Qiuyu Ding - RankMe

16 papers A* 3A 1B 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Alzo: Auto-Tuning with Reinforcement Learning for DAG-based Blockchains. WWW Qiuyu Ding, Rongkai Zhang, Qinnan Zhang, Zhen Xiao, Jieyi Long, Mingchao Wan, Sen Liu, Jin Dong
2026	J	`jnl`	Cross-lingual semantic information fusion for word translation enhancement. Inf. Fusion Qiuyu Ding, Hailong Cao, Zhiqiang Cao, Yongwei Zhou, Tiejun Zhao
2026	J	`jnl`	Nexus: A Novel Transaction Processing Framework for Permissioned Blockchain. IEEE Trans. Parallel Distributed Syst. Shengjie Guan, Rongkai Zhang, Qiuyu Ding, Mingxuan Song, Zhen Xiao, Jieyi Long, Mingchao Wan, Taifu Yuan, Jin Dong
2026	J	`jnl`	Reasoning Over Space: Enabling Geographic Reasoning for LLM-Based Generative Next POI Recommendation. CoRR Dongyi Lv, Qiuyu Ding, Heng-Da Xu, Zhaoxu Sun, Zhi Wang, Feng Xiong, Mu Xu
2026	J	`jnl`	Thinking with Comics: Enhancing Multimodal Reasoning through Structured Visual Storytelling. CoRR Andong Chen, Wenxin Zhu, Qiuyu Ding, Yuchen Song, Muyun Yang, Tiejun Zhao
2025	J	`jnl`	Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models. CoRR Qiuyu Ding, Zhiqiang Cao, Hailong Cao, Tiejun Zhao
2025	J	`jnl`	Dual-perspective fusion for word translation enhancement. Inf. Fusion Qiuyu Ding, Hailong Cao, Zhiqiang Cao, Tiejun Zhao
2025	J	`jnl`	Enhancing Large Language Models'Machine Translation via Dynamic Focus Anchoring. CoRR Qiuyu Ding, Zhiqiang Cao, Hailong Cao, Tiejun Zhao
2025	J	`jnl`	Enhancing bilingual lexicon induction via harnessing polysemous words. Neurocomputing Qiuyu Ding, Hailong Cao, Zihao Feng, Muyun Yang, Tiejun Zhao
2025	J	`jnl`	Enhancing word distinction for bilingual lexicon induction with generalized antonym knowledge. Knowl. Based Syst. Qiuyu Ding, Hailong Cao, Zihao Feng, Tiejun Zhao
2024	A*	`conf`	Enhancing Bilingual Lexicon Induction via Bi-directional Translation Pair Retrieving. AAAI Qiuyu Ding, Hailong Cao, Tiejun Zhao
2024	J	`jnl`	Enhancing isomorphism between word embedding spaces for distant languages bilingual lexicon induction. Neural Comput. Appl. Qiuyu Ding, Hailong Cao, Zihao Feng, Tiejun Zhao
2024	B	`conf`	Presto: Optimizing Cross-Shard Transactions in Sharded Blockchain Architecture. SRDS Qiuyu Ding, Rongkai Zhang, Shenglin Yin, Pengze Li, Shengjie Guan, Zhen Xiao, Jieyi Long
2024	A*	`conf`	SPRING: Improving the Throughput of Sharding Blockchain via Deep Reinforcement Learning Based State Placement. WWW Pengze Li, Mingxuan Song, Mingzhe Xing, Zhen Xiao, Qiuyu Ding, Shengjie Guan, Jieyi Long
2023	A	`conf`	A Data Flow Framework with High Throughput and Low Latency for Permissioned Blockchains. ICDCS Zhenxing Hu, Shengjie Guan, Wenbo Xu, Zhen Xiao, Jie Shi, Pengze Li, Qiuyu Ding, Hui Ding, Chao Zeng
2021	J	`jnl`	Construction and Application of the User Behavior Knowledge Graph in Software Platforms. J. Web Eng. Fuhua Shang, Qiuyu Ding, Ruishan Du, Maojun Cao, Huanyu Chen

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.