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Viewing Publication 1 - 100 from 850

2026

Motif-aware brain functional connectivity network analysis for cognitive disorder diagnosisDongdong Chen 0003, Linlin Yao, Lu Bai 0001, Edwin R. Hancock, Lichi Zhang. PR, 179:113655, 2026. [doi]

SSHPool: The Separated Subgraph-based Hierarchical PoolingZhuo Xu, Lu Bai 0001, Lixin Cui, Ming Li 0065, Hangyuan Du, Ziyu Lyu, Yue Wang 0014, Edwin R. Hancock. AAAI 2026: 27405-27413 [doi]

2025

AKBR: Learning Adaptive Kernel-based Representations for Graph ClassificationLu Bai 0001, Feifei Qian, Lixin Cui, Ming Li 0065, Hangyuan Du, Yue Wang 0014, Edwin R. Hancock. IJCAI 2025: 2703-2712 [doi]

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum WalksLu Bai 0001, Lixin Cui, Ming Li 0065, Peng Ren 0001, Yue Wang 0014, Lichi Zhang, Philip S. Yu, Edwin R. Hancock. tkde, 37(3):1064-1078, March 2025. [doi]

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract)Lu Bai 0001, Lixin Cui, Yue Wang 0014, Ming Li 0065, Jing Li 0040, Philip S. Yu, Edwin R. Hancock. icde 2025: 4738-4739 [doi]

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract)Lu Bai 0001, Lixin Cui, Ming Li 0065, Peng Ren 0001, Yue Wang 0014, Lichi Zhang, Philip S. Yu, Edwin R. Hancock. icde 2025: 1-2 [doi]

State of the Art and Potentialities of Graph-level LearningZhenyu Yang 0004, Ge Zhang 0002, Jia Wu 0001, Jian Yang 0001, Quan Z. Sheng, Shan Xue 0001, Chuan Zhou 0001, Charu Aggarwal 0001, Hao Peng 0001, Wenbin Hu 0001, Edwin R. Hancock, Pietro Liò. ACM Comput. Surv., 57(2), February 2025. [doi]

Dual-Modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation SystemJing Li 0040, Lu Bai 0001, Bin Yang 0008, Chang Li 0001, Lingfei Ma, Lixin Cui, Edwin R. Hancock. tits, 26(7):9767-9780, July 2025. [doi]

FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in ConversationMing Li 0065, Jiandong Shi, Lu Bai 0001, Changqin Huang, Yunliang Jiang, Ke Lu, Shijin Wang, Edwin R. Hancock. PR, 161:111340, 2025. [doi]

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph ClassificationFeifei Qian, Lu Bai 0001, Lixin Cui, Ming Li 0065, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock. AAAI 2025: 19995-20003 [doi]

Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based ViewpointFeifei Qian, Lu Bai 0001, Lixin Cui, Ming Li 0065, Hangyuan Du, Yue Wang 0014, Edwin R. Hancock. IJCAI 2025: 3235-3244 [doi]

HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph ClassificationXinya Qin, Lu Bai 0001, Lixin Cui, Ming Li 0065, Hangyuan Du, Yue Wang 0014, Edwin R. Hancock. IJCAI 2025: 3245-3253 [doi]

MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph ClassificationXinya Qin, Lu Bai 0001, Lixin Cui, Ming Li 0065, Hangyuan Du, Edwin R. Hancock. nips 2025: [doi]

Fuzzy Statistical Analysis on Complex Network Characterisation: Bridging the Ihara Zeta Function and Thermodynamic Partition FunctionsJianjia Wang, Edwin R. Hancock. fuzzIEEE 2025: 1-6 [doi]

ALStereo: Active learning for stereo matchingJiawei Zhang, Jiahe Li, Meiying Gu, Xiaohan Yu, Jin Zheng, Xiao Bai 0001, Edwin R. Hancock. PR, 164:111480, 2025. [doi]

Fully Decoupled End-to-End Person Search: An Approach without Conflicting ObjectivesPengcheng Zhang, Xiaohan Yu 0001, Xiao Bai 0001, Jin Zheng, Xin Ning 0001, Edwin R. Hancock. ijcv, 133(7):4795-4816, July 2025. [doi]

An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node SelectionZhehan Zhao, Lu Bai 0001, Ming Li 0065, Lixin Cui, Hangyuan Du, Yue Wang 0014, Edwin R. Hancock. IJCAI 2025: 3670-3679 [doi]

ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural NetworksZhehan Zhao, Lu Bai 0001, Lixin Cui, Ming Li 0065, Ziyu Lyu, Lixiang Xu, Yue Wang 0014, Edwin R. Hancock. icml 2025: [doi]

2024

QBMK: Quantum-based Matching Kernels for Un-attributed GraphsLu Bai 0001, Lixin Cui, Ming Li 0065, Yue Wang 0014, Edwin R. Hancock. icml 2024: 2364-2374 [doi]

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph ClassificationLu Bai 0001, Lixin Cui, Yue Wang 0014, Ming Li 0065, Jing Li 0040, Philip S. Yu, Edwin R. Hancock. tkde, 36(11):6370-6384, November 2024. [doi]

Learning From Human Attention for Attribute-Assisted Visual RecognitionXiao Bai 0001, Pengcheng Zhang, Xiaohan Yu 0001, Jin Zheng, Edwin R. Hancock, Jun Zhou 0001, Lin Gu 0003. pami, 46(12):11152-11167, December 2024. [doi]

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation LearningLu Bai 0001, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang 0014, Edwin R. Hancock. nips 2024: [doi]

Collaborative Knowledge Graph Fusion by Exploiting the Open CorpusYue Wang 0014, Yao Wan 0001, Lu Bai 0001, Lixin Cui, Zhuo Xu, Ming Li 0065, Philip S. Yu, Edwin R. Hancock. tkde, 36(2):475-489, February 2024. [doi]

Two-Level Graph Neural NetworkXing Ai, Chengyu Sun, Zhihong Zhang 0001, Edwin R. Hancock. tnn, 35(4):4593-4606, April 2024. [doi]

Mixture of Variational Graph AutoencodersAlessandro Bicciato, Edwin R. Hancock, Richard C. Wilson 0001, Andrea Torsello. ssspr 2025: 82-91 [doi]

Learning Aligned Vertex Convolutional Networks for Graph ClassificationLixin Cui, Lu Bai 0001, Xiao Bai 0001, Yue Wang 0014, Edwin R. Hancock. tnn, 35(4):4423-4437, April 2024. [doi]

QBER: Quantum-based Entropic Representations for un-attributed graphsLixin Cui, Ming Li 0065, Lu Bai 0001, Yue Wang, Jing Li 0040, Yanchao Wang, Zhao Li 0008, Yunwen Chen, Edwin R. Hancock. PR, 145:109877, January 2024. [doi]

Causal-Gaze Zero-Shot Learning (CG-ZSL): Causality-Based Human Attention Integration for Generalizable Visual RecognitionEdwin R. Hancock, Yan Hua Dong. bcds, 5(1):1-10, 2024. [doi]

Exploring the Usage of Pre-trained Features for Stereo MatchingJiawei Zhang, Lei Huang 0015, Xiao Bai 0001, Jin Zheng, Lin Gu 0003, Edwin R. Hancock. ijcv, 132(10):4305-4326, October 2024. [doi]

2023

Graph Motif Entropy for Understanding Time-Evolving NetworksZhihong Zhang 0001, Dongdong Chen 0003, Lu Bai 0001, Jianjia Wang, Edwin R. Hancock. tnn, 34(4):1651-1665, April 2023. [doi]

Learning Graph Convolutional Networks Based on Quantum Vertex Information PropagationLu Bai 0001, Yuhang Jiao 0001, Lixin Cui, Luca Rossi 0004, Yue Wang 0014, Philip S. Yu, Edwin R. Hancock. tkde, 35(2):1747-1760, 2023. [doi]

Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series AnalysisLu Bai 0001, Lixin Cui, Zhihong Zhang 0001, Lixiang Xu, Yue Wang, Edwin R. Hancock. tnn, 34(4):1808-1822, April 2023. [doi]

Position-aware and structure embedding networks for deep graph matchingDongdong Chen 0003, Yuxing Dai, Lichi Zhang, Zhihong Zhang 0001, Edwin R. Hancock. PR, 136:109242, April 2023. [doi]

Attribute subspaces for zero-shot learningLei Zhou 0008, Yang Liu, Xiao Bai 0001, Na Li, Xiaohan Yu 0001, Jun Zhou 0001, Edwin R. Hancock. PR, 144:109869, December 2023. [doi]

Information bottleneck and selective noise supervision for zero-shot learningLei Zhou 0008, Yang Liu, Pengcheng Zhang, Xiao Bai 0001, Lin Gu 0003, Jun Zhou 0001, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock. ml, 112(7):2239-2261, July 2023. [doi]

