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ORCIDJinwei Zhang
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2020 – today
- 2024
[j21]Jinwei Zhang, Wenbing Zhang
:
Opinions dynamics for a generalized nonlinear model with state-dependent susceptibility in signed networks on time scales. J. Frankl. Inst. 361(18): 107313 (2024)- [j20]Haolin Han, Jinwei Zhang, Ruili Ren, Yi Shen, Shubin Liu, Ruixue Ding:
A PVT-robust Gm-R-based residue amplifier with folded positive feedback technique. Microelectron. J. 151: 106352 (2024) - [j19]Jinwei Zhang, Xijing Zhu, Jing Li:
Intelligent Path Planning with an Improved Sparrow Search Algorithm for Workshop UAV Inspection. Sensors 24(4): 1104 (2024) - [j18]Shaoran Wang, Mengmeng Li, Jinwei Zhang, Chunmao Ye, Dazhi Ding:
3-D Attributed Scattering Center Model of Dynamic Group Targets by Forward Parametric Modeling Method. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [c22]Shuangyong Song, Jinwei Zhang, Hao Huang, Hongyan Xie, Haoxiang Su, Mengxiang Li, Zhongjiang He, Yongxiang Li, Ruiyu Fang:
Graph-based Dynamic Domain Selection for Dialogue State Tracking. IJCNN 2024: 1-7 - [c21]Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Dzung L. Pham, Aaron Carass, Jerry L. Prince:
Towards an Accurate and Generalizable Multiple Sclerosis Lesion Segmentation Model Using Self-Ensembled Lesion Fusion. ISBI 2024: 1-5 - [i23]Jiawen Chen, Muqing Zhou, Wenrong Wu, Jinwei Zhang, Yun Li, Didong Li:
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics. CoRR abs/2406.06393 (2024) - [i22]Carlos A. Rivas, Jinwei Zhang, Shuwen Wei, Samuel W. Remedios, Aaron Carass, Jerry L. Prince:
Unique MS Lesion Identification from MRI. CoRR abs/2410.09639 (2024) - [i21]Chao Li, Jiahao Li, Jinwei Zhang, Eddy Solomon, Alexey V. Dimov, Pascal Spincemaille, Thanh D. Nguyen, Martin R. Prince, Yi Wang:
Implicit neural representation for free-breathing MR fingerprinting (INR-MRF): co-registered 3D whole-liver water T1, water T2, proton density fat fraction, and R2* mapping. CoRR abs/2410.15175 (2024) - 2023
- [j17]Xiaojuan Zhu, Tianhao Zhang, Jinwei Zhang, Bao Zhao, Shunxiang Zhang, Cai Wu:
Deep reinforcement learning-based edge computing offloading algorithm for software-defined IoT. Comput. Networks 235: 110006 (2023) - [j16]Jinwei Zhang, Sheriff Sadiqbatcha, Liang Chen, Cuong Thi, Sachin Sachdeva, Hussam Amrouch, Sheldon X.-D. Tan:
Hot-spot aware thermoelectric array based cooling for multicore processors. Integr. 89: 73-82 (2023) - [j15]Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang:
LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping. NeuroImage 268: 119886 (2023) - [j14]Jiuqiang Yang, Niantian Lin, Kai Zhang, Lingyun Jia, Dong Zhang, Guihua Li, Jinwei Zhang:
A Parametric Study of MPSO-ANN Techniques in Gas-Bearing Distribution Prediction Using Multicomponent Seismic Data. Remote. Sens. 15(16): 3987 (2023) - [j13]Xin Luan, Jinwei Zhang, Miaomiao Xu, Wushouer Silamu, Yanbing Li:
Lightweight Scene Text Recognition Based on Transformer. Sensors 23(9): 4490 (2023) - [j12]Jinwei Zhang, Sheriff Sadiqbatcha, Sheldon X.-D. Tan:
