Jingkang Yang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Authentication Scheme

Codebook Generation

Top Venues

Int. J. Comput. Vis.

Publications

Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu
4D Panoptic Scene Graph Generation. CoRR (2024)
Yuanhan Zhang, Kaichen Zhang, Bo Li, Fanyi Pu, Christopher Arif Setiadharma, Jingkang Yang, Ziwei Liu
WorldQA: Multimodal World Knowledge in Videos through Long-Chain Reasoning. CoRR (2024)
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. CoRR (2024)
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. CoRR (2024)
Peiyuan Zhang, Kaichen Zhang, Bo Li, Guangtao Zeng, Jingkang Yang, Yuanhan Zhang, Ziyue Wang, Haoran Tan, Chunyuan Li, Ziwei Liu
Long Context Transfer from Language to Vision. CoRR (2024)
Kaichen Zhang, Bo Li, Peiyuan Zhang, Fanyi Pu, Joshua Adrian Cahyono, Kairui Hu, Shuai Liu, Yuanhan Zhang, Jingkang Yang, Chunyuan Li, Ziwei Liu
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models. CoRR (2024)
Jianzong Wu, Xiangtai Li, Chenyang Si, Shangchen Zhou, Jingkang Yang, Jiangning Zhang, Yining Li, Kai Chen, Yunhai Tong, Ziwei Liu, Chen Change Loy
Towards Language-Driven Video Inpainting via Multimodal Large Language Models. CoRR (2024)
Jinghao Wang, Zhengyu Wen, Xiangtai Li, Zujin Guo, Jingkang Yang, Ziwei Liu
Pair then Relation: Pair-Net for Panoptic Scene Graph Generation. CoRR (2023)
Jingkang Yang, Jun Cen, Wenxuan Peng, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu
4D Panoptic Scene Graph Generation. NeurIPS (2023)
Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Jingkang Yang, Ziwei Liu
Otter: A Multi-Modal Model with In-Context Instruction Tuning. CoRR (2023)
Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, Chencheng Jiang, Haoran Tan, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
Octopus: Embodied Vision-Language Programmer from Environmental Feedback. CoRR (2023)
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
Large Language Models are Visual Reasoning Coordinators. NeurIPS (2023)
Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu
Sparse Mixture-of-Experts are Domain Generalizable Learners. ICLR (2023)
Jingkang Yang, Kaiyang Zhou, Ziwei Liu
Full-Spectrum Out-of-Distribution Detection. Int. J. Comput. Vis. 131 (10) (2023)
Hongyuan Cheng, Jingkang Yang, Mohammad Shojafar, Jianyu Cao, Nan Jiang, Yi-Ning Liu
VFAS: Reliable and Privacy-Preserving V2F Authentication Scheme for Road Condition Monitoring System in IoV. IEEE Trans. Veh. Technol. 72 (6) (2023)
Zhexin Yao, Qiuming Liu, Jingkang Yang, Yanan Chen, Zhen Wu
PPUP-GAN: A GAN-based privacy-protecting method for aerial photography. Future Gener. Comput. Syst. 145 (2023)
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
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection. CoRR (2023)
Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu
Panoptic Video Scene Graph Generation. CVPR (2023)
Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu
Panoptic Video Scene Graph Generation. CoRR (2023)
Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu
FunQA: Towards Surprising Video Comprehension. CoRR (2023)
Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Fanyi Pu, Jingkang Yang, Chunyuan Li, Ziwei Liu
MIMIC-IT: Multi-Modal In-Context Instruction Tuning. CoRR (2023)
Bo Li, Peiyuan Zhang, Jingkang Yang, Yuanhan Zhang, Fanyi Pu, Ziwei Liu
OtterHD: A High-Resolution Multi-modality Model. CoRR (2023)
Hongyuan Cheng, Xianchao Zhang, Jingkang Yang, Yi-Ning Liu
PPRT: Privacy Preserving and Reliable Trust-Aware Platoon Recommendation Scheme in IoV. IEEE Syst. J. 17 (3) (2023)
Jingkang Yang, Xiaobo Yu, Weizhi Meng, Yining Liu
Dummy trajectory generation scheme based on generative adversarial networks. Neural Comput. Appl. 35 (11) (2023)
