Publications

Peer-reviewed Papers

Computer Vision, Graphics

  • DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition
    Yuxuan Liang, Pan Zhou, Roger Zimmermann and Shuicheng Yan
    The European Conference on Computer Vision (ECCV), 2022.

  • Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery
    Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng and Roger Zimmermann
    ACM Multimedia (MM), 2022.

  • Content-Attribute Disentanglement for Generalized Zero-Shot Learning
    Yoojin An, Sangyeon Kim, Yuxuan Liang, Roger Zimmermann, Dongho Kim and Jihie Kim
    IEEE Access, 2022.

Urban Computing, Spatio-Temporal Data Mining

  • TrajFormer: Efficient Trajectory Classification with Transformers
    Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng and Roger Zimmermann
    31st ACM International Conference on Information and Knowledge Management, To Appear, 2022.

  • Fine-Grained Urban Flow Prediction
    Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David Rosenblum and Roger Zimmermann
    The Web Conference 2021 (WWW), 2021.

  • UrbanFM: Inferring Fine-Grained Urban Flows [Code]
    Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
    in Proc. of The ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.

  • Inferring Traffic Cascading Patterns
    Yuxuan Liang, Zhongyuan Jiang, Yu Zheng
    in Proc. of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), 2017.

  • Fine-Grained Urban Flow Inference [Code]
    Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum
    in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.

Graph Neural Networks, Machine Learning

  • Time-Aware Neighbor Sampling on Temporal Graphs
    Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang and Bryan Hooi
    in Proc. of The International Joint Conference on Neural Networks (IJCNN), 2022.

  • Directed Graph Contrastive Learning
    Zekun Tong, Yuxuan Liang, Henghui Ding, Yongxing Dai, Xinke Li and Changhu Wang
    in Proc. of The Advances in Neural Information Processing Systems (NeurIPS), 2021.

  • Adaptive data augmentation on temporal graphs
    Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia and Bryan Hooi
    in Proc. of The Advances in Neural Information Processing Systems (NeurIPS), 2021.

  • Progressive Supervision for Node Classification
    Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
    in Proc. of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020.

  • Federated Forest
    Yang Liu, Yingting Liu, Zhijie Liu, Yuxuan Liang, Chuishi Meng, Junbo Zhang, Yu Zheng
    in IEEE Transactions on Big Data (TBD), 2020.

Preprints