Qing Qin - RankMe

18 papers C 1Journal 9Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Artificial intelligence in orthokeratology for myopia control: A review. Neurocomputing Yunhua Tang, Zhen Peng, Wenyan Peng, Jianfang Yang, Qing Qin, Yinyu Ke, Liang He, Fuwen Zhang
2026	J	`jnl`	FeedbackSTS-Det: Sparse Frames-Based Spatio-Temporal Semantic Feedback Network for Infrared Small Target Detection. CoRR Yian Huang, Qing Qin, Aji Mao, Xiangyu Qiu, Liang Xu, Xian Zhang, Zhenming Peng
2026	J	`jnl`	MBE-UNet: Multi-Branch Boundary Enhanced U-Net for Ultrasound Segmentation. IEEE J. Biomed. Health Informatics Qing Qin, Ziwei Lin, Guangyuan Gao, Chunxiao Han, Ruofan Wang, Yingmei Qin, Shanshan Li, Shan An, Yanqiu Che
2025	—	`conf`	Large-Scale Stance Analysis of Public Discourse on Anti-Obesity Drugs Using Locally Deployed LLMs. BCB Shengtian Huang, Qing Qin, Dawei Liu
2024	J	`jnl`	A review of retinal vessel segmentation for fundus image analysis. Eng. Appl. Artif. Intell. Qing Qin, Yuanyuan Chen
2024	J	`jnl`	Charactering Neural Spiking Activity Evoked by Acupuncture Through Coupling Generalized Linear Model. Entropy Qing Qin, Kaiyue Zhang, Yanqiu Che, Chunxiao Han, Yingmei Qin, Shanshan Li
2024	J	`jnl`	Interaction and manipulation for non-autonomous bright soliton solution of the coupled derivative nonlinear Schrödinger equations with Riemann-Hilbert method. Appl. Math. Lett. Li Li, Fajun Yu, Qing Qin
2023	—	`conf`	A 3-Wafer-Stacked Hybrid 15MPixel CIS + 1 MPixel EVS with 4.6GEvent/s Readout, In-Pixel TDC and On-Chip ISP and ESP Function. ISSCC Menghan Guo, Shoushun Chen, Zhe Gao, Wenlei Yang, Peter Bartkovjak, Qing Qin, Xiaoqin Hu, Dahei Zhou, Masayuki Uchiyama, Shimpei Fukuoka, Chengcheng Xu, Hiroaki Ebihara, Andy Wang, Peiwen Jiang, Bo Jiang, Bo Mu, Huan Chen, Jason Yang, TJ Dai, Andreas Suess, Yoshiharu Kudo
2023	J	`jnl`	A Three-Wafer-Stacked Hybrid 15-MPixel CIS + 1-MPixel EVS With 4.6-GEvent/s Readout, In-Pixel TDC, and On-Chip ISP and ESP Function. IEEE J. Solid State Circuits Menghan Guo, Shoushun Chen, Zhe Gao, Wenlei Yang, Peter Bartkovjak, Qing Qin, Xiaoqin Hu, Dahai Zhou, Qiping Huang, Masayuki Uchiyama, Yoshiharu Kudo, Shimpei Fukuoka, Chengcheng Xu, Hiroaki Ebihara, Xueqing Wang, Peiwen Jiang, Bo Jiang, Bo Mu, Huan Chen, Jason Yang, TJ Dai, Andreas Suess
2023	J	`jnl`	An integrating spherical fuzzy AHP and axiomatic design approach and its application in human-machine interface design evaluation. Eng. Appl. Artif. Intell. Qinghua Liu, Jiadui Chen, Kai Yang, Dan Liu, Ling He, Qing Qin, Yuqing Wang
2022	—	`conf`	Research on laser welding pressure control system based on MAC-IBA. ICCSIE Keliang Zhou, Qing Qin, Doudou Lu
2020	C	`conf`	Effect of Degree Distribution on Signal Propagation Based on Heterogeneous High-frequency Stimuli in Feedforward Networks. BIBE Bin Xue, Yingmei Qin, Jing Liu, Qing Qin, Chunxiao Han
2020	—	`conf`	Epileptic Seizure Prediction from the Scalp EEG Signals by using Random Forest Algorithm. CISP-BMEI Ziyu Hu, Chunxiao Han, Fengjuan Guo, Qing Qin, Shanshan Li, Yingmei Qin
2020	—	`conf`	Seizure Suppression in a Thalamocortical Computational Model of Absence Epilepsy by Linear Delayed Feedback Control. CISP-BMEI Bo Zhou, Yanqiu Che, Qing Qin, Yingmei Qin, Chunxiao Han
2019	—	`conf`	Effects of Degree Distribution on Signal Propagation in the Heterogeneous Feedforward Neural Network. CISP-BMEI Yingmei Qin, Bin Xue, Hailing Zheng, Chunxiao Han, Qing Qin, Tinghang Guo
2019	—	`conf`	Power Analysis of EEG Data in Multiple Brain Regions during Fatigue Driving. CISP-BMEI Yaru Yang, Chunxiao Han, Xiaozhou Sun, Fengjuan Guo, Yingmei Qin, Qing Qin, Tinghang Guo
2018	—	`conf`	To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference. ISPA/IUCC/BDCloud/SocialCom/SustainCom Qing Qin, Jie Ren, Jialong Yu, Hai Wang, Ling Gao, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang
2018	J	`jnl`	To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference. CoRR Qing Qin, Jie Ren, Jialong Yu, Ling Gao, Hai Wang, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang

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.