Qiming Guo - RankMe

20 papers A* 3A 1C 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture. AAAI Qiming Guo, Bishal Khatri, Wenbo Sun, Jinwen Tang, Hua Zhang, Wenlu Wang
2026	A	`conf`	Effective On-Hardware Fuzzing of Embedded Operating Systems. EuroSys Yuheng Shen, Jianzhong Liu, Qiming Guo, Yifei Chu, Qiang Zhang, Heyuan Shi, Yu Jiang
2025	—	`conf`	A Layered Multi-Expert Framework for Long-Context Mental Health Assessments. CAI Jinwen Tang, Qiming Guo, Wenbo Sun, Yi Shang
2025	J	`jnl`	A Layered Multi-Expert Framework for Long-Context Mental Health Assessments. CoRR Jinwen Tang, Qiming Guo, Wenbo Sun, Yi Shang
2025	J	`jnl`	AI-Driven Forecasting and Monitoring of Urban Water System. CoRR Qiming Guo, Bishal Khatri, Hua Zhang, Wenlu Wang
2025	J	`jnl`	Accessible and Portable LLM Inference by Compiling Computational Graphs into SQL. CoRR Wenbo Sun, Qiming Guo, Wenlu Wang, Rihan Hai
2025	J	`jnl`	AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture. CoRR Qiming Guo, Bishal Khatri, Wenbo Sun, Jinwen Tang, Hua Zhang, Wenlu Wang
2025	J	`jnl`	Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models. CoRR Qiming Guo, Jinwen Tang, Xingran Huang
2025	A*	`conf`	Efficient Unlearning for Spatio-temporal Graph (Student Abstract). AAAI Qiming Guo, Chen Pan, Hua Zhang, Wenlu Wang
2025	J	`jnl`	RPKT: Learning What You Don't - Know Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning. CoRR Jinwen Tang, Qiming Guo, Zhicheng Tang
2025	J	`jnl`	Spatio-Temporal Graph Unlearning. CoRR Qiming Guo, Wenbo Sun, Wenlu Wang
2025	J	`jnl`	TranSQL Proc. ACM Manag. Data Wenbo Sun, Qiming Guo, Wenlu Wang, Rihan Hai
2024	J	`jnl`	CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines. CoRR Wenbo Sun, Jiaqi Wang, Qiming Guo, Ziyu Li, Wenlu Wang, Rihan Hai
2024	—	`conf`	Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative Stories. CogMI Jinwen Tang, Qiming Guo, Yunxin Zhao, Yi Shang
2024	J	`jnl`	Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative Stories. CoRR Jinwen Tang, Qiming Guo, Yunxin Zhao, Yi Shang
2024	—	`conf`	HydroNet: A Spatio-temporal Graph Neural Network for Modeling Hydraulic Dependencies in Urban Wastewater Systems. SIGSPATIAL/GIS Qiming Guo, Wenlu Wang
2024	A*	`conf`	SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice. USENIX Security Symposium Tushar Nayan, Qiming Guo, Mohammed Alduniawi, Marcus Botacin, A. Selcuk Uluagac, Ruimin Sun
2024	J	`jnl`	SouLLMate: An Adaptive LLM-Driven System for Advanced Mental Health Support and Assessment, Based on a Systematic Application Survey. CoRR Qiming Guo, Jinwen Tang, Wenbo Sun, Haoteng Tang, Yi Shang, Wenlu Wang
2024	J	`jnl`	SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques. CoRR Qiming Guo, Jinwen Tang, Wenbo Sun, Haoteng Tang, Yi Shang, Wenlu Wang
2018	C	`conf`	A Fast Charging System based on Charging Current Dynamic Adjustment Method. ISCAS Jilong Guo, Qiming Guo, Xinghui Liu, Jiahao Kang, Bihua Yang, Jun Xie, Ximeng Guan, Jiasong Sun, Ze Yuan, Xiang Zou, Peng Wei, Xiaojun Yu, Zihong Liu

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.