Qiwei Gan - RankMe

14 papers Journal 5Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating Clinical NLP at Scale with a Hybrid Framework with Reduced GPU Demands: A Case Study in Dementia Identification. CoRR Jianlin Shi, Qiwei Gan, Elizabeth Hanchrow, Annie E. Bowles, Johnathan C. Stanley, Adam Bress, Jordana B. Cohen, Patrick R. Alba
2025	—	`conf`	Comparative Analysis of NLP Models for Automatic LOINC Document Ontology Named Entity Recognition in Clinical Note Titles. MedInfo Annie E. Bowles, Qiwei Gan, Elizabeth Hanchrow, Scott L. DuVall, Patrick R. Alba, Jianlin Shi
2025	—	`conf`	Enhancing and Disaggregating Native Hawaiian and Pacific Islander (NHPI) Data Using Natural Language Processing and an Expanded Race/Ethnicity Lexicon. MedInfo Benjamin Viernes, Qiwei Gan, Elizabeth Hanchrow, Mengke Hu, Gregorio Coronado, Scott L. DuVall, Kalani Raphael, Patrick R. Alba
2025	—	`conf`	The Best of All Worlds: A Hybrid Approach to Cohort Identification with Rules, Small and Large Language Models. MedInfo Qiwei Gan, Jianlin Shi, Annie E. Bowles, Elizabeth Hanchrow, John Stanley, Mengke Hu, Scott L. DuVall, Patrick R. Alba
2023	J	`jnl`	A deep learning approach for medication disposition and corresponding attributes extraction. J. Biomed. Informatics Qiwei Gan, Mengke Hu, Kelly S. Peterson, Hannah Eyre, Patrick R. Alba, Annie E. Bowles, Johnathan C. Stanley, Scott L. DuVall, Jianlin Shi
2023	—	`conf`	Development of a Natural Language Processing System to Identify Clinical Documentation of Electronic Cigarette Use. MedInfo Patrick R. Alba, Qiwei Gan, Mengke Hu, Shu-Hong Zhu, Scott E. Sherman, Scott L. DuVall, Mike Conway
2021	J	`jnl`	Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg
2015	—	`conf`	Restaurant Rating: Industrial Standard and Word-of-Mouth - A Text Mining and Multi-dimensional Sentiment Analysis. HICSS Qiwei Gan, Yang Yu
2014	—	`conf`	Adoption of Electronic Health Record System: Multiple Theoretical Perspectives. HICSS Qiwei Gan, Qing Cao
2013	J	`jnl`	Organizational adoption of supply chain management system: A multi-theoretic investigation. Decis. Support Syst. Qing Cao, Qiwei Gan, Mark A. Thompson
2012	—	`conf`	Helpfulness of Online User Reviews: More is Less. AMCIS Qiwei Gan, Qing Cao, Donald R. Jones
2011	J	`jnl`	Exploring determinants of voting for the "helpfulness" of online user reviews: A text mining approach. Decis. Support Syst. Qing Cao, Wenjing Duan, Qiwei Gan
2010	—	`conf`	Investigating Determinants of Voting for the "Helpfulness" of Online Consumer Reviews: A Text Mining Approach. AMCIS Wenjing Duan, Qing Cao, Qiwei Gan
2009	—	`conf`	Forecasting EPS of Chinese Listed Companies Using Neural Network with Genetic Algorithm. AMCIS Qing Cao, Qiwei Gan

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.