Yanrui Du - RankMe

28 papers A* 5B 1Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Latent Signals to Reflection Behavior: Tracing Meta-Cognitive Activation Trajectory in R1-Style LLMs. CoRR Yanrui Du, Yibo Gao, Sendong Zhao, Jiayun Li, Haochun Wang, Qika Lin, Kai He, Bing Qin, Mengling Feng
2026	J	`jnl`	OptiSet: Unified Optimizing Set Selection and Ranking for Retrieval-Augmented Generation. CoRR Yi Jiang, Sendong Zhao, Jianbo Li, Bairui Hu, Yanrui Du, Haochun Wang, Bing Qin
2026	J	`jnl`	S3-CoT: Self-Sampled Succinct Reasoning Enables Efficient Chain-of-Thought LLMs. CoRR Yanrui Du, Sendong Zhao, Yibo Gao, Danyang Zhao, Qika Lin, Ming Ma, Jiayun Li, Yi Jiang, Kai He, Qian Xu, Bing Qin, Mengling Feng
2026	J	`jnl`	medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions. CoRR Qianyi Xu, Gousia Habib, Feng Wu, Yanrui Du, Zhihui Chen, Swapnil Mishra, Dilruk Perera, Mengling Feng
2025	J	`jnl`	Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint. CoRR Yanrui Du, Fenglei Fan, Sendong Zhao, Jiawei Cao, Qika Lin, Kai He, Ting Liu, Bing Qin, Mengling Feng
2025	A*	`conf`	Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models. AAAI Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin
2025	J	`jnl`	Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese. ACM Trans. Knowl. Discov. Data Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Chi Liu, Nuwa Xi, Yanrui Du, Bing Qin, Ting Liu
2025	J	`jnl`	MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security. CoRR Yanrui Du, Fenglei Fan, Sendong Zhao, Jiawei Cao, Ting Liu, Bing Qin
2025	B	`conf`	MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. IJCNN Muzhen Cai, Sendong Zhao, Haochun Wang, Haoqiang Guo, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu
2024	A*	`conf`	From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. AAAI Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin
2024	A*	`conf`	MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability. NeurIPS Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin
2024	J	`jnl`	MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability. CoRR Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin
2024	J	`jnl`	MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. CoRR Muzhen Cai, Sendong Zhao, Haochun Wang, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu
2024	A*	`conf`	MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. AAAI Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin
2024	J	`jnl`	MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. CoRR Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin
2024	—	`conf`	Probing the Dual Logic Ability of Privatized Medical-Domain LLMs. BIBM Yanrui Du, Sendong Zhao, Muzhen Cai, Ming Ma, Danyang Zhao, Jiawei Cao, Bing Qin
2024	J	`jnl`	Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning. CoRR Yanrui Du, Sendong Zhao, Jiawei Cao, Ming Ma, Danyang Zhao, Fenglei Fan, Ting Liu, Bing Qin
2023	J	`jnl`	Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak. CoRR Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin
2023	J	`jnl`	From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. CoRR Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin
2023	J	`jnl`	GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue. CoRR Yanrui Du, Sendong Zhao, Yuhan Chen, Rai Bai, Jing Liu, Hua Wu, Haifeng Wang, Bing Qin
2023	J	`jnl`	Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. CoRR Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, Muzhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, Bing Qin, Ting Liu
2023	A*	`conf`	Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. IJCAI Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin
2023	—	`conf`	Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. EMNLP (Findings) Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin
2023	J	`jnl`	Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. CoRR Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin
2023	J	`jnl`	The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature. CoRR Yanrui Du, Sendong Zhao, Muzhen Cai, Jianyu Chen, Haochun Wang, Yuhan Chen, Haoqiang Guo, Bing Qin
2022	J	`jnl`	Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. CoRR Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Hua Wu, Haifeng Wang, Bing Qin
2021	J	`jnl`	A method of VR-EEG scene cognitive rehabilitation training. Health Inf. Sci. Syst. Wenjun Tan, Yang Xu, Pan Liu, Chunyan Liu, Yujin Li, Yanrui Du, Chao Chen, Yuping Wang, Yanchun Zhang
2021	J	`jnl`	Correction to: A method of VR‑EEG scene cognitive rehabilitation training. Health Inf. Sci. Syst. Wenjun Tan, Yang Xu, Pan Liu, Chunyan Liu, Yujin Li, Yanrui Du, Chao Chen, Yuping Wang, Yanchun Zhang

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.