Hot-Trim: Thermal and Reliability Management for Commercial Multicore Processors Considering Workload Dependent Hot Spots. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(7): 2290-2302 (2023) - [j11]Liang Chen, Wentian Jin, Jinwei Zhang, Sheldon X.-D. Tan:
Thermoelectric Cooler Modeling and Optimization via Surrogate Modeling Using Implicit Physics-Constrained Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4090-4101 (2023) - [c20]Jincong Lu, Jinwei Zhang, Wentian Jin, Sachin Sachdeva, Sheldon X.-D. Tan:
Learning Based Spatial Power Characterization and Full-Chip Power Estimation for Commercial TPUs. ASP-DAC 2023: 98-103 - [c19]Jincong Lu, Jinwei Zhang, Sheldon X.-D. Tan:
Real-time Thermal Map Estimation for AMD Multi-Core CPUs Using Transformer. ICCAD 2023: 1-7 - [c18]Qi Guo, Jinwei Zhang, Yong Chen, Ruochen Liu:
Multivariate Time Series Anomaly Detection in a Regularization Perspective. ICCAI 2023: 279-287 - [c17]Hang Zhang, Rongguang Wang, Jinwei Zhang, Dongdong Liu, Chao Li, Jiahao Li:
Spatially Covariant Lesion Segmentation. IJCAI 2023: 1713-1721 - [c16]Hang Zhang, Rongguang Wang, Renjiu Hu, Jinwei Zhang, Jiahao Li:
DeDA: Deep Directed Accumulator. MICCAI (2) 2023: 765-775 - [c15]Sachin Sachdeva, Jinwei Zhang, Hussam Amrouch, Sheldon X.-D. Tan:
Long-Term Aging Impacts on Spatial On-Chip Power Density and Temperature. SMACD 2023: 1-4 - [i20]Hang Zhang, Rongguang Wang, Jinwei Zhang, Dongdong Liu, Chao Li, Jiahao Li:
Spatially Covariant Lesion Segmentation. CoRR abs/2301.07895 (2023) - [i19]Hang Zhang, Rongguang Wang, Renjiu Hu, Jinwei Zhang, Jiahao Li:
DeDA: Deep Directed Accumulator. CoRR abs/2303.08434 (2023) - [i18]Jinwei Zhang, Alexey Dimov, Chao Li, Hang Zhang, Thanh D. Nguyen, Pascal Spincemaille, Yi Wang:
Physics-based network fine-tuning for robust quantitative susceptibility mapping from high-pass filtered phase. CoRR abs/2305.03844 (2023) - [i17]Hang Zhang, Renjiu Hu, Xiang Chen, Rongguang Wang, Jinwei Zhang, Jiahao Li:
DAGrid: Directed Accumulator Grid. CoRR abs/2306.02589 (2023) - [i16]Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Dzung L. Pham, Aaron Carass, Jerry L. Prince:
Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion. CoRR abs/2312.01460 (2023) - [i15]Hang Zhang, Thanh D. Nguyen, Jinwei Zhang, Renjiu Hu, Susan A. Gauthier, Yi Wang:
RimSet: Quantitatively Identifying and Characterizing Chronic Active Multiple Sclerosis Lesion on Quantitative Susceptibility Maps. CoRR abs/2312.16835 (2023) - 2022
- [j10]Xianglei Zhu, Wen Hu, Zejian Deng, Jinwei Zhang, Fengqing Hu, Rui Zhou, Keqiu Li, Fei-Yue Wang:
Interaction-Aware Cut-In Trajectory Prediction and Risk Assessment in Mixed Traffic. IEEE CAA J. Autom. Sinica 9(10): 1752-1762 (2022) - [j9]Hong Wang, Bing Lu, Jun Li, Teng Liu, Yang Xing, Chen Lv, Dongpu Cao, Jingxuan Li, Jinwei Zhang, Ehsan Hashemi:
Risk Assessment and Mitigation in Local Path Planning for Autonomous Vehicles With LSTM Based Predictive Model. IEEE Trans Autom. Sci. Eng. 19(4): 2738-2749 (2022) - [j8]Sheriff Sadiqbatcha, Jinwei Zhang, Hussam Amrouch, Sheldon X.-D. Tan:
Real-Time Full-Chip Thermal Tracking: A Post-Silicon, Machine Learning Perspective. IEEE Trans. Computers 71(6): 1411-1424 (2022) - [j7]Jinwei Zhang, Sheriff Sadiqbatcha, Michael O'Dea, Hussam Amrouch, Sheldon X.-D. Tan:
