Bangwei Guo - RankMe

12 papers Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LUCID-SAE: Learning Unified Vision-Language Sparse Codes for Interpretable Concept Discovery. CoRR Difei Gu, Yunhe Gao, Gerasimos Chatzoudis, Zihan Dong, Guoning Zhang, Bangwei Guo, Yang Zhou, Mu Zhou, Dimitris N. Metaxas
2025	—	`conf`	Analysis of Cardiac Dynamic Global Function. FIMH (2) Leon Axel, Mikael Kanski, Amit Jhaveri, Meng Ye, Bangwei Guo, Xiaoxiao He, Dimitris N. Metaxas
2025	J	`jnl`	K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model. CoRR Bangwei Guo, Yunhe Gao, Meng Ye, Difei Gu, Yang Zhou, Leon Axel, Dimitris N. Metaxas
2025	J	`jnl`	M^3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark. CoRR Yang Zhou, Mingyu Zhao, Zhenting Wang, Difei Gu, Bangwei Guo, Ruosong Ye, Ligong Han, Can Jin, Dimitris N. Metaxas
2025	—	`conf`	VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation. IPMI (1) Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, Dimitris N. Metaxas
2024	J	`jnl`	Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI. CoRR Meng Ye, Bingyu Xin, Bangwei Guo, Leon Axel, Dimitris N. Metaxas
2024	J	`jnl`	VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation. CoRR Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, Dimitris N. Metaxas
2023	J	`jnl`	A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations. Comput. Medical Imaging Graph. Bangwei Guo, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu
2023	J	`jnl`	DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture. CoRR Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
2023	J	`jnl`	Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines. CoRR Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu
2022	J	`jnl`	A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations. CoRR Bangwei Guo, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu
2022	J	`jnl`	Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer. CoRR Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu

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.