Fei Li - RankMe

15 papers A* 3Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Dialogue State Distillation Network with Inter-Slot Contrastive Learning for Dialogue State Tracking. CoRR Jing Xu, Dandan Song, Chong Liu, Siu Cheung Hui, Fei Li, Qiang Ju, Xiaonan He, Jian Xie
2023	A*	`conf`	Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking. AAAI Jing Xu, Dandan Song, Chong Liu, Siu Cheung Hui, Fei Li, Qiang Ju, Xiaonan He, Jian Xie
2023	J	`jnl`	Multi-view entity type overdependency reduction for event argument extraction. Knowl. Based Syst. Jing Xu, Dandan Song, Siu Cheung Hui, Fei Li, Hao Wang
2023	—	`conf`	NeurSEG: A Segment Driven Deep Neural Model for Nested Named Entity Recognition. LGM3A@MM Zheng Wang, Fei Li, Cheng Long
2022	A*	`conf`	EvidenceNet: Evidence Fusion Network for Fact Verification. WWW Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Fei Li, Meihuizi Jia, Jiaqi Li
2022	J	`jnl`	Keywords-aware dynamic graph neural network for multi-hop reading comprehension. Neurocomputing Meihuizi Jia, Lejian Liao, Wenjing Wang, Fei Li, Zhendong Chen, Jiaqi Li, Heyan Huang
2021	J	`jnl`	A segment enhanced span-based model for nested named entity recognition. Neurocomputing Fei Li, Zheng Wang, Siu Cheung Hui, Lejian Liao, Xinhua Zhu, Heyan Huang
2021	A*	`conf`	Effective Named Entity Recognition with Boundary-aware Bidirectional Neural Networks. WWW Fei Li, Zheng Wang, Siu Cheung Hui, Lejian Liao, Dandan Song, Jing Xu
2021	—	`conf`	Modularized Interaction Network for Named Entity Recognition. ACL/IJCNLP (1) Fei Li, Zheng Wang, Siu Cheung Hui, Lejian Liao, Dandan Song, Jing Xu, Guoxiu He, Meihuizi Jia
2020	J	`jnl`	A gated piecewise CNN with entity-aware enhancement for distantly supervised relation extraction. Inf. Process. Manag. Haixu Wen, Xinhua Zhu, Lanfang Zhang, Fei Li
2020	J	`jnl`	An Efficient Approach for Measuring Semantic Similarity Combining WordNet and Wikipedia. IEEE Access Fei Li, Lejian Liao, Lanfang Zhang, Xinhua Zhu, Bo Zhang, Zheng Wang
2019	J	`jnl`	An efficient approach for measuring semantic relatedness using Wikipedia bidirectional links. Appl. Intell. Xinhua Zhu, Qingsong Guo, Bo Zhang, Fei Li
2018	J	`jnl`	An efficient path computing model for measuring semantic similarity using edge and density. Knowl. Inf. Syst. Xinhua Zhu, Fei Li, Hongchao Chen, Qi Peng
2018	—	`conf`	Efficient and density adaptive edge weight model for measuring semantic similarity. ICCIP Fei Li, Lejian Liao, Chunyi Li, Sixing He
2015	J	`jnl`	A density compensation-based path computing model for measuring semantic similarity. CoRR Xinhua Zhu, Fei Li, Hongchao Chen, Qi Peng

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.