学术论文

研究小组近年来发表的相关学术论文(部分)如下:

  • 全部论文
  • 异构特征融合及识别
  • 跨模态匹配
  • 图像处理和机器学习
  • 运动捕捉数据分析
  • X. Liu*, Y.M. Cheung, Z.K. Hu, Y. He, B.N. Zhong

    Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval[pdf] [bibtex]

    IIEEE Transactions on Emerging Topics in Computational Intelligence
    @ARTICLE{ATFH,
      author={X. {Liu} and Y. {Cheung} and Z. {Hu} and Y. {He} and B. {Zhong}},
      journal={IEEE Transactions on Emerging Topics in Computational Intelligence}, 
      title={Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval}, 
      year={2020},   pages={1-13},
      doi={10.1109/TETCI.2020.3007143}}
  • R. Wang, X. Liu, Y.M. Cheung, K. Cheng, N.N. Wang and W.T. Fan

    Learning Discriminative Joint Embeddings for Efficient Face and Voice Association[pdf] [bibtex]

    43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’20)
    R. Wang, X. Liu, Y.M. Cheung, K. Cheng, N.N. Wang and W.T. Fan, “Learning Discriminative Joint Embeddings for Efficient Face and Voice Association”, Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’20), July 25-30, 2020, in press. 
  • X. Wang, X. Liu*, S.J. Peng, B.N. Zhong, Y.W. Chen, J.X. Du

    Semi-supervised discrete hashing for efficient cross-modal retrieval[pdf] [bibtex]

    Multimedia Tools and Applications
    Wang, X., Liu, X., Peng, S. et al. Semi-supervised discrete hashing for efficient cross-modal retrieval. Multimed Tools Appl (2020). https://doi.org/10.1007/s11042-020-09195-9
  • X. Liu, Z.K. Hu, H.B. Ling, Y.M. Cheung

    MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval[pdf] [bibtex] [code]

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    @article{liuxinpami, 
    author={X. Liu and Z. Hu and H. Ling and Y.M. Cheung}, 
    journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
    title={MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval}, 
    year={2019}, 
    doi={10.1109/TPAMI.2019.2940446}, 
    }
  • X.Z. Wang, X. Liu*, Z.K. Hu, N.N. Wang, W.T. Fan, J.X. Du

    Semi-Supervised Semantic-Preserving Hashing for flexible cross-modal retrieval[pdf] [bibtex]

    IEEE International Conference on Multimedia and Expo (ICME),2019, pp. 1006-1011.
    @inproceedings{wang2019semi,
      title={Semi-Supervised Semantic-Preserving Hashing for flexible cross-modal retrieval},
      author={Wang, Xingzhi and Liu, Xin and  Hu, Zhikai  and Wang, Nannan and  Fan Wentao and Du, Jixiang},
      booktitle={Proceedings of the IEEE International Conference on Multimedia and Expo},
      pages={1006-1011},
      year={2019}
    }
  • X.Z. Wang, X. Liu*, S.J. Peng, Y.M. Cheung, Z.K. Hu and N.N. Wang

    Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval[pdf] [bibtex]

    IEEE International Conference on Data Mining (ICDM), 2019, pp. 1348-1353
    @inproceedings{Hu:2019:TFN:3323873.3325041,
     author = {Wang, Xingzhi and Liu, Xin and Shujuan, Peng and Cheung, Yiu-ming and Hu, Zhikai and Wang, Nannan},
     title = {Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval},
     booktitle = {Proceedings of IEEE International Conference on Data Mining},
     year = {2019},
     pages = {1348-1353},
    } 
    
  • Z.K. Hu, X. Liu*, X.Z. Wang, Y.M. Cheung, N.N. Wang, Y.W. Chen

    riplet Fusion Network Hashing for Unpaired Cross-Modal Retrieval[pdf] [bibtex] [code]

    International Conference on Multimedia Retrieval (ICMR), 2019 : 141-149
    @inproceedings{Hu:2019,
     author = {Hu, Zhikai and Liu, Xin and Wang, Xingzhi and Cheung, Yiu-ming and Wang, Nannan and Chen, Yewang},
     title = {Triplet Fusion Network Hashing for Unpaired Cross-Modal Retrieval},
     booktitle = {Proceedings of the 2019 on International Conference on Multimedia Retrieval},
     year = {2019},
     pages = {141--149}} 
    
  • X. Liu, A. Li, J.X. Du, S.J. Peng, W.T. Fan,

    Efficient Cross-modal Retrieval via Flexible Supervised Collective Matrix Factorization Hashing[pdf] [bibtex]

