Editor Profile

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Dr. Weiwei Jiang, Ph.D.

Assistant Professor

Apr 2022 - Present

Beijing University of Posts and Telecommunications

Beijing

China

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Prof. Weiwei Jiang received the B.Sc. and Ph.D. degrees from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2013 and 2018, respectively. He is currently an assistant professor with the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, and Key Laboratory of Universal Wireless Communications, Ministry of Education. His current research interests include artificial intelligence, machine learning, big data, wireless communication and edge computing. He has published more than 40 academic papers in IEEE Trans and other journals, with more than 2400 citations in Google Scholar. He is one of 2023 Stanford's List of World's Top 2% Scientists.

  • Artificial intelligence
  • Machine Learning
  • Big Data
  • Wireless Communications
  • Edge Computing
  • Jiang W, Han H, Zhang Y, et al. Federated split learning for sequential data in satellite–terrestrial integrated networks[J]. Information Fusion, 2024, 103: 102141. (SCI)
  • Jiang W, Han H, He M, et al. ML-based pre-deployment SDN performance prediction with neural network boosting regression[J]. Expert Systems with Applications, 2024, 241: 122774. (SCI)
  • Zhou Z, Bao Z, Jiang W, et al. Latent Vector Optimization-Based Generative Image Steganography for Consumer Electronic Applications[J]. IEEE Transactions on Consumer Electronics, 2024. (SCI)
  • Jiang W, Zhang Y, Han H, et al. Mobile Traffic Prediction in Consumer Applications: A Multimodal Deep Learning Approach[J]. IEEE Transactions on Consumer Electronics, 2024. (SCI)
  • Jiang W, Han H, He M, et al. When game theory meets satellite communication networks: A survey[J]. Computer Communications, 2024. (SCI)
  • Xia X, Liu Y, Wang X, Zhang F, Chen R, and Jiang W. Infrared and visible image fusion via hybrid variational model[J], IEICE TRANSACTIONS on Information and Systems, 2024. (SCI)
  • Zhang Y, Xu S, Zhang L, Jiang W, et al. Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)[J]. Neural Computing and Applications, 2024: 1-20. (SCI)
  • Jiang W, Han H, He M, et al. Network simulation tools for unmanned aerial vehicle communications: A survey[J]. International Journal of Communication Systems, e5878, 2024. (SCI)
  • He M, Jiang W, Gu W. TriChronoNet: Advancing electricity price prediction with Multi-module fusion[J]. Applied Energy, 2024, 371: 123626. (SCI)
  • Yang B, Wang X, Xing Y, Cheng C, Jiang W and Feng Q. Modality Fusion Vision Transformer for Hyperspectral and LiDAR Data Collaborative Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024. (SCI)
  • Chen Y, He J, Jiang W, et al. Toward Collaborative and Channel-Robust Automatic Modulation Classification for OFDM Signals[J]. IEEE Wireless Communications Letters, 2024. (SCI)
  • Lu Y, Wang W, Bai R, Zhou S, Garg L, Bashir AK, Jiang W, et al. Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites[J]. Information Fusion, 2024: 102682. (SCI)
  • Jianping W, Guangqiu Q, Chunming W, Weiwei J, et al. Federated learning for network attack detection using attention-based graph neural networks[J]. Scientific Reports, 2024, 14(1): 19088. (SCI)
  • Zhang Z, Zhou H, Li C, and Jiang W. IAD-Net: Single-Image Dehazing Network Based on Image Attention[J], IEICE TRANSACTIONS on Information and Systems, 2024. (SCI)
  • Jiang W, Luo J, He M, et al. Graph Neural Network for Traffic Forecasting: The Research Progress[J]. ISPRS International Journal of Geo-Information, 2023, 12(3): 100. (SCI)
  • Jiang W. Software defined satellite networks: A survey[J]. Digital Communications and Networks, 2023. (SCI)
  • Jiang W, Zhan Y, Xiao X. Multi-Domain Network Slicing in Satellite–Terrestrial Integrated Networks: A Multi-Sided Ascending-Price Auction Approach[J]. Aerospace, 2023, 10(10): 830. (SCI)
  • Jiang W, Zhan Y, Xiao X, et al. Network Simulators for Satellite-Terrestrial Integrated Networks: A Survey[J]. IEEE Access, 2023. (SCI)
  • Chen X, Li H, Li C, Jiang W, et al. Single Image Dehazing Based on Sky Area Segmentation and Image Fusion[J]. IEICE TRANSACTIONS on Information and Systems, 2023, 106(7): 1249-1253. (SCI)
  • Jiang W, Zhan Y, Zeng G, et al. Probabilistic forecasting-based admission control for network slicing in software-defined networks[J]. IEEE Internet of Things Journal, 2022. (SCI)
