| Crowd Counting with Deep Structured Scale Integration Network L Liu, Z Qiu, G Li, S Liu, W Ouyang, L Lin ICCV 2019, 2019 | 244 | 2019 |
| Contextualized spatial–temporal network for taxi origin-destination demand prediction L Liu, Z Qiu, G Li, Q Wang, W Ouyang, L Lin IEEE Transactions on Intelligent Transportation Systems 20 (10), 3875-3887, 2019 | 224 | 2019 |
| Crowd counting using deep recurrent spatial-aware network L Liu, H Wang, G Li, W Ouyang, L Lin International Joint Conference on Artificial Intelligence, 2018 | 202 | 2018 |
| DISC: Deep image saliency computing via progressive representation learning T Chen, L Lin, L Liu, X Luo, X Li IEEE transactions on neural networks and learning systems 27 (6), 1135-1149, 2016 | 165 | 2016 |
| Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting L Liu, J Chen, H Wu, G Li, C Li, L Lin IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021 | 97 | 2021 |
| Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction L Liu, J Chen, H Wu, J Zhen, G Li, L Lin IEEE Transactions on Intelligent Transportation Systems, 2020 | 93* | 2020 |
| Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction L Liu, J Zhen, G Li, G Zhan, Z He, B Du, L Lin IEEE Transactions on Intelligent Transportation Systems, 2020 | 92 | 2020 |
| Deep learning-based investigation of wind pressures on tall building under interference effects G Hu, L Liu, D Tao, J Song, KT Tse, KCS Kwok Journal of Wind Engineering and Industrial Aerodynamics 201, 104138, 2020 | 87 | 2020 |
| 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, 2022 | 85 | 2022 |
| GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer S Li, Q Cao, L Liu, K Yang, S Liu, J Hou, S Yi IEEE International Conference on Computer Vision （ICCV）, 2021 | 75 | 2021 |
| Cross-domain facial expression recognition: A unified evaluation benchmark and adversarial graph learning T Chen, T Pu, H Wu, Y Xie, L Liu, L Lin IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 71 | 2021 |
| Attentive crowd flow machines L Liu, R Zhang, J Peng, G Li, B Du, L Lin ACM Multimedia Conference on Multimedia Conference （ACM MM）, 2018 | 64 | 2018 |
| Efficient Crowd Counting via Structured Knowledge Transfer L Liu, J Chen, H Wu, T Chen, G Li, L Lin Proceedings of the 28th ACM International Conference on Multimedia, 2645–2654, 2020 | 58 | 2020 |
| Facial landmark machines: A backbone-branches architecture with progressive representation learning L Liu, G Li, Y Xie, Y Yu, Q Wang, L Lin IEEE Transactions on Multimedia 21 (9), 2248-2262, 2019 | 38 | 2019 |
| GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning J Chen, J Tang, J Qin, X Liang, L Liu, E Xing, L Lin ACL, 2021 | 33 | 2021 |
| Crowd counting via multi-view scale aggregation networks Z Qiu, L Liu, G Li, Q Wang, N Xiao, L Lin 2019 IEEE International Conference on Multimedia and Expo (ICME), 1498-1503, 2019 | 22 | 2019 |
| Crowd counting via scale-communicative aggregation networks L Yuan, Z Qiu, L Liu, H Wu, T Chen, P Chen, L Lin Neurocomputing 409, 420-430, 2020 | 19 | 2020 |
| Prompt-matched semantic segmentation L Liu, J Chang, BXB Yu, L Lin, Q Tian, CW Chen arXiv preprint arXiv:2208.10159, 2022 | 17 | 2022 |
| Towards a unified view on visual parameter-efficient transfer learning BXB Yu, J Chang, L Liu, Q Tian, CW Chen arXiv preprint arXiv:2210.00788, 2022 | 14 | 2022 |
| Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation with Wordless Training J Lin, J Chang, L Liu, G Li, L Lin, Q Tian, C Chen CVPR 2023, 2023 | 12* | 2023 |
Liang LinFellow of IAPR, Professor of Computer Science, Sun Yat-Sen University, ChinaVerified email at ieee.org
