Skip to menu Skip to content Skip to footer

2019

Journal Article

Scalable supervised asymmetric hashing with semantic and latent factor embedding

Zhang, Zheng, Lai, Zhihui, Huang, Zi, Wong, Wai Keung, Xie, Guo-Sen, Liu, Li and Shao, Ling (2019). Scalable supervised asymmetric hashing with semantic and latent factor embedding. IEEE Transactions on Image Processing, 28 (10) 8709760, 4803-4818. doi: 10.1109/tip.2019.2912290

Scalable supervised asymmetric hashing with semantic and latent factor embedding

2019

Journal Article

Discrete hashing with multiple supervision

Luo, Xin, Zhang, Peng-Fei, Huang, Zi, Nie, Liqiang and Xu, Xin-Shun (2019). Discrete hashing with multiple supervision. IEEE Transactions on Image Processing, 28 (6) 8610117, 2962-2975. doi: 10.1109/tip.2019.2892703

Discrete hashing with multiple supervision

2019

Journal Article

Embedding and predicting the event at early stage

Liu, Zhiwei, Yang, Yang, Huang, Zi, Shen, Fumin, Zhang, Dongxiang and Shen, Heng Tao (2019). Embedding and predicting the event at early stage. World Wide Web, 22 (3), 1055-1074. doi: 10.1007/s11280-018-0545-6

Embedding and predicting the event at early stage

2019

Journal Article

Bidirectional discrete matrix factorization hashing for image search

He, Shiyuan, Wang, Bokun, Wang, Zheng, Yang, Yang, Shen, Fumin, Huang, Zi and Shen, Heng Tao (2019). Bidirectional discrete matrix factorization hashing for image search. IEEE Transactions on Cybernetics, 50 (9) 8863122, 1-12. doi: 10.1109/tcyb.2019.2941284

Bidirectional discrete matrix factorization hashing for image search

2018

Journal Article

Learning Discrete Hashing Towards Efficient Fashion Recommendation

Liu, Luyao, Du, Xingzhong, Zhu, Lei, Shen, Fumin and Huang, Zi (2018). Learning Discrete Hashing Towards Efficient Fashion Recommendation. Data Science and Engineering, 3 (4), 307-322. doi: 10.1007/s41019-018-0079-z

Learning Discrete Hashing Towards Efficient Fashion Recommendation

2018

Journal Article

Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval

Zhu, Lei, Huang, Zi, Li, Zhihui, Xie, Liang and Shen, Heng Tao (2018). Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval. IEEE Transactions on Neural Networks and Learning Systems, 29 (11) 8291840, 5264-5276. doi: 10.1109/TNNLS.2018.2797248

Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval

2018

Journal Article

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system

Yin, Hongzhi, Wang, Weiqing, Chen, Liang, Du, Xingzhong, Hung Nguyen, Quoc Viet and Huang, Zi (2018). Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. Knowledge-Based Systems, 157, 68-80. doi: 10.1016/j.knosys.2018.05.028

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system

2018

Journal Article

Heterogeneous domain adaptation through progressive alignment

Li, Jingjing, Lu, Ke, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2018). Heterogeneous domain adaptation through progressive alignment. IEEE Transactions on Neural Networks and Learning Systems, 30 (5) 8475006, 1-11. doi: 10.1109/TNNLS.2018.2868854

Heterogeneous domain adaptation through progressive alignment

2018

Journal Article

Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information

Yang, Yang, Duan, Yaqian, Wang, Xinze, Huang, Zi, Xie, Ning and Shen, Heng Tao (2018). Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information. IEEE Transactions on Knowledge and Data Engineering, 31 (4) 8370064, 1-1. doi: 10.1109/TKDE.2018.2842190

Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information

2018

Journal Article

Transfer independently together: a generalized framework for domain adaptation

Li, Jingjing, Lu, Ke, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2018). Transfer independently together: a generalized framework for domain adaptation. IEEE Transactions on Cybernetics, 49 (6) 8337102, 1-12. doi: 10.1109/TCYB.2018.2820174

Transfer independently together: a generalized framework for domain adaptation

2018

Journal Article

Unsupervised deep hashing with similarity-adaptive and discrete optimization

Shen, Fumin, Xu, Yan, Liu, Li, Yang, Yang, Huang, Zi and Shen, Heng Tao (2018). Unsupervised deep hashing with similarity-adaptive and discrete optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40 (12) 8247210, 1-1. doi: 10.1109/TPAMI.2018.2789887

