Yongjian Guo

According to our database, Yongjian Guo authored at least 20 papers between 2007 and 2026.

Collaborative distances:

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

2026

LGA: lightweight design and privacy analysis of generative agents in social simulations.

Yongjian Guo, Xiaoxiao Lu, Wanlun Ma, Xi Xiao, Tianqing Zhu

Int. J. Inf. Sec., June, 2026

Pre-VLA: Preemptive Runtime Verification for Reliable Vision-Language-Action and World-Model Rollouts.

Zhen Sun, Yongjian Guo, Haoran Sun, Luqiao Wang, Wei Lu, Jiachi Ji, Shengzhe Ji, Junwu Xiong, Zhijun Meng

CoRR, May, 2026

AdaptiveLoad: Towards Efficient Video Diffusion Transformer Training.

Yucheng Guo, Yongjian Guo, Zhong Guan, Haoran Sun, Wen Huang, Wanting Xu, Jing Long, Shuai Di, Junwu Xiong

CoRR, May, 2026

D-VLA: A High-Concurrency Distributed Asynchronous Reinforcement Learning Framework for Vision-Language-Action Models.

Yucheng Guo, Yongjian Guo, Zhong Guan, Wen Huang, Haoran Sun, Haodong Yue, Xiaolong Xiang, Shuai Di, Zhen Sun, Luqiao Wang, Junwu Xiong, Yicheng Gong

CoRR, May, 2026

Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction.

Zhong Guan, Yongjian Guo, Haoran Sun, Wen Huang, Shuai Di, Likang Wu, Xiong Jun Wu, Hongke Zhao

CoRR, May, 2026

NoiseGate: Learning Per-Latent Timestep Schedules as Information Gating in World Action Models.

Wen Huang, Haoran Sun, Yongjian Guo, Yunxuan Ma, Haoran Li, Jing Long, Zhouying Mo, Zhong Guan, Yucheng Guo, Shuai Di, Junwu Xiong

CoRR, May, 2026

Sword: Style-Robust World Models as Simulators via Dynamic Latent Bootstrapping for VLA Policy Post-Training.

Jiaxuan Gao, Yongjian Guo, Zhong Guan, Wen Huang, Wanlun Ma, Xi Xiao, Junwu Xiong, Sheng Wen

CoRR, May, 2026

Understanding Agentic AI: Algorithms and Infrastructure.

Wanlun Ma, Yongjian Guo, Qing-Long Han, Wei Zhou, Xiaogang Zhu, Junwu Xiong, Sheng Wen, Yang Xiang

IEEE CAA J. Autom. Sinica, April, 2026

Large Vision Model-Guided Masked Low-Rank Approximation for Ground-Roll Attenuation.

Jiacheng Liao, Feng Qian, Ziyin Fan, Yongjian Guo

CoRR, April, 2026

Thousand-GPU Large-Scale Training and Optimization Recipe for AI-Native Cloud Embodied Intelligence Infrastructure.

Yongjian Guo, Yunxuan Ma, Haoran Sun, Zhong Guan, Shuai Di, Jing Long, Wanting Xu, Xiaodong Bai, Wen Huang, Yucheng Guo, Chen Zhou, Qiming Yang, Mingxi Luo, Tianyun Zhao, Hedan Yang, Song Wang, Xiaomeng Tian, Xiaolong Xiang, Zhen Sun, Yu Wei, Luqiao Wang, Yuzhen Li, Chenfeng Gu, Junwu Xiong, Yicheng Gong

CoRR, March, 2026

RL-VLA³: Reinforcement Learning VLA Accelerating via Full Asynchronism.

Zhong Guan, Haoran Sun, Yongjian Guo, Shuai Di, Xiaodong Bai, Jing Long, Tianyun Zhao, Mingxi Luo, Chen Zhou, Yucheng Guo, Qiming Yang, Wanting Xu, Wen Huang, Yunxuan Ma, Hongke Zhao, Likang Wu, Xiaotie Deng, Xi Xiao, Sheng Wen, Yicheng Gong, Junwu Xiong

CoRR, February, 2026

2025

DetecVFuzz: Enhancing Security in Consumer Electronic Devices Through Scalable Vulnerability Testing of Virtual Devices.

Xi Xiao, Yongjian Guo, Alireza Jolfaei, Chuan Chen, Mohammad Sayad Haghighi, Sheng Wen, Yuanyi Lin

IEEE Trans. Consumer Electron., August, 2025

Systematic Analysis of MCP Security.

Yongjian Guo, Puzhuo Liu, Wanlun Ma, Zehang Deng, Xiaogang Zhu, Peng Di, Xi Xiao, Sheng Wen

CoRR, August, 2025

AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways.

Zehang Deng, Yongjian Guo, Changzhou Han, Wanlun Ma, Junwu Xiong, Sheng Wen, Yang Xiang

ACM Comput. Surv., July, 2025

Patch the Leak: Strengthening CodeLLMs Against Privacy Extraction Threats.

Yongjian Guo, Wanlun Ma, Xi Xiao, Sheng Wen, Peng Di, Xiaogang Zhu

Proceedings of the 34th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2025

2023

Fuzz Testing for Rust Library Functions.

Yongjian Guo, Xi Xiao, Yuanyi Lin, Hao Li, Xiangbo Wu, Tao Zhou

Proceedings of the 22nd IEEE International Conference on Trust, 2023

2019

Behavior of the Fusion Hole in Tungsten Inert Gas Thin-Plate Welding.

Yongjian Guo, Jinqiang Gao, Yu Cao, Chuanzong Li

IEEE Robotics Autom. Lett., 2019

2009

dCAS: a desktop application for cDNA sequence annotation.

Yongjian Guo, Jose M. C. Ribeiro, Jennifer M. Anderson, Stephan Bour

Bioinform., 2009

2007

DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists.

Da Wei Huang, Brad T. Sherman, Qina Tan, Joseph Kir, David Liu, David Bryant, Yongjian Guo, Robert M. Stephens, Michael W. Baseler, H. Clifford Lane, Richard A. Lempicki

Nucleic Acids Res., 2007

DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis.

Brad T. Sherman, Da Wei Huang, Qina Tan, Yongjian Guo, Stephan Bour, David Liu, Robert M. Stephens, Michael W. Baseler, H. Clifford Lane, Richard A. Lempicki

BMC Bioinform., 2007