News

Brief Updates by Time

[Or, Click to Jump to the Press Release]

2019 (so far)

November 2019

    • 2 AAAI'20 (fine-grained dynamic inference + out-of-distribution detection) accepted
    • Received the Engineering Genesis Award for Multidisciplinary Research from TAMU
    • Invited Talks at: (1) Google Research, Mountain View, CA; (2) Machine Learning Center, Georgia Institute of Technology; (3) ECE Interdisciplinary Distinguished Seminar, North Carolina State University.
    • ICML'20 TPC

October 2019

    • Invited Talks at: (1) ECE Department, Rice University; (2) ECE Department, New York University; (3) Courant Institute of Mathematical Sciences, New York University; (4) ESE Department, University of Pennsylvania; (5) Biomedical Imaging & CS Departments, Yale University.
    • Appointed as Associate Editor of IET Computer Vision (IF = 1.65)
    • Co-organized the ICCV 2019 RLQ Workshop
    • Will co-organize the CVPR 2020 UG2+ Workshop and Prize Challenge

September 2019

    • 3 NeurIPS'19 (efficient CNN training + adversarial robustness in model compression + Bayesian learning-to-optimize) + 2 WACV'20 (domain generalization in ReID + video deblurring) + 1 ICCV'19 workshop (person search by language) accepted
    • Invited Talks at: (1) ECE Department, University of Illinois at Urbana-Champaign; (2) IBM AI Research Week 2019, AI Systems Day; (3) ECE Department, Northeastern University
    • CVPR'20 TPC

Aug 2019

July 2019

    • 5 ICCV'19 (text style transfer [oral] + UAV object detection + AutoGAN + person ReID + fast deblurring) accepted
    • Invited to participate in Microsoft Research Faculty Summit 2019
    • Invited Talks at: (1) Kuaishou AI Lab, Seattle, WA; (2) Alibaba AI Lab, Seattle, WA; (3) Wormpex AI Research, Seattle, WA; (4) NEC Labs America, San Jose, CA; (5) Facebook Research, Menlo Park, CA.
    • Will co-organize NeurIPS 2019 HADR Workshop
    • Co-organized the ICIP 2019 Grand Challenge
    • ICLR'20 TPC

June 2019

    • 1 MICCAI'19 (unsupervised CT image segmentation) + 1 Surgical Infections (clinical collaboration paper, on skin image segmentation) accepted
    • Released PA-HMDB51 dataset: the first large-scale benchmark on privacy-preserving video recognition
    • Co-organized the CVPR 2019 UG2+ Workshop and Prize Challenge
    • WACV'20 Area Chair

May 2019

    • 2 ICML'19 workshop (uncertainty quantification, for auto driving, and for mobile sensing) + 2 CVPR'19 workshop (underwater image enhancement, and deep learning to segment Arctic Wetland) accepted

April 2019

March 2019

    • 1 IEEE Trans. Medical Imaging (sparse CT reconstruction) + 1 IEEE Trans. Image Processing (connecting denoising to segmentation) accepted
    • Released MPID dataset: the first large-scale deraining benchmark.

February 2019

    • 2 CVPR'19 (high-resolution segmentation [oral] + MPID deraining benchmark) + 1 Bioinformatics (CNN-RNN for protein unfolding) + 1 IEEE Trans. CSVT (faster sparse coding) + 1 ICASSP'19 (GAN data augmentation) accepted
    • ICIP'19 Area Chair, ICCV'19 + NeurIPS'19 TPC

January 2019

    • 1 Remote Sensing (CNN-RNN for hyperspectral classification) + 2 MIPR'19 (invited papers) accepted
    • Invited Talks at: (1) (as a co-organizer) NSF/AAAI AI for natural disaster workshop, Hilo, HI; (2) ARL Workshop on Holistic Scene Understanding, Austin, TX


2018

December 2018

    • 1 ICLR'19 (deep learning for sparse coding [highest score]) + 1 AISTATS'19 (uncertainty quantification) accepted

November 2018

    • Appointed as Associate Editor of Springer-Nature Cognitive Computation (IF = 3.44)
    • CVPR'19 + ICML'19 + IJCAI'19 TPC
    • Invited Talk at: (as a co-organizer) TAMU Deep Learning workshop

October 2018

    • 1 IEEE Trans. Image Processing (low-quality visual recognition) + 1 NeurIPS'18 workshop (energy-aware inference) accepted

September 2018

    • 2 NeurIPS'18 (deep learning for sparse coding [spotlight oral] + CNN orthogonality regularization) accepted
    • ICME'19 Area Chair
    • Invited Talks at: (1) Artificial Intelligence in Medicine Seminar Series, University of Texas Southwestern Medical Center (UTSW); (2) CS@Stevens Institute of Technology; (3) TAMU ECE ISS Seminar

August 2018

July 2018

    • 1 ECCV'18 (privacy-preserving visual recognition) + 1 IEEE Trans. Image Processing (RESIDE dehazing benchmark)+ 1 ACM MM'18 (tech demo: music visualization) accepted
    • My team won the 2nd prize in ECCV 2018 ChaLearn Challenge Track 3
    • Co-organized ICML/IJCAI'18 joint BOOM workshop

June 2018

    • 1 IISE Trans. Healthcare Systems Engineering (depression detection from multi-modal signals) accepted
    • Invited short course on deep learning /computer vision, University of São Paulo, Brazil.
    • Invited talks at Italy: i) the "Data-Driven Approaches in Imaging Science" Minisymposium, SIAM Imaging Science Conference, Bologna; ii) Dept. of Information Engineering and Computer Science, University of Trento.

