UBL: unsupervised behavior learning for predicting performance anomalies in virtualized cloud systems. - Daniel Joseph Dean; Hiep Nguyen; Xiaohui Gu (ICAC, 2012)

PerfScope: Practical Online Server Performance Bug Inference in Production Cloud Computing Infrastructures. - Daniel Joseph Dean; Hiep Nguyen; Xiaohui Gu; Hui Zhang 002; Junghwan Rhee; Nipun Arora; Geoff Jiang (SoCC, 2014)

PREC: practical root exploit containment for android devices. - Tsung-Hsuan Ho; Daniel Joseph Dean; Xiaohui Gu; William Enck (CODASPY, 2014)

PerfCompass: Toward Runtime Performance Anomaly Fault Localization for Infrastructure-as-a-Service Clouds. - Daniel Joseph Dean; Hiep Nguyen; Peipei Wang; Xiaohui Gu (HotCloud, 2014)

Insight: In-situ Online Service Failure Path Inference in Production Computing Infrastructures. - Hiep Nguyen; Daniel Joseph Dean; Kamal Kc; Xiaohui Gu (USENIX ATC, 2014)

Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds. - Juan Du 006; Daniel Joseph Dean; Yongmin Tan; Xiaohui Gu; Ting Yu 001 (IEEE Trans. Parallel Distributed Syst., 2014)

Understanding Real World Data Corruptions in Cloud Systems. - Peipei Wang; Daniel Joseph Dean; Xiaohui Gu (IC2E, 2015)

Automatic Server Hang Bug Diagnosis: Feasible Reality or Pipe Dream? - Daniel Joseph Dean; Peipei Wang; Xiaohui Gu; William Enck; Guoliang Jin (ICAC, 2015)

PerfCompass: Online Performance Anomaly Fault Localization and Inference in Infrastructure-as-a-Service Clouds. - Daniel Joseph Dean; Hiep Nguyen; Peipei Wang; Xiaohui Gu; Anca Sailer; Andrzej Kochut (IEEE Trans. Parallel Distributed Syst., 2016)

Engineering Scalable, Secure, Multi-Tenant Cloud for Healthcare Data. - Daniel Joseph Dean; Rohit Ranchal; Yu Gu; Anca Sailer; Shakil Khan; Kirk A. Beaty; Senthil Bakthavachalam; Yichong Yu; Yaoping Ruan; Paul Bastide 001 (SERVICES, 2017)

Hytrace: A Hybrid Approach to Performance Bug Diagnosis in Production Cloud Infrastructures. - Ting Dai; Daniel Joseph Dean; Peipei Wang; Xiaohui Gu; Shan Lu 001 (IEEE Trans. Parallel Distributed Syst., 2019)