WATSON: Abstracting Behaviors from Audit Logs via Aggregation of Contextual Semantics. - Jun Zeng 006; Zheng Leong Chua; Yinfang Chen; Kaihang Ji; Zhenkai Liang; Jian Mao (NDSS, 2021)

PalanTír: Optimizing Attack Provenance with Hardware-enhanced System Observability. - Jun Zeng 006; Chuqi Zhang; Zhenkai Liang (CCS, 2022)

AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reports. - Zhenyuan Li; Jun Zeng 006; Yan Chen 004; Zhenkai Liang (ESORICS (1), 2022)

TeLL: log level suggestions via modeling multi-level code block information. - Jiahao Liu; Jun Zeng 006; Xiang Wang 010; Kaihang Ji; Zhenkai Liang (ISSTA, 2022)

SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records. - Jun Zeng 006; Xiang Wang 010; Jiahao Liu; Yinfang Chen; Zhenkai Liang; Tat-Seng Chua; Zheng Leong Chua (SP, 2022)

FlowMatrix: GPU-Assisted Information-Flow Analysis through Matrix-Based Representation. - Kaihang Ji; Jun Zeng 006; Yuancheng Jiang; Zhenkai Liang; Zheng Leong Chua; Prateek Saxena; Abhik Roychoudhury (USENIX Security Symposium, 2022)

Learning Graph-based Code Representations for Source-level Functional Similarity Detection. - Jiahao Liu; Jun Zeng 006; Xiang Wang 010; Zhenkai Liang (ICSE, 2023)

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (CoRR, 2023)

The HitchHiker's Guide to High-Assurance System Observability Protection with Efficient Permission Switches. - Chuqi Zhang; Jun Zeng 006; Yiming Zhang 030; Adil Ahmad; Fengwei Zhang; Hai Jin 001; Zhenkai Liang (CCS, 2024)

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (EuroSys, 2024)

MaskDroid: Robust Android Malware Detection with Masked Graph Representations. - Jingnan Zheng; Jiahao Liu; An Zhang 003; Jun Zeng 006; Ziqi Yang; Zhenkai Liang; Tat-Seng Chua (ASE, 2024)

UIHash: Detecting Similar Android UIs through Grid-Based Visual Appearance Representation. - Jiawei Li; Jian Mao; Jun Zeng 006; Qixiao Lin; Shaowen Feng; Zhenkai Liang (USENIX Security Symposium, 2024)

Unraveling the Key of Machine Learning Solutions for Android Malware Detection. - Jiahao Liu; Jun Zeng 006; Fabio Pierazzi; Lorenzo Cavallaro; Zhenkai Liang (CoRR, 2024)

MASKDROID: Robust Android Malware Detection with Masked Graph Representations. - Jingnan Zheng; Jiaohao Liu; An Zhang 003; Jun Zeng 006; Ziqi Yang; Zhenkai Liang; Tat-Seng Chua (CoRR, 2024)

UI-CTX: Understanding UI Behaviors with Code Contexts for Mobile Applications. - Jiawei Li; Jiahao Liu; Jian Mao; Jun Zeng 006; Zhenkai Liang (NDSS, 2025)

ProvGuard: Detecting SDN Control Policy Manipulation via Contextual Semantics of Provenance Graphs. - Ziwen Liu; Jian Mao; Jun Zeng 006; Jiawei Li; Qixiao Lin; Jiahao Liu; Jianwei Zhuge; Zhenkai Liang (NDSS, 2025)