Qing Liang - RankMe

28 papers A 2C 2Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Learning Heritage by Touch: A Tangible Interactive Prototype for Changsha Kiln Mójié Culture. CHI Extended Abstracts Zhaoyu Wang, Qing Liang, Fanrui Zhang
2026	J	`jnl`	Precision mapping of soil salinity in reclaiming salt-induced wasteland with UAV multispectral images and machine learning. Comput. Electron. Agric. Haisong Yao, Tibin Zhang, Songling Chen, Yuxin Kuang, Yu Cheng, Qing Liang, Hao Feng, Gaoxiang Zhou, Kadambot H. M. Siddique
2026	J	`jnl`	Recognition of Coexisting Phases in Model Membranes via an Unsupervised Method. J. Chem. Inf. Model. Yuzhuo Dai, Jianwei Zhao, Beibei Wang, Qing Liang, Ruo-Xu Gu
2025	J	`jnl`	Frequency-Dependent Scaling Factors to Estimate Multiple Time-Period Global Mass Changes Observed by GRACE/GRACE-FO. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Zhenran Peng, Linsong Wang, Qing Liang, Chao Chen
2025	—	`conf`	Strengths and Weaknesses of Longitudinal Research in Information Systems: Preliminary Findings. AMCIS Philippe Marchildon, Pierre Hadaya, Qing Liang
2025	J	`jnl`	Transillumination imaging for detection of stress cracks in maize kernels using modified YOLOv8 after pruning and knowledge distillation. Comput. Electron. Agric. Jingshen Xu, Shuyu Yang, Qing Liang, Zhaohui Zheng, Liuyang Ren, Hanyu Fu, Pei Yang, Weijun Xie, Deyong Yang
2023	C	`conf`	An empirical multi-wall NLOS ranging model for Wi-Fi RTT indoor positioning. IPIN Qing Liang, Guohao Zhang, Li-Ta Hsu
2023	—	`conf`	An improved Sparrow search path planning algorithm for UAV. ICNC-FSKD Qing Liang, Ziyi Yang, Jingjing Zhang, Wei Xiong, Zilong Wang
2023	J	`jnl`	Efficient distributional reinforcement learning with Kullback-Leibler divergence regularization. Appl. Intell. Renxing Li, Zhiwei Shang, Chunhua Zheng, Huiyun Li, Qing Liang, Yunduan Cui
2022	J	`jnl`	A Novel Inertial-Aided Visible Light Positioning System Using Modulated LEDs and Unmodulated Lights as Landmarks. IEEE Trans Autom. Sci. Eng. Qing Liang, Yuxiang Sun, Lujia Wang, Ming Liu
2022	J	`jnl`	Exploiting Asymmetric Co States in a Co-N-C Catalyst for an Efficient Oxygen Reduction Reaction. Symmetry Qing Liang, Fanling Meng, Kexin Song, Dong Wang, Wei Zhang
2022	J	`jnl`	LedMapper: Toward Efficient and Accurate LED Mapping for Visible Light Positioning at Scale. IEEE Trans. Instrum. Meas. Qing Liang, Yuxiang Sun, Chengju Liu, Ming Liu, Lujia Wang
2022	J	`jnl`	MAFNet: Segmentation of Road Potholes With Multimodal Attention Fusion Network for Autonomous Vehicles. IEEE Trans. Instrum. Meas. Zhen Feng, Yanning Guo, Qing Liang, M. Usman Maqbool Bhutta, Hengli Wang, Ming Liu, Yuxiang Sun
2020	J	`jnl`	A Solution to the Attitude Problem Using Two Rotation Units of Micromechanical Gyroscopes. IEEE Trans. Ind. Electron. Qing Liang, Yuliya A. Litvinenko, Oleg A. Stepanov
2020	J	`jnl`	A Tightly Coupled VLC-Inertial Localization System by EKF. IEEE Robotics Autom. Lett. Qing Liang, Ming Liu
2020	J	`jnl`	An Automatic Site Survey Approach for Indoor Localization Using a Smartphone. IEEE Trans Autom. Sci. Eng. Qing Liang, Ming Liu
2019	J	`jnl`	Model aided airborne integrated navigation system based on an improved square-root unscented H∞ filter. Trans. Inst. Meas. Control Jieliang Shen, Yan Su, Qing Liang, Xinhua Zhu
2019	—	`conf`	Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT. ROBIO Umar Özgünalp, Ming Liu, Rui Fan, Shanshan Cheng, Yuxiang Sun, Weixun Zuo, Yilong Zhu, Bohuan Xue, Linwei Zheng, Qing Liang
2019	J	`jnl`	Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT. CoRR Umar Özgünalp, Rui Fan, Shanshan Cheng, Yuxiang Sun, Weixun Zuo, Yilong Zhu, Bohuan Xue, Linwei Zheng, Qing Liang, Ming Liu
2019	J	`jnl`	State estimation for nonlinear discrete-time fractional systems: A Bayesian perspective. Signal Process. Tianyu Liu, Yiheng Wei, Weidi Yin, Yong Wang, Qing Liang
2019	C	`conf`	Towards Robust Visible Light Positioning Under LED Shortage by Visual-inertial Fusion. IPIN Qing Liang, Jiahui Lin, Ming Liu
2018	J	`jnl`	Calculation and Identification of the Aerodynamic Parameters for Small-Scaled Fixed-Wing UAVs. Sensors Jieliang Shen, Yan Su, Qing Liang, Xinhua Zhu
2018	A	`conf`	Indoor Mapping and Localization for Pedestrians using Opportunistic Sensing with Smartphones. IROS Qing Liang, Lujia Wang, Youfu Li, Ming Liu
2018	A	`conf`	Plugo: A Scalable Visible Light Communication System Towards Low-Cost Indoor Localization. IROS Qing Liang, Lujia Wang, Youfu Li, Ming Liu
2017	J	`jnl`	Plugo: a VLC Systematic Perspective of Large-scale Indoor Localization. CoRR Qing Liang, Ming Liu
2016	J	`jnl`	Model Predictive Control for Hybrid Electric Vehicle Platooning Using Slope Information. IEEE Trans. Intell. Transp. Syst. Kaijiang Yu, Haizhu Yang, Xingguo Tan, Taketoshi Kawabe, Yanan Guo, Qing Liang, Ziyi Fu, Zheng Zheng
2016	J	`jnl`	Subspace-based continuous-time identification of fractional order systems from non-uniformly sampled data. Int. J. Syst. Sci. Yangsheng Hu, Yuan Fan, Yiheng Wei, Yong Wang, Qing Liang
2010	—	`conf`	A New Color Information Entropy Retrieval Method for Pathological Cell Image. CCTA (4) Xiangang Jiang, Qing Liang, Tao Shen

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.