Zechen Zhang - RankMe

15 papers A* 1A 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sci-Reasoning: A Dataset Decoding AI Innovation Patterns. CoRR Jiachen Liu, Maestro Harmon, Zechen Zhang
2025	J	`jnl`	Memorization and Knowledge Injection in Gated LLMs. CoRR Xu Pan, Ely Hahami, Zechen Zhang, Haim Sompolinsky
2025	J	`jnl`	Pansharpening Based on Multiresolution Panchromatic Feature Guidance. IEEE Trans. Geosci. Remote. Sens. Jian Wang, Hao Zhou, Jiafu Chen, Zechen Zhang, Xinqi Li, Lihui Zhou
2025	A*	`conf`	When narrower is better: the narrow width limit of Bayesian parallel branching neural networks. ICLR Zechen Zhang, Haim Sompolinsky
2024	J	`jnl`	A high-dimensional omnibus test for set-based association analysis. Briefings Bioinform. Haitao Yang, Xin Wang, Zechen Zhang, Fuzhao Chen, Hongyan Cao, Lina Yan, Xia Gao, Hui Dong, Yuehua Cui
2024	—	`conf`	ConvConcatNet: A Deep Convolutional Neural Network to Reconstruct Mel Spectrogram from the EEG. ICASSP Workshops Xiran Xu, Bo Wang, Yujie Yan, Haolin Zhu, Zechen Zhang, Xihong Wu, Jing Chen
2024	J	`jnl`	ConvConcatNet: a deep convolutional neural network to reconstruct mel spectrogram from the EEG. CoRR Xiran Xu, Bo Wang, Yujie Yan, Haolin Zhu, Zechen Zhang, Xihong Wu, Jing Chen
2024	J	`jnl`	DPH-YOLOv8: Improved YOLOv8 Based on Double Prediction Heads for the UAV Image Object Detection. IEEE Trans. Geosci. Remote. Sens. Jian Wang, Xinqi Li, Jiafu Chen, Lihui Zhou, Linyang Guo, Zihao He, Hao Zhou, Zechen Zhang
2024	J	`jnl`	Real-World Aircraft Recognition Based on RF Fingerprinting With Few Labeled ADS-B Signals. IEEE Trans. Veh. Technol. Zechen Zhang, Guyue Li, Jitong Shi, Haobo Li, Aiqun Hu
2024	J	`jnl`	Robust Learning in Bayesian Parallel Branching Graph Neural Networks: The Narrow Width Limit. CoRR Zechen Zhang, Haim Sompolinsky
2024	—	`conf`	Self-Supervised Speech Representation and Contextual Text Embedding for Match-Mismatch Classification with EEG Recording. ICASSP Workshops Bo Wang, Xiran Xu, Zechen Zhang, Haolin Zhu, Yujie Yan, Xihong Wu, Jing Chen
2024	J	`jnl`	Self-supervised speech representation and contextual text embedding for match-mismatch classification with EEG recording. CoRR Bo Wang, Xiran Xu, Zechen Zhang, Haolin Zhu, Yujie Yan, Xihong Wu, Jing Chen
2023	A	`conf`	Emotion Classification with EEG Responses Evoked by Emotional Prosody of Speech. INTERSPEECH Zechen Zhang, Xihong Wu, Jing Chen
2023	J	`jnl`	Linear Latent World Models in Simple Transformers: A Case Study on Othello-GPT. CoRR Dean S. Hazineh, Zechen Zhang, Jeffery Chiu
2017	—	`conf`	A secure and reliable coding scheme over wireless links in cyber-physical systems. ICC Workshops Zechen Zhang, Wei Peng, Song Liu

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.