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Selected Publications | Full
List of Publications Selected Publications
in 2021 ------------------------------------------------------------------------ 1.
J. Chen, L. Niu
and L. Zhang, "Depth
Privileged Scene Recognition via Dual Attention Hallucination," in IEEE
Trans. on Image Processing, vol. 30, pp. 9164-9178, 2021. 2.
J. Li, L. Liu, L. Niu
and L. Zhang, "Memorize,
Associate and Match: Embedding Enhancement via Fine-Grained Alignment for
Image-Text Retrieval," in IEEE Transactions on Image Processing,
vol. 30, pp. 9193-9207, 2021 3.
Jianfu
Zhang, Li Niu, Liqing
Zhang, "Person
Re-Identification with Reinforced Attribute Attention Selection", IEEE
Transactions on Image Processing, 30: 603-616 (2021) 4.
Zhangxuan
Gu, Li Niu, Haohua
Zhao, Liqing Zhang, "Hard Pixel Mining for Depth
Privileged Semantic Segmentation", IEEE Transactions on
Multimedia, 2021. 5.
Dawei
Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang, “Graph Neural
Network for Fraud Detection via Spatial-temporal Attention”, IEEE Transactions on Knowledge and Data Engineering,
2021. 6.
Dawei
Cheng, Zhibin Niu, Liqing Zhang, “Delinquent
Events Prediction in Temporal Networked-Guarantee Loans”, IEEE Transactions on Neural Networks and Learning Systems,
2021. 7.
Yiyi
Zhang, Yasushi Makihara, Daigo
Muramatsu, Jianfu Zhang,
Li Niu, Liqing Zhang,
Yasushi Yagi: Learn to Walk Across
Ages: Motion Augmented Multi-Age Group Gait Video Translation. IEEE
Access 9: 40550-40559 (2021) 8.
程大伟, 牛志彬, 刘新海, 张丽清, 复杂担保网络中传染路径的风险评估,中国科学: 信息科学2021 年 9. Junjie Chen · Li Niu · Liu Liu · Liqing Zhang,
Weak-shot
Fine-grained Classification via Similarity Transfer, NeurIPS2021 10. Yan Liu · Zhijie
Zhang · Li Niu · Junjie Chen · Liqing Zhang, Mixed Supervised
Object Detection by Transferring Mask Prior and Semantic Similarity,
NeurIPS2021 11. Wentao Wang, Jianfu
Zhang, Li Niu, Haoyu
Ling, Xue Yang, Liqing
Zhang, "Parallel
Multi-Resolution Fusion Network for Image Inpainting", ICCV, 2021. pp. 14559-14568 12. Lu
He, Qianyu Zhou, Xiangtai
Li, Li Niu, Guangliang
Cheng, Xiao li, Wenxuan Liu, Yunhai
Tong, Lizhuang Ma, Liqing
Zhang, End-to-End Video Object
Detection with Spatial-Temporal Transformers, ACMM2021, Oct 20-24, 2021,
Chengdu, China 13. Jiangtong Li, Wentao
Wang, Junjie Chen, Li Niu,
Jianlou Si, Chen Qian, Liqing
Zhang , Video Semantic
Segmentation with Sparse Temporal Transformer, ACMM2021, Oct 20-24, 2021,
Chengdu, China 14.
Jing Liang, Li Niu,
Fengjun Guo, Teng Long, Liqing
Zhang, Visible
Watermark Removal via Self-calibrated Localization and Background Refinement,
ACMM2021,
Oct 20-24, 2021, Chengdu, China 15.
Zhijie
Zhang, Yan Liu, Junjie Chen, Li Niu, Liqing Zhang."Depth
Privileged Object Detection in Indoor Scenes via Deformation Hallucination",
AAAI, 2021 16.
Liu Liu, Jiangtong Li, Li Niu, Ruicong Xu, Liqing Zhang."Activity
Image-to-Video Retrieval by Disentangling Appearance and Motion",
AAAI, 2021 17.
