Di Zang

According to our database, Di Zang authored at least 55 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Neural Network Reliability: Insights From Hardware/Software Collaboration With Neuron Vulnerability Quantization.

Jing Wang, Jinbin Zhu, Xin Fu, Di Zang, Keyao Li, Weigong Zhang

IEEE Trans. Computers, August, 2024

Predictive resilience assessment of road networks based on dynamic multi-granularity graph neural network.

Di Zang, Yongjie Ding, Jiayi Zhao, Keshuang Tang, Hong Zhu

Neurocomputing, 2024

Predictive resilience assessment featuring diffusion reconstruction for road networks under rainfall disturbances.

Di Zang, Chenguang Wei, Jiayi Zhao, Junqi Zhang, Keshuang Tang, Hong Zhu

Eng. Appl. Artif. Intell., 2024

sTBI-GAN: An adversarial learning approach for data synthesis on traumatic brain segmentation.

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

Comput. Medical Imaging Graph., 2024

2023

Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage.

Di Zang, Xiangyu Zhao, Yuanfang Qiao, Jiayu Huo, Xuehai Wu, Zhe Wang, Zeyu Xu, Ruizhe Zheng, Zengxin Qi, Ying Mao, Lichi Zhang

Brain Informatics, December, 2023

Probing Intrinsic Neural Timescales in EEG with an Information-Theory Inspired Approach: Permutation Entropy Time Delay Estimation (PE-TD).

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

Entropy, July, 2023

PSO-Based Sparse Source Location in Large-Scale Environments With a UAV Swarm.

Junqi Zhang, Yehao Lu, Yunzhe Wu, Cheng Wang, Di Zang, Abdullah Abusorrah, Mengchu Zhou

IEEE Trans. Intell. Transp. Syst., May, 2023

Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction.

Renping Yu, Han Zhang, Xuehai Wu, Xuan Fei, Qing Yang, Zhiwei Ma, Zengxin Qi, Di Zang, Weijun Tang, Ying Mao, Dinggang Shen

IEEE J. Biomed. Health Informatics, 2023

Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states - A high-density EEG study.

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

NeuroImage, 2023

Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images.

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

CoRR, 2023

2022

Short-Term Travel Speed Prediction for Urban Expressways: Hybrid Convolutional Neural Network Models.

Keshuang Tang, Siqu Chen, Yumin Cao, Xiaosong Li, Di Zang, Jian Sun, Yangbeibei Ji

IEEE Trans. Intell. Transp. Syst., 2022

Traffic-Data Recovery Using Geometric-Algebra-Based Generative Adversarial Network.

Di Zang, Yongjie Ding, Xiaoke Qu, Chenglin Miao, Xihao Chen, Junqi Zhang, Keshuang Tang

Sensors, 2022

TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation.

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

CoRR, 2022

Long-Term Traffic Speed Prediction Based on Geometric Algebra ConvLSTM and Graph Attention.

Chenglin Miao, Wen Su, Yanqing Fu, Xihao Chen, Di Zang

Proceedings of the IEEE International Conference on Smart Internet of Things, 2022

Traffic Congestion Propagation Prediction Based on Multi-vector Deep Neural Networks.

Di Zang, Xiaoke Qu, Yongjie Ding, Xihao Chen, Keshuang Tang, Junqi Zhang

Proceedings of the ICBDC 2022: 7th International Conference on Big Data and Computing, Shenzhen, China, May 27, 2022

Traffic Data Prediction with Geometric Algebra Spatial-Temporal Attention Neural Network.

Di Zang, Yongjie Ding, Xiaoke Qu, Xihao Chen, Keshuang Tang, Junqi Zhang

Proceedings of the ICBDC 2022: 7th International Conference on Big Data and Computing, Shenzhen, China, May 27, 2022

2021

Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states.

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

NeuroImage, 2021

Higher-order sensorimotor circuit of the brain's global network supports human consciousness.

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

NeuroImage, 2021

Traffic Data Prediction with Geometric Algebra Convolutional Neural Network.

Di Zang, Xihao Chen, Keshuang Tang, Junqi Zhang, Bin Luo

Proceedings of the ICCPR '21: 10th International Conference on Computing and Pattern Recognition, Shanghai, China, October 15, 2021

A Convolutional Neural Network Accelerator Based on NVDLA.

Kangjin Zhao, Jing Wang, Di Zang

Proceedings of the ICACS '21: 2021 The 5th International Conference on Algorithms, Computing and Systems, Xi'an, China, September 24, 2021

2020

Location Prediction Model Based on the Internet of Vehicles for Assistance to Medical Vehicles.

Jiujun Cheng, Huaicheng Yan, Aiguo Zhou, Chunmei Liu, Ding Cheng, Shangce Gao, Di Zang, Deli Cheng

IEEE Access, 2020

2019

Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network.

Di Zang, Jiawei Ling, Zhihua Wei, Keshuang Tang, Jiujun Cheng

IEEE Trans. Intell. Transp. Syst., 2019

Uncertainty-optimized deep learning model for small-scale person re-identification.

Cairong Zhao, Kang Chen, Di Zang, Zhaoxiang Zhang, Wangmeng Zuo, Duoqian Miao

Sci. China Inf. Sci., 2019

Traffic Flow Data Prediction Using Residual Deconvolution Based Deep Generative Network.

Di Zang, Yang Fang, Zhihua Wei, Keshuang Tang, Jiujun Cheng

IEEE Access, 2019

2018

Deep learning-based traffic sign recognition for unmanned autonomous vehicles.

Di Zang, Zhihua Wei, Maomao Bao, Jiujun Cheng, Dongdong Zhang, Keshuang Tang, Xin Li

J. Syst. Control. Eng., 2018

Connectivity Modeling and Analysis for Internet of Vehicles in Urban Road Scene.

