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Posts by Collection
portfolio
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publications
Separation and Localization of Multiple Distributed Wideband Chirps using The Fractional Fourier Transform.
Published in EURASIP Journal on Wireless Communications and Networking, 2015
Recommended citation: Yu, Jiexiao, Liang Zhang, Kaihua Liu, and Deliang Liu. "Separation and localization of multiple distributed wideband chirps using the fractional Fourier transform." EURASIP Journal on Wireless Communications and Networking 2015, no. 1 (2015): 1-8. https://jwcn-eurasipjournals.springeropen.com/articles/10.1186/s13638-015-0497-9
Coherently Distributed Wideband LFM Source Localization
Published in IEEE Signal Processing Letters, 2021
Recommended citation: Yu, Jiexiao, Liang Zhang, and Kaihua Liu. "Coherently distributed wideband LFM source localization." IEEE Signal Processing Letters 22, no. 4 (2014): 504-508. https://ieeexplore.ieee.org/abstract/document/6928454
An Adversarial Deep Learning-Based Method for Network Security Situation Assessment
Published in Applied Soft Computing, 2021
Recommended citation: Yang, Hongyu, Renyun Zeng, Guangquan Xu, and Liang Zhang. "A network security situation assessment method based on adversarial deep learning." Applied Soft Computing 102 (2021): 107096. https://www.sciencedirect.com/science/article/abs/pii/S1568494621000193
Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time
Published in Springer Nature Switzerland, 2021
Recommended citation: Zhang, Liang, Justin Lieffers, and Adarsh Pyarelal. "Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time." In AAAI Fall Symposium, pp. 205-219. Cham: Springer Nature Switzerland, 2021. https://link.springer.com/chapter/10.1007/978-3-031-21671-8_13
Deep Reinforcement Learning with Vector Quantized Encoding
Published in arXiv, 2022
Recommended citation: Zhang, Liang, Justin Lieffers, and Adarsh Pyarelal. "Deep Reinforcement Learning with Vector Quantized Encoding." arXiv preprint arXiv:2211.06733 (2022). https://arxiv.org/abs/2211.06733
Key Node Recognition in Complex Networks Based on The K-shell Method
Published in Journal of Tsinghua University (Science and Technology), 2022
Recommended citation: Lixia, X.I.E., Honghong, S.U.N., Hongyu, Y.A.N.G. and Liang, Z.H.A.N.G., 2022. Key node recognition in complex networks based on the K-shell method. Journal of Tsinghua University (Science and Technology), 62(5), pp.849-861. http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2022.25.041
Network Security Situation Assessment with Network Attack Behavior Classification
Published in International Journal of Intelligent Systems, 2022
Recommended citation: Yang, Hongyu, Zixin Zhang, Lixia Xie, and Liang Zhang. "Network security situation assessment with network attack behavior classification." International Journal of Intelligent Systems 37, no. 10 (2022): 6909-6927. https://onlinelibrary.wiley.com/doi/abs/10.1002/int.22867
talks
Deep Reinforcement Learning with Vector Quantized Encoding
Published:
I attended the Workshop on Interpretable Policies in Reinforcement Learning at RLC 2024 and presented our work.
teaching
Visual Basic
Undergraduate Course, Civil Aviation University of China, China, Department of CS, 2017
The Fundamentals of Computer Science
Undergraduate Course, Civil Aviation University of China, China, Department of CS, 2018
Computer Programming for Engineering Applications
Undergraduate Course, University of Arizona, Department of ECE, 2021
Neural Networks
Graduate Course, University of Arizona, College of Information Science, 2024
Neural Networks
Graduate Course, University of Arizona, College of Information Science, 2025