Zeyu Zhang - RankMe

25 papers A* 7A 2C 2Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing signed graph neural networks through curriculum-based training. Neural Networks Zeyu Zhang, Lu Li, Xingyu Ji, Kaiqi Zhao, Xiaofeng Zhu, Philip S. Yu, Jiawei Li, Maojun Wang
2025	J	`jnl`	CSGDN: contrastive signed graph diffusion network for predicting crop gene-phenotype associations. Briefings Bioinform. Yiru Pan, Xingyu Ji, Jiaqi You, Lu Li, Zhenping Liu, Xianlong Zhang, Zeyu Zhang, Maojun Wang
2025	A	`conf`	Deep Learning and Explainable AI: New Pathways to Genetic Insights. ECAI Chenyu Wang, Chaoying Zuo, Zihan Su, Yuhang Xing, Lu Li, Maojun Wang, Zeyu Zhang
2025	A*	`conf`	Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. SIGIR Wanli Li, Tieyun Qian, Yi Song, Zeyu Zhang, Jiawei Li, Zhuang Chen, Lixin Zou
2025	A*	`conf`	Robust Deep Signed Graph Clustering via Weak Balance Theory. WWW Peiyao Zhao, Xin Li, Zeyu Zhang, Mingzhong Wang, Xueying Zhu, Lejian Liao
2025	J	`jnl`	Robust Deep Signed Graph Clustering via Weak Balance Theory. CoRR Peiyao Zhao, Xin Li, Zeyu Zhang, Mingzhong Wang, Xueying Zhu, Lejian Liao
2024	A*	`conf`	DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks. NeurIPS Zeyu Zhang, Lu Li, Shuyan Wan, Sijie Wang, Zhiyi Wang, Zhiyuan Lu, Dong Hao, Wanli Li
2024	J	`jnl`	DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks. CoRR Zeyu Zhang, Lu Li, Shuyan Wan, Sijie Wang, Zhiyi Wang, Zhiyuan Lu, Dong Hao, Wanli Li
2024	A*	`conf`	Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy. AAAI Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, Jiamou Liu
2024	J	`jnl`	Multimodal prediction of student performance: A fusion of signed graph neural networks and large language models. Pattern Recognit. Lett. Sijie Wang, Lin Ni, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Jiamou Liu
2024	J	`jnl`	Signed Graph Representation Learning: A Survey. CoRR Zeyu Zhang, Peiyao Zhao, Xin Li, Jiamou Liu, Xinrui Zhang, Junjie Huang, Xiaofeng Zhu
2023	J	`jnl`	A Condition-Monitoring Method for Rolling Bearings Based on Dynamic Asynchronous Peak-Factor Ratios. Sensors Guanhua Zhu, Quansi Huang, Zeyu Zhang
2023	J	`jnl`	CSG: Curriculum Representation Learning for Signed Graph. CoRR Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Yifei Wang, Pengqian Han, Xianda Zheng, Qiqi Wang, Zijian Zhang
2023	A*	`conf`	Contrastive Learning for Signed Bipartite Graphs. SIGIR Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, Yifei Wang
2023	J	`jnl`	Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy. CoRR Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, Jiamou Liu
2023	A*	`conf`	RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. WWW Zeyu Zhang, Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Yupan Wang, Kaiqi Zhao, Zijian Zhang
2023	J	`jnl`	S-T CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction. CoRR Pengqian Han, Jiamou Liu, Jialing He, Zeyu Zhang, Song Yang, Yanni Tang, Partha S. Roop
2023	J	`jnl`	SGA: A Graph Augmentation Method for Signed Graph Neural Networks. CoRR Zeyu Zhang, Shuyan Wan, Sijie Wang, Xianda Zheng, Xinrui Zhang, Kaiqi Zhao, Jiamou Liu, Dong Hao
2023	A	`conf`	Towards Legal Judgment Summarization: A Structure-Enhanced Approach. ECAI Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Xianda Zheng, Zeyu Zhang, Zijian Huang
2023	A*	`conf`	USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network. AAAI Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu
2023	J	`jnl`	USER: Unsupervised Structural Entropy-based Robust Graph Neural Network. CoRR Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu
2018	J	`jnl`	A Survey on Fault Diagnosis in Wireless Sensor Networks. IEEE Access Zeyu Zhang, Amjad Mehmood, Lei Shu, Zhiqiang Huo, Yu Zhang, Mithun Mukherjee
2017	C	`conf`	A Short Review on Sleep Scheduling Mechanism in Wireless Sensor Networks. QSHINE Zeyu Zhang, Lei Shu, Chunsheng Zhu, Mithun Mukherjee
2017	C	`conf`	Energy-utilization aware sleep scheduling in green WSNs for sustainable throughput. IECON Wei Fang, Zeyu Zhang, Mithun Mukherjee, Lei Shu, Zhangbing Zhou
2016	—	`conf`	A Short Survey on Fault Diagnosis in Wireless Sensor Networks. WICON Zeyu Zhang, Lei Shu, Amjad Mehmood, Li Yan, Yu Zhang

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.