Jingkang Yang

According to our database, Jingkang Yang authored at least 38 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models.

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa

CoRR, 2024

Towards Language-Driven Video Inpainting via Multimodal Large Language Models.

Jianzong Wu, Xiangtai Li, Chenyang Si, Shangchen Zhou, Jingkang Yang, Jiangning Zhang, Yining Li, Kai Chen, Yunhai Tong, Ziwei Liu, Chen Change Loy

CoRR, 2024

2023

Full-Spectrum Out-of-Distribution Detection.

Jingkang Yang, Kaiyang Zhou, Ziwei Liu

Int. J. Comput. Vis., October, 2023

PPRT: Privacy Preserving and Reliable Trust-Aware Platoon Recommendation Scheme in IoV.

Hongyuan Cheng, Xianchao Zhang, Jingkang Yang, Yi-Ning Liu

IEEE Syst. J., September, 2023

PPUP-GAN: A GAN-based privacy-protecting method for aerial photography.

Zhexin Yao, Qiuming Liu, Jingkang Yang, Yanan Chen, Zhen Wu

Future Gener. Comput. Syst., August, 2023

VFAS: Reliable and Privacy-Preserving V2F Authentication Scheme for Road Condition Monitoring System in IoV.

Hongyuan Cheng, Jingkang Yang, Mohammad Shojafar, Jianyu Cao, Nan Jiang, Yi-Ning Liu

IEEE Trans. Veh. Technol., June, 2023

Dummy trajectory generation scheme based on generative adversarial networks.

Jingkang Yang, Xiaobo Yu, Weizhi Meng, Yining Liu

Neural Comput. Appl., April, 2023

OtterHD: A High-Resolution Multi-modality Model.

Bo Li, Peiyuan Zhang, Jingkang Yang, Yuanhan Zhang, Fanyi Pu, Ziwei Liu

CoRR, 2023

Octopus: Embodied Vision-Language Programmer from Environmental Feedback.

Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, Chencheng Jiang, Haoran Tan, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu

CoRR, 2023

Pair then Relation: Pair-Net for Panoptic Scene Graph Generation.

Jinghao Wang, Zhengyu Wen, Xiangtai Li, Zujin Guo, Jingkang Yang, Ziwei Liu

CoRR, 2023

FunQA: Towards Surprising Video Comprehension.

Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu

CoRR, 2023

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.

Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

CoRR, 2023

MIMIC-IT: Multi-Modal In-Context Instruction Tuning.

Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Fanyi Pu, Jingkang Yang, Chunyuan Li, Ziwei Liu

CoRR, 2023

SAD: Segment Any RGBD.

Jun Cen, Yizheng Wu, Kewei Wang, Xingyi Li, Jingkang Yang, Yixuan Pei, Lingdong Kong, Ziwei Liu, Qifeng Chen

CoRR, 2023

Otter: A Multi-Modal Model with In-Context Instruction Tuning.

Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Jingkang Yang, Ziwei Liu

CoRR, 2023

4D Panoptic Scene Graph Generation.

Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large Language Models are Visual Reasoning Coordinators.

Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sparse Mixture-of-Experts are Domain Generalizable Learners.

Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Panoptic Video Scene Graph Generation.

Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning to Prompt for Vision-Language Models.

Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu

Int. J. Comput. Vis., 2022

On-Device Domain Generalization.

Kaiyang Zhou, Yuanhan Zhang, Yuhang Zang, Jingkang Yang, Chen Change Loy, Ziwei Liu

CoRR, 2022

Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners.

Bo Li, Jingkang Yang, Jiawei Ren, Yezhen Wang, Ziwei Liu

CoRR, 2022

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.

Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Panoptic Scene Graph Generation.

Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Conditional Prompt Learning for Vision-Language Models.

Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Generalized Out-of-Distribution Detection: A Survey.

Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu

CoRR, 2021

Progressive Representative Labeling for Deep Semi-Supervised Learning.

Xiaopeng Yan, Riquan Chen, Litong Feng, Jingkang Yang, Huabin Zheng, Wayne Zhang

CoRR, 2021

GIST: Distributed Training for Large-Scale Graph Convolutional Networks.

Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis

CoRR, 2021

Semantically Coherent Out-of-Distribution Detection.

Jingkang Yang, Haoqi Wang, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang, Ziwei Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network.

Mincai Lai, Guangyao Chen, Haochen Yang, Jingkang Yang, Zhihao Jiang, Min Wu, Jie Zheng

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph.

Jingkang Yang, Weirong Chen, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Webly Supervised Image Classification with Self-contained Confidence.

Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng, Ping Luo, Wayne Zhang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

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

BMC Bioinform., 2019

Dummy Trajectory Generation Scheme Based on Deep Learning.

Jiaji Pan, Jingkang Yang, Yining Liu

Proceedings of the Cyberspace Safety and Security - 11th International Symposium, 2019

2018

Enhancing Geometric Deep Learning via Graph Filter Deconvolution.

Jingkang Yang, Santiago Segarra

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2016

SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data.

Jingkang Yang, Haohan Wang, Jun Zhu, Eric P. Xing

CoRR, 2016

Multiple confounders correction with regularized linear mixed effect models, with application in biological processes.

Haohan Wang, Jingkang Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Principal Component Analysis and Clustering Based Indoor Localizaion.

Dong Liang, Jingkang Yang, Rui Xuan, Zhaojing Zhang, Zhifang Yang, Kexin Shi

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015