| Video captioning with attention-based LSTM and semantic consistency L Gao, Z Guo, H Zhang, X Xu, HT Shen IEEE Transactions on Multimedia 19 (9), 2045-2055, 2017 | 613 | 2017 |
| Beyond frame-level CNN: saliency-aware 3-D CNN with LSTM for video action recognition X Wang, L Gao, J Song, H Shen IEEE signal processing letters 24 (4), 510-514, 2016 | 286 | 2016 |
| Hierarchical LSTMs with adaptive attention for visual captioning L Gao, X Li, J Song, HT Shen IEEE transactions on pattern analysis and machine intelligence 42 (5), 1112-1131, 2019 | 253 | 2019 |
| Beyond rnns: Positional self-attention with co-attention for video question answering X Li, J Song, L Gao, X Liu, W Huang, X He, C Gan Proceedings of the AAAI conference on artificial intelligence 33 (01), 8658-8665, 2019 | 251 | 2019 |
| Self-supervised video hashing with hierarchical binary auto-encoder J Song, H Zhang, X Li, L Gao, M Wang, R Hong IEEE Transactions on Image Processing 27 (7), 3210-3221, 2018 | 241 | 2018 |
| From deterministic to generative: Multimodal stochastic RNNs for video captioning J Song, Y Guo, L Gao, X Li, A Hanjalic, HT Shen IEEE transactions on neural networks and learning systems 30 (10), 3047-3058, 2018 | 239 | 2018 |
| Neighbourhood watch: Referring expression comprehension via language-guided graph attention networks P Wang, Q Wu, J Cao, C Shen, L Gao, A Hengel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 220 | 2019 |
| Binary generative adversarial networks for image retrieval J Song, T He, L Gao, X Xu, A Hanjalic, HT Shen Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 211 | 2018 |
| Deep adversarial metric learning for cross-modal retrieval X Xu, L He, H Lu, L Gao, Y Ji World Wide Web 22, 657-672, 2019 | 203 | 2019 |
| Quantization-based hashing: a general framework for scalable image and video retrieval J Song, L Gao, L Liu, X Zhu, N Sebe Pattern Recognition 75, 175-187, 2018 | 186 | 2018 |
| Hierarchical LSTM with adjusted temporal attention for video captioning J Song, Z Guo, L Gao, W Liu, D Zhang, HT Shen arXiv preprint arXiv:1706.01231, 2017 | 168 | 2017 |
| Mathdqn: Solving arithmetic word problems via deep reinforcement learning L Wang, D Zhang, L Gao, J Song, L Guo, HT Shen Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 132 | 2018 |
| Learning in high-dimensional multimedia data: the state of the art L Gao, J Song, X Liu, J Shao, J Liu, J Shao Multimedia Systems 23, 303-313, 2017 | 124 | 2017 |
| Love thy neighbour: automatic animal behavioural classification of acceleration data using the k-nearest neighbour algorithm OR Bidder, HA Campbell, A Gómez-Laich, P Urgé, J Walker, Y Cai, L Gao, ... PloS one 9 (2), e88609, 2014 | 122 | 2014 |
| Optimized graph learning using partial tags and multiple features for image and video annotation J Song, L Gao, F Nie, HT Shen, Y Yan, N Sebe IEEE Transactions on Image Processing 25 (11), 4999-5011, 2016 | 121 | 2016 |
| Template-based math word problem solvers with recursive neural networks L Wang, D Zhang, J Zhang, X Xu, L Gao, BT Dai, HT Shen Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7144-7151, 2019 | 115 | 2019 |
| Matching user with item set: Collaborative bundle recommendation with deep attention network. L Chen, Y Liu, X He, L Gao, Z Zheng IJCAI, 2095-2101, 2019 | 99 | 2019 |
| Patch-wise attack for fooling deep neural network L Gao, Q Zhang, J Song, X Liu, HT Shen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 96 | 2020 |
| Optimal Graph Learning with Partial Tags and Multiple Features for Image and Video Annotation L Gao, J Song, F Nie, Y Yan, N Sebe, HT Shen IEEE Computer Vision and Pattern Recognition 44 (7), 1225-1236, 2015 | 94 | 2015 |
| Dual Conditional GANs for Face Aging and Rejuvenation. J Song, J Zhang, L Gao, X Liu, HT Shen IJCAI, 899-905, 2018 | 80 | 2018 |
Heng Tao SHENForeign Member of Academia Europaea, Fellow of ACM/IEEE/OSA, UESTCVerified email at uestc.edu.cn
