Fang Liu - RankMe

18 papers A 1B 2Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analysis Methodology for Age of Information Under Sequence-Based Scheduling. IEEE Trans. Inf. Theory Fang Liu, Wing Shing Wong, Yuan-Hsun Lo, Yijin Zhang, Chung Shue Chen
2024	J	`jnl`	Analysis Methodology for Age of Information under Sequence Based Scheduling. CoRR Fang Liu, Wing Shing Wong, Yuan-Hsun Lo, Yijin Zhang, Chung Shue Chen
2024	A	`conf`	Demo: MuRa: A Scalable Mobile Ultra-wideband Testbed for Multi-node Ranging. MobiSys Shaoyang Yang, Fang Liu, Hai Li, Guoliang Xing, Hongkai Chen
2024	J	`jnl`	Distributed Resource Allocation With Federated Learning for Delay-Sensitive IoV Services. IEEE Trans. Veh. Technol. Xiaoqin Song, Yuqing Hua, Yang Yang, Guoliang Xing, Fang Liu, Lei Xu, Tiecheng Song
2024	B	`conf`	Protocol Sequences for Age of Information Under Multiple-Packet Reception. ISIT Yinian Zheng, Fang Liu, Yuan-Hsun Lo, Tsai-Lien Wong, Kangkang Xu, Yijin Zhang
2023	J	`jnl`	Age of Information for Periodic Status Updates Under Sequence Based Scheduling. IEEE Trans. Commun. Fang Liu, Wing Shing Wong, Yuan-Hsun Lo, Yijin Zhang, Chung Shue Chen, Guoliang Xing
2023	J	`jnl`	Dynamic Optimization of Random Access in Deadline-Constrained Broadcasting. IEEE Trans. Netw. Sci. Eng. Aoyu Gong, Yijin Zhang, Lei Deng, Fang Liu, Jun Li, Feng Shu
2023	J	`jnl`	Everyone-Centric Heterogeneous Multi-Server Computation Offloading in ITS with Pervasive AI. IEEE Netw. Xiaoqin Song, Bowen Xu, Xinting Zhang, Shumo Wang, Tiecheng Song, Guoliang Xing, Fang Liu
2022	—	`conf`	Joint Task Partition and Computation Offloading for Latency-Sensitive Services in Mobile Edge Networks. MSN Yujie Peng, Xiaoqin Song, Fang Liu, Guoliang Xing, Tiecheng Song
2021	J	`jnl`	Delay-Constrained Topology-Transparent Distributed Scheduling for MANETs. IEEE Trans. Veh. Technol. Lei Deng, Fang Liu, Yijin Zhang, Wing Shing Wong
2021	J	`jnl`	Dynamic Control for Random Access in Deadline-Constrained Broadcasting. CoRR Aoyu Gong, Lei Deng, Fang Liu, Yijin Zhang
2021	J	`jnl`	Schedule Sequence Design for Broadcast in Multi-Channel Ad Hoc Networks. IEEE Trans. Veh. Technol. Fang Liu, Kenneth W. Shum, Yijin Zhang, Wing Shing Wong
2021	J	`jnl`	Sequence-Based Schemes for Broadcast and Unicast under Frequency Division Duplex. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Fang Liu, Kenneth W. Shum, Yijin Zhang, Wing Shing Wong
2020	J	`jnl`	Delay-Constrained Topology-Transparent Distributed Scheduling for MANETs. CoRR Lei Deng, Fang Liu, Yijin Zhang, Wing Shing Wong
2020	J	`jnl`	Schedule Sequence Design for Broadcast in Multi-channel Ad Hoc Networks. CoRR Fang Liu, Kenneth W. Shum, Yijin Zhang, Wing Shing Wong
2020	J	`jnl`	Sequence-Based Unicast in Wireless Sensor Networks. IEEE Trans. Commun. Fang Liu, Kenneth W. Shum, Wing Shing Wong
2018	B	`conf`	A Distributed Unicast Scheme Based on Schedule Sequences in Ad Hoc Networks. ITW Fang Liu, Kenneth W. Shum, Wing Shing Wong
2016	—	`conf`	An asynchronous load balancing scheme for multi-server systems. UEMCON Fang Liu, Yi Chen, Wing Shing Wong

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.