Qiuyang Huang - RankMe

14 papers Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A unified prediction framework for vehicle position and motion state based on transformer-gated recurrent unit and multi-task learning. Eng. Appl. Artif. Intell. Xuliang Guo, Hongfei Jia, Qingyu Luo, Qiuyang Huang, Nan Wang, Zixuan Mao
2026	J	`jnl`	Jingdezhen ceramic culture in the digital era: a qualitative inquiry into digital dissemination and platform innovation. Frontiers Big Data Qiuyang Huang, Zhengjun Chen
2025	J	`jnl`	A hierarchical intersection system control framework in mixed traffic conditions. Expert Syst. Appl. Chao Liu, Hongfei Jia, Qiuyang Huang, Yang Cui
2025	J	`jnl`	A vehicle driving intention prediction method based on gated dual tower transformer model for autonomous driving. Expert Syst. Appl. Xuliang Guo, Hongfei Jia, Qiuyang Huang, Qingyu Luo, Nan Wang, Zixuan Mao
2025	J	`jnl`	Optimal scheduling of shared autonomous electric vehicles with multi-agent reinforcement learning: A MAPPO-based approach. Neurocomputing Jingjing Tian, Hongfei Jia, Guanfeng Wang, Qiuyang Huang, Ruiyi Wu, Heyao Gao, Chao Liu
2024	J	`jnl`	A hybrid deep learning model for urban expressway lane-level mixed traffic flow prediction. Eng. Appl. Artif. Intell. Heyao Gao, Hongfei Jia, Qiuyang Huang, Ruiyi Wu, Jingjing Tian, Guanfeng Wang, Chao Liu
2024	J	`jnl`	Multi-Lane Unsignalized Intersection Cooperation Strategy Considering Platoons Formation in a Mixed Connected Automated Vehicles and Connected Human-Driven Vehicles Environment. IEEE Trans. Intell. Transp. Syst. Ruiyi Wu, Hongfei Jia, Qiuyang Huang, Jingjing Tian, Heyao Gao, Guanfeng Wang
2023	J	`jnl`	Limi-TFP: Citywide Traffic Flow Prediction With Limited Road Status Information. IEEE Trans. Veh. Technol. Qiuyang Huang, Hongfei Jia, Yuanbo Xu, Yongjian Yang, Gaoxi Xiao
2023	J	`jnl`	The Effects of Climatological Factors on Global Influenza Across Temperate and Tropical Regions. Mob. Networks Appl. Zhilu Yuan, Shengjun Tang, Qiuyang Huang, Chijun Zhang, Zeynep Ertem, Zhanwei Du, Yuan Bai
2023	—	`conf`	Urban Public Transportation Accessibility Defects Mining Based on Multi-source Data Fusion. ICITE Hongfei Jia, Bo Zhuang, Ke Nie, Qiuyang Huang, Ruiyi Wu, Mengru Li
2022	J	`jnl`	Real-time POI recommendation via modeling long- and short-term user preferences. Neurocomputing Xin Liu, Yongjian Yang, Yuanbo Xu, Funing Yang, Qiuyang Huang, Hong Wang
2021	J	`jnl`	Citywide road-network traffic monitoring using large-scale mobile signaling data. Neurocomputing Qiuyang Huang, Yongjian Yang, Yuanbo Xu, Funing Yang, Zhilu Yuan, Yongxiong Sun
2020	—	`conf`	Analysis of Public Transport System Efficiency Based on Multi-layer Network. ICAIS (1) Lu Xu, Funing Yang, Zhezhou Yu, Qiuyang Huang, Xuan Ji, Yuanbo Xu
2014	—	`conf`	MemoryRetrospect: lifelogging with social awareness. UbiComp Adjunct Lipeng Liu, Rong Li, Yongxiong Sun, Yinghan Li, Zhanwei Du, Qiuyang Huang

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.