Principal Component Analysis and Clustering Based Indoor Localizaion. - Dong Liang 010; Jingkang Yang; Rui Xuan; Zhaojing Zhang; Zhifang Yang; Kexin Shi (ICDM Workshops, 2015)

Multiple confounders correction with regularized linear mixed effect models, with application in biological processes. - Haohan Wang; Jingkang Yang (BIBM, 2016)

SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data. - Jingkang Yang; Haohan Wang; Jun Zhu 001; Eric P. Xing (CoRR, 2016)

Enhancing Geometric Deep Learning via Graph Filter Deconvolution. - Jingkang Yang; Santiago Segarra (GlobalSIP, 2018)

Dummy Trajectory Generation Scheme Based on Deep Learning. - Jiaji Pan; Jingkang Yang; Yining Liu 001 (CSS (2), 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 023; Eric P. Xing (BMC Bioinform., 2019)

Webly Supervised Image Classification with Self-contained Confidence. - Jingkang Yang; Litong Feng; Weirong Chen; Xiaopeng Yan; Huabin Zheng; Ping Luo 002; Wayne Zhang 001 (ECCV (8), 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 001 (ACM Multimedia, 2020)

Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network. - Mincai Lai; Guangyao Chen; Haochen Yang 002; Jingkang Yang; Zhihao Jiang; Min Wu 008; Jie Zheng 002 (EMBC, 2021)

Semantically Coherent Out-of-Distribution Detection. - Jingkang Yang; Haoqi Wang; Litong Feng; Xiaopeng Yan; Huabin Zheng; Wayne Zhang 001; Ziwei Liu 002 (ICCV, 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)

Progressive Representative Labeling for Deep Semi-Supervised Learning. - Xiaopeng Yan; Riquan Chen; Litong Feng; Jingkang Yang; Huabin Zheng; Wayne Zhang 001 (CoRR, 2021)

Conditional Prompt Learning for Vision-Language Models. - Kaiyang Zhou; Jingkang Yang; Chen Change Loy; Ziwei Liu 002 (CVPR, 2022)

Panoptic Scene Graph Generation. - Jingkang Yang; Yi Zhe Ang; Zujin Guo; Kaiyang Zhou; Wayne Zhang 001; Ziwei Liu 002 (ECCV (27), 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 080; Yiyou Sun; Xuefeng Du; Kaiyang Zhou; et al. (NeurIPS, 2022)

Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners. - Bo Li 080; Jingkang Yang; Jiawei Ren 001; Yezhen Wang; Ziwei Liu 002 (CoRR, 2022)

On-Device Domain Generalization. - Kaiyang Zhou; Yuanhan Zhang; Yuhang Zang; Jingkang Yang; Chen Change Loy; Ziwei Liu 002 (CoRR, 2022)

Learning to Prompt for Vision-Language Models. - Kaiyang Zhou; Jingkang Yang; Chen Change Loy; Ziwei Liu 002 (Int. J. Comput. Vis., 2022)

Panoptic Video Scene Graph Generation. - Jingkang Yang; Wenxuan Peng; Xiangtai Li; Zujin Guo; Liangyu Chen 005; Bo Li 080; Zheng Ma 008; Kaiyang Zhou; Wayne Zhang 001; Chen Change Loy; Ziwei Liu 002 (CVPR, 2023)

Sparse Mixture-of-Experts are Domain Generalizable Learners. - Bo Li 080; Yifei Shen; Jingkang Yang; Yezhen Wang; Jiawei Ren 001; Tong Che; Jun Zhang 004; Ziwei Liu 002 (ICLR, 2023)

Large Language Models are Visual Reasoning Coordinators. - Liangyu Chen 005; Bo Li 080; Sheng Shen 001; Jingkang Yang; Chunyuan Li; Kurt Keutzer; Trevor Darrell; Ziwei Liu 002 (NeurIPS, 2023)

4D Panoptic Scene Graph Generation. - Jingkang Yang; Jun Cen; Wenxuan Peng; Shuai Liu 002; Fangzhou Hong; Xiangtai Li; Kaiyang Zhou; Qifeng Chen; Ziwei Liu 002 (NeurIPS, 2023)

Otter: A Multi-Modal Model with In-Context Instruction Tuning. - Bo Li 080; Yuanhan Zhang; Liangyu Chen 005; Jinghao Wang; Jingkang Yang; Ziwei Liu 002 (CoRR, 2023)

SAD: Segment Any RGBD. - Jun Cen; Yizheng Wu; Kewei Wang 001; Xingyi Li; Jingkang Yang; Yixuan Pei; Lingdong Kong; Ziwei Liu 002; Qifeng Chen (CoRR, 2023)

MIMIC-IT: Multi-Modal In-Context Instruction Tuning. - Bo Li 080; Yuanhan Zhang; Liangyu Chen 005; Jinghao Wang; Fanyi Pu; Jingkang Yang; Chunyuan Li; Ziwei Liu 002 (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 001; Yixuan Li 001; Ziwei Liu 002; et al. (CoRR, 2023)

FunQA: Towards Surprising Video Comprehension. - Binzhu Xie; Sicheng Zhang; Zitang Zhou; Bo Li 080; Yuanhan Zhang; Jack Hessel; Jingkang Yang; Ziwei Liu 002 (CoRR, 2023)

OtterHD: A High-Resolution Multi-modality Model. - Bo Li 080; Peiyuan Zhang; Jingkang Yang; Yuanhan Zhang; Fanyi Pu; Ziwei Liu 002 (CoRR, 2023)

Dummy trajectory generation scheme based on generative adversarial networks. - Jingkang Yang; Xiaobo Yu; Weizhi Meng 001; Yining Liu 002 (Neural Comput. Appl., 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 013; Yi-Ning Liu 002 (IEEE Trans. Veh. Technol., 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., 2023)

PPRT: Privacy Preserving and Reliable Trust-Aware Platoon Recommendation Scheme in IoV. - Hongyuan Cheng; Xianchao Zhang 002; Jingkang Yang; Yi-Ning Liu 002 (IEEE Syst. J., 2023)

Full-Spectrum Out-of-Distribution Detection. - Jingkang Yang; Kaiyang Zhou; Ziwei Liu 002 (Int. J. Comput. Vis., 2023)

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 026; Yunhai Tong; Ziwei Liu 002; Chen Change Loy (CVPR, 2024)

[inline-graphic not available: see fulltext] FunQA: Towards Surprising Video Comprehension. - Binzhu Xie; Sicheng Zhang; Zitang Zhou; Bo Li 080; Yuanhan Zhang; Jack Hessel; Jingkang Yang; Ziwei Liu 002 (ECCV (1), 2024)

Octopus: Embodied Vision-Language Programmer from Environmental Feedback. - Jingkang Yang; Yuhao Dong; Shuai Liu 002; Bo Li 080; Ziyue Wang; Haoran Tan; Chencheng Jiang; Jiamu Kang; Yuanhan Zhang; Kaiyang Zhou; Ziwei Liu 002 (ECCV (1), 2024)

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Qing Yu; Go Irie; Yixuan Li 001; Hai Li 001; Ziwei Liu 002; Kiyoharu Aizawa (CoRR, 2024)

WorldQA: Multimodal World Knowledge in Videos through Long-Chain Reasoning. - Yuanhan Zhang; Kaichen Zhang; Bo Li 080; Fanyi Pu; Christopher Arif Setiadharma; Jingkang Yang; Ziwei Liu 002 (CoRR, 2024)

GIST: distributed training for large-scale graph convolutional networks. - Cameron R. Wolfe; Jingkang Yang; Fangshuo Liao; Arindam Chowdhury; Chen Dun; Artun Bayer; Santiago Segarra; Anastasios Kyrillidis (J. Appl. Comput. Topol., 2024)

Generalized Out-of-Distribution Detection: A Survey. - Jingkang Yang; Kaiyang Zhou; Yixuan Li 001; Ziwei Liu 002 (Int. J. Comput. Vis., 2024)

Pair Then Relation: Pair-Net for Panoptic Scene Graph Generation. - Jinghao Wang; Zhengyu Wen; Xiangtai Li; Zujin Guo; Jingkang Yang; Ziwei Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Qing Yu; Go Irie; Yixuan Li 001; Hai Helen Li; Ziwei Liu 002; Kiyoharu Aizawa (ACL (1), 2025)

Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models. - Yuhao Dong; Zuyan Liu; Hai-Long Sun; Jingkang Yang; Winston Hu; Yongming Rao; Ziwei Liu 002 (CVPR, 2025)

Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene. - Shengqiong Wu; Hao Fei 001; Jingkang Yang; Xiangtai Li; Juncheng Li 006; Hanwang Zhang; Tat-Seng Chua (CVPR, 2025)

EgoLife: Towards Egocentric Life Assistant. - Jingkang Yang; Shuai Liu 002; Hongming Guo; Yuhao Dong; Xiamengwei Zhang; Sicheng Zhang; Pengyun Wang; Zitang Zhou; Binzhu Xie; Ziyue Wang; Bei Ouyang; Zhengyu Lin; et al. (CVPR, 2025)

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models. - Kaichen Zhang; Bo Li 080; Peiyuan Zhang; Fanyi Pu; Joshua Adrian Cahyono; Kairui Hu; Shuai Liu 002; Yuanhan Zhang; Jingkang Yang; Chunyuan Li; Ziwei Liu 002 (NAACL (Findings), 2025)

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Yueqian Lin; Qing Yu; Go Irie; Shafiq Joty; Yixuan Li 001; Hai Helen Li; Ziwei Liu 002; Toshihiko Yamasaki; et al. (Trans. Mach. Learn. Res., 2025)

Long Context Transfer from Language to Vision. - Peiyuan Zhang; Kaichen Zhang; Bo Li 080; Guangtao Zeng; Jingkang Yang; Yuanhan Zhang; Ziyue Wang; Haoran Tan; Chunyuan Li; Ziwei Liu 002 (Trans. Mach. Learn. Res., 2025)

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning. - Shulin Tian; Ruiqi Wang; Hongming Guo; Penghao Wu; Yuhao Dong; Xiuying Wang 012; Jingkang Yang; Hao Zhang 097; Hongyuan Zhu; Ziwei Liu 002 (CoRR, 2025)

Otter: A Multi-Modal Model With In-Context Instruction Tuning. - Bo Li 080; Yuanhan Zhang; Liangyu Chen 005; Jinghao Wang; Fanyi Pu; Joshua Adrian Cahyono; Jingkang Yang; Chunyuan Li; Ziwei Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)