Yan Zhuang - RankMe

15 papers A* 4Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoupled hypergraph modeling for multimodal sentiment analysis. Neurocomputing Yanping Huang, Jiawen Deng, Yan Zhuang, Jiali You, Qian Liu, Fuji Ren
2026	J	`jnl`	Intra-Sample and Intra-Modal Enhancement for Multimodal Sentiment Analysis With Missing Modalities. IEEE Trans. Multim. Yan Zhuang, Yanru Zhang, Jiawen Deng, Fuji Ren
2026	A*	`conf`	TMDC: A Two-Stage Modality Denoising and Complementation Framework for Multimodal Sentiment Analysis with Missing and Noisy Modalities. AAAI Yan Zhuang, Minhao Liu, Yanru Zhang, Jiawen Deng, Fuji Ren
2025	A*	`conf`	ETS-MM: A Multi-Modal Social Bot Detection Model Based on Enhanced Textual Semantic Representation. WWW Wei Li, Jiawen Deng, Jiali You, Yuanyuan He, Yan Zhuang, Fuji Ren
2025	J	`jnl`	Enhanced Emotion Recognition in Conversations Through Hybrid Context Encoding and Latent Dependency Mining. IEEE Trans. Affect. Comput. Zheng Hu, Jiawen Deng, Satoshi Nakagawa, Yan Zhuang, Xiaoyue Zhang, Shimin Cai, Fuji Ren
2025	A*	`conf`	FAME: Fusion-Aware Multi-modal Ensemble for Social Media Popularity Prediction. ACM Multimedia Yan Zhuang, Wei Bai, Yanru Zhang, Minhao Liu, Jiawen Deng, Fuji Ren
2025	J	`jnl`	Hierarchical Denoising for Robust Social Recommendation. IEEE Trans. Knowl. Data Eng. Zheng Hu, Satoshi Nakagawa, Yan Zhuang, Jiawen Deng, Shimin Cai, Tao Zhou, Fuji Ren
2025	J	`jnl`	Multi-Level Contrastive Learning for Multimodal Sentiment Analysis. IEEE Trans. Multim. Yan Zhuang, Wei Bai, Yanru Zhang, Jiawen Deng, Zheng Hu, Xiaoyue Zhang, Fuji Ren
2025	J	`jnl`	TMDC: A Two-Stage Modality Denoising and Complementation Framework for Multimodal Sentiment Analysis with Missing and Noisy Modalities. CoRR Yan Zhuang, Minhao Liu, Yanru Zhang, Jiawen Deng, Fuji Ren
2024	A*	`conf`	GLoMo: Global-Local Modal Fusion for Multimodal Sentiment Analysis. ACM Multimedia Yan Zhuang, Yanru Zhang, Zheng Hu, Xiaoyue Zhang, Jiawen Deng, Fuji Ren
2022	—	`conf`	Yet at Factify 2022 : Unimodal and Bimodal RoBERTa-based models for Fact Checking (short paper). DE-FACTIFY@AAAI Yan Zhuang, Yanru Zhang
2022	—	`conf`	Yet at Memotion 2.0 2022 : Hate Speech Detection Combining BiLSTM and Fully Connected Layers (short paper). DE-FACTIFY@AAAI Yan Zhuang, Yanru Zhang
2022	—	`conf`	Yet@SMM4H'22: Improved BERT-based classification models with Rdrop and PolyLoss. SMM4H@COLING Yan Zhuang, Yanru Zhang
2021	J	`jnl`	Optimal Subsidy Policy for Green Energy Trading Among Three Parties: A Game Theoretical Approach. IEEE Access Xin Wu, Yan Zhuang, Wei Bai, Yingjie Zhou, Yan Wang
2020	—	`conf`	Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals. SemEval@COLING Weilong Chen, Yan Zhuang, Peng Wang, Feng Hong, Yan Wang, Yanru Zhang

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.