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Di Zang
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2020 – today
- 2024
- [j25]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) - [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 2024-08-07 21:32 CEST by the dblp team
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