| Tcgl: Temporal contrastive graph for self-supervised video representation learning Y Liu, K Wang, L Liu, H Lan, L Lin IEEE Transactions on Image Processing 31, 1978-1993, 2022 | 117 | 2022 |
| Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition Y Liu, K Wang, G Li, L Lin IEEE Transactions on Image Processing 30, 5573-5588, 2021 | 89 | 2021 |
| Cross-modal causal relational reasoning for event-level visual question answering Y Liu, G Li, L Lin IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 66 | 2023 |
| Hierarchically learned view-invariant representations for cross-view action recognition Y Liu, Z Lu, J Li, T Yang IEEE Transactions on Circuits and Systems for Video Technology 29 (8), 2416-2430, 2018 | 64 | 2018 |
| Global temporal representation based cnns for infrared action recognition Y Liu, Z Lu, J Li, T Yang, C Yao IEEE Signal Processing Letters 25 (6), 848-852, 2018 | 59 | 2018 |
| Deep image-to-video adaptation and fusion networks for action recognition Y Liu, Z Lu, J Li, T Yang, C Yao IEEE Transactions on Image Processing 29, 3168-3182, 2019 | 58 | 2019 |
| Transferable feature representation for visible-to-infrared cross-dataset human action recognition Y Liu, Z Lu, J Li, C Yao, Y Deng Complexity 2018, 1-20, 2018 | 48 | 2018 |
| Causal reasoning meets visual representation learning: A prospective study Y Liu, YS Wei, H Yan, GB Li, L Lin Machine Intelligence Research 19 (6), 485-511, 2022 | 33 | 2022 |
| Cross-modal knowledge distillation for vision-to-sensor action recognition J Ni, R Sarbajna, Y Liu, AHH Ngu, Y Yan IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022 | 25 | 2022 |
| Hybrid-order representation learning for electricity theft detection Y Zhu, Y Zhang, L Liu, Y Liu, G Li, M Mao, L Lin IEEE Transactions on Industrial Informatics 19 (2), 1248-1259, 2022 | 24 | 2022 |
| Skeletonmae: graph-based masked autoencoder for skeleton sequence pre-training H Yan, Y Liu, Y Wei, Z Li, G Li, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| Temporal contrastive graph learning for video action recognition and retrieval Y Liu, K Wang, H Lan, L Lin arXiv preprint arXiv:2101.00820, 2021 | 15* | 2021 |
| Urban regional function guided traffic flow prediction K Wang, LB Liu, Y Liu, GB Li, F Zhou, L Lin Information Sciences 634, 308-320, 2023 | 14 | 2023 |
| Dual adversarial adaptation for cross-device real-world image super-resolution X Xu, P Wei, W Chen, Y Liu, M Mao, L Lin, G Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 14 | 2022 |
| Towards causalgpt: A multi-agent approach for faithful knowledge reasoning via promoting causal consistency in llms Z Tang, R Wang, W Chen, K Wang, Y Liu, T Chen, L Lin arXiv preprint arXiv:2308.11914, 2023 | 10 | 2023 |
| Visual-linguistic causal intervention for radiology report generation W Chen, Y Liu, C Wang, G Li, J Zhu, L Lin arXiv preprint arXiv:2303.09117 3, 2023 | 10 | 2023 |
| Visual causal scene refinement for video question answering Y Wei, Y Liu, H Yan, G Li, L Lin Proceedings of the 31st ACM International Conference on Multimedia, 377-386, 2023 | 6 | 2023 |
| Audio-visual contrastive learning for self-supervised action recognition H Lan, Y Liu, L Lin arXiv preprint arXiv:2204.13386 1, 2022 | 6 | 2022 |
| Combining multiple features for cross-domain face sketch recognition Y Liu, J Li, ZY Lu, T Yang, ZJ Liu Chinese Conference on Biometric Recognition (CCBR), 139-146, 2016 | 6 | 2016 |
| VCD: Visual Causality Discovery for Cross-Modal Question Reasoning Y Liu, Y Tan, J Luo, W Chen Pattern Recognition and Computer Vision (PRCV), 309-322, 2023 | 5* | 2023 |
Liang LinFellow of IEEE/IAPR, Research Director of Peng Cheng Laboratory, Professor of Computer Science, SYSUVerified email at ieee.org