Unsupervised deep hashing with similarity-adaptive and discrete optimization

2018

Journal Article

Deep-sea organisms tracking using dehazing and deep learning

Lu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi and Kim, Hyoungseop (2018). Deep-sea organisms tracking using dehazing and deep learning. Mobile Networks and Applications, 25 (3), 1008-1015. doi: 10.1007/s11036-018-1117-9

Deep-sea organisms tracking using dehazing and deep learning

2017

Journal Article

Exploiting detected visual objects for frame-level video filtering

Du, Xingzhong, Yin, Hongzhi, Huang, Zi, Yang, Yi and Zhou, Xiaofang (2017). Exploiting detected visual objects for frame-level video filtering. World Wide Web, 21 (5), 1-26. doi: 10.1007/s11280-017-0505-6

Exploiting detected visual objects for frame-level video filtering

2017

Journal Article

Guest Editorial: Knowledge-Based Multimedia Computing

Li, Liang, Huang, Zi, Zha, Zheng-Jun and Jiang, Shuqiang (2017). Guest Editorial: Knowledge-Based Multimedia Computing. Multimedia Tools and Applications, 76 (23), 24955-24959. doi: 10.1007/s11042-017-5212-x

Guest Editorial: Knowledge-Based Multimedia Computing

2017

Journal Article

Bilinear optimized product quantization for scalable visual content analysis

Yu, Litao, Huang, Zi, Shen, Fumin, Song, Jingkuan, Shen, Heng Tao and Zhou, Xiaofang (2017). Bilinear optimized product quantization for scalable visual content analysis. IEEE Transactions On Image Processing, 26 (10) 7964737, 5057-5069. doi: 10.1109/TIP.2017.2722224

Bilinear optimized product quantization for scalable visual content analysis

2017

Journal Article

Discrete Multimodal Hashing with Canonical Views for Robust Mobile Landmark Search

Zhu, Lei, Huang, Zi, Liu, Xiaobai, He, Xiangnan, Sun, Jiande and Zhou, Xiaofang (2017). Discrete Multimodal Hashing with Canonical Views for Robust Mobile Landmark Search. IEEE Transactions on Multimedia, 19 (9) 7984879, 2066-2079. doi: 10.1109/TMM.2017.2729025

Discrete Multimodal Hashing with Canonical Views for Robust Mobile Landmark Search

2017

Journal Article

Discrete nonnegative spectral clustering

Yang, Yang, Shen, Fumin, Huang, Zi, Shen, Heng Tao and Li, Xuelong (2017). Discrete nonnegative spectral clustering. IEEE Transactions On Knowledge and Data Engineering, 29 (9) 7920371, 1834-1845. doi: 10.1109/TKDE.2017.2701825

Discrete nonnegative spectral clustering

2017

Journal Article

Fast parallel path concatenation for graph extraction

Shao, Yingxia, Lei, Kai , Chen, Lei, Huang, Zi, Cui, Bin, Liu, Zhongyi, Tong, Yunhai and Xu, Jin (2017). Fast parallel path concatenation for graph extraction. IEEE Transactions on Knowledge & Data Engineering, 29 (10) 7953521, 2210-2222. doi: 10.1109/TKDE.2017.2716939

Fast parallel path concatenation for graph extraction

2017

Journal Article

Hierarchical latent concept discovery for video event detection

Li, Chao, Huang, Zi, Yang, Yang, Cao, Jiewei, Sun, Xiaoshuai and Shen, Heng Tao (2017). Hierarchical latent concept discovery for video event detection. IEEE Transactions on Image Processing, 26 (5) 7858791, 2149-2162. doi: 10.1109/TIP.2017.2670782

Hierarchical latent concept discovery for video event detection

2017

Journal Article

Robust discrete code modeling for supervised hashing

Luo, Yadan, Yang, Yang, Shen, Fumin, Huang, Zi, Zhou, Pan and Shen, Heng Tao (2017). Robust discrete code modeling for supervised hashing. Pattern Recognition, 75, 128-135. doi: 10.1016/j.patcog.2017.02.034

Robust discrete code modeling for supervised hashing