Zhengqing Chen

11 papers A* 1A 3Journal 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Composing Driving Worlds through Disentangled Control for Adversarial Scenario Generation. CoRR Yifan Zhan, Zhengqing Chen, Qingjie Wang, Zhuo He, Muyao Niu, Xiaoyang Guo, Wei Yin, Weiqiang Ren, Qian Zhang, Yinqiang Zheng
2026	J	`jnl`	Real-Time Road Surface Unevenness Recognition for ITS Using BWO-BiGRU-Transformer With Adaptive CKF. IEEE Trans. Intell. Transp. Syst. Xianteng Cao, Huawei Niu, Zhengqing Chen
2025	A	`conf`	SynthDrive: Scalable Real2Sim2Real Sensor Simulation Pipeline for High-Fidelity Asset Generation and Driving Data Synthesis. IROS Zhengqing Chen, Ruohong Mei, Xiaoyang Guo, Qingjie Wang, Yubin Hu, Wei Yin, Weiqiang Ren, Qian Zhang
2025	J	`jnl`	SynthDrive: Scalable Real2Sim2Real Sensor Simulation Pipeline for High-Fidelity Asset Generation and Driving Data Synthesis. CoRR Zhengqing Chen, Ruohong Mei, Xiaoyang Guo, Qingjie Wang, Yubin Hu, Wei Yin, Weiqiang Ren, Qian Zhang
2021	A*	`conf`	Deep Hybrid Self-Prior for Full 3D Mesh Generation. ICCV Xingkui Wei, Zhengqing Chen, Yanwei Fu, Zhaopeng Cui, Yinda Zhang
2021	J	`jnl`	Deep Hybrid Self-Prior for Full 3D Mesh Generation. CoRR Xingkui Wei, Zhengqing Chen, Yanwei Fu, Zhaopeng Cui, Yinda Zhang
2021	A	`conf`	Depth-Guided AdaIN and Shift Attention Network for Vision-And-Language Navigation. ICME Qiang Sun, Yifeng Zhuang, Zhengqing Chen, Yanwei Fu, Xiangyang Xue
2020	J	`jnl`	Probabilistic Updating of Structural Models for Damage Assessment Using Approximate Bayesian Computation. Sensors Zhouquan Feng, Yang Lin, Wenzan Wang, Xugang Hua, Zhengqing Chen
2020	J	`jnl`	Structural Model Identification Using a Modified Electromagnetism-Like Mechanism Algorithm. Sensors Zhouquan Feng, Zhengtao Ye, Wenzan Wang, Yang Lin, Zhengqing Chen, Xugang Hua
2009	A	`conf`	Spectral and temporal modulation features for phonetic recognition. INTERSPEECH Stephen A. Zahorian, Hongbing Hu, Zhengqing Chen, Jiang Wu
2007	J	`jnl`	Wind Tunnel and CFD Study on Identification of Flutter Derivatives of a Long-Span Self-Anchored Suspension Bridge. Comput. Aided Civ. Infrastructure Eng. Zhiwen Zhu, Ming Gu, Zhengqing 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.