Wenqi Wang (王文麒)

I received my Ph.D. degree from School of Industrial Engineering at Purdue University in 2018, under the supervision of Prof. Vaneet Aggarwal. Before that I obtained my B.S. from Department of Physics at Fudan University in 2013, supervised by Prof. Yuanbo Zhang. In the fall of 2012, I was an exchanging student at University of California, Berkeley. My research is about multi-dimensional data and its applications in machine learning and deep learning. Contact information Grissom Hall 365A 315 N. Grant Street West Lafayette, IN, 47907, U.S. E-mail: wang2041 at purdue dot edu

Publication

[1] Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang and Lawrence Carin, "Graph-Driven Generative Models for Heterogeneous Multi-Task Learning" Proc. AAAI Conference on Artificial Intelligence (AAAI), 2020 [PDF] (Spotlight)

[2] Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin, "An Optimal Transport Framework for Zero-Shot Learning" NeurIPS Workshop, 2019 [PDF]

[3] Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron, "Principal Component Analysis with Tensor Train Subspace", Pattern Recognition Letters, Volume 122, Pages 86-91, May 1, 2019 [Journal PDF]

[4] Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal, "Wide Compression: Tensor Ring Nets" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [PDF]

[5] Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin "Topic Compositional Neural Language Model" Artificial Intelligence and Statistics (AISTATS), 2018 [PDF]

[6] Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron, "Tensor Train Neighborhood Preserving Embedding" IEEE Transactions on Signal Processing, Volume:66, Issue:10, May 15, 2018 [Journal PDF] [Code]

[7] Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron, "Efficient Low Rank Tensor Ring Completion" IEEE International Conference on Computer Vision (ICCV), 2017 [PDF] [Code]

[8] Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron, "Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model" (arXiv:1609.05587) [PDF]

[9] Wenlin Wang, Changyou Chen, Wenqi Wang, Piyush Rai, Lawrence Carin, "Earliness-Aware Deep Convolutional Networks for Early Time Series Classification" (arXiv:1611.04578) [PDF]

[10] Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron, "Unsupervised Clustering Under the Union of Polyhedral Cones (UOPC) Model", Pattern Recognition Letters, Volume 100, 1 December 2017, Pages 104-109 [Journal PDF] [Code]

[11] Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal, "On Deterministic Conditions for Subspace Clustering Under Missing Data" IEEE International Symposium on Information Theory (ISIT), 2016 [PDF] [Journal PDF]

[12] Yaowu Hu, Seunghyun Lee, Prashant Kumar, Qiong Nian, Wenqi Wang, Joseph Irudayaraj and Gary J. Cheng. "Water flattens graphene wrinkles: laser shock wrapping of graphene onto substrate-supported crystalline plasmonic nanoparticle arrays". Nanoscale, 2015 (Selected Front Covering page) [PDF]

[13] Dong Lin, Qiong Nian, Biwei Deng, Shengyu Jin, Yaowu Hu, Wenqi Wang, and Gary J. Cheng. "Three-Dimensional Printing of Complex Structures: Man Made or toward Nature?"" ACS Nano , 2014 (Perspective) [PDF]

[14] Y. L. Chen, Y. J. Ma, D. D. Chen, W. Q. Wang, K. Ding, Q. Wu, Y. L. Fan, X. J. Yang, Z. Y. Zhong, F. Xu, and Z. M. Jiang. "Effect of graphene on photoluminescence properties of graphene/GeSi quantum dot hybrid structures". Appl. Phys. Lett.( APL), 2014 [PDF]

Professional Services

WACV 2021, CVPR 2019/2020, ECCV 2020, AAAI 2020, ICML 2020, ICCV 2019

IEEE Transactions on Signal Processing Reviewer

Signal Processing: Image Communication Reviewer

Honors & Awards

Bilsland Dissertation Fellowship 2017-2018, Purdue University.

TOSHIBA Scholarship 2012-2013, Fudan University.

National Mount Everest Program Fellowship 2012-2013, Fudan University.

Experience

[1] Research Scientist(Ads Ranking), Facebook, Seattle, WA, USA (09/2018 - Present)

[2] Research Intern, Technicolor Research AI Lab, Los Altos, CA, USA (06/2017 - 09/2017)

[3] Investment Analyst Intern, Frees Fund, Beijing, China (12/2016 - 01/2017)

[4] Teaching Assistant, Stochastic Process, Purdue University , IN, USA (08/2015-05/2017)