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.
Dynamic Public Resource Allocation based on Human Mobility Prediction
Sijie Ruan, Jie Bao, Yuxuan Liang, Ruiyuan Li, Tianfu He, Chuishi Meng, Yanhua Li, Yingcai Wu, Yu Zheng
in Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 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
|