Education

  • - PhD: Dept. of Electronic Engineering, Tsinghua University, August 2010 to January 2016
  • -Visiting student: Dept. of Electrical Engineering and Computer Science, Northwestern University, November 2014 to June 2015
  • -Bachelor: School of Information and Electronics, Beijing Institute of Technology, September 2006 to July 2010

Work Experience

  • -Tenure-track Associate Professor: Gaoling School of Artificial Intelligence, Renmin University of China, July 2020 to present
  • -Associate Professor: Institute of Software, Chinese Academy of Sciences, October 2018 to June 2020
  • - Assistant Professor: Institute of Software, Chinese Academy of Sciences, April 2016 to September 2018

RESEARCH INTERESTS

-Sequence distance learning: temporal alignment, metric learning for sequence data, dimensionality reduction for sequence data, optimal transport, temporal structure analysis

-Machine learning under restricted conditions: self-supervised learning, few-shot learning, zero-shot learning, transfer learning, federated learning, causal reasoning

-Computer vision: video classification, action recognition, visual and semantic correlation analysis, sequence prediction

Publications

2020
Online Joint Multi-Metric Adaptation from Frequent Sharing-Subset Mining for Person Re-Identification
Jiahuan Zhou, Bing Su, and Ying Wu,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (CCF A)

2019
Spatiotemporal Pyramid Pooling in 3D Convolutional Neural Networks for Action Recognition
Cheng Cheng, Pin Lv, and Bing Su
IEEE International Conference on Image Processing (ICIP), 2018.

“Learning Distance for Sequences by Learning a Ground Metric
Bing Su and Ying Wu
International Conference on Machine Learning (ICML), 2019, pp. 6015-6025. (CCF A)

Order-Preserving Wasserstein Discriminant Analysis
Bing Su, Jiahuan Zhou, and Ying Wu
IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 9885-9894. (CCF A)

“Order-preserving Optimal Transport for Distances between Sequences
Bing Su and Gang Hua
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2019, 41(12), pp. 2961-2974. (CCF A)

“Learning Low-Dimensional Temporal Representations with Latent Alignments
Bing Su and Ying Wu
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2019, accepted (CCF A)

2018
Feature Fusion Network for Scene Text Detection
Chenqin Cai, Pin Lv, and Bing Su
IEEE International Conference on Image Processing (ICIP), 2018.

Easy Identification from Better Constraints: Multi-Shot Person Re-Identification from Reference Constraints
Jiahuan Zhou, Bing Su, and Ying Wu
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 5373-5381. (CCF A)

Learning Low-Dimensional Temporal Representations
Learning Low-Dimensional Temporal Representations
International Conference on Machine Learning (ICML), 2018, pp. 4761-4770. (CCF A)

Discriminative Dimensionality Reduction for Multi-Dimensional Sequences
Bing Su, Xiaoqing Ding, Hao Wang, and Ying Wu
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2018, 40(1), pp. 77-91. (CCF A)

Heteroscedastic Max–Min Distance Analysis for Dimensionality Reduction
Bing Su, Xiaoqing Ding, Changsong Liu, and Ying Wu
IEEE Trans. on Image Processing (TIP), 2018, 27(8), pp. 4052-4065. (CCF A)

2017
“Order-preserving Wasserstein Distance for Sequence Matching
Bing Su and Gang Hua
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017, pp. 1049-1057. (CCF A)

Discriminative Transformation for Multi-dimensional Temporal Sequences
Bing Su, Xiaoqing Ding, Changsong Liu, Hao Wang, and Ying Wu
IEEE Trans. on Image Processing (TIP), 2017, 26(7), pp. 3579-3593. (CCF A)

Unsupervised Hierarchical Dynamic Parsing and Encoding for Action Recognition
Bing Su, Jiahuan Zhou, Xiaoqing Ding, and Ying Wu
IEEE Trans. on Image Processing (TIP), 2017, 26(12), pp. 5784-5799. (CCF A)

2016
Hierarchical Dynamic Parsing and Encoding for Action Recognition
Bing Su, Jiahuan Zhou, Xiaoqing Ding, Hao Wang, and Ying Wu
Proc. European Conf. on Computer Vision (ECCV), 2016, pp. 202-217. (CCF B)

2015
Heteroscedastic Max-Min Distance Analysis
Bing Su, Xiaoqing Ding, Changsong Liu, and Ying Wu
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 4539-4547. (CCF A)

2013
A Novel Baseline-independent Feature Set for Arabic Handwriting Recognition
Bing Su, Xiaoqing Ding, Liangrui Peng, and Changsong Liu
International Conference on Document Analysis and Recognition (ICDAR), 2013, pp. 1282-1286.

Cross-language Sensitive Words Distribution Map: A Novel Recognition-based Document Understanding Method for Uighur and Tibetan
Bing Su, Xiaoqing Ding, Liangrui Peng, and Changsong Liu
International Conference on Document Analysis and Recognition (ICDAR), 2013, pp. 255-259.

Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences
Bing Su and Xiaoqing Ding
IEEE International Conference on Computer Vision (ICCV), 2013, pp. 889–896. (CCF A)

2011
SemiBoost-based Arabic character recognition method
Bing Su, Liangrui Peng, and Xiaoqing Ding
Proc. SPIE 7874, Document Recognition and Retrieval XVIII (SPIE DRR), 2011.

Services

  • Reviewer for IEEE TPAMI, IEEE TIP, ICML 2020, NeurIPS 2020, ICME 2020

Contact

Tel:

Email:bingsu@ruc.edu.cn; subingats@gmail.com

Website:

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