Zewei Zhou - RankMe

26 papers A* 3A 1Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning. AAAI Tianhui Cai, Yifan Liu, Zewei Zhou, Haoxuan Ma, Seth Z. Zhao, Zhiwen Wu, Xu Han, Zhiyu Huang, Jiaqi Ma
2026	J	`jnl`	Risk Map as Middleware: Toward Interpretable Cooperative End-to-End Autonomous Driving for Risk-Aware Planning. IEEE Robotics Autom. Lett. Mingyue Lei, Zewei Zhou, Hongchen Li, Jiaqi Ma, Jia Hu
2025	J	`jnl`	AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning. CoRR Zewei Zhou, Tianhui Cai, Seth Z. Zhao, Yun Zhang, Zhiyu Huang, Bolei Zhou, Jiaqi Ma
2025	A*	`conf`	Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving. ICRA Xinyu Zhang, Zewei Zhou, Zhaoyi Wang, Yangjie Ji, Yanjun Huang, Hong Chen
2025	J	`jnl`	Co-MTP: A Cooperative Trajectory Prediction Framework with Multi-Temporal Fusion for Autonomous Driving. CoRR Xinyu Zhang, Zewei Zhou, Zhaoyi Wang, Yangjie Ji, Yanjun Huang, Hong Chen
2025	A	`conf`	CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction. IROS Mingyue Lei, Zewei Zhou, Hongchen Li, Jia Hu, Jiaqi Ma
2025	J	`jnl`	CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction. CoRR Mingyue Lei, Zewei Zhou, Hongchen Li, Jia Hu, Jiaqi Ma
2025	J	`jnl`	MDG: Masked Denoising Generation for Multi-Agent Behavior Modeling in Traffic Environments. CoRR Zhiyu Huang, Zewei Zhou, Tianhui Cai, Yun Zhang, Jiaqi Ma
2025	J	`jnl`	MIC-BEV: Multi-Infrastructure Camera Bird's-Eye-View Transformer with Relation-Aware Fusion for 3D Object Detection. CoRR Yun Zhang, Zhaoliang Zheng, Johnson Liu, Zhiyu Huang, Zewei Zhou, Zonglin Meng, Tianhui Cai, Jiaqi Ma
2025	J	`jnl`	QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception. CoRR Seth Z. Zhao, Huizhi Zhang, Zhaowei Li, Juntong Peng, Anthony Chui, Zewei Zhou, Zonglin Meng, Hao Xiang, Zhiyu Huang, Fujia Wang, Ran Tian, Chenfeng Xu, Bolei Zhou, Jiaqi Ma
2025	J	`jnl`	RelMap: Enhancing Online Map Construction with Class-Aware Spatial Relation and Semantic Priors. CoRR Tianhui Cai, Yun Zhang, Zewei Zhou, Zhiyu Huang, Jiaqi Ma
2025	J	`jnl`	Risk Map As Middleware: Towards Interpretable Cooperative End-to-end Autonomous Driving for Risk-Aware Planning. CoRR Mingyue Lei, Zewei Zhou, Hongchen Li, Jiaqi Ma, Jia Hu
2025	J	`jnl`	RoboPilot: Generalizable Dynamic Robotic Manipulation with Dual-thinking Modes. CoRR Xinyi Liu, Mohammadreza Fani Sani, Zewei Zhou, Julius Wirbel, Bahram Zarrin, Roberto Galeazzi
2025	J	`jnl`	TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction. CoRR Zewei Zhou, Seth Z. Zhao, Tianhui Cai, Zhiyu Huang, Bolei Zhou, Jiaqi Ma
2025	J	`jnl`	V2X-ReaLO: An Open Online Framework and Dataset for Cooperative Perception in Reality. CoRR Hao Xiang, Zhaoliang Zheng, Xin Xia, Seth Z. Zhao, Letian Gao, Zewei Zhou, Tianhui Cai, Yun Zhang, Jiaqi Ma
2024	—	`conf`	Co-HTTP: Cooperative Trajectory Prediction with Heterogeneous Graph Transformer for Autonomous Driving. ITSC Xinyu Zhang, Zewei Zhou, Yangjie Ji, Jiaming Xing, Zhaoyi Wang, Yanjun Huang
2024	J	`jnl`	Cooperative Localization in Transportation 5.0. IEEE Trans. Intell. Veh. Letian Gao, Xin Xia, Zhaoliang Zheng, Hao Xiang, Zonglin Meng, Xu Han, Zewei Zhou, Yi He, Yutong Wang, Zhaojian Li, Yubiao Zhang, Jiaqi Ma
2024	J	`jnl`	Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM. CoRR Tianhui Cai, Yifan Liu, Zewei Zhou, Haoxuan Ma, Seth Z. Zhao, Zhiwen Wu, Jiaqi Ma
2024	J	`jnl`	Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0. IEEE Trans. Intell. Veh. Xu Han, Zonglin Meng, Xin Xia, Xishun Liao, Brian Yueshuai He, Zhaoliang Zheng, Yutong Wang, Hao Xiang, Zewei Zhou, Letian Gao, Lili Fan, Yuke Li, Jiaqi Ma
2024	—	`conf`	V2X-Real: A Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception. ECCV (52) Hao Xiang, Zhaoliang Zheng, Xin Xia, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, Li Jin, Mingyue Lei, Zhaoyang Ma, Zihang He, Haoxuan Ma, Yunshuang Yuan, Yingqian Zhao, Jiaqi Ma
2024	J	`jnl`	V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception. CoRR Hao Xiang, Zhaoliang Zheng, Xin Xia, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, Li Jin, Mingyue Lei, Zhaoyang Ma, Zihang He, Haoxuan Ma, Yunshuang Yuan, Yingqian Zhao, Jiaqi Ma
2024	J	`jnl`	V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction. CoRR Zewei Zhou, Hao Xiang, Zhaoliang Zheng, Seth Z. Zhao, Mingyue Lei, Yun Zhang, Tianhui Cai, Xinyi Liu, Johnson Liu, Maheswari Bajji, Jacob Pham, Xin Xia, Zhiyu Huang, Bolei Zhou, Jiaqi Ma
2023	A*	`conf`	Noise and Environmental Justice in Drone Fleet Delivery Paths: A Simulation-Based Audit and Algorithm for Fairer Impact Distribution. ICRA Zewei Zhou, Martim Brandão
2023	—	`conf`	Optimization of Roadside Sensors Placement for Cooperative Vehicle-Infrastructure System. ITSC Yangjie Ji, Ziru Yang, Zewei Zhou, Yanjun Huang, Jianyong Cao, Lu Xiong, Zhuoping Yu
2023	—	`conf`	Personalized Decision-Making and Control for Automated Vehicles Based on Generative Adversarial Imitation Learning. ITSC Xinyue Tang, Kang Yuan, Shangwen Li, Shuo Yang, Zewei Zhou, Yanjun Huang
2022	J	`jnl`	A Survey on Trajectory-Prediction Methods for Autonomous Driving. IEEE Trans. Intell. Veh. Yanjun Huang, Jiatong Du, Ziru Yang, Zewei Zhou, Lin Zhang, Hong 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.