Full-Chip Power Density and Thermal Map Characterization for Commercial Microprocessors Under Heat Sink Cooling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1453-1466 (2022) - [i14]Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang:
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping. CoRR abs/2211.00725 (2022) - 2021
- [j6]Sheriff Sadiqbatcha, Jinwei Zhang, Hengyang Zhao, Hussam Amrouch, Jörg Henkel, Sheldon X.-D. Tan:
Post-Silicon Heat-Source Identification and Machine-Learning-Based Thermal Modeling Using Infrared Thermal Imaging. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(4): 694-707 (2021) - [c14]Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Efficient Folded Attention for Medical Image Reconstruction and Segmentation. AAAI 2021: 10868-10876 - [c13]Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Geometric Loss For Deep Multiple Sclerosis Lesion Segmentation. ISBI 2021: 24-28 - [c12]Jinwei Zhang, Hang Zhang, Chao Li, Pascal Spincemaille, Mert R. Sabuncu, Thanh D. Nguyen, Yi Wang:
Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction. MICCAI (6) 2021: 232-242 - [c11]Jinwei Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang:
Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping. MIDL 2021: 870-880 - [i13]Hang Zhang, Rongguang Wang, Jinwei Zhang, Chao Li, Gufeng Yang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
NeRD: Neural Representation of Distribution for Medical Image Segmentation. CoRR abs/2103.04020 (2021) - [i12]Chao Li, Hang Zhang, Jinwei Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network. CoRR abs/2105.01746 (2021) - 2020
- [j5]Xiaowei Guo, Teng Liu, Bangbei Tang, Xiaolin Tang, Jinwei Zhang, Wenhao Tan, Shufeng Jin:
Transfer Deep Reinforcement Learning-Enabled Energy Management Strategy for Hybrid Tracked Vehicle. IEEE Access 8: 165837-165848 (2020) - [j4]Jinwei Zhang, Zhe Liu, Shun Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang:
Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction. NeuroImage 211: 116579 (2020) - [c10]Sheriff Sadiqbatcha, Yue Zhao, Jinwei Zhang, Hussam Amrouch, Jörg Henkel, Sheldon X.-D. Tan:
Machine Learning Based Online Full-Chip Heatmap Estimation. ASP-DAC 2020: 229-234 - [c9]Jinwei Zhang, Sheriff Sadiqbatcha, Wentian Jin, Sheldon X.-D. Tan:
Accurate Power Density Map Estimation for Commercial Multi-Core Microprocessors. DATE 2020: 1085-1090 - [c8]Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X.-D. Tan:
Full-Chip Thermal Map Estimation for Commercial Multi-Core CPUs with Generative Adversarial Learning. ICCAD 2020: 14:1-14:9 - [c7]Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI. MLMIR@MICCAI 2020: 91-101 - [c6]Jinwei Zhang, Hang Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping. MIDL 2020: 892-902 - [c5]Jinwei Zhang, Sheriff Sadiqbatcha, Yuanqi Gao, Michael O'Dea, Nanpeng Yu, Sheldon X.-D. Tan:
HAT-DRL: Hotspot-Aware Task Mapping for Lifetime Improvement of Multicore System using Deep Reinforcement Learning. MLCAD 2020: 77-82 - [i11]Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang:
