Yanggang Feng - RankMe

15 papers A* 1A 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Wearable Isokinetic Training Robot for Enhanced Bedside Knee Rehabilitation. IEEE Trans. Robotics Yanggang Feng, Xingyu Hu, Yuebing Li, Ke Ma, Jiaxin Ren, Zhihao Zhou, Fuzhen Yuan, Yan Huang, Liu Wang, Qining Wang, Wuxiang Zhang, Xilun Ding
2025	—	`conf`	An IMU-Based Gait Event Detection Algorithm for Post-Stroke Individuals. ROBIO Yunhan Wu, Danqiang An, Yujing Zhang, Ruohan Yang, Di Shi, Yanggang Feng, Chengcai Wang, Wuxiang Zhang
2025	J	`jnl`	Design and Evaluation of a Soft Knee Exosuit for Reducing Knee Medial Compartment Load During Walking. IEEE Trans. Biomed. Eng. Yibo Han, Di Shi, Yixin Shao, Yanggang Feng, Xilun Ding, Wuxiang Zhang
2025	J	`jnl`	Design and preliminary validation of a compatible lower limb exoskeleton with variable stiffness actuation. Robotica Yufeng Zhou, Yixin Shao, Di Shi, Yanggang Feng, Xilun Ding, Wuxiang Zhang
2025	J	`jnl`	Inter-Day Grasping Model Generalization for Prosthetic Hand Using Soft Optical Sensing Sleeve. Adv. Intell. Syst. Linhang Ju, Hanze Jia, Yanggang Feng, Yan Huang, Yanjun Shi, Di Shi, Yixin Shao, Fuzhen Yuan, Yu Zhao, Xilun Ding, Wuxiang Zhang
2025	—	`conf`	Trajectory Error Prediction of Manipulator Using Seq2Seq Gated and Adaptive Continuous-Time Recurrent Neural Network (S2S-GACTRNN). ROBIO Ke Ma, Wenjie Chen, Liheng Tuo, Xingyu Hu, Haoyang Wu, Yixin Shao, Di Shi, Kunyang Wang, Chengcai Wang, Tao Zhang, Yanggang Feng, Wuxiang Zhang, Xilun Ding
2024	A	`conf`	A Series Variable-stiffness Joint for Robot-assisted Resistance Training. IROS Xingyu Hu, Yuebing Li, Haoyang Wu, Wuxiang Zhang, Yanggang Feng
2024	A*	`conf`	Continuously Estimate and Control Prosthetic Grip Force by an Optical Waveguide Sensor. ICRA Linhang Ju, Hanze Jia, Yanjun Shi, Xilun Ding, Yanggang Feng, Wuxiang Zhang
2023	—	`conf`	Spatial or Temporal Signal Considered for Gait Recognition based on Optic-fiber Sensor. ROBIO Hanze Jia, Hongtao Ma, Yang Cheng, Linhang Ju, Yanggang Feng, Wuxiang Zhang
2020	J	`jnl`	Energy Regeneration From Electromagnetic Induction by Human Dynamics for Lower Extremity Robotic Prostheses. IEEE Trans. Robotics Yanggang Feng, Jingeng Mai, Sunil K. Agrawal, Qining Wang
2019	J	`jnl`	A strain gauge based locomotion mode recognition method using convolutional neural network. Adv. Robotics Yanggang Feng, Wanwen Chen, Qining Wang
2019	J	`jnl`	Using One Strain Gauge Bridge to Detect Gait Events for a Robotic Prosthesis. Robotica Yanggang Feng, Qining Wang
2016	J	`jnl`	Combining Vibrotactile Feedback with Volitional Myoelectric Control for Robotic Transtibial Prostheses. Frontiers Neurorobotics Baojun Chen, Yanggang Feng, Qining Wang
2016	—	`conf`	Metabolic cost of level-ground walking with a robotic transtibial prosthesis combining push-off power and nonlinear damping behaviors: Preliminary results. EMBC Yanggang Feng, Jinying Zhu, Qining Wang
2015	—	`conf`	Improving the safety of ankle-foot rehabilitation system with hybrid control. AIM Geng Chen, Zhihao Zhou, Yanggang Feng, Rongli Wang, Ninghua Wang, Qining Wang

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.