Zhengbang Yang

15 papers A* 2B 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CATNIP: LLM Unlearning via Calibrated and Tokenized Negative Preference Alignment. CoRR Zhengbang Yang, Yisheng Zhong, Junyuan Hong, Zhuangdi Zhu
2026	J	`jnl`	Can LLMs Prove Robotic Path Planning Optimality? A Benchmark for Research-Level Algorithm Verification. CoRR Zhengbang Yang, Md. Tasin Tazwar, Minghan Wei, Zhuangdi Zhu
2026	J	`jnl`	DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher. CoRR Yisheng Zhong, Zhengbang Yang, Zhuangdi Zhu
2025	J	`jnl`	ChatWise: AI-Powered Engaging Conversations for Enhancing Senior Cognitive Wellbeing. CoRR Zhengbang Yang, Zhuangdi Zhu
2025	J	`jnl`	Hierarchical Federated Unlearning for Large Language Models. CoRR Yisheng Zhong, Zhengbang Yang, Zhuangdi Zhu
2025	A*	`conf`	LegoZK: A Dynamically Reconfigurable Accelerator for Zero-Knowledge Proof. HPCA Zhengbang Yang, Lutan Zhao, Peinan Li, Han Liu, Kai Li, Boyan Zhao, Dan Meng, Rui Hou
2025	A*	`conf`	SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models. ICLR Haotian Xia, Zhengbang Yang, Junbo Zou, Rhys Tracy, Yuqing Wang, Chi Lu, Christopher Lai, Yanjun He, Xun Shao, Zhuoqing Xie, Yuan-Fang Wang, Weining Shen, Hanjie Chen
2024	J	`jnl`	Elastic MSM: A Fast, Elastic and Modular Preprocessing Technique for Multi-Scalar Multiplication Algorithm on GPUs. IACR Cryptol. ePrint Arch. Xudong Zhu, Haoqi He, Zhengbang Yang, Yi Deng, Lutan Zhao, Rui Hou
2024	J	`jnl`	Elastic MSM: A Fast, Elastic and Modular Preprocessing Technique for Multi-Scalar Multiplication Algorithm on GPUs. IACR Trans. Cryptogr. Hardw. Embed. Syst. Xudong Zhu, Haoqi He, Zhengbang Yang, Yi Deng, Lutan Zhao, Rui Hou
2024	J	`jnl`	Language and Multimodal Models in Sports: A Survey of Datasets and Applications. CoRR Haotian Xia, Zhengbang Yang, Yun Zhao, Yuqing Wang, Jingxi Li, Rhys Tracy, Zhuangdi Zhu, Yuan-Fang Wang, Hanjie Chen, Weining Shen
2024	J	`jnl`	SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models. CoRR Haotian Xia, Zhengbang Yang, Junbo Zou, Rhys Tracy, Yuqing Wang, Chi Lu, Christopher Lai, Yanjun He, Xun Shao, Zhuoqing Xie, Yuan-Fang Wang, Weining Shen, Hanjie Chen
2024	—	`conf`	SportQA: A Benchmark for Sports Understanding in Large Language Models. NAACL-HLT Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen
2024	J	`jnl`	SportQA: A Benchmark for Sports Understanding in Large Language Models. CoRR Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen
2024	J	`jnl`	Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video. CoRR Zhengbang Yang, Haotian Xia, Jingxi Li, Zezhi Chen, Zhuangdi Zhu, Weining Shen
2022	B	`conf`	Improving Confidence of Uncertain Knowledge Graphs by Crowdsourcing with Limited Budget. ICPADS Haodi Zhang, Wenxi Huang, Chenyu Xu, Zhengbang Yang, Hongxin Zhou, Fengtian Qi, Chen Zhang, Kaishun Wu

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.