Yancong Deng

15 papers Misc 2Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	End-to-End ASR Model with Iterative Attention Mechanism Enhanced RNN Model for Phoneme Recognition. DeLTA Ke Fang, Yancong Deng
2024	—	`conf`	Enhanced Human Pose Estimation with Attention-Augmented HRNet. IPMV Junjie Zhang, Haojie Yang, Yancong Deng
2024	—	`conf`	Exploring the Influence of Image Features and Contextual Factors on Purchase Decisions: An Empirical Analysis in E-Commerce. ICEME Shifan Gu, Yancong Deng
2024	—	`conf`	Stock Market Prediction Based on Time Series Data and Multimodal Sentiments. BigDataService Jikang Zhao, Yancong Deng
2023	—	`conf`	Demand Analytics in E-Commerce Leveraging Computer Vision Algorithms. CNIOT Jing Wang, Anning Li, Jiaxin Zhang, Yancong Deng
2023	—	`conf`	Design Stock Market Trading Strategy with Deep Learning: A Bi-LSTM Based Approach. CNIOT Yanjun Long, Xiaopeng Wang, Shiman Zhang, Sicun Han, Yancong Deng
2023	—	`conf`	Enhanced E-Commerce Sales Analysis with Deep learning Approach. ICEME Yancong Deng, Zilei Qin, Serena Zhao
2023	—	`conf`	Enhancing Few-Shot 3D Point Cloud Semantic Segmentation through Bidirectional Prototype Learning. ICRAI Xuehang Guo, Hao Hu, Xiaoxi Yang, Yancong Deng
2023	—	`conf`	Self-Attention Driven Image-to-image Translation with Conditional Adversarial Networks. CSAI Yu Jiang, Yancong Deng
2022	Misc	`conf`	Conditional Generative Adversarial Networks for Hyperspectral Image Classification. ICMLC Nianze Wu, Bozhi Hao, Jiahao Ma, Tianhong Gao, Yancong Deng
2022	Misc	`conf`	Faster R-CNN with Generative Adversarial Occlusion Network for Object Detection. ICMLC Fenglie Li, Jiehui Li, Yancong Deng
2022	—	`conf`	Segmentation Comparison with FCN Based approach and YOLO Based approach. ICVIP Tianren Zhang, Yancong Deng
2021	—	`conf`	Development of Personalized IoT Mobile Applications Using MIT APP Inventor 2. CSSE Guangping Qiu, Zhihao Zheng, YongChuang Xu, Yancong Deng
2020	—	`conf`	Lane Extraction and Quality Evaluation: A Hough Transform Based Approach. MIPR Xingyao Wang, Da Yan, Ke Chen, Yancong Deng, Cheng Long, Kunlin Zhang, Sibo Yan
2018	—	`conf`	Multi-Digit Recognition with Convolutional Neural Network and Long Short-Term Memory. ICNC-FSKD Xianghui Liu, Yancong Deng, Yingkai Sun, Yuting Zhou

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.