Longwei Wang

Dr. Longwei Wang is an Assistant Professor in the Department of Computer Science at the University of South Dakota. With over six years of research and teaching experience in artificial intelligence and deep learning, his academic journey has been dedicated to advancing robust and interpretable AI systems.
Driven by a passion for both impactful research and high-quality education, Dr. Wang aims to build intelligent systems that are not only efficient but also transparent and reliable.

Pattern Recognition and Machine Learning
High Performance Computing
Seminar

Robust AI, Explainable AI, Computational Intelligence, and Signal Processing

Citations listed below are presented in a standardized, modified format for display purposes only. They do not necessarily reflect the preferred style and conventions of the faculty member or discipline.

Wang, Longwei, Wang, Chengfei, Li, Yupeng, and Wang, Rui. Improving robustness of deep neural networks via large-difference transformation, 411-419. Vol. 450 Neurocomputing, 2021. (DOI: 10.1016/j.neucom.2021.03.112)
Wang, Longwei, Wang, Chengfei, Li, Yupeng, and Wang, Rui. Explaining the Behavior of Neuron Activations in Deep Neural Networks, 102346. Vol. 111 Ad Hoc Networks, 2021. (DOI: 10.1016/j.adhoc.2020.102346)
Shi, Minyan, Wang, Rui, Liu, Erwu, Xu, Zhixin, and Wang, Longwei. Deep Reinforcement Learning Based Computation Offloading for Mobility-Aware Edge Computing. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 53-65. Springer International Publishing, 2020. (DOI: 10.1007/978-3-030-41114-5_5)
Li, Yupeng, Wang, Yaqi, and Wang, Longwei. DFT-Spread Based PAPR Reduction of OFDM for Short Reach Communication Systems. In Lecture Notes in Electrical Engineering, 696-703. Springer Singapore, 2020. (DOI: 10.1007/978-981-13-9409-6_82)
Wang, Longwei, Chen, Peijie, Wang, Chengfei, and Wang, Rui. Layer-Wise Entropy Analysis and Visualization of Neurons Activation. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 29-36. Springer International Publishing, 2020. (DOI: 10.1007/978-3-030-41117-6_3)
Wang, Longwei, and Liang, Qilian. Performance Analysis of Cooperative Multicell Precoding With Global CSI and Local Individual CSI in the Large Dimensional Regime, 3229-3238. Vol. 67, Iss. 4 IEEE Transactions on Vehicular Technology, 2018. (DOI: 10.1109/tvt.2017.2779791)
Wang, Longwei, and Liang, Qilian. Partial Interference Alignment for Heterogeneous Cellular Networks, 22592-22601. Vol. 6 IEEE Access, 2018. (DOI: 10.1109/access.2018.2828082)
Wang, Longwei, and Liang, Qilian. Low complexity optimization for user centric cellular networks via large dimensional analysis, 412-419. Vol. 25 Physical Communication, 2017. (DOI: 10.1016/j.phycom.2017.08.001)
Wang, Longwei, and Liang, Qilian. Optimization for User Centric Massive MIMO Cell Free Networks via Large System Analysis. In 2016 IEEE Global Communications Conference (GLOBECOM), 1-1. IEEE, 2016. (DOI: 10.1109/glocom.2016.7842103)
Wang, Longwei, Chen, Wen, and Li, Jun. Congestion aware dynamic user association in Heterogeneous cellular network: A stochastic decision approach. In 2014 IEEE International Conference on Communications (ICC), 2636-2640. IEEE, 2014. (DOI: 10.1109/icc.2014.6883721)
Wang, Longwei, Chen, Xianfu, Zhao, Zhifeng, and Zhang, Honggang. Exploration vs exploitation for distributed channel access in cognitive radio networks: A multi-user case study. In 2011 11th International Symposium on Communications & Information Technologies (ISCIT), 360-365. IEEE, 2011. (DOI: 10.1109/iscit.2011.6089953)

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