Jingkang Yang
Jingkang Yang
Other names杨靖康
PhD Candidate, MMLab@NTU
Verified email at - Homepage
Cited by
Cited by
Learning to prompt for vision-language models
K Zhou, J Yang, CC Loy, Z Liu
International Journal of Computer Vision (IJCV), 2022
Conditional Prompt Learning for Vision-Language Models
K Zhou, J Yang, CC Loy, Z Liu
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Generalized Out-of-Distribution Detection: A Survey
J Yang, K Zhou, Y Li, Z Liu
International Journal of Computer Vision (IJCV), 2024
Mimic-it: Multi-modal in-context instruction tuning
B Li, Y Zhang, L Chen, J Wang, F Pu, J Yang, C Li, Z Liu
arXiv preprint arXiv:2306.05425, 2023
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
J Yang, P Wang, D Zou, Z Zhou, K Ding, W Peng, H Wang, G Chen, B Li, ...
NeurIPS'22 Datasets and Benchmarks Track, 2022
Semantically Coherent Out-of-Distribution Detection
J Yang, H Wang, L Feng, X Yan, H Zheng, W Zhang, Z Liu
The IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Panoptic Scene Graph Generation
J Yang, Y Zhe Ang, Z Guo, K Zhou, W Zhang, Z Liu
European Conference on Computer Vision (ECCV), 2022
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
J Zhang, J Yang, P Wang, H Wang, Y Lin, H Zhang, Y Sun, X Du, K Zhou, ...
arXiv preprint arXiv:2306.09301, 2023
Sparse Mixture-of-Experts are Domain Generalizable Learners
B Li, Y Shen, J Yang, Y Wang, J Ren, T Che, J Zhang, Z Liu
ICLR 2023, 2022
Full-spectrum out-of-distribution detection
J Yang, K Zhou, Z Liu
International Journal of Computer Vision 131 (10), 2607-2622, 2023
Large language models are visual reasoning coordinators
L Chen, B Li, S Shen, J Yang, C Li, K Keutzer, T Darrell, Z Liu
NeurIPS 2023, 2023
Octopus: Embodied vision-language programmer from environmental feedback
J Yang, Y Dong, S Liu, B Li, Z Wang, C Jiang, H Tan, J Kang, Y Zhang, ...
arXiv preprint arXiv:2310.08588, 2023
Panoptic video scene graph generation
J Yang, W Peng, X Li, Z Guo, L Chen, B Li, Z Ma, K Zhou, W Zhang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies
H Wang, T Yue, J Yang, W Wu, EP Xing
BMC bioinformatics 20, 1-11, 2019
Webly supervised image classification with self-contained confidence
J Yang, L Feng, W Chen, X Yan, H Zheng, P Luo, W Zhang
European Conference on Computer Vision (ECCV), 2020
Otterhd: A high-resolution multi-modality model
B Li, P Zhang, J Yang, Y Zhang, F Pu, Z Liu
arXiv preprint arXiv:2311.04219, 2023
Multiple confounders correction with regularized linear mixed effect models, with application in biological processes
H Wang, J Yang
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016
Webly supervised image classification with metadata: Automatic noisy label correction via visual-semantic graph
J Yang, W Chen, L Feng, X Yan, H Zheng, W Zhang
ACM International Conference on Multimedia, 83-91, 2020
Enhancing geometric deep learning via graph filter deconvolution
J Yang, S Segarra
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 758-762, 2018
GIST: Distributed training for large-scale graph convolutional networks
CR Wolfe, J Yang, F Liao, A Chowdhury, C Dun, A Bayer, S Segarra, ...
Journal of Applied and Computational Topology, 1-53, 2023
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