Qingcheng Zhu - RankMe

14 papers A* 1Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond. AAAI Jiaxin Deng, Qingcheng Zhu, Junbiao Pang, Linlin Yang, Zhongqian Fu, Baochang Zhang
2025	J	`jnl`	EFlat-LoRA: Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond. CoRR Jiaxin Deng, Qingcheng Zhu, Junbiao Pang, Linlin Yang, Zhongqian Fu, Baochang Zhang
2025	J	`jnl`	Matrix-Game: Interactive World Foundation Model. CoRR Yifan Zhang, Chunli Peng, Boyang Wang, Puyi Wang, Qingcheng Zhu, Fei Kang, Biao Jiang, Zedong Gao, Eric Li, Yang Liu, Yahui Zhou
2025	J	`jnl`	Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method. CoRR Qingcheng Zhu, Yangyang Ren, Linlin Yang, Mingbao Lin, Yanjing Li, Sheng Xu, Zichao Feng, Haodong Zhu, Yuguang Yang, Juan Zhang, Runqi Wang, Baochang Zhang
2025	J	`jnl`	WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection. CoRR Haodong Zhu, Wenhao Dong, Linlin Yang, Hong Li, Yuguang Yang, Yangyang Ren, Qingcheng Zhu, Zichao Feng, Changbai Li, Shaohui Lin, Runqi Wang, Xiaoyan Luo, Baochang Zhang
2024	—	`conf`	From Unilateral Adaptive to Bilateral Synergistic Routing and Wavelength Assignment: Enabling End-to-End Quantum Key Distribution over Classical Optical Networks. ICC Yuhang Liu, Xiaosong Yu, Yongli Zhao, Qingcheng Zhu, Avishek Nag, Jie Zhang
2024	J	`jnl`	QKD Key Provisioning With Multi-Level Pool Slicing for End-to-End Security Services in Optical Networks. IEEE Trans. Netw. Sci. Eng. Qingcheng Zhu, Xiaosong Yu, Yongli Zhao, Avishek Nag, Jie Zhang
2023	—	`conf`	Quantum Cloud with Communication, Computing, Caching, and Cipher (4C) Resource Coordination. ONDM Qingcheng Zhu, Yongli Zhao, Xiaosong Yu, Jie Zhang
2023	J	`jnl`	Resource Allocation in Quantum-Key-Distribution- Secured Datacenter Networks With Cloud-Edge Collaboration. IEEE Internet Things J. Qingcheng Zhu, Xiaosong Yu, Yongli Zhao, Avishek Nag, Jie Zhang
2022	—	`conf`	Auxiliary Graph based QKD Key Provisioning for End-to-End Security Service in Optical Networks. OFC Qingcheng Zhu, Xiaosong Yu, Yongli Zhao, Avishek Nag, Hua Wang, Liquan Chen, Jie Zhang
2022	—	`conf`	Collaborative Resilience in Hybrid Quantum-Classical Networks. ICAIT Qingcheng Zhu, Yongli Zhao, Xiaosong Yu, Jie Zhang
2022	—	`conf`	Security-Aware Traffic Grooming in QKD-Embedded Optical Networks with Wavelength-Level Encryption. OECC/PSC Qingcheng Zhu, Xiaosong Yu, Yongli Zhao, Jie Zhang
2021	—	`conf`	Spectrum Availability Aware Routing and Resource Allocation for Point-to-Multipoint Services in Mixed-Grid Optical Networks. CECNet Feng Wang, Qingcheng Zhu, Xiaolong Li, Jiaming Gu, Zhenhua Yan, Xiaosong Yu, Yongli Zhao
2020	J	`jnl`	Effect of Surrounding Atmospheres on Break Arc Durations of Electrical Contacts in DC Load Conditions. IEICE Trans. Electron. Jiang Wei, Lige Zhang, Zhenbiao Li, Dandan Zhang, Xiaoping Bai, Makoto Hasegawa, Qingcheng Zhu

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.