Edwin R. Hancock

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 196

Top Venues

Publications

Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. CoRR (2024)
Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock
Two-Level Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. CoRR (2024)
Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Lixiang Xu, Edwin R. Hancock
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. CoRR (2024)
Lixin Cui, Lu Bai, Xiao Bai, Yue Wang, Edwin R. Hancock
Learning Aligned Vertex Convolutional Networks for Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
SSHPool: The Separated Subgraph-based Hierarchical Pooling. CoRR (2024)
Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. CoRR (2024)
Lixin Cui, Ming Li, Lu Bai, Yue Wang, Jing Li, Yanchao Wang, Zhao Li, Yunwen Chen, Edwin R. Hancock
QBER: Quantum-based Entropic Representations for un-attributed graphs. Pattern Recognit. 145 (2024)
Qiyao Huang, Yingyue Zhang, Zhihong Zhang, Edwin R. Hancock
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy. NeurIPS (2023)
Lei Zhou, Yang Liu, Xiao Bai, Na Li, Xiaohan Yu, Jun Zhou, Edwin R. Hancock
Attribute subspaces for zero-shot learning. Pattern Recognit. 144 (2023)
Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock
Quantum Graph Learning: Frontiers and Outlook. CoRR (2023)
Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock
Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Chengyu Sun, Xing Ai, Zhihong Zhang, Edwin R. Hancock
Labeled Subgraph Entropy Kernel. CoRR (2023)
Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock
Graph Motif Entropy for Understanding Time-Evolving Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Xuexin Xu, Liang Shi, Xunquan Chen, Pingyuan Lin, Jie Lian, Jinhui Chen, Zhihong Zhang, Edwin R. Hancock
Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content Supervision. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Ahmed Begga, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters. CoRR (2023)
Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Edwin R. Hancock
Graph Representation Learning for Infrared and Visible Image Fusion. CoRR (2023)
Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock
AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. CoRR (2023)
Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Jianjia Wang, Edwin R. Hancock
Statistical structural inference from edge weights using a mixture of gamma distributions. J. Complex Networks 11 (5) (2023)
Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang, Edwin R. Hancock
Position-aware and structure embedding networks for deep graph matching. Pattern Recognit. 136 (2023)
Xunquan Chen, Xuexin Xu, Jinhui Chen, Zhizhong Zhang, Tetsuya Takiguchi, Edwin R. Hancock
Speaker-Independent Emotional Voice Conversion via Disentangled Representations. IEEE Trans. Multim. 25 (2023)
Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai, Edwin R. Hancock
C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling. GbRPR (2023)
Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock
Regionwise Generative Adversarial Image Inpainting for Large Missing Areas. IEEE Trans. Cybern. 53 (8) (2023)
Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock
Information bottleneck and selective noise supervision for zero-shot learning. Mach. Learn. 112 (7) (2023)
Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CoRR (2022)
Chen Wang, Xiang Wang, Jiawei Zhang, Liang Zhang, Xiao Bai, Xin Ning, Jun Zhou, Edwin R. Hancock
Uncertainty estimation for stereo matching based on evidential deep learning. Pattern Recognit. 124 (2022)
Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CVPR (2022)
Xingchen Guo, Xuexin Xu, Xunquan Chen, Jinhui Chen, Rong Jia, Zhihong Zhang, Tetsuya Takiguchi, Edwin R. Hancock
Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphone. Pattern Recognit. 129 (2022)
Lu Bai, Lixin Cui, Edwin R. Hancock
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. ICML (2022)
Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). ICDE (2022)
Yehui Tang, Junchi Yan, Edwin R. Hancock
From Quantum Graph Computing to Quantum Graph Learning: A Survey. CoRR (2022)
William A. P. Smith, Paulina Lewinska, M. A. Cooper, Edwin R. Hancock, Julian A. Dowdeswell, David M. Rippin
Structure-From-Motion With Varying Principal Point. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin R. Hancock
