Yankun Ren - RankMe

13 papers A* 4A 1B 1Journal 3Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning. CoRR Ling Team, Bin Han, Caizhi Tang, Chen Liang, Donghao Zhang, Fan Yuan, Feng Zhu, Jie Gao, Jingyu Hu, Longfei Li, Meng Li, Mingyang Zhang, Peijie Jiang, Peng Jiao, Qian Zhao, Qingyuan Yang, Wenbo Shen, Xinxing Yang, Yalin Zhang, Yankun Ren, Yao Zhao, Yibo Cao, Yixuan Sun, Yue Zhang, Yuchen Fang, Zibin Lin, Zixuan Cheng, Jun Zhou
2024	A*	`conf`	Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. SIGIR Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou
2024	A*	`conf`	GATS: Generative Audience Targeting System for Online Advertising. SIGIR Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo
2024	—	`conf`	QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction. DASFAA (5) Kehang Wang, Ye Liu, Kai Zhang, Qi Liu, Yankun Ren, Xinxing Yang, Longfei Li, Jun Zhou
2023	A*	`conf`	ALT: An Automatic System for Long Tail Scenario Modeling. ICDE Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li
2023	J	`jnl`	ALT: An Automatic System for Long Tail Scenario Modeling. CoRR Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li
2023	A*	`conf`	GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. SIGIR Yankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang
2022	—	`conf`	AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification. PAKDD (1) Yankun Ren, Longfei Li, Xinxing Yang, Jun Zhou
2021	B	`conf`	Simtrojan: Stealthy Backdoor Attack. ICIP Yankun Ren, Longfei Li, Jun Zhou
2020	A	`conf`	Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. ECAI Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren
2020	J	`jnl`	Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. CoRR Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren
2020	—	`conf`	Neural Zero-Shot Fine-Grained Entity Typing. WWW (Companion Volume) Yankun Ren, Jianbin Lin, Jun Zhou
2017	—	`conf`	The ZHI-EDL System for Entity Discovery and Linking at TAC KBP 2017. TAC Siliang Tang, Yankun Ren, Xiyuan Yang, Dan Liu, Guoping Hu, Fei Wu, Yueting Zhuang

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.