Currently I am a staff scientist in Weibo R&D. Before that I worked as tech lead in Vipshop US Inc and Banjo Inc. I got my Ph.D. in the department of Computer Science and Engineering, University at Buffalo, SUNY in 2015 under the supervision of Prof. Jason J. Corso. I got dual B.S. of Electrical Engineering and Finance from Tianjin University and Nankai University respectively.

Research Interests

Deep Learning, Computer Vision, NLP.


Google Scholar


xurantju [at]



Context Aware Recommender System for Large Scaled Flash Sale Sites, Wanying Ding, Ran Xu, Ying Ding, Yue Zhang, Chuanjiang Luo, Zhendong Yu.
IEEE International Conference on Big Data (BIGDATA 2018). [ pdf ]

Deep ranking structural support vector machine for image tagging, Gang Chen, Ran Xu, Zhi Yang.
Pattern Recognition Letters (PRL 2016). [ link ]


Sequential labeling with online deep learning: Exploring model initialization, Gang Chen, Ran Xu, Sargur N. Srihari.
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2016). [ link ]

Collecting and annotating the large continuous action dataset, Daniel Paul Barrett, Ran Xu, Haonan Yu, Jeffrey Mark Siskind.
Machine Vision and Applications 27 (7), 983-995 (MVA 2016). [ pdf ]


Jointly modeling deep video and compositional text to bridge vision and language in a unified framework, Ran Xu, Caiming Xiong, Wei Chen, Jason Corso.
AAAI Conference on Artificial Intelligence (AAAI 2015). [ pdf ]

Human Action Segmentation with Hierarchical Supervoxel Consistency, Jiasen Lu, Ran Xu, Jason Corso.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015). [ pdf, code ]


Actionness ranking with lattice conditional ordinal random fields, Wei Chen, Caiming Xiong, Ran Xu, Jason Corso.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014). [ pdf ]

Compositional structure learning for action understanding, Ran Xu, Gang Chen, Caiming Xiong, Wei Chen, Jason J Corso.
Tech Report. [ pdf ]

Improving word representations via global visual context, Ran Xu, Jiasen Lu, Caiming Xiong, Zhi Yang, Jason J Corso.
NIPS Workshop on Learning Semantics (NIPSW 2014). [ pdf, code ]


Random forests for metric learning with implicit pairwise position dependence, Caiming Xiong, David M. Johnson, R. Xu, Jason Corso.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2012). [ pdf, code ] (Oral)

Combining skeletal pose with local motion for human activity recognition, Ran Xu, Priyanshu Agarwal, Suren Kumar, Venkat N Krovi, Jason J Corso.
International Conference on Articulated Motion and Deformable Objects (AMDO 2012). [ pdf ] (Oral)

Professional Services

Journal and Conference Reviewer

  • TPAMI, Neurocomputing, NIPS 2018, ICCV 2019, AAAI 2016, AAAI 2017, AAAI 2018