Phase Based Image Reconstruction in the Monogenic Scale Space. - Di Zang; Gerald Sommer (DAGM-Symposium, 2004)

Detecting Intrinsically Two-Dimensional Image Structures Using Local Phase. - Di Zang; Gerald Sommer (DAGM-Symposium, 2006)

The Monogenic Curvature Scale-Space. - Di Zang; Gerald Sommer (IWCIA, 2006)

Dense Optical Flow Estimation from the Monogenic Curvature Tensor. - Di Zang; Lennart Wietzke; Christian Schmaltz; Gerald Sommer (SSVM, 2007)

Signal modeling for two-dimensional image structures. - Di Zang; Gerald Sommer (J. Vis. Commun. Image Represent., 2007)

Signal modeling for two-dimensional image structures and scale-space based image analysis. - Di Zang (2007)

Rapid Inference of Object Rigidity and Reflectance Using Optic Flow. - Di Zang; Katja Doerschner; Paul R. Schrater (CAIP, 2009)

Illumination invariant object tracking based on multiscale phase. - Di Zang (ICIP, 2010)

Object rigidity and reflectivity identification based on motion analysis. - Di Zang; Paul R. Schrater; Katja Doerschner (ICIP, 2010)

A DCT-domain JND model based on visual attention for image. - Dongdong Zhang; Lijing Gao; Di Zang; Yaoru Sun (ICSIPA, 2013)

A spatio-temporal inpainting method for Kinect depth video. - Dongdong Zhang; Ye Yao; Di Zang; Yanyu Chen (ICSIPA, 2013)

A JND Profile Based on Hierarchically Selective Attention for Images. - Dongdong Zhang; Lijing Gao; Di Zang; Yaoru Sun; Jiujun Cheng (ISM, 2013)

Evaluation and Application of a Hybrid Brain Computer Interface for Real Wheelchair Parallel Control with Multi-Degree of Freedom. - Jie Li 016; Hongfei Ji; Lei Cao 002; Di Zang; Rong Gu; Bin Xia 004; Qiang Wu 009 (Int. J. Neural Syst., 2014)

Incorporation of ordinal optimization into learning automata for high learning efficiency. - Junqi Zhang; Cheng Wang 001; Di Zang; MengChu Zhou (CASE, 2015)

Approximately Optimal Computing-Budget Allocation for subset ranking. - Junqi Zhang; Zezhou Li; Cheng Wang 001; Di Zang; MengChu Zhou (ICRA, 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)

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)

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)

A Sliding Window Method for Online Tracking of Spatiotemporal Event Patterns. - Junqi Zhang; ShanWen Zhu; Di Zang; MengChu Zhou (IDCS, 2016)

Integrating Particle Swarm Optimization with Stochastic Point Location method in noisy environment. - Junqi Zhang; Siyu Lu; Di Zang; MengChu Zhou (SMC, 2016)

Traffic sign detection based on cascaded convolutional neural networks. - Di Zang; Junqi Zhang; Dongdong Zhang; Maomao Bao; Jiujun Cheng; Keshuang Tang (SNPD, 2016)

Fast CU partition for H.264/AVC to HEVC transcoding based on fisher discriminant analysis. - Dongdong Zhang; Jie Tong; Di Zang (VCIP, 2016)

Incorporation of Optimal Computing Budget Allocation for Ordinal Optimization Into Learning Automata. - Junqi Zhang; Cheng Wang 001; Di Zang; MengChu Zhou (IEEE Trans Autom. Sci. Eng., 2016)

A Hybrid Learning Algorithm for the Optimization of Convolutional Neural Network. - Di Zang; Jianping Ding; Jiujun Cheng; Dongdong Zhang; Keshuang Tang (ICIC (3), 2017)

Using Convolutional Neural Network with Asymmetrical Kernels to Predict Speed of Elevated Highway. - Di Zang; Jiawei Ling; Jiujun Cheng; Keshuang Tang; Xin Li (ICIS, 2017)

Traffic Parameters Prediction Using a Three-Channel Convolutional Neural Network. - Di Zang; Dehai Wang; Jiujun Cheng; Keshuang Tang; Xin Li (ICIS, 2017)

Decision tree based fast CU partition for HEVC lossless compression of medical image sequences. - Dongdong Zhang; Xiaojing Duan; Di Zang (WCSP, 2017)

Approximate Simulation Budget Allocation for Subset Ranking. - Junqi Zhang; Zezhou Li; Cheng Wang 001; Di Zang; MengChu Zhou (IEEE Trans. Control. Syst. Technol., 2017)

Long Term Traffic Flow Prediction Using Residual Net and Deconvolutional Neural Network. - Di Zang; Yang Fang; Dehai Wang; Zhihua Wei; Keshuang Tang; Xin Li (PRCV (2), 2018)

Connectivity Modeling and Analysis for Internet of Vehicles in Urban Road Scene. - Jiujun Cheng; Hao Mi; Zhenhua Huang 001; Shangce Gao; Di Zang; Cong Liu 012 (IEEE Access, 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)

Traffic Flow Data Prediction Using Residual Deconvolution Based Deep Generative Network. - Di Zang; Yang Fang; Zhihua Wei; Keshuang Tang; Jiujun Cheng (IEEE Access, 2019)

Uncertainty-optimized deep learning model for small-scale person re-identification. - Cairong Zhao; Kang Chen; Di Zang; Zhaoxiang Zhang 001; Wangmeng Zuo; Duoqian Miao 001 (Sci. China Inf. Sci., 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)

