Yangshen Deng - RankMe

13 papers C 2Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AlayaLaser: Efficient Index Layout and Search Strategy for Large-scale High-dimensional Vector Similarity Search. CoRR Weijian Chen, Haotian Liu, Yangshen Deng, Long Xiang, Liang Huang, Gezi Li, Bo Tang
2026	J	`jnl`	ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning. CoRR Jie Xiao, Meng Chen, Qingnan Ren, Jingwei Song, Jiaqi Huang, Yangshen Deng, Chris Tong, Wanyi Chen, Suli Wang, Ziqian Bi, Shuo Lu, Yiqun Duan, Xu Wang, Rymon Yu, Ween Yang, Lynn Ai, Eric Yang, Bill Shi
2025	—	`conf`	AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference. SIGMOD Conference Companion Yangshen Deng, Zhengxin You, Long Xiang, Qilong Li, Peiqi Yuan, Zhaoyang Hong, Yitao Zheng, Wanting Li, Runzhong Li, Haotian Liu, Kyriakos Mouratidis, Man Lung Yiu, Huan Li, Qiaomu Shen, Rui Mao, Bo Tang
2025	J	`jnl`	AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference. CoRR Yangshen Deng, Zhengxin You, Long Xiang, Qilong Li, Peiqi Yuan, Zhaoyang Hong, Yitao Zheng, Wanting Li, Runzhong Li, Haotian Liu, Kyriakos Mouratidis, Man Lung Yiu, Huan Li, Qiaomu Shen, Rui Mao, Bo Tang
2025	J	`jnl`	NeuroTTT: Bridging Pretraining-Downstream Task Misalignment in EEG Foundation Models via Test-Time Training. CoRR Suli Wang, Yangshen Deng, Zhenghua Bao, Xinyu Zhan, Yiqun Duan
2025	C	`conf`	ParaGraph: Accelerating Graph Indexing through GPU-CPU Parallel Processing for Efficient Cross-modal ANNS. DaMoN Yuxiang Yang, Shiwen Chen, Yangshen Deng, Bo Tang
2025	—	`conf`	Reproducibility Report for ACM SIGMOD 2025 Paper: 'Live Patching for Distributed In-Memory Key-Value Stores'. SIGMOD ARI Reports Yangshen Deng, Michael Fruth, Stefanie Scherzinger
2024	J	`jnl`	Accelerating Merkle Patricia Trie with GPU. Proc. VLDB Endow. Yangshen Deng, Muxi Yan, Bo Tang
2024	—	`conf`	Free Your Hash Join From Slow Synchronizations: A Fast Hash Join Implementation on GPU. ACM TUR-C Jun Yuan, Chenjie Gong, Yangshen Deng, Shiwen Chen, Bo Tang
2024	C	`conf`	How Does Software Prefetching Work on GPU Query Processing? DaMoN Yangshen Deng, Shiwen Chen, Zhaoyang Hong, Bo Tang
2024	—	`conf`	Reproducibility Report for ACM SIGMOD 2024 Paper: 'PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation'. SIGMOD/PODS Yangshen Deng, Ted Shaowang, Tapan Srivastava
2022	—	`conf`	GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive. SIGMOD Conference Haotian Liu, Bo Tang, Jiashu Zhang, Yangshen Deng, Xinying Zheng, Qiaomu Shen, Xiao Yan, Dan Zeng, Zunyao Mao, Chaozu Zhang, Zhengxin You, Zhihao Wang, Runzhe Jiang, Fang Wang, Man Lung Yiu, Huan Li, Mingji Han, Qian Li, Zhenghai Luo
2022	—	`conf`	GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing. SoCC Haotian Liu, Bo Tang, Jiashu Zhang, Yangshen Deng, Xiao Yan, Xinying Zheng, Qiaomu Shen, Dan Zeng, Zunyao Mao, Chaozu Zhang, Zhengxin You, Zhihao Wang, Runzhe Jiang, Fang Wang, Man Lung Yiu, Huan Li, Mingji Han, Qian Li, Zhenghai Luo

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.