Baohe Zhang - RankMe

13 papers A* 1A 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Goal Achievement Guided Exploitation: A Principled Performance-Based Scheduling Framework for Reinforcement Learning. Trans. Mach. Learn. Res. Shengchao Yan, Baohe Zhang, Chenguang Huang, Joschka Boedecker, Wolfram Burgard
2025	J	`jnl`	Constrained Reinforcement Learning with Smoothed Log Barrier Function. Trans. Mach. Learn. Res. Baohe Zhang, Yuan Zhang, Hao Zhu, Shengchao Yan, Thomas Brox, Joschka Boedecker
2025	J	`jnl`	Fitting Reinforcement Learning Model to Behavioral Data under Bandits. CoRR Hao Zhu, Jasper Hoffmann, Baohe Zhang, Joschka Boedecker
2024	J	`jnl`	Constrained Reinforcement Learning for Safe Heat Pump Control. CoRR Baohe Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker
2024	J	`jnl`	Constrained Reinforcement Learning with Smoothed Log Barrier Function. CoRR Baohe Zhang, Yuan Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker
2024	A*	`conf`	Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry. ICRA Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard
2024	J	`jnl`	Revisiting Safe Exploration in Safe Reinforcement learning. CoRR David Eckel, Baohe Zhang, Joschka Bödecker
2023	J	`jnl`	Geometric Regularity with Robot Intrinsic Symmetry in Reinforcement Learning. CoRR Shengchao Yan, Yuan Zhang, Baohe Zhang, Joschka Boedecker, Wolfram Burgard
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
2022	J	`jnl`	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
2021	A	`conf`	On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. AISTATS Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
2021	J	`jnl`	On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. CoRR Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
2020	J	`jnl`	Ultra-Broadband Polarization Conversion Meta-Surface and its Application in Polarization Converter and RCS Reduction. IEEE Access Yunping Qi, Baohe Zhang, Chuqin Liu, Xiangyu Deng

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.