Ziqi
Pan, Li Niu, Jianfu
Zhang, Liqing Zhang. "Disentangled Information Bottleneck",
AAAI, 2021 18.
Bo Zhang, Li Niu,
Liqing Zhang, “Image Composition Assessment with
Saliency-augmented Multi-pattern Pooling”, BMVC2021. Selected Publications in 2020
-------------------------------------------------------------------------- 19. 程大伟、牛志彬、张丽清，大规模不均衡担保网络贷款的风险研究，计算机学报，Vol 43, No. 4, pp668-682, 2020.4 20. Zhang J, Yang P, Wang W, Yan Hong; Liqing
Zhang. Image
Editing via Segmentation Guided Self-Attention Network[J]. IEEE
Signal Processing Letters, 2020, 27: 1605-1609. 21. Yi Tu, Li Niu, Junjie
Chen, Dawei Cheng, Liqing
Zhang: Learning From
Web Data With Self-Organizing Memory Module. CVPR 2020:
12843-12852 22. Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang: DoveNet:
Deep Image Harmonization via Domain Verification. CVPR 2020:
8391-8400 23. Yi Tu, Li Niu, Weijie
Zhao, Dawei Cheng, Liqing
Zhang: Image Cropping with
Composition and Saliency Aware Aesthetic Score Map. AAAI 2020:
12104-12111 24. Ruicong Xu, Li Niu, Jianfu
Zhang, Liqing Zhang: A Proposal-Based Approach for
Activity Image-to-Video Retrieval. AAAI 2020: 12524-12531 25. Yiyi Zhang, Li Niu, Ziqi
Pan, Meichao Luo, Jianfu
Zhang, Dawei Cheng, Liqing
Zhang: Exploiting Motion
Information from Unlabeled Videos for Static Image Action Recognition. AAAI
2020: 12918-12925 26. Zhangxuan Gu, Siyuan Zhou, Li Niu, Zihan Zhao, Liqing Zhang: Context-aware
Feature Generation for Zero-shot Semantic Segmentation. ACM
Multimedia 2020: 1921-1929 27. Yan Hong, Li Niu, Jianfu Zhang, Weijie Zhao, Chen
Fu, Liqing Zhang: F2GAN:
Fusing-and-Filling GAN for Few-shot Image Generation. ACM
Multimedia 2020: 2535-2543 28. Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, Liqing
Zhang: Knowledge
Graph-based Event Embedding Framework for Financial Quantitative Investments.
SIGIR 2020: 2221-2230 29. Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang: Risk Guarantee
Prediction in Networked-Loans. IJCAI 2020: 4483-4489 30. Dawei Cheng, Sheng Xiang, Chencheng
Shang, Yiyi Zhang, Fangzhou
Yang, Liqing Zhang: Spatio-Temporal
Attention-Based Neural Network for Credit Card Fraud Detection. AAAI
2020: 362-369 Selected
Publications Before 2020
--------------------------------------------------------------------- 31. L. Niu, J. Cai,
A. Veeraraghavan and L. Zhang, "Zero-Shot
Learning via Category-Specific Visual-Semantic Mapping and Label Refinement,"
in IEEE
Transactions on Image Processing, vol. 28, no. 2, pp. 965-979, Feb.
2019. 32. Dawei Cheng, Yi Tu,
Zhen-Wei Ma, Zhibin Niu, Liqing Zhang: BHONEM:
Binary High-Order Network Embedding Methods for Networked-Guarantee Loans.
J. Comput. Sci. Technol. 34(3): 657-669 (2019) 33. Jianfu Zhang, Li Niu, Dexin Yang, Liwei Kang, Yaoyi Li, Weijie Zhao, Liqing Zhang: GAIN: Gradient
Augmented Inpainting Network for Irregular Holes. ACM Multimedia 2019:
1870-1878 34. Jianfu Zhang, Yuanyuan
Huang, Yaoyi Li, Weijie
Zhao, Liqing Zhang: Multi-Attribute
Transfer via Disentangled Representation. AAAI 2019: 9195-9202, January 27 – February 1, 2019, Honolulu, USA. 35. Dawei Cheng, Yi Tu,
Zhen-Wei Ma, Zhibin Niu, Liqing Zhang: Risk Assessment for
Networked-guarantee Loans Using High-order Graph Attention Representation.
