Zhaoxin Wang - RankMe

31 papers A* 1Journal 23Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cooperative regulation with global dynamic compensation control mechanism for random communication link failures among multiple time-varying nonlinear agents. Syst. Control. Lett. Zhaoxin Wang, Jianchang Liu
2026	J	`jnl`	DTVI: Dual-Stage Textual and Visual Intervention for Safe Text-to-Image Generation. CoRR Binhong Tan, Zhaoxin Wang, Handing Wang
2026	J	`jnl`	Distributed dynamic event-triggered mechanisms for time-varying distributed optimization. Syst. Control. Lett. Zhaoxin Wang, Huabin Chen
2026	J	`jnl`	Multilingual Safety Alignment Via Sparse Weight Editing. CoRR Jiaming Liang, Zhaoxin Wang, Handing Wang
2026	J	`jnl`	SafeNeuron: Neuron-Level Safety Alignment for Large Language Models. CoRR Zhaoxin Wang, Jiaming Liang, Fengbin Zhu, Weixiang Zhao, Junfeng Fang, Jiayi Ji, Handing Wang, Tat-Seng Chua
2025	J	`jnl`	Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction. CoRR Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2025	—	`conf`	FaRMamba: Frequency-Based Learning and Reconstruction Aided Mamba for Medical Segmentation. ICONIP (5) Ze Rong, Ziyue Zhao, Zhaoxin Wang, Lei Ma
2025	J	`jnl`	FaRMamba: Frequency-based learning and Reconstruction aided Mamba for Medical Segmentation. CoRR Ze Rong, Ziyue Zhao, Zhaoxin Wang, Lei Ma
2025	J	`jnl`	Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models. CoRR Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2025	J	`jnl`	Token-Level Constraint Boundary Search for Jailbreaking Text-to-Image Models. CoRR Jiangtao Liu, Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2024	J	`jnl`	Efficient adversarial training with multi-fidelity optimization for robust neural network. Neurocomputing Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2024	J	`jnl`	Multi-representation decoupled joint network for semantic segmentation of remote sensing images. Multim. Tools Appl. Xiaowei Lv, Rui Wang, Chengyu Zheng, Qicheng Yang, Zhaoxin Wang, Jie Nie
2024	—	`conf`	Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. ECCV (28) Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2024	J	`jnl`	Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. CoRR Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2024	J	`jnl`	Statistical texture involved multi-granularity attention network for remote sensing semantic segmentation. Multim. Tools Appl. Zhaoxin Wang, Chengyu Zheng, Chenglong Wang, Jingyu Wang, Shusong Yu, Jie Nie
2024	J	`jnl`	Weakly privileged learning with knowledge extraction. Pattern Recognit. Saiji Fu, Tianyi Dong, Zhaoxin Wang, Yingjie Tian
2023	J	`jnl`	A High-Performance UVA Photodetector Based on Polycrystalline Perovskite MAPbCl3/TiO2 Nanorods Heterojunctions. Sensors Yupeng Zhang, Yannan Zhai, Hui Zhang, Zhaoxin Wang, Yongfeng Zhang, Ruiliang Xu, Shengping Ruan, Jingran Zhou
2023	A*	`conf`	Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information. ACM Multimedia Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin
2023	J	`jnl`	CephGPT-4: An Interactive Multimodal Cephalometric Measurement and Diagnostic System with Visual Large Language Model. CoRR Lei Ma, Jincong Han, Zhaoxin Wang, Dian Zhang
2023	J	`jnl`	High-Order Semantic Decoupling Network for Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. Chengyu Zheng, Jie Nie, Zhaoxin Wang, Ning Song, Jingyu Wang, Zhiqiang Wei
2023	—	`conf`	Multimodal Fusion Method for Complex Terrain Detection of Unmanned Platform. BDMIP Zhaoxin Wang, Yanfang Liu, Xinjian Xu
2023	J	`jnl`	Semantic Category Balance-Aware Involved Anti-Interference Network for Remote Sensing Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. Jie Nie, Zhaoxin Wang, Xinyue Liang, Chenxue Yang, Chengyu Zheng, Zhiqiang Wei
2022	J	`jnl`	Stochastic Gauss-Newton algorithm with STORM estimators for nonconvex composite optimization. J. Appl. Math. Comput. Zhaoxin Wang, Bo Wen
2021	—	`conf`	A Fine-Grained River Ice Semantic Segmentation based on Attentive Features and Enhancing Feature Fusion. MMAsia Rui Wang, Chengyu Zheng, Yanru Jiang, Zhaoxin Wang, Min Ye, Chenglong Wang, Ning Song, Jie Nie
2021	—	`conf`	Multi-Scale Graph Convolutional Network and Dynamic Iterative Class Loss for Ship Segmentation in Remote Sensing Images. MMAsia Yanru Jiang, Chengyu Zheng, Zhaoxin Wang, Rui Wang, Min Ye, Chenglong Wang, Ning Song, Jie Nie
2021	J	`jnl`	Multi-modal broad learning for material recognition. Cogn. Comput. Syst. Zhaoxin Wang, Huaping Liu, Xinying Xu, Fuchun Sun
2021	—	`conf`	Research on Mixed-Precision Quantization and Fault-Tolerant of Deep Neural Networks. CSAE Zhaoxin Wang, Jing Wang, Kun Qian
2020	J	`jnl`	A High Reliability 3D Scanning Measurement of the Complex Shape Rail Surface of the Electromagnetic Launcher. Sensors Zhaoxin Wang, Baoming Li
2012	J	`jnl`	Wafer-level LED-SiP based mobile flash module and characterization. Microelectron. Reliab. Jyh-Rong Lin, Tuen Yi Ng, Zhaoxin Wang, Shan Mei Wan, Kin Wai Wong, Ming Lu, Enboa Wu
2007	J	`jnl`	A single-fiber bi-directional WDM self-healing ring network with bi-directional OADM for metro-access applications. IEEE J. Sel. Areas Commun. Xiaofeng Sun, Chun-Kit Chan, Zhaoxin Wang, Chinlon Lin, Lian-Kuan Chen
2006	—	`—`	Novel optical access network architectures and transmission system technologies for optical fiber communications. Zhaoxin Wang

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.