Yangang Ren - RankMe

30 papers A 1Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learn a Robust Policy for Real-World Driving With Adversarial Reinforcement Learning. IEEE Trans. Intell. Veh. Yangang Ren, Guojian Zhan, Shengbo Eben Li, Jingliang Duan, Yao Lyu, Yang Guan, Keqiang Li
2025	—	`conf`	Master Lane Change Decision-Making by Integrating Imitation Learning with Expert Rules. ICCAE Yangang Ren, Jun Li, Fatao Zhou, Bolin Gao, Fenghua Liang, Keqiang Li
2025	J	`jnl`	Self-supervised Pretraining for Integrated Prediction and Planning of Automated Vehicles. CoRR Yangang Ren, Guojian Zhan, Chen Lv, Jun Li, Fenghua Liang, Keqiang Li
2025	J	`jnl`	Smooth policy iteration for zero-sum Markov Games. Neurocomputing Yangang Ren, Yao Lyu, Wenxuan Wang, Shengbo Eben Li, Zeyang Li, Jingliang Duan
2024	J	`jnl`	Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios [Research Frontier] [Research Frontier]. IEEE Comput. Intell. Mag. Jingliang Duan, Yangang Ren, Fawang Zhang, Jie Li, Shengbo Eben Li, Yang Guan, Keqiang Li
2023	J	`jnl`	Integrated Decision and Control: Toward Interpretable and Computationally Efficient Driving Intelligence. IEEE Trans. Cybern. Yang Guan, Yangang Ren, Qi Sun, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Yifan Dai, Bo Cheng
2022	J	`jnl`	Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors. IEEE Trans. Neural Networks Learn. Syst. Jingliang Duan, Yang Guan, Shengbo Eben Li, Yangang Ren, Qi Sun, Bo Cheng
2022	J	`jnl`	Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model. CoRR Zeyu Gao, Yao Mu, Ruoyan Shen, Chen Chen, Yangang Ren, Jianyu Chen, Shengbo Eben Li, Ping Luo, Yanfeng Lu
2022	J	`jnl`	Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Jingliang Duan, Dongjie Yu, Shengbo Eben Li, Wenxuan Wang, Yangang Ren, Ziyu Lin, Bo Cheng
2022	J	`jnl`	Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning. CoRR Yangang Ren, Guojian Zhan, Liye Tang, Shengbo Eben Li, Jianhua Jiang, Jingliang Duan
2022	J	`jnl`	Indirect Shared Control Through Non-Zero Sum Differential Game for Cooperative Automated Driving. IEEE Trans. Intell. Transp. Syst. Wenyu Li, Qingkun Li, Shengbo Eben Li, Renjie Li, Yangang Ren, Wenjun Wang
2022	J	`jnl`	Integrated Decision and Control for High-Level Automated Vehicles by Mixed Policy Gradient and Its Experiment Verification. CoRR Yang Guan, Liye Tang, Chuanxiao Li, Shengbo Eben Li, Yangang Ren, Junqing Wei, Bo Zhang, Keqiang Li
2022	J	`jnl`	Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections. IEEE Trans. Intell. Transp. Syst. Yangang Ren, Jianhua Jiang, Guojian Zhan, Shengbo Eben Li, Chen Chen, Keqiang Li, Jingliang Duan
2022	J	`jnl`	Smoothing Policy Iteration for Zero-sum Markov Games. CoRR Yangang Ren, Yao Lyu, Wenxuan Wang, Shengbo Eben Li, Zeyang Li, Jingliang Duan
2021	J	`jnl`	Cover: International Journal of Intelligent Systems, Volume 36 Issue 8 August 2021. Int. J. Intell. Syst. Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Qi Sun, Bo Cheng
2021	J	`jnl`	Direct and indirect reinforcement learning. Int. J. Intell. Syst. Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Qi Sun, Bo Cheng
2021	J	`jnl`	Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios. CoRR Jingliang Duan, Yangang Ren, Fawang Zhang, Yang Guan, Dongjie Yu, Shengbo Eben Li, Bo Cheng, Lin Zhao
2021	J	`jnl`	Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow. CoRR Yangang Ren, Jianhua Jiang, Jingliang Duan, Shengbo Eben Li, Dongjie Yu, Guojian Zhan
2021	J	`jnl`	Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving. CoRR Jingliang Duan, Dongjie Yu, Shengbo Eben Li, Wenxuan Wang, Yangang Ren, Ziyu Lin, Bo Cheng
2021	J	`jnl`	Integrated Decision and Control at Multi-Lane Intersections with Mixed Traffic Flow. CoRR Jianhua Jiang, Yangang Ren, Yang Guan, Shengbo Eben Li, Yuming Yin, Xiaoping Jin
2021	J	`jnl`	Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence. CoRR Yang Guan, Yangang Ren, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Bo Cheng
2021	—	`conf`	Learn collision-free self-driving skills at urban intersections with model-based reinforcement learning. ITSC Yang Guan, Yangang Ren, Haitong Ma, Shengbo Eben Li, Qi Sun, Yifan Dai, Bo Cheng
2021	A	`conf`	Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function. IROS Haitong Ma, Jianyu Chen, Shengbo Eben Li, Ziyu Lin, Yang Guan, Yangang Ren, Sifa Zheng
2021	J	`jnl`	Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function. CoRR Haitong Ma, Jianyu Chen, Shengbo Eben Li, Ziyu Lin, Yang Guan, Yangang Ren, Sifa Zheng
2020	J	`jnl`	Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function. CoRR Jingliang Duan, Yang Guan, Yangang Ren, Shengbo Eben Li, Bo Cheng
2020	J	`jnl`	Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization. IEEE Trans. Veh. Technol. Yang Guan, Yangang Ren, Shengbo Eben Li, Qi Sun, Laiquan Luo, Keqiang Li
2020	—	`conf`	Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic. ITSC Yangang Ren, Jingliang Duan, Shengbo Eben Li, Yang Guan, Qi Sun
2020	J	`jnl`	Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic. CoRR Yangang Ren, Jingliang Duan, Yang Guan, Shengbo Eben Li
2019	J	`jnl`	Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization. CoRR Yang Guan, Yangang Ren, Shengbo Eben Li, Qi Sun, Laiquan Luo, Koji Taguchi, Keqiang Li
2019	J	`jnl`	Direct and indirect reinforcement learning. CoRR Yang Guan, Shengbo Eben Li, Jingliang Duan, Jie Li, Yangang Ren, Bo Cheng

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.