Feiyi Fan - RankMe

21 papers A* 1B 1C 2Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition. CoRR Qingyu Wu, Jianfei Shen, Feiyi Fan, Yang Gu, Chenyang Xu, Yiqiang Chen
2026	J	`jnl`	SeCuRe: Toward sparse-view 3D curve reconstruction with Gaussian Splatting. Comput. Graph. Tian Feng, Haojie Dong, Jinkang Ji, Junao Shen, Feiyi Fan
2025	J	`jnl`	DDIR: Domain-Disentangled Invariant Representation learning for tailored predictions. Knowl. Based Syst. Yuan Ma, Yang Gu, Xin Qin, Shuai Guo, Feiyi Fan, Fan Dong, Yiqiang Chen
2025	J	`jnl`	PhysCL: Knowledge-Aware Contrastive Learning of Physiological Signal Models for Cuff-Less Blood Pressure Estimation. IEEE J. Biomed. Health Informatics Renju Liu, Jianfei Shen, Yang Gu, Yiqiang Chen, Jiling Zhang, Qingyu Wu, Chenyang Xu, Feiyi Fan
2024	B	`conf`	An EEG-Based Depressive Detection Network with Adaptive Feature Learning and Channel Activation. CogSci Chenyang Xu, Feiyi Fan, Jianfei Shen, Hanguang Wang, Zhongyi Zhang, Qing-Hao Meng
2024	—	`conf`	Parallel Attention Based Network for Human Activity Recognition Using Wearable Devices. ICPR (13) Chenyang Xu, Feiyi Fan, Guanzhou Ke, Changru Guo, Qingyu Wu, Jianfei Shen
2023	—	`conf`	Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition. BIBM Qingyu Wu, Jianfei Shen, Feiyi Fan, Yang Gu, Chenyang Xu, Yiqiang Chen
2023	J	`jnl`	FewShotBP: Towards Personalized Ubiquitous Continuous Blood Pressure Measurement. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Feiyi Fan, Yang Gu, Jianfei Shen, Fan Dong, Yiqiang Chen
2022	C	`conf`	A Shallow Convolution Network Based Contextual Attention for Human Activity Recognition. MobiQuitous Chenyang Xu, Zhihong Mao, Feiyi Fan, Tian Qiu, Jianfei Shen, Yang Gu
2022	C	`conf`	An Enhanced Human Activity Recognition Algorithm with Positional Attention. ACML Chenyang Xu, Jianfei Shen, Feiyi Fan, Tian Qiu, Zhihong Mao
2022	—	`conf`	Motion-Robust Respiratory Signal Reconstruction Using Smart Glasses. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Qingyu Wu, Jianfei Shen, Yang Gu, Feiyi Fan, Yiqiang Chen
2022	—	`conf`	Through-Wall Human Trajectory Tracking Based on Multi-view Fusion Attention Mechanism. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Fei Lei, Feiyi Fan, Jianfei Shen
2021	J	`jnl`	A review of computer graphics approaches to urban modeling from a machine learning perspective. Frontiers Inf. Technol. Electron. Eng. Tian Feng, Feiyi Fan, Tomasz Bednarz
2021	A*	`conf`	MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. ICDE Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Lei Zhu, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi
2020	J	`jnl`	MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines. CoRR Zhaojing Luo, Sai Ho Yeung, Meihui Zhang, Kaiping Zheng, Gang Chen, Feiyi Fan, Qian Lin, Kee Yuan Ngiam, Beng Chin Ooi
2020	J	`jnl`	The Disruptions of 5G on Data-Driven Technologies and Applications. IEEE Trans. Knowl. Data Eng. Dumitrel Loghin, Shaofeng Cai, Gang Chen, Tien Tuan Anh Dinh, Feiyi Fan, Qian Lin, Janice Ng, Beng Chin Ooi, Xutao Sun, Quang-Trung Ta, Wei Wang, Xiaokui Xiao, Yang Yang, Meihui Zhang, Zhonghua Zhang
2019	—	`conf`	A Data-Driven Optimisation Approach to Urban Multi-Site Selection for Public Services and Retails. VRCAI Tian Feng, Feiyi Fan, Tomasz Bednarz
2019	J	`jnl`	Attentive Geo-Social Group Recommendation. CoRR Fei Yu, Feiyi Fan, Shouxu Jiang, Kaiping Zheng
2019	J	`jnl`	The Disruptions of 5G on Data-driven Technologies and Applications. CoRR Dumitrel Loghin, Shaofeng Cai, Gang Chen, Tien Tuan Anh Dinh, Feiyi Fan, Qian Lin, Janice Ng, Beng Chin Ooi, Xutao Sun, Quang-Trung Ta, Wei Wang, Xiaokui Xiao, Yang Yang, Meihui Zhang, Zhonghua Zhang
2018	J	`jnl`	Estimating SpO IEEE J. Biomed. Health Informatics Feiyi Fan, Yuepeng Yan, Kun Zhao, Fei Long, Hao Zhang
2017	J	`jnl`	A motion-tolerant approach for monitoring SpO Comput. Biol. Medicine Feiyi Fan, Yuepeng Yan, Yongzhong Tang, Hao 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.