Zejun Zhang - RankMe

16 papers A* 3B 1Misc 1Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FakeHunter: Multimodal Step-by-Step Reasoning for Explainable Video Forensics. CoRR Chen Chen, Runze Li, Zejun Zhang, Pukun Zhao, Fanqing Zhou, Longxiang Wang, Haojian Huang
2025	A*	`conf`	NIER: Practical Neural-enhanced Low-bitrate Video Conferencing. SIGCOMM Anlan Zhang, Yuming Hu, Chendong Wang, Yu Liu, Zejun Zhang, Haoyu Gong, Ahmad Hassan, Shichang Xu, Zhenhua Li, Bo Han, Feng Qian
2025	J	`jnl`	ReNiL: Relative Neural Inertial Locator with Any-Scale Bayesian Inference. CoRR Kaixuan Wu, Yuanzhuo Xu, Zejun Zhang, Weiping Zhu, Steve Drew, Xiaoguang Niu
2025	B	`conf`	THAT: Token-wise High-frequency Augmentation Transformer for Hyperspectral Pansharpening. SMC Hongkun Jin, Hongcheng Jiang, Zejun Zhang, Yuan Zhang, Jia Fu, Tingfeng Li, Kai Luo
2025	J	`jnl`	THAT: Token-wise High-frequency Augmentation Transformer for Hyperspectral Pansharpening. CoRR Hongkun Jin, Hongcheng Jiang, Zejun Zhang, Yuan Zhang, Jia Fu, Tingfeng Li, Kai Luo
2024	J	`jnl`	A First Look at GPT Apps: Landscape and Vulnerability. CoRR Zejun Zhang, Li Zhang, Xin Yuan, Anlan Zhang, Mengwei Xu, Feng Qian
2024	A*	`conf`	An In-depth Study of Bandwidth Allocation across Media Sources in Video Conferencing. ACM Multimedia Zejun Zhang, Xiao Zhu, Anlan Zhang, Feng Qian
2024	J	`jnl`	Dynamic selection for reconstructing instance-dependent noisy labels. Pattern Recognit. Jie Yang, Xiaoguang Niu, Yuanzhuo Xu, Zejun Zhang, Guangyi Guo, Steve Drew, Ruizhi Chen
2024	Misc	`conf`	Habitus: Boosting Mobile Immersive Content Delivery through Full-body Pose Tracking and Multipath Networking. NSDI Anlan Zhang, Chendong Wang, Yuming Hu, Ahmad Hassan, Zejun Zhang, Bo Han, Feng Qian, Shichang Xu
2024	—	`conf`	HoloClass: Enhancing VR Classroom with Live Volumetric Video Streaming. UIST (Adjunct Volume) Yu Liu, Qiao Jin, Zejun Zhang, Bo Han, Svetlana Yarosh, Feng Qian
2024	A*	`conf`	MuV2: Scaling up Multi-user Mobile Volumetric Video Streaming via Content Hybridization and Sharing. MobiCom Yu Liu, Puqi Zhou, Zejun Zhang, Anlan Zhang, Bo Han, Zhenhua Li, Feng Qian
2023	—	`conf`	A Closer Look at Stand-Alone 5G Deployments from the UE Perspective. MeditCom Wei Ye, Jason Carpenter, Zejun Zhang, Rostand A. K. Fezeu, Feng Qian, Zhi-Li Zhang
2019	J	`jnl`	BCE: A Behavior-Learning-Based Crowdedness Estimation Mechanism for Crowdsensing Buses. IEEE Access Xiaoguang Niu, Da Shen, Zejun Zhang, Zhen Wang, Jiawei Wang, Haiming Chen
2019	J	`jnl`	Online Learning-Based WIFI Radio Map Updating Considering High-Dynamic Environmental Factors. IEEE Access Xiaoguang Niu, Zejun Zhang, Ankang Wang, Jingbin Liu, Shubo Liu
2018	—	`conf`	Preliminary Study on Evaluation of Smart-Cities Technologies and Proposed UV Lifestyles. UV Shengsheng Cao, Yanxi Chen, Guanghua Cheng, Fuxin Du, Wenyang Gao, Ziyan He, Shuqing Li, Shijun Lun, Haoran Ma, Qikai Su, Chuyuan Zhang, Tianyi Zhang, Zejun Zhang, Jie Zheng, Longfei Zhou, Yajun Fang
2018	—	`conf`	Real-time Learning-based Monitoring System for Water Contamination. UV Qi Chen, Guanghua Cheng, Yajun Fang, Yang Liu, Zejun Zhang, Yiyang Gao, Berthold K. P. Horn

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.