| 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 | 143 | 2016 |
| 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 | 131 | 2018 |
| Crowd Counting with Deep Structured Scale Integration Network L Liu, Z Qiu, G Li, S Liu, W Ouyang, L Lin ICCV 2019, 2019 | 128 | 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 | 92 | 2019 |
| 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 | 35 | 2018 |
| 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 | 26 | 2019 |
| 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 | 24 | 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 | 20 | 2020 |
| 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 | 17* | 2020 |
| 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 | 14 | 2019 |
| 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 | 10 | 2020 |
| Face recognition by coarse-to-fine landmark regression with application to atm surveillance Y Li, L Liu, L Lin, Q Wang CCF Chinese Conference on Computer Vision, 62-73, 2017 | 6 | 2017 |
| 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 | 4 | 2020 |
| 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 | 3 | 2021 |
| 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 | 2 | 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 arXiv preprint arXiv:2008.00923, 2020 | 2 | 2020 |
| Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation L Liu, Y Zhu, G Li, Z Wu, L Bai, L Lin arXiv preprint arXiv:2107.00946, 2021 | 1 | 2021 |
| 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 | 1 | 2021 |
| Road Network Guided Fine-Grained Urban Traffic Flow Inference L Liu, M Liu, G Li, Z Wu, L Lin arXiv preprint arXiv:2109.14251, 2021 | | 2021 |
| Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark H Li, L Liu, K Yang, S Liu, J Gao, B Zhao, R Zhang, J Hou arXiv preprint arXiv:2107.08645, 2021 | | 2021 |
Liang LinProfessor, School of Computer Science and Engineering, Sun Yat-Sen University, ChinaVerified email at ieee.org
