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ORCIDJia Guo
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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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- Jia Guo 0001
![[0000-0001-5042-4045]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5042-4045")
— Hubei University of Economics, Wuhan, China (and 1 more)
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2020 – today
- 2024
[j110]Jia Guo, Haifeng Wang, Chenping Hou:
An adaptive energy-based sequential method for training PINNs to solve gradient flow equations. Appl. Math. Comput. 479: 128890 (2024)- [j109]Jia Guo, Jonathan F. Bard:
Air traffic controller scheduling. Comput. Ind. Eng. 191: 110123 (2024) - [j108]Ying Liang, Ran Xiao, Fang Huang, Qinlu Lin, Jia Guo, Wenbin Zeng, Jie Dong:
AI nutritionist: Intelligent software as the next generation pioneer of precision nutrition. Comput. Biol. Medicine 178: 108711 (2024) - [j107]Shuai Lu, Weihang Zhang, Jia Guo, Hanruo Liu, Huiqi Li, Ningli Wang:
PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder. Comput. Medical Imaging Graph. 114: 102366 (2024) - [j106]Taotao Cao, Taile Peng, Hao Wang, Xiaotong Zhu, Jia Guo, Zhen Zhang:
Multi-scale adaptive low-light image enhancement based on deep learning. J. Electronic Imaging 33(4) (2024) - [j105]Yucheng Song, Jincan Wang, Yifan Ge, Lifeng Li, Jia Guo, Quanxing Dong, Zhifang Liao:
Medical image classification: Knowledge transfer via residual U-Net and vision transformer-based teacher-student model with knowledge distillation. J. Vis. Commun. Image Represent. 102: 104212 (2024) - [j104]Ramy Hussein, David D. Shin, Moss Y. Zhao, Jia Guo, Guido A. Davidzon, Gary Steinberg, Michael E. Moseley, Greg Zaharchuk:
Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks. Medical Image Anal. 93: 103072 (2024) - [j103]Jia Guo, Minggang Gan, Kang Hu:
Relative Localization and Circumnavigation of a UGV0 Based on Mixed Measurements of Multi-UAVs by Employing Intelligent Sensors. Sensors 24(7): 2347 (2024) - [j102]Jia Guo, Pengfei Lv, Dongyu Li:
A Motion Logic Network for Pedestrian Motion Prediction. IEEE Trans Autom. Sci. Eng. 21(3): 2531-2537 (2024) - [j101]Baichuan Zhao, Jia Guo, Chenyang Yang:
Understanding the Performance of Learning Precoding Policies With Graph and Convolutional Neural Networks. IEEE Trans. Commun. 72(9): 5657-5673 (2024) - [j100]Zixuan Wang, Mengshi Zhang, Ke Yang, Tingting Yu, Bihu Lv, Yao Chen, Ning Zhang, Jia Guo, Dezhao Li, Xiaolong Wang:
Coupling of Magnetic Field Noise in Multilayer Magnetic Shields for Atomic Magnetometer. IEEE Trans. Instrum. Meas. 73: 1-8 (2024) - [j99]Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li:
Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images. IEEE Trans. Medical Imaging 43(3): 1102-1112 (2024) - [j98]Shengjie Liu, Jia Guo, Chenyang Yang:
Multidimensional Graph Neural Networks for Wireless Communications. IEEE Trans. Wirel. Commun. 23(4): 3057-3073 (2024) - [j97]Jia Guo, Chenyang Yang:
A Model-Based GNN for Learning Precoding. IEEE Trans. Wirel. Commun. 23(7): 6983-6999 (2024) - [c156]Nathan Powell, Andrew J. Kurdila, Andrea L'Afflitto, Haoran Wang, Jia Guo:
Newton Bases and Event-Triggered Adaptive Control in Native Spaces. ACC 2024: 1586-1591 - [c155]Xingyu Ren, Jiankang Deng, Yuhao Cheng, Jia Guo, Chao Ma, Yichao Yan, Wenhan Zhu, Xiaokang Yang:
