Xiaohui Kuang - RankMe

110 papers A* 9A 4B 12C 9Journal 34Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DataFactory: Collaborative Multi-Agent Framework for Advanced Table Question Answering. CoRR Tong Wang, Chi Jin, Yongkang Chen, Huan Deng, Xiaohui Kuang, Gang Zhao
2026	J	`jnl`	DataFactory: Collaborative multi-agent framework for advanced table question answering. Inf. Process. Manag. Tong Wang, Chi Jin, Yongkang Chen, Huan Deng, Xiaohui Kuang, Gang Zhao
2025	—	`conf`	Better Red Teaming via Searching with Large Language Model. ACL (Findings) Yongkang Chen, Chongyang Zhao, Jianwentian Jianwentian, Guiling Cao, Hu Li, Xiaohui Kuang
2025	J	`jnl`	CacheAlarm: Monitoring Sensitive Behaviors of Android Apps Using Cache Side Channel. IEEE Trans. Dependable Secur. Comput. Jianwen Tian, Haoyu Ma, Debin Gao, Xiaohui Kuang
2025	A*	`conf`	Density Boosts Everything: A One-stop Strategy for Improving Performance, Robustness, and Sustainability of Malware Detectors. NDSS Jianwen Tian, Wei Kong, Debin Gao, Tong Wang, Taotao Gu, Kefan Qiu, Zhi Wang, Xiaohui Kuang
2025	A*	`conf`	Refusal-Aware Red Teaming: Exposing Inconsistency in Safety Evaluations. EMNLP Yongkang Chen, Xiaohu Du, Xiaotian Zou, Chongyang Zhao, Huan Deng, Hu Li, Xiaohui Kuang
2025	—	`conf`	Reward-Guided Many-Shot Jailbreaking. NLPCC (1) Yongkang Chen, Xiaotian Zou, Tong Wang, Jianwen Tian, Hu Li, Xiaohui Kuang
2024	A*	`conf`	A New Perspective of Deep Learning Testing Framework: Human-Computer Interaction Based Neural Network Testing. ICRA Wei Kong, Hu Li, Qianjin Du, Huayang Cao, Xiaohui Kuang
2024	A	`conf`	Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing. ISSTA Tong Wang, Taotao Gu, Huan Deng, Hu Li, Xiaohui Kuang, Gang Zhao
2024	J	`jnl`	Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing. CoRR Tong Wang, Taotao Gu, Huan Deng, Hu Li, Xiaohui Kuang, Gang Zhao
2024	J	`jnl`	Dynamic loss yielding more transferable targeted adversarial examples. Neurocomputing Ming Zhang, Yongkang Chen, Hu Li, Cheng Qian, Xiaohui Kuang
2024	B	`conf`	Enhancing Adversarial Robustness through Self-Supervised Confidence-Based Denoising. TrustCom Yongkang Chen, Tong Wang, Wei Kong, Taotao Gu, Guiling Cao, Xiaohui Kuang
2024	J	`jnl`	Estimating Maize Crop Height and Aboveground Biomass Using Multi-Source Unmanned Aerial Vehicle Remote Sensing and Optuna-Optimized Ensemble Learning Algorithms. Remote. Sens. Yafeng Li, Changchun Li, Qian Cheng, Fuyi Duan, Weiguang Zhai, Zongpeng Li, Bohan Mao, Fan Ding, Xiaohui Kuang, Zhen Chen
2024	A*	`conf`	Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection. NeurIPS Jingjing Wang, Minhuan Huang, Yuanping Nie, Xiang Li, Qianjin Du, Wei Kong, Huan Deng, Xiaohui Kuang
2023	J	`jnl`	A Multi-Shuffler Framework to Establish Mutual Confidence for Secure Federated Learning. IEEE Trans. Dependable Secur. Comput. Zan Zhou, Changqiao Xu, Ming-Ze Wang, Xiaohui Kuang, Yirong Zhuang, Shui Yu
2023	J	`jnl`	A Mutation-Enabled Proactive Defense Against Service-Oriented Man-in-The-Middle Attack in Kubernetes. IEEE Trans. Computers Tengchao Ma, Changqiao Xu, Shujie Yang, Yiting Huang, Qingzhao An, Xiaohui Kuang, Luigi Alfredo Grieco
2023	—	`conf`	A Study on Vulnerability Code Labeling Method in Open-Source C Programs. DEXA (1) Yaning Zheng, Dongxia Wang, Huayang Cao, Cheng Qian, Xiaohui Kuang, Honglin Zhuang
2023	—	`conf`	ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving. ICONIP (13) Huan Deng, Minhuan Huang, Tong Wang, Hu Li, Jianwen Tian, Qian Yan, Xiaohui Kuang
2023	A	`conf`	Automated Software Vulnerability Detection via Curriculum Learning. ICME Qianjin Du, Wei Kun, Xiaohui Kuang, Xiang Li, Gang Zhao
2023	C	`conf`	Driving into Danger: Adversarial Patch Attack on End-to-End Autonomous Driving Systems Using Deep Learning. ISCC Tong Wang, Xiaohui Kuang, Hu Li, Qianjin Du, Zhanhao Hu, Huan Deng, Gang Zhao
2023	—	`conf`	Fine-Grained Software Vulnerability Detection via Neural Architecture Search. DASFAA (4) Qianjin Du, Xiaohui Kuang, Xiang Li, Gang Zhao
2023	C	`conf`	Fine-Grained Source Code Vulnerability Detection via Graph Neural Networks (S). SEKE Jingjing Wang, Minhuan Huang, Yuanping Nie, Xiaohui Kuang, Xiang Li, Wenjing Zhong
2023	J	`jnl`	How to Disturb Network Reconnaissance: A Moving Target Defense Approach Based on Deep Reinforcement Learning. IEEE Trans. Inf. Forensics Secur. Tao Zhang, Changqiao Xu, Jiahao Shen, Xiaohui Kuang, Luigi Alfredo Grieco
2023	J	`jnl`	How to Mitigate DDoS Intelligently in SD-IoV: A Moving Target Defense Approach. IEEE Trans. Ind. Informatics Tao Zhang, Changqiao Xu, Ping Zou, Haijiang Tian, Xiaohui Kuang, Shujie Yang, Lujie Zhong, Dusit Niyato
2023	A*	`conf`	Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. EMNLP Qianjin Du, Shiji Zhou, Xiaohui Kuang, Gang Zhao, Jidong Zhai
2023	—	`conf`	Machine Learning Security Analysis Framework Based on Threat Matrix. DSC Hu Li, Qiongmin Ma, Ming Zhang, Xiaohui Kuang
2023	B	`conf`	Risk Scenario Generation for Autonomous Driving Systems based on Scenario Evaluation Model. IJCNN Tong Wang, Xiaohui Kuang, Huan Deng, Taotao Gu, Wei Kong, Jianwen Tian, Gang Zhao
2023	A*	`conf`	Sparsity Brings Vulnerabilities: Exploring New Metrics in Backdoor Attacks. USENIX Security Symposium Jianwen Tian, Kefan Qiu, Debin Gao, Zhi Wang, Xiaohui Kuang, Gang Zhao
2023	—	`conf`	Survey on Fuzzing Techniques in Deep Learning Libraries. DSC Jiahe Ji, Wei Kong, Jianwen Tian, Taotao Gu, Yuanping Nie, Xiaohui Kuang
2023	C	`conf`	Test Suite Generation Based on Context-Adapted Structural Coverage for Testing DNN. APNOMS Wei Kong, Qianjin Du, Huayang Cao, Hu Li, Tong Wang, Jianwen Tian, Xiaohui Kuang
2023	J	`jnl`	Towards Attack-Resistant Service Function Chain Migration: A Model-Based Adaptive Proximal Policy Optimization Approach. IEEE Trans. Dependable Secur. Comput. Tao Zhang, Changqiao Xu, Bingchi Zhang, Xinran Li, Xiaohui Kuang, Luigi Alfredo Grieco
2023	J	`jnl`	When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach. IEEE J. Sel. Areas Commun. Tao Zhang, Changqiao Xu, Yibo Lian, Haijiang Tian, Jiawen Kang, Xiaohui Kuang, Dusit Niyato
2022	—	`conf`	A Data-free Black-box Attack for Generating Transferable Adversarial Examples. HPCC/DSS/SmartCity/DependSys Chenxu Wang, Ming Zhang, Jinjing Zhao, Xiaohui Kuang, Han Zhang, Xuhong Zhang
2022	—	`conf`	A Proactive Defense Strategy Against SGX Side-channel Attacks via self-checking DRL in the Cloud. ICC Tengchao Ma, Changqiao Xu, Qingzhao An, Xiaohui Kuang, Lujie Zhong, Luigi Alfredo Grieco
2022	J	`jnl`	An intelligent proactive defense against the client-side DNS cache poisoning attack via self-checking deep reinforcement learning. Int. J. Intell. Syst. Tengchao Ma, Changqiao Xu, Shujie Yang, Yiting Huang, Xiaohui Kuang, Hong Tang, Luigi Alfredo Grieco
2022	—	`conf`	Black-Box Adversarial Attacks on Deep Neural Networks: A Survey. ICDIS Chenxu Wang, Ming Zhang, Jinjing Zhao, Xiaohui Kuang
2022	—	`conf`	Code Vulnerability Detection via Nearest Neighbor Mechanism. EMNLP (Findings) Qianjin Du, Xiaohui Kuang, Gang Zhao
2022	A*	`conf`	Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal. NeurIPS Yucheng Shi, Yahong Han, Yu-an Tan, Xiaohui Kuang
2022	B	`conf`	Detecting Backdoor Attacks on Deep Neural Networks Based on Model Parameters Analysis. ICTAI Mingyuan Ma, Hu Li, Xiaohui Kuang
2022	B	`conf`	Dynamic and Diverse Transformations for Defending Against Adversarial Examples. TrustCom Yongkang Chen, Ming Zhang, Jin Li, Xiaohui Kuang, Xuhong Zhang, Han Zhang
2022	—	`conf`	Fuzzing DBMS via NNLM. DSC Yabin Li, Yuanping Nie, Xiaohui Kuang
2022	—	`conf`	Group-based corpus scheduling for parallel fuzzing. ESEC/SIGSOFT FSE Taotao Gu, Xiang Li, Shuaibing Lu, Jianwen Tian, Yuanping Nie, Xiaohui Kuang, Zhechao Lin, Chenyifan Liu, Jie Liang, Yu Jiang
2022	J	`jnl`	ICDF: Intrusion collaborative detection framework based on confidence. Int. J. Intell. Syst. Zhi Wang, Leshi Shao, Kai Cheng, Yuanzhao Liu, Jianan Jiang, Yuanping Nie, Xiang Li, Xiaohui Kuang
2022	A*	`conf`	Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients. IJCAI Ming Zhang, Xiaohui Kuang, Hu Li, Zhendong Wu, Yuanping Nie, Gang Zhao
2022	J	`jnl`	Multidomain security authentication for the Internet of things. Concurr. Comput. Pract. Exp. Qikun Zhang, Kunyuan Zhao, Xiaohui Kuang, Yongjiao Li, Yuanpan Zheng, Junling Yuan, Ruifang Wang
2022	A*	`conf`	Off-Path Network Traffic Manipulation via Revitalized ICMP Redirect Attacks. USENIX Security Symposium Xuewei Feng, Qi Li, Kun Sun, Zhiyun Qian, Gang Zhao, Xiaohui Kuang, Chuanpu Fu, Ke Xu
2022	C	`conf`	StinAttack: A Lightweight and Effective Adversarial Attack Simulation to Ensemble IDSs for Satellite- Terrestrial Integrated Network. ISCC Shangyuan Zhuang, Jiyan Sun, Hangsheng Zhang, Xiaohui Kuang, Ling Pang, Haitao Liu, Yinlong Liu
2022	J	`jnl`	Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. Tao Zhang, Changqiao Xu, Bingchi Zhang, Jiahao Shen, Xiaohui Kuang, Luigi Alfredo Grieco
2021	J	`jnl`	A discrete cosine transform-based query efficient attack on black-box object detectors. Inf. Sci. Xiaohui Kuang, Xianfeng Gao, Lianfang Wang, Gang Zhao, Lishan Ke, Quanxin Zhang
2021	J	`jnl`	An Evolutionary-Based Black-Box Attack to Deep Neural Network Classifiers. Mob. Networks Appl. Yutian Zhou, Yu-an Tan, Quanxin Zhang, Xiaohui Kuang, Yahong Han, Jingjing Hu
2021	J	`jnl`	Context-Aware Adaptive Route Mutation Scheme: A Reinforcement Learning Approach. IEEE Internet Things J. Changqiao Xu, Tao Zhang, Xiaohui Kuang, Zan Zhou, Shui Yu
2021	J	`jnl`	Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal. CoRR Yucheng Shi, Yahong Han, Yu-an Tan, Xiaohui Kuang
2021	—	`conf`	Detecting Adversarial Samples in Neural Network with Statistical Metrics: A Practical Approach. DSC Wei Kong, Huayang Cao, Jianwen Tian, Xiaohui Kuang
2021	—	`conf`	Free Adversarial Training with Layerwise Heuristic Learning. ICIG (2) Haitao Zhang, Yucheng Shi, Benyu Dong, Yahong Han, Yuanzhang Li, Xiaohui Kuang
2021	—	`conf`	Generating Highly Structured Inputs: A Survey. DSC Yabin Li, Yinfan Qin, Jianwen Tian, Taotao Gu, Yuanping Nie, Xiaohui Kuang
2021	—	`conf`	Gradient-oriented gray-box protocol fuzzing. DSC Yinfan Qin, Xiang Li, Jianwen Tian, Taotao Gu, Xiaohui Kuang
2021	J	`jnl`	Oblivious Transfer for Privacy-Preserving in VANET's Feature Matching. IEEE Trans. Intell. Transp. Syst. Xianmin Wang, Xiaohui Kuang, Jin Li, Jing Li, Xiaofeng Chen, Zheli Liu
2021	B	`conf`	PPO-RM: Proximal Policy Optimization Based Route Mutation for Multimedia Services. IWCMC Jiahao Shen, Tao Zhang, Bingchi Zhang, Weixiao Ji, Xiaohui Kuang, Changqiao Xu
2021	J	`jnl`	Towards a physical-world adversarial patch for blinding object detection models. Inf. Sci. Yajie Wang, Haoran Lv, Xiaohui Kuang, Gang Zhao, Yu-an Tan, Quanxin Zhang, Jingjing Hu
2020	—	`conf`	A File-Level Continuous Data Protection Scheme for Enforcing Security Baseline. ML4CS (1) Xiangxiang Jiang, Yuxi Ma, Gang Zhao, Xiaohui Kuang, Yuanzhang Li, Ruyun Zhang
2020	C	`conf`	A Hybrid Interface Recovery Method for Android Kernels Fuzzing. QRS Shuaibing Lu, Xiaohui Kuang, Yuanping Nie, Zhechao Lin
2020	—	`conf`	A Real-Time Audio and Video Streaming Transmission Scheme for Social Media. SocialSec Jianping Yu, Gang Zhao, Xiaohui Kuang, Ruyun Zhang
2020	B	`conf`	A Study on Mesh Hybrid Memory Cube Network. ISPASS Cheng Qian, Ming Zhang, Xiaohui Kuang, Gang Zhao
2020	—	`conf`	A VirtualXposed-Based Inline Hooking Framework for Android Native Methods. SocialSec Shuo Feng, Yu-an Tan, Gang Zhao, Xiaohui Kuang, Xiao Yu, Juan Wang
2020	J	`jnl`	Adaptive iterative attack towards explainable adversarial robustness. Pattern Recognit. Yucheng Shi, Yahong Han, Quanxin Zhang, Xiaohui Kuang
2020	—	`conf`	An Adaptive Data Protection Scheme for Optimizing Storage Space. ML4CS (2) Meng Ming, Gang Zhao, Xiaohui Kuang, Lu Liu, Ruyun Zhang
2020	—	`conf`	An Android Data Protection Scheme for System-as-Root Architectures. SocialSec Kai Yang, Ling Pang, Bo Zhang, Gang Zhao, Xiaohui Kuang
2020	—	`conf`	An Intelligent File Transfer Optimization for Poor Network Conditions. SocialSec Ming Yan, Bo Zhang, Gang Zhao, Xiaohui Kuang, Lu Liu, Ruyun Zhang
2020	J	`jnl`	An adversarial attack on DNN-based black-box object detectors. J. Netw. Comput. Appl. Yajie Wang, Yu-an Tan, Wenjiao Zhang, Yuhang Zhao, Xiaohui Kuang
2020	J	`jnl`	BMOP: Bidirectional Universal Adversarial Learning for Binary OpCode Features. Wirel. Commun. Mob. Comput. Xiang Li, Yuanping Nie, Zhi Wang, Xiaohui Kuang, Kefan Qiu, Cheng Qian, Gang Zhao
2020	B	`conf`	DQ-RM: Deep Reinforcement Learning-based Route Mutation Scheme for Multimedia Services. IWCMC Tao Zhang, Changqiao Xu, Bingchi Zhang, Xiaohui Kuang, Yue Wang, Shujie Yang, Gabriel-Miro Muntean
2020	J	`jnl`	Endogenous Security Defense against Deductive Attack: When Artificial Intelligence Meets Active Defense for Online Service. IEEE Commun. Mag. Zan Zhou, Xiaohui Kuang, Limin Sun, Lujie Zhong, Changqiao Xu
2020	B	`conf`	Enhancing Randomization Entropy of x86-64 Code while Preserving Semantic Consistency. TrustCom Xuewei Feng, Dongxia Wang, Zhechao Lin, Xiaohui Kuang, Gang Zhao
2020	J	`jnl`	I-HMM-Based Multidimensional Network Security Risk Assessment. IEEE Access Jingjing Hu, Shuangshuang Guo, Xiaohui Kuang, Fankun Meng, Dongsheng Hu, Zhiyu Shi
2020	B	`conf`	Intelligent-driven Adapting Defense Against the Client-side DNS Cache Poisoning in the Cloud. GLOBECOM Tengchao Ma, Changqiao Xu, Zan Zhou, Xiaohui Kuang, Lujie Zhong, Luigi Alfredo Grieco
2020	—	`conf`	Keeping Privacy Data Secure Under Factory Recovery. SocialSec Lianfang Wang, Ye Wang, Gang Zhao, Lu Liu, Xiaohui Kuang
2020	—	`conf`	Multi-vNIC Intelligent Mutation: A Moving Target Defense to thwart Client-side DNS Cache Attack. ICC Zan Zhou, Changqiao Xu, Tengchao Ma, Xiaohui Kuang
2020	—	`conf`	Non-norm-bounded Attack for Generating Adversarial Examples. ICONIP (5) Ming Zhang, Hu Li, Xiaohui Kuang, Yuanping Nie, Cheng Qian, Zhendong Wu, Gang Zhao
2020	J	`jnl`	Privacy preservation for machine learning training and classification based on homomorphic encryption schemes. Inf. Sci. Jing Li, Xiaohui Kuang, Shujie Lin, Xu Ma, Yi Tang
2020	A	`conf`	Two-Way Feature-Aligned And Attention-Rectified Adversarial Training. ICME Haitao Zhang, Fan Jia, Quanxin Zhang, Yahong Han, Xiaohui Kuang, Yu-an Tan
2019	J	`jnl`	A CMA-ES-Based Adversarial Attack on Black-Box Deep Neural Networks. IEEE Access Xiaohui Kuang, Hongyi Liu, Ye Wang, Qikun Zhang, Quanxin Zhang, Jun Zheng
2019	—	`conf`	A heuristic fuzz test generator for Java native interface. SQUADE@ESEC/SIGSOFT FSE Jinjing Zhao, Yan Wen, Xiang Li, Ling Pang, Xiaohui Kuang, Dongxia Wang
2019	—	`conf`	An Efficient and Agile Spatio-Temporal Route Mutation Moving Target Defense Mechanism. ICC Zan Zhou, Changqiao Xu, Xiaohui Kuang, Tao Zhang, Limin Sun
2019	B	`conf`	An Intelligent Route Mutation Mechanism against Mixed Attack Based on Security Awareness. GLOBECOM Tao Zhang, Xiaohui Kuang, Zan Zhou, Hongquan Gao, Changqiao Xu
2019	—	`conf`	Boosting Training for PDF Malware Classifier via Active Learning. CSS (2) Xinxin Wang, Yuanzhang Li, Quanxin Zhang, Xiaohui Kuang
2019	—	`conf`	DeepWAF: Detecting Web Attacks Based on CNN and LSTM Models. CSS (2) Xiaohui Kuang, Ming Zhang, Hu Li, Gang Zhao, Huayang Cao, Zhendong Wu, Xianmin Wang
2019	J	`jnl`	Detecting adversarial examples via prediction difference for deep neural networks. Inf. Sci. Feng Guo, Qingjie Zhao, Xuan Li, Xiaohui Kuang, Jianwei Zhang, Yahong Han, Yu-an Tan
2019	—	`conf`	Evading PDF Malware Classifiers with Generative Adversarial Network. CSS (1) Yaxiao Wang, Yuanzhang Li, Quanxin Zhang, Jingjing Hu, Xiaohui Kuang
2019	C	`conf`	Neuron Selecting: Defending Against Adversarial Examples in Deep Neural Networks. ICICS Ming Zhang, Hu Li, Xiaohui Kuang, Ling Pang, Zhendong Wu
2019	B	`conf`	SE-PSO: Resource Scheduling Strategy for Multimedia Cloud Platform Based on Security Enhanced Virtual Migration. IWCMC Tengchao Ma, Changqiao Xu, Zan Zhou, Xiaohui Kuang, Lujie Zhong
2019	J	`jnl`	The security of machine learning in an adversarial setting: A survey. J. Parallel Distributed Comput. Xianmin Wang, Jing Li, Xiaohui Kuang, Yu-an Tan, Jin Li
2019	A	`conf`	Untargeted Adversarial Attack via Expanding the Semantic Gap. ICME Aming Wu, Yahong Han, Quanxin Zhang, Xiaohui Kuang
2019	J	`jnl`	一种基于程序切片相似度匹配的脆弱性发现方法 (Vulnerability Discovery Approach Based on Similarity Matching of Program Slicing). 计算机科学 Qiang Liu, Xiaohui Kuang, Hua Chen, Xiang Li, Guangke Li
2018	—	`conf`	A General Testing Framework Based on Veins for Securing VANET Applications. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Liang Ming, Gang Zhao, Minhuan Huang, Xiaohui Kuang, Jingzhe Zhang, Huayang Cao, Fei Xu
2018	—	`conf`	A Vulnerability Test Method for Speech Recognition Systems Based on Frequency Signal Processing. DSC Honghao Yang, Dong Liang, Xiaohui Kuang, Changqiao Xu
2018	C	`conf`	Balancing the QOS and Security in Dijkstra Algorithm by SDN Technology. NPC Jinjing Zhao, Ling Pang, Xiaohui Kuang, Rong Jin
2018	—	`conf`	Network Traffic Generator Based on Distributed Agent for Large-Scale Network Emulation Environment. IScIDE Xiaohui Kuang, Jin Li, Fei Xu
2018	—	`conf`	Security Analysis of Intelligent Transportation Systems Based on Simulation Data. ICDIS Liang Ming, Gang Zhao, Minhuan Huang, Xiaohui Kuang, Hu Li, Ming Zhang
2017	—	`conf`	Machine Learning in Vulnerability Databases. ISCID (1) Zhechao Lin, Xiang Li, Xiaohui Kuang
2016	—	`conf`	Survey on Software Vulnerability Analysis Method Based on Machine Learning. DSC Jie Gong, Xiaohui Kuang, Qiang Liu
2016	J	`jnl`	一种基于多层拓扑的大规模分布式系统结构脆弱性分析算法 (Multilayer Topology Structural Vulnerability Analysis Algorithm for Large-scale Distributed System). 计算机科学 Xiaohui Kuang, Jin Li, Gang Zhao
2015	J	`jnl`	A clustering approach based on convergence degree chain for wireless sensor networks. Secur. Commun. Networks Xiaohui Kuang, Li Liu, Qiang Liu, Xiang Li
2014	—	`conf`	On Effectiveness of Clustering Principles in Maximizing Wireless Sensor Network Lifespan. WASA Xiaohui Kuang, Bowen Li, Li Liu
2013	—	`conf`	Architecture of Network Environment for High-Risk Security Experimentation. ICT-EurAsia Xiaohui Kuang, Xiang Li, Jinjing Zhao
2012	—	`conf`	Secure Service and Management for Security-Critical Wireless Sensor Network. IMIS Qiang Liu, Li Liu, Xiaohui Kuang, Yan Wen
2011	C	`conf`	Research on survivability metrics based on survivable process of network system. SIN Liang Ming, Minhuan Huang, Dongxia Wang, Xiaohui Kuang, Chunlei Wang, Xuewei Feng
2010	C	`conf`	Implicit detection of stealth software with a local-booted virtual machine. ICIS Yan Wen, Minhuan Huang, Jinjing Zhao, Xiaohui Kuang
2009	—	`conf`	An Emulation Environment for Vulnerability Analysis of Large-Scale Distributed System. GCC Gang Zhao, Xiaohui Kuang, Weimin Zheng
2009	B	`conf`	Research on Technologies of Building Experimental Environment for Network Worm Simulation. ICPADS Minhuan Huang, Xiaohui Kuang, Yan Wen, Hong Tang, Fei Xu
2005	—	`conf`	A Cluster-Based Group Rekeying Algorithm in Mobile Ad Hoc Networks. ICCNMC Guangming Hu, Xiaohui Kuang, Zhenghu Gong