Gangyi Luo - RankMe

15 papers B 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Achieving High-Throughput and Reliable Cross-Cluster VPC Communication in Clouds. IEEE Trans. Netw. Long Li, Gongming Zhao, Chu Xu, Hongli Xu, Baoqing Wang, Gangyi Luo
2026	J	`jnl`	Resource-Aware Distributed Training Job Placement for GPU Cluster Defragmentation. IEEE Trans. Netw. Gongming Zhao, Yichen Dong, Hongli Xu, Jin Fang, Zhen Yao, Baoyi An, Gangyi Luo, Chu Xu
2025	J	`jnl`	ABUV: Adaptive bitrate and upsampling for video streaming on mobile devices. Comput. Networks Yichen Lu, Ji Qi, Sheng Zhang, Gangyi Luo, Andong Zhu, Jie Wu, Zhuzhong Qian
2025	J	`jnl`	CPN meets learning: Online scheduling for inference service in Computing Power Network. Comput. Networks Mingtao Ji, Ji Qi, Lei Jiao, Gangyi Luo, Hehan Zhao, Xin Li, Baoliu Ye, Zhuzhong Qian
2025	—	`conf`	Fossil: A Cost-Effective and Fault-Tolerant Task Placement Scheme for Geo-Distributed Clouds. ICA3PP (2) Chun Huang, Gongming Zhao, Baoqing Wang, Jiawei Liu, Hongli Xu, Gangyi Luo, Chu Xu
2025	—	`conf`	Joint Optimization of Computation and Communication Resources for GPU Allocation in Heterogeneous Clusters. NPC (1) Jiacheng Zhu, Chu Xu, Gongming Zhao, Hongli Xu, Gangyi Luo, Hao Zheng
2025	J	`jnl`	Machine-Centric High-Accuracy Multi-Video Analytics With Adaptive Neural Codecs. IEEE Trans. Netw. Andong Zhu, Ji Qi, Sheng Zhang, Gangyi Luo, Ke Cheng, Xiaohang Shi, Zhuzhong Qian, Baoliu Ye, Sanglu Lu
2025	J	`jnl`	Provisioning high precision edge inference with runtime model reconfiguration. Comput. Networks Hesheng Sun, Zhuzhong Qian, Andong Zhu, Sheng Zhang, Sanglu Lu, Chu Xu, Gangyi Luo
2025	—	`conf`	TAIR: Achieving Tenant Anomaly Isolation with Request Scheduling in Serverless Computing. NPC (1) Junhong Lu, Chu Xu, Gongming Zhao, Hongli Xu, Gangyi Luo, Hao Zheng
2025	J	`jnl`	Toward auction-based edge AI: Orchestrating and incentivizing online transfer learning in edge networks. Comput. Networks Yang Chen, Lei Jiao, Tuo Cao, Ji Qi, Gangyi Luo, Sheng Zhang, Sanglu Lu, Zhuzhong Qian
2024	—	`conf`	Low-Carbon Geographically Distributed Cloud-Edge Task Scheduling. ICA3PP (6) Yingjie Zhu, Ji Qi, Zehao Wang, Shengjie Wei, Yan Chen, Tuo Cao, Gangyi Luo, Zhuzhong Qian
2024	B	`conf`	Online Scheduling of Federated Learning with In-Network Aggregation and Flow Routing. SECON Mingtao Ji, Lei Jiao, Yitao Fan, Yang Chen, Zhuzhong Qian, Ji Qi, Gangyi Luo, Baoliu Ye
2018	J	`jnl`	Improving performance by network-aware virtual machine clustering and consolidation. J. Supercomput. Gangyi Luo, Zhuzhong Qian, Mianxiong Dong, Kaoru Ota, Sanglu Lu
2014	—	`conf`	Network-Aware Re-Scheduling: Towards Improving Network Performance of Virtual Machines in a Data Center. ICA3PP (1) Gangyi Luo, Zhuzhong Qian, Mianxiong Dong, Kaoru Ota, Sanglu Lu
2013	J	`jnl`	Energy Aware Task Scheduling in Data Centers. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. Weicheng Huai, Zhuzhong Qian, Xin Li, Gangyi Luo, Sanglu Lu

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.