Zhenghong Zhou

13 papers A* 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tri-Prompting: Video Diffusion with Unified Control over Scene, Subject, and Motion. CoRR Zhenghong Zhou, Xiaohang Zhan, Zhiqin Chen, Soo Ye Kim, Nanxuan Zhao, Haitian Zheng, Qing Liu, He Zhang, Zhe Lin, Yuqian Zhou, Jiebo Luo
2025	J	`jnl`	GRATCR: Epitope-Specific T Cell Receptor Sequence Generation With Data-Efficient Pre-Trained Models. IEEE J. Biomed. Health Informatics Zhenghong Zhou, Junwei Chen, Shenggeng Lin, Liang Hong, Dong-Qing Wei, Yi Xiong
2025	J	`jnl`	GeneBreaker: Jailbreak Attacks against DNA Language Models with Pathogenicity Guidance. CoRR Zaixi Zhang, Zhenghong Zhou, Ruofan Jin, Le Cong, Mengdi Wang
2025	J	`jnl`	SafeProtein: Red-Teaming Framework and Benchmark for Protein Foundation Models. CoRR Jigang Fan, Zhenghong Zhou, Ruofan Jin, Le Cong, Mengdi Wang, Zaixi Zhang
2025	J	`jnl`	TOGS: Gaussian Splatting With Temporal Opacity Offset for Real-Time 4D DSA Rendering. IEEE J. Biomed. Health Informatics Shuai Zhang, Huangxuan Zhao, Zhenghong Zhou, Guanjun Wu, Chuansheng Zheng, Xinggang Wang, Wenyu Liu
2024	J	`jnl`	3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning. CoRR Zhentao Liu, Huangxuan Zhao, Wenhui Qin, Zhenghong Zhou, Xinggang Wang, Wenping Wang, Xiaochun Lai, Chuansheng Zheng, Dinggang Shen, Zhiming Cui
2024	J	`jnl`	Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training. CoRR Zhenghong Zhou, Jie An, Jiebo Luo
2024	J	`jnl`	TOGS: Gaussian Splatting with Temporal Opacity Offset for Real-Time 4D DSA Rendering. CoRR Shuai Zhang, Huangxuan Zhao, Zhenghong Zhou, Guanjun Wu, Chuansheng Zheng, Xinggang Wang, Wenyu Liu
2023	J	`jnl`	TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction. CoRR Zhenghong Zhou, Huangxuan Zhao, Jiemin Fang, Dongqiao Xiang, Lei Chen, Lingxia Wu, Feihong Wu, Wenyu Liu, Chuansheng Zheng, Xinggang Wang
2023	A*	`conf`	TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. ICCV Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi Stephen Chen, Xinggang Wang, Hongyang Chao, Han Hu
2023	J	`jnl`	TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. CoRR Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi Chen, Xinggang Wang, Hongyang Chao, Han Hu
2019	J	`jnl`	Application of Entropy Spectral Method for Streamflow Forecasting in Northwest China. Entropy Gengxi Zhang, Zhenghong Zhou, Xiaoling Su, Olusola O. Ayantobo
2017	J	`jnl`	Comparison of Two Entropy Spectral Analysis Methods for Streamflow Forecasting in Northwest China. Entropy Zhenghong Zhou, Juanli Ju, Xiaoling Su, Vijay P. Singh, Gengxi 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.