Qiyang Min - RankMe

15 papers A* 4A 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation. CoRR Zihao Huang, Jundong Zhou, Xingwei Qu, Qiyang Min, Ge Zhang
2025	J	`jnl`	Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space. CoRR Xingwei Qu, Shaowen Wang, Zihao Huang, Kai Hua, Fan Yin, Rui-Jie Zhu, Jundong Zhou, Qiyang Min, Zihao Wang, Yizhi Li, Tianyu Zhang, He Xing, Zheng Zhang, Yuxuan Song, Tianyu Zheng, Zhiyuan Zeng, Chenghua Lin, Ge Zhang, Wenhao Huang
2025	A*	`conf`	Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts. ICML Yike Yuan, Ziyu Wang, Zihao Huang, Defa Zhu, Xun Zhou, Jingyi Yu, Qiyang Min
2025	J	`jnl`	Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts. CoRR Yike Yuan, Ziyu Wang, Zihao Huang, Defa Zhu, Xun Zhou, Jingyi Yu, Qiyang Min
2025	J	`jnl`	Frac-Connections: Fractional Extension of Hyper-Connections. CoRR Defa Zhu, Hongzhi Huang, Jundong Zhou, Zihao Huang, Yutao Zeng, Banggu Wu, Qiyang Min, Xun Zhou
2025	A*	`conf`	Hyper-Connections. ICLR Defa Zhu, Hongzhi Huang, Zihao Huang, Yutao Zeng, Yunyao Mao, Banggu Wu, Qiyang Min, Xun Zhou
2025	A*	`conf`	Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling. ICML Hongzhi Huang, Defa Zhu, Banggu Wu, Yutao Zeng, Ya Wang, Qiyang Min, Xun Zhou
2025	J	`jnl`	Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling. CoRR Hongzhi Huang, Defa Zhu, Banggu Wu, Yutao Zeng, Ya Wang, Qiyang Min, Xun Zhou
2025	J	`jnl`	Scaling Latent Reasoning via Looped Language Models. CoRR Rui-Jie Zhu, Zixuan Wang, Kai Hua, Tianyu Zhang, Ziniu Li, Haoran Que, Boyi Wei, Zixin Wen, Fan Yin, He Xing, Lu Li, Jiajun Shi, Kaijing Ma, Shanda Li, Taylor Kergan, Andrew Smith, Xingwei Qu, Mude Hui, Bohong Wu, Qiyang Min, Hongzhi Huang, Xun Zhou, Wei Ye, Jiaheng Liu, Jian Yang, Yunfeng Shi, Chenghua Lin, Enduo Zhao, Tianle Cai, Ge Zhang, Wenhao Huang, Yoshua Bengio, Jason Eshraghian
2025	J	`jnl`	SeeDNorm: Self-Rescaled Dynamic Normalization. CoRR Wenrui Cai, Defa Zhu, Qingjie Liu, Qiyang Min
2025	A*	`conf`	Ultra-Sparse Memory Network. ICLR Zihao Huang, Qiyang Min, Hongzhi Huang, Yutao Zeng, Defa Zhu, Ran Guo, Xun Zhou
2025	J	`jnl`	UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning. CoRR Zihao Huang, Yu Bao, Qiyang Min, Siyan Chen, Ran Guo, Hongzhi Huang, Defa Zhu, Yutao Zeng, Banggu Wu, Xun Zhou, Siyuan Qiao
2024	J	`jnl`	Hyper-Connections. CoRR Defa Zhu, Hongzhi Huang, Zihao Huang, Yutao Zeng, Yunyao Mao, Banggu Wu, Qiyang Min, Xun Zhou
2024	J	`jnl`	Ultra-Sparse Memory Network. CoRR Zihao Huang, Qiyang Min, Hongzhi Huang, Defa Zhu, Yutao Zeng, Ran Guo, Xun Zhou
2022	A	`conf`	Spherical Graph Embedding for Item Retrieval in Recommendation System. CIKM Wenqiao Zhu, Yesheng Xu, Xin Huang, Qiyang Min, Xun 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.

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.