IJCAI 2019: 5822-5828 36. Zhang J, Wang N, Zhang L. Multi-shot
Pedestrian Re-identification via Sequential Decision Making，CVPR 2018, Salk Lake City, June
18-22. 37. Z. Zhou, Xiu Di,
Wei Zhou and Liqing Zhang. Fashion Sensitive
Clothing Recommendation Using Hierarchical Collocation Model.
ACMMM2018, PP 1119-1127, Seoul, Republic of Korea — October 22 - 26, 2018
38. D. Cheng, Y. Liu, Z. Niu
and L. Zhang, "Modeling Similarities Among Multi-Dimensional Financial
Time Series," in IEEE Access, vol. 6, pp.
43404-43413, 2018. doi: 10.1109/ACCESS.2018.2862908 39. D. Cheng, Y. Tu, Z. Niu
and L. Zhang, "Learning Temporal Relationships Between Financial
Signals," ICASSP2018, Calgary, AB, 2018, pp. 2641-2645. doi: 10.1109/ICASSP.2018.8462330 40. Zhang, Keting, Xue, Weichen & Zhang, Liqing. (2017). Non-blind image deconvolution using deep
dual-pathway rectifier neural network. 2602-2606. 10.1109/ICASSP.2017.7952627. 41. Zhang, Keting, Xue, Weichen & Zhang, Liqing. (2017). Supervised Dictionary Learning with
Smooth Shrinkage for Image Denoising，《Neural Processing Letters》，2017
(11) :1-14 42. Zhang, Keting;
Zhang, Liqing, Extracting hierarchical spatial and
temporal features for human action recognition, Multimedia Tools and
Applications, 2017.09, Vol. 43. Y. Liu, Zhang, H.; Chen, M.; Zhang, L., A
Boosting-Based Spatial-Spectral Model for Stroke Patients' EEG Analysis in
Rehabilitation Training, IEEE Trans Neural Systems and
Rehabilitation Engineering, 24 (1), pp169-179, 2016 (IF= 3.188) 44. Q. Zhao, G. Zhou, Liqing
Zhang, A. Cichocki, S. Amari, Bayesian
Robust Tensor Factorization for Incomplete Multiway Data, IEEE
Transactions on Neural Networks and Learning Systems, 2016, Accepted
(IF=4.291) 45. Keting
Zhang, Weichen Xue, Liqing Zhang, NON-BLIND IMAGE DECONVOLUTION USING DEEP
DUAL-PATHWAY RECTIFIER NEURAL NETWORK, ICASSP2017 46. Li; Y. Wang; L. Zhang; A. Cichocki; T. P. Jung, "Decoding EEG in Cognitive
Tasks with Time-frequency and Connectivity Masks," in IEEE
Transactions on Cognitive and Developmental Systems, vol.PP, no.99, pp.1-1 47. Zhengzhong
Zhou, Liqing Zhang, Demand-adaptive Clothing Image
Retrieval Using Hybrid Topic Model, ACM MULTIMEDIA 2016, 15 - 19
October 2016, Amsterdam, Netherlands. 48. Ye Liu, Qibin
Zhao and Liqing Zhang, Higher-order Correlation
Coefficient Analysis for EEG-based Brain-Computer Interface, 22nd European
Conference on AI (ECAI2016), Aug. 29 – Sep. 2, 2016, Hague, Netherlands. 49. Zhengzhong
Zhou, Yifei Xu, Jingjin
Zhou, Liqing Zhang, Interactive Image Search for
Clothing Recommendation, ACMMM demo 2016, 15 - 19 October
2016, Amsterdam, Netherlands. 50. Q. Zhao, Liqing
Zhang, and Andrzej Cichocki, Bayesian
CP Factorization of Incomplete Tensors with Automatic Rank Determination,
IEEE
