Yanjun Zheng - RankMe

16 papers Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Agentar-DeepFinance-100K: A Large-Scale Financial Dataset via Systematic Chain-of-Thought Synthesis Optimization. CoRR Xiaoke Zhao, Zhaowen Zhou, Lin Chen, Lihong Wang, Zhiyi Huang, Kaiyuan Zheng, Yanjun Zheng, Xiyang Du, Longfei Liao, Jiawei Liu, Xiang Qi, Bo Zhang, Peng Zhang, Wei Wang, Zhe Li
2025	J	`jnl`	Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning. CoRR Yanjun Zheng, Xiyang Du, Longfei Liao, Xiaoke Zhao, Zhaowen Zhou, Jingze Song, Bo Zhang, Jiawei Liu, Xiang Qi, Zhe Li, Zhiqiang Zhang, Wei Wang, Peng Zhang
2025	J	`jnl`	Hierarchical cascaded networks with multi-task balanced loss for fine-grained hashing. Eng. Appl. Artif. Intell. Shun Liu, Yanjun Zheng, Xianxian Zeng, Jun Yuan, Jia Wen Li, Rongjun Chen
2023	J	`jnl`	Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashing. CoRR Xianxian Zeng, Yanjun Zheng
2023	—	`conf`	Investigating Glyph-Phonetic Information for Chinese Spell Checking: What Works and What's Next? ACL (Findings) Xiaotian Zhang, Yanjun Zheng, Hang Yan, Xipeng Qiu
2023	—	`conf`	Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System. ACL (Findings) Shimin Li, Xiaotian Zhang, Yanjun Zheng, Linyang Li, Xipeng Qiu
2023	J	`jnl`	Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System. CoRR Shimin Li, Xiaotian Zhang, Yanjun Zheng, Linyang Li, Xipeng Qiu
2022	J	`jnl`	Context-aware pyramid attention network for crowd counting. Appl. Intell. Lingyu Gu, Chen Pang, Yanjun Zheng, Chen Lyu, Lei Lyu
2022	J	`jnl`	Investigating Glyph Phonetic Information for Chinese Spell Checking: What Works and What's Next. CoRR Xiaotian Zhang, Yanjun Zheng, Hang Yan, Xipeng Qiu
2022	J	`jnl`	Multi-scale Attention Recalibration Network for crowd counting. Appl. Soft Comput. Jinyang Xie, Chen Pang, Yanjun Zheng, Liang Li, Chen Lyu, Lei Lyu, Hong Liu
2022	J	`jnl`	Research on sports training model based on intelligent data aggregation processing in internet of things. Clust. Comput. Juan Dan, Yanjun Zheng, Jianping Hu
2022	J	`jnl`	Research on the inheritance and protection of data mining technology in national sports. Concurr. Comput. Pract. Exp. Dongmei Li, Feng Xiao, Yanjun Zheng
2021	J	`jnl`	The Novel Regulatory Role of lncRNA-miRNA-mRNA Axis in Amyotrophic Lateral Sclerosis: An Integrated Bioinformatics Analysis. Comput. Math. Methods Medicine Dingsheng Liu, Xiaojia Zuo, Peng Zhang, Rui Zhao, Donglin Lai, Kaijie Chen, Yuru Han, Guoqing Wan, Yanjun Zheng, Changlian Lu, Xuefeng Gu
2020	J	`jnl`	Construction and Comprehensive Analysis of Dysregulated Long Noncoding RNA-Associated Competing Endogenous RNA Network in Moyamoya Disease. Comput. Math. Methods Medicine Xuefeng Gu, Dongyang Jiang, Yue Yang, Peng Zhang, Guoqing Wan, Wangxian Gu, Junfeng Shi, Liying Jiang, Bing Chen, Yanjun Zheng, Dingsheng Liu, Sufen Guo, Changlian Lu
2018	J	`jnl`	Mathematical model analysis of an intelligent control system for open architecture robots. J. Intell. Fuzzy Syst. Chunbin Qin, Yanjun Zheng, M. A. Basu
2011	J	`jnl`	Anisotropic error bounds of Lagrange interpolation with any order in two and three dimensions. Appl. Math. Comput. Shaochun Chen, Yanjun Zheng, Shipeng Mao

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.