Qi Liu

26 papers A* 1A 3B 1Misc 1Journal 8Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A fine-grained predictive optimization framework for dynamic eco-routing of electric vehicles.
Comput. Ind. Eng.
Qi Liu, Yan Li, Maohan Liang, Ruobin Gao, Jinlei Zhang, Yang Liu
2024 J jnl
Improving Multi-Type License Plate Recognition via Learning Globally and Contrastively.
IEEE Trans. Intell. Transp. Syst.
Qi Liu, Yan Liu, Song-Lu Chen, Tian-Hao Zhang, Feng Chen, Xu-Cheng Yin
2024 — conf
Improving Small License Plate Detection with Bidirectional Vehicle-Plate Relation.
MMM (2)
Songkang Dai, Song-Lu Chen, Qi Liu, Chao Zhu, Yan Liu, Feng Chen, Xu-Cheng Yin
2024 J jnl
Improving license plate recognition via diverse stylistic plate generation.
Pattern Recognit. Lett.
Qi Liu, Song-Lu Chen, Yu-Xiang Chen, Xu-Cheng Yin
2024 — conf
Integrated Recognition of Arbitrary-Oriented Multi-line Billet Number.
PRCV (7)
Zhongjie Hu, Qi Liu, Song-Lu Chen, Yan Liu, Feng Chen, Xu-Cheng Yin
2024 — conf
Irregular License Plate Recognition via Global Information Integration.
MMM (2)
Yuan-yuan Liu, Qi Liu, Song-Lu Chen, Feng Chen, Xu-Cheng Yin
2024 — conf
Multi-task Learning for License Plate Recognition in Unconstrained Scenarios.
ICDAR (1)
Zhen-Lun Mo, Song-Lu Chen, Qi Liu, Feng Chen, Xu-Cheng Yin
2024 A conf
Towards Low-resource License Plate Recognition via Feature Shuffling.
ICME
Yuan-yuan Liu, Song-Lu Chen, Qi Liu, Feng Chen, Xu-Cheng Yin
2023 — conf
Complex Glyph Enhancement for License Plate Generation.
ICIG (1)
Yu-Xiang Chen, Qi Liu, Song-Lu Chen, Fang Zhou, Yan Liu, Feng Chen, Xu-Cheng Yin
2023 — conf
End-to-End Multi-line License Plate Recognition with Cascaded Perception.
ICDAR (5)
Song-Lu Chen, Qi Liu, Feng Chen, Xu-Cheng Yin
2023 — conf
Feature Enhancement and Reconstruction for Small Object Detection.
MMM (1)
Chong-Jian Zhang, Song-Lu Chen, Qi Liu, Zhi-Yong Huang, Feng Chen, Xu-Cheng Yin
2023 A conf
InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition.
INTERSPEECH
Zhi-Hao Lai, Tian-Hao Zhang, Qi Liu, Xinyuan Qian, Li-Fang Wei, Feng Chen, Song-Lu Chen, Xu-Cheng Yin
2023 J jnl
InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition.
CoRR
Zhi-Hao Lai, Tian-Hao Zhang, Qi Liu, Xinyuan Qian, Li-Fang Wei, Song-Lu Chen, Feng Chen, Xu-Cheng Yin
2023 — conf
LiteHandNet: A Lightweight Hand Pose Estimation Network via Structural Feature Enhancement.
MMM (1)
Zhi-Yong Huang, Song-Lu Chen, Qi Liu, Chong-Jian Zhang, Feng Chen, Xu-Cheng Yin
2023 A conf
Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding.
INTERSPEECH
Tian-Hao Zhang, Haibo Qin, Zhi-Hao Lai, Song-Lu Chen, Qi Liu, Feng Chen, Xinyuan Qian, Xu-Cheng Yin
2023 J jnl
Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding.
CoRR
Tian-Hao Zhang, Haibo Qin, Zhi-Hao Lai, Song-Lu Chen, Qi Liu, Feng Chen, Xinyuan Qian, Xu-Cheng Yin
2023 Misc conf
Self-Convolution for Automatic Speech Recognition.
ICASSP
Tianhao Zhang, Qi Liu, Xinyuan Qian, Song-Lu Chen, Feng Chen, Xu-Cheng Yin
2022 — conf
Anchor-Free Location Refinement Network for Small License Plate Detection.
PRCV (4)
Zhen-Jia Li, Song-Lu Chen, Qi Liu, Feng Chen, Xu-Cheng Yin
2022 B conf
Semi-Supervised Fine-Grained Classification with Web Data via Noisy Sample Selection.
ICPR
Meng-Xuan Li, Yan Liu, Qi Liu, Song-Lu Chen, Feng Chen, Xu-Cheng Yin
2022 — conf
Vertex Adjustment Loss for Multidirectional License Plate Detection and Recognition.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Song-Lu Chen, Shu Tian, Qi Liu, Feng Chen, Xu-Cheng Yin
2021 J jnl
End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining.
Neurocomputing
Song-Lu Chen, Shu Tian, Jia-Wei Ma, Qi Liu, Chun Yang, Feng Chen, Xu-Cheng Yin
2021 — conf
Fast Recognition for Multidirectional and Multi-type License Plates with 2D Spatial Attention.
ICDAR (4)
Qi Liu, Song-Lu Chen, Zhen-Jia Li, Chun Yang, Feng Chen, Xu-Cheng Yin
2021 — conf
Robust Chinese License Plate Generation via Foreground Text and Background Separation.
ICIG (3)
Yi-Fan Sun, Qi Liu, Song-Lu Chen, Fang Zhou, Xu-Cheng Yin
2021 J jnl
Scale-Invariant Multidirectional License Plate Detection with the Network Combining Indirect and Direct Branches.
Sensors
Song-Lu Chen, Qi Liu, Jia-Wei Ma, Chun Yang
2020 J jnl
End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining.
CoRR
Song-Lu Chen, Shu Tian, Jia-Wei Ma, Qi Liu, Chun Yang, Feng Chen, Xu-Cheng Yin
2019 A* conf
Joint Rotation-Invariance Face Detection and Alignment with Angle-Sensitivity Cascaded Networks.
ACM Multimedia
Bowen Yang, Chun Yang, Qi Liu, Xu-Cheng Yin

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.