PAMI, 2015, Vol.37, No.9: 1751 - 1763, 2015 (IF= 5.781) 51. Y. Liu, Q. Zhao, and Liqing
Zhang, Uncorrelated
Multiway Discriminant Analysis for Motor Imagery EEG Classification, International
Journal of Neural Systems, Vol. 25, No. 4 (2015) 1550013 (14 pages)
(IF=6.507) 52. J. Li, Z. Struzik, Liqing
Zhang, A. Cichocki: Feature
learning from incomplete EEG with denoising autoencoder. Neurocomputing,
Volume 165, October 2015, pp23-31 (IF=2.083) 53. J. Wu , C.Wang, Liqing Zhang, Y. Rui, Offline Sketch
Parsing via Shapeness Estimation, IJCAI 2015, pp 1200-1207, Buenos
Aires, Argentina, July 25-31, 2015. (CCF A类) 54. C. Wang, L. Zhao, S. Liang, Liqing Zhang, J. Jia, Yichen
Wei, Object
Proposal by Multi-branch Hierarchical Segmentation, CVPR 2015, pp
3873-3881June 7-12, Boston, USA
(CCF A类, Google他引=2 ) 55. C. Xiao, Changhu
Wang, Liqing Zhang, Lei Zhang, IdeaPanel: A Large Scale Interactive Sketch-based Image Search System",
ICMR2015:
667-668, June 23-26 Shanghai, China 56. C. Xiao, Changhu
Wang, Liqing Zhang, Lei Zhang, Sketch-based Image Retrieval
via Shape Words, ICMR2015: 571-574, June 23-26
Shanghai, China 57. C. Xiao, Changhu
Wang, Liqing Zhang: PPTLens: Create Digital
Objects with Sketch Images. ACM Multimedia, Demo, 2015:
745-746, Oct. 26 – 30, 2015, Brisbane,
Australia 58. H. Wang, Z. Zhou, C. Xiao and Liqing Zhang, Content
Based Image Search for Clothing Recommendations in E-Commerce,
page252-267, in Multimedia Data Mining and Analytics, Baughman, A., Gao, J.,
Pan, J.-Y., Petrushin, V.A. (Eds.), Springer 2015 59. Jie Wu,
Changhu Wang, Liqing
Zhang, Yong Rui, Sketch
Recognition with Natural Correction and Editing, AAAI 2014, Jul 27-31,
2014, Québec, Canada 60. Ye Liu, Mingfen
Li, Hao Zhang, Hang Wang, Junhua Li, Jie Jia, Yi Wu, Liqing Zhang, A
tensor-based scheme for stroke patients’ motor imagery EEG analysis in BCI-FES
rehabilitation training, Journal of Neuroscience Methods,
Volume 222, 30 January 2014, Pages 238-249 61. Qibin
Zhao, Liqing Zhang and Andrzej Cichocki,
Multilinear
and nonlinear generalizations of partial least squares: an overview of recent
advances, WIREs Data Mining and Knowledge Discovery, 2014, 4:104–115 62. Qiang Wu,
Liqing Zhang, Andrzej Cichocki,
Multifactor
sparse feature extraction using Convolutive Nonnegative Tucker Decomposition,
Neurocomputing 129 (2014)17–24 63.
Q.
Zhao, C. Caiafa, D. Mandic, Z. Chao, Y. Nagasaka, N. Fujii, Liqing Zhang and A. Cichocki, Higher-Order
Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method,
IEEE
PAMI, 35(7): 1660-1673, July, 2013 64.
Qibin Zhao, Guoxu
Zhou, Tülay Adali,
Liqing Zhang, and Andrzej Cichocki,
"Kernelization
of Tensor-Based Models for Multiway Data Analysis: Processing of
Multidimensional Structured Data," Signal Processing Magazine, IEEE ,
vol.30, no.4, pp.137,148, July 2013 65.
