lu, Evelyn Wang, Sherief Reda, Ayse K. Coskun:
A Learning-Based Thermal Simulation Framework for Emerging Two-Phase Cooling Technologies. DATE 2020: 400-405 - 2019
- [c4]Zhaoming Zhang, Baixiao Chen, Minglei Yang, Zihao Yuan:
Target Detection of Optimum Frequencies Selection Based on Time Reversal. ICFSP 2019: 40-44 - [c3]Zihao Yuan, Geoffrey Vaartstra, Prachi Shukla, Sherief Reda, Evelyn Wang, Ayse K. Coskun:
Modeling and Optimization of Chip Cooling with Two-Phase Vapor Chambers. ISLPED 2019: 1-6 - 2017
- [c2]Zihao Yuan, Ji Li, Zhe Li, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey Draper, Yanzhi Wang:
Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI 2017: 467-470 - [c1]Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang:
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. IJCNN 2017: 1230-1236
Informal and Other Publications
- 2017
- [i1]Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey T. Draper, Yanzhi Wang:
Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks. CoRR abs/1703.04135 (2017)
Coauthor Index
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