Peng Wang


  http://teacher.nwpu.edu.cn/en/pengwang

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The basic information

Peng Wang

School of Computer Science

Postgraduate

Doctor

Professor

General Introduction

Work Experience

After PhD, I worked at Fujitsu R&D Centre, Beijing, and then at Australian Centre for Visual Technologies, University of Adelaide. Since 2017, I have been working as a Professor in School of Computer Science, Northwestern Polytechnical University, China.

Education Experience

I received my bachelor and PhD degrees from School of Automation Science and Technology, Beihang University, in 2004 and 2011 respectively.

Scientific Research

My research has been focusing on Computer Vision, Machine Learning and Artificial Intelligence. 

Academic Achievements

Selected Journal Papers

— Peng Wang*, Qi Wu*, Chunhua Shen, Anthony Dick, Anton van den Hengel. FVQA: Fact-based Visual Question AnsweringTPAMI, 2018. (*=equal contribution) 

— Qi Wu, Chunhua Shen, Peng Wang, Anton van den Hengel, Anthony Dick. Image Captioning and Visual Question Answering based on Attributes and External Knowledge. TPAMI, 2017. 

— Peng Wang, Chunhua Shen, Anton van den Hengel, Philip H. S. Torr. Large-scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications. TPAMI, 2016.

— Peng Wang, Chunhua Shen, Anton van den Hengel, Philip H. S. Torr. Efficient Semidefinite Branch-and-for MAP-MRF Inference. IJCV, 2016. 

— Chunhua Shen, Peng Wang, Sakrapee Paisitkriangkrai, Anton van den Hengel. Training Effective Node Classifiers for Cascade Classification. IJCV, 2013.

— Chunhua Shen, Peng Wang, Fumin Shen and Hanzi Wang. UBoost: Boosting with the Universum. TPAMI, 2012. 

Selected Conference Papers

— Qi Wu, Peng Wang, Chunhua Shen, Ian Reid, Anton van den Hengel. Are You talking to Me? Reasoned Visual Dialog Generation through Adversarial LearningCVPR, 2018. 

— Hui Li*, Peng Wang*, Chunhua Shen. Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks. ICCV, 2017. 

— Peng Wang*, Qi Wu*, Chunhua Shen, Anthony Dick, Anton van den Hengel. Explicit Knowledge-based Reasoning for Visual Question Answering. IJCAI, 2017. (*=equal contribution)

— Peng Wang*, Qi Wu*, Chunhua Shen, Anton van den Hengel. The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Question. CVPR, 2017. (*=equal contribution) 

— Qi Wu, Peng Wang, Chunhua Shen, Anton van den Hengel, Anthoney Dick. Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources. CVPR, 2016.

— Peng Wang, Chunhua Shen, Anton van den Hengel. Efficient SDP Inference for Fully-connected CRFs based on Low-rank Decomposition. CVPR, 2015.

— Peng Wang, Chunhua Shen, Anton van den Hengel. A Fast Semidefinite Approach to Solving Binary Quadratic Problems. CVPR, 2013. [Oral]

— Chunhua Shen, Peng Wang, and Hanxi Li. LACBoost and FisherBoost: Optimally Building Cascade Classifiers. ECCV, 2010.