Journal Papers

  1. Visual Tuning.

    Bruce XB Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang,

    Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin, Qi Tian and Chang-Wen Chen.

    ACM Computing Surveys, 2024 [PDF]

  2. Road Network Guided Fine-Grained Urban Traffic Flow Inference.

    Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu and Liang Lin.

    IEEE Transactions on Neural Networks and Learning Systems, 2023 (TNNLS) [PDF] [Code]

  3. Urban regional function guided traffic flow prediction

    Kuo Wang*, Lingbo Liu*, Yang Liu, GuanBin Li, Fan Zhou, Liang Lin. (* equal contribution)

    Information Sciences, 2023 [PDF]

  4. Transformer-based tropical cyclone track and intensity forecasting.

    Wenjun Jiang, Dongqin Zhang, Gang Hu, Tiantian Wu, Lingbo Liu, Yiqing Xiao, Zhongdong Duan.

    Journal of Wind Engineering and Industrial Aerodynamics 2023. [PDF]

  5. Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation.

    Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai and Liang Lin.

    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [PDF] [Code]

  6. Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark.

    Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang and Jun Hou.

    IEEE Transactions on Image Processing (TIP), 2022. [PDF] [Dataset]

  7. Hybrid-Order Representation Learning for Electricity Theft Detection.

    Yuying Zhu, Yang Zhang, Lingbo Liu, Yang Liu, Guanbin Li, Mingzhi Mao and Liang Lin.

    IEEE Transactions on Industrial Informatics (TII), 2022. [PDF] [Code]

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

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

    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [PDF] [ProjectPage with Code]

  9. Unconstrained Face Sketch Synthesis via Perception-Adaptive Network and A New Benchmark.

    Lin Nie, Lingbo Liu✉, Zhengtao Wu, Wenxiong Kang.

    Neurocomputing, 2022. [PDF] [ProjectPage with Code&Data]

  10. TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning.

    Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan and Liang Lin.

    IEEE Transactions on Image Processing (TIP), 2022. [PDF] [Code]

    ESI Hot Paper

  11. 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.

    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. [PDF] [Code & Dataset]

    ESI Highly Cited Paper

  12. 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. [PDF] [Code & Dataset]

    ESI Highly Cited Paper

  13. 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. [PDF] [Code]

  14. Crowd Counting via Scale-Communicative Aggregation Networks.

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

    Neurocomputing, 2020. [PDF]

  15. 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). [PDF]

  16. 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. [PDF] [Code]

  17. 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. [PDF] [ProjectPage] [SYSU16K Dataset]

  18. 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 (TNNLS), 2016. [PDF] [Code] [ProjectPage]

    Conference Papers

  1. TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation.

    Zhuang Zhuang, Tianxin Wei, Lingbo Liu, Heng Qi, Yanming Shen and Baocai Yin.

    AAAI Conference on Artificial Intelligence (AAAI), 2024. [PDF]

  2. CLIP-Count: Towards Text-Guided Zero-Shot Object Counting.

    Ruixiang Jiang, Lingbo Liu and Chang-Wen Chen.

    Proc. of ACM International Conference on Multimedia (ACM MM), 2023. [PDF] [Code]

  3. Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning

    Tao Han, Lei Bai, Lingbo Liu, Wanli Ouyang

    International Conference on Computer Vision (ICCV), 2023. [PDF] [Code]

  4. Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer.

    Yang Zhang, Lingbo Liu✉, Xinyu Xiong, Guanbin Li, Guoli Wang, Liang Lin

    International Joint Conference on Artificial Intelligence (IJCAI), 2023. [PDF]

  5. Effective Policy Learning with Dense Feedback for Large-Scale Traffic Signal Control.

    Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li and Liang Lin.

    International Joint Conference on Artificial Intelligence (IJCAI), 2023. [PDF]

  6. Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation with Wordless Training.

    Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang-wen Chen.

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF] [Code]

  7. Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction..

    Guangyin Jin, Lingbo Liu, Fuxian Li and Jincai Huang.

    AAAI Conference on Artificial Intelligence (AAAI), 2023. [PDF]

  8. Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting.

    Wei Lin, Kunlin Yang, Xinzhu Ma, Junyu Gao, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi, Antoni B Chan.

    British Machine Vision Conference (BMVC), 2022. [PDF] [Code]

  9. Multimodal Crowd Counting with Mutual Attention Transformers.

    Zhengtao Wu, Lingbo Liu, Yang Zhang, Mingzhi Mao, Liang Lin and Guanbin Li.

    IEEE International Conference on Multimedia and Expo (ICME), 2022. [PDF]

  10. 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. [PDF] [ProjectPage with Code&Data]

  11. GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer.

    Shuaicheng Li, Qianggang Cao, Lingbo Liu, Kunlin Yang, Shinan Liu, Jun Hou and Shuai Yi.

    IEEE International Conference on Computer Vision (ICCV), 2021. [PDF] [Code]

  12. GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning.

    Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric Xing and Liang Lin.

    Annual Meeting of the Association for Computational Linguistics (ACL), 2021. [PDF] [Code&Data]

  13. 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), 2021. [PDF]

  14. TRUFM: a Transformer-Guided Framework for Fine-Grained Urban Flow Inference

    Xinchi Zhou, Dongzhan Zhou, Lingbo Liu✉

    International Conference on Neural Information Processing (ICNIP), 2021. [PDF]

  15. 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. [PDF] [Code & Models.]

  16. 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. [PDF] [Code]

  17. 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.

  18. 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. [PDF]

  19. 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), 2018. [PDF] [Code]

    Preprints

  1. Prompt-Matched Semantic Segmentation.

    Lingbo Liu, Bruce X.B. Yu, Jianlong Chang, Qi Tian and Chang-Wen Chen.

    [PDF]

  2. Conditional Prompt Tuning for Multimodal Fusion.

    Ruixiang Jiang, Lingbo Liu and Chang-Wen Chen.

    [PDF]

  3. SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting

    Hefeng Wu, Yandong Chen, Lingbo Liu, Tianshui Chen, Keze Wang, Liang Lin

    [PDF]

  4. Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels.

    Tianshui Chen, Tao Pu, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin.

    Submit to Journal. [PDF]

  5. Towards a Unified View on Visual Parameter-Efficient Transfer Learning.

    Bruce X.B. Yu, Jianlong Chang, Lingbo Liu, Qi Tian and Chang-Wen Chen.

    [PDF]