2020 (so far)
3 ECCV'20 (GAN compression + sketch-to-image synthesis + on-device learning-to-optimize) accepted
6 ICML'20 (AutoML domain generalization + noisy label training + self-supervised GCN + DNN optimization + GAN compression + NAS for Bayesian models) accepted
Invited Talk at IBM Research Cambridge (Webinar)
Co-organized the CVPR 2020 UG2+ Workshop and Prize Challenge
1 IEEE Trans. PAMI (image enhancement for visual understanding) + 1 IEEE Trans. Mobile Computing (adaptive model compression) accepted
2 CVPR'20 workshop (efficient triplet loss + fine-grained classification) accepted
Received US Army Research Office Young Investigator Award (ARO YIP)
Received IBM Faculty Research Award
Received AWS Machine Learning Research Award
Received Microsoft AI for Earth Grant
1 ISCA'20 (algorithm-hardware co-design to reduce data movement) accepted
Awarded as TEES Young Faculty Fellow by TAMU, for impactful research
A Memorable Career Point: First Ph.D. student Ye Yuan will graduate this summer and join ByteDance AI Lab, Silicon Valley, as a full-time researcher.
3 CVPR'20 (self-supervised adversarial robustness + fast GCN training + indoor scene reasoning [Oral]) + 1 IEEE Trans. Image Processing (visual understanding in poor-visibility environments) accepted
Invited Talks at: (1) ARM ML Research Lab, Austin, TX; (2) TAMU ECE Department Seminar.
Will co-organize the ECCV 2020 RLQ-TOD Workshop and Prize Challenge
Will co-organize the IJCAI 2020 BOOM Workshop
Honored to serve as a program chair of SIBGRAPI 2020 (Brazil's national annual conference on Computer Graphics and Image Processing)! Thanks to friends in the south :)
1 AISTATS'20 (CNN uncertainty quantification) + 1 IEEE Trans. CSVT (GAN data augmentation) accepted
ICIP'20 Area Chair, MICCAI'20 + ACM MM'20+ MIDL'20 TPC
4 ICLR'20 (FasterSeg + MAD model comparison + early-bird tickets + triple-win) + 1 IEEE JSTSP (CNN dual dynamic inference) + 1 AAAI'20 workshop (ML safety) accepted
Appointed as Associate Editor of IEEE Trans. CSVT (IF = 4.046)
Co-organized the NeurIPS 2019 HADR Workshop
Co-organized the 2nd TAMU Deep Learning workshop
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 + ECCV'20 + IJCAI'20 TPC
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
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
1 IEEE Trans. CSVT (deep Frank-Wolfe unfolding) accepted
Invited short course on deep learning, São Paulo Summer School of Advanced Science on Learning from Data, Brazil.
Invited Talks at: (1) Adobe Research, San Jose, CA; (2) Google Research, Mountain View, CA.
Our team (with Walmart colleagues) won 3rd prize in ICCV'19 WIDER Person Search by Language Challenge
Co-organized the IJCAI 2019 BOOM Workshop
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.
Co-organized the ICIP 2019 Grand Challenge
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
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
1 ICML'19 (learning-based plug-and-play optimization) accepted
My 2nd book Deep Learning through Sparse and Low-Rank Modeling (Elsevier CVPR series) becomes available online
Invited Talk at ECE Department, University of Maryland, College Park, MD
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.
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
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
1 ICLR'19 (deep learning for sparse coding [highest score]) + 1 AISTATS'19 (uncertainty quantification) accepted
Appointed as Associate Editor of Springer-Nature Cognitive Computation (IF = 3.44)
CVPR'19 + ICML'19 + IJCAI'19 TPC
Co-organized the 1st TAMU Deep Learning workshop
1 IEEE Trans. Image Processing (low-quality visual recognition) + 1 NeurIPS'18 workshop (energy-aware inference) accepted
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
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.
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.
Invited Talk at Samsung Research America, Dallas, TX.
IJCAI'18 + ICIP'18 + IJCNN'18 + ICME'18 TPC
Invited Talk at Bell Labs, Murray Hills, NJ
Invited Talks at: (1) Rice University ECE seminar; (2) University of Houston ECE seminar
VCIP'17 special session chair
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.
Invited Talks at: (1) ECE CESG Seminar; (2) CSCE Graduate Seminar; (3) ECE Bio-Seminar
Start at Texas A&M!
Received the ICCV 2017 Young Researcher Travel Award
MIPR'18 + PAKDD'18 TPC
1 BMVC'17 (unsupervised hashing) accepted
Invited Talk at Banner Alzheimer's Institute, Phoenix, AZ
1 IEEE Trans. Image Processing (multi-object tracking) + 1 CVPR'17 workshop (super resolution) + 1 ICIP'17 (CT image super resolution) accepted
1 IJCAI'17 (deep learning for sparse coding) accepted
ICIP'17 Area Chair, ACM MM'17 + VCIP'17 TPC
1 IJCNN'17 (brain-inspired aesthetics assessment) accepted
Finalist of the UW Amazon Catalyst Innovation Award