Journal Papers       (using CAS Journal Ranking Advanced Version)       Google Scholar

  • Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction.

    Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li and Liang Lin.

    IEEE Transactions on Intelligent Transportation Systems (TITS), 2020, [JCR Rank 1]

    [PDF] [Code & Dataset] [BibTeX]

  • Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction.

    Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Zhaocheng He, Bowen Du and Liang Lin.

    IEEE Transactions on Intelligent Transportation Systems (TITS), 2020. [JCR Rank 1]

    [PDF] [Code] [BibTeX] (Extension of ACM MM work)

  • Crowd Counting via Scale-Communicative Aggregation Networks.

    Lixian Yuan, Zhilin Qiu, Lingbo Liu, Hefeng Wu, Tianshui Chen, Pei Chen and Liang Lin.

    Neurocomputing, 2020. [JCR Rank 2]

    [PDF] (Extension of ICME work)

  • Deep learning-based investigation of wind pressures on tall building under interference effects.

    Gang Hu, Lingbo Liu, Dacheng Tao, Song Jie and K C S Kwok.

    Journal of Wind Engineering & Industrial Aerodynamics, 2020 (JWEIA). [JCR Rank 2]

    [PDF]

  • Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction.

    Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang and Liang Lin.

    IEEE Transactions on Intelligent Transportation Systems (TITS), 2019. [JCR Rank 1]

    [PDF] [Code]

  • Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning.

    Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang and Liang Lin.

    IEEE Transactions on Multimedia (T-MM), 2019. [JCR Rank 1]

    [PDF] [ProjectPage] [SYSU16K Dataset]

  • DISC: Deep Image Saliency Computing via Progressive Representation Learning.

    Tianshui Chen, Liang Lin, Lingbo Liu, Xiaonan Luo and Xuelong Li.

    IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2016. [JCR Rank 1]

    [PDF] [Code] [ProjectPage]

    Conference papers

  • Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting.

    Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li and Liang Lin.

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [CCF A]

    [PDF] [ProjectPage with Code&Data]

  • Representative Local Feature Mining for Few-Shot Learning.

    Kun Yan, Lingbo Liu, Jun Hou and Ping Wang.

    IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), 2020. [CCF B]

    [PDF]

  • Efficient Crowd Counting via Structured Knowledge Transfer.

    Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li and Liang Lin.

    Proc. of ACM International Conference on Multimedia (ACM MM), 2020. [CCF A]

    [PDF] [BibTeX] [Code & Models.]

  • Crowd Counting with Deep Structured Scale Integration Network

    Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang and Liang Lin.

    IEEE International Conference on Computer Vision (ICCV), 2019. [CCF A]

    [PDF] [Code]

  • Crowd Counting via Multi-View Scale Aggregation Networks

    Zhilin Qiu, Lingbo Liu, Guanbin Li, Qing Wang, Nong Xiao and Liang Lin.

    IEEE International Conference on Multimedia and Expo (ICME), 2019. [CCF B]

    [PDF]

  • Crowd Counting using Deep Recurrent Spatial-Aware Network.

    Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang and Liang Lin.

    Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2018. [CCF A]

    [PDF]

  • Attentive Crowd Flow Machines.

    Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du and Liang Lin.

    Proc. of ACM International Conference on Multimedia (ACM MM), Oral,2018. [CCF A]

    [PDF] [Code]

    Preprints

  • Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction.

    Lingbo Liu, Zewei Yang, Kuo Wang, Guanbin Li and Liang Lin.

    Submit to IEEE Transactions on Neural Networks and Learning Systems (T-NNLS).

  • Dynamic Convolutional Network for Face Sketch Synthesis in the Wild and A New Benchmark.

    Lingbo Liu, Zhilin Qiu, Guanbin Li, Rui Su, Wanli Ouyang and Liang Lin.

  • Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning.

    Tianshui Chen, Tao Pu, Yuan Xie, Hefeng Wu, Lingbo Liu, Liang Lin.

    [PDF] [Code & Dataset]