Zhengdong Zhang

29 papers A* 3A 1B 1Journal 12Unranked 11

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	FSMI: Fast computation of Shannon mutual information for information-theoretic mapping. Int. J. Robotics Res. Zhengdong Zhang, Theia Henderson, Sertac Karaman, Vivienne Sze
2019	—	`—`	Efficient computing for autonomous navigation using algorithm-and-hardware co-design. Zhengdong Zhang
2019	A*	`conf`	FSMI: Fast Computation of Shannon Mutual Information for Information-Theoretic Mapping. ICRA Zhengdong Zhang, Trevor Henderson, Vivienne Sze, Sertac Karaman
2019	J	`jnl`	FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping. CoRR Zhengdong Zhang, Trevor Henderson, Sertac Karaman, Vivienne Sze
2019	—	`conf`	High-Throughput Computation of Shannon Mutual Information on Chip. Robotics: Science and Systems Peter Zhi Xuan Li, Zhengdong Zhang, Sertac Karaman, Vivienne Sze
2019	J	`jnl`	Navion: A 2-mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. IEEE J. Solid State Circuits Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze
2018	—	`conf`	Hardware for machine learning: Challenges and opportunities. CICC Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang
2018	J	`jnl`	Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. CoRR Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze
2018	—	`conf`	Navion: A Fully Integrated Energy-Efficient Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. VLSI Circuits Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze
2017	J	`jnl`	A 58.6 mW 30 Frames/s Real-Time Programmable Multiobject Detection Accelerator With Deformable Parts Models on Full HD 1920×1080 Videos. IEEE J. Solid State Circuits Amr Suleiman, Zhengdong Zhang, Vivienne Sze
2017	—	`conf`	FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos. CVPR Workshops Zhengdong Zhang, Vivienne Sze
2017	—	`conf`	Hardware for machine learning: Challenges and opportunities. CICC Vivienne Sze, Yu-Hsin Chen, Joel S. Einer, Amr Suleiman, Zhengdong Zhang
2017	—	`conf`	Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach. Robotics: Science and Systems Zhengdong Zhang, Amr Suleiman, Luca Carlone, Vivienne Sze, Sertac Karaman
2016	J	`jnl`	A 58.6mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps. CoRR Amr Suleiman, Zhengdong Zhang, Vivienne Sze
2016	—	`conf`	A 58.6mW real-time programmable object detector with multi-scale multi-object support using deformable parts model on 1920×1080 video at 30fps. VLSI Circuits Amr Suleiman, Zhengdong Zhang, Vivienne Sze
2016	J	`jnl`	FAST: Free Adaptive Super-Resolution via Transfer for Compressed Videos. CoRR Zhengdong Zhang, Vivienne Sze
2016	J	`jnl`	Hardware for Machine Learning: Challenges and Opportunities. CoRR Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang
2016	J	`jnl`	Texture Repairing by Unified Low Rank Optimization. J. Comput. Sci. Technol. Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma
2015	B	`conf`	Rotate intra block copy for still image coding. ICIP Zhengdong Zhang, Vivienne Sze
2015	—	`conf`	SparkleVision: Seeing the world through random specular microfacets. CVPR Workshops Zhengdong Zhang, Phillip Isola, Edward H. Adelson
2014	J	`jnl`	Robust Subspace Discovery via Relaxed Rank Minimization. Neural Comput. Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu
2012	—	`conf`	One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery. ACCV (1) Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu
2012	—	`conf`	Repairing Sparse Low-Rank Texture. ECCV (5) Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma
2012	J	`jnl`	TILT: Transform Invariant Low-Rank Textures. Int. J. Comput. Vis. Zhengdong Zhang, Arvind Ganesh, Xiao Liang, Yi Ma
2011	A*	`conf`	Camera calibration with lens distortion from low-rank textures. CVPR Zhengdong Zhang, Yasuyuki Matsushita, Yi Ma
2011	A*	`conf`	Unwrapping low-rank textures on generalized cylindrical surfaces. ICCV Zhengdong Zhang, Xiao Liang, Yi Ma
2010	A	`conf`	Decomposing background topics from keywords by principal component pursuit. CIKM Kerui Min, Zhengdong Zhang, John Wright, Yi Ma
2010	—	`conf`	TILT: Transform Invariant Low-Rank Textures. ACCV (3) Zhengdong Zhang, Xiao Liang, Arvind Ganesh, Yi Ma
2010	J	`jnl`	TILT: Transform Invariant Low-rank Textures CoRR Zhengdong Zhang, Arvind Ganesh, Xiao Liang, Yi Ma

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.