Qing Zhao - RankMe

20 papers A* 5Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	View refinement net: Pluralistic shape completion. Neurocomputing Siyi Tian, Wenhe Chen, Wei He, Qing Zhao, Lunning Zhang
2025	A*	`conf`	Component-Aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection. ICRA Xuan Tong, Yang Chang, Qing Zhao, Jiawen Yu, Boyang Wang, Junxiong Lin, Yuxuan Lin, Xinji Mai, Haoran Wang, Zeng Tao, Yan Wang, Wenqiang Zhang
2025	J	`jnl`	Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection. CoRR Xuan Tong, Yang Chang, Qing Zhao, Jiawen Yu, Boyang Wang, Junxiong Lin, Yuxuan Lin, Xinji Mai, Haoran Wang, Zeng Tao, Yan Wang, Wenqiang Zhang
2025	J	`jnl`	Observe finer to select better: Learning key frame extraction via semantic coherence for dynamic facial expression recognition in the wild. Inf. Sci. Shaoqi Yan, Yan Wang, Xinji Mai, Zeng Tao, Wei Song, Qing Zhao, Boyang Wang, Haoran Wang, Shuyong Gao, Wenqiang Zhang
2024	J	`jnl`	A CoRR Zeng Tao, Yan Wang, Junxiong Lin, Haoran Wang, Xinji Mai, Jiawen Yu, Xuan Tong, Ziheng Zhou, Shaoqi Yan, Qing Zhao, Liyuan Han, Wenqiang Zhang
2024	—	`conf`	Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution. ECCV (52) Junxiong Lin, Yan Wang, Zeng Tao, Boyang Wang, Qing Zhao, Haorang Wang, Xuan Tong, Xinji Mai, Yuxuan Lin, Wei Song, Jiawen Yu, Shaoqi Yan, Wenqiang Zhang
2024	J	`jnl`	Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution. CoRR Junxiong Lin, Yan Wang, Zeng Tao, Boyang Wang, Qing Zhao, Haorang Wang, Xuan Tong, Xinji Mai, Yuxuan Lin, Wei Song, Jiawen Yu, Shaoqi Yan, Wenqiang Zhang
2024	A*	`conf`	All rivers run into the sea: Unified Modality Brain-Inspired Emotional Central Mechanism. ACM Multimedia Xinji Mai, Junxiong Lin, Haoran Wang, Zeng Tao, Yan Wang, Shaoqi Yan, Xuan Tong, Jiawen Yu, Boyang Wang, Ziheng Zhou, Qing Zhao, Shuyong Gao, Wenqiang Zhang
2024	J	`jnl`	All rivers run into the sea: Unified Modality Brain-like Emotional Central Mechanism. CoRR Xinji Mai, Junxiong Lin, Haoran Wang, Zeng Tao, Yan Wang, Shaoqi Yan, Xuan Tong, Jiawen Yu, Boyang Wang, Ziheng Zhou, Qing Zhao, Shuyong Gao, Wenqiang Zhang
2024	—	`conf`	Edge-SAN: An Edge-Prompted Foundation Model for Accurate Nuclei Instance Segmentation in Histology Images. BIBM Xuening Wu, Yiqing Shen, Qing Zhao, Yanlan Kang, Ruiqi Hu, Wenqiang Zhang
2024	J	`jnl`	Empower smart cities with sampling-wise dynamic facial expression recognition via frame-sequence contrastive learning. Comput. Commun. Shaoqi Yan, Yan Wang, Xinji Mai, Qing Zhao, Wei Song, Jun Huang, Zeng Tao, Haoran Wang, Shuyong Gao, Wenqiang Zhang
2024	A*	`conf`	FD-UAD: Unsupervised Anomaly Detection Platform Based on Defect Autonomous Imaging and Enhancement. IJCAI Yang Chang, Yuxuan Lin, Boyang Wang, Qing Zhao, Yan Wang, Wenqiang Zhang
2024	J	`jnl`	Hi-EF: Benchmarking Emotion Forecasting in Human-interaction. CoRR Haoran Wang, Xinji Mai, Zeng Tao, Yan Wang, Jiawen Yu, Ziheng Zhou, Xuan Tong, Shaoqi Yan, Qing Zhao, Shuyong Gao, Wenqiang Zhang
2024	J	`jnl`	MSC-AD: A Multiscene Unsupervised Anomaly Detection Dataset for Small Defect Detection of Casting Surface. IEEE Trans. Ind. Informatics Qing Zhao, Yan Wang, Boyang Wang, Junxiong Lin, Shaoqi Yan, Wei Song, Antonio Liotta, Jiawen Yu, Shuyong Gao, Wenqiang Zhang
2024	J	`jnl`	Mixed noise-guided mutual constraint framework for unsupervised anomaly detection in smart industries. Comput. Commun. Qing Zhao, Yan Wang, Yuxuan Lin, Shaoqi Yan, Wei Song, Boyang Wang, Jun Huang, Yang Chang, Lizhe Qi, Wenqiang Zhang
2024	—	`conf`	Research on Task Decomposition and Motion Trajectory Optimization of Robotic Arm Based on VLA Large Model. ICMLCA Wentao Lu, Xiaofeng Wu, Shuyong Gao, Wei He, Qing Zhao, Lunning Zhang, Maodong Li, Wenqiang Zhang
2024	J	`jnl`	Seeking Certainty In Uncertainty: Dual-Stage Unified Framework Solving Uncertainty in Dynamic Facial Expression Recognition. CoRR Haoran Wang, Xinji Mai, Zeng Tao, Xuan Tong, Junxiong Lin, Yan Wang, Jiawen Yu, Boyang Wang, Shaoqi Yan, Qing Zhao, Ziheng Zhou, Shuyong Gao, Wenqiang Zhang
2024	A*	`conf`	Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution. ACM Multimedia Junxiong Lin, Zen Tao, Xuan Tong, Xinji Mai, Haoran Wang, Boyang Wang, Yan Wang, Qing Zhao, Jiawen Yu, Yuxuan Lin, Shaoqi Yan, Shuyong Gao, Wenqiang Zhang
2024	J	`jnl`	Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution. CoRR Junxiong Lin, Zeng Tao, Xuan Tong, Xinji Mai, Haoran Wang, Boyang Wang, Yan Wang, Qing Zhao, Jiawen Yu, Yuxuan Lin, Shaoqi Yan, Shuyong Gao, Wenqiang Zhang
2023	A*	`conf`	A Capture to Registration Framework for Realistic Image Super-Resolution in the Industry Environment. ACM Multimedia Boyang Wang, Yan Wang, Qing Zhao, Junxiong Lin, Zeng Tao, Pinxue Guo, Zhaoyu Chen, Kaixun Jiang, Shaoqi Yan, Shuyong Gao, Wenqiang Zhang

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.