    Multimedia Tools and Applications, vol. 77, no. 21, pp. 28665–28683, 2018
    @Article{Liu2018,
    author="Liu, Xin and Li, An and Du, Ji-Xiang and Peng, Shu-Juan and Fan, Wentao",
    title="Efficient cross-modal retrieval via flexible supervised collective matrix factorization hashing",
    journal="Multimedia Tools and Applications",
    year="2018",
    volume="77",
    number="21",
    pages="28665--28683",
    }
  • X.Liu, J.J. Geng, H.B. Ling and Y.M. Cheung

    Attention guided deep audio-face fusion for efficient speaker naming[pdf] [bibtex]

    Pattern Recognition, vol.88, 557–568, 2019
    @article{LIU2019557,
    title = "Attention guided deep audio-face fusion for efficient speaker naming",
    journal = "Pattern Recognition",
    volume = "88",
    pages = "557 - 568",
    year = "2019",
    author = "Xin Liu and Jiajia Geng and Haibin Ling and Yiu-ming Cheung"}
  • W.T. Fan, N. Bouguila, J.X. Du, X. Liu

    Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions[pdf] [bibtex]

    IEEE Transactions on Neural Networks and Learning Systems
    @article{FanTNNLS,
      title={Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions},
      author={Wentao Fan and  Nizar Bouguila  and Ji-Xiang Du and Xin Liu},
      journal={IEEE Transactions on Neural Networks and Learning Systems},
     year={2018}
    }
  • 柳欣, 李鹤洋, 钟必能, 杜吉祥

    结合有监督联自编码器的跨音视频说话人标注[pdf] [bibtex]

    电子与信息学报,40 (7), pp. 1635-1642, 2018
    LIU Xin, LI Heyang, ZHONG Bineng, DU Jixiang. Efficient Audio-visual Cross-modal Speaker Tagging via Supervised Joint Correspondence Auto-encoder. JEIT, 2018, 40(7): 1635-1642. 
  • 胡 东, 彭淑娟*, 柳欣, 杜吉祥

    结合深度自编码和时空特征约束的运动风格转移方法[pdf] [bibtex]

    计算机辅助设计与图形学学报, 30 (5), pp. 946-956, 2018.
    胡东,彭淑娟*,柳欣,杜吉祥,结合深度自编码和时空特征约束的运动风格转移方法,计算机辅助设计与图形学学报, 30 (5), pp. 946-956, 2018. (EI, 核心)
  • X. Liu, Y.M. Cheung

    On incremental collaborative appearance model and regional particle filtering for lip region tracking[pdf] [bibtex]

    Integrated Computer-Aided Engineering , vol. 25, no. 1, pp. 63-80, 2018
    @article{liu2017incremental,
      title={On incremental collaborative appearance model and regional particle filtering for lip region tracking},
      author={Liu, Xin and Cheung, Yiu-Ming},
      journal={Integrated Computer-Aided Engineering},
      number={25:1},
      pages={63--80},
      year={2018}
      }
  • Z.K. Hu, X, Liu*, A. Li, B.N. Zhong, W.T. Fan, J.X. Du

    Efficient Cross-modal Retrieval via Discriminative Deep Correspondence[pdf] [bibtex]

    CCF Chinese Conference on Computer Vision (CCCV), 2017, pp. 662-673.
    @inproceedings{hu2017efficient,
      title={Efficient Cross-modal Retrieval via Discriminative Deep Correspondence Model},
      author={Hu, Zhikai and Liu, Xin and Li, An and Zhong, Bineng and Fan, Wentao and Du, Jixiang},
      booktitle={CCF Chinese Conference on Computer Vision},
      pages={662--673},
      year={2017},
      organization={Springer}
    }
  • B. Zou, X, Liu, S.J. Peng, B.N. Zhong, J.X. Du

    Efficient Human Motion Transition via Hybrid Deep Neural Network and Reliable Motion Graph Mining[pdf] [bibtex]

    CCF Chinese Conference on Computer Vision (CCCV), 2017, pp. 717-728.
    @inproceedings{zhou2017efficient,
      title={Efficient Human Motion Transition via Hybrid Deep Neural Network and Reliable Motion Graph Mining},
      author={Zhou, Bing and Liu, Xin and Peng, Shujuan and Zhong, Bineng and Du, Jixiang},
      booktitle={CCF Chinese Conference on Computer Vision},
      pages={717--728},
      year={2017},
      organization={Springer}
    }
  • D. Hu, X. Liu*, S.J. Peng, B.N. Zhong, J.X. Du

    Automatic Character Motion Style Transfer via Autoencoder Generative Model and Correlation Mining[pdf] [bibtex]

