Elham J. Barezi

23 papers A* 1B 3Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization. AAAI Danial Kamali, Elham J. Barezi, Parisa Kordjamshidi
2024	J	`jnl`	Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA. CoRR Elham J. Barezi, Parisa Kordjamshidi
2024	J	`jnl`	Find The Gap: Knowledge Base Reasoning For Visual Question Answering. CoRR Elham J. Barezi, Parisa Kordjamshidi
2024	J	`jnl`	NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization. CoRR Danial Kamali, Elham J. Barezi, Parisa Kordjamshidi
2022	B	`conf`	ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation. LREC Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata, Peng Xu, Yan Xu, Zihan Liu, Rita Frieske, Tiezheng Yu, Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung
2022	J	`jnl`	AiSocrates: Towards Answering Ethical Quandary Questions. CoRR Yejin Bang, Nayeon Lee, Tiezheng Yu, Leila Khalatbari, Yan Xu, Dan Su, Elham J. Barezi, Andrea Madotto, Hayden Kee, Pascale Fung
2022	B	`conf`	Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset. LREC Tiezheng Yu, Rita Frieske, Peng Xu, Samuel Cahyawijaya, Cheuk Tung Shadow Yiu, Holy Lovenia, Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung
2022	J	`jnl`	Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset. CoRR Tiezheng Yu, Rita Frieske, Peng Xu, Samuel Cahyawijaya, Cheuk Tung Shadow Yiu, Holy Lovenia, Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung
2022	J	`jnl`	CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command Recognition. CoRR Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu, Elham J. Barezi, Peng Xu, Cheuk Tung Shadow Yiu, Rita Frieske, Holy Lovenia, Genta Indra Winata, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung
2022	B	`conf`	CI-AVSR: A Cantonese Audio-Visual Speech Datasetfor In-car Command Recognition. LREC Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu, Elham J. Barezi, Peng Xu, Cheuk Tung Yiu, Rita Frieske, Holy Lovenia, Genta Indra Winata, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung
2022	J	`jnl`	Kaggle Competition: Cantonese Audio-Visual Speech Recognition for In-car Commands. CoRR Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu, Elham J. Barezi, Pascale Fung
2021	J	`jnl`	ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation. CoRR Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata, Peng Xu, Yan Xu, Zihan Liu, Rita Frieske, Tiezheng Yu, Wenliang Dai, Elham J. Barezi, Pascale Fung
2020	J	`jnl`	A Study on the Autoregressive and non-Autoregressive Multi-label Learning. CoRR Elham J. Barezi, Iacer Calixto, Kyunghyun Cho, Pascale Fung
2020	J	`jnl`	CAiRE-COVID: A Question Answering and Multi-Document Summarization System for COVID-19 Research. CoRR Dan Su, Yan Xu, Tiezheng Yu, Farhad Bin Siddique, Elham J. Barezi, Pascale Fung
2020	—	`conf`	CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management. NLP4COVID@EMNLP Dan Su, Yan Xu, Tiezheng Yu, Farhad Bin Siddique, Elham J. Barezi, Pascale Fung
2019	—	`conf`	A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems. NAACL-HLT (1) Elham J. Barezi, Ian D. Wood, Pascale Fung, Hamid R. Rabiee
2019	—	`conf`	Modality-based Factorization for Multimodal Fusion. RepL4NLP@ACL Elham J. Barezi, Pascale Fung
2019	J	`jnl`	On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression. CoRR Genta Indra Winata, Andrea Madotto, Jamin Shin, Elham J. Barezi, Pascale Fung
2018	J	`jnl`	Corrigendum to "Multi-label learning in the independent label sub-spaces" [Pattern Recognition Letters 97(2017) 8-12]. Pattern Recognit. Lett. Elham J. Barezi, James T. Kwok, Hamid R. Rabiee
2018	—	`conf`	Investigating Audio, Video, and Text Fusion Methods for End-to-End Automatic Personality Prediction. ACL (2) Onno Kampman, Elham J. Barezi, Dario Bertero, Pascale Fung
2018	J	`jnl`	Investigating Audio, Visual, and Text Fusion Methods for End-to-End Automatic Personality Prediction. CoRR Onno Kampman, Elham J. Barezi, Dario Bertero, Pascale Fung
2018	J	`jnl`	Modality-based Factorization for Multimodal Fusion. CoRR Elham J. Barezi, Peyman Momeni, Ian D. Wood, Pascale Fung
2017	J	`jnl`	Multi-Label learning in the independent label sub-spaces. Pattern Recognit. Lett. Elham J. Barezi, James T. Kwok, Hamid R. Rabiee

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.