  • Jiang W. Graph-based deep learning for communication networks: A survey[J]. Computer Communications, 2022. (SCI)
  • Jiang W, Zhan Y, Shen X, et al. Compressive sensing-based 3-D rain field tomographic reconstruction using simulated satellite signals[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022. (SCI)
  • Jiang W. Cellular traffic prediction with machine learning: A survey[J]. Expert Systems with Applications, 2022. (SCI)
  • Jiang W. Bike sharing usage prediction with deep learning: A Survey[J]. Neural Computing and Applications, 2022. (SCI)
  • Jiang W, Jiayun Luo. An evaluation of machine learning and deep learning models for drought prediction using weather data[J]. Journal of Intelligent & Fuzzy Systems, 2022. (SCI)
  • Jiang W. Loan default prediction with deep learning and muddling label regularization[J]. IEICE Transactions on Information and Systems, 2022. (SCI)
  • Jiang W, Luo J. Graph neural network for traffic forecasting: A survey[J]. Expert Systems with Applications, 2022: 117921. (SCI, ESI Highly Cited Paper)
  • Zheng Y, Jiang W. Evaluation of Vision Transformers for Traffic Sign Classification[J]. Wireless Communications and Mobile Computing, 2022, 2022. (SCI)
  • Wang Q, Jiang W. Beat Wash-Sale Tax with Multigraph Convolutional Neural Networks Based Trading Strategy[J]. Security and Communication Networks, 2022, 2022. (SCI)
  • Jiang W. Deep Learning Based Short-Term Load Forecasting Incorporating Calendar and Weather Information[J]. Internet Technology Letters, 2022, e383. (EI)
  • Jiang W. Vehicle Destination Prediction with Spatial Clustering and Machine Learning[J]. Internet Technology Letters, e403. (EI)
  • Jiang W, He M, Gu W. Internet Traffic Prediction with Distributed Multi-Agent Learning[J]. Applied System Innovation, 2022, 5(6): 121.
  • Jiang W. Applications of deep learning in stock market prediction: recent progress[J]. Expert Systems with Applications, 2021, 184: 115537. (SCI, ESI Highly Cited Paper)
  • Zhou H, Zhang Z, Liu Y, Xuan M, Jiang W, et al. Single image dehazing algorithm based on modified dark channel prior[J]. IEICE TRANSACTIONS on Information and Systems, 2021, 104(10): 1758-1761. (SCI)
  • Zhou H, Xiong H, Li C, Jiang W, et al. Single image dehazing based on weighted variational regularized model[J]. IEICE Transactions on Information and Systems, 2021, 104(7): 961-969. (SCI)
  • Jiang W. Internet traffic matrix prediction with convolutional LSTM neural network[J]. Internet Technology Letters, 2021, 5(2): e322. (EI)
  • Jiang W. Internet traffic prediction with deep neural networks[J]. Internet Technology Letters, 2021, 5(2): e314. (EI)
  • Jiang W. TaxiBJ21: An open crowd flow dataset based on Beijing taxi GPS trajectories[J]. Internet Technology Letters, 2021, 5(2): e297. (EI)
  • Jiang W, Zhang L. Edge-siamnet and edge-triplenet: New deep learning models for handwritten numeral recognition[J]. IEICE Transactions on Information and Systems, 2020, 103(3): 720-723. (SCI)
  • Jiang W. Time series classification: nearest neighbor versus deep learning models[J]. SN Applied Sciences, 2020, 2. (EI)
  • Wan P, Zhan Y, Jiang W. Study on the satellite telemetry data classification based on self-learning[J]. IEEE Access, 2019, 8: 2656-2669. (SCI)
  • Jiang W, Zhang L. Geospatial data to images: A deep-learning framework for traffic forecasting[J]. Tsinghua Science and Technology, 2018, 24(1): 52-64. (SCI, 2020 Excellent Paper Award)
  • Jiang W. Bipartite matching model with dynamic arrivals and departures[J]. International Journal of Modeling, Simulation, and Scientific Computing, 2018, 9(04): 1850031. (EI)
  • Jiang W, Dominguez C R, Zhang P, et al. Large-scale nationwide ridesharing system: A case study of Chunyun[J]. International Journal of Transportation Science and Technology, 2018, 7(1): 45-59.
  • Jiang W, Zhang L. Evaluating the effects of double-apping on the smartphone-based E-hailing service: A simulation-based study[J]. IEEE Access, 2018, 6: 6654-6667. (SCI)
  • Jiang W, Zhang L. The impact of the transportation network companies on the taxi industry: Evidence from Beijing’s GPS taxi trajectory data[J]. IEEE Access, 2018, 6: 12438-12450. (SCI)
  • Jiang W, Lian J, Shen M, et al. A multi-period analysis of taxi drivers' behaviors based on GPS trajectories[C]//2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2017: 1-6. (EI)
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