Location Prediction Model Based on the Internet of Vehicles for Assistance to Medical Vehicles. - Jiujun Cheng; Huaicheng Yan 002; Aiguo Zhou; Chunmei Liu; Ding Cheng; Shangce Gao; Di Zang; Deli Cheng (IEEE Access, 2020)

A Convolutional Neural Network Accelerator Based on NVDLA. - Kangjin Zhao; Jing Wang 055; Di Zang (ICACS, 2021)

Traffic Data Prediction with Geometric Algebra Convolutional Neural Network. - Di Zang; Xihao Chen; Keshuang Tang; Junqi Zhang; Bin Luo (ICCPR, 2021)

Higher-order sensorimotor circuit of the brain's global network supports human consciousness. - Pengmin Qin; Xuehai Wu; Changwei Wu; Hang Wu; Jun Zhang 081; Zirui Huang; Xuchu Weng; Di Zang; Zengxin Qi; Weijun Tang; Tanikawa Hiromi; Jiaxing Tan; et al. (NeuroImage, 2021)

Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states. - Federico Zilio; Javier Gomez-Pilar; Shumei Cao; Jun Zhang 081; Di Zang; Zengxin Qi; Jiaxing Tan; Tanigawa Hiromi; Xuehai Wu; Stuart M. Fogel; Zirui Huang; Matthias R. Hohmann; et al. (NeuroImage, 2021)

Traffic Data Prediction with Geometric Algebra Spatial-Temporal Attention Neural Network. - Di Zang; Yongjie Ding; Xiaoke Qu; Xihao Chen; Keshuang Tang; Junqi Zhang (ICBDC, 2022)

Traffic Congestion Propagation Prediction Based on Multi-vector Deep Neural Networks. - Di Zang; Xiaoke Qu; Yongjie Ding; Xihao Chen; Keshuang Tang; Junqi Zhang (ICBDC, 2022)

Long-Term Traffic Speed Prediction Based on Geometric Algebra ConvLSTM and Graph Attention. - Chenglin Miao; Wen Su; Yanqing Fu; Xihao Chen; Di Zang (SmartIoT, 2022)

TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation. - Xiangyu Zhao 003; Di Zang; Sheng Wang 014; Zhenrong Shen 001; Kai Xuan; Zeyu Wei; Zhe Wang; Ruizhe Zheng; Xuehai Wu; Zheren Li; Qian Wang 001; Zengxin Qi; et al. (CoRR, 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)

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 010; Yangbeibei Ji (IEEE Trans. Intell. Transp. Syst., 2022)

Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images. - Zhiyun Song; Zengxin Qi; Xin Wang 125; Xiangyu Zhao 003; Zhenrong Shen 001; Sheng Wang 014; Manman Fei; Zhe Wang; Di Zang; Dongdong Chen 003; Linlin Yao; Qian Wang 001; et al. (CoRR, 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 002; et al. (NeuroImage, 2023)

Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. - Renping Yu; Han Zhang 002; Xuehai Wu; Xuan Fei; Qing Yang; Zhiwei Ma; Zengxin Qi; Di Zang; Weijun Tang; Ying Mao 002; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

PSO-Based Sparse Source Location in Large-Scale Environments With a UAV Swarm. - Junqi Zhang; Yehao Lu; Yunzhe Wu; Cheng Wang 001; Di Zang; Abdullah Abusorrah; Mengchu Zhou (IEEE Trans. Intell. Transp. Syst., 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 002; et al. (Entropy, 2023)

Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage. - Di Zang; Xiangyu Zhao 003; Yuanfang Qiao; Jiayu Huo; Xuehai Wu; Zhe Wang; Zeyu Xu; Ruizhe Zheng; Zengxin Qi; Ying Mao 002; Lichi Zhang (Brain Informatics, 2023)

sTBI-GAN: An adversarial learning approach for data synthesis on traumatic brain segmentation. - Xiangyu Zhao 003; Di Zang; Sheng Wang 014; Zhenrong Shen 001; Kai Xuan; Zeyu Wei; Zhe Wang; Ruizhe Zheng; Xuehai Wu; Zheren Li; Qian Wang 001; Zengxin Qi; et al. (Comput. Medical Imaging Graph., 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)

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)

Enhancing Neural Network Reliability: Insights From Hardware/Software Collaboration With Neuron Vulnerability Quantization. - Jing Wang 055; Jinbin Zhu; Xin Fu; Di Zang; Keyao Li; Weigong Zhang (IEEE Trans. Computers, 2024)

Uni-COAL: A unified framework for cross-modality synthesis and super-resolution of MR images. - Zhiyun Song; Zengxin Qi; Xin Wang 125; Xiangyu Zhao 003; Zhenrong Shen 001; Sheng Wang 014; Manman Fei; Zhe Wang; Di Zang; Dongdong Chen 003; Linlin Yao; Mengjun Liu; et al. (Expert Syst. Appl., 2025)

MGCL: Multiorder Graph Neural Network With Cross-Learning for Multivariate Time-Series Anomaly Detection. - Zhe Cui; Di Zang; Junqi Zhang; Keshuang Tang (IEEE Trans. Instrum. Meas., 2025)

Sharing Control Knowledge Among Heterogeneous Intersections: A Distributed Arterial Traffic Signal Coordination Method Using Multi-Agent Reinforcement Learning. - Hong Zhu; Jialong Feng; Fengmei Sun; Keshuang Tang; Di Zang; Qi Kang (IEEE Trans. Intell. Transp. Syst., 2025)

Geometric Algebra Multi-Order Graph Neural Network for Traffic Prediction. - Di Zang; Zhe Cui; Zengqiang Wang; Juntao Lei; Yongjie Ding; Chenguang Wei; Junqi Zhang (IEEE Trans. Big Data, 2025)