Junhua Li, Jianyi
Liang, Qibin Zhao, Jie
Li, Kan Hong, Liqing Zhang and Andrzej Cichocki, Design
of Assistive Wheelchair System Directly Steered by Human Thoughts, International
Journal of Neural Systems, Vol. 23, No. 3 1350013 (12 pages), 2013 66.
Q.
Zhao, Liqing Zhang and A. Cichocki,
A
Tensor-Variate Gaussian Process for Classification of Multidimensional
Structured Data, AAAI2013,
July 14-18, 2013, Bellevue, USA 67.
Q.
Zhao, G Zhou, T Adali, L Zhang, A Cichocki Kernel-based
tensor Partial Least Squares for reconstruction of limb movements. In: Machine Learning for Signal
Processing, ICASSP2013, May 26-31, Vancouver, Canada, 2013 68.
Jie Wu and Liqing
Zhang, GESTALT
SALIENCY: Salient Region Detection Based on GESTALT Priciples,
ICIP 2013, Sept. 15-18, Melbourne, Australia 69.
Zhenbang Sun, Changhu
Wang, Liqing Zhang, and Lei Zhang, Free
Hand-Drawn Sketch Segmentation, 12th European Conference on Computer Vision
(ECCV2012), Firenze, Italy, Oct.7-13, 2012 70.
Zhenbang Sun, Changhu
Wang, Liqing Zhang and Lei Zhang, Query-Adaptive
Shape Topic Mining for Hand-Drawn Sketch Recognition, ACM Multimedia 2012,
Nara, Japan, Oct 29-Nov 2, 2012 71.
Rong
Zhou, Liuli Chen and Liqing
Zhang, Sketch-based
Image Retrieval on a Large Scale Database, ACM Multimedia 2012,
Nara, Japan, Oct 29-Nov 2, 2012 72.
Junhua Li and Liqing
Zhang, Active training paradigm for
motor imagery BCI, Experimental
Brain Research, 219(2):
245-254, Apr 5, 2012 73.
Wenjun
Zhu, Liqing Zhang, Qianwei
Bian, A
hierarchical latent topic model based on sparse coding, Neurocomputing, 76(1): 28-35, January 2012 74.
Yang
Cao, Wang Changhu, Zhang Liqing,
Lei Zhang, Edgel Inverted Index
for Large-Scale Sketch-based Image Search, CVPR2011, Colorado
Springs, 2011 75.
Qiang Wu, Liqing Zhang
and Guangchuan Shi, Robust
Multifactor Speech Feature Extraction Based on Gabor Analysis, IEEE
Transactions on Audio, Speech, and Language Processing, Vol.19(4):
927-936, 2011 76.
Q.
Zhao, C. Caiafa, D. Mandic, L. Zhang, T. Ball, A. Bonhage, A. Cichocki, A
Multilinear Subspace Regression Method Using Orthogonal Tensors
Decompositions, 25th Conference on Neural Information
Processing Systems (NIPS 2011), Granada, Spain, 2011 77.
Yang
Cao, Hai Wang, Changhu Wang, Zhiwei
Li, Liqing Zhang, Lei Zhang, *MindFinder:
Interactive Sketch-based Image Search on Millions of Images, ACM Multimedia 2010, pp1605-1608 (Best
Demo Award), October 25-29, Firenze, Italy 78.
Yang
Cao, Changhu Wang, Zhiwei
Li, Liqing Zhang, Lei Zhang, Spatial-Bag-of-Features,
CVPR2010,
June 14-16, 2010, San Francisco, USA 79.
Cheng
Peng, Liqing Zhang, and Teresa Head-Gordon, Instantaneous Normal Modes as an
Unforced Reaction Coordinate for Protein Conformational Transitions,
Biophysical
Journal, 2010 May 19;98(10):2356-64 80.
Jie Li, Liqing
Zhang, Regularized tensor discriminant
analysis for single trial EEG classification in BCI, Pattern
Recognition Letters 31: 619–628, (2010) 81.
