Jiandong Jin

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Penetration Testing

High Definition

Top Venues

Publications

Jiandong Jin, Bowen Tang, Mingxuan Ma, Xiao Liu, Yunfei Wang, Qingnan Lai, Jia Yang, Changling Zhou
Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models. CoRR (2024)
Xiao Wang, Yuehang Li, Wentao Wu, Jiandong Jin, Yao Rong, Bo Jiang, Chuanfu Li, Jin Tang
Pre-training on High Definition X-ray Images: An Experimental Study. CoRR (2024)
Yunfei Wang, Shixuan Liu, Chao Zhang, Wenhao Wang, Jiandong Jin, Cheng Zhu, Changling Zhou
Graph Pre-training for Reconnaissance Perception in Automated Penetration Testing. ICIC (3) (2024)
Xiao Wang, Weizhe Kong, Jiandong Jin, Shiao Wang, Ruichong Gao, Qingchuan Ma, Chenglong Li, Jin Tang
An Empirical Study of Mamba-based Pedestrian Attribute Recognition. CoRR (2024)
Xiao Wang, Qian Zhu, Jiandong Jin, Jun Zhu, Futian Wang, Bo Jiang, Yaowei Wang, Yonghong Tian
Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition. CoRR (2024)
Dong Li, Jiandong Jin, Yuhao Zhang, Yanlin Zhong, Yaoyang Wu, Lan Chen, Xiao Wang, Bin Luo
Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large Vision-Language Models. CoRR (2023)
Xiao Wang, Jiandong Jin, Chenglong Li, Jin Tang, Cheng Zhang, Wei Wang
Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion. CoRR (2023)
Jun Zhu, Jiandong Jin, Zihan Yang, Xiaohao Wu, Xiao Wang
Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition. CVPR Workshops (2023)
Jiandong Jin, Xiao Wang, Chenglong Li, Lili Huang, Jin Tang
SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm. CoRR (2023)
Jun Zhu, Jiandong Jin, Zihan Yang, Xiaohao Wu, Xiao Wang
Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition. CoRR (2023)
Fuwen Deng, Jiandong Jin, Yu Shen, Yuchuan Du
Advanced Self-Improving Ramp Metering Algorithm based on Multi-Agent Deep Reinforcement Learning. ITSC (2019)