Zhenglin Wan - RankMe

17 papers A* 2A 1Misc 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentOCR: Reimagining Agent History via Optical Self-Compression. CoRR Lang Feng, Fuchao Yang, Feng Chen, Xin Cheng, Haiyang Xu, Zhenglin Wan, Ming Yan, Bo An
2026	J	`jnl`	CaveAgent: Transforming LLMs into Stateful Runtime Operators. CoRR Maohao Ran, Zhenglin Wan, Cooper Lin, Yanting Zhang, Hongyu Xin, Hongwei Fan, Yibo Xu, Beier Luo, Yaxin Zhou, Wangbo Zhao, Lijie Yang, Lang Feng, Fuchao Yang, Jingxuan Wu, Yiqiao Huang, Chendong Ma, Dailing Jiang, Jianbo Deng, Sihui Han, Bo An, Yike Guo, Jun Song
2026	J	`jnl`	Crisis-Bench: Benchmarking Strategic Ambiguity and Reputation Management in Large Language Models. CoRR Cooper Lin, Maohao Ran, Yanting Zhang, Zhenglin Wan, Hongwei Fan, Yibo Xu, Yike Guo, Wei Xue, Jun Song
2026	J	`jnl`	HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models. CoRR Xin Yan, Zhenglin Wan, Feiyang Ye, Xingrui Yu, Hangyu Du, Yang You, Ivor W. Tsang
2026	J	`jnl`	Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching. CoRR Anjun Gao, Zhenglin Wan, Pingfu Chao, Shunyu Yao
2026	J	`jnl`	Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection. CoRR Cooper Lin, Yanting Zhang, Maohao Ran, Wei Xue, Hongwei Fan, Yibo Xu, Zhenglin Wan, Sirui Han, Yike Guo, Jun Song
2026	J	`jnl`	SA-VLA: Spatially-Aware Flow-Matching for Vision-Language-Action Reinforcement Learning. CoRR Xu Pan, Zhenglin Wan, Xingrui Yu, Xianwei Zheng, Youkai Ke, Ming Sun, Rui Wang, Ziwei Wang, Ivor W. Tsang
2026	J	`jnl`	Time-Annealed Perturbation Sampling: Diverse Generation for Diffusion Language Models. CoRR Jingxuan Wu, Zhenglin Wan, Xingrui Yu, Yuzhe Yang, Yiqiao Huang, Ivor W. Tsang, Yang You
2025	A*	`conf`	Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity. ICML Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor W. Tsang
2025	J	`jnl`	FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning. CoRR Zhenglin Wan, Jingxuan Wu, Xingrui Yu, Chubin Zhang, Mingcong Lei, Bo An, Ivor W. Tsang
2025	J	`jnl`	GoRL: An Algorithm-Agnostic Framework for Online Reinforcement Learning with Generative Policies. CoRR Chubin Zhang, Zhenglin Wan, Feng Chen, Xingrui Yu, Ivor W. Tsang, Bo An
2025	A	`conf`	Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration. AAMAS Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang
2025	J	`jnl`	OSCAR: Orthogonal Stochastic Control for Alignment-Respecting Diversity in Flow Matching. CoRR Jingxuan Wu, Zhenglin Wan, Xingrui Yu, Yuzhe Yang, Bo An, Ivor W. Tsang
2025	A*	`conf`	POI Recommendation via Multi-Objective Adversarial Imitation Learning. AAAI Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao, Jun Song, Maohao Ran
2024	Misc	`conf`	Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching. ADC Anjun Gao, Zhenglin Wan, Pingfu Chao, Shunyu Yao
2024	J	`jnl`	Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration. CoRR Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang
2024	J	`jnl`	Quality Diversity Imitation Learning. CoRR Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor W. Tsang

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.