DScope: Detecting Real-World Data Corruption Hang Bugs in Cloud Server Systems. - Ting Dai; Jingzhu He; Xiaohui Gu; Shan Lu 001; Peipei Wang (SoCC, 2018)

Understanding Real-World Timeout Problems in Cloud Server Systems. - Ting Dai; Jingzhu He; Xiaohui Gu; Shan Lu 001 (IC2E, 2018)

TScope: Automatic Timeout Bug Identification for Server Systems. - Jingzhu He; Ting Dai; Xiaohui Gu (ICAC, 2018)

A Study on Container Vulnerability Exploit Detection. - Olufogorehan Tunde-Onadele; Jingzhu He; Ting Dai; Xiaohui Gu (IC2E, 2019)

TFix: Automatic Timeout Bug Fixing in Production Server Systems. - Jingzhu He; Ting Dai; Xiaohui Gu (ICDCS, 2019)

Self-Patch: Beyond Patch Tuesday for Containerized Applications. - Olufogorehan Tunde-Onadele; Yuhang Lin; Jingzhu He; Xiaohui Gu (ACSOS, 2020)

HangFix: automatically fixing software hang bugs for production cloud systems. - Jingzhu He; Ting Dai; Xiaohui Gu; Guoliang Jin (SoCC, 2020)

Toward just-in-time patching for containerized applications. - Olufogorehan Tunde-Onadele; Yuhang Lin; Jingzhu He; Xiaohui Gu (HotSoS, 2020)

Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data. - Jingzhu He; Chin-Chia Michael Yeh; Yanhong Wu; Liang Wang 047; Wei Zhang 189 (ECML/PKDD (4), 2021)

TFix+: Self-configuring Hybrid Timeout Bug Fixing for Cloud Systems. - Jingzhu He; Ting Dai; Xiaohui Gu (CoRR, 2021)

SHIL: Self-Supervised Hybrid Learning for Security Attack Detection in Containerized Applications. - Yuhang Lin; Olufogorehan Tunde-Onadele; Xiaohui Gu; Jingzhu He; Hugo Latapie (ACSOS, 2022)

Understanding Software Security Vulnerabilities in Cloud Server Systems. - Olufogorehan Tunde-Onadele; Yuhang Lin; Xiaohui Gu; Jingzhu He (IC2E, 2022)

PerfSig: Extracting Performance Bug Signatures via Multi-modality Causal Analysis. - Jingzhu He; Yuhang Lin; Xiaohui Gu; Chin-Chia Michael Yeh; Zhongfang Zhuang (ICSE, 2022)

POBO: Safe and optimal resource management for cloud microservices. - Hengquan Guo; Hongchen Cao; Jingzhu He; Xin Liu 049; Yuanming Shi (Perform. Evaluation, 2023)

Poster: Whether We Are Good Enough to Detect Server-Side Request Forgeries in PHP-native Applications? - Yuchen Ji; Ting Dai; Yutian Tang; Jingzhu He (CCS, 2024)

QueueFlower: Orchestrating Microservice Workflows via Dynamic Queue Balancing. - Hongchen Cao; Xinrui Liu; Hengquan Guo; Jingzhu He; Xin Liu (ICWS, 2024)

An LLM-based Readability Measurement for Unit Tests' Context-aware Inputs. - Zhichao Zhou; Yutian Tang; Yun Lin; Jingzhu He (CoRR, 2024)

Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation. - Zhichao Zhou; Yuming Zhou; Chunrong Fang; Zhenyu Chen 001; Xiapu Luo; Jingzhu He; Yutian Tang (IEEE Trans. Software Eng., 2024)

Self-Supervised Machine Learning Framework for Online Container Security Attack Detection. - Olufogorehan Tunde-Onadele; Yuhang Lin; Xiaohui Gu; Jingzhu He; Hugo Latapie (ACM Trans. Auton. Adapt. Syst., 2024)

Artemis: Toward Accurate Detection of Server-Side Request Forgeries through LLM-Assisted Inter-procedural Path-Sensitive Taint Analysis. - Yuchen Ji; Ting Dai; Zhichao Zhou; Yutian Tang; Jingzhu He (Proc. ACM Program. Lang., 2025)