| 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 | 140 | 2022 |
| 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 45 (10 …, 2023 | 120 | 2023 |
| 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 | 110 | 2021 |
| 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 | 69 | 2018 |
| 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, 2019 | 66 | 2019 |
| 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, 2020 | 63 | 2020 |
| 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), 5345241, 2018 | 55 | 2018 |
| 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 | 52 | 2023 |
| 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 | 48 | 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 | 42 | 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, 2023 | 37 | 2023 |
| Aligning cyber space with physical world: A comprehensive survey on embodied ai Y Liu, W Chen, Y Bai, X Liang, G Li, W Gao, L Lin IEEE/ASME Transactions on Mechatronics (Major), 2025 | 35 | 2025 |
| Enhanced soft label for semi-supervised semantic segmentation J Ma, C Wang, Y Liu, L Lin, G Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 31 | 2023 |
| 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 | 28 | 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 | 24 | 2023 |
| Cross-Modal Causal Intervention for Medical Report Generation W Chen, Y Liu*, C Wang, J Zhu, G Li, CL Liu, L Lin IEEE Transactions on Image Processing (Major), 2025 | 23* | 2025 |
| 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 | 22 | 2022 |
| Temporal contrastive graph learning for video action recognition and retrieval Y Liu, K Wang, H Lan, L Lin arXiv preprint arXiv:2101.00820, 2021 | 20* | 2021 |
| 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 | 15 | 2023 |
| Self-supervised contrastive learning for audio-visual action recognition Y Liu, Y Tan, H Lan IEEE International Conference on Image Processing (ICIP), 1000-1004, 2023 | 11* | 2023 |
Liang LinFellow of IEEE/IAPR, Professor of Computer Science, Sun Yat-sen University確認したメール アドレス: ieee.org