Yang Yu - RankMe

19 papers A* 2A 2B 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	POINTS-GUI-G: GUI-Grounding Journey. CoRR Zhongyin Zhao, Yuan Liu, Yikun Liu, Haicheng Wang, Le Tian, Xiao Zhou, Yangxiu You, Zilin Yu, Yang Yu, Jie Zhou
2025	A*	`conf`	POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion. EMNLP Yuan Liu, Zhongyin Zhao, Le Tian, Haicheng Wang, Xubing Ye, Yangxiu You, Zilin Yu, Chuhan Wu, Zhou Xiao, Yang Yu, Jie Zhou
2025	J	`jnl`	POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion. CoRR Yuan Liu, Zhongyin Zhao, Le Tian, Haicheng Wang, Xubing Ye, Yangxiu You, Zilin Yu, Chuhan Wu, Xiao Zhou, Yang Yu, Jie Zhou
2024	J	`jnl`	POINTS1.5: Building a Vision-Language Model towards Real World Applications. CoRR Yuan Liu, Le Tian, Xiao Zhou, Xinyu Gao, Kavio Yu, Yang Yu, Jie Zhou
2023	A	`conf`	Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. CIKM Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen
2023	A	`conf`	Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. CIKM Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen
2023	J	`jnl`	Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management. IEEE Trans. Parallel Distributed Syst. Jiarui Fang, Zilin Zhu, Shenggui Li, Hui Su, Yang Yu, Jie Zhou, Yang You
2022	A*	`conf`	Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. EMNLP Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu
2022	J	`jnl`	UA-FedRec: Untargeted Attack on Federated News Recommendation. CoRR Jingwei Yi, Fangzhao Wu, Bin Zhu, Yang Yu, Chao Zhang, Guangzhong Sun, Xing Xie
2022	J	`jnl`	WeLM: A Well-Read Pre-trained Language Model for Chinese. CoRR Hui Su, Xiao Zhou, Houjin Yu, Yuwen Chen, Zilin Zhu, Yang Yu, Jie Zhou
2021	—	`conf`	HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. ACL/IJCNLP (1) Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang
2021	J	`jnl`	HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang
2021	—	`conf`	NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. EMNLP (Findings) Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
2021	J	`jnl`	NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. CoRR Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
2021	J	`jnl`	PatrickStar: Parallel Training of Pre-trained Models via a Chunk-based Memory Management. CoRR Jiarui Fang, Yang Yu, Shenggui Li, Yang You, Jie Zhou
2021	J	`jnl`	Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. CoRR Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Tao Qi, Qi Liu
2021	B	`conf`	TurboTransformers: an efficient GPU serving system for transformer models. PPoPP Jiarui Fang, Yang Yu, Chengduo Zhao, Jie Zhou
2021	J	`jnl`	UserBERT: Contrastive User Model Pre-training. CoRR Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie
2020	J	`jnl`	TurboTransformers: An Efficient GPU Serving System For Transformer Models. CoRR Jiarui Fang, Yang Yu, Chengduo Zhao, Jie Zhou

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.