Monocular Identity-Conditioned Facial Reflectance Reconstruction. CVPR 2024: 885-895 - [c154]Siying Cui, Jia Guo, Xiang An, Jiankang Deng, Yongle Zhao, Xinyu Wei, Ziyong Feng:
IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models. CVPR Workshops 2024: 950-959 - [c153]Xuzhe Zhang, Yuhao Wu, Elsa D. Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang:
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling. CVPR 2024: 5851-5862 - [c152]Evangelos Ververas, Polydefkis Gkagkos, Jiankang Deng, Michail Christos Doukas, Jia Guo, Stefanos Zafeiriou:
3DGazeNet: Generalizing 3D Gaze Estimation with Weak-Supervision from Synthetic Views. ECCV (21) 2024: 387-404 - [c151]Yili Zheng, Zhifang Liao, Jia Guo, Song Yu:
Short-Term Blood Glucose Prediction Method Based on Signal Decomposition and Bidirectional Networks. ICIC (LNBI 1) 2024: 147-158 - [c150]Anbo Cao, Pin-Yu Le, Zhonghui Qie, Yingwei Guo, Asim Zaman, Jiaxi Lu, Xueqiang Zeng, Huihui Yang, Xiaoqiang Miao, Taiyu Han, Guangtao Huang, Yu Luo, Yan Kang, Haseeb Hassan, Jia Guo:
Quantitative Perfusion Maps Using a Novelty Spatiotemporal Convolutional Neural Network. ISBI 2024: 1-5 - [c149]Pin-Yu Lee, Shubh P. Mehta, Anurag Sharma, Hong-Jian Wei, Antonios N. Pouliopoulos, Yanting Yang, Chenghao Zhang, Andrew F. Laine, Elisa E. Konofagou, Cheng-Chia Wu, Jia Guo:
Deep Learning Enables Reduced Gadolinium Dose for Contrast-Enhanced Blood-Brain Barrier Opening Quantitative Measurement. ISBI 2024: 1-5 - [c148]Dong Liu, Zhuoyao Xin, Robin Ji, Fotis Tsitsos, Sergio Jiménez-Gambín, Elisa E. Konofagou, Vincent P. Ferrera, Jia Guo:
Enhancing Transcranial Focused Ultrasound Treatment Planning With Synthetic CT from Ultra-Short Echo Time (UTE) MRI: A Multi-Task Deep Learning Approach. ISBI 2024: 1-5 - [c147]Jiawei Du, Jia Guo, Weihang Zhang, Shengzhu Yang, Hanruo Liu, Huiqi Li, Ningli Wang:
RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports. MICCAI (12) 2024: 709-719 - [c146]Jia Guo, Chenyang Yang:
A Size-Generalizable Graph Neural Network for Learning Multi-User Multi-Stream MIMO Precoding. MLSP 2024: 1-6 - [c145]Yucheng Song, Jincan Wang, Yifan Ge, Zhifang Liao, Peng Lan, Jia Guo, Lifeng Li:
Growing with the Help of Multiple Teachers: Lightweight and Noise-Resistant Student Model for Medical Image Classification. PRCV (14) 2024: 194-208 - [c144]Sushrut Surve, Jia Guo, Jovan C. Menezes, Connor Tate, Yiting Jin, Justin Walker, Silvia Ferrari:
UnRealTHASC - A Cyber-Physical XR Testbed for Underwater Real-Time Human Autonomous Systems Collaboration. RO-MAN 2024: 196-203 - [c143]Zezhou Huang, Jia Guo, Eugene Wu:
Transform Table to Database Using Large Language Models. VLDB Workshops 2024 - [i66]Siying Cui, Jia Guo, Xiang An, Jiankang Deng, Yongle Zhao, Xinyu Wei, Ziyong Feng:
IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models. CoRR abs/2403.13535 (2024) - [i65]Xingyu Ren, Jiankang Deng, Yuhao Cheng, Jia Guo, Chao Ma, Yichao Yan, Wenhan Zhu, Xiaokang Yang:
Monocular Identity-Conditioned Facial Reflectance Reconstruction. CoRR abs/2404.00301 (2024) - [i64]Jia Guo, Haonan Han, Shuai Lu, Weihang Zhang, Huiqi Li:
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment. CoRR abs/2404.00724 (2024) - [i63]Longxu Dou, Qian Liu, Guangtao Zeng, Jia Guo, Jiahui Zhou, Wei Lu, Min Lin:
Sailor: Open Language Models for South-East Asia. CoRR abs/2404.03608 (2024) - [i62]Jinglue Xu, Jialong Li, Zhen Liu, Nagar Anthel Venkatesh Suryanarayanan, Guoyuan Zhou, Jia Guo, Hitoshi Iba, Kenji Tei:
Large Language Models Synergize with Automated Machine Learning. CoRR abs/2405.03727 (2024) - [i61]Jiawei Du, Jia Guo, Weihang Zhang, Shengzhu Yang, Hanruo Liu, Huiqi Li, Ningli Wang:
RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports. CoRR abs/2405.14137 (2024) - [i60]Jia Guo, Shuai Lu, Weihang Zhang, Huiqi Li:
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection. CoRR abs/2405.14325 (2024) - [i59]Zimin Ran, Xingyu Ren, Xiang An, Kaicheng Yang, Xiangzi Dai, Ziyong Feng, Jia Guo, Linchao Zhu, Jiankang Deng:
High-Fidelity Facial Albedo Estimation via Texture Quantization. CoRR abs/2406.13149 (2024) - [i58]Shengzhu Yang, Jiawei Du, Jia Guo, Weihang Zhang, Hanruo Liu, Huiqi Li, Ningli Wang:
ViLReF: A Chinese Vision-Language Retinal Foundation Model. CoRR abs/2408.10894 (2024) - [i57]Christopher J. Wu, Lawrence S. Kegeles, Jia Guo:
Q-MRS: A Deep Learning Framework for Quantitative Magnetic Resonance Spectra Analysis. CoRR abs/2408.15999 (2024) - [i56]Aaron Cao, Zongyu Li, Jia Guo:
MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation. CoRR abs/2409.08307 (2024) - [i55]Yinyi Lai, Anbo Cao, Yuan Gao, Jiaqi Shang, Zongyu Li, Jia Guo:
Advancing Efficient Brain Tumor Multi-Class Classification - New Insights from the Vision Mamba Model in Transfer Learning. CoRR abs/2410.21872 (2024) - 2023
- [b4]Jia Guo:
Apprentissage automatique dans l'analyse automatisée de l'aorte humaine à l'aide d'une IRM innovante en flux 4D. (Machine learning in automated analysis of human aorta using innovative 4D flow MRI). Sorbonne University, Paris, France, 2023 - [j96]Jia Guo:
On strong Menger connectivity of (n,k)-bubble-sort networks. Appl. Math. Comput. 458: 128232 (2023) - [j95]Fujie Zhang, Zhiyuan Lv, Huixin Zhang, Jia Guo, Jian Wang, Tiangang Lu, Lili Zhangzhong:
Verification of improved YOLOX model in detection of greenhouse crop organs: Considering tomato as example. Comput. Electron. Agric. 205: 107582 (2023) - [j94]Chenzuo Zhang, Jia Guo, Chenyang Yang:
When the gain of predictive resource allocation for content delivery is large? Sci. China Inf. Sci. 66(12) (2023) - [j93]Tingxin Hu, Bingyu Yang, Jia Guo, Weihang Zhang, Hanruo Liu, Ningli Wang, Huiqi Li:
A fundus image classification framework for learning with noisy labels. Comput. Medical Imaging Graph. 108: 102278 (2023) - [j92]Xiao Han, Jia Guo, Mengke Wang, Nan Zhang, Jie Ren, Ying Yang, Xu Chi, Yusheng Chen, Huan Yao, Yongliang Zhao, Yun-Gui Yang, Yingpu Sun, Jiawei Xu:
Dynamic DNA 5-hydroxylmethylcytosine and RNA 5-methycytosine Reprogramming During Early Human Development. Genom. Proteom. Bioinform. 21(4): 805-822 (2023) - [j91]Xin Jin, Jia Guo:
Regressive Gaussian Process Latent Variable Model for Few-Frame Human Motion Prediction. IEICE Trans. Inf. Syst. 106(10): 1621-1626 (2023) - [j90]Jia Guo, Yun Zhu, Jianyu Wang, Shuai Du, Xin He:
Research on camera calibration optimization method based on improved sparrow search algorithm. J. Electronic Imaging 32(1) (2023) - [j89]Sai Tej Paruchuri, Jia Guo, Andrew Kurdila:
Sufficient Conditions for Parameter Convergence Over Embedded Manifolds Using Kernel Techniques. IEEE Trans. Autom. Control. 68(2): 753-765 (2023) - [j88]Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila:
Partial Persistence of Excitation in RKHS Embedded Adaptive Estimation. IEEE Trans. Autom. Control. 68(10): 5850-5861 (2023) - [j87]Jia Guo, Chenyang Yang:
Deep Neural Networks With Data Rate Model: Learning Power Allocation Efficiently. IEEE Trans. Commun. 71(3): 1447-1461 (2023) - [j86]Jia Guo, Dongyu Li, Bo He, Shuzhi Sam Ge:
An Intelligent Collaborative System for Robot Dynamics. IEEE Trans. Cybern. 53(10): 6211-6221 (2023) - [j85]Jia Guo, Huu-Thiet Nguyen, Chao Liu, Chien Chern Cheah:
Convolutional Neural Network-Based Robot Control for an Eye-in-Hand Camera. IEEE Trans. Syst. Man Cybern. Syst. 53(8): 4764-4775 (2023) - [c142]Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing:
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. ACL (Findings) 2023: 932-946 - [c141]Jia Guo, Fumin Zhang:
Event-triggered Basis Augmentation for Data-driven Adaptive Control. ACC 2023: 2987-2992 - [c140]John A. Burns, Jia Guo, Andrew J. Kurdila, Sai Tej Paruchuri, Haoran Wang:
Error Bounds for Native Space Embedding Observers with Operator-Valued Kernels. ACC 2023: 4796-4801 - [c139]Derek I. Oesterheld, Daniel J. Stilwell, Andrew J. Kurdila, Jia Guo:
A Model Reference Adaptive Controller Based on Operator-Valued Kernel Functions. CDC 2023: 521-528 - [c138]Dong Wang, Jia Guo, Qiqi Shao, Haochi He, Zhian Chen, Chuanbao Xiao, Ajian Liu, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Jun Wan, Jiankang Deng:
Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results. CVPR Workshops 2023: 6380-6391 - [c137]Weijia Feng, Siyao Qi, Wenwen Liu, Yunhe Chen, Zhangzhen Nie, Jia Guo:
Fault Prediction Based on Traffic Light Data Cleaning. DASFAA (Workshops) 2023: 127-137 - [c136]Jia Guo, Stanley Kok, Lidong Bing:
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. EACL 2023: 2598-2609 - [c135]Weijia Feng, Manlu Xu, Yuanxu Chen, Xiaofeng Wang, Jia Guo, Lei Dai, Nan Wang, Xinyu Zuo, Xiaoxue Li:
Nonlinear Deep Subspace Network for Micro-expression Recognition. FME@MM 2023: 1-8 - [c134]Shihao Ren, Yikang Ding, Jinli Liao, Xinghui Li, Jia Guo, Wensen Feng, Xueqian Wang:
Volumetric 3D Reconstruction with Window-Wise Global Feature Aggregation. ICASSP 2023: 1-5 - [c133]Heying Song, Jia Guo, Linying Song, Luyao Wang, Yexuan Zhu, Shiqiang Li:
Deep Learning-Based Network Channel Quality Prediction Algorithm in High-Speed Mobile Scenarios. ICCPR 2023: 142-148 - [c132]Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu:
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption. ICCV 2023: 2910-2919 - [c131]Rongzihan Song, Zihao Wang, Jia Guo, Boon Siew Han, Alvin Hong Yee Wong, Lei Sun, Zhiping Lin:
RFID-assisted visual multiple object tracking without using visual appearance and motion. ICIP 2023: 2745-2749 - [c130]Xiang An, Jiankang Deng, Kaicheng Yang, Jaiwei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu:
Unicom: Universal and Compact Representation Learning for Image Retrieval. ICLR 2023 - [c129]Xinghui Li, Yikang Ding, Jia Guo, Xiansong Lai, Shihao Ren, Wensen Feng, Long Zeng:
Edge-aware Neural Implicit Surface Reconstruction. ICME 2023: 1643-1648 - [c128]Shenqi Lai, Xi Du, Jia Guo, Kaipeng Zhang:
RaMLP: Vision MLP via Region-aware Mixing. IJCAI 2023: 999-1007 - [c127]Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li:
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. IPMI 2023: 388-400 - [c126]Lize Jia, Jia Guo, Weihang Zhang, Hanruo Liu, Ningli Wang, Huiqi Li:
Semi-Supervised Learning with Out-of-Distribution Unlabeled Samples for Retinal Image Classification. ISBI 2023: 1-5 - [c125]Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li:
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction. NeurIPS 2023 - [c124]Jia Guo, Mehdi Bennis, Chenyang Yang:
