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[1]
Xiao-Qian Liu,
Xue-Ying Ding, Xin Luo, Xin-Shun Xu. Unsupervised Domain Adaptation
via Class Aggregation for Text Recognition. IEEE
Transactions on Circuits and Systems for Video Technology, 2023.
(Accepted)
[2]
Tian-Zi Niu,
Shan-Shan Dong, Zhen-Duo Chen, Xin Luo, Shanqing Guo, Xin-Shun Xu.
Semantic Enhanced Video Captioning with Multi-feature Fusion. ACM
Transactions on Multimedia Computing Communications and
Applications, 2023. (Accepted)
[3]
Tian-Zi Niu,
Zhen-Duo Chen, Xin Luo, Peng-Fei Zhang, Zi Huang, and Xin-Shun Xu.
Video Captioning by Learning from Global Sentence and Looking Ahead.
ACM Transactions on Multimedia Computing Communications and
Applications, 2023. (Accepted)
[4]
Xue-Ying Ding,
Xiao-Qian Liu, Xin Luo, Xin-Shun Xu. DOC: Text Recognition via Dual
Adaptation and Clustering. IEEE Transactions on Multimedia, 2023.
(Accepted)
[5]
Tian-Zi Niu,
Shan-Shan Dong, Zhen-Duo Chen, Xin luo, Zi Huang, Shanqing Guo,
Xin-Shun Xu. A Multi-layer Memory Sharing Network for Video
Captioning. Pattern Recognition, 2022. (Accepted)
[6]
Jie-Ru Tian,
Yongxin Wang, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu. Diagnose Like
Doctors: Weakly-Supervised Fine-Grained Classification of Breast
Cancer. ACM Transactions on Intelligent Systems and Technology,
2022. (Accepted)
[7]
Yongxin Wang, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu. A
High-Dimensional Sparse Hashing Framework for Cross-Modal Retrieval.
IEEE Transactions on Circuits and Systems for Video Technology,
2022.
[8]
Shan-Shan Dong,
Tian-Zi Niu, Xin Luo, Wu Liu, Xin-Shun Xu. Semantic Embedding Guided
Attention with Explicit Visual-feature Fusion for Video Captioning.
ACM Transactions on Multimedia Computing Communications and
Applications, 2022. (Accepted)
[9]
Peng-Fei Zhang,
Zi Huang, Guangdong Bai, Xin-Shun Xu. IDEAL: High-Order-Ensemble
Adaptation Network for Learning with Noisy Labels. ACM International
Conference on Multimedia (MM), 2022.
[10]
Peng-Fei Zhang,
Guangdong Bai, Zi Huang, Xin-Shun Xu. Machine Unlearning for Image
Retrieval: A Generative Scrubbing Approach. ACM International
Conference on Multimedia (MM), 2022.
[11]
Xinyu Liu, Xiaoqian Liu, Bin Wang, Xin Luo and Xin-Shun Xu.
Arbitrary-shaped scene text detection with scoring mask quality.
IEEE International Conference on Multimedia & Expo (ICME), 2022.
[12]
Zhen-Duo Chen, Xin Luo, Yongxin Wang, Shanqing Guo and Xin-Shun Xu.
Fine-grained hashing with double filtering. IEEE Transactions on
Image Processing, 2022.
[13]
Peng-Fei Zhang, Yang Li, Zi Huang and Xin-Shun Xu. Aggregation-based
graph convolutional hashing for unsupervised cross-modal retrieval.
IEEE Transactions on Multimedia, 2022.
[14]
Yu-Wei Zhan, Yongxin Wang, Yu Sun, Xiao-Ming Wu, Xin Luo and
Xin-Shun Xu. Discrete online cross-modal hashing. Pattern
Recognition, 2022.
[15]
Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen and
Xin-Shun Xu. Online enhanced semantic hashing: Towards effective and
efficient retrieval for streaming multi-modal data, AAAI Conference
on Artificial Intelligence (AAAI), 2022.
[16]
Yongxin Wang, Jie-Ru Tian, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu.