Decompositional Quantum Graph Neural Network. CoRR (2022)
Silvia Tozza, Dizhong Zhu, William A. P. Smith, Ravi Ramamoorthi, Edwin R. Hancock
Uncalibrated, Two Source Photo-Polarimetric Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock
Two-level Graph Neural Network. CoRR (2022)
Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. CoRR (2022)
Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. CoRR (2022)
Jianjia Wang, Xin Zhao, Chong Wu, Edwin R. Hancock
Inferring Edges from Weights in the Debye Model. ICPR (2022)
Lu Bai, Lixin Cui, Edwin R. Hancock
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification. CoRR (2022)
Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification. ECCV (24) (2022)
Dongdong Chen, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock
Thermodynamic motif analysis for directed stock market networks. Pattern Recognit. 114 (2021)
Jianjia Wang, Xingchen Guo, Weimin Li, Xing Wu, Zhihong Zhang, Edwin R. Hancock
Statistical mechanical analysis for unweighted and weighted stock market networks. Pattern Recognit. 120 (2021)
Jinhui Chen, Ryoichi Takashima, Xingchen Guo, Zhihong Zhang, Xuexin Xu, Tetsuya Takiguchi, Edwin R. Hancock
Multimodal fusion for indoor sound source localization. Pattern Recognit. 115 (2021)
Miguel Angel Lozano, Francisco Escolano, Manuel Curado, Edwin R. Hancock
Network embedding from the line graph: Random walkers and boosted classification. Pattern Recognit. Lett. 143 (2021)
Xuexin Xu, Liang Shi, Jinhui Chen, Xunquan Chen, Jie Lian, Pingyuan Lin, Zhihong Zhang, Edwin R. Hancock
Two-Pathway Style Embedding for Arbitrary Voice Conversion. Interspeech (2021)
Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock
Fused lasso for feature selection using structural information. Pattern Recognit. 119 (2021)
Zhihong Zhang, Ruiyang Liang, Xu Chen, Xuexin Xu, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock
Semi-Supervised Face Frontalization in the Wild. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Lixin Cui, Lu Bai, Yanchao Wang, Xin Jin, Edwin R. Hancock
Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection. Pattern Recognit. 114 (2021)
Haixia Xu, Yunjia Huang, Edwin R. Hancock, Shuailong Wang, Qijun Xuan, Wei Zhou
Pooling Attention-based Encoder-Decoder Network for semantic segmentation. Comput. Electr. Eng. 93 (2021)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Network edge entropy decomposition with spin statistics. Pattern Recognit. 118 (2021)
Jianjia Wang, Xichen Wu, Mingrui Li, Hui Wu, Edwin R. Hancock
Erratum: Wang, J., et al. Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. Entropy 2021, 23, 216. Entropy 23 (4) (2021)
Furqan Aziz, Edwin R. Hancock, Richard C. Wilson, Ernesto Estrada
Network entropy using edge-based information functionals. J. Complex Networks 8 (3) (2020)
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. CoRR (2020)
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. ICPR (2020)
Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs. IEEE Trans. Cybern. 50 (3) (2020)
Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock
Learning binary code for fast nearest subspace search. Pattern Recognit. 98 (2020)
Zhihong Zhang, Yangbin Zeng, Lu Bai, Yiqun Hu, Meihong Wu, Shuai Wang, Edwin R. Hancock
Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks. Pattern Recognit. 105 (2020)
Lei Zhou, Xiao Bai, Liang Zhang, Jun Zhou, Edwin R. Hancock
Fast Subspace Clustering Based on the Kronecker Product. ICPR (2020)
Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock
Graph Transformer: Learning Better Representations for Graph Neural Networks. S+SSPR (2020)
Haoran Zhu, Hui Wu, Jianjia Wang, Edwin R. Hancock
Weighted Network Analysis Using the Debye Model. S+SSPR (2020)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Seeking affinity structure: Strategies for improving m-best graph matching. Inf. Sci. 509 (2020)
Hui Wu, Jianjia Wang, Edwin R. Hancock
fMRI Brain Networks as Statistical Mechanical Ensembles. ICPR (2020)
Junchi Yan, Shuang Yang, Edwin R. Hancock
Learning for Graph Matching and Related Combinatorial Optimization Problems. IJCAI (2020)
Giorgia Minello, Andrea Torsello, Edwin R. Hancock
Open system quantum thermodynamics of time-varying graphs. J. Complex Networks 8 (1) (2020)
Lei Zhou, Xueni Zhang, Jianbo Wang, Xiao Bai, Lei Tong, Liang Zhang, Jun Zhou, Edwin R. Hancock
Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock
Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. S+SSPR (2020)
Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects. ICPR (2020)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Directed and undirected network evolution from Euler-Lagrange dynamics. Pattern Recognit. Lett. 134 (2020)
Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI (2020)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor. Entropy 22 (4) (2020)
Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks. S+SSPR (2020)
Lu Bai, Lixin Cui, Luca Rossi, Lixiang Xu, Xiao Bai, Edwin R. Hancock
Local-global nested graph kernels using nested complexity traces. Pattern Recognit. Lett. 134 (2020)
Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects. CoRR (2020)
Jianjia Wang, Hui Wu, Edwin R. Hancock
Thermal Characterisation of Unweighted and Weighted Networks. ICPR (2020)
Huan Li, Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock
LGL-GNN: Learning Global and Local Information for Graph Neural Networks. S+SSPR (2020)
Lu Bai, Lixin Cui, Edwin R. Hancock
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. CoRR (2020)
Xiao Bai, Edwin R. Hancock, Richard C. Wilson, Tin Kam Ho
Special issue on recent advances in statistical, structural and syntactic pattern recognition. Pattern Recognit. Lett. 131 (2020)
Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. CoRR (2019)
Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. ECML/PKDD (1) (2019)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Dirichlet densifiers for improved commute times estimation. Pattern Recognit. 91 (2019)
Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock
Quantum-based subgraph convolutional neural networks. Pattern Recognit. 88 (2019)
Zhihong Zhang, Dongdong Chen, Zeli Wang, Heng Li, Lu Bai, Edwin R. Hancock
Depth-based subgraph convolutional auto-encoder for network representation learning. Pattern Recognit. 90 (2019)
Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock
Learning Vertex Convolutional Networks for Graph Classification. CoRR (2019)
Manuel Curado, Miguel Angel Lozano, Francisco Escolano, Edwin R. Hancock
Dirichlet densifier bounds: Densifying beyond the spectral gap constraint. Pattern Recognit. Lett. 125 (2019)
Zhihong Zhang, Chen Xu, Zhonghao Zhang, Guo Chen, Yide Cai, Zeli Wang, Heng Li, Edwin R. Hancock
Single image super resolution via neighbor reconstruction. Pattern Recognit. Lett. 125 (2019)
Xueni Zhang, Lei Zhou, Xiao Bai, Xiushu Luan, Jie Luo, Edwin R. Hancock
Deep supervised hashing using symmetric relative entropy. Pattern Recognit. Lett. 125 (2019)
Lu Bai, Lixin Cui, Xiao Bai, Edwin R. Hancock
Deep depth-based representations of graphs through deep learning networks. Neurocomputing 336 (2019)
Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock
Latent Distribution Preserving Deep Subspace Clustering. IJCAI (2019)
Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin R. Hancock
Deep Hashing by Discriminating Hard Examples. ACM Multimedia (2019)
Furqan Aziz, Richard C. Wilson, Edwin R. Hancock
A wave packet signature for complex networks. J. Complex Networks 7 (3) (2019)
Miguel Angel Lozano, Manuel Curado, Francisco Escolano, Edwin R. Hancock
Network Embedding by Walking on the Line Graph. GbRPR (2019)
Lu Bai, Lixin Cui, Lixiang Xu, Yue Wang, Zhihong Zhang, Edwin R. Hancock
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis. CoRR (2019)
Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock
A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs. CoRR (2019)
Lixin Cui, Lu Bai, Edwin R. Hancock
Fused Lasso for Feature Selection using Structural Information. CoRR (2019)
Jianjia Wang, Richard C. Wilson, Edwin R. Hancock
Graph Edge Entropy in Maxwell-Boltzmann Statistics for Alzheimer's Disease Analysis. GbRPR (2019)
Zhihong Zhang, Genzhou Zhang, Zhonghao Zhang, Guo Chen, Yangbin Zeng, Beizhan Wang, Edwin R. Hancock
Structural network inference from time-series data using a generative model and transfer entropy. Pattern Recognit. Lett. 125 (2019)
Jinhui Chen, Zhaojie Luo, Zhihong Zhang, Faliang Huang, Zhiling Ye, Tetsuya Takiguchi, Edwin R. Hancock
Polar Transformation on Image Features for Orientation-Invariant Representations. IEEE Trans. Multim. 21 (2) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Edwin R. Hancock