Tailin Chen - RankMe

15 papers A* 3A 2B 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MultiHateLoc: Towards Temporal Localisation of Multimodal Hate Content in Online Videos. WWW Qiyue Sun, Tailin Chen, Yinghui Zhang, Yuchen Zhang, Jiangbei Yue, Jianbo Jiao, Zeyu Fu
2025	A*	`conf`	DeHate: A Holistic Hateful Video Dataset for Explicit and Implicit Hate Detection. ACM Multimedia Yuchen Zhang, Tailin Chen, Jiangbei Yue, Yueming Sun, Rahul Singh, Jianbo Jiao, Zeyu Fu
2025	J	`jnl`	Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion. CoRR Yinghui Zhang, Tailin Chen, Yuchen Zhang, Zeyu Fu
2025	J	`jnl`	MultiHateLoc: Towards Temporal Localisation of Multimodal Hate Content in Online Videos. CoRR Qiyue Sun, Tailin Chen, Yinghui Zhang, Yuchen Zhang, Jiangbei Yue, Jianbo Jiao, Zeyu Fu
2025	J	`jnl`	Multimodal Hate Detection Using Dual-Stream Graph Neural Networks. CoRR Jiangbei Yue, Shuonan Yang, Tailin Chen, Jianbo Jiao, Zeyu Fu
2025	J	`jnl`	Reasoning-Aware Multimodal Fusion for Hateful Video Detection. CoRR Shuonan Yang, Tailin Chen, Jiangbei Yue, Guangliang Cheng, Jianbo Jiao, Zeyu Fu
2025	J	`jnl`	Revealing Temporal Label Noise in Multimodal Hateful Video Classification. CoRR Shuonan Yang, Tailin Chen, Rahul Singh, Jiangbei Yue, Jianbo Jiao, Zeyu Fu
2024	—	`conf`	Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion. ICDM (Workshops) Yinghui Zhang, Tailin Chen, Yuchen Zhang, Zeyu Fu
2023	B	`conf`	Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition. FG Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He
2022	J	`jnl`	Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition. CoRR Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He
2022	A	`conf`	Towards a more efficient few-shot learning-based human gesture recognition via dynamic vision sensors. BMVC Linglin Jing, Yifan Wang, Tailin Chen, Shirin Dora, Zhigang Ji, Hui Fang
2021	A	`conf`	LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition. BMVC Tailin Chen, Shidong Wang, Desen Zhou, Yu Guan
2021	J	`jnl`	LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition. CoRR Tailin Chen, Shidong Wang, Desen Zhou, Yu Guan
2021	A*	`conf`	Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition. ACM Multimedia Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding
2021	J	`jnl`	Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition. CoRR Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding

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.