Qisong Yang - RankMe

15 papers A* 3A 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A reinforcement learning framework for energy-optimal UAV path planning in wind fields. Pattern Recognit. Fangjia Lian, Bangjie Li, Desong Du, Hongwei Zhu, Qisong Yang
2026	J	`jnl`	Adaptive risk-aware reinforcement learning for safe navigation of unmanned systems. Pattern Recognit. Qisong Yang, Hongyang Gu, Dengxiu Yu, Bangjie Li
2025	J	`jnl`	Human-aligned Safe Reinforcement Learning for Highway On-Ramp Merging in Dense Traffic. CoRR Yang Li, Shijie Yuan, Yuan Chang, Xiaolong Chen, Qisong Yang, Zhiyuan Yang, Hongmao Qin
2025	—	`conf`	Optimal Path Planning of Unmanned Aerial Vehicle with Wind Field. ITSC Fangjia Lian, Qisong Yang, Bangjie Li, Pengxiang Wang, Haoqi Luo, Desong Du
2025	J	`jnl`	ReIDMamba: Learning Discriminative Features with Visual State Space Model for Person Re-Identification. CoRR Hongyang Gu, Qisong Yang, Lei Pu, Siming Han, Yao Ding
2025	J	`jnl`	Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control. IEEE Trans. Neural Networks Learn. Syst. Bin Du, Wei Xie, Yang Li, Qisong Yang, Weidong Zhang, Rudy R. Negenborn, Yusong Pang, Hongtian Chen
2024	A*	`conf`	Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System. AAAI Ruining Zhang, Haoran Han, Maolong Lv, Qisong Yang, Jian Cheng
2023	J	`jnl`	Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System. CoRR Ruining Zhang, Haoran Han, Maolong Lv, Qisong Yang, Jian Cheng
2023	A*	`conf`	CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration. AAAI Qisong Yang, Matthijs T. J. Spaan
2023	A	`conf`	Reinforcement Learning by Guided Safe Exploration. ECAI Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan
2023	J	`jnl`	Reinforcement Learning by Guided Safe Exploration. CoRR Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan
2023	J	`jnl`	Safety-constrained reinforcement learning with a distributional safety critic. Mach. Learn. Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan
2023	J	`jnl`	Subtask-masked curriculum learning for reinforcement learning with application to UAV maneuver decision-making. Eng. Appl. Artif. Intell. Yueqi Hou, Xiaolong Liang, Maolong Lv, Qisong Yang, Yang Li
2022	—	`conf`	A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics Using Constrained Reinforcement Learning. ITSC Danial Kamran, Thiago D. Simão, Qisong Yang, Canmanie T. Ponnambalam, Johannes Fischer, Matthijs T. J. Spaan, Martin Lauer
2021	A*	`conf`	WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning. AAAI Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan

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.