Speaker-Independent Emotional Voice Conversion via Disentangled RepresentationsXunquan Chen, Xuexin Xu, Jinhui Chen, Zhizhong Zhang, Tetsuya Takiguchi, Edwin R. Hancock. tmm, 25:7480-7493, 2023. [doi]

Gaze-Supervised Hierarchical Attention Networks for Fine-Grained Visual ClassificationEdwin R. Hancock. bcds, 4(1):1-14, 2023. [doi]

ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann EntropyQiyao Huang, Yingyue Zhang, Zhihong Zhang, Edwin R. Hancock. nips 2023: [doi]

Regionwise Generative Adversarial Image Inpainting for Large Missing AreasYuqing Ma, Xianglong Liu 0001, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock. tcyb, 53(8):5226-5239, 2023. [doi]

Statistical structural inference from edge weights using a mixture of gamma distributionsJianjia Wang, Edwin R. Hancock. compnet, 11(5), September 2023. [doi]

Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content SupervisionXuexin Xu, Liang Shi, Xunquan Chen, Pingyuan Lin, Jie Lian, Jinhui Chen, Zhihong Zhang 0001, Edwin R. Hancock. taslp, 31:3431-3445, 2023. [doi]

C2N-ABDP: Cluster-to-Node Attention-Based Differentiable PoolingRongji Ye, Lixin Cui, Luca Rossi 0004, Yue Wang 0014, Zhuo Xu, Lu Bai 0001, Edwin R. Hancock. gbrpr 2023: 70-80 [doi]

2022

Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph ClassificationLu Bai 0001, Lixin Cui, Yuhang Jiao 0001, Luca Rossi 0004, Edwin R. Hancock. pami, 44(2):783-798, 2022. [doi]

Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract)Lu Bai 0001, Yuhang Jiao 0001, Lixin Cui, Luca Rossi 0004, Yue Wang 0014, Philip S. Yu, Edwin R. Hancock. icde 2022: 3132-3133 [doi]

Uncertainty estimation for stereo matching based on evidential deep learningChen Wang 0026, Xiang Wang, Jiawei Zhang, Liang Zhang, Xiao Bai 0001, Xin-ning, Jun Zhou 0001, Edwin R. Hancock. PR, 124:108498, 2022. [doi]

A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed GraphsLu Bai, Lixin Cui, Edwin R. Hancock. icml 2022: 1327-1336 [doi]

Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphoneXingchen Guo, Xuexin Xu, Xunquan Chen, Jinhui Chen, Rong Jia, Zhihong Zhang 0001, Tetsuya Takiguchi, Edwin R. Hancock. PR, 129:108715, 2022. [doi]

AdaMotif-GNN: Adaptive Motif Selection for Graph Neural NetworksEdwin R. Hancock, Eleanor Beatrice. bcds, 3(1):1-10, 2022. [doi]

Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual ClassificationYang Liu, Lei Zhou 0008, Pengcheng Zhang, Xiao Bai 0001, Lin Gu 0003, Xiaohan Yu, Jun Zhou 0001, Edwin R. Hancock. eccv 2022: 57-73 [doi]

Structure-From-Motion With Varying Principal PointWilliam A. P. Smith, Paulina Lewinska, M. A. Cooper, Edwin R. Hancock, Julian A. Dowdeswell, David M. Rippin. lgrs, 19:1-5, 2022. [doi]

Uncalibrated, Two Source Photo-Polarimetric StereoSilvia Tozza, Dizhong Zhu, William A. P. Smith, Ravi Ramamoorthi, Edwin R. Hancock. pami, 44(9):5747-5760, 2022. [doi]

Inferring Edges from Weights in the Debye ModelJianjia Wang, Xin Zhao, Chong Wu, Edwin R. Hancock. icpr 2022: 3845-3850 [doi]

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency PerspectiveJiawei Zhang, Xiang Wang, Xiao Bai 0001, Chen Wang 0026, Lei Huang, Yimin Chen, Lin Gu 0003, Jun Zhou 0001, Tatsuya Harada, Edwin R. Hancock. cvpr 2022: 12991-13001 [doi]

2021

Pooling Attention-based Encoder-Decoder Network for semantic segmentationHaixia Xu 0001, Yunjia Huang, Edwin R. Hancock, Shuailong Wang, Qijun Xuan, Wei Zhou 0027. cee, 93:107260, 2021. [doi]

Thermodynamic motif analysis for directed stock market networksDongdong Chen 0003, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock. PR, 114:107872, 2021. [doi]

Multimodal fusion for indoor sound source localizationJinhui Chen, Ryoichi Takashima, Xingchen Guo, Zhihong Zhang, Xuexin Xu, Tetsuya Takiguchi, Edwin R. Hancock. PR, 115:107906, 2021. [doi]

