（時(shí)間倒序，#表示為所指導(dǎo)學(xué)生，完整論文列表見研究團(tuán)隊(duì)主頁）
[1] Z. Xu#, S. Wang*, and Y. J. A. Zhang, ”Near Field Sparse Representation and Dictionary Design Using Discrete Fresnel Transform” accepted by IEEE Transactions on Wireless Communications. (中科院一區(qū))
[2] M. Gong#, S. Wang*, S. Bi, Y. Wu, and L. Qian, ”Digital Semantic Communications: An Alternating Multi-Phase Training Strategy with Mask Attack”, accepted by IEEE Transactions on Wireless Communications. [Github] (中科院一區(qū))
[3]Y. Dai#, S. Wang*, and J. Lin, ”Enhancing User Experience and Storage Efficiency for Adaptive Video Streaming in Edge Networks”, accepted by IEEE Transactions on Cognitive Communications and Networking. (中科院一區(qū))
[4]S. Liu, S. Wang*, F. Ye, and Q. Wu, ”Cloud-Edge Collaborative Transcoding for Adaptive Video Streaming: Enhancing QoE in Wireless Networks”,accepted by IEEE Transactions on Green Communications and Networking.
[5]H. Hou, S. Bi, X. Li, S. Wang, L. Qian and Z. Quan, ”Scalable Multi-task Edge Sensing via Task-oriented Joint Information Gathering and Broadcast,” accepted by IEEE Transactions on Wireless Communications. (中科院一區(qū))
[6]J. Ma#, S. Wang*, Q. Zheng, and X. Mai, ”Geometric Continuity and Consistency Learning for Self-Supervised Point Cloud Completion”, accepted by IEEE Transactions on Multimedia. (中科院一區(qū))
[7]W. Feng#, S. Wang*, and Y. Dai#, ”Adaptive 360-Degree Streaming: Optimizing with Multiwindow and Stochastic Viewport Prediction”, in IEEE Transactions on Mobile Computing, vol. 24, no. 7, pp. 5903-5915, July 2025. (CCF-A，中科院一區(qū))
[8]Z. Xu#, S. Wang*, and Y. J. A. Zhang, ”Scenario-Adaptive Meta-Learning for mmWave Beam Alignment,” in IEEE Transactions on Wireless Communications, vol. 24, no. 4, pp. 3192-3208, April 2025. (中科院一區(qū))
[9]S. Wang, J. Lin#, and F. Ye, "Imitation Learning for Adaptive Video Streaming with Future Adversarial Information Bottleneck Principle," accepted by IEEE Transactions on Mobile Computing. (CCF-A，中科院一區(qū))
[10]S. Wang, J. Lin#, and Y. Dai#, "MMVS: Enabling Robust Adaptive Video Streaming for Wildly Fluctuating and Heterogeneous Networks," accepted by IEEE Transactions on Multimedia. （中科院1區(qū)）
[11]R. Zhao#, H. Yan#, and S. Wang, "Revisiting Domain-Adaptive Object Detection in Adverse Weather by the Generation and Composition of High-Quality Pseudo-Labels," European Conference on Computer Vision (ECCV), Milan, Italy, Sep. 2024. (計(jì)算機(jī)視覺三大頂會(huì))
[12] H. Yan# and S. Wang, "DFMDA-Net: Dense Fusion and Multi-dimension Aggregation Network for Image Restoration," International Joint Conference on Artificial Intelligence (IJCAI), Jeju, Aug. 2024.（CCF-A）
[13]J. Hou#, J. Lin#, and S. Wang, "A Scalable Re-Ranking Optimization Approach for Real-Time Network-Friendly Recommendations," accepted by IEEE Internet of Things Journal. （中科院1區(qū)）
[14]S. Wang, J. Yang#, and S. Bi, "Adaptive Video Streaming in Multi-Tier Computing Networks: Joint Edge Transcoding and Client Enhancement," in IEEE Transactions on Mobile Computing, vol. 23, no. 4, pp. 2657-2670, April 2024. (CCF-A，中科院一區(qū))
[15]S. Wang and S. Bi, "Improving Beam Alignment Accuracy in mmWave Communication Systems With Auxiliary Tasks," in IEEE Signal Processing Letters, vol. 30, pp. 992-996, 2023.（中科院2區(qū)）
[16]S. Wang, S. Bi, and Y. J. A. Zhang, "Edge Video Analytics with Adaptive Information Gathering: A Deep Reinforcement Learning Approach," in IEEE Transactions on Wireless Communications, vol. 22, no. 9, pp. 5800-5813, Sept. 2023. （中科院1區(qū)）
[17]P. Zhang#, H. Yan#, W. Wu, and S. Wang, “Improving Federated Person Re-Identification through Feature-Aware Proximity and Aggregation,” ACM International Conference on Multimedia (MM), Ottawa, CAnada, Oct. 2023 (Accpetance Rate 902/3669=24.6%).（CCF-A）
[18] J. Lin#, and S. Wang,"Improving robustness of learning-based adaptive video streaming in wildly fluctuating networks,” IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, July 2023 (Oral, Acceptance Rate 294/1415=20.7%).
[19] B.Zhou#, H.Yan#, and S. Wang, "Structure and Texture Preserving Network for Real-World Image Super-Resolution," in IEEE Signal Processing Letters, vol. 29, pp. 2173-2177, 2022.（中科院2區(qū)）
[20]S. Wang, S. Bi and Y. -J. A. Zhang, "Deep Reinforcement Learning With Communication Transformer for Adaptive Live Streaming in Wireless Edge Networks," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 1, pp. 308-322, Jan. 2022. (中科院1區(qū)，CCF-A)
[21] S. Wang, S. Bi, and Y. J. Zhang, “Adaptive Wireless Video Streaming: Joint Transcoding and Transmission Resource Allocation,” in IEEE Transactions on Wireless Communications, vol. 21, no. 5, pp. 3208-3221, May 2022. (中科院1區(qū))
[22] S. Wang, S. Bi, and Y. J. Zhang, “Reinforcement learning for real-time pricing and scheduling control in EV charging stations,” IEEE Transactions on Industrial Informatics, vol. 17, no. 2, pp. 849-859, Feb. 2021. （中科院1區(qū), ESI高被引論文）
[23] S. Wang and D. Zhu, “Interpretable multimodal learning for intelligent regulation in online payment systems,” International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, July 2020. (CCF-A)
[24] S. Wang, S. Bi, and Y. J. Zhang, “Locational Detection of the False Data Injection Attack in a Smart Grid: A Multi-label Classification Approach,” IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8218-8227, Sept. 2020. (中科院1區(qū))
