Fangfang Yang - RankMe

39 papers A 2B 2Journal 28Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models. CoRR Xiang Chen, Fangfang Yang, Chunlei Meng, Chengyin Hu, Ang Li, Yiwei Wei, Jiahuan Long, Jiujiang Guo
2025	J	`jnl`	Battery State of Health Estimation Based on Energy Features and ResNet-SVR Model. Qual. Reliab. Eng. Int. Yueying Xiao, Zhenfeng Lu, Chudan Huang, Fangfang Yang
2024	J	`jnl`	A Bayesian deep learning pipeline for lithium-ion battery SOH estimation with uncertainty quantification. Qual. Reliab. Eng. Int. Yuqi Ke, Mingzhu Long, Fangfang Yang, Weiwen Peng
2024	A	`conf`	DIABLO: A 6-DoF Wheeled Bipedal Robot Composed Entirely of Direct-Drive Joints. IROS Dingchuan Liu, Fangfang Yang, Xuanhong Liao, Ximin Lyu
2024	J	`jnl`	DIABLO: A 6-DoF Wheeled Bipedal Robot Composed Entirely of Direct-Drive Joints. CoRR Dingchuan Liu, Fangfang Yang, Xuanhong Liao, Ximin Lyu
2024	J	`jnl`	State of Health Estimation for Second-Life Lithium-Ion Batteries in Energy Storage System With Partial Charging-Discharging Workloads. IEEE Trans. Ind. Electron. Yiyue Jiang, Yuqi Ke, Fangfang Yang, Jinchen Ji, Weiwen Peng
2023	—	`conf`	A Study of Junior High School Students' Willingness to Learn Table Tennis Using VR Technology. HCI (32) Fangfang Yang, Longfei Ren, Chao Gu, Jinguang Wei
2023	J	`jnl`	A power model considering initial battery state for remaining useful life prediction of lithium-ion batteries. Reliab. Eng. Syst. Saf. Fanbing Meng, Fangfang Yang, Jun Yang, Min Xie
2023	—	`conf`	Achieving Certified Robustness for Brain-Inspired Low-Dimensional Computing Classifiers. INFOCOM Workshops Fangfang Yang, Shijin Duan, Xiaolin Xu, Shaolei Ren
2023	—	`conf`	Decision Boundary Expansion For Open Set Fault Diagnosis. I2MTC Yu Zhao, Xingwu Zhang, Fangfang Yang, Xiaolei Yu, Ruqiang Yan, Xuefeng Chen
2022	J	`jnl`	A Geometric Approach for Real-Time Forward Kinematics of the General Stewart Platform. Sensors Fangfang Yang, Xiaojun Tan, Zhe Wang, Zhenfeng Lu, Tao He
2021	J	`jnl`	Active Balancing of Lithium-Ion Batteries Using Graph Theory and A-Star Search Algorithm. IEEE Trans. Ind. Informatics Guangzhong Dong, Fangfang Yang, Kwok-Leung Tsui, Changfu Zou
2021	J	`jnl`	Automatic Detection of Rail Components via A Deep Convolutional Transformer Network. CoRR Tiange Wang, Zijun Zhang, Fangfang Yang, Kwok-Leung Tsui
2021	—	`conf`	CompKey: Exploiting Computer's Electromagnetic Radiation for Secret Key Generation. CNS Fangfang Yang, Mohammad A. Islam, Fan Wu, Shaolei Ren
2021	J	`jnl`	Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method. CoRR Tiange Wang, Zijun Zhang, Fangfang Yang, Kwok-Leung Tsui
2021	J	`jnl`	Life prediction of lithium-ion batteries based on stacked denoising autoencoders. Reliab. Eng. Syst. Saf. Fan Xu, Fangfang Yang, Zicheng Fei, Zhelin Huang, Kwok-Leung Tsui
2021	J	`jnl`	Prognostics for lithium-ion batteries using a two-phase gamma degradation process model. Reliab. Eng. Syst. Saf. Chun Pang Lin, Man Ho Ling, Javier Cabrera, Fangfang Yang, Denis Yau Wai Yu, Kwok Leung Tsui
2021	J	`jnl`	Quality Classification of Lithium Battery in Microgrid Networks Based on Smooth Localized Complex Exponential Model. Complex. Zhelin Huang, Fangfang Yang
2020	J	`jnl`	Adversarial Attacks on Brain-Inspired Hyperdimensional Computing-Based Classifiers. CoRR Fangfang Yang, Shaolei Ren
2020	J	`jnl`	Constructing a health indicator for roller bearings by using a stacked auto-encoder with an exponential function to eliminate concussion. Appl. Soft Comput. Fan Xu, Zhelin Huang, Fangfang Yang, Dong Wang, Kwok Leung Tsui
2020	J	`jnl`	Data-Driven Battery Health Prognosis Using Adaptive Brownian Motion Model. IEEE Trans. Ind. Informatics Guangzhong Dong, Fangfang Yang, Zhongbao Wei, Jingwen Wei, Kwok-Leung Tsui
2020	J	`jnl`	Fault diagnosis of electrohydraulic actuator based on multiple source signals: An experimental investigation. Neurocomputing Jianyu Wang, Jianguo Miao, Jinglin Wang, Fangfang Yang, Kwok-Leung Tsui, Qiang Miao
2020	B	`conf`	On the Vulnerability of Hyperdimensional Computing-Based Classifiers to Adversarial Attacks. NSS Fangfang Yang, Shaolei Ren
2020	B	`conf`	PowerKey: Generating Secret Keys from Power Line Electromagnetic Interferences. NSS Fangfang Yang, Mohammad A. Islam, Shaolei Ren
2020	J	`jnl`	Real-Time Detection of Railway Track Component via One-Stage Deep Learning Networks. Sensors Tiange Wang, Fangfang Yang, Kwok-Leung Tsui
2020	A	`conf`	ST-MFM: A Spatiotemporal Multi-Modal Fusion Model for Urban Anomalies Prediction. ECAI Ruiqiang Liu, Shuai Zhao, Bo Cheng, Hao Yang, Haina Tang, Fangfang Yang
2020	J	`jnl`	Vegetation-Ice-Bare Land Cover Conversion in the Oceanic Glacial Region of Tibet Based on Multiple Machine Learning Classifications. Remote. Sens. Fangfang Yang, Yanxu Liu, Linlin Xu, Kui Li, Panpan Hu, Jixing Chen
2019	J	`jnl`	Bearing Performance Degradation Assessment Based on Ensemble Empirical Mode Decomposition and Affinity Propagation Clustering. IEEE Access Fan Xu, Xiangbao Song, Kwok-Leung Tsui, Fangfang Yang, Zhelin Huang
2019	J	`jnl`	Combined CNN-LSTM Network for State-of-Charge Estimation of Lithium-Ion Batteries. IEEE Access Xiangbao Song, Fangfang Yang, Dong Wang, Kwok-Leung Tsui
2019	J	`jnl`	Convolutional Gated Recurrent Unit-Recurrent Neural Network for State-of-Charge Estimation of Lithium-Ion Batteries. IEEE Access Zhelin Huang, Fangfang Yang, Fan Xu, Xiangbao Song, Kwok-Leung Tsui
2019	J	`jnl`	Hopf Bifurcation Analysis of a Synthetic Drug Transmission Model with Time Delays. Complex. Zizhen Zhang, Fangfang Yang, Wanjun Xia
2019	J	`jnl`	State-of-Charge Estimation of Lithium-Ion Batteries via Long Short-Term Memory Network. IEEE Access Fangfang Yang, Xiangbao Song, Fan Xu, Kwok-Leung Tsui
2018	—	`conf`	Student Eye Gaze Tracking During MOOC Teaching. SCIS&ISIS Fangfang Yang, Zengru Jiang, Chaojun Wang, Yaping Dai, Zhiyang Jia, Kaoru Hirota
2017	J	`jnl`	Battery remaining useful life prediction at different discharge rates. Microelectron. Reliab. Dong Wang, Fangfang Yang, Yang Zhao, Kwok-Leung Tsui
2017	J	`jnl`	Prognostics of Li(NiMnCo)O Microelectron. Reliab. Fangfang Yang, Dong Wang, Yinjiao Xing, Kwok-Leung Tsui
2017	J	`jnl`	Prognostics of Lithium-ion batteries based on state space modeling with heterogeneous noise variances. Microelectron. Reliab. Dong Wang, Fangfang Yang, Yang Zhao, Kwok-Leung Tsui
2016	J	`jnl`	Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter. IEEE Trans. Instrum. Meas. Dong Wang, Fangfang Yang, Kwok-Leung Tsui, Qiang Zhou, Suk Joo Bae
2010	—	`conf`	Social Network Mining Based on Wikipedia. IALP Fangfang Yang, Zhiming Xu, Sheng Li, Zhikai Xu
2010	—	`conf`	Social network mining based on improved vector space model. ICIMCS Fangfang Yang, Zhiming Xu, Sheng Li, Xiukun Li

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.