Precoder and Detector Learning for Vision-based mmWave Received Power Prediction. PIMRC 2023: 1-6 - [c123]Liwei Guo, Weidong Liu, Le Li, Jia Guo, Yu Wu, Jingming Xu:
A Mechanical Leg Compliant Control Scheme for Underwater Crawling-Swimming Robot. RICAI 2023: 114-118 - [c122]Jialin Cai, Jia Guo, Yan Qu:
An Overview of the Optimization of RF Power Amplifiers using a Bayesian Algorithm : (Invited). SMACD 2023: 1-4 - [c121]Jia Guo, Chenyang Yang:
A Size-Generalizable GNN for Learning Precoding. VTC Fall 2023: 1-6 - [c120]Jia Guo, Chenyang Yang:
How to Improve Learning Efficiency of GNN for Precoding? VTC2023-Spring 2023: 1-5 - [c119]Luyao Wang, Jia Guo, Jinqi Zhu, Yexuan Zhu, Yanmin Wei, Jinao Wang, Heying Song, Xiangyang Gong:
Environment-Aware Adaptive Transmission for Adaptive Video Streaming Based on Edge Computing in High-speed rail Scenarios. WCNC 2023: 1-6 - [i54]Xuzhe Zhang, Yuhao Wu, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Hyagriv N. Simhan, Sonja Entringer, Pathik D. Wadhwa, Claudia Buss, Cristiane S. Duarte, Andrea Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang:
3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI. CoRR abs/2303.09373 (2023) - [i53]Jia Guo, Stanley Kok, Lidong Bing:
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. CoRR abs/2304.00824 (2023) - [i52]Gongning Luo, Kuanquan Wang, Jun Liu, Shuo Li, Xinjie Liang, Xiangyu Li, Shaowei Gan, Wei Wang, Suyu Dong, Wenyi Wang, Pengxin Yu, Enyou Liu, Hongrong Wei, Na Wang, Jia Guo, Huiqi Li, Zhao Zhang, Ziwei Zhao, Na Gao, Nan An, Ashkan Pakzad, Bojidar Rangelov, Jiaqi Dou, Song Tian, Zeyu Liu, Yi Wang, Ampatishan Sivalingam, Kumaradevan Punithakumar, Zhaowen Qiu, Xin Gao:
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge. CoRR abs/2304.03708 (2023) - [i51]Dong Wang, Jia Guo, Qiqi Shao, Haochi He, Zhian Chen, Chuanbao Xiao, Ajian Liu, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Jun Wan, Jiankang Deng:
Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results. CoRR abs/2304.05753 (2023) - [i50]Xiang An, Jiankang Deng, Kaicheng Yang, Jaiwei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu:
Unicom: Universal and Compact Representation Learning for Image Retrieval. CoRR abs/2304.05884 (2023) - [i49]Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing:
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. CoRR abs/2305.19902 (2023) - [i48]Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li:
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction. CoRR abs/2306.02602 (2023) - [i47]Yao Peng, Jia Guo, Chenyang Yang:
Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN? CoRR abs/2307.12480 (2023) - [i46]Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu:
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption. CoRR abs/2308.08428 (2023) - [i45]Anbo Cao, Pin-Yu Le, Zhonghui Qie, Haseeb Hassan, Yingwei Guo, Asim Zaman, Jiaxi Lu, Xueqiang Zeng, Huihui Yang, Xiaoqiang Miao, Taiyu Han, Guangtao Huang, Yan Kang, Yu Luo, Jia Guo:
Quantitative perfusion maps using a novelty spatiotemporal convolutional neural network. CoRR abs/2312.05279 (2023) - [i44]Aaron Cao, Vishwanatha M. Rao, Kejia Liu, Xinru Liu, Andrew F. Laine, Jia Guo:
TABSurfer: a Hybrid Deep Learning Architecture for Subcortical Segmentation. CoRR abs/2312.08267 (2023) - [i43]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) - [i42]Yanting Yang, Jeffery Siyuan Tian, Matthieu Dagommer, Jia Guo:
Deep Learning-based MRI Reconstruction with Artificial Fourier Transform (AFT)-Net. CoRR abs/2312.10892 (2023) - 2022
- [j84]Jia Guo, Giovanni Crupi, Jialin Cai:
A Novel Design Methodology for a Multioctave GaN-HEMT Power Amplifier Using Clustering Guided Bayesian Optimization. IEEE Access 10: 52771-52781 (2022) - [j83]Jia Guo, Giovanni Crupi, Jialin Cai:
A Broadband Asymmetric Doherty Power Amplifier Design Based on Multiobjective Bayesian Optimization: Theoretical and Experimental Validation. IEEE Access 10: 89823-89834 (2022) - [j82]Jia Guo, Mei Lu, Xin Wang:
The (strong) structure connectivity and (strong) substructure connectivity of the (n, k)-bubble-sort network. Appl. Math. Comput. 425: 127078 (2022) - [j81]Chengchuan Xu, Dong Jiang, Bibo Tan, Cuiqin Shen, Jia Guo:
Preoperative diagnosis and prediction of microvascular invasion in hepatocellularcarcinoma by ultrasound elastography. BMC Medical Imaging 22(1): 88 (2022) - [j80]Xuanxuan Liu, Li Guo, Hexiang Wang, Jia Guo, Shifeng Yang, Lisha Duan:
Research on imbalance machine learning methods for MRT1WI soft tissue sarcoma data. BMC Medical Imaging 22(1): 149 (2022) - [j79]Meng Wang, Huiyan Jiang, Tianyu Shi, Zhiguo Wang, Jia Guo, Guoxiu Lu, Youchao Wang, Yu-Dong Yao:
PSR-Nets: Deep neural networks with prior shift regularization for PET/CT based automatic, accurate, and calibrated whole-body lymphoma segmentation. Comput. Biol. Medicine 151(Part): 106215 (2022) - [j78]Jia Guo, Jonathan F. Bard:
A column generation-based algorithm for midterm nurse scheduling with specialized constraints, preference considerations, and overtime. Comput. Oper. Res. 138: 105597 (2022) - [j77]Erhan Bayraktar, Erik Ekström, Jia Guo:
Disorder detection with costly observations. J. Appl. Probab. 59(2): 338-349 (2022) - [j76]Yujing Xu, Wenqian Jiang, Yu Li, Jia Guo:
The Influences of Live Streaming Affordance in Cross-Border E-Commerce Platforms: An Information Transparency Perspective. J. Glob. Inf. Manag. 30(2): 1-24 (2022) - [j75]Jia Guo:
Deep learning approach to text analysis for human emotion detection from big data. J. Intell. Syst. 31(1): 113-126 (2022) - [j74]Jin-Ting Zhang, Bu Zhou, Jia Guo:
Linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA: A normal reference L2-norm based test. J. Multivar. Anal. 187: 104816 (2022) - [j73]Jiankang Deng, Jia Guo, Jing Yang, Niannan Xue, Irene Kotsia, Stefanos Zafeiriou:
ArcFace: Additive Angular Margin Loss for Deep Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5962-5979 (2022) - [j72]Hong Jiang, Maolin Yao, Jia Guo, Zhaoming Zhang, Wenting Wu, Zhengyuan Mao:
Vegetation Monitoring of Protected Areas in Rugged Mountains Using an Improved Shadow-Eliminated Vegetation Index (SEVI). Remote. Sens. 14(4): 882 (2022) - [j71]Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang:
PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers. IEEE Trans. Medical Imaging 41(10): 2925-2940 (2022) - [j70]Jia Guo, Chenyang Yang:
Learning Power Allocation for Multi-Cell-Multi-User Systems With Heterogeneous Graph Neural Networks. IEEE Trans. Wirel. Commun. 21(2): 884-897 (2022) - [c118]Shuai Du, Yun Zhu, Jianyu Wang, Jia Guo:
Research on Image Restoration Method of Underwater Robot Based on Dark Channel Prior Algorithm. ACIRS 2022: 195-202 - [c117]Jia Guo, Fumin Zhang, Andrew J. Kurdila:
Collaborative Persistent Excitation in RKHS Embedded Adaptive Estimation with Consensus. ACC 2022: 3388-3393