A novel method for object tracking and segmentation using online Hough forests and convex relaxation. - Zhengjian Kang; Edward K. Wong (ICIP, 2013)

Learning multi-scale sparse representation for visual tracking. - Zhengjian Kang; Edward K. Wong (ICIP, 2014)

Parts-based multi-task sparse learning for visual tracking. - Zhengjian Kang; Edward K. Wong (ICIP, 2015)

Optimized Coordination Strategy for Multi-Aerospace Systems in Pick-and-Place Tasks By Deep Neural Network. - Ye Zhang; Linyue Chu; Letian Xu; Kangtong Mo; Zhengjian Kang; Xingyu Zhang (CoRR, 2024)

CoVis: A Collaborative Framework for Fine-Grained Graphic Visual Understanding. - Xiaoyu Deng; Zhengjian Kang; Xintao Li; Yongzhe Zhang; Tianmin Guo (CSCWD, 2025)

LP-DETR: Layer-Wise Progressive Relation for Object Detection. - Zhengjian Kang; Ye Zhang; Xiaoyu Deng; Xintao Li; Yongzhe Zhang (ICIC (5), 2025)

SDARL: Safe Deep Adaptive Representation Learning for High-DoF Non-Linear System Manipulation in Space. - Ye Zhang; Rui Liu; Qi Chen; Kangtong Mo; Linyue Chu; Zhengjian Kang (IEEE Access, 2025)

ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework. - Xiaoyu Deng; Ye Zhang; Tianmin Guo; Yongzhe Zhang; Zhengjian Kang; Hang Yang (CoRR, 2025)

LP-DETR: Layer-wise Progressive Relations for Object Detection. - Zhengjian Kang; Ye Zhang; Xiaoyu Deng; Xintao Li; Yongzhe Zhang (CoRR, 2025)

Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation. - Jun Zhuang; Hai Jin 001; Ye Zhang; Zhengjian Kang; Wenbin Zhang 002; Gaby G. Dagher; Haohan Wang (CoRR, 2025)