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Jun Hua
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2020 – today
- 2026
- [j16]Pengcheng Li, Bin Li, Lin Wang, Wei Zhang
, Sixian Li, Jun Hua
:
Control Subarea Division for Coordinated Signal Control: A Colored Random Walk and Path Entropy Approach to Traffic-State Propagation. Entropy 28(6) (2026) - [j15]Wenhua Zhao
, Gaoming Xu
, Jinghao Chen
, Jun Hua
, Taijun Liu
, Fadhel M. Ghannouchi
:
Band-Limited Digital Predistortion Based on Iterative Learning Control With Input Signal Reconstruction for Wideband RFPAs. IEEE Trans. Circuits Syst. II Express Briefs 73(7): 763-767 (2026) - [i3]Zhuoyao Xin, Yiren Zhang, Christopher Wu, Dong Liu, Chunming Gu, Elena Greco, Erik H. Middlebrooks, Jun Hua, Jia Guo:
A Proof-of-Concept Study of Multitask Learning for Cranial Synthetic CT Generation Across Heterogeneous MRI Field Strengths. CoRR abs/2605.00923 (2026) - [i2]Haofei Gao, Tingjia Miao, Wenkai Jin, Muhua Zhang, Hanzhang Wang, Jie Ran, Jinxin Tan, Zhentao Zhang, Bo Tang, Leiyi Li, Jun Hua, Xiangyu Jiang, Qi-An Zhang, Siheng Chen, Wei Wang:
LQCDMaster: Agentic Scientific Computing for Lattice Quantum Chromodynamics Research. CoRR abs/2607.15001 (2026) - 2025
- [j14]Jun Hua
, Yuanqi Sun
, Yinghao Li, Xinyi Zhou, Yuhan Bian, Adrian Paez, Briana Meyer, Swati Rane Levendovszky
:
Technical considerations for using intravenous gadolinium-based-contrast-agent (GBCA) based MRI approaches to study cerebrospinal fluid (CSF) circulation and clearance. NeuroImage 312: 121239 (2025) - 2024
- [j13]Haitian Tan
, Guangquan Lu, Zhaojie Wang, Jun Hua, Miaomiao Liu:
A unified risk field-based driving behavior model for car-following and lane-changing behaviors simulation. Simul. Model. Pract. Theory 136: 102991 (2024) - 2023
- [j12]Yin-Kun Sun, Jun Hua, Yan-Na Li, Guang-Wei Chen:
Analysis of thermo-mechanical coupling characteristics of feed system of woodworking center based on fuzzy control algorithm. J. Intell. Fuzzy Syst. 45(6): 10183-10192 (2023) - [j11]Guangquan Lu
, Jun Hua
, Haoyi Zhao, Miaomiao Liu, Jin Xu
, Fang Zong
:
Modeling Vehicle Paths at Intersections: A Unified Approach Based on Entrance and Exit Lanes. IEEE Trans. Intell. Transp. Syst. 24(12): 14097-14110 (2023) - [c4]Shuren Li, Weinan Wang, Xiangqian Jiang, Jun Hua, Jiawei Mao, Yibin Lu, Xuan Jia, Di Wang, Zhen Wang, Yifei Lu:
DDAL: A Drift Detection Active Learning Mechanism. CBD 2023: 303-308 - [i1]Zhuoyao Xin, Christopher Wu, Dong Liu, Chunming Gu
, Jia Guo, Jun Hua:
Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework. CoRR abs/2312.08343 (2023) - 2021
- [j10]Lin Zhu
, Lihua Yang
, Qingmiao Zhang
, Tianqing Zhou, Jun Hua:
Cluster-based energy-efficient joint user association and resource allocation for B5G ultra-dense network. Phys. Commun. 46: 101311 (2021)
2010 – 2019
- 2019
- [j9]Shruti Agarwal, Haris I. Sair, Sachin K. Gujar, Jun Hua, Hanzhang Lu, Jay J. Pillai
:
Functional Magnetic Resonance Imaging Activation Optimization in the Setting of Brain Tumor-Induced Neurovascular Uncoupling Using Resting-State Blood Oxygen Level-Dependent Amplitude of Low Frequency Fluctuations. Brain Connect. 9(3): 241-250 (2019) - [j8]Jun Hua, Peiying Liu, Tae Kim, Manus J. Donahue, Swati D. Rane, J. Jean Chen
, Qin Qin
, Seong-Gi Kim:
MRI techniques to measure arterial and venous cerebral blood volume. NeuroImage 187: 17-31 (2019) - [c3]Ke Yan
, Jun Hua:
Deep Learning Technology for Chiller Faults Diagnosis. DASC/PiCom/DataCom/CyberSciTech 2019: 72-79 - 2017
- [j7]Ying Cheng, Qin Qin
, Peter C. M. van Zijl, James J. Pekar
, Jun Hua:
A three-dimensional single-scan approach for the measurement of changes in cerebral blood volume, blood flow, and blood oxygenation-weighted signals during functional stimulation. NeuroImage 147: 976-984 (2017) - [c2]Jun Hua, Xiujuan Zhao, Chong Su, Ruiming Ren:
Study on the mechanism of wheel corrugation based on experiment and simulation. CSCWD 2017: 573-577 - 2016
- [j6]Shruti Agarwal
, Haris I. Sair, Raag D. Airan, Jun Hua, Craig K. Jones
, Hye-Young Heo, Alessandro Olivi, Martin A. Lindquist, James J. Pekar
, Jay J. Pillai
:
Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field. Brain Connect. 6(4): 267-272 (2016) - 2014
- [j5]Ying Cheng
, Peter C. M. van Zijl, James J. Pekar
, Jun Hua:
Three-dimensional acquisition of cerebral blood volume and flow responses during functional stimulation in a single scan. NeuroImage 103: 533-541 (2014) - 2013
- [j4]Jeffrey M. Yau, Jun Hua, Diana A. Liao
, John E. Desmond:
Efficient and robust identification of cortical targets in concurrent TMS-fMRI experiments. NeuroImage 76: 134-144 (2013) - [j3]Craig K. Jones
, Alan J. Huang, Jiadi Xu, Richard A. E. Edden
, Michael Schär
, Jun Hua, Nikita Oskolkov, Domenico Zacà, Jinyuan Zhou, Michael T. McMahon
, Jay J. Pillai
, Peter C. M. van Zijl:
Nuclear Overhauser enhancement (NOE) imaging in the human brain at 7 T. NeuroImage 77: 114-124 (2013) - 2012
- [j2]Peter C. M. van Zijl, Jun Hua, Hanzhang Lu:
The BOLD post-stimulus undershoot, one of the most debated issues in fMRI. NeuroImage 62(2): 1092-1102 (2012) - [c1]Jun Hua, Hoi Lee, Ken King:
An event-driven ultra-low-current battery management system with reconfigurable linear regulator for multi-cell battery applications. ISCAS 2012: 970-973 - 2011
- [j1]Bennett A. Landman, Alan J. Huang, Aliya Gifford, Deepti S. Vikram, Issel Anne L. Lim
, Jonathan A. D. Farrell, John A. Bogovic, Jun Hua, Min Chen, Samson Jarso, Seth A. Smith, Suresh Joel, Susumu Mori, James J. Pekar
, Peter B. Barker, Jerry L. Prince
, Peter C. M. van Zijl:
Multi-parametric neuroimaging reproducibility: A 3-T resource study. NeuroImage 54(4): 2854-2866 (2011)
Coauthor Index
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last updated on 2026-08-12 23:25 CEST by the dblp team
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