Jun Cen, Yizheng Wu, Kewei Wang, Xingyi Li, Jingkang Yang, Yixuan Pei, Lingdong Kong, Ziwei Liu, Qifeng Chen
SAD: Segment Any RGBD. CoRR (2023)
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
Large Language Models are Visual Reasoning Coordinators. CoRR (2023)
Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu
Panoptic Scene Graph Generation. ECCV (27) (2022)
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu
Conditional Prompt Learning for Vision-Language Models. CVPR (2022)
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu
Learning to Prompt for Vision-Language Models. Int. J. Comput. Vis. 130 (9) (2022)
Bo Li, Jingkang Yang, Jiawei Ren, Yezhen Wang, Ziwei Liu
Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners. CoRR (2022)
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
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. NeurIPS (2022)
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
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. CoRR (2022)
Jingkang Yang, Kaiyang Zhou, Ziwei Liu
Full-Spectrum Out-of-Distribution Detection. CoRR (2022)
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu
Conditional Prompt Learning for Vision-Language Models. CoRR (2022)
Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu
Panoptic Scene Graph Generation. CoRR (2022)
Kaiyang Zhou, Yuanhan Zhang, Yuhang Zang, Jingkang Yang, Chen Change Loy, Ziwei Liu
On-Device Domain Generalization. CoRR (2022)
Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu
Generalized Out-of-Distribution Detection: A Survey. CoRR (2021)
Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis
GIST: Distributed Training for Large-Scale Graph Convolutional Networks. CoRR (2021)
Jingkang Yang, Haoqi Wang, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang, Ziwei Liu
Semantically Coherent Out-of-Distribution Detection. CoRR (2021)
Xiaopeng Yan, Riquan Chen, Litong Feng, Jingkang Yang, Huabin Zheng, Wayne Zhang
Progressive Representative Labeling for Deep Semi-Supervised Learning. CoRR (2021)
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu
Learning to Prompt for Vision-Language Models. CoRR (2021)
Mincai Lai, Guangyao Chen, Haochen Yang, Jingkang Yang, Zhihao Jiang, Min Wu, Jie Zheng
Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network. EMBC (2021)
Jingkang Yang, Haoqi Wang, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang, Ziwei Liu
Semantically Coherent Out-of-Distribution Detection. ICCV (2021)
Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng, Ping Luo, Wayne Zhang
Webly Supervised Image Classification with Self-Contained Confidence. CoRR (2020)
Jingkang Yang, Weirong Chen, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph. ACM Multimedia (2020)
Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng, Ping Luo, Wayne Zhang
Webly Supervised Image Classification with Self-contained Confidence. ECCV (8) (2020)
Jingkang Yang, Weirong Chen, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph. CoRR (2020)
Haohan Wang, Tianwei Yue, Jingkang Yang, Wei Wu, Eric P. Xing
Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies. BMC Bioinform. (23) (2019)
Jiaji Pan, Jingkang Yang, Yining Liu
Dummy Trajectory Generation Scheme Based on Deep Learning. CSS (2) (2019)
Jingkang Yang, Santiago Segarra
Enhancing Geometric Deep Learning via Graph Filter Deconvolution. GlobalSIP (2018)
Haohan Wang, Jingkang Yang
Multiple confounders correction with regularized linear mixed effect models, with application in biological processes. BIBM (2016)
Jingkang Yang, Haohan Wang, Jun Zhu, Eric P. Xing
SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data. CoRR (2016)
Dong Liang, Jingkang Yang, Rui Xuan, Zhaojing Zhang, Zhifang Yang, Kexin Shi
Principal Component Analysis and Clustering Based Indoor Localizaion. ICDM Workshops (2015)