    Chinese Conference on Computer Vision (CCCV), 2017, pp. 705-716
    @inproceedings{hu2017automatic,
      title={Automatic Character Motion Style Transfer via Autoencoder Generative Model and Spatio-Temporal Correlation Mining},
      author={Hu, Dong and Liu, Xin and Peng, Shujuan and Zhong, Bineng and Du, Jixiang},
      booktitle={CCF Chinese Conference on Computer Vision},
      pages={705--716},
      year={2017},
      organization={Springer}
    }
  • 周兵,彭淑娟,柳欣

    融合生成模型和判别模型的双层 RBM 运动捕获数据语义识别算法[pdf] [bibtex]

    计算机辅助设计与图形学学报, 29(4), pp 689-698,2017. (EI, 核心)
    @article{zou2017,
      title={融合生成模型和判别模型的双层 RBM 运动捕获数据语义识别算法},
      author={周兵 and 彭淑娟 and 柳欣},
      journal={计算机辅助设计与图形学学报},
      volume={29},
      number={4},
      pages={689--698},
      year={2017}
    }
  • X. Liu*, H. Zhang, Y.M. Cheung, X.G. You, Y.Y. Tang

    Efficient Single Image Dehazing and Denosing: An Efficient Multi-scale Correlated Wavelet Approach[pdf] [bibtex] [code]

    Computer Vision and Image Understanding, vol. 162, pp, 22-33, 2017
    @article{liu2017efficient,
      title={Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach},
      author={Liu, Xin and Zhang, He and Cheung, Yiu-ming and You, Xinge and Tang, Yuan Yan},
      journal={Computer Vision and Image Understanding},
      volume={162},
      pages={23--33},
      year={2017},
      publisher={Elsevier}
    }
  • Yu-Hang Liu, Xin Liu*, Wentao Fan, Bineng Zhong, Ji-Xiang Du

    Efficient Audio-Visual Speaker Recognition via Deep Heterogeneous Feature Fusion[pdf] [bibtex]

    12th Chinese Conference on Biometric Recognition (CCBR), 2017: 575-583
    @inproceedings{liu2017efficient,
      title={Efficient Audio-Visual Speaker Recognition via Deep Heterogeneous Feature Fusion},
      author={Liu, Yu-Hang and Liu, Xin and Fan, Wentao and Zhong, Bineng and Du, Ji-Xiang},
      booktitle={Chinese Conference on Biometric Recognition},
      pages={575--583},
      year={2017},
      organization={Springer}
    }
  • J. Geng, X. Liu*, Y.M. Cheung

    Audio-visual Speaker Recognition via Multi-modal Correlated Neural Networks[pdf] [bibtex]

    IEEE/WIC/ACM International Conference on Web Intelligence Workshops, pp. 123-128, 2016
    @INPROCEEDINGS{Geng2016, 
    author={J. Geng and X. Liu and Y. m. Cheung}, 
    booktitle={IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WIW)}, 
    title={Audio-Visual Speaker Recognition via Multi-modal Correlated Neural Networks}, 
    year={2016}, 
    pages={123-128}, 
    }
  • X. Liu, Y.M. Cheung, Y.Y. Tang,

    Lip Event Detection Using Oriented Histograms of Regional Optical Flow and Low Rank Affinity Pursuit[pdf] [bibtex]

    Computer Vision and Image Understanding, vol. 148, no. 7, pp, 153-163, 2016.
    @article{LIU2016153,
    title = {Lip event detection using oriented histograms of regional optical flow and low rank affinity pursuit},
    author = {Xin Liu and Yiu-ming Cheung and Yuan Yan Tang},
    journal = {Computer Vision and Image Understanding},
    volume = {148},
    pages = {153 - 163},
    year = {2016},
    }
  • X. Liu, Y.M. Cheung

    Learning Multi-Boosted HMMs for Lip-password Based Speaker Verification[pdf] [bibtex]

    IEEE Transactions on Information Forensics and Security, vol. 9, no. 2, pp. 233-246, 2014
    @ARTICLE{xliu2014, 
    author={X. Liu and Y. m. Cheung}, 
    journal={IEEE Transactions on Information Forensics and Security}, 
    title={Learning Multi-Boosted HMMs for Lip-Password Based Speaker Verification}, 
    year={2014}, 
    volume={9}, 
    number={2}, 
    pages={233-246}, 
    }
  • W.T. Fan, N. Bouguila, X. Liu

    A Hierarchical DPM of GID Distributions with Feature Selection for Video Modeling and Segmentation[pdf] [bibtex]

    42th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1173-1176, 2017.
    @INPROCEEDINGS{7952661, 
    author={W. Fan and N. Bouguila and X. Liu}, 
    booktitle={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
    title={A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation}, 
    year={2017}, 
    pages={2771-2775}
    }
  • 赫高峰、彭淑娟、柳欣、钟必能

    结合模糊聚类和投影近似点算法的缺失人体运动捕捉数据重构[pdf] [bibtex]

    计算机辅助设计与图形学学报, 2015 , 27 ( 8 ): 1407-1415.
    赫高峰、彭淑娟、柳欣、钟必能,结合模糊聚类和投影近似点算法的缺失人体运动捕捉数据重构,计算机辅助设计与图形学学报,2015 , 27 ( 8 ): 1407-1415.  (EI检索, 中文核心期刊)
  • 彭淑娟,赫高峰,柳 欣,王华珍,钟必能

    基于运动分割和稀疏低秩分解的失真人体运动捕捉数据恢复[pdf] [bibtex]

    计算机辅助设计与图形学学报,2015,27(4):721-730
    彭淑娟,赫高峰,柳 欣,王华珍,钟必能 ,基于运动分割和稀疏低秩分解的失真人体运动捕捉数据恢复,计算机辅助设计与图形学学报,2015,27(4):721-730.  (EI检索, 中文核心期刊)
  • S.J. Peng, G..F. He, X. Liu*, H.Z. Wang

    Hierarchical block-based incomplete human mocap data recovery using adaptive nonnegative matrix factorization[pdf] [bibtex]

    Computers &Graphics, 49, pp:10–23, 2015.
    @article{peng2015hierarchical,
      title={Hierarchical block-based incomplete human mocap data recovery using adaptive nonnegative matrix factorization},
      author={Peng, Shu-Juan and He, Gao-Feng and Liu, Xin and Wang, Hua-Zhen},
      journal={Computers \& Graphics},
      volume={49},
      pages={10--23},
      year={2015}
    }
  • X. Liu, G.F. He, S.J. Peng, Y.M. Cheung, Y.Y. Tang

    Efficient Human Motion Retrieval via TA-BoW and Discriminative Neighborhood Preserving Dictionary Learning[pdf] [bibtex]

    IEEE Transactions on Human-Machine Systems, 2017, 47(6), pp, 763-776
    @article{liu2017efficient,
      title={Efficient human motion retrieval via temporal adjacent bag of words and discriminative neighborhood preserving dictionary learning},
      author={Liu, Xin and He, Gao-Feng and Peng, Shu-Juan and Cheung, Yiu-ming and Tang, Yuan Yan},
      journal={IEEE Transactions on Human-Machine Systems},
      volume={47},
      number={6},
      pages={763--776},
      year={2017}
    }
  • G.F. He, S.J. Peng, X. Liu*

    Motion Capture Behavior Recognition via Neighborhood Preserving Dictionary Learning[pdf] [bibtex]

    International Conference on Systems, Man, and Cybernetics (SMC), 2015, pp: 2725 - 2729
    @inproceedings{he2015motion,
      title={Motion Capture Behavior Recognition via Neighborhood Preserving Dictionary Learning},
      author={He, Gao-Feng and Peng, Shu-Juan and Liu, Xin},
      booktitle={Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on},
      pages={2725--2729},
      year={2015},
      organization={IEEE}
    }
  • 周兵,彭淑娟,柳欣

    融合生成模型和判别模型的双层 RBM 运动捕获数据语义识别算法[pdf] [bibtex]

    计算机辅助设计与图形学学报, 29(4), pp 689-698,2017
    周兵,彭淑娟,柳欣,融合生成模型和判别模型的双层 RBM 运动捕获数据语义识别算法,计算机辅助设计与图形学学报, 29(4), pp 689-698,2017. (EI, 核心)
  • H. Zhang, X. Liu*, Y.M. Cheung

    Efficient Single Image Dehazing via Scene-adaptive Segmentation and Improved Dark Channel Model[pdf] [bibtex]

    IEEE International Joint Conference on Neural Networks (IJCNN), pp. 3440-3445, 2016.
    @inproceedings{zhang2016efficient,
      title={Efficient single image dehazing via scene-adaptive segmentation and improved dark channel model},
      author={Zhang, He and Liu, Xin and Cheung, Yiu-ming},
      booktitle={2016 International Joint Conference on Neural Networks (IJCNN)},
      pages={3440--3445},
      year={2016},
      organization={IEEE}
    }
  • X. Liu*, H. Zhang, Y.Y. Tang, J.X. Du

    Scene-adaptive Single Image Dehazing via Opening Dark Channel Model[pdf] [bibtex]

    IET image processing, vol. 10, no. 11, pp, 877-884, 2016.
    @ARTICLE{xliu7747329, 
    author={X. Liu and H. Zhang and Y. Y. Tang and J. X. Du}, 
    journal={IET Image Processing}, 
    title={Scene-adaptive single image dehazing via opening dark channel model}, 
    year={2016}, 
    volume={10}, 
    number={11}, 
    pages={877-884} 
    }
    
  • X.Liu, J.J. Geng, H.B. Ling and Y.M. Cheung

    Attention guided deep audio-face fusion for efficient speaker naming [pdf] [bibtex]

    Pattern Recognition, vol.88, 557–568, 2019
    @article{LIU2019557,
    title = "Attention guided deep audio-face fusion for efficient speaker naming",
    journal = "Pattern Recognition",
    volume = "88",
    pages = "557 - 568",
    year = "2019",
    author = "Xin Liu and Jiajia Geng and Haibin Ling and Yiu-ming Cheung"}
  • Yu-Hang Liu, Xin Liu*, Wentao Fan, Bineng Zhong, Ji-Xiang Du

    Efficient Audio-Visual Speaker Recognition via Deep Heterogeneous Feature Fusion [pdf] [bibtex]

    12th Chinese Conference on Biometric Recognition (CCBR), 2017: 575-583
    @inproceedings{liu2017efficient,
      title={Efficient Audio-Visual Speaker Recognition via Deep Heterogeneous Feature Fusion},
      author={Liu, Yu-Hang and Liu, Xin and Fan, Wentao and Zhong, Bineng and Du, Ji-Xiang},
      booktitle={Chinese Conference on Biometric Recognition},
      pages={575--583},
      year={2017},
      organization={Springer}
    }
  • J. Geng, X. Liu*, Y.M. Cheung

    Audio-visual Speaker Recognition via Multi-modal Correlated Neural Networks [pdf] [bibtex]

    IEEE/WIC/ACM International Conference on Web Intelligence Workshops, pp. 123-128, 2016
    @INPROCEEDINGS{Geng2016, 
    author={J. Geng and X. Liu and Y. m. Cheung}, 
    booktitle={IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WIW)}, 
    title={Audio-Visual Speaker Recognition via Multi-modal Correlated Neural Networks}, 
    year={2016}, 
    pages={123-128}, 
    }
  • X. Liu, Y.M. Cheung, Y.Y. Tang,

    Lip Event Detection Using Oriented Histograms of Regional Optical Flow and Low Rank Affinity Pursuit [pdf] [bibtex]

    Computer Vision and Image Understanding, vol. 148, no. 7, pp, 153-163, 2016.
    @article{LIU2016153,
    title = {Lip event detection using oriented histograms of regional optical flow and low rank affinity pursuit},
    author = {Xin Liu and Yiu-ming Cheung and Yuan Yan Tang},
    journal = {Computer Vision and Image Understanding},
    volume = {148},
    pages = {153 - 163},
    year = {2016},
    }
  • X. Liu, Y.M. Cheung

    Learning Multi-Boosted HMMs for Lip-password Based Speaker Verification [pdf] [bibtex]

    IEEE Transactions on Information Forensics and Security, vol. 9, no. 2, pp. 233-246, 2014
    @ARTICLE{xliu2014, 
    author={X. Liu and Y. m. Cheung}, 
    journal={IEEE Transactions on Information Forensics and Security}, 
    title={Learning Multi-Boosted HMMs for Lip-Password Based Speaker Verification}, 
    year={2014}, 
    volume={9}, 
    number={2}, 
    pages={233-246}, 
    }
  • X. Liu*, Y.M. Cheung, Z.K. Hu, Y. He, B.N. Zhong

    Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval [pdf] [bibtex]

    IIEEE Transactions on Emerging Topics in Computational Intelligence
    @ARTICLE{ATFH,
      author={X. {Liu} and Y. {Cheung} and Z. {Hu} and Y. {He} and B. {Zhong}},
      journal={IEEE Transactions on Emerging Topics in Computational Intelligence}, 
      title={Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval}, 
      year={2020},   pages={1-13},
      doi={10.1109/TETCI.2020.3007143}}
  • R. Wang, X. Liu, Y.M. Cheung, K. Cheng, N.N. Wang and W.T. Fan

    Learning Discriminative Joint Embeddings for Efficient Face and Voice Association [pdf] [bibtex]

    43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’20)
    R. Wang, X. Liu, Y.M. Cheung, K. Cheng, N.N. Wang and W.T. Fan, “Learning Discriminative Joint Embeddings for Efficient Face and Voice Association”, Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’20), July 25-30, 2020, in press. 
  • X. Wang, X. Liu*, S.J. Peng, B.N. Zhong, Y.W. Chen, J.X. Du

    Semi-supervised discrete hashing for efficient cross-modal retrieval [pdf] [bibtex]

    Multimedia Tools and Applications
    Wang, X., Liu, X., Peng, S. et al. Semi-supervised discrete hashing for efficient cross-modal retrieval. Multimed Tools Appl (2020). https://doi.org/10.1007/s11042-020-09195-9
  • X. Liu, Z.K. Hu, H.B. Ling, Y.M. Cheung

    MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval [pdf] [code] [bibtex]

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    @article{liuxinpami, 
    author={X. Liu and Z. Hu and H. Ling and Y.M. Cheung}, 
    journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
    title={MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval}, 
    year={2019}, 
    doi={10.1109/TPAMI.2019.2940446}, 
    }
  • X.Z. Wang, X. Liu*, Z.K. Hu, N.N. Wang, W.T. Fan, J.X. Du

    Semi-Supervised Semantic-Preserving Hashing for flexible cross-modal retrieval [pdf] [bibtex]

    IEEE International Conference on Multimedia and Expo (ICME),2019, pp. 1006-1011.
    @inproceedings{wang2019semi,
      title={Semi-Supervised Semantic-Preserving Hashing for flexible cross-modal retrieval},
      author={Wang, Xingzhi and Liu, Xin and  Hu, Zhikai  and Wang, Nannan and  Fan Wentao and Du, Jixiang},
      booktitle={Proceedings of the IEEE International Conference on Multimedia and Expo},
      pages={1006-1011},
      year={2019}
    }
  • X.Z. Wang, X. Liu*, S.J. Peng, Y.M. Cheung, Z.K. Hu and N.N. Wang

    Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval [pdf] [bibtex]

    IEEE International Conference on Data Mining (ICDM), 2019, pp. 1348-1353
    @inproceedings{Hu:2019:TFN:3323873.3325041,
     author = {Wang, Xingzhi and Liu, Xin and Shujuan, Peng and Cheung, Yiu-ming and Hu, Zhikai and Wang, Nannan},
     title = {Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval},
     booktitle = {Proceedings of IEEE International Conference on Data Mining},
     year = {2019},
     pages = {1348-1353},
    } 
    
  • Z.K. Hu, X. Liu*, X.Z. Wang, Y.M. Cheung, N.N. Wang, Y.W. Chen

    riplet Fusion Network Hashing for Unpaired Cross-Modal Retrieval [pdf] [code] [bibtex]

    International Conference on Multimedia Retrieval (ICMR), 2019 : 141-149
    @inproceedings{Hu:2019,
     author = {Hu, Zhikai and Liu, Xin and Wang, Xingzhi and Cheung, Yiu-ming and Wang, Nannan and Chen, Yewang},
     title = {Triplet Fusion Network Hashing for Unpaired Cross-Modal Retrieval},
     booktitle = {Proceedings of the 2019 on International Conference on Multimedia Retrieval},
     year = {2019},
     pages = {141--149}} 
    
  • X. Liu, A. Li, J.X. Du, S.J. Peng, W.T. Fan,

    Efficient Cross-modal Retrieval via Flexible Supervised Collective Matrix Factorization Hashing [pdf] [bibtex]

    Multimedia Tools and Applications, vol. 77, no. 21, pp. 28665–28683, 2018
    @Article{Liu2018,
    author="Liu, Xin and Li, An and Du, Ji-Xiang and Peng, Shu-Juan and Fan, Wentao",
    title="Efficient cross-modal retrieval via flexible supervised collective matrix factorization hashing",
    journal="Multimedia Tools and Applications",
    year="2018",
    volume="77",
    number="21",
    pages="28665--28683",
    }
  • 柳欣, 李鹤洋, 钟必能, 杜吉祥

    结合有监督联自编码器的跨音视频说话人标注 [pdf] [bibtex]

    电子与信息学报,40 (7), pp. 1635-1642, 2018
    LIU Xin, LI Heyang, ZHONG Bineng, DU Jixiang. Efficient Audio-visual Cross-modal Speaker Tagging via Supervised Joint Correspondence Auto-encoder. JEIT, 2018, 40(7): 1635-1642. 
  • Z.K. Hu, X, Liu*, A. Li, B.N. Zhong, W.T. Fan, J.X. Du

    Efficient Cross-modal Retrieval via Discriminative Deep Correspondence [pdf] [bibtex]

    CCF Chinese Conference on Computer Vision (CCCV), 2017, pp. 662-673.
    @inproceedings{hu2017efficient,
      title={Efficient Cross-modal Retrieval via Discriminative Deep Correspondence Model},
      author={Hu, Zhikai and Liu, Xin and Li, An and Zhong, Bineng and Fan, Wentao and Du, Jixiang},
      booktitle={CCF Chinese Conference on Computer Vision},
      pages={662--673},
      year={2017},
      organization={Springer}
    }
  • W.T. Fan, N. Bouguila, J.X. Du, X. Liu

    Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions [pdf] [bibtex]

    IEEE Transactions on Neural Networks and Learning Systems
    @article{FanTNNLS,
      title={Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions},
      author={Wentao Fan and  Nizar Bouguila  and Ji-Xiang Du and Xin Liu},
      journal={IEEE Transactions on Neural Networks and Learning Systems},
     year={2018}
    }
  • X. Liu, Y.M. Cheung

    On incremental collaborative appearance model and regional particle filtering for lip region tracking [pdf] [bibtex]

    Integrated Computer-Aided Engineering , vol. 25, no. 1, pp. 63-80, 2018
    @article{liu2017incremental,
      title={On incremental collaborative appearance model and regional particle filtering for lip region tracking},
      author={Liu, Xin and Cheung, Yiu-Ming},
      journal={Integrated Computer-Aided Engineering},
      number={25:1},
      pages={63--80},
      year={2018}
      }
  • X. Liu*, H. Zhang, Y.M. Cheung, X.G. You, Y.Y. Tang

    Efficient Single Image Dehazing and Denosing: An Efficient Multi-scale Correlated Wavelet Approach [pdf] [code] [bibtex]

    Computer Vision and Image Understanding, vol. 162, pp, 22-33, 2017
    @article{liu2017efficient,
      title={Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach},
      author={Liu, Xin and Zhang, He and Cheung, Yiu-ming and You, Xinge and Tang, Yuan Yan},
      journal={Computer Vision and Image Understanding},
      volume={162},
      pages={23--33},
      year={2017},
      publisher={Elsevier}
    }
  • W.T. Fan, N. Bouguila, X. Liu

    A Hierarchical DPM of GID Distributions with Feature Selection for Video Modeling and Segmentation [pdf] [bibtex]

    42th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1173-1176, 2017.
    @INPROCEEDINGS{7952661, 
    author={W. Fan and N. Bouguila and X. Liu}, 
    booktitle={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
    title={A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation}, 
    year={2017}, 
    pages={2771-2775}
    }
  • H. Zhang, X. Liu*, Y.M. Cheung

    Efficient Single Image Dehazing via Scene-adaptive Segmentation and Improved Dark Channel Model [pdf] [bibtex]

    IEEE International Joint Conference on Neural Networks (IJCNN), pp. 3440-3445, 2016.
    @inproceedings{zhang2016efficient,
      title={Efficient single image dehazing via scene-adaptive segmentation and improved dark channel model},
      author={Zhang, He and Liu, Xin and Cheung, Yiu-ming},
      booktitle={2016 International Joint Conference on Neural Networks (IJCNN)},
      pages={3440--3445},
      year={2016},
      organization={IEEE}
    }
  • X. Liu*, H. Zhang, Y.Y. Tang, J.X. Du

    Scene-adaptive Single Image Dehazing via Opening Dark Channel Model [pdf] [bibtex]

    IET image processing, vol. 10, no. 11, pp, 877-884, 2016.
    @ARTICLE{xliu7747329, 
    author={X. Liu and H. Zhang and Y. Y. Tang and J. X. Du}, 
    journal={IET Image Processing}, 
    title={Scene-adaptive single image dehazing via opening dark channel model}, 
    year={2016}, 
    volume={10}, 
    number={11}, 
    pages={877-884} 
    }
    
  • 胡 东, 彭淑娟*, 柳欣, 杜吉祥

    结合深度自编码和时空特征约束的运动风格转移方法 [pdf] [bibtex]

    计算机辅助设计与图形学学报, 30 (5), pp. 946-956, 2018.
    胡东,彭淑娟*,柳欣,杜吉祥,结合深度自编码和时空特征约束的运动风格转移方法,计算机辅助设计与图形学学报, 30 (5), pp. 946-956, 2018. (EI, 核心)
  • B. Zou, X, Liu, S.J. Peng, B.N. Zhong, J.X. Du

    Efficient Human Motion Transition via Hybrid Deep Neural Network and Reliable Motion Graph Mining [pdf] [bibtex]

    CCF Chinese Conference on Computer Vision (CCCV), 2017, pp. 717-728.
    @inproceedings{zhou2017efficient,
      title={Efficient Human Motion Transition via Hybrid Deep Neural Network and Reliable Motion Graph Mining},
      author={Zhou, Bing and Liu, Xin and Peng, Shujuan and Zhong, Bineng and Du, Jixiang},
      booktitle={CCF Chinese Conference on Computer Vision},
      pages={717--728},
      year={2017},
      organization={Springer}
    }
  • D. Hu, X. Liu*, S.J. Peng, B.N. Zhong, J.X. Du

    Automatic Character Motion Style Transfer via Autoencoder Generative Model and Correlation Mining [pdf] [bibtex]

    Chinese Conference on Computer Vision (CCCV), 2017, pp. 705-716
    @inproceedings{hu2017automatic,
      title={Automatic Character Motion Style Transfer via Autoencoder Generative Model and Spatio-Temporal Correlation Mining},
      author={Hu, Dong and Liu, Xin and Peng, Shujuan and Zhong, Bineng and Du, Jixiang},
      booktitle={CCF Chinese Conference on Computer Vision},
      pages={705--716},
      year={2017},
      organization={Springer}
    }
  • 周兵,彭淑娟,柳欣

    融合生成模型和判别模型的双层 RBM 运动捕获数据语义识别算法 [pdf] [bibtex]

    计算机辅助设计与图形学学报, 29(4), pp 689-698,2017. (EI, 核心)
    @article{zou2017,
      title={融合生成模型和判别模型的双层 RBM 运动捕获数据语义识别算法},
      author={周兵 and 彭淑娟 and 柳欣},
      journal={计算机辅助设计与图形学学报},
      volume={29},
      number={4},
      pages={689--698},
      year={2017}
    }
  • 赫高峰、彭淑娟、柳欣、钟必能

    结合模糊聚类和投影近似点算法的缺失人体运动捕捉数据重构 [pdf] [bibtex]

    计算机辅助设计与图形学学报, 2015 , 27 ( 8 ): 1407-1415.
    赫高峰、彭淑娟、柳欣、钟必能,结合模糊聚类和投影近似点算法的缺失人体运动捕捉数据重构,计算机辅助设计与图形学学报,2015 , 27 ( 8 ): 1407-1415.  (EI检索, 中文核心期刊)
  • 彭淑娟,赫高峰,柳 欣,王华珍,钟必能

    基于运动分割和稀疏低秩分解的失真人体运动捕捉数据恢复 [pdf] [bibtex]

    计算机辅助设计与图形学学报,2015,27(4):721-730
    彭淑娟,赫高峰,柳 欣,王华珍,钟必能 ,基于运动分割和稀疏低秩分解的失真人体运动捕捉数据恢复,计算机辅助设计与图形学学报,2015,27(4):721-730.  (EI检索, 中文核心期刊)
  • S.J. Peng, G..F. He, X. Liu*, H.Z. Wang

    Hierarchical block-based incomplete human mocap data recovery using adaptive nonnegative matrix factorization [pdf] [bibtex]

    Computers &Graphics, 49, pp:10–23, 2015.
    @article{peng2015hierarchical,
      title={Hierarchical block-based incomplete human mocap data recovery using adaptive nonnegative matrix factorization},
      author={Peng, Shu-Juan and He, Gao-Feng and Liu, Xin and Wang, Hua-Zhen},
      journal={Computers \& Graphics},
      volume={49},
      pages={10--23},
      year={2015}
    }
  • X. Liu, G.F. He, S.J. Peng, Y.M. Cheung, Y.Y. Tang

    Efficient Human Motion Retrieval via TA-BoW and Discriminative Neighborhood Preserving Dictionary Learning [pdf] [bibtex]

    IEEE Transactions on Human-Machine Systems, 2017, 47(6), pp, 763-776
    @article{liu2017efficient,
      title={Efficient human motion retrieval via temporal adjacent bag of words and discriminative neighborhood preserving dictionary learning},
      author={Liu, Xin and He, Gao-Feng and Peng, Shu-Juan and Cheung, Yiu-ming and Tang, Yuan Yan},
      journal={IEEE Transactions on Human-Machine Systems},
      volume={47},
      number={6},
      pages={763--776},
      year={2017}
    }
  • G.F. He, S.J. Peng, X. Liu*

    Motion Capture Behavior Recognition via Neighborhood Preserving Dictionary Learning [pdf] [bibtex]

    International Conference on Systems, Man, and Cybernetics (SMC), 2015, pp: 2725 - 2729
    @inproceedings{he2015motion,
      title={Motion Capture Behavior Recognition via Neighborhood Preserving Dictionary Learning},
      author={He, Gao-Feng and Peng, Shu-Juan and Liu, Xin},
      booktitle={Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on},
      pages={2725--2729},
      year={2015},
      organization={IEEE}
    }
  • 周兵,彭淑娟,柳欣

    融合生成模型和判别模型的双层 RBM 运动捕获数据语义识别算法 [pdf] [bibtex]

    计算机辅助设计与图形学学报, 29(4), pp 689-698,2017
    周兵,彭淑娟,柳欣,融合生成模型和判别模型的双层 RBM 运动捕获数据语义识别算法,计算机辅助设计与图形学学报, 29(4), pp 689-698,2017. (EI, 核心)