Zhe Zhang - RankMe

30 papers A* 5A 4C 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing. ICCAD Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li
2025	J	`jnl`	HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing. CoRR Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li
2025	J	`jnl`	LaMoSys3.5D: Enabling 3.5D-IC-Based Large Language Model Inference Serving Systems via Hardware/Software Co-Design. CoRR Qipan Wang, Zhe Zhang, Shuangchen Li, Hongzhong Zheng, Zheng Liang, Yibo Lin, Runsheng Wang, Ru Huang
2022	—	`conf`	184QPS/W 64Mb/mm ISSCC Dimin Niu, Shuangchen Li, Yuhao Wang, Wei Han, Zhe Zhang, Yijin Guan, Tianchan Guan, Fei Sun, Fei Xue, Lide Duan, Yuanwei Fang, Hongzhong Zheng, Xiping Jiang, Song Wang, Fengguo Zuo, Yubing Wang, Bing Yu, Qiwei Ren, Yuan Xie
2022	J	`jnl`	EPQuant: A Graph Neural Network compression approach based on product quantization. Neurocomputing Linyong Huang, Zhe Zhang, Zhaoyang Du, Shuangchen Li, Hongzhong Zheng, Yuan Xie, Nianxiong Tan
2022	A*	`conf`	Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network. HPCA Xingchen Li, Bingzhe Wu, Guangyu Sun, Zhe Zhang, Zhihang Yuan, Runsheng Wang, Ru Huang, Dimin Niu, Hongzhong Zheng, Zhichao Lu, Liang Zhao, Meng-Fan Marvin Chang, Tianchan Guan, Xin Si
2022	A*	`conf`	Hyperscale FPGA-as-a-service architecture for large-scale distributed graph neural network. ISCA Shuangchen Li, Dimin Niu, Yuhao Wang, Wei Han, Zhe Zhang, Tianchan Guan, Yijin Guan, Heng Liu, Linyong Huang, Zhaoyang Du, Fei Xue, Yuanwei Fang, Hongzhong Zheng, Yuan Xie
2022	J	`jnl`	Practical Near-Data-Processing Architecture for Large-Scale Distributed Graph Neural Network. IEEE Access Linyong Huang, Zhe Zhang, Shuangchen Li, Dimin Niu, Yijin Guan, Hongzhong Zheng, Yuan Xie
2021	A*	`conf`	BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices. DAC Zhe Zhou, Bizhao Shi, Zhe Zhang, Yijin Guan, Guangyu Sun, Guojie Luo
2021	J	`jnl`	BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices. CoRR Zhe Zhou, Bizhao Shi, Zhe Zhang, Yijin Guan, Guangyu Sun, Guojie Luo
2020	J	`jnl`	Circuit Reliability Comparison Between Stochastic Computing and Binary Computing. IEEE Trans. Circuits Syst. Zuodong Zhang, Runsheng Wang, Zhe Zhang, Yawen Zhang, Shaofeng Guo, Ru Huang
2020	—	`conf`	Reliability-Enhanced Circuit Design Flow Based on Approximate Logic Synthesis. ACM Great Lakes Symposium on VLSI Zuodong Zhang, Runsheng Wang, Zhe Zhang, Ru Huang, Chang Meng, Weikang Qian, Zhuangzhuang Zhou
2019	J	`jnl`	New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling Framework. CoRR Zhe Zhang, Runsheng Wang, Cheng Chen, Qianqian Huang, Yangyuan Wang, Cheng Hu, Dehuang Wu, Joddy Wang, Ru Huang
2019	—	`conf`	OMI/TMI-based Modeling and Fast Simulation of Random Telegraph Noise (RTN) in Advanced Logic Devices and Circuits. ASICON Runsheng Wang, Zhe Zhang, Shaofeng Guo, Qingxue Wang, Dehuang Wu, Joddy Wang, Ru Huang
2018	—	`conf`	Investigation on the amplitude coupling effect of random telegraph noise (RTN) in nanoscale FinFETs. IRPS Shaofeng Guo, Zhenghan Lin, Runsheng Wang, Zexuan Zhang, Zhe Zhang, Yangyuan Wang, Ru Huang
2018	J	`jnl`	PI-VIO: Robust and Efficient Stereo Visual Inertial Odometry using Points and Lines. CoRR Feng Zheng, Grace Tsai, Zhe Zhang, Shaoshan Liu, Chen-Chi Chu, Hongbing Hu
2018	J	`jnl`	PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures. CoRR Liu Liu, Shaoshan Liu, Zhe Zhang, Bo Yu, Jie Tang, Yuan Xie
2018	A*	`conf`	PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design. ICRA Zhe Zhang, Shaoshan Liu, Grace Tsai, Hongbing Hu, Chen-Chi Chu, Feng Zheng
2018	A	`conf`	Trifo-VIO: Robust and Efficient Stereo Visual Inertial Odometry Using Points and Lines. IROS Feng Zheng, Grace Tsai, Zhe Zhang, Shaoshan Liu, Chen-Chi Chu, Hongbing Hu
2018	A	`conf`	π-SoC: Heterogeneous SoC Architecture for Visual Inertial SLAM Applications. IROS Jie Tang, Bo Yu, Shaoshan Liu, Zhe Zhang, Weikang Fang, Yanjun Zhang
2017	J	`jnl`	CAAD: Computer Architecture for Autonomous Driving. CoRR Shaoshan Liu, Jie Tang, Zhe Zhang, Jean-Luc Gaudiot
2017	J	`jnl`	Computer Architectures for Autonomous Driving. Computer Shaoshan Liu, Jie Tang, Zhe Zhang, Jean-Luc Gaudiot
2017	J	`jnl`	Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm. CoRR Shaoshan Liu, Bolin Ding, Jie Tang, Dawei Sun, Zhe Zhang, Grace Tsai, Jean-Luc Gaudiot
2017	J	`jnl`	PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design. CoRR Zhe Zhang, Shaoshan Liu, Grace Tsai, Hongbing Hu, Chen-Chi Chu, Feng Zheng
2011	J	`jnl`	A novel 3D sensory system for robot-assisted mapping of cluttered urban search and rescue environments. Intell. Serv. Robotics Zhe Zhang, Goldie Nejat, Hong Guo, Peisen Huang
2011	J	`jnl`	Human Body Pose Interpretation and Classification for Social Human-Robot Interaction. Int. J. Soc. Robotics Derek McColl, Zhe Zhang, Goldie Nejat
2009	J	`jnl`	Intelligent Sensing Systems for Rescue Robots: Landmark Identification and Three-Dimensional Mapping of Unknown Cluttered Urban Search and Rescue Environments. Adv. Robotics Zhe Zhang, Goldie Nejat
2008	A	`conf`	Robot-assisted intelligent 3D mapping of unknown cluttered search and rescue environments. IROS Zhe Zhang, Goldie Nejat
2007	A*	`conf`	Finding Disaster Victims: A Sensory System for Robot-Assisted 3D Mapping of Urban Search and Rescue Environments. ICRA Zhe Zhang, Hong Guo, Goldie Nejat, Peisen Huang
2006	C	`conf`	Finding Disaster Victims: Robot-Assisted 3D Mapping of Urban Search and Rescue Environments via Landmark Identification. ICARCV Goldie Nejat, Zhe Zhang

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.