Internet financing credit risk evaluation using multiple structural interacting elastic net feature selectionLixin Cui, Lu Bai 0001, Yanchao Wang, Xin Jin 0007, Edwin R. Hancock. PR, 114:107835, 2021. [doi]

Fused lasso for feature selection using structural informationLixin Cui, Lu Bai 0001, Yue Wang 0014, Philip S. Yu, Edwin R. Hancock. PR, 119:108058, 2021. [doi]

Uncertainty-Aware Polarimetric Inverse Rendering for Layered Dielectrics with Credible Intervals, Identifiability, and Coverage CalibrationEdwin R. Hancock. bcds, 2(1):17-27, 2021. [doi]

Network embedding from the line graph: Random walkers and boosted classificationMiguel Angel Lozano, Francisco Escolano, Manuel Curado, Edwin R. Hancock. prl, 143:36-42, 2021. [doi]

Network edge entropy decomposition with spin statisticsJianjia Wang, Richard C. Wilson 0001, Edwin R. Hancock. PR, 118:108040, 2021. [doi]

Erratum: Wang, J., et al. Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. Entropy 2021, 23, 216Jianjia Wang, Xichen Wu, Mingrui Li, Hui Wu, Edwin R. Hancock. entropy, 23(4):438, 2021. [doi]

Statistical mechanical analysis for unweighted and weighted stock market networksJianjia Wang, Xingchen Guo, Weimin Li, Xing Wu, Zhihong Zhang, Edwin R. Hancock. PR, 120:108123, 2021. [doi]

Two-Pathway Style Embedding for Arbitrary Voice ConversionXuexin Xu, Liang Shi, Jinhui Chen, Xunquan Chen, Jie Lian, Pingyuan Lin, Zhihong Zhang, Edwin R. Hancock. interspeech 2021: 1364-1368 [doi]

Semi-Supervised Face Frontalization in the WildZhihong Zhang, Ruiyang Liang, Xu Chen 0020, Xuexin Xu, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock. tifs, 16:909-922, 2021. [doi]

2020

A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted GraphsLu Bai 0001, Luca Rossi 0004, Lixin Cui, Jian Cheng 0001, Edwin R. Hancock. tcyb, 50(3):1264-1277, 2020. [doi]

Special issue on recent advances in statistical, structural and syntactic pattern recognitionXiao Bai 0001, Edwin R. Hancock, Richard C. Wilson 0001, Tin Kam Ho. prl, 131:46-48, 2020. [doi]

Local-global nested graph kernels using nested complexity tracesLu Bai 0001, Lixin Cui, Luca Rossi 0004, Lixiang Xu, Xiao Bai 0001, Edwin R. Hancock. prl, 134:87-95, 2020. [doi]

A Quantum-inspired Entropic Kernel for Multiple Financial Time Series AnalysisLu Bai 0001, Lixin Cui, Yue Wang, Yuhang Jiao 0001, Edwin R. Hancock. IJCAI 2020: 4453-4460 [doi]

Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral UnmixingLei Zhou 0008, Xueni Zhang, Jianbo Wang, Xiao Bai 0001, Lei Tong, Liang Zhang, Jun Zhou 0001, Edwin R. Hancock. staeors, 13:4257-4270, 2020. [doi]

Fast Subspace Clustering Based on the Kronecker ProductLei Zhou 0008, Xiao Bai 0001, Liang Zhang, Jun Zhou, Edwin R. Hancock. icpr 2021: 1558-1565 [doi]

Cross-Supervised Joint-Event-Extraction with Heterogeneous Information NetworksYue Wang 0014, Zhuo Xu, Lu Bai 0001, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu. icpr 2021: 278-285 [doi]

Network entropy using edge-based information functionalsFurqan Aziz, Edwin R. Hancock, Richard C. Wilson 0001, Ernesto Estrada. compnet, 8(3), 2020. [doi]

Alzheimer's Brain Network Analysis Using Sparse Learning Feature SelectionLixin Cui, Lichi Zhang, Lu Bai 0001, Yue Wang 0014, Edwin R. Hancock. gacm 2021: 184-194 [doi]

Seeking affinity structure: Strategies for improving m-best graph matchingManuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock. isci, 509:164-182, 2020. [doi]

Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link PredictorManuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock. entropy, 22(4):465, 2020. [doi]

The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 OutbreaksFrancisco Escolano, Miguel Angel Lozano, Edwin R. Hancock. gacm 2021: 195-204 [doi]

LGL-GNN: Learning Global and Local Information for Graph Neural NetworksHuan Li, Boyuan Wang, Lixin Cui, Lu Bai 0001, Edwin R. Hancock. gacm 2021: 129-138 [doi]

Open system quantum thermodynamics of time-varying graphsGiorgia Minello, Andrea Torsello, Edwin R. Hancock. compnet, 8(1), 2020. [doi]

Directed and undirected network evolution from Euler-Lagrange dynamicsJianjia Wang, Richard C. Wilson 0001, Edwin R. Hancock. prl, 134:135-144, 2020. [doi]

Graph Transformer: Learning Better Representations for Graph Neural NetworksBoyuan Wang, Lixin Cui, Lu Bai 0001, Edwin R. Hancock. gacm 2021: 139-149 [doi]

Thermal Characterisation of Unweighted and Weighted NetworksJianjia Wang, Hui Wu, Edwin R. Hancock. icpr 2021: 1641-1648 [doi]

fMRI Brain Networks as Statistical Mechanical EnsemblesHui Wu, Jianjia Wang, Edwin R. Hancock. icpr 2021: 1694-1700 [doi]

Learning for Graph Matching and Related Combinatorial Optimization ProblemsJunchi Yan, Shuang Yang, Edwin R. Hancock. IJCAI 2020: 4988-4996 [doi]

HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving ObjectsSuihanjin Yu, Youmin Zhang 0005, Chen Wang 0026, Xiao Bai 0001, Liang Zhang, Edwin R. Hancock. icpr 2021: 1197-1204 [doi]

Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networksZhihong Zhang, Yangbin Zeng, Lu Bai 0001, Yiqun Hu, Meihong Wu, Shuai Wang, Edwin R. Hancock. PR, 105:107179, 2020. [doi]

Learning binary code for fast nearest subspace searchLei Zhou, Xiao Bai 0001, Xianglong Liu, Jun Zhou 0001, Edwin R. Hancock. PR, 98, 2020. [doi]

Weighted Network Analysis Using the Debye ModelHaoran Zhu, Hui Wu, Jianjia Wang, Edwin R. Hancock. gacm 2021: 153-163 [doi]

2019

The low-rank decomposition of correlation-enhanced superpixels for video segmentationHaixia Xu 0001, Edwin R. Hancock, Wei Zhou 0027. soco, 23(24):13055-13065, 2019. [doi]

Learning Aligned-Spatial Graph Convolutional Networks for Graph ClassificationLu Bai 0001, Yuhang Jiao 0001, Lixin Cui, Edwin R. Hancock. pkdd 2020: 464-482 [doi]

Deep depth-based representations of graphs through deep learning networksLu Bai 0001, Lixin Cui, Xiao Bai 0001, Edwin R. Hancock. ijon, 336:3-12, 2019. [doi]

A wave packet signature for complex networksFurqan Aziz, Richard C. Wilson 0001, Edwin R. Hancock. compnet, 7(3):346-374, 2019. [doi]

Network Time Series Analysis Using Transfer EntropyIbrahim Caglar, Edwin R. Hancock. gbrpr 2019: 194-203 [doi]

Dirichlet densifiers for improved commute times estimationManuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock. PR, 91:56-68, 2019. [doi]

Dirichlet densifier bounds: Densifying beyond the spectral gap constraintManuel Curado, Miguel Angel Lozano, Francisco Escolano, Edwin R. Hancock. prl, 125:425-431, 2019. [doi]

Network Embedding by Walking on the Line GraphMiguel Angel Lozano, Manuel Curado, Francisco Escolano, Edwin R. Hancock. gbrpr 2019: 215-225 [doi]

Graph Edge Entropy in Maxwell-Boltzmann Statistics for Alzheimer's Disease AnalysisJianjia Wang, Richard C. Wilson 0001, Edwin R. Hancock. gbrpr 2019: 56-66 [doi]

Deep supervised hashing using symmetric relative entropyXueni Zhang, Lei Zhou, Xiao Bai 0001, Xiushu Luan, Jie Luo, Edwin R. Hancock. prl, 125:677-683, 2019. [doi]

Structural network inference from time-series data using a generative model and transfer entropyZhihong Zhang, Genzhou Zhang, Zhonghao Zhang, Guo Chen, Yangbin Zeng, Beizhan Wang, Edwin R. Hancock. prl, 125:357-363, 2019. [doi]

Latent Distribution Preserving Deep Subspace ClusteringLei Zhou, Xiao Bai 0001, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock. IJCAI 2019: 4440-4446 [doi]

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