Variation-tolerant CuxSiyO-based RRAM for low power application. - Wenxiang Jian; Gang Jin; Na Yan; Zhongyu Bi; Hao Min; Yinyin Lin; Ryan Huang; Qingtian Zou; Jingang Wu (IEICE Electron. Express, 2012)

Novel operation scheme and technological optimization for 1T bulk capacitor-less DRAM. - Hui Li; Wei Zhu; Ningxi Liu; Cunlin Dong; Chao Meng; Yinyin Lin; Ryan Huang; Qingtian Zou; Jingang Wu (ASICON, 2013)

A 0.13 µm 8 Mb Logic-Based Cux Siy O ReRAM With Self-Adaptive Operation for Yield Enhancement and Power Reduction. - Xiaoyong Xue; Wenxiang Jian; Jianguo Yang; Fanjie Xiao; Gang Chen; Shuliu Xu; Yufeng Xie; Yinyin Lin; Ryan Huang; Qingtian Zou; Jingang Wu (IEEE J. Solid State Circuits, 2013)

A low cost and high reliability true random number generator based on resistive random access memory. - Jianguo Yang; Juan Xu; Bo Wang; Xiaoyong Xue; Ryan Huang; Qingtian Zou; Jingang Wu; Yinyin Lin (ASICON, 2015)

A self-adaptive write driver with fast termination of step-up pulse for ReRAM. - Jianguo Yang; Xiaoyong Xue; Juan Xu; Fan Ye 001; Yinyin Lin; Ryan Huang; Qingtian Zou; Jingang Wu (IEICE Electron. Express, 2016)

A Logic Resistive Memory Chip for Embedded Key Storage With Physical Security. - Yufeng Xie; Xiaoyong Xue; Jianguo Yang; Yinyin Lin; Qingtian Zou; Ryan Huang; Jingang Wu (IEEE Trans. Circuits Syst. II Express Briefs, 2016)

Low-Power Variation-Tolerant Nonvolatile Lookup Table Design. - Xiaoyong Xue; Jianguo Yang; Yinyin Lin; Ryan Huang; Qingtian Zou; Jingang Wu (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Dynamic Data-Dependent Reference to Improve Sense Margin and Speed of Magnetoresistive Random Access Memory. - Xiaoyong Xue; Yarong Fu; Yanqing Zhao; Juan Xu; Jianguo Yang; Yufeng Xie; Yinyin Lin; Ryan Huang; Qingtian Zou; Jingang Wu (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

Automatic Recognition of Advanced Persistent Threat Tactics for Enterprise Security. - Qingtian Zou; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (IWSPA@CODASPY, 2020)

An Approach for Detection of Advanced Persistent Threat Attacks. - Qingtian Zou; Xiaoyan Sun 003; Peng Liu 005; Anoop Singhal (Computer, 2020)

Generating Comprehensive Data with Protocol Fuzzing for Applying Deep Learning to Detect Network Attacks. - Qingtian Zou; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (CoRR, 2020)

Using deep learning to solve computer security challenges: a survey. - Yoon-Ho Choi; Peng Liu 005; Zitong Shang; Haizhou Wang; Zhilong Wang; Lan Zhang 008; Junwei Zhou 002; Qingtian Zou (Cybersecur., 2020)

Deep Learning for Detecting Network Attacks: An End-to-End Approach. - Qingtian Zou; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (DBSec, 2021)

Attacks on ML Systems: From Security Analysis to Attack Mitigation. - Qingtian Zou; Lan Zhang 008; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (ICISS, 2022)

Deep learning for detecting logic-flaw-exploiting network attacks: An end-to-end approach. - Qingtian Zou; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (J. Comput. Secur., 2022)

DeepSyslog: Deep Anomaly Detection on Syslog Using Sentence Embedding and Metadata. - Junwei Zhou 002; Yijia Qian; Qingtian Zou; Peng Liu 005; Jianwen Xiang (IEEE Trans. Inf. Forensics Secur., 2022)

Evaluating Large Language Models for Real-World Vulnerability Repair in C/C++ Code. - Lan Zhang 008; Qingtian Zou; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (IWSPA@CODASPY, 2024)

Analysis of neural network detectors for network attacks. - Qingtian Zou; Lan Zhang 008; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (J. Comput. Secur., 2024)

Using Explainable AI for Neural Network-Based Network Attack Detection. - Qingtian Zou; Lan Zhang 008; Xiaoyan Sun 003; Anoop Singhal; Peng Liu 005 (Computer, 2024)

Exploring Prompt Patterns for Effective Vulnerability Repair in Real-World Code by Large Language Models. - Yining Luo; Baobao Li; Anoop Singhal; Peiyu Tseng; Lan Zhang 008; Qingtian Zou; Xiaoyan Sun 003; Peng Liu 005 (IWSPA@CODASPY, 2025)

Can AI Fix Buggy Code? Exploring the Use of Large Language Models in Automated Program Repair. - Lan Zhang 008; Anoop Singhal; Qingtian Zou; Xiaoyan Sun 003; Peng Liu 005; Hsiao-Ying Lin (Computer, 2025)