| 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 | 113 | 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 | 55 | 2018 |
| 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 | 16 | 2018 |
| Crowd Counting with Deep Structured Scale Integration Network L Liu, Z Qiu, G Li, S Liu, W Ouyang, L Lin ICCV 2019, 2019 | 15 | 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 | 14* | 2019 |
| 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 | 9* | 2019 |
| 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 | 6 | 2019 |
| 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 | 5 | 2017 |
| 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 | | 2020 |
| Efficient Crowd Counting via Structured Knowledge Transfer L Liu, J Chen, H Wu, T Chen, G Li, L Lin arXiv preprint arXiv:2003.10120, 2020 | | 2020 |
| Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction J Chen, L Liu, H Wu, J Zhen, G Li, L Lin arXiv preprint arXiv:2001.04889, 2020 | | 2020 |
| ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction L Liu, J Zhen, G Li, G Zhan, L Lin arXiv preprint arXiv:1909.02902, 2019 | | 2019 |
Liang LinProfessor, School of Data and Computer Science, Sun Yat-Sen University, ChinaVerified email at ieee.org
