Yanru Sun - RankMe

19 papers A* 4Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning. CoRR Wenzhe Niu, Wei He, Zongxia Xie, Jinpeng Ou, Huichuan Fan, Yuchen Ge, Yanru Sun, Ziyin Wang, Yizhao Sun, Chengshun Shi, Jiuchong Gao, Jinghua Hao, Renqing He
2026	J	`jnl`	Lightweight channel-wise dynamic fusion model: Non-stationary time series forecasting via entropy analysis. Inf. Fusion Tianyu Jia, Zongxia Xie, Yanru Sun, Dilfira Kudrat, Qinghua Hu
2026	A*	`conf`	SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting. AAAI Feng Xiong, Zongxia Xie, Yanru Sun, Haoyu Wang, Jianhong Lin
2025	J	`jnl`	Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment. CoRR Yanru Sun, Emadeldeen Eldele, Zongxia Xie, Yucheng Wang, Wenzhe Niu, Qinghua Hu, Chee Keong Kwoh, Min Wu
2025	A*	`conf`	Hierarchical Classification Auxiliary Network for Time Series Forecasting. AAAI Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu
2025	A*	`conf`	LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization. ICML Wenzhe Niu, Zongxia Xie, Yanru Sun, Wei He, Man Xu, Chao Hao
2025	J	`jnl`	LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization. CoRR Wenzhe Niu, Zongxia Xie, Yanru Sun, Wei He, Man Xu, Chao Hao
2025	J	`jnl`	Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis. CoRR Tianyu Jia, Zongxia Xie, Yanru Sun, Dilfira Kudrat, Qinghua Hu
2025	J	`jnl`	PPGF: Probability Pattern-Guided Time Series Forecasting. CoRR Yanru Sun, Zongxia Xie, Haoyu Xing, Hualong Yu, Qinghua Hu
2025	J	`jnl`	PPGF: Probability Pattern-Guided Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. Yanru Sun, Zongxia Xie, Haoyu Xing, Hualong Yu, Qinghua Hu
2025	A*	`conf`	Patch-wise Structural Loss for Time Series Forecasting. ICML Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu
2025	J	`jnl`	Patch-wise Structural Loss for Time Series Forecasting. CoRR Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu
2025	J	`jnl`	RecMamba: Reconstruction-augmented dual-path Mamba for time series forecasting. Knowl. Based Syst. Yuxuan Zhao, Zongxia Xie, Zheng Wang, Yanru Sun, Haoyu Xing, Tianyu Jia, Dilfira Kudrat
2025	J	`jnl`	SEED: Spectral Entropy-Guided Evaluation of SpatialTemporal Dependencies for Multivariate Time Series Forecasting. CoRR Feng Xiong, Zongxia Xie, Yanru Sun, Haoyu Wang, Jianhong Lin
2024	J	`jnl`	A dynamic surge pricing model throughout product lifecycle. Math. Comput. Simul. Yanru Sun, Hao Sun, Panfei Sun, Xuanzhu Jin
2024	J	`jnl`	Bilateral negotiation facilitates stable coexistence of cooperation with defection in Prisoner's Dilemma game. Appl. Math. Comput. Yimei Yang, Hao Sun, Guangjing Yang, Yanru Sun
2024	J	`jnl`	Hierarchical Classification Auxiliary Network for Time Series Forecasting. CoRR Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu
2024	J	`jnl`	Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift. CoRR Yanru Sun, Zongxia Xie, Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu
2023	—	`conf`	Spatio-Temporal Attention Model with Prior Knowledge for Solar Wind Speed Prediction. ICANN (9) Puguang Cai, Liu Yang, Yanru Sun

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.