王朔遥 副教授

  • 办公室:至真楼 丁文华院士团队数字创意实验室 L6-906B
  • 导师类别:硕士生导师
  • E-mail:sywang@szu.edu.cn
  • 办公电话:
个人详情

个人详情

王朔遥,1991 年 2 月生,IEEE 高级会员,于 2013 年和 2018 年分别获香港中文大学信息工程学士(一等荣 誉,Top 5%)和博士学位。曾与 2018 年至 2020 年期间任腾讯公司研究员。于 2020 年起,就职于深圳大学电 子与信息工程学院数字创意研究中心(丁文华院士团队),现任副教授,兼任通信领域国际权威期刊 IEEE TMC 和 IEEE OJCOM 编委等学术职务。主持国家自然科学基金面上/青年项目,广东省面上项目 2 项,深圳大学校内 人才计划 2035 项目,腾讯-深圳大学联合项目,以及其他省市级、企业科研项目共计 8 项。申请人以第一或通 讯作者在 IEEE TWC、TMC、JSAC、TMM 通信领域权威汇刊等 IEEE 期刊发表论文 23 篇,其中唯一第一作者 署名论文 11 篇,谷歌学术引用 1300 次,授权专利 10 余项;以第一或通讯作者发表会议 21 篇,包括 ECCV、 IJCAIx2、ACM MM 等人工智能顶会,获得包括 IEEE ICC、WCSP 等在内的 2 项国际会议最佳论文; 共计以第一 或通讯作者发表 20 余篇中科院一区期刊或 CCF-A 类会议论文。本页更新于2025年9月,最新消息可关注研究团队主页:https://wsycuhk.github.io/

主要经历

2024-至今:深圳大学电子与信息工程学院,副教授

2020-2024:深圳大学电子与信息工程学院,助理教授

2018-2020:腾讯,高级研究员

2013-2018:香港中文大学信息工程学院,博士

2009-2013:香港中文大学信息工程学院,学士


教学与研究生指导信息

教授课程:机器学习、概率论与数理统计、前沿技术讲座、论文指导写作

硕士研究生招生方向

l 信息与通信工程(学术型)

l 通信工程(专业型)

l 新一代电子信息技术(专业型)

感兴趣的同学可发送个人简历之我的邮箱w.shuoy@gmail.com



研究方向

l 视频通信:码率自适应视频流、面向图像视频的语义通信

l 边缘计算:云边协同视频渲染/转码、边缘视频分析边缘大模型

l 三维视觉:3D目标检测、图像/点云复原、多模态识别


荣誉奖励

l 2024 IEEE ICC 国际通信会议最佳论文奖(获奖率 0.6%)

l 2024 IEEE WCSP 无线通信与信号处理会议最佳论文奖(获奖率 1.2%)2022 IEEE JSAC 高光论文(Top 1/27)


项目主持

1. 国家自然科学基金面上项目, 2026/01-2029/12

2. 国家自然科学基金青年项目, 2022/01-2024/12

3. 广东省自然科学基金面上项目,2025/01-2027/12

4. 广东省自然科学基金面上项目,2022/01-2024/12

5. 深圳大学 2035 追求卓越计划项目,2025/01-2026/12

6. 腾讯“犀牛鸟”-深圳大学青年教师科研基金项目,2021/01-2022/12

7. 深圳市孔雀计划科研基金,2021/01-2023/12

8. 深圳市商巨视觉合作项目,2020/06-2020/12


代表性论文(时间倒序,#表示为所指导学生,完整论文列表见研究团队主页)

[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. (中科院一区)

[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] (中科院一区)

[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. (中科院一区)

[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. (中科院一区)

[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. (中科院一区)

[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,中科院一区)

[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. (中科院一区)

[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,中科院一区)

[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区)

[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. (计算机视觉三大顶会)

[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区)

[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,中科院一区)

[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区)

[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区)

[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区)

[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区,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)

[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, ESI高被引论文)

[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)