Gaoxiong Zeng - RankMe

20 papers A* 4B 4Misc 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	High-Performance RoCE-Capable Multicast for Commodity RDMA Datacenters. IEEE Trans. Netw. Wenxue Li, Junyi Zhang, Yufei Liu, Gaoxiong Zeng, Zilong Wang, Chaoliang Zeng, Pengpeng Zhou, Qiaoling Wang, Kai Chen
2025	A*	`conf`	Revisiting RDMA Reliability for Lossy Fabrics. SIGCOMM Wenxue Li, Xiangzhou Liu, Yunxuan Zhang, Zihao Wang, Wei Gu, Tao Qian, Gaoxiong Zeng, Shoushou Ren, Xinyang Huang, Zhenghang Ren, Bowen Liu, Junxue Zhang, Kai Chen, Bingyang Liu
2025	B	`conf`	Sub-RTT Congestion Control for Inter-Datacenter Networks. ICNP Jun Wang, Yuchao Zhang, Gaoxiong Zeng, Chenyue Zheng, Wendong Wang, Haipeng Yao
2024	A*	`conf`	Cepheus: Accelerating Datacenter Applications with High-Performance RoCE-Capable Multicast. HPCA Wenxue Li, Junyi Zhang, Yufei Liu, Gaoxiong Zeng, Zilong Wang, Chaoliang Zeng, Pengpeng Zhou, Qiaoling Wang, Kai Chen
2024	J	`jnl`	FLAIR: A Fast and Low-Redundancy Failure Recovery Framework for Inter Data Center Network. IEEE Trans. Cloud Comput. Yuchao Zhang, Haoqiang Huang, Ahmed M. Abdelmoniem, Gaoxiong Zeng, Chenyue Zheng, Xirong Que, Wendong Wang, Ke Xu
2024	B	`conf`	PAS: Towards Accurate and Efficient Federated Learning with Parameter-Adaptive Synchronization. IWQoS Zuo Gan, Chen Chen, Jiayi Zhang, Gaoxiong Zeng, Yifei Zhu, Jieru Zhao, Quan Chen, Minyi Guo
2024	Misc	`conf`	Towards Domain-Specific Network Transport for Distributed DNN Training. NSDI Hao Wang, Han Tian, Jingrong Chen, Xinchen Wan, Jiacheng Xia, Gaoxiong Zeng, Wei Bai, Junchen Jiang, Yong Wang, Kai Chen
2023	J	`jnl`	Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks. CoRR Wenxue Li, Junyi Zhang, Gaoxiong Zeng, Yufei Liu, Zilong Wang, Chaoliang Zeng, Pengpeng Zhou, Qiaoling Wang, Kai Chen
2022	J	`jnl`	Aeolus: A Building Block for Proactive Transport in Datacenter Networks. IEEE/ACM Trans. Netw. Shuihai Hu, Gaoxiong Zeng, Wei Bai, Zilong Wang, Baochen Qiao, Kai Chen, Kun Tan, Yi Wang
2022	J	`jnl`	Congestion Control Mechanisms for Inter-Datacenter Networks. CoRR Gaoxiong Zeng
2022	J	`jnl`	Congestion Control for Cross-Datacenter Networks. IEEE/ACM Trans. Netw. Gaoxiong Zeng, Wei Bai, Ge Chen, Kai Chen, Dongsu Han, Yibo Zhu, Lei Cui
2022	A*	`conf`	Cutting Tail Latency in Commodity Datacenters with Cloudburst. INFOCOM Gaoxiong Zeng, Li Chen, Bairen Yi, Kai Chen
2021	B	`conf`	FlashPass: Proactive Congestion Control for Shallow-buffered WAN. ICNP Gaoxiong Zeng, Jianxin Qiu, Yifei Yuan, Hongqiang Liu, Kai Chen
2021	J	`jnl`	Optimizing Tail Latency in Commodity Datacenters using Forward Error Correction. CoRR Gaoxiong Zeng, Li Chen, Bairen Yi, Kai Chen
2021	J	`jnl`	P4COM: In-Network Computation with Programmable Switches. CoRR Ge Chen, Gaoxiong Zeng, Li Chen
2020	A*	`conf`	Aeolus: A Building Block for Proactive Transport in Datacenters. SIGCOMM Shuihai Hu, Wei Bai, Gaoxiong Zeng, Zilong Wang, Baochen Qiao, Kai Chen, Kun Tan, Yi Wang
2020	J	`jnl`	Domain-specific Communication Optimization for Distributed DNN Training. CoRR Hao Wang, Jingrong Chen, Xinchen Wan, Han Tian, Jiacheng Xia, Gaoxiong Zeng, Weiyan Wang, Kai Chen, Wei Bai, Junchen Jiang
2019	B	`conf`	Congestion Control for Cross-Datacenter Networks. ICNP Gaoxiong Zeng, Wei Bai, Ge Chen, Kai Chen, Dongsu Han, Yibo Zhu, Lei Cui
2019	—	`conf`	Rethinking Transport Layer Design for Distributed Machine Learning. APNet Jiacheng Xia, Gaoxiong Zeng, Junxue Zhang, Weiyan Wang, Wei Bai, Junchen Jiang, Kai Chen
2017	—	`conf`	Combining ECN and RTT for Datacenter Transport. APNet Gaoxiong Zeng, Wei Bai, Ge Chen, Kai Chen, Dongsu Han, Yibo Zhu

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.