Qibin Zhao, Liqing
Zhang and Andrzej Cichocki, EEG-based asynchronous BCI control of a car in 3D virtual reality
environments, Chinese Science Bulletin,
54(1):78-87, 2009 82.
Jie Li, Liqing
Zhang, Dacheng Tao, Han Sun and Qibin
Zhao, A Prior Neurophysiologic Knowledge
Free Tensor-based Scheme for Single Trial EEG Classification (Abstract), IEEE Transactions on Neural Systems and
Rehabilitation Engineering, 17(2):107-115,2009 83.
Xiaodi Hou, Liqing
Zhang, Dynamic Visual Attention: Searching
for coding length increments, Advances in neural
information processing systems (NIPS2008)
, Vol 21, pp681-688, Vancouver, 2008 [Algorithm, Data, Citations
] 84.
Cichocki, Y. Washizawa,
T. Rutkowski, H. Bakardjian, A. Phan, S. Choi, H.
Lee, Q. Zhao, L. Zhang, and Y.
Li, Noninvasive Brain-Computer
Interface: Current Trends and Challenges in Signal Processing - Multiway
Array Decompositions, (ABSTRACT). IEEE Computer Invited
Paper, Vol. 41(10), pp.34-42, October, 2008 85.
Zhaoshui He, Shengli Xie, Liqing Zhang, and Andrzej Cichocki，A Note on Lewicki-Sejnowski Gradient
for Learning Overcomplete Representations, Neural Comp. 2008.
20:636-643. 86.
Libo Ma, and Liqing
Zhang, Overcomplete topographic independent
component analysis, Neurocomputing, Volume 71, Issues
10-12, Pages 2217-2223, June 2008 87.
Yang Wenlu, Zhang Liqing and Ma Libo, Computational
model for perception of objects and motions, Science in China, Series C: Life Science, Vol.51, No.6,
pp526-536, 2008 88.
Xiaodi Hou, Liqing
Zhang, Color Conceptualization, ACM
Multimedia (ACMMM2007), September 24 - 29, 2007, Augsburg, Germany. 89.
Xiaodi
Hou and
Liqing
Zhang, Saliency Detection: A Spectral
Residual Approach, IEEE Conf. on Computer Vision and Pattern
Recognition (CVPR '07), 17-22, Minneapolis, MN, USA. 2007. [Algorithm,
Data, Citations] 90. L. Zhang, A. Cichocki
and S. Amari, Multichannel Channel Blind
Deconvolution of Non-minimum Phase Systems Using Filter Decomposition,
IEEE
Transactions on Signal Processing, Vol. 52, No5, pp1431-1442, 2004
[Algorithm, Citations
] 91. L. Zhang, A. Cichocki
and S. Amari, Self-Adaptive Blind Source
Separation Based on Activation function Adaptation,
IEEE Transactions on Neural Networks, Vol.15, No.2, pp233-244, 2004
[Algorithm, Citations]
92.
L.
Zhang S. Amari and A. Cichocki, Semi-parametric Model and
Superefficiency in Blind Deconvolution, Signal Processing, 81:2535-2553, 2001 93.
L.
Zhang and A. Cichocki, Blind
Deconvolution of Dynamical Systems: A State Space Approach, Invited
paper, Journal of Signal Processing,
Vol.4, No.2, pp.111-130, 2000. 94.
L.
Zhang, A. Cichocki and S. Amari, Semiparametric
Approach for Blind Deconvolution of Non-minimum Phase Systems, NIPS12,
Editors: S.A. Solla, T.K. Leen and K.-R.
Muller , MIT Press, pp363-369,
2000. 95.
L. Zhang and A. Cichocki,
Blind
Separation of Filtered Source Using State-Space Approach, NIPS11,
Editors: M.S. Kearns, S.A. Solla and D.A.
Cohn, MIT press, pp648-654, 1999 96. L. Zhang, A. Cichocki
and S. Amari, Natural Gradient Algorithm to Blind
Separation of Over-determined Mixture with Additive Noises, IEEE Signal Processing Letters,
Vol. 6, No. 11, pp293-295, 1999. |
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