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Di Zang
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2020 – today
- 2024
- [j26]Xiangyu Zhao, Di Zang, Sheng Wang, Zhenrong Shen, Kai Xuan, Zeyu Wei, Zhe Wang, Ruizhe Zheng, Xuehai Wu, Zheren Li, Qian Wang, Zengxin Qi, Lichi Zhang:
sTBI-GAN: An adversarial learning approach for data synthesis on traumatic brain segmentation. Comput. Medical Imaging Graph. 112: 102325 (2024) - [j25]Di Zang, Chenguang Wei, Jiayi Zhao, Junqi Zhang, Keshuang Tang, Hong Zhu:
Predictive resilience assessment featuring diffusion reconstruction for road networks under rainfall disturbances. Eng. Appl. Artif. Intell. 138: 109317 (2024) - [j24]Di Zang, Yongjie Ding, Jiayi Zhao, Keshuang Tang, Hong Zhu:
Predictive resilience assessment of road networks based on dynamic multi-granularity graph neural network. Neurocomputing 601: 128207 (2024) - [j23]Jing Wang, Jinbin Zhu, Xin Fu, Di Zang, Keyao Li, Weigong Zhang:
Enhancing Neural Network Reliability: Insights From Hardware/Software Collaboration With Neuron Vulnerability Quantization. IEEE Trans. Computers 73(8): 1953-1966 (2024) - 2023
- [j22]Di Zang, Xiangyu Zhao, Yuanfang Qiao, Jiayu Huo, Xuehai Wu, Zhe Wang, Zeyu Xu, Ruizhe Zheng, Zengxin Qi, Ying Mao, Lichi Zhang:
Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage. Brain Informatics 10(1): 3 (2023) - [j21]Andrea Buccellato, Yasir Çatal, Patrizia Silvia Bisiacchi, Di Zang, Federico Zilio, Zhe Wang, Zengxin Qi, Ruizhe Zheng, Zeyu Xu, Xuehai Wu, Alessandra Del Felice, Ying Mao, Georg Northoff:
Probing Intrinsic Neural Timescales in EEG with an Information-Theory Inspired Approach: Permutation Entropy Time Delay Estimation (PE-TD). Entropy 25(7): 1086 (2023) - [j20]Andrea Buccellato, Di Zang, Federico Zilio, Javier Gomez-Pilar, Zhe Wang, Zengxin Qi, Ruizhe Zheng, Zeyu Xu, Xuehai Wu, Patrizia Silvia Bisiacchi, Alessandra Del Felice, Ying Mao, Georg Northoff:
Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states - A high-density EEG study. NeuroImage 265: 119802 (2023) - [j19]Renping Yu, Han Zhang, Xuehai Wu, Xuan Fei, Qing Yang, Zhiwei Ma, Zengxin Qi, Di Zang, Weijun Tang, Ying Mao, Dinggang Shen:
Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. IEEE J. Biomed. Health Informatics 27(1): 469-479 (2023) - [j18]Junqi Zhang, Yehao Lu, Yunzhe Wu, Cheng Wang, Di Zang, Abdullah Abusorrah, Mengchu Zhou:
PSO-Based Sparse Source Location in Large-Scale Environments With a UAV Swarm. IEEE Trans. Intell. Transp. Syst. 24(5): 5249-5258 (2023) - [i2]Zhiyun Song, Zengxin Qi, Xin Wang, Xiangyu Zhao, Zhenrong Shen, Sheng Wang, Manman Fei, Zhe Wang, Di Zang, Dongdong Chen, Linlin Yao, Qian Wang, Xuehai Wu, Lichi Zhang:
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images. CoRR abs/2311.08225 (2023) - 2022
- [j17]Di Zang, Yongjie Ding, Xiaoke Qu, Chenglin Miao, Xihao Chen, Junqi Zhang, Keshuang Tang:
Traffic-Data Recovery Using Geometric-Algebra-Based Generative Adversarial Network. Sensors 22(7): 2744 (2022) - [j16]Keshuang Tang, Siqu Chen, Yumin Cao, Xiaosong Li, Di Zang, Jian Sun, Yangbeibei Ji:
Short-Term Travel Speed Prediction for Urban Expressways: Hybrid Convolutional Neural Network Models. IEEE Trans. Intell. Transp. Syst. 23(3): 1829-1840 (2022) - [c26]Di Zang, Yongjie Ding, Xiaoke Qu, Xihao Chen, Keshuang Tang, Junqi Zhang:
Traffic Data Prediction with Geometric Algebra Spatial-Temporal Attention Neural Network. ICBDC 2022: 14-19 - [c25]Di Zang, Xiaoke Qu, Yongjie Ding, Xihao Chen, Keshuang Tang, Junqi Zhang:
Traffic Congestion Propagation Prediction Based on Multi-vector Deep Neural Networks. ICBDC 2022: 51-57 - [c24]Chenglin Miao, Wen Su, Yanqing Fu, Xihao Chen, Di Zang:
Long-Term Traffic Speed Prediction Based on Geometric Algebra ConvLSTM and Graph Attention. SmartIoT 2022: 108-115 - [i1]Xiangyu Zhao, Di Zang, Sheng Wang, Zhenrong Shen, Kai Xuan, Zeyu Wei, Zhe Wang, Ruizhe Zheng, Xuehai Wu, Zheren Li, Qian Wang, Zengxin Qi, Lichi Zhang:
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation. CoRR abs/2208.06099 (2022) - 2021
- [j15]Federico Zilio, Javier Gomez-Pilar, Shumei Cao, Jun Zhang, Di Zang, Zengxin Qi, Jiaxing Tan, Tanigawa Hiromi, Xuehai Wu, Stuart M. Fogel, Zirui Huang, Matthias R. Hohmann, Tatiana Fomina, Matthis Synofzik, Moritz Grosse-Wentrup, Adrian M. Owen, Georg Northoff:
Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states. NeuroImage 226: 117579 (2021) - [j14]Pengmin Qin, Xuehai Wu, Changwei Wu, Hang Wu, Jun Zhang, Zirui Huang, Xuchu Weng, Di Zang, Zengxin Qi, Weijun Tang, Tanikawa Hiromi, Jiaxing Tan, Sean Tanabe, Stuart M. Fogel, Anthony G. Hudetz, Yihong Yang, Emmanuel A. Stamatakis, Ying Mao, Georg Northoff:
Higher-order sensorimotor circuit of the brain's global network supports human consciousness. NeuroImage 231: 117850 (2021) - [c23]Kangjin Zhao, Jing Wang, Di Zang:
A Convolutional Neural Network Accelerator Based on NVDLA. ICACS 2021: 43-47 - [c22]Di Zang, Xihao Chen, Keshuang Tang, Junqi Zhang, Bin Luo:
Traffic Data Prediction with Geometric Algebra Convolutional Neural Network. ICCPR 2021: 302-308 - 2020
- [j13]Jiujun Cheng, Huaicheng Yan, Aiguo Zhou, Chunmei Liu, Ding Cheng, Shangce Gao, Di Zang, Deli Cheng:
Location Prediction Model Based on the Internet of Vehicles for Assistance to Medical Vehicles. IEEE Access 8: 10754-10767 (2020)
2010 – 2019
- 2019
- [j12]Di Zang, Yang Fang, Zhihua Wei, Keshuang Tang, Jiujun Cheng:
Traffic Flow Data Prediction Using Residual Deconvolution Based Deep Generative Network. IEEE Access 7: 71311-71322 (2019) - [j11]Cairong Zhao, Kang Chen, Di Zang, Zhaoxiang Zhang, Wangmeng Zuo, Duoqian Miao:
Uncertainty-optimized deep learning model for small-scale person re-identification. Sci. China Inf. Sci. 62(12): 220102 (2019) - [j10]Di Zang, Jiawei Ling, Zhihua Wei, Keshuang Tang, Jiujun Cheng:
Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network. IEEE Trans. Intell. Transp. Syst. 20(10): 3700-3709 (2019) - 2018
- [j9]Jiujun Cheng, Hao Mi, Zhenhua Huang, Shangce Gao, Di Zang, Cong Liu:
Connectivity Modeling and Analysis for Internet of Vehicles in Urban Road Scene. IEEE Access 6: 2692-2702 (2018) - [j8]Di Zang, Zhihua Wei, Maomao Bao, Jiujun Cheng, Dongdong Zhang, Keshuang Tang, Xin Li:
Deep learning-based traffic sign recognition for unmanned autonomous vehicles. J. Syst. Control. Eng. 232(5): 497-505 (2018) - [c21]Di Zang, Yang Fang, Dehai Wang, Zhihua Wei, Keshuang Tang, Xin Li:
Long Term Traffic Flow Prediction Using Residual Net and Deconvolutional Neural Network. PRCV (2) 2018: 62-74 - 2017
- [j7]Junqi Zhang, Zezhou Li, Cheng Wang, Di Zang, MengChu Zhou:
Approximate Simulation Budget Allocation for Subset Ranking. IEEE Trans. Control. Syst. Technol. 25(1): 358-365 (2017) - [c20]Di Zang, Jianping Ding, Jiujun Cheng, Dongdong Zhang, Keshuang Tang:
A Hybrid Learning Algorithm for the Optimization of Convolutional Neural Network. ICIC (3) 2017: 694-705 - [c19]Di Zang, Jiawei Ling, Jiujun Cheng, Keshuang Tang, Xin Li:
Using Convolutional Neural Network with Asymmetrical Kernels to Predict Speed of Elevated Highway. IFIP TC12 ICIS 2017: 212-221 - [c18]Di Zang, Dehai Wang, Jiujun Cheng, Keshuang Tang, Xin Li:
Traffic Parameters Prediction Using a Three-Channel Convolutional Neural Network. IFIP TC12 ICIS 2017: 363-371 - [c17]Dongdong Zhang, Xiaojing Duan, Di Zang:
Decision tree based fast CU partition for HEVC lossless compression of medical image sequences. WCSP 2017: 1-6 - 2016