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation. CoRR abs/2002.12470 (2020) - [i10]Ramin Jafari, Pascal Spincemaille, Jinwei Zhang, Thanh D. Nguyen, Martin R. Prince, Xianfu Luo, Junghun Cho, Daniel Margolis, Yi Wang:
Deep Neural Network (DNN) for Water/Fat Separation: Supervised Training, Unsupervised Training, and No Training. CoRR abs/2004.07923 (2020) - [i9]Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X.-D. Tan:
EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks. CoRR abs/2004.13181 (2020) - [i8]Xiaowei Guo, Teng Liu, Bangbei Tang, Xiaolin Tang, Jinwei Zhang, Wenhao Tan, Shufeng Jin:
Transfer Deep Reinforcement Learning-enabled Energy Management Strategy for Hybrid Tracked Vehicle. CoRR abs/2007.08690 (2020) - [i7]Teng Liu, Xiaolin Tang, Jinwei Zhang, Wenbo Li, Zejian Deng, Yalian Yang:
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment. CoRR abs/2007.09101 (2020) - [i6]Teng Liu, Xiaolin Tang, Xiaosong Hu, Wenhao Tan, Jinwei Zhang:
Human-like Energy Management Based on Deep Reinforcement Learning and Historical Driving Experiences. CoRR abs/2007.10126 (2020) - [i5]Teng Liu, Xiaolin Tang, Jinwei Zhang, Wenhao Tan, Yang Xing, Dongpu Cao:
Driving Conditions-Driven Energy Management for Hybrid Electric Vehicles: A Review. CoRR abs/2007.10880 (2020) - [i4]Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI. CoRR abs/2007.14450 (2020) - [i3]Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation. CoRR abs/2009.05576 (2020) - [i2]Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation. CoRR abs/2009.13755 (2020)
2010 – 2019
- 2019
- [j3]Xiaojuan Zhu, Kuan-Ching Li, Jinwei Zhang, Shunxiang Zhang:
Distributed Reliable and Efficient Transmission Task Assignment for WSNs. Sensors 19(22): 5028 (2019) - [c4]Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang:
RSANet: Recurrent Slice-Wise Attention Network for Multiple Sclerosis Lesion Segmentation. MICCAI (3) 2019: 411-419 - 2018
- [j2]Enwang Wang, Enda Wang, Liang Fan, Jinwei Zhang, Xuehai Huang:
云量分割在空间目标观测中的研究 (Research of Cloud Segmentation in Space Target Observation). 计算机科学 45(6A): 167-170 (2018) - [j1]Jinwei Zhang, Handong Huang, Tao Liu, Chen Zhang:
Multiscale Fractures Characterization Based on Ant Colony Optimization and Two-Dimensional Variational Mode Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(7): 2562-2570 (2018) - 2017
- [c3]Jinwei Zhang, Ortrud Jäck, Alexander Menegat, Gen Li, Xiu Wang:
Chlorophyll Fluorescence Measurement: A New Method to Test the Effect of Two Adjuvants on the Efficacy of Topramezone on Weeds. CCTA (1) 2017: 206-216 - [i1]Siddharthan Rajasekaran, Jinwei Zhang, Jie Fu:
Inverse Reinforce Learning with Nonparametric Behavior Clustering. CoRR abs/1712.05514 (2017) - 2016
- [c2]Jinwei Zhang, Yong Zhang, Qingcheng Hu, Hongliang Tian, Chunxiao Xing:
A Big Data Analysis Platform for Healthcare on Apache Spark. ICSH 2016: 32-43
2000 – 2009
- 2009
- [c1]Chunyang Yang, Bobo Duan, Wei Liu, Jinwei Zhang:
A Dynamic Feature Selection Method for Vision Based Vehicle Recognition. CSIE (5) 2009: 483-487
Coauthor Index
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last updated on 2024-12-01 01:07 CET by the dblp team
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