Xi'an Jiaotong-Liverpool University

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Dr. Qiufeng Wang is currently a senior associate professor and the head of Department of Intelligent Science at School of Advanced Technology in Xi’an Jiaotong-Liverpool University (XJTLU). He received the Ph.D degree in Pattern Recognition and Intelligence Systems from Institute of Automation, Chinese Academy of Sciences (CASIA) in July 2012, and won Presidential Scholarship of Chinese Academy of Sciences. During 2012 to 2013, he worked as an Assistant Professor at the National Laboratory of Pattern Recognition (NLPR) in CASIA . During 2013 to 2017, he worked at Microsoft and joined in XJTLU in Feb. 2017.

His research interests include pattern recognition, machine learning, and language modeling, more specially, the document analysis and recognition. Dr. Wang has published 70+ papers, including IEEE T-PAMI, and published one book about deep learning in Springer. His research has been supported by both government and industry, including NSFC young programme, NSFC general programme, and CCF-Tencent.

Qualifications
- Ph.D. , Institute of Automation, Chinese Academy of Sciences, - 2012
- B.S, Computer Science, Nanjing University of Science and Technology, 2006
Experience
- Associate Professor, department of intelligent science, school of advanced technology, XJTLU, 2019 - now
- Lecturer, department of Electrical and Electronic Engineering, XJTLU, 2017 - 2019
- Engineer, Microsoft, 2013-2017
- Assistant Professor, Institute of automation, Chinese Academy of Sciences, 2012-2013
Research interests
- pattern recognition, computer vision, document analysis and recognition, OCR
Articles
- Mengkai Ma, Qiu-Feng Wang, Shan Huang, Shen Huang, Yannis Goulermas, Kaizhu Huang, Residual attention-based multi-scale script identification in scene text images, Neurocomputing, Vol. 421, pp. 222- 233, 2021
- Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Jimin Xiao, Rui Zhang: Generative adversarial classifier for handwriting characters super-resolution. Pattern Recognit. 107: 107453 (2020)
- Qiu-Feng Wang; Kai Yao; Rui Zhang; Amir Hussain; Kaizhu Huang, Improving Deep Neural Network Performance by Integrating Kernelized Min-Max Objective, Neurocomputing, 408: 82-90 (2020)
- Yupeng Cao, Jing Li, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang: Improving Script Identification by Integrating Text Recognition Information. Aust. J. Intell. Inf. Process. Syst. 16(3): 67-75 (2019)
- Qiu-Feng Wang, Mirror Xu, Amir Hussain, Large-scale Ensemble Model for Customer Churn Prediction in Search Ads. Cognitive Computation, 11(2): 262 – 270, 2019.
- Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Heling Cao, Qiu-Feng Wang, Discriminant Zero-Shot Learning with Center Loss, Cognitive Computation, 11(4):503-512, 2019
- Xiao-Bo Jin, Guo-Sen Xie, Qiu-Feng Wang, Guoqiang Zhong, Guang-Gang Geng, Nonconvex matrix completion with Nesterov’s acceleration, BMC Big Data Analytics, 2018, 3:11
- Qiu-Feng Wang, Mirror Xu, Amir Hussain, Large-scale Ensemble Model for Customer Churn Prediction in Search Ads. Cognitive Computation, 2018
- Qiu-Feng Wang, Kaizhu Huang, Song Li, Wei Yu, Adaptive modeling for large-scale advertisers optimization, BMC Big Data Analytics, 2017, 2:8.
- Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Unsupervised Language Model Adaptation for Handwritten Chinese Text Recognition, Pattern Recognition, 47(3), pp. 1202-1216, 2014.
- Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, An Over-segmentation method for single-touching Chinese handwriting with learning-based filtering, INT J Document Analysis and Recognition, 17 (1), pp. 91-104, 2014.
- Qiu-Feng Wang, Erik Cambria, Cheng-Lin Liu, Amir Hussain, Common Sense Knowledge for Handwritten Chinese Text Recognition, Cognitive Computation, 5 (2), pp. 234-242, 2013.
- Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context, Pattern Recognition, 46 (10), pp. 2807-2818, 2013.
- Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang, Online and offline handwritten Chinese character recognition: Benchmarking on new databases. Pattern Recognition, 46(1), pp. 155-162, 2013.
- Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Handwritten Chinese Text Recognition by Integrating Multiple Contexts, IEEE Trans. Pattern Analysis and Machine Intelligence, 34 (8), pp. 1469-1481, 2012.
Proceedings
- Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang, Xiaowei Huang, A Segment-Based Layout Aware Model for Information Extraction on Document Images, ICONIP 2021
- Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiu-Feng Wang, Chaoliang Zhong, Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation, ICCV 2021.
- Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi, Towards Better Robust Generalization with Shift Consistency Regularization, ICML 2021
- Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang, Mix-Up Augmentation for Oracle Character Recognition with Imbalanced Data Distribution, ICDAR 2021
- Qi Lyu, Qiu-Feng Wang, Kaizhu Huang, High-Resolution Virtual Try-On Network with Coarse-to-Fine Strategy, 5th International Conference on Machine Vision and Information Technology (CMVIT 2021)
- Jing Li, Qiu-Feng Wang, Rui Zhang, Kaizhu Huang, Adversarial Rectification Network for Scene Text Regularization, Proc. 27th ICONIP, pp 152-163, November 18 -22, 2020, Bangkok, Thailand.
- Haotian Xu, Xiaobo Jin, Qiu-Feng Wang, Kaizhu Huang, Multi-Scale Attention Consistency for Multi-Label Image Classification, Proc. 27th ICONIP, pp. 815-823, November 18 -22, 2020, Bangkok, Thailand
- Zhen-Xing Wang, Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Weakly Supervised Learning for Over-Segmentation Based Handwritten Chinese Text Recognition, IEEE 17th Proc. ICFHR, pp. 157 – 162, September 7-10, 2020, Dortmund, Germany
- Zhaohong Guo, Hui Xu, Feng Lu, Qiu-Feng Wang, Xiangdong Zhou, Yu Shi, Improving Irregular Text Recognition by Integrating Gabor Convolutional Network. ICTAI 2019: 286-293
- Yupeng Cao, Qiu-Feng Wang, Kaizhu Huang and Rui Zhang, Improving Image Caption Performance with Linguistic Context, The 10th International Conference on Brain-Inspired Cognitive Systems (BICS) 2019, Guangzhou, China
- Yuanye Fang, Rui Zhang, Qiu-Feng Wang, and Kaizhu Huang, Action Recognition in Videos with Temporal Segments Fusion, The 10th International Conference on Brain-Inspired Cognitive Systems (BICS) 2019, Guangzhou, China
- Zhejian Zhang, Rui Zhang, Qiu-Feng Wang and Kaizhu Huang, Improving Disentanglement-Based Image-to-Image Translation with Feature Joint Block Fusion, The 10th International Conference on Brain-Inspired Cognitive Systems (BICS) 2019, Guangzhou, China
- Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Jianyu Miao, Qiu-Feng Wang, Beyond Attributes: High-order Attribute Features for Zero-shot Learning, 4th International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision 2019 (ICCV 2019 workshop), Seoul, Korea.
- Le Zhou, Qiu-Feng Wang, Cheng-Hung Lo, Kaizhu Huang, An Interactive and Generative Approach for Chinese Shanshui Painting Document, Proc. 15th ICDAR, 2019
- Tong-Hua Su, Shu-Kai Jia, Qiufeng Wang, Li Sun, Rui-Gang Wang, Novel Character Segmentation Method for Overlapped Handwriting Recognition based on LSTM Neural Networks, Proc. 23rd ICPR, 2016.
- Xiao-Jie Jin, Qiu-Feng Wang, Xin-Wen Hou, Cheng-Lin Liu, Visual Gesture Character String Recognition by Classification-Based Segmentation with Stroke Deletion, Proc. 2nd ACPR, pp. 120-124, 2013.
- Fei Yin, Qiu-Feng Wang, Xu-Yao Zhang, Cheng-Lin Liu, ICDAR 2013 Chinese Handwriting Recognition Competition, Proc. 12th ICDAR, pp. 1464-1470, 2013
- Fei Yin, Ming-Ke Zhou, Qiu-Feng Wang, Cheng-Lin Liu, Style Consistent Perturbation for Handwritten Chinese Character Recognition. Proc. 12th ICDAR, pp. 1051-1055, 2013.
- Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Improving Handwritten Chinese Text Recognition by Unsupervised Language Model Adaptation, Proc. 10th DAS, pp. 10-114, 2012 (Oral).
- Abdulrahman Alalshekmubarak, Amir Hussain, Qiu-Feng Wang, Off-Line Handwritten Arabic Word Recognition Using SVMs with Normalized Poly Kernel, Proc. 19th ICONIP, pp. 85-91, 2012.
- Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, A Touching Character Database from Chinese Handwriting for Assessing Segmentation Algorithms, Proc. 13th ICFHR, pp. 89-94, 2012.
- Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Improving Handwritten Chinese Text Recognition by Confidence Transformation, Proc. 11th ICDAR, pp. 518-522, 2011 (Oral).
- Cheng-Lin Liu, Fei Yin, Qiu-Feng Wang and Da-Han Wang, ICDAR 2011 Chinese Handwriting Recognition Competition, Proc. 11th ICDAR, pp. 1464-1469, 2011.
- Xiang-Dong Zhou, Fei Yin, Da-Han Wang, Qiu-Feng Wang, Masaki Nakagawa, Cheng-Lin Liu, Transcript Mapping for Handwritten Text Lines Using Conditional Random Fields. Proc. 11th ICDAR, pp. 58-62, 2011.
- Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang, CASIA Online and Offline Chinese Handwriting Databases. Proc. 11th ICDAR, pp. 37-41, 2011.
- Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, Touching Character Separation in Chinese Handwriting Using Visibility-Based Foreground Analysis. Proc. 11th ICDAR, pp 859-863, 2011.
- Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, Integrating Geometric Context for Text Alignment of Handwritten Chinese Documents, Proc. 12th ICFHR, pp. 7-12, 2010.
- Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Integrating language model in handwriting Chinese text recognition, Proc. 10th ICDAR, pp. 1036-1040, 2009 (Oral).
- Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, A tool for ground-truthing text lines and characters in off-line handwritten Chinese documents, Proc. 10th ICDAR, pp.951-955, 2009.
Books, monographs, compilations and manuals
- Kaizhu Huang, Amir Hussain, Qiu-Feng Wang, Rui Zhang, Deep Learning: Fundamentals, Theory, and Applications, Springer, 2019
Chapters, cases, readings and supplements
- Tonghua Su, Li Sun, Qiu-Feng Wang, Da-Han Wang, Deep RNN Architecture: Design and Evaluation, Chapter 2 in Deep Learning: Fundamentals, Theory, and Applications, Springer, 2019
- Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Handwritten Chinese Text Line Recognition, Chapter 6 in Advances in Chinese Document and Text Processing, World Scientific, 2017.
- Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang, Liang Xu, Xu-Yao Zhang, Chinese Handwriting Database Building and Benchmarking, Chapter 2 in Advances in Chinese Document and Text Processing, World Scientific, 2017.
Grants
- PI, 2019 - 2022, Investigation on integrating internet texts in document recognition, NSFC-general.
- PI, 2018 - 2021, Investigation on handwritten Chinese text recognition based on multi-modal analysis, Jiangsu Science and Technology Programme
- PI, 2018 - 2019, Study on linguistic context in document recognition, CCF- Tencent Rhino-Bird Young Faculty Open Research Fund
- PI, 2017, Natural Scene Text Detection and Recognition by Integrating Multiple Contexts, XJTLU Research Development Fund (RDF-16-02-49)
- PI, 2014-2016, High-order context modeling for handwritten Chinese document recognition, NSFC Young-Scholar Programme
Professional service activities
- Reviewer of Pattern Recognition, Neural Networks, etc.
- Reviewer of CVPR, ECCV, ICML, ICLR, NeurlPS, AAAI, IJCAI, ICDAR, ICPR, ICONIP, etc.
Teaching activities
- INT 302
- INT 404
Professional memberships
- Member of CAAI-Pattern Recognition Committee
- Member of CAA-Pattern Recognition and Machine Intelligence Committee
- Member of CSIG-Document Image Analysis and Recognition Committee
- Member of JSAI-Foundation and Application Committee
- Member of JSAI-Pattern Recognition Committee
Awards and honours
- 2020 ICONIP Runner-up Paper Award
- 2012 Presidential Scholarship Excellent Class of Chinese Academy of Sciences

电话
+86 (0)51281884765
电子邮件
Qiufeng.Wang@xjtlu.edu.cn
地址
EE510A(SIP Campus-Engineering Building(EE))
Suzhou Dushu Lake Science and Education Innovation District
Suzhou Industrial Park
Suzhou
P.R.China
215123

Qiufeng WangPh.D.

Profile

Qualifications

Experience

Research interests

Articles

Proceedings

Books, monographs, compilations and manuals

Chapters, cases, readings and supplements

Grants

Professional service activities

Teaching activities

Professional memberships

Awards and honours