Yan-Ning Zhang

18 papers A 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Coordinated B diffusion Gaussian distribution AlGaN/GaN HEMT device by quasi-van der Waals epitaxy. Sci. China Inf. Sci. Yan-Ning Zhang, Haidi Wu, Haoran Zhang, Shiyu Li, Xinchen Ji, Zhichun Yang, Xinbo Zhang, Ling Bai, Juncheng Zheng, Dong Wang, Yue Hao, Jing Ning, Jincheng Zhang
2026	J	`jnl`	Pa-Stream: pattern-aware scheduling for distributed stream computing systems. Clust. Comput. Dawei Sun, Yinuo Fan, Yan-Ning Zhang, Shang Gao, Jianguo Yu, Rajkumar Buyya
2026	J	`jnl`	Push the limit of scene text recognition using character and text length guided text super-resolution. Pattern Recognit. Jiangtao Nie, Boxiong Wu, Wenyu Peng, Wei Wei, Lei Zhang, Chen Ding, Yan-Ning Zhang
2025	J	`jnl`	Autoregressive Denoising Score Matching is a Good Video Anomaly Detector. CoRR Hanwen Zhang, Congqi Cao, Qinyi Lv, Lingtong Min, Yan-Ning Zhang
2025	J	`jnl`	Boosting HDR Image Reconstruction via Semantic Knowledge Transfer. CoRR Qingsen Yan, Tao Hu, Genggeng Chen, Wei Dong, Yan-Ning Zhang
2025	J	`jnl`	Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector. CoRR Qirui Wu, Shizhou Zhang, De Cheng, Yinghui Xing, Di Xu, Peng Wang, Yan-Ning Zhang
2025	J	`jnl`	Generalized pixel-aware deep function-mixture network for effective spectral super-resolution. Knowl. Based Syst. Jiangtao Nie, Lei Zhang, Chongxing Song, Zhiqiang Lang, Weixin Ren, Wei Wei, Chen Ding, Yan-Ning Zhang
2025	J	`jnl`	International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Shalaleh Rismani, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Tiancheng Hu, Cameron Jones, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Malcolm Murray, Charlotte Stix, Lucia Velasco, Nicole Wheeler, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nicholas R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yan-Ning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Christian Busch, André C. P. L. F. de Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa Rivera, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	Learning to Generalize without Bias for Open-Vocabulary Action Recognition. CoRR Yating Yu, Congqi Cao, Yifan Zhang, Yan-Ning Zhang
2025	J	`jnl`	One-shot In-context Part Segmentation. CoRR Zhenqi Dai, Ting Liu, Xingxing Zhang, Yunchao Wei, Yan-Ning Zhang
2025	J	`jnl`	Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers. CoRR Ji Ma, Wei Suo, Peng Wang, Yan-Ning Zhang
2025	J	`jnl`	UniBrain: Universal Brain MRI diagnosis with hierarchical knowledge-enhanced pre-training. Comput. Medical Imaging Graph. Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang, Jiangchao Yao, Weidi Xie, Yan-Ning Zhang, Yuehua Li, Ya Zhang, Yanfeng Wang
2018	J	`jnl`	BMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion. BMC Bioinform. Jianyu Shi, Hua Huang, Yan-Ning Zhang, Jiang-Bo Cao, Siu-Ming Yiu
2018	J	`jnl`	TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs. BMC Bioinform. Jian-Yu Shi, Hua Huang, Jia-Xin Li, Peng Lei, Yan-Ning Zhang, Kai Dong, Siu-Ming Yiu
2017	—	`conf`	Predicting Comprehensive Drug-Drug Interactions for New Drugs via Triple Matrix Factorization. IWBBIO (1) Jianyu Shi, Hua Huang, Jia-Xin Li, Peng Lei, Yan-Ning Zhang, Siu-Ming Yiu
2009	—	`conf`	Fast SCOP Classification of Structural Class and Fold Using Secondary Structure Mining in Distance Matrix. PRIB Jianyu Shi, Yan-Ning Zhang
2008	A	`conf`	Prosody boundary detection through context-dependent position models. INTERSPEECH Yue-Ning Hu, Min Chu, Chao Huang, Yan-Ning Zhang
2007	A	`conf`	Exploring tonal variations via context-dependent tone models. INTERSPEECH Yue-Ning Hu, Min Chu, Chao Huang, Yan-Ning 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.