Yan Wang - RankMe

19 papers Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change. SIGSPATIAL/GIS Ziyi Guo, Yan Wang
2024	J	`jnl`	A Deep Learning Representation of Spatial Interaction Model for Resilient Spatial Planning of Community Business Clusters. CoRR Haiyan Hao, Yan Wang
2024	J	`jnl`	Norm propagation in online communities: structural, temporal, and community analysis. Soc. Netw. Anal. Min. Raed Alharbi, Youval Kashuv, Yan Wang, Wenwen Dou, My T. Thai
2023	J	`jnl`	Enabling smart curb management with spatiotemporal deep learning. Comput. Environ. Urban Syst. Haiyan Hao, Yan Wang, Lili Du, Shigang Chen
2023	J	`jnl`	Investigating the Dynamics of Social Norm Emergence within Online Communities. CoRR Shangde Gao, Yan Wang, My T. Thai
2022	J	`jnl`	Causal Modeling of Descriptive Social Norms from Twitter and the Physical World on Expressed Attitudes Change: A Case Study of COVID-19 Vaccination. Cyberpsychology Behav. Soc. Netw. Shangde Gao, Yan Wang, Gregory D. Webster
2021	J	`jnl`	Assessing Disaster Impact in Real Time: Data-Driven System Integrating Humans, Hazards, and the Built Environment. J. Comput. Civ. Eng. Haiyan Hao, Yan Wang
2021	J	`jnl`	Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-19. CoRR Yan Wang, Shangde Gao, Wenyu Gao
2021	J	`jnl`	Crowdsourcing the perceived urban built environment via social media: The case of underutilized land. Adv. Eng. Informatics Yan Wang, Shangde Gao, Nan Li, Siyu Yu
2021	J	`jnl`	Examining risk and crisis communications of government agencies and stakeholders during early-stages of COVID-19 on Twitter. Comput. Hum. Behav. Yan Wang, Haiyan Hao, Lisa Sundahl Platt
2021	—	`conf`	Loss of Resilience in Human Mobility across Severe Tropical Cyclones of Different Magnitudes. ISCRAM Yan Wang, Qi Wang, John E. Taylor
2021	—	`conf`	Modeling U.S. Health Agencies' Message Dissemination on Twitter and Users' Exposure to Vaccine-related Misinformation Using System Dynamics. ISCRAM Shangde Gao, Yan Wang, Lisa Sundahl Platt
2020	J	`jnl`	Domain-specific sentiment analysis for tweets during hurricanes (DSSA-H): A domain-adversarial neural-network-based approach. Comput. Environ. Urban Syst. Fang Yao, Yan Wang
2020	—	`conf`	Hurricane Damage Assessment with Multi-, Crowd-Sourced Image Data: A Case Study of Hurricane Irma in the City of Miami. ISCRAM Haiyan Hao, Yan Wang
2020	J	`jnl`	Tracking urban geo-topics based on dynamic topic model. Comput. Environ. Urban Syst. Fang Yao, Yan Wang
2019	J	`jnl`	DUET: Data-Driven Approach Based on Latent Dirichlet Allocation Topic Modeling. J. Comput. Civ. Eng. Yan Wang, John E. Taylor
2019	J	`jnl`	Lateral Motion Prediction of On-Road Preceding Vehicles: A Data-Driven Approach. Sensors Chen Wang, Jacques Delport, Yan Wang
2017	—	`conf`	Towards Smarter Cities: Linking Human Mobility and Energy Use Fluctuations across Building Types. HICSS Neda Mohammadi, John E. Taylor, Yan Wang
2017	—	`conf`	Tracking urban resilience to disasters: a mobility network-based approach. ISCRAM Yan Wang, John E. Taylor

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.