Jiujun Cheng, Hao Mi, Zhenhua Huang, Shangce Gao, Di Zang, Cong Liu

IEEE Access, 2018

Long Term Traffic Flow Prediction Using Residual Net and Deconvolutional Neural Network.

Di Zang, Yang Fang, Dehai Wang, Zhihua Wei, Keshuang Tang, Xin Li

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017

Approximate Simulation Budget Allocation for Subset Ranking.

Junqi Zhang, Zezhou Li, Cheng Wang, Di Zang, MengChu Zhou

IEEE Trans. Control. Syst. Technol., 2017

Decision tree based fast CU partition for HEVC lossless compression of medical image sequences.

Dongdong Zhang, Xiaojing Duan, Di Zang

Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Traffic Parameters Prediction Using a Three-Channel Convolutional Neural Network.

Di Zang, Dehai Wang, Jiujun Cheng, Keshuang Tang, Xin Li

Proceedings of the Intelligence Science I, 2017

Using Convolutional Neural Network with Asymmetrical Kernels to Predict Speed of Elevated Highway.

Di Zang, Jiawei Ling, Jiujun Cheng, Keshuang Tang, Xin Li

Proceedings of the Intelligence Science I, 2017

A Hybrid Learning Algorithm for the Optimization of Convolutional Neural Network.

Di Zang, Jianping Ding, Jiujun Cheng, Dongdong Zhang, Keshuang Tang

Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

2016

Incorporation of Optimal Computing Budget Allocation for Ordinal Optimization Into Learning Automata.

Junqi Zhang, Cheng Wang, Di Zang, MengChu Zhou

IEEE Trans Autom. Sci. Eng., 2016

Fast CU partition for H.264/AVC to HEVC transcoding based on fisher discriminant analysis.

Dongdong Zhang, Jie Tong, Di Zang

Proceedings of the 2016 Visual Communications and Image Processing, 2016

Traffic sign detection based on cascaded convolutional neural networks.

Di Zang, Junqi Zhang, Dongdong Zhang, Maomao Bao, Jiujun Cheng, Keshuang Tang

Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016

Integrating Particle Swarm Optimization with Stochastic Point Location method in noisy environment.

Junqi Zhang, Siyu Lu, Di Zang, MengChu Zhou

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Sliding Window Method for Online Tracking of Spatiotemporal Event Patterns.

Junqi Zhang, ShanWen Zhu, Di Zang, MengChu Zhou

Proceedings of the Internet and Distributed Computing Systems, 2016

2015

基于深度学习的车标识别方法研究 (Vehicle Logo Recognition Based on Deep Learning).

Bo Peng, Di Zang

计算机科学, 2015

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).

Zhenliang Chai, Di Zang

计算机科学, 2015

Vehicle license plate recognition using visual attention model and deep learning.

Di Zang, Zhenliang Chai, Junqi Zhang, Dongdong Zhang, Jiujun Cheng

J. Electronic Imaging, 2015

Approximately Optimal Computing-Budget Allocation for subset ranking.

Junqi Zhang, Zezhou Li, Cheng Wang, Di Zang, MengChu Zhou

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Incorporation of ordinal optimization into learning automata for high learning efficiency.

Junqi Zhang, Cheng Wang, Di Zang, MengChu Zhou

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014

Evaluation and Application of a Hybrid Brain Computer Interface for Real Wheelchair Parallel Control with Multi-Degree of Freedom.

Jie Li, Hongfei Ji, Lei Cao, Di Zang, Rong Gu, Bin Xia, Qiang Wu

Int. J. Neural Syst., 2014

2013

A JND Profile Based on Hierarchically Selective Attention for Images.

Dongdong Zhang, Lijing Gao, Di Zang, Yaoru Sun, Jiujun Cheng

Proceedings of the 2013 IEEE International Symposium on Multimedia, 2013

A spatio-temporal inpainting method for Kinect depth video.

Dongdong Zhang, Ye Yao, Di Zang, Yanyu Chen

Proceedings of the 2013 IEEE International Conference on Signal and Image Processing Applications, 2013

A DCT-domain JND model based on visual attention for image.

Dongdong Zhang, Lijing Gao, Di Zang, Yaoru Sun

Proceedings of the 2013 IEEE International Conference on Signal and Image Processing Applications, 2013

2010

Object rigidity and reflectivity identification based on motion analysis.

Di Zang, Paul R. Schrater, Katja Doerschner

Proceedings of the International Conference on Image Processing, 2010

Illumination invariant object tracking based on multiscale phase.

Di Zang

Proceedings of the International Conference on Image Processing, 2010

2009

Rapid Inference of Object Rigidity and Reflectance Using Optic Flow.

Di Zang, Katja Doerschner, Paul R. Schrater

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2007

Signal modeling for two-dimensional image structures and scale-space based image analysis.

Di Zang

PhD thesis, 2007

Signal modeling for two-dimensional image structures.

Di Zang, Gerald Sommer

J. Vis. Commun. Image Represent., 2007

Dense Optical Flow Estimation from the Monogenic Curvature Tensor.

Di Zang, Lennart Wietzke, Christian Schmaltz, Gerald Sommer

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

2006

The Monogenic Curvature Scale-Space.

Di Zang, Gerald Sommer

Proceedings of the Combinatorial Image Analysis, 11th International Workshop, 2006

Detecting Intrinsically Two-Dimensional Image Structures Using Local Phase.

Di Zang, Gerald Sommer

Proceedings of the Pattern Recognition, 2006

2004

Phase Based Image Reconstruction in the Monogenic Scale Space.

Di Zang, Gerald Sommer

Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004