Qiancheng Xu - RankMe

15 papers A* 2Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agent-as-a-Judge. CoRR Runyang You, Hongru Cai, Caiqi Zhang, Qiancheng Xu, Meng Liu, Tiezheng Yu, Yongqi Li, Wenjie Li
2026	—	`conf`	KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set Optimization. EACL (Findings) Mingbo Song, Heming Xia, Jun Zhang, Chak Tou Leong, Qiancheng Xu, Wenjie Li, Sujian Li
2025	J	`jnl`	KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set Optimization. CoRR Mingbo Song, Heming Xia, Jun Zhang, Chak Tou Leong, Qiancheng Xu, Wenjie Li, Sujian Li
2025	—	`conf`	PEToolLLM: Towards Personalized Tool Learning in Large Language Models. ACL (Findings) Qiancheng Xu, Yongqi Li, Heming Xia, Fan Liu, Min Yang, Wenjie Li
2025	J	`jnl`	PEToolLLM: Towards Personalized Tool Learning in Large Language Models. CoRR Qiancheng Xu, Yongqi Li, Heming Xia, Fan Liu, Min Yang, Wenjie Li
2025	—	`conf`	Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States. ACL (1) Yang Xiao, Jiashuo Wang, Qiancheng Xu, Changhe Song, Chunpu Xu, Yi Cheng, Wenjie Li, Pengfei Liu
2025	J	`jnl`	Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States. CoRR Yang Xiao, Jiashuo Wang, Qiancheng Xu, Changhe Song, Chunpu Xu, Yi Cheng, Wenjie Li, Pengfei Liu
2024	—	`conf`	Enhancing Tool Retrieval with Iterative Feedback from Large Language Models. EMNLP (Findings) Qiancheng Xu, Yongqi Li, Heming Xia, Wenjie Li
2024	J	`jnl`	Enhancing Tool Retrieval with Iterative Feedback from Large Language Models. CoRR Qiancheng Xu, Yongqi Li, Heming Xia, Wenjie Li
2024	—	`conf`	Maximizing One-Way Trading Revenue in Photovoltaic Energy Generation. COCOA (2) Xinru Guo, Yu Huang, Xinxin Han, Yicheng Xu, Keliang Duan, Qiancheng Xu
2023	A*	`conf`	Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems. AAAI Qiancheng Xu, Min Yang, Ruifeng Xu
2023	A*	`conf`	Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract). AAAI Qiancheng Xu, Min Yang, Binzong Geng
2023	J	`jnl`	Leveraging hierarchical semantic-emotional memory in emotional conversation generation. CAAI Trans. Intell. Technol. Min Yang, Zhenwei Wang, Qiancheng Xu, Chengming Li, Ruifeng Xu
2021	—	`conf`	Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. ACL/IJCNLP (2) Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang
2021	J	`jnl`	Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. CoRR Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang

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.