- [j6]Junqi Zhang, Cheng Wang, Di Zang, MengChu Zhou:
Incorporation of Optimal Computing Budget Allocation for Ordinal Optimization Into Learning Automata. IEEE Trans Autom. Sci. Eng. 13(2): 1008-1017 (2016) - [c16]Junqi Zhang, ShanWen Zhu, Di Zang, MengChu Zhou:
A Sliding Window Method for Online Tracking of Spatiotemporal Event Patterns. IDCS 2016: 513-524 - [c15]Junqi Zhang, Siyu Lu, Di Zang, MengChu Zhou:
Integrating Particle Swarm Optimization with Stochastic Point Location method in noisy environment. SMC 2016: 2067-2072 - [c14]Di Zang, Junqi Zhang, Dongdong Zhang, Maomao Bao, Jiujun Cheng, Keshuang Tang:
Traffic sign detection based on cascaded convolutional neural networks. SNPD 2016: 201-206 - [c13]Dongdong Zhang, Jie Tong, Di Zang:
Fast CU partition for H.264/AVC to HEVC transcoding based on fisher discriminant analysis. VCIP 2016: 1-4 - 2015
- [j5]Di Zang, Zhenliang Chai, Junqi Zhang, Dongdong Zhang, Jiujun Cheng:
Vehicle license plate recognition using visual attention model and deep learning. J. Electronic Imaging 24(3): 033001 (2015) - [j4]Bo Peng, Di Zang:
基于深度学习的车标识别方法研究 (Vehicle Logo Recognition Based on Deep Learning). 计算机科学 42(4): 268-273 (2015) - [j3]Zhenliang Chai, Di Zang:
基于多层级联视觉显著性模型的肇事车辆锁定方法 (Localization of Causing-traffic-trouble Vehicle with Multi-level Cascaded Visual Attention Model). 计算机科学 42(4): 285-291 (2015) - [c12]Junqi Zhang, Cheng Wang, Di Zang, MengChu Zhou:
Incorporation of ordinal optimization into learning automata for high learning efficiency. CASE 2015: 1206-1211 - [c11]Junqi Zhang, Zezhou Li, Cheng Wang, Di Zang, MengChu Zhou:
Approximately Optimal Computing-Budget Allocation for subset ranking. ICRA 2015: 3856-3861 - 2014
- [j2]Jie Li, Hongfei Ji, Lei Cao, Di Zang, Rong Gu, Bin Xia, Qiang Wu:
Evaluation and Application of a Hybrid Brain Computer Interface for Real Wheelchair Parallel Control with Multi-Degree of Freedom. Int. J. Neural Syst. 24(4) (2014) - 2013
- [c10]Dongdong Zhang, Lijing Gao, Di Zang, Yaoru Sun:
A DCT-domain JND model based on visual attention for image. ICSIPA 2013: 1-4 - [c9]Dongdong Zhang, Ye Yao, Di Zang, Yanyu Chen:
A spatio-temporal inpainting method for Kinect depth video. ICSIPA 2013: 67-70 - [c8]Dongdong Zhang, Lijing Gao, Di Zang, Yaoru Sun, Jiujun Cheng:
A JND Profile Based on Hierarchically Selective Attention for Images. ISM 2013: 263-266 - 2010
- [c7]Di Zang:
Illumination invariant object tracking based on multiscale phase. ICIP 2010: 357-360 - [c6]Di Zang, Paul R. Schrater, Katja Doerschner:
Object rigidity and reflectivity identification based on motion analysis. ICIP 2010: 4573-4576
2000 – 2009
- 2009
- [c5]Di Zang, Katja Doerschner, Paul R. Schrater:
Rapid Inference of Object Rigidity and Reflectance Using Optic Flow. CAIP 2009: 881-888 - 2007
- [b1]Di Zang:
Signal modeling for two-dimensional image structures and scale-space based image analysis. University of Kiel, Germany, 2007, pp. 1-158 - [j1]Di Zang, Gerald Sommer:
Signal modeling for two-dimensional image structures. J. Vis. Commun. Image Represent. 18(1): 81-99 (2007) - [c4]Di Zang, Lennart Wietzke, Christian Schmaltz, Gerald Sommer:
Dense Optical Flow Estimation from the Monogenic Curvature Tensor. SSVM 2007: 239-250 - 2006
- [c3]Di Zang, Gerald Sommer:
Detecting Intrinsically Two-Dimensional Image Structures Using Local Phase. DAGM-Symposium 2006: 222-231 - [c2]Di Zang, Gerald Sommer:
The Monogenic Curvature Scale-Space. IWCIA 2006: 320-332 - 2004
- [c1]Di Zang, Gerald Sommer:
Phase Based Image Reconstruction in the Monogenic Scale Space. DAGM-Symposium 2004: 171-178
Coauthor Index
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last updated on 2024-12-10 20:49 CET by the dblp team
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