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- 出生年：1988
- 教师拼音名称： YJC
- 电子邮箱： b4be27a6c2921bf1b6fc2c49564d801511392e9f2076a0a7bd087fea3ad98c7b7bd9b7633563eb2d74393c8b0467599b33bb8430b0a73363d0826da362d46a06ef364d043dc370eebe4bb08888d10dec9e2f6d24b30522917997e219e10c2066f75085e1b6d92059683053f6a5cff425d867ae8d2fe58754b4ea87967016613d
- 入职时间： 2020-06-15
- 所在单位： 人工智能学院（计算机科学与信息工程学院）
- 学历： 博士研究生毕业
- 性别： 男
- 学位： 工学博士学位
- 在职信息： 在岗
- 杨军超,周雨婷,郭智威,周月明,申渝.Deep learning-based intelligent precise aeration strategy for factory recirculating aquaculture systems:Artificial Intelligence in Agriculture,2024(12)
- 杨军超,贾璐璐,郭智威,申渝,李显伟,牟振平,余恪平,Jerry Lin.Prediction and control of water quality in Recirculating Aquaculture System based on hybrid neural network:Engineering Applications of Artificial Intelligence,2023(2023)
- 杨军超,林峰,Chinmay Chakrab,郭智威,余恪平,Anh-Tu Nguyen,Joel J. P. C. R.A Parallel Intelligence-driven Resource Scheduling Scheme for Digital Twins-based Intelligent Vehicular Systems:IEEE Transactions on Intelligent Vehicles,2023(2023)
- 杨军超,郭智威,雒江涛,申渝,余恪平.Cloud-Edge-End Collaborative Caching Based on Graph Learning for Cyber-Physical Virtual Reality:IEEE Systems Journal,2023(2023)
- 杨军超,林峰,Dinesh Kumar S,Yanyan Zhu,李余,郭智威.Energy-Efficient Computation Offloading and Resource Allocation in Delay-Constrained Vehicular Edge Network:International Journal of Communication Systems,2022(20220920)
- 杨军超,雒江涛,De Meng,JenqnengHwang.QoE-Driven Resource Allocation Optimized for Uplink Delivery of Delay-Sensitive VR Video Over Cellular Network:IEEE Access,2019(2019)
- 杨军超,雒江涛,林峰,王俊霞.Content-Sensing Based Resource Allocation for Delay-Sensitive VR Video Uploading in 5G H-CRAN:sensors,2019(2019)
- 杨军超,雒江涛,王俊霞,郭嵩.CMU-VP: Cooperative Multicast and Unicast With Viewport Prediction for VR Video Streaming in 5G H-CRAN:IEEE Access,2019(2019)
- 周月明,章勤,张会焱,杨军超,郭智威,Isack Bulugu,申渝.A deep vision sensing‐based fuzzy control scheme for smart feeding in the industrial recirculating aquaculture systems:ELECTRONICS LETTