Qianchen Xia - RankMe

14 papers A* 2A 1Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DFAF-YOLO: Rescue Action Recognition Network Based on Dynamic Feature Extraction and Multiscale Attention Fusion in UAV Perspective. IEEE Access Bo Yang, Tao Liu, Chen Geng, Qianchen Xia, Huiqing Lian, Yan Tian
2025	A*	`conf`	Exploring Historical Information for RGBE Visual Tracking with Mamba. CVPR Chuanyu Sun, Jiqing Zhang, Yang Wang, Huilin Ge, Qianchen Xia, Baocai Yin, Xin Yang
2025	A	`conf`	Localization Hints Exploration for Object Matting. ICME Yu Qiao, Tianyu Meng, Huilin Ge, Xinning Wang, Jiayue Zhao, Qianchen Xia, Xin Yang
2025	—	`conf`	Lunar Twins: We Choose to Go to the Moon with Large Language Models. ACL (Findings) Xin-Yu Xiao, Yalei Liu, Xiangyu Liu, Zengrui Li, Erwei Yin, Qianchen Xia
2024	A*	`conf`	Exploring Matching Rates: From Keypoint Selection to Camera Relocalization. ACM Multimedia Hu Lin, Chengjiang Long, Yifeng Fei, Qianchen Xia, Erwei Yin, Baocai Yin, Xin Yang
2024	J	`jnl`	Flexible Strain Sensor-Based Data Glove for Gesture Interaction in the Metaverse: A Review. Int. J. Hum. Comput. Interact. Bowen Ji, Xuanqi Wang, Zekai Liang, Haoyang Zhang, Qianchen Xia, Liang Xie, Huijiong Yan, Fanqi Sun, Huicheng Feng, Kai Tao, Qiang Shen, Erwei Yin
2024	—	`conf`	Large Model based Sequential Keyframe Extraction for Video Summarization. CMLDS Kailong Tan, Yuxiang Zhou, Qianchen Xia, Rui Liu, Yong Chen
2024	J	`jnl`	Large Model based Sequential Keyframe Extraction for Video Summarization. CoRR Kailong Tan, Yuxiang Zhou, Qianchen Xia, Rui Liu, Yong Chen
2023	J	`jnl`	PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning. CoRR Rui Liu, Bin Yin, Ziyi Cao, Qianchen Xia, Yong Chen, Dell Zhang
2023	—	`conf`	Spiking Reinforcement Learning for Weakly-Supervised Anomaly Detection. ICONIP (5) Ao Jin, Zhichao Wu, Li Zhu, Qianchen Xia, Xin Yang
2022	—	`conf`	6-DoF Pose Relocalization for Event Cameras With Entropy Frame and Attention Networks. VRCAI Hu Lin, Meng Li, Qianchen Xia, Yifeng Fei, Baocai Yin, Xin Yang
2021	—	`conf`	A Fusion Framework to Enhance sEMG-Based Gesture Recognition Using TD and FD Features. ICONIP (6) Yao Luo, Tao Luo, Qianchen Xia, Huijiong Yan, Liang Xie, Ye Yan, Erwei Yin
2020	J	`jnl`	A New Information-Theoretic Method for Advertisement Conversion Rate Prediction for Large-Scale Sparse Data Based on Deep Learning. Entropy Qianchen Xia, Jianghua Lv, Shilong Ma, Bocheng Gao, Zhenhua Wang
2017	—	`conf`	The Keyword Extraction of Chinese Medical Web Page Based on WF-TF-IDF Algorithm. CyberC Peng Sun, Lihua Wang, Qianchen Xia

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.