Zechen Hu - RankMe

19 papers A* 2A 4Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CARoL: Context-Aware Adaptation for Robot Learning. IEEE Robotics Autom. Lett. Zechen Hu, Tong Xu, Xuesu Xiao, Xuan Wang
2025	J	`jnl`	CARoL: Context-aware Adaptation for Robot Learning. CoRR Zechen Hu, Tong Xu, Xuesu Xiao, Xuan Wang
2025	J	`jnl`	Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation. CoRR Pengxiang Li, Zechen Hu, Zirui Shang, Jingrong Wu, Yang Liu, Hui Liu, Zhi Gao, Chenrui Shi, Bofei Zhang, Zihao Zhang, Xiaochuan Shi, Zedong Yu, Yuwei Wu, Xinxiao Wu, Yunde Jia, Liuyu Xiang, Zhaofeng He, Qing Li
2025	J	`jnl`	Mocap-2-to-3: Lifting 2D Diffusion-Based Pretrained Models for 3D Motion Capture. CoRR Zhumei Wang, Zechen Hu, Ruoxi Guo, Huaijin Pi, Ziyong Feng, Sida Peng, Xiaowei Zhou
2025	A	`conf`	Robust Online Calibration for UWB-Aided Visual-Inertial Navigation with Bias Correction. IROS Yizhi Zhou, Jie Xu, Jiawei Xia, Zechen Hu, Weizi Li, Xuan Wang
2025	J	`jnl`	Robust Online Calibration for UWB-Aided Visual-Inertial Navigation with Bias Correction. CoRR Yizhi Zhou, Jie Xu, Jiawei Xia, Zechen Hu, Weizi Li, Xuan Wang
2024	A	`conf`	Bi-CL: A Reinforcement Learning Framework for Robots Coordination Through Bi-level Optimization. IROS Zechen Hu, Daigo Shishika, Xuesu Xiao, Xuan Wang
2024	J	`jnl`	Bi-CL: A Reinforcement Learning Framework for Robots Coordination Through Bi-level Optimization. CoRR Zechen Hu, Daigo Shishika, Xuesu Xiao, Xuan Wang
2024	J	`jnl`	Deconfounding Time Series Forecasting. CoRR Wentao Gao, Feiyu Yang, Mengze Hong, Xiaojing Du, Zechen Hu, Xiongren Chen, Ziqi Xu
2024	A	`conf`	Learning Coordinated Maneuver in Adversarial Environments. IROS Zechen Hu, Manshi Limbu, Daigo Shishika, Xuesu Xiao, Xuan Wang
2024	J	`jnl`	Learning Coordinated Maneuver in Adversarial Environments. CoRR Zechen Hu, Manshi Limbu, Daigo Shishika, Xuesu Xiao, Xuan Wang
2024	J	`jnl`	Motion-2-to-3: Leveraging 2D Motion Data to Boost 3D Motion Generation. CoRR Huaijin Pi, Ruoxi Guo, Zehong Shen, Qing Shuai, Zechen Hu, Zhumei Wang, Yajiao Dong, Ruizhen Hu, Taku Komura, Sida Peng, Xiaowei Zhou
2024	A*	`conf`	Scaling Team Coordination on Graphs with Reinforcement Learning. ICRA Manshi Limbu, Zechen Hu, Xuan Wang, Daigo Shishika, Xuesu Xiao
2024	J	`jnl`	Scaling Team Coordination on Graphs with Reinforcement Learning. CoRR Manshi Limbu, Zechen Hu, Xuan Wang, Daigo Shishika, Xuesu Xiao
2024	A*	`conf`	World-Grounded Human Motion Recovery via Gravity-View Coordinates. SIGGRAPH Asia Zehong Shen, Huaijin Pi, Yan Xia, Zhi Cen, Sida Peng, Zechen Hu, Hujun Bao, Ruizhen Hu, Xiaowei Zhou
2024	J	`jnl`	World-Grounded Human Motion Recovery via Gravity-View Coordinates. CoRR Zehong Shen, Huaijin Pi, Yan Xia, Zhi Cen, Sida Peng, Zechen Hu, Hujun Bao, Ruizhen Hu, Xiaowei Zhou
2023	—	`conf`	Design of a Compact Anthropomorphic Robotic Hand with Hybrid Linkage and Direct Actuation. ICIRA (4) Zechen Hu, Chunyang Zhou, Jinjian Li, Quan Hu
2023	J	`jnl`	Team Coordination on Graphs with State-Dependent Edge Cost. CoRR Sara Oughourli, Manshi Limbu, Zechen Hu, Xuan Wang, Xuesu Xiao, Daigo Shishika
2023	A	`conf`	Team Coordination on Graphs with State-Dependent Edge Costs. IROS Manshi Limbu, Zechen Hu, Sara Oughourli, Xuan Wang, Xuesu Xiao, Daigo Shishika

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.