May 2018

    • 1 ICML'18 (CNN compression) + 1 KDD'18 (long oral: subspace deep network) accepted
    • Received NSF CRII award
    • My team won the CVPR 2018 UG2 Prize Challenge
    • WACV'19 Area Chair, AAAI'19 + MIPR'19 + ICDM'18 + ACCV'18 TPC
    • Co-organized FG'18 FOR-LQ workshop

April 2018

    • 1 IJCAI'18 (image denoising) accepted
    • Invited talks at: (1) the Machine Learning Seminar Series, Michigan State University; (2) Walmart Tech, Dallas.
    • Released RESIDE dataset: the first large-scale dehazing benchmark.
    • Co-organized the first image dehazing challenge on China MM'18.

March 2018

    • 1 IEEE Trans. Image Processing (video super resolution) + 2 AAIC'18 (Alzheimer's disease prediction) accepted
    • ACM MM'18 + MICCAI'18 TPC
    • Invited talks at: (1) University of Maryland, College Park, MD; (2) US Army Research Lab, Adelphi, MD; (3) TAMU HRPC Computational and Data Science Seminar.
    • A book where I co-authored a chapter on font recognition became available online.

February 2018

    • Invited Talk at: Samsung Research America, Dallas, TX.

January 2018

    • IJCAI'18 + ICIP'18 + IJCNN'18 + ICME'18 TPC
    • Invited Talk at: Bell Labs, Murray Hills, NJ


2017

December 2017

    • Invited Talks at: (1) Rice University ECE seminar; (2) University of Houston ECE seminar
    • VCIP'17 special session chair

November 2017

    • 1 AAAI'18 (video dehazing) accepted
    • Won the Lenovo AI Innovation Award, and gave an invited talk at the Supercomputing (SC) 2017 conference, Denver, CO.

October 2017

    • Invited Presentation at CCC Symposium: "Computing Research: Addressing National Priorities and Societal Needs 2017", Washington, DC.
    • CVPR'18 TPC
    • Co-organized ICCV'17 AMFG workshop

September 2017

    • Invited Talks at: (1) ECE CESG Seminar; (2) CSCE Graduate Seminar; (3) ECE Bio-Seminar

August 2017

    • Start at Texas A&M!
    • Received the ICCV 2017 Young Researcher Travel Award
    • MIPR'18 + PAKDD'18 TPC

July 2017

    • 2 ICCV'17 (video super resolution + image dehazing) + 1 ACII'17 (low-resolution expression recognition) accepted
    • CVPR'17 Tutorial on robust computer vision [video record]
    • Co-organized IJCAI'17 BOOM workshop

June 2017

    • 1 BMVC'17 (unsupervised hashing) accepted
    • AAAI'18 TPC
    • Invited talk at: Banner Alzheimer's Institute, Phoenix, AZ

May 2017

    • 1 IEEE Trans. Image Processing (multi-object tracking) + 1 CVPR'17 workshop (super resolution) + 1 ICIP'17 (CT image super resolution) accepted

April 2017

    • 1 IJCAI'17 (deep learning for sparse coding) accepted

March 2017

    • ICIP'17 Area Chair, ACM MM'17 + VCIP'17 TPC

February 2017

    • 1 IJCNN'17 (brain-inspired aesthetics assessment) accepted
    • Finalist of the UW Amazon Catalyst Innovation Award


2016 and before

(Please see full details in the CV)


Media Coverage (after 09/2017)

Earlier media coverage could be found in the CV.

To Come ...


To Come ...


Wang receives two NSF grants to make smart technology even smarter

TAMU Engineering News

Automatically Finding the Best Neural Network for your GAN

Towards Data Science

AutoML + GAN = AutoGAN! AI Can Now Design Better GAN Models Than Humans

Synced AI Technology & Industry Review

Texas A&M researchers partner with MoodMe to enhance facial analysis

TAMU Engineering News

Researchers receive grant to map human-induced deforestation in river landscapes

TAMU Engineering News

Smart Home? Adversarial Machine Learning Could Protect Your Privacy

Adobe Research News

A&M researchers partner with Walmart on artificial intelligence technology

The Battalion

Doctoral students win Computer Vision and Pattern Recognition Prize Challenge

TAMU Engineering News

How Artificial Intelligence will Affect Opportunity

The Battalion

Wang presents at Lenovo AI Innovation Challenge and Computing Community Consortium

TAMU Engineering News