Yan Li - RankMe

12 papers A* 3B 1Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AlignMamba-2: Enhancing Multimodal Fusion and Sentiment Analysis with Modality-Aware Mamba. CoRR Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang
2026	J	`jnl`	AlignMamba-2: Enhancing multimodal fusion and sentiment analysis with modality-aware Mamba. Pattern Recognit. Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang
2026	J	`jnl`	Appearance- and Relation-Aware Parallel Graph Attention Fusion Network for Facial Expression Recognition. IEEE Trans. Affect. Comput. Yan Li, Yong Zhao, Xiaohan Xia, Dongmei Jiang
2025	J	`jnl`	AVES: An Audio-Visual Emotion Stream Dataset for Temporal Emotion Detection. IEEE Trans. Affect. Comput. Yan Li, Wei Gan, Ke Lu, Dongmei Jiang, Ramesh Jain
2025	A*	`conf`	AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment. CVPR Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang
2025	—	`conf`	Learning Hierarchical Continuous Dynamics for Facial Action Unit Intensity Estimation. BIBM Wei Gan, Ke Lu, Yan Li, Menghao Hu, Guohong Hu, Dongmei Jiang, Jian Xue
2024	J	`jnl`	AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment. CoRR Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang
2023	A*	`conf`	Semi-Supervised Multimodal Emotion Recognition with Class-Balanced Pseudo-labeling. ACM Multimedia Haifeng Chen, Chujia Guo, Yan Li, Peng Zhang, Dongmei Jiang
2023	A*	`conf`	Towards Adaptable Graph Representation Learning: An Adaptive Multi-Graph Contrastive Transformer. ACM Multimedia Yan Li, Liang Zhang, Xiangyuan Lan, Dongmei Jiang
2020	—	`conf`	MEMOS: A Multi-modal Emotion Stream Database for Temporal Spontaneous Emotional State Detection. ICMI Companion Yan Li, Xiaohan Xia, Dongmei Jiang, Hichem Sahli, Ramesh C. Jain
2014	B	`conf`	Craniofacial reconstruction based on least square support vector regression. SMC Yan Li, Liang Chang, Xuejun Qiao, Rong Liu, Fuqing Duan
2014	J	`jnl`	Skull Identification via Correlation Measure Between Skull and Face Shape. IEEE Trans. Inf. Forensics Secur. Fuqing Duan, Yanchao Yang, Yan Li, Yun Tian, Ke Lu, Zhongke Wu, Mingquan 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.