Zeye Sun - RankMe

15 papers A* 1A 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LSRIF: Logic-Structured Reinforcement Learning for Instruction Following. CoRR Qingyu Ren, Qianyu He, Jingwen Chang, Jie Zeng, Jiaqing Liang, Yanghua Xiao, Han Xia, Zeye Sun, Fei Yu
2025	J	`jnl`	A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models. CoRR Jinyi Han, Xinyi Wang, Haiquan Zhao, Tingyun Li, Zishang Jiang, Sihang Jiang, Jiaqing Liang, Xin Lin, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao
2025	J	`jnl`	Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following. CoRR Qingyu Ren, Qianyu He, Bowei Zhang, Jie Zeng, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu
2025	A	`conf`	CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes. CIKM Haokun Zhao, Jinyi Han, Jie Shi, Chengyu Du, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu
2025	J	`jnl`	Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following. CoRR Qingyu Ren, Qianyu He, Bowei Zhang, Jie Zeng, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu
2025	A*	`conf`	Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation. EMNLP Qianxi He, Qianyu He, Jiaqing Liang, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao
2025	J	`jnl`	Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation. CoRR Qianxi He, Qianyu He, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu
2025	—	`conf`	Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following. ACL (Findings) Jie Zeng, Qianyu He, Qingyu Ren, Jiaqing Liang, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao
2025	J	`jnl`	Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following. CoRR Jie Zeng, Qianyu He, Qingyu Ren, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu
2025	—	`conf`	Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models. ACL (Findings) Qingyu Ren, Jie Zeng, Qianyu He, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu
2025	J	`jnl`	Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models. CoRR Qingyu Ren, Jie Zeng, Qianyu He, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu
2025	J	`jnl`	Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking. CoRR Jinyi Han, Ying Huang, Ying Liao, Zishang Jiang, Xikun Lu, Haiquan Zhao, Xinyi Wang, Guanghao Zhou, Sihang Jiang, Jiaqing Liang, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao
2024	J	`jnl`	Minor DPO reject penalty to increase training robustness. CoRR Shiming Xie, Hong Chen, Fred Yu, Zeye Sun, Xiuyu Wu, Yingfan Hu
2024	J	`jnl`	Minor SFT loss for LLM fine-tune to increase performance and reduce model deviation. CoRR Shiming Xie, Hong Chen, Fred Yu, Zeye Sun, Xiuyu Wu
2023	—	`conf`	PAI at SemEval-2023 Task 4: A General Multi-label Classification System with Class-balanced Loss Function and Ensemble Module. SemEval@ACL Long Ma, Zeye Sun, Jiawei Jiang, Xuan Li

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.