Selected Publications

Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu

Learning to Prompt for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Ziwei Liu, Chen Change Loy

GIST: Distributed Training for Large-Scale Graph Convolutional Networks
Cameron R Wolfe*, Jingkang Yang*, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis

Semantically Coherent Out-of-Detection Detection
Jingkang Yang, Haoqi Wang, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang, Ziwei Liu
Accepted by International Conference on Computer Vision (ICCV), 2021.

Learning Image Classifier from Only Web Labels and Metadata: Automatic Label Correction through Graph
Jingkang Yang, Weirong Chen, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang
Accepted by ACM Multimedia (ACM MM), 2020. (Oral Paper)

Webly Supervised Image Classification with Self-Contained Confidence
Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng, Ping Luo, Wayne Zhang
Accepted by European Conference on Computer Vision (ECCV), 2020.

Deep Mixed Model for Marginal Epistasis Detection and Population Stratification Correction in Genome-Wide Association Studies
Haohan Wang, Tianwei Yue, Jingkang Yang, Wei Wu, Eric P. Xing
Accepted by BMC Bioinformatics, 2019.

Enhancing Geometric Deep Learning Via Graph Filter Deconvolution
Jingkang Yang, Santiago Segarra
Accepted by Global Conference on Signal and Information Processing (GlobalSIP), 2018.