Yanchen Dong

11 papers A* 4B 1C 2Journal 3Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Spike Stream Memory Transfer for Dynamic Scene Reconstruction. AAAI Yanchen Dong, Ruiqin Xiong, Rui Zhao, Xinfeng Zhang, Tiejun Huang
2025	J	`jnl`	Color Spike Camera Reconstruction via Long Short-Term Temporal Aggregation of Spike Signals. IEEE Trans. Image Process. Yanchen Dong, Ruiqin Xiong, Jing Zhao, Xiaopeng Fan, Xinfeng Zhang, Tiejun Huang
2025	J	`jnl`	Dynamic Scene Reconstruction for Color Spike Camera via Zero-Shot Learning. IEEE Trans. Computational Imaging Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan, Shuyuan Zhu, Jin Wang, Tie-Jun Huang
2025	A*	`conf`	Self-Supervised Learning for Color Spike Camera Reconstruction. CVPR Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan, Zhaofei Yu, Yonghong Tian, Tiejun Huang
2025	—	`conf`	Spike Camera Image Reconstruction Based on an Efficient Spiking Transformer. MMAsia Workshops Rui Zhao, Jiyuan Zhang, Yanchen Dong, Wenrui Li, Yajing Zheng
2024	A*	`conf`	Joint Demosaicing and Denoising for Spike Camera. AAAI Yanchen Dong, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang
2024	J	`jnl`	Learning a Deep Demosaicing Network for Spike Camera With Color Filter Array. IEEE Trans. Image Process. Yanchen Dong, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang
2024	A*	`conf`	Super-Resolution Reconstruction from Bayer-Pattern Spike Streams. CVPR Yanchen Dong, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang
2023	C	`conf`	Optimization-Inspired Deep Network for Image Restoration from Partial Random Samples. ISCAS Yanchen Dong, Rui Zhao, Ruiqin Xiong, Shuyuan Zhu, Xiaopeng Fan, Tiejun Huang
2022	B	`conf`	3D Residual Interpolation for Spike Camera Demosaicing. ICIP Yanchen Dong, Jing Zhao, Ruiqin Xiong, Tiejun Huang
2022	C	`conf`	High-Speed Scene Reconstruction from Low-Light Spike Streams. VCIP Yanchen Dong, Jing Zhao, Ruiqin Xiong, Tie-Jun Huang

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.