POND: A Novel Protocol for Network Coding Based on Hybrid Cryptographic Scheme. - Chengqiang Huang; Atsuko Miyaji; Longhai Li; Shangmei Xu (CIT, 2014)

Towards Experienced Anomaly Detector Through Reinforcement Learning. - Chengqiang Huang; Yulei Wu; Yuan Zuo; Ke Pei; Geyong Min (AAAI, 2018)

SP-Phoenix: A Massive Spatial Point Data Management System Based on Phoenix. - Longhai Li; Wendong Liu; Zhaoyu Zhong; Chengqiang Huang (HPCC/SmartCity/DSS, 2018)

Kernelized Convex Hull Approximation and its Applications in Data Description Tasks. - Chengqiang Huang; Yulei Wu; Geyong Min; Yiming Ying (IJCNN, 2018)

Featured anomaly detection methods and applications. - Chengqiang Huang (2018)

Terminator: An Efficient and Light-weight Fault Localization Framework. - Yuxing Li; Hu Zheng; Chengqiang Huang; Ke Pei; Jinghui Li; Longbo Huang (INFOCOM Workshops, 2020)

An Intelligent Anomaly Detection Scheme for Micro-Services Architectures With Temporal and Spatial Data Analysis. - Yuan Zuo; Yulei Wu; Geyong Min; Chengqiang Huang; Ke Pei (IEEE Trans. Cogn. Commun. Netw., 2020)

Resilient Range-Based d-Dimensional Localization for Mobile Sensor Networks. - Haojun Huang; Wang Miao; Geyong Min; Chengqiang Huang; Xu Zhang 006; Chen Wang 011 (IEEE/ACM Trans. Netw., 2020)

Statistical Certification of Acceptable Robustness for Neural Networks. - Chengqiang Huang; Hu Zheng; Xiaowei Huang 001; Ke Pei (ICANN (1), 2021)

Adaptive Retraining for Neural Network Robustness in Classification. - Ruozhu Yao; Chengqiang Huang; Zheng Hu 002; Ke Pei (IJCNN, 2021)

An Ontological Analysis of Safety-Critical Software and Its Anomalies. - Hezhen Liu; Zhi Jin; Zheng Zheng; Chengqiang Huang; Xun Zhang (QRS, 2022)

Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems. - Chengqiang Huang; Geyong Min; Yulei Wu; Yiming Ying; Ke Pei; Zuochang Xiang (IEEE Trans. Big Data, 2022)

A Fault Injection and Formal Verification Framework Based on UML Sequence Diagrams. - Hezhen Liu; Jiacheng Yin; Chengqiang Huang; Hao Lan; Zhi Jin; Zheng Zheng; Xun Zhang (ISSREW, 2023)

AAsclepius: Monitoring, Diagnosing, and Detouring at the Internet Peering Edge. - Kaicheng Yang 001; Yuanpeng Li 002; Sheng Long; Tong Yang 003; Ruijie Miao; Yikai Zhao 001; Chaoyang Ji; Penghui Mi; Guodong Yang; Qiong Xie; Hao Wang 005; Yinhua Wang; et al. (USENIX ATC, 2023)

Color-distorted image dataset. - Chengqiang Huang (IEEE DataPort, 2023)

Reliability-Aware Network Slicing based on Multi-Objective Optimization. - Qiqi Xia; Jin Wang; Chengqiang Huang; Xin Yao (CEC, 2024)

Design for dependability - State of the art and trends. - Hezhen Liu; Chengqiang Huang; Ke Sun; Jiacheng Yin; Xiaoyu Wu; Jin Wang; Qunli Zhang; Yang Zheng; Vivek Nigam; Feng Liu; Joseph Sifakis (J. Syst. Softw., 2024)

Dataset for salt-and-pepper noise image classification, noise marking and denoising. - Chengqiang Huang (IEEE DataPort, 2024)

Salt-and-pepper denoising based on lightweight convolutional neural networks for flexible AMOLED. - Chengqiang Huang; Yanjun Yang; Yinghu He (IET Image Process., 2025)