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2020 – today
- 2024
[j16]Shannan Zhong, Shu-Juan Peng, Xin Liu, Lei Zhu, Xing Xu, Taihao Li:
Ecarnet: enhanced clue-ambiguity reasoning network for multimodal fake news detection. Multim. Syst. 30(1): 55 (2024)- [j15]Shu-Juan Peng, Jinhan Yi
, Xin Liu, Yiu-ming Cheung, Zhen Cui, Taihao Li:
OLCH: Online Label Consistent Hashing for streaming cross-modal retrieval. Pattern Recognit. 150: 110335 (2024) - [j14]Shu-Juan Peng, Ye Fan, Yiu-ming Cheung, Xin Liu, Zhen Cui, Taihao Li:
Towards Efficient Cross-Modal Anomaly Detection Using Triple-Adaptive Network and Bi-Quintuple Contrastive Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 697-709 (2024) - [j13]Shu-Juan Peng, Yi He, Xin Liu, Yiu-ming Cheung, Xing Xu, Zhen Cui:
Relation-Aggregated Cross-Graph Correlation Learning for Fine-Grained Image-Text Retrieval. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2194-2207 (2024) - 2023
- [j12]Wentao Fan, Hanyuan Huang, Chen Liang, Xin Liu, Shu-Juan Peng:
Unsupervised meta-learning via spherical latent representations and dual VAE-GAN. Appl. Intell. 53(19): 22775-22788 (2023) - [c12]Chen Liang, Wentao Fan, Xin Liu, Shu-Juan Peng:
A Contrastive Method for Continual Generalized Zero-Shot Learning. IEA/AIE (1) 2023: 365-376 - 2022
- [c11]Dunqiang Liu, Shu-Juan Peng, Xin Liu, Lei Zhu, Zhen Cui, Taihao Li:
Inconsistency Distillation For Consistency: Enhancing Multi-View Clustering via Mutual Contrastive Teacher-Student Leaning. ICDM 2022: 251-258 - 2021
- [j11]Shu-Juan Peng, Liang-Yu Zhang, Xin Liu:
Flexible human motion transition via hybrid deep neural network and quadruple-like structure learning. Int. J. Comput. Sci. Eng. 24(2): 136-146 (2021) - [j10]Shu-Juan Peng, He Zhang, Xin Liu, Wentao Fan, Bineng Zhong, Ji-Xiang Du:
Real-time video dehazing via incremental transmission learning and spatial-temporally coherent regularization. Neurocomputing 458: 602-614 (2021) - [c10]Yi He, Xin Liu, Yiu-Ming Cheung, Shu-Juan Peng, Jinhan Yi, Wentao Fan:
Cross-Graph Attention Enhanced Multi-Modal Correlation Learning for Fine-Grained Image-Text Retrieval. SIGIR 2021: 1865-1869 - 2020
- [j9]Xingzhi Wang, Xin Liu, Shu-Juan Peng, Bineng Zhong, Yewang Chen, Ji-Xiang Du:
Semi-supervised discrete hashing for efficient cross-modal retrieval. Multim. Tools Appl. 79(35-36): 25335-25356 (2020)
2010 – 2019
- 2019
- [c9]Xingzhi Wang, Xin Liu, Shu-Juan Peng, Yiu-ming Cheung, Zhikai Hu, Nannan Wang:
Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval. ICDM 2019: 1348-1353 - 2018
- [j8]Xin Liu, Meng Xu, Shu-Juan Peng, Wentao Fan, Ji-Xiang Du:
Efficient human motion capture data annotation via multi-view spatiotemporal feature fusion. IET Signal Process. 12(3): 269-276 (2018) - [j7]Xin Liu, An Li, Ji-Xiang Du, Shu-Juan Peng, Wentao Fan:
Efficient cross-modal retrieval via flexible supervised collective matrix factorization hashing. Multim. Tools Appl. 77(21): 28665-28683 (2018) - [c8]Dong Hu, Shu-Juan Peng, Xin Liu:
Pixel-Level Character Motion Style Transfer using Conditional Adversarial Networks. CGI 2018: 129-138 - 2017
- [j6]Xin Liu, Gao-Feng He, Shu-Juan Peng, Yiu-ming Cheung, Yuan Yan Tang:
Efficient Human Motion Retrieval via Temporal Adjacent Bag of Words and Discriminative Neighborhood Preserving Dictionary Learning. IEEE Trans. Hum. Mach. Syst. 47(6): 763-776 (2017) - [c7]Dong Hu, Xin Liu, Shu-Juan Peng, Bineng Zhong, Ji-Xiang Du:
Automatic Character Motion Style Transfer via Autoencoder Generative Model and Spatio-Temporal Correlation Mining. CCCV (1) 2017: 705-716 - [c6]Bing Zhou, Xin Liu, Shu-Juan Peng, Bineng Zhong, Ji-Xiang Du:
Efficient Human Motion Transition via Hybrid Deep Neural Network and Reliable Motion Graph Mining. CCCV (1) 2017: 717-728 - 2015
- [j5]Shu-Juan Peng, Gao-Feng He, Xin Liu, Hua-zhen Wang:
Hierarchical block-based incomplete human mocap data recovery using adaptive nonnegative matrix factorization. Comput. Graph. 49: 10-23 (2015) - [j4]Bineng Zhong, Yingju Shen, Yan Chen, Weibo Xie, Zhen Cui, Hongbo Zhang, Duansheng Chen, Tian Wang, Xin Liu, Shu-Juan Peng, Jin Gou, Ji-Xiang Du, Jing Wang, Wenming Zheng:
Online learning 3D context for robust visual tracking. Neurocomputing 151: 710-718 (2015) - [c5]Gao-Feng He, Shu-Juan Peng, Xin Liu:
Motion Capture Behavior Recognition via Neighborhood Preserving Dictionary Learning. SMC 2015: 2725-2729 - 2014
- [j3]Xin Liu, Shu-Juan Peng, Yiu-ming Cheung, Yuan Yan Tang, Ji-Xiang Du:
Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation. IET Image Process. 8(12): 824-832 (2014) - [j2]Xin Liu, Yiu-ming Cheung, Shu-Juan Peng, Qinmu Peng:
Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours. Neurocomputing 144: 47-57 (2014) - [j1]Xin Liu, Yiu-ming Cheung, Shu-Juan Peng, Zhen Cui, Bineng Zhong, Ji-Xiang Du:
Automatic motion capture data denoising via filtered subspace clustering and low rank matrix approximation. Signal Process. 105: 350-362 (2014) - 2013
- [c4]Shu-Juan Peng, Xin Liu, Zhen Cui, Zhipeng Xie, Duansheng Chen:
Automatic Motion Capture Data Denoising via Filtered Local Subspace Affinity and Low Rank Approximation. CAD/Graphics 2013: 389-390 - 2012
- [c3]Shu-Juan Peng, Xin Liu, Yiu-ming Cheung:
Subspace based active contours with a joint distribution metric for semi-supervised natural image segmentation. ICASSP 2012: 1173-1176 - 2011
- [c2]Shu-Juan Peng, Xin Liu, Yiu-ming Cheung:
Active contours with a novel distribution metric for complex object segmentation. ICIP 2011: 3345-3348 - 2010
- [c1]Shu-Juan Peng:
Motion Segmentation Using Central Distance Features and Low-Pass Filter. CIS 2010: 223-226
Coauthor Index
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