Yanran Chen - RankMe

30 papers A* 4A 1B 2Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detection. EACL (Volume 1: Long Papers) Yanran Chen, Lynn Greschner, Roman Klinger, Michael Klenk, Steffen Eger
2025	A*	`conf`	Argument Summarization and its Evaluation in the Era of Large Language Models. EMNLP Moritz Altemeyer, Steffen Eger, Johannes Daxenberger, Yanran Chen, Tim Altendorf, Philipp Cimiano, Benjamin Schiller
2025	J	`jnl`	DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization? CoRR Daniil Larionov, Sotaro Takeshita, Ran Zhang, Yanran Chen, Christoph Leiter, Zhipin Wang, Christian Greisinger, Steffen Eger
2025	—	`conf`	Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks. ACL (Findings) Yanran Chen, Steffen Eger
2025	J	`jnl`	Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks. CoRR Yanran Chen, Steffen Eger
2025	J	`jnl`	Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detection. CoRR Yanran Chen, Lynn Greschner, Roman Klinger, Michael Klenk, Steffen Eger
2025	A*	`conf`	Layered Interactions: Exploring Non-Intrusive Digital Craftsmanship Design Through Lacquer Art Interfaces. CHI Yan Dong, Hanjie Yu, Yanran Chen, Zipeng Zhang, Wu Qiong
2025	J	`jnl`	Layered Interactions: Exploring Non-Intrusive Digital Craftsmanship Design Through Lacquer Art Interfaces. CoRR Yan Dong, Hanjie Yu, Yanran Chen, Zipeng Zhang, Qiong Wu
2025	J	`jnl`	Predicting and validating the risk of interstitial lung disease in systemic lupus erythematosus. Int. J. Medical Informatics Aoyang Guo, Yanran Chen, Hongyang Liu, Shujun Gao, Xinyi Huang, Dongzhou Liu, Qianqian Zhao, Xiaoping Hong
2024	A*	`conf`	Evaluating Diversity in Automatic Poetry Generation. EMNLP Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger
2024	J	`jnl`	Evaluating Diversity in Automatic Poetry Generation. CoRR Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger
2024	J	`jnl`	NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers? CoRR Christoph Leiter, Jonas Belouadi, Yanran Chen, Ran Zhang, Daniil Larionov, Aida Kostikova, Steffen Eger
2024	J	`jnl`	Syntactic Language Change in English and German: Metrics, Parsers, and Convergences. CoRR Yanran Chen, Wei Zhao, Anne Breitbarth, Manuel Stoeckel, Alexander Mehler, Steffen Eger
2023	—	`conf`	Buzzo or Eureka - Robot that Makes Remote Participants Feel More Presence in Hybrid Discussions. HRI (Companion) Zhilong Zhao, Yanran Chen, Qingyu Hu, Siran Ma, Houze Li, Yijie Guo, Haipeng Mi
2023	J	`jnl`	ChatGPT: A Meta-Analysis after 2.5 Months. CoRR Christoph Leiter, Ran Zhang, Yanran Chen, Jonas Belouadi, Daniil Larionov, Vivian Fresen, Steffen Eger
2023	—	`conf`	Fitness Bow: An Intelligent Supervised Motion System. HCI (52) Lirong Che, Suzhen Zhang, Yanran Chen, Yan Dong, Wu Qiong
2023	J	`jnl`	MENLI: Robust Evaluation Metrics from Natural Language Inference. Trans. Assoc. Comput. Linguistics Yanran Chen, Steffen Eger
2023	J	`jnl`	NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers? CoRR Steffen Eger, Christoph Leiter, Jonas Belouadi, Ran Zhang, Aida Kostikova, Daniil Larionov, Yanran Chen, Vivian Fresen
2023	J	`jnl`	NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers? CoRR Ran Zhang, Aida Kostikova, Christoph Leiter, Jonas Belouadi, Daniil Larionov, Yanran Chen, Vivian Fresen, Steffen Eger
2023	—	`conf`	Social Bots that Bring a Strong Presence to Remote Participants in Hybrid Meetings. HRI (Companion) Siran Ma, Qingyu Hu, Yanran Chen, Zhilong Zhao, Houze Li
2023	—	`conf`	Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End. Eval4NLP Yanran Chen, Steffen Eger
2022	A	`conf`	CSA-SVM method for internal cavitation defects detection and its application of district heating pipes. IROS Yanran Chen, Shugen Ma, Longchuan Li, Zhiqing Li, Yulin Yang
2022	B	`conf`	Federated Deep Recommendation System Based on Multi-View Feature Embedding. DSAA Xinna Wang, Shunmei Meng, Yanran Chen, Qiyan Liu, Rui Yuan, Qianmu Li
2022	J	`jnl`	Increased or decreased? Interpersonal neural synchronization in group creation. NeuroImage Zheng Liang, Songqing Li, Siyuan Zhou, Shi Chen, Ying Li, Yanran Chen, Qingbai Zhao, Furong Huang, Chunming Lu, Quanlei Yu, Zhijin Zhou
2022	J	`jnl`	MENLI: Robust Evaluation Metrics from Natural Language Inference. CoRR Yanran Chen, Steffen Eger
2022	A*	`conf`	Reproducibility Issues for BERT-based Evaluation Metrics. EMNLP Yanran Chen, Jonas Belouadi, Steffen Eger
2022	J	`jnl`	Reproducibility Issues for BERT-based Evaluation Metrics. CoRR Yanran Chen, Jonas Belouadi, Steffen Eger
2022	J	`jnl`	Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End. CoRR Yanran Chen, Steffen Eger
2021	J	`jnl`	Learning by explaining to oneself and a peer enhances learners' theta and alpha oscillations while watching video lectures. Br. J. Educ. Technol. Zhongling Pi, Yi Zhang, Weichen Zhou, Ke Xu, Yanran Chen, Jiumin Yang, Qingbai Zhao
2021	B	`conf`	TUDA-Reproducibility @ ReproGen: Replicability of Human Evaluation of Text-to-Text and Concept-to-Text Generation. INLG Christian Richter, Yanran Chen, Steffen Eger

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.