Feifei Qian - RankMe

37 papers A* 5B 1Misc 1Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Failure Mechanisms and Risk Estimation for Legged Robot Locomotion on Granular Slopes. CoRR Xingjue Liao, Feifei Qian
2026	J	`jnl`	Inverse Resistive Force Theory (I-RFT): Learning granular properties through robot-terrain physical interactions. CoRR Shipeng Liu, Feng Xue, Yifeng Zhang, Tarunika Ponnusamy, Feifei Qian
2026	J	`jnl`	Legged Autonomous Surface Science In Analogue Environments (LASSIE): Making Every Robotic Step Count in Planetary Exploration. CoRR Cristina G. Wilson, Marion Nachon, Shipeng Liu, John Ruck, J. Diego Caporale, Benjamin E. McKeeby, Yifeng Zhang, Jordan M. Bretzfelder, John Bush, Alivia M. Eng, Ethan Fulcher, Emmy B. Hughes, Ian C. Rankin, Jelis J. Sostre Cortés, Sophie Silver, Michael R. Zanetti, Ryan C. Ewing, Kenton R. Fisher, Douglas J. Jerolmack, Daniel E. Koditschek, Frances Rivera-Hernández, Thomas F. Shipley, Feifei Qian
2026	J	`jnl`	Proprioceptive Safe Active Navigation and Exploration for Planetary Environments. CoRR Matthew Y. Jiang, Feifei Qian, Shipeng Liu
2026	J	`jnl`	Scout-Rover cooperation: online terrain strength mapping and traversal risk estimation for planetary-analog explorations. CoRR Shipeng Liu, J. Diego Caporale, Yifeng Zhang, Xingjue Liao, William Hoganson, Wilson Hu, Shivangi Misra, Neha Peddinti, Rachel Holladay, Ethan Fulcher, Akshay Ram Panyam, Andrik Puentes, Jordan M. Bretzfelder, Michael R. Zanetti, Uland Wong, Daniel E. Koditschek, Mark Yim, Doug Jerolmack, Cynthia R. Sung, Feifei Qian
2025	A*	`conf`	A Bio-Inspired Sand-Rolling Robot: Effect of Body Shape on Sand Rolling Performance. ICRA Xingjue Liao, Wenhao Liu, Hao Wu, Feifei Qian
2025	J	`jnl`	A bio-inspired sand-rolling robot: effect of body shape on sand rolling performance. CoRR Xingjue Liao, Wenhao Liu, Hao Wu, Feifei Qian
2025	A*	`conf`	AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. IJCAI Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	J	`jnl`	Adaptive Locomotion on Mud through Proprioceptive Sensing of Substrate Properties. CoRR Shipeng Liu, Jiaze Tang, Siyuan Meng, Feifei Qian
2025	J	`jnl`	Bio-inspired tail oscillation enables robot fast crawling on deformable granular terrains. CoRR Shipeng Liu, Meghana Sagare, Shubham Patil, Feifei Qian
2025	A*	`conf`	DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification. AAAI Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock
2025	J	`jnl`	Effect of Gait Design on Proprioceptive Sensing of Terrain Properties in a Quadrupedal Robot. CoRR Ethan Fulcher, J. Diego Caporale, Yifeng Zhang, John Ruck, Feifei Qian
2025	A*	`conf`	Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint. IJCAI Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	J	`jnl`	Granular Loco-Manipulation: Repositioning Rocks Through Strategic Sand Avalanche. CoRR Haodi Hu, Yue Wu, Feifei Qian, Daniel Seita
2025	J	`jnl`	Safe Active Navigation and Exploration for Planetary Environments Using Proprioceptive Measurements. CoRR Matthew Jiang, Shipeng Liu, Feifei Qian
2024	J	`jnl`	AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. CoRR Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
2024	J	`jnl`	Effect of Adaptive Communication Support on Human-AI Collaboration. CoRR Shipeng Liu, F. N. U. Shrutika, Boshen Zhang, Zhehui Huang, Feifei Qian
2024	Misc	`conf`	Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope. CoRL Haodi Hu, Feifei Qian, Daniel Seita
2024	J	`jnl`	Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope. CoRR Haodi Hu, Feifei Qian, Daniel Seita
2024	A*	`conf`	Modelling Experts' Sampling Strategy to Balance Multiple Objectives During Scientific Explorations. HRI Shipeng Liu, Cristina G. Wilson, Zachary I. Lee, Feifei Qian
2024	J	`jnl`	Multi-robot connection towards collective obstacle field traversal. CoRR Haodi Hu, Xingjue Liao, Wuhao Du, Feifei Qian
2024	J	`jnl`	Obstacle-Aided Trajectory Control of a Quadrupedal Robot Through Sequential Gait Composition. IEEE Trans. Robotics Haodi Hu, Feifei Qian
2024	J	`jnl`	Understanding Human Dynamic Sampling Objectives to Enable Robot-assisted Scientific Decision Making. ACM Trans. Hum. Robot Interact. Shipeng Liu, Cristina G. Wilson, Bhaskar Krishnamachari, Feifei Qian
2023	J	`jnl`	Adaptation of Flipper-Mud Interactions Enables Effective Terrestrial Locomotion on Muddy Substrates. IEEE Robotics Autom. Lett. Shipeng Liu, Boyuan Huang, Feifei Qian
2023	—	`conf`	Fuel Consumption Analysis Based on Power System of B737-800 Aircraft. PCCNT Feifei Qian
2023	—	`conf`	Research on Performance Parameter Optimization for Aircraft based on Fuel Cost Objectives. PCCNT Qiu Li, Junjun Wang, Feifei Qian
2023	—	`conf`	Sensitivity Analysis of Power System Influence on B737-800 Fuel Costs. PCCNT Feifei Qian, Qiu Li, Guozhong Rong, Hang Wang
2023	J	`jnl`	Swift progress for robots over complex terrain. CoRR Chen Li, Feifei Qian
2022	J	`jnl`	Planning of Obstacle-Aided Navigation for Multi-Legged Robots Using a Sampling-Based Method Over Directed Graphs. IEEE Robotics Autom. Lett. Kaustav Chakraborty, Haodi Hu, Matthew D. Kvalheim, Feifei Qian
2020	J	`jnl`	An obstacle disturbance selection framework: emergent robot steady states under repeated collisions. Int. J. Robotics Res. Feifei Qian, Daniel E. Koditschek
2020	B	`conf`	Data Foraging: Spatiotemporal Data Collection Decisions in Disciplinary Field Science. CogSci Cristina Wilson, Feifei Qian, Doug Jerolmack, Thomas F. Shipley, Sonia F. Roberts, Jonathan Ham, Daniel E. Koditschek
2020	J	`jnl`	Modulation of Robot Orientation Via Leg-Obstacle Contact Positions. IEEE Robotics Autom. Lett. Divya Ramesh, Anmol Kathail, Daniel E. Koditschek, Feifei Qian
2017	J	`jnl`	Collision-induced scattering of a self-propelled slithering robot. CoRR Jennifer M. Rieser, Perrin E. Schiebel, Arman Pazouki, Feifei Qian, Zachary Goddard, Andrew Zangwill, Dan Negrut, Daniel I. Goldman
2016	J	`jnl`	A review on locomotion robophysics: the study of movement at the intersection of robotics, soft matter and dynamical systems. CoRR Jeffrey Aguilar, Tingnan Zhang, Feifei Qian, Mark Kingsbury, Benjamin McInroe, Nicole Mazouchova, Chen Li, Ryan D. Maladen, Chaohui Gong, Matthew J. Travers, Ross L. Hatton, Howie Choset, Paul B. Umbanhowar, Daniel I. Goldman
2015	—	`conf`	The dynamics of legged locomotion in heterogeneous terrain: universality in scattering and sensitivity to initial conditions. Robotics: Science and Systems Feifei Qian, Daniel I. Goldman
2013	J	`jnl`	Ground fluidization promotes rapid running of a lightweight robot. Int. J. Robotics Res. Tingnan Zhang, Feifei Qian, Chen Li, Pierangelo Masarati, Aaron M. Hoover, Paul Birkmeyer, Andrew O. Pullin, Ronald S. Fearing, Daniel I. Goldman
2012	—	`conf`	Walking and running on yielding and fluidizing ground. Robotics: Science and Systems Feifei Qian, Tingnan Zhang, Chen Li, Aaron M. Hoover, Pierangelo Masarati, Paul Birkmeyer, Andrew O. Pullin, Ronald S. Fearing, Daniel I. Goldman

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.