Qianyue Bao - RankMe

15 papers A* 2C 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ERFC: Energy-Aware Reinforcement Feedback Calibration for Zero-Shot Captioning. IEEE Trans. Circuits Syst. Video Technol. Qianyue Bao, Fang Liu, Licheng Jiao, Yang Liu, Shuo Li, Lingling Li, Xu Liu, Puhua Chen, Wenping Ma
2025	J	`jnl`	Anomaly-Led Prompting Learning Caption Generating Model and Benchmark. IEEE Trans. Multim. Qianyue Bao, Fang Liu, Licheng Jiao, Yang Liu, Shuo Li, Lingling Li, Xu Liu, Xinyi Wang, Baoliang Chen
2025	J	`jnl`	Chain-of-Situation Aware Progressive Inference Learning. IEEE Trans. Neural Networks Learn. Syst. Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Shuo Li, Lingling Li, Xu Liu, Puhua Chen, Wenping Ma
2025	J	`jnl`	Knowledge-Driven Compositional Action Recognition. Pattern Recognit. Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Shuo Li, Lingling Li, Xu Liu
2025	J	`jnl`	Remote Sensing Video Tracking: Current Status, Challenges, and Future. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Fang Liu, Jiahao Wang, Licheng Jiao, Jie Zhang, Hao Wang, Shuo Li, Lingling Li, Puhua Chen, Xu Liu, Wenping Ma, Shuang Wang, Shuyuan Yang, Xiangrong Zhang, Yaoyang Du, Qianyue Bao, Long Sun, Biao Hou
2025	J	`jnl`	Visual-Language Scene-Relation-Aware Zero-Shot Captioner. IEEE Trans. Pattern Anal. Mach. Intell. Qianyue Bao, Fang Liu, Licheng Jiao, Yang Liu, Shuo Li, Lingling Li, Xu Liu, Puhua Chen
2024	J	`jnl`	A Knowledge-Based Hierarchical Causal Inference Network for Video Action Recognition. IEEE Trans. Multim. Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Lingling Li, Yuwei Guo, Puhua Chen
2024	J	`jnl`	Multi-Grained Gradual Inference Model for Multimedia Event Extraction. IEEE Trans. Circuits Syst. Video Technol. Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Long Sun, Shuo Li, Lingling Li, Xu Liu
2022	—	`conf`	A Three-Stage Model Fusion Method for Out-of-Distribution Generalization. ECCV Workshops (6) Jiahao Wang, Hao Wang, Zhuojun Dong, Hua Yang, Yuting Yang, Qianyue Bao, Fang Liu, Licheng Jiao
2022	A*	`conf`	Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos. ACM Multimedia Qianyue Bao, Fang Liu, Yang Liu, Licheng Jiao, Xu Liu, Lingling Li
2022	A*	`conf`	In-Place Gestures Classification via Long-term Memory Augmented Network. ISMAR Lizhi Zhao, Xuequan Lu, Qianyue Bao, Meili Wang
2022	J	`jnl`	In-Place Gestures Classification via Long-term Memory Augmented Network. CoRR Lizhi Zhao, Xuequan Lu, Qianyue Bao, Meili Wang
2021	—	`conf`	LUAI Challenge 2021 on Learning to Understand Aerial Images. ICCVW Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu
2021	J	`jnl`	LUAI Challenge 2021 on Learning to Understand Aerial Images. CoRR Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu
2021	C	`conf`	MRTA: Multi-Resolution Training Algorithm for Multitemporal Semantic Change Detection. IGARSS Qianyue Bao, Yang Liu, Zixiao Zhang, Dafan Chen, Yuting Yang, Licheng Jiao, Fang Liu

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.