Qiongyan Wang - RankMe

15 papers A* 4A 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing. WWW Xusen Guo, Mingxing Peng, Xixuan Hao, Xingchen Zou, Qiongyan Wang, Sijie Ruan, Yuxuan Liang
2025	J	`jnl`	A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation. CoRR Songxin Lei, Qiongyan Wang, Yanchen Zhu, Hanyu Yao, Sijie Ruan, Weilin Ruan, Yuyu Luo, Huaming Wu, Yuxuan Liang
2025	J	`jnl`	AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing. CoRR Xusen Guo, Mingxing Peng, Xixuan Hao, Xingchen Zou, Qiongyan Wang, Sijie Ruan, Yuxuan Liang
2025	A*	`conf`	AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. AAAI Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang
2025	J	`jnl`	AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. CoRR Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang
2025	J	`jnl`	Privacy-Protected Sleep Staging Using Blurred Videos. IEEE J. Biomed. Health Informatics Qiongyan Wang, Ming Xia, Yingen Zhu, Hanrong Cheng, Wenjin Wang
2025	J	`jnl`	Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence. CoRR Qiongyan Wang, Xingchen Zou, Yutian Jiang, Haomin Wen, Jiaheng Wei, Qingsong Wen, Yuxuan Liang
2025	J	`jnl`	Video-PSG: An Intelligent Contactless Monitoring System for Sleep Staging. IEEE Trans. Biomed. Eng. Qiongyan Wang, Hanrong Cheng, Wenjin Wang
2024	A*	`conf`	Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
2024	J	`jnl`	Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. CoRR Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
2024	A*	`conf`	Spatio-Temporal Field Neural Networks for Air Quality Inference. IJCAI Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Yuxuan Liang
2024	J	`jnl`	Spatio-Temporal Field Neural Networks for Air Quality Inference. CoRR Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Kun Wang, Shifen Cheng, Yuxuan Liang
2023	—	`conf`	Feasibility of Exploiting Physiological and Motion Features for Camera-based Sleep Staging: A Clinical Study. EMBC Qiongyan Wang, Hanrong Cheng, Wenjin Wang
2022	A	`conf`	Fidelity Evaluation of Virtual Traffic Based on Anomalous Trajectory Detection. IROS Chaoneng Li, Qianwen Chao, Guanwen Feng, Qiongyan Wang, Pengfei Liu, Yunan Li, Qiguang Miao
2022	J	`jnl`	Velocity-based dynamic crowd simulation by data-driven optimization. Vis. Comput. Pengfei Liu, Qianwen Chao, Hen-Wei Huang, Qiongyan Wang, Zhongyuan Zhao, Qi Peng, Milo K. Yip, Elvis S. Liu, Xiaogang Jin

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.