Label enhancement discrete cross-modal hashing method. Journal of
Software, 2022. (Accepted, in Chinese)
[17]
Yan
Wang, Yu-Wei Zhan, Xin Luo, Meng Liu, and Xin-Shun Xu. Survey on
video moment retrieval. Journal of Software, 2022. (Accepted, in
Chinese)
[18]
Chen-Lu Ding, Xin Luo, Xiao-Ming Wu, Yu-Wei Zhan, Rui Li, Hui Zhang,
and Xin-Shun Xu. Weakly-Supervised Online Hashing with Refined
Pseudo Tags. ACM International Conference on Information and
Knowledge Management (CIKM), 2022.
[19]
Yongxin Wang, Zhen-Duo Chen, Xin Luo, Rui Li and Xin-Shun Xu. Fast
cross-modal hashing with global and local similarity embedding. IEEE
Transactions on Cybernetics, 2021.
[20]
Yu-Wei Zhan, Xin Luo, Yu Sun, Yongxin Wang, Zhen-Duo Chen and
Xin-Shun Xu. Weakly-supervised online hashing. IEEE International
Conference on Multimedia & Expo (ICME), 2021.
[21]
Hong-Lei Yao, Yu-Wei Zhan, Zhen-Duo Chen, Xin Luo and Xin-Shun Xu.
TEACH: Attention-aware deep cross-modal hashing. ACM International
Conference on Multimedia Retrieval (ICMR), 2021.
[22]
Hui-Qiong Li, Yongxin Wang, Zhen-Duo Chen, Xin Luo and Xin-Shun Xu.
Ranking-based supervised discrete cross-modal hashing. Chinese
Journal of Computers, 2021. (In Chinese)
[23]
Peng-Fei Zhang, Yadan Luo, Zi Huang, Xin-Shun Xu and Jingkuan Song.
High-order nonlocal hashing for unsupervised cross-modal retrieval.
World Wide Web, 2021.
[24]
Peng-Fei Zhang, Zi Huang and Xin-Shun Xu. Proactive
privacy-preserving learning for retrieval. AAAI Conference on
Artificial Intelligence (AAAI), 2021.
[25]
Yongxin Wang, Zhen-Duo Chen, Xin Luo and Xin-Shun Xu.
High-dimensional sparse cross-modal hashing with fine-grained
similarity embedding. International World Wide Web Conference
(WWW), 2021.
[26]
Yongxin Wang, Xin Luo, Liqiang Nie, Jingkuan Song, Wei Zhang and
Xin-Shun Xu. BATCH: A scalable asymmetric discrete cross-modal
hashing. IEEE Transactions on Knowledge and Data Engineering, 2020.
[27]
Xianjing Han, Xuemeng Song, Yiyang Yao, Xin-Shun Xu and Liqiang Nie.
Neural compatibility modeling with probabilistic knowledge
distillation. IEEE Transactions on Image Processing, 2020.
[28]
Yongxin Wang, Xin Luo and Xin-Shun Xu. Label embedding online
hashing for cross-modal retrieval. ACM International Conference on
Multimedia (MM), 2020.
[29]
Yu-Wei Zhan, Xin Luo, Yongxin Wang and Xin-Shun Xu. Supervised
hierarchical deep hashing for cross-modal retrieval. ACM
International Conference on Multimedia (MM), 2020.
[30]
Zhen-Duo Chen, Chuan-Xiang Li, Xin Luo, Liqiang Nie, Wei Zhang and
Xin-Shun Xu. SCRATCH: A scalable discrete matrix factorization
hashing framework for cross-modal retrieval. IEEE Transactions on
Circuits and Systems for Video Technology, 2020.
[31]
Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie and
Xin-Shun Xu. A two-step cross-modal hashing by exploiting label
correlations and preserving similarity in both steps. ACM
International Conference on Multimedia (MM), 2019.
[32]
Xuemeng Song, Xianjing Han, Yunkai Li, Jingyuan Chen, Xin-Shun Xu
and Liqiang Nie. GP-BPR: Personalized compatibility modeling for
clothing matching. ACM International Conference on Multimedia (MM),
2019.
[33]
Yongqi Li, Meng Liu, Jianhua Yin, Chaoran Cui, Xin-Shun Xu and
Liqiang Nie. Routing micro-videos via a temporal graph-guided
recommendation system. ACM International Conference on Multimedia
(MM), 2019.
[34]
Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu and
Liqiang Nie. Personalized capsule wardrobe creation with garment and
user modeling. ACM International Conference on Multimedia (MM),
2019.
[35]
Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu and Heng
Tao Shen. Deep recurrent quantization for generating sequential
binary codes. International Joint Conference on Artificial
Intelligence (IJCAI), 2019.
[36]
Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu and
Liqiang Nie. User attention-guided multimodal dialog systems.
International ACM SIGIR Conference of Research and Development in
Information Retrieval (SIGIR), 2019.
[37]
Chuan-Xiang Li, Ting-Kun Yan, Xin Luo, Liqiang Nie and Xin-Shun Xu.
Supervised robust discrete multimodal hashing for cross-media
retrieval. IEEE Transactions on Multimedia, 2019.
[38]
Heyan Huang, Xiaochi Wei, Liqiang Nie, Xianling Mao and Xin-Shun Xu.
From question to text: Question-oriented feature attention for
answer selection. ACM Transactions on Information and System
Security, 2019.
[39]
Xin
Luo, Ye Wu, Wan-Jin Yu and Xin-Shun Xu. Class consistent hashing for
fast web data searching. World Wide Web, 2019.
[40]
Yongxin Wang, Xin Luo, Huaxiang Zhang and Xin-Shun Xu. Sparse
manifold embedded hashing for multimedia retrieval. ICDE Workshops,
2019.
[41]
Wan-Jin Yu, Zhen-Duo Chen, Xin Luo, Wu Liu and Xin-Shun Xu. DELTA: A
deep dual-stream network for multi-label image classification.
Pattern Recognition, 2019.
[42]
Xin Luo, Peng-Fei Zhang, Zi Huang, Liqiang Nie and Xin-Shun Xu.
Discrete hashing with multiple supervision. IEEE Transactions on
Image Processing, 2019.
[43]
Wei Zhang, Yimeng Li, Weizhi Lu, Xin-Shun Xu and Xiangyang Ji.
Learning intra-video difference for person re-identification. IEEE
Transactions on Circuits and Systems for Video Technology, 2019.
[44]
Chuan-Xiang Li, Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie,
Wei Zhang and Xin-Shun Xu. SCRATCH: A scalable discrete matrix
factorization hashing for cross-modal retrieval. ACM International
Conference on Multimedia (MM), 2018.
[45]
Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Xin-Shun Xu and Mohan
Kankanhalli. Multi-modal preference modeling for product search.
ACM International Conference on Multimedia (MM), 2018.
[46]
Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang and
Xin-Shun Xu. SDMCH: Supervised discrete manifold-embedded
cross-modal hashing. International Joint Conference on Artificial
Intelligence (IJCAI), 2018.
[47]
Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen and Xin-Shun
Xu. Fast scalable supervised hashing. International ACM SIGIR
Conference of Research and Development in Information Retrieval
(SIGIR), 2018.
[48]
Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen and Liqiang Nie.
Chat more: Deepening and widening the chatting topic via a deep
model. International ACM SIGIR Conference of Research and
Development in Information Retrieval (SIGIR), 2018.
[49]
Ye
Wu, Xin Luo, Xin-Shun Xu, Shanqing Guo and Yuliang Shi.
Dictionary learning based supervised discrete hashing for
cross-media retrieval. ACM International Conference on Multimedia
Retrieval (ICMR), 2018.
[50]
Xin Luo, Peng-Fei Zhang, Ye Wu, Zhen-Duo Chen, Hua-Junjie Huang and
Xin-Shun Xu. Asymmetric discrete cross-modal hashing. ACM
International Conference on Multimedia Retrieval (ICMR), 2018.
[51]
Xin Luo, Ye Wu and Xin-Shun Xu. Scalable supervised discrete hashing
for large-scale search. International World Wide Web Conference
(WWW), 2018.
[52]
Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie and Xin-Shun
Xu. Dual deep neural networks cross-modal hashing. AAAI Conference
on Artificial Intelligence (AAAI), 2018. |
