Qiqiang Lin - RankMe

11 papers A* 2Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Milestone Reward for GUI Agents. CoRR Congmin Zheng, Xiaoyun Mo, Xinbei Ma, Qiqiang Lin, Yin Zhao, Jiachen Zhu, Xingyu Lou, Jun Wang, Zhaoxiang Wang, Weiwen Liu, Zhuosheng Zhang, Yong Yu, Weinan Zhang
2026	A*	`conf`	ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks. WWW Yuanyi Song, Heyuan Huang, Qiqiang Lin, Yin Zhao, Xiangmou Qu, Jun Wang, Xingyu Lou, Weiwen Liu, Zhuosheng Zhang, Jun Wang, Zhaoxiang Wang, Yong Yu, Weinan Zhang
2025	J	`jnl`	ColorAgent: Building A Robust, Personalized, and Interactive OS Agent. CoRR Ning Li, Qiqiang Lin, Zheng Wu, Xiaoyun Mo, Weiming Zhang, Yin Zhao, Xiangmou Qu, Jiamu Zhou, Congmin Zheng, Yuanyi Song, Hongjiang Chen, Heyuan Huang, Jihong Wang, Jiaxin Yin, Jingwei Yu, Junwei Liao, Qiuying Peng, Xingyu Lou, Jun Wang, Weiwen Liu, Zhuosheng Zhang, Weinan Zhang
2025	J	`jnl`	ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks. CoRR Yuanyi Song, Heyuan Huang, Qiqiang Lin, Yin Zhao, Xiangmou Qu, Jun Wang, Xingyu Lou, Weiwen Liu, Zhuosheng Zhang, Yong Yu, Weinan Zhang, Zhaoxiang Wang
2025	—	`conf`	HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Assistant Scenarios. ACL (Findings) Jun Wang, Jiamu Zhou, Xihuai Wang, Xiaoyun Mo, Haoyu Zhang, Qiqiang Lin, Jincheng Jincheng, Muning Wen, Weinan Zhang, Qiuying Peng
2025	A*	`conf`	Robust Function-Calling for On-Device Language Model via Function Masking. ICLR Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Jun Wang, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Weinan Zhang
2024	J	`jnl`	A Framework to Implement 1+N Multi-task Fine-tuning Pattern in LLMs Using the CGC-LORA Algorithm. CoRR Chao Song, Zhihao Ye, Qiqiang Lin, Qiuying Peng, Jun Wang
2024	J	`jnl`	Hammer: Robust Function-Calling for On-Device Language Models via Function Masking. CoRR Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Jun Wang, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Jun Wang, Weinan Zhang
2024	J	`jnl`	HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Device Scenarios. CoRR Jun Wang, Jiamu Zhou, Muning Wen, Xiaoyun Mo, Haoyu Zhang, Qiqiang Lin, Cheng Jin, Xihuai Wang, Weinan Zhang, Qiuying Peng, Jun Wang
2022	—	`conf`	An Encoder-Decoder Approach to Offline Handwritten Mathematical Expression Recognition with Residual Attention. ICPRAI (1) Qiqiang Lin, Chunyi Wang, Ning Bi, Ching Y. Suen, Jun Tan
2022	—	`conf`	CCLSL: Combination of Contrastive Learning and Supervised Learning for Handwritten Mathematical Expression Recognition. ACCV (2) Qiqiang Lin, Xiaonan Huang, Ning Bi, Ching Y. Suen, Jun Tan

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.