Qinqun Chen - RankMe

20 papers Journal 9Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dual adaptive soft thresholding multimodal networks with contrastive augmentation for intrapartum fetal monitoring. Eng. Appl. Artif. Intell. Hongzhi Yao, Xueyi Lin, Lingshuang Tang, Guiqing Liu, Qinqun Chen, Hang Wei
2024	—	`conf`	CTGGAN: A modified generative adversarial network for imbalanced CTG signal classification during labor. BIBM Peilin Mai, Junyuan Feng, Luoyi Li, Qinqun Chen, Guiqing Liu, Hang Wei
2024	J	`jnl`	DANNMCTG: Domain-Adversarial Training of Neural Network for multicenter antenatal cardiotocography signal classification. Biomed. Signal Process. Control. Li Chen, Yue Fei, Bin Quan, Yuexing Hao, Qinqun Chen, Guiqing Liu, Xiaomu Luo, Li Li, Hang Wei
2024	J	`jnl`	Multicentric intelligent cardiotocography signal interpretation using deep semi-supervised domain adaptation via minimax entropy and domain invariance. Comput. Methods Programs Biomed. Jialu Li, Jun Li, Chenshuo Guo, Qinqun Chen, Guiqing Liu, Li Li, Xiaomu Luo, Hang Wei
2023	J	`jnl`	A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability. BMC Medical Informatics Decis. Mak. Junyuan Feng, Jincheng Liang, Zihan Qiang, Yuexing Hao, Xia Li, Li Li, Qinqun Chen, Guiqing Liu, Hang Wei
2023	J	`jnl`	Intelligent antepartum fetal monitoring via deep learning and fusion of cardiotocographic signals and clinical data. Health Inf. Sci. Syst. Zhen Cao, Guoqiang Wang, Ling Xu, Chaowei Li, Yuexing Hao, Qinqun Chen, Xia Li, Guiqing Liu, Hang Wei
2023	—	`conf`	Research on multimodal deep learning based on CNN and ViT for intrapartum fetal monitoring. BIBM Ling Xu, Guoqiang Wang, Zhen Cao, Qinqun Chen, Guiqing Liu, Hang Wei
2022	—	`conf`	Association rule analysis for fetal heart rate pattern of late FGR. BIBM Liyan Zhong, Shiyao Huang, Xia Li, Guiqing Liu, Qinqun Chen, Xiaomu Luo, Yuexing Hao, Jiaming Hong, Hang Wei
2022	J	`jnl`	Intelligent classification of antenatal cardiotocography signals via multimodal bidirectional gated recurrent units. Biomed. Signal Process. Control. Yue Fei, Fan Chen, Lifang He, Jiamin Chen, Yuexing Hao, Xia Li, Guiqing Liu, Qinqun Chen, Li Li, Hang Wei
2021	—	`conf`	Effective techniques for intelligent cardiotocography interpretation using XGB-RF feature selection and stacking fusion. BIBM Junyuan Feng, Jincheng Liang, Zihan Qiang, Xia Li, Qinqun Chen, Guiqing Liu, Jiaming Hong, Zhifeng Hao, Hang Wei
2021	J	`jnl`	Intelligent classification of antepartum cardiotocography model based on deep forest. Biomed. Signal Process. Control. Yandi Chen, Ao Guo, Qinqun Chen, Bin Quan, Guiqing Liu, Li Li, Jiaming Hong, Hang Wei, Zhifeng Hao
2021	J	`jnl`	Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records. BMC Medical Informatics Decis. Mak. Liting Huang, Zhiying Jiang, Ruichu Cai, Li Li, Qinqun Chen, Jiaming Hong, Zhifeng Hao, Hang Wei
2021	—	`conf`	Research on the Design of Active Learning Algorithm based on Query-by-Committee for Intelligent Fetal Monitoring. BIBM Bin Quan, Manli Yang, Xia Li, Qinqun Chen, Guiqing Liu, Jiaming Hong, Zhifeng Hao, Li Li, Hang Wei
2020	—	`conf`	Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System. BIBM Yue Fei, Xiaoqian Huang, Qinqun Chen, Jiamin Chen, Li Li, Jiaming Hong, Zhifeng Hao, Hang Wei
2019	—	`conf`	Imbalanced Cardiotocography Multi-classification for Antenatal Fetal Monitoring Using Weighted Random Forest. ICSH Jiaying Chen, Xiaocong Liu, Hang Wei, Qinqun Chen, Jiaming Hong, Qiongna Li, Zhifeng Hao
2017	J	`jnl`	Fuzzy clustering algorithms for identification of Exocarpium Citrus Grandis through chromatography. Soft Comput. Hang Wei, Li Lin, Honglai Zhang, Yangyang Xu, Shao-dong Deng, Jiajing Yu, Jiaming Hong, Rui Chen, Qinqun Chen
2016	—	`conf`	A Real Adjacency Matrix-Coded Differential Evolution Algorithm for Traveling Salesman Problems. BIC-TA (2) Hang Wei, Zhifeng Hao, Han Huang, Gang Li, Qinqun Chen
2013	—	`conf`	Application of patient-reported outcomes in clinical evaluation of acupuncture for cervical spondylosis with artificial neural network. BIBM Hang Wei, Ziping Li, Honglai Zhang, Qinqun Chen, Zhao-hui Liang, Li-sha Chen
2013	—	`conf`	Deriving mutual modes from HPLC fingerprints of traditional Chinese medicine with non-negative matrix factorization. BIBM Hang Wei, Li Lin, Qinqun Chen, Honglai Zhang, Shao-dong Deng, Cai-xia Liang
2012	—	`conf`	Automatic identification peaks in chromatographic fingerprints based on fuzzy matching. FSKD Hang Wei, Li Lin, Honglai Zhang, Qinqun Chen

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.