Zhenghai Xue - RankMe

28 papers A* 11Journal 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL. CoRR Yingru Li, Jiawei Xu, Ziniu Li, Jiacai Liu, Wei Liu, Yuxuan Tong, Longtao Zheng, Zhenghai Xue, Yaxiang Zhang, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang
2025	A*	`conf`	AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. WWW Zhenghai Xue, Qingpeng Cai, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An
2025	A*	`conf`	AgentStudio: A Toolkit for Building General Virtual Agents. ICLR Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan
2025	J	`jnl`	Group-in-Group Policy Optimization for LLM Agent Training. CoRR Lang Feng, Zhenghai Xue, Tingcong Liu, Bo An
2025	A*	`conf`	Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy. ICLR Zhenghai Xue, Bo An, Shuicheng Yan
2025	A*	`conf`	Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning. ICML Zhenghai Xue, Lang Feng, Jiacheng Xu, Kang Kang, Xiang Wen, Bo An, Shuicheng Yan
2025	J	`jnl`	Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning. CoRR Zhenghai Xue, Lang Feng, Jiacheng Xu, Kang Kang, Xiang Wen, Bo An, Shuicheng Yan
2025	J	`jnl`	SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning. CoRR Zhenghai Xue, Longtao Zheng, Qian Liu, Yingru Li, Xiaosen Zheng, Zejun Ma, Bo An
2024	J	`jnl`	AgentStudio: A Toolkit for Building General Virtual Agents. CoRR Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan
2024	A*	`conf`	Modeling User Retention through Generative Flow Networks. KDD Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
2024	J	`jnl`	Modeling User Retention through Generative Flow Networks. CoRR Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
2024	J	`jnl`	Prediction and mapping of soil thickness in alpine canyon regions based on whale optimization algorithm optimized random forest: A case study of Baihetan Reservoir area in China. Comput. Geosci. Zhenghai Xue, Xiaoyu Yi, Wenkai Feng, Linghao Kong, Mingtang Wu
2024	J	`jnl`	S CoRR Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
2024	A*	`conf`	S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. ICLR Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
2023	J	`jnl`	A Large Language Model Enhanced Conversational Recommender System. CoRR Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, Fei Sun
2023	J	`jnl`	AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. CoRR Zhenghai Xue, Qingpeng Cai, Tianyou Zuo, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An
2023	A*	`conf`	Guarded Policy Optimization with Imperfect Online Demonstrations. ICLR Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou
2023	J	`jnl`	Guarded Policy Optimization with Imperfect Online Demonstrations. CoRR Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou
2023	J	`jnl`	MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, Bolei Zhou
2023	A*	`conf`	PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. KDD Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
2023	A*	`conf`	State Regularized Policy Optimization on Data with Dynamics Shift. NeurIPS Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
2023	J	`jnl`	State Regularized Policy Optimization on Data with Dynamics Shift. CoRR Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
2023	A*	`conf`	Two-Stage Constrained Actor-Critic for Short Video Recommendation. WWW Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai
2023	J	`jnl`	Two-Stage Constrained Actor-Critic for Short Video Recommendation. CoRR Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai
2022	J	`jnl`	PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement. CoRR Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Bo An
2021	J	`jnl`	MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. CoRR Quanyi Li, Zhenghao Peng, Zhenghai Xue, Qihang Zhang, Bolei Zhou
2021	A*	`conf`	Regret Minimization Experience Replay in Off-Policy Reinforcement Learning. NeurIPS Xu-Hui Liu, Zhenghai Xue, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu
2021	J	`jnl`	Regret Minimization Experience Replay. CoRR Zhenghai Xue, Xu-Hui Liu, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu

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.