王朔遙 副教授

  • 辦公室:至真樓 丁文華院士團隊數(shù)字創(chuàng)意實驗室 L6-906B
  • 導師類別:碩士生導師
  • E-mail:sywang@szu.edu.cn
  • 辦公電話:
個人詳情

個人詳情

王朔遙,1991 年 2 月生,IEEE 高級會員,于 2013 年和 2018 年分別獲香港中文大學信息工程學士(一等榮 譽,Top 5%)和博士學位。曾于 2018 年至 2020 年期間任騰訊公司研究員。于 2020 年起,就職于深圳大學電子與信息工程學院數(shù)字創(chuàng)意研究中心(丁文華院士團隊),現(xiàn)任副教授、博士生導師,兼任通信領域國際權(quán)威期刊 IEEE TMC、TIFS 和OJCOM 編委等學術(shù)職務。主持國家自然科學基金面上/青年項目,廣東省面上項目 2 項,深圳大學追求卓越計劃 2035項目,騰訊-深圳大學聯(lián)合項目,以及其他省市級、企業(yè)科研項目共計 10 項。申請人以第一或通 訊作者在 IEEE TWC、TMC、JSAC、TMM 通信領域權(quán)威匯刊以及ECCV、AAAI、IJCAI、MM 等人工智能頂會發(fā)表論文50余篇,獲得包括 IEEE ICC、WCSP 等在內(nèi)的 2 項國際會議最佳論文; 入選中國電子學會青托項目、廣東省青培計劃、全球前2%頂尖科學家榜單;獲廣東省電子學會自然科學一等獎等科研獎勵。本頁更新于2026年1月,最新消息可關(guān)注研究團隊主頁:https://wsycuhk.github.io/

主要經(jīng)歷

2024-至今:深圳大學電子與信息工程學院,副教授

2020-2024:深圳大學電子與信息工程學院,助理教授

2018-2020:騰訊,高級研究員

2013-2018:香港中文大學信息工程學院,博士

2009-2013:香港中文大學信息工程學院,學士


教學與研究生指導信息

教授課程:機器學習、概率論與數(shù)理統(tǒng)計、前沿技術(shù)講座、論文指導寫作

博士研究生招生方向:

1.信息與通信工程

碩士研究生招生方向

1.信息與通信工程(學術(shù)型)

2.通信工程(專業(yè)型)

3.新一代電子信息技術(shù)(專業(yè)型)

感興趣的同學可發(fā)送個人簡歷之我的郵箱w.shuoy[at]gmail[doc]com。也歡迎對科研、大創(chuàng)、互聯(lián)網(wǎng)+等感興趣的本科生加入我的課題組。


研究方向

●視頻通信:碼率自適應視頻流、面向圖像視頻的語義通信

●邊緣計算:云邊協(xié)同視頻渲染/轉(zhuǎn)碼、邊緣視頻分析、邊緣大模型

●三維視覺:3D目標檢測、圖像/點云復原、多模態(tài)識別


榮譽獎勵

●2025 廣東省教學成果獎(高等教育研究生類)一等獎,排名4/10

●2025 廣東省電子學會自然科學獎一等獎,排名1/5

●2025中國電子學會青年人才托舉工程項目

●2025 廣東省科協(xié)青年人才培育計劃

●2024 IEEE ICC 國際通信會議最佳論文獎(獲獎率 0.6%)

●2024 IEEE WCSP 無線通信與信號處理會議最佳論文獎(獲獎率 1.2%)

●2022 IEEE JSAC 高光論文(Top 1/27)


項目主持

1.國家自然科學基金面上項目, 2026/01-2029/12

2.國家自然科學基金青年項目, 2022/01-2024/12

3.中國電子學會青年人才托舉工程項目,2025-2027

4.廣東省科協(xié)青年人才培育計劃項目,2025-

20265.廣東省自然科學基金面上項目,2025/01-2027/12

6.廣東省自然科學基金面上項目,2022/01-2024/12

7.深圳大學 2035 追求卓越計劃項目,2025/01-2026/12

8.騰訊“犀牛鳥”-深圳大學青年教師科研基金項目,2021/01-2022/12

9.深圳市孔雀計劃科研基金,2021/01-2023/12

10.深圳市商巨視覺合作項目,2020/06-2020/12

代表性論文

(時間倒序,#表示為所指導學生,完整論文列表見研究團隊主頁)

[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. (計算機視覺三大頂會)

[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))

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