Zeang Sheng - RankMe

23 papers A* 8Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	One-Eval: An Agentic System for Automated and Traceable LLM Evaluation. CoRR Chengyu Shen, Yanheng Hou, Minghui Pan, Runming He, Zhen Hao Wong, Meiyi Qiang, Zhou Liu, Hao Liang, Peichao Lai, Zeang Sheng, Wentao Zhang
2025	J	`jnl`	Acceleration Algorithms in GNNs: A Survey. IEEE Trans. Knowl. Data Eng. Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Xiaonan Nie, Jiawei Jiang, Wentao Zhang, Bin Cui
2025	A*	`conf`	Can LLMs be Good Graph Judge for Knowledge Graph Construction? EMNLP Haoyu Huang, Chong Chen, Zeang Sheng, Yang Li, Wentao Zhang
2025	J	`jnl`	Generative Giants, Retrieval Weaklings: Why do Multimodal Large Language Models Fail at Multimodal Retrieval? CoRR Hengyi Feng, Zeang Sheng, Meiyi Qiang, Wentao Zhang
2025	—	`conf`	LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification. KDD (2) Zeang Sheng, Weiyang Guo, Yingxia Shao, Wentao Zhang, Bin Cui
2025	A*	`conf`	Towards Scalable and Deep Graph Neural Networks via Noise Masking. AAAI Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui
2024	J	`jnl`	Acceleration Algorithms in GNNs: A Survey. CoRR Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui
2024	A*	`conf`	HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. ICDE Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui
2024	J	`jnl`	OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine. Proc. VLDB Endow. Zeang Sheng, Wentao Zhang, Yangyu Tao, Bin Cui
2024	J	`jnl`	Towards Scalable and Deep Graph Neural Networks via Noise Masking. CoRR Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui
2023	—	`conf`	Graph-Enforced Neural Network for Attributed Graph Clustering. APWeb-WAIM (1) Zeang Sheng, Wentao Zhang, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
2022	A*	`conf`	Graph Attention Multi-Layer Perceptron. KDD Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui
2022	J	`jnl`	Graph Attention Multi-Layer Perceptron. CoRR Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui
2022	A*	`conf`	Model Degradation Hinders Deep Graph Neural Networks. KDD Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui
2022	J	`jnl`	Model Degradation Hinders Deep Graph Neural Networks. CoRR Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui
2022	A*	`conf`	NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. ICML Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui
2022	J	`jnl`	NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. CoRR Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui
2021	J	`jnl`	Evaluating Deep Graph Neural Networks. CoRR Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui
2021	J	`jnl`	Graph Attention Multi-Layer Perceptron. CoRR Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui
2021	A*	`conf`	Node Dependent Local Smoothing for Scalable Graph Learning. NeurIPS Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
2021	J	`jnl`	Node Dependent Local Smoothing for Scalable Graph Learning. CoRR Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
2021	A*	`conf`	ROD: Reception-aware Online Distillation for Sparse Graphs. KDD Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui
2021	J	`jnl`	ROD: Reception-aware Online Distillation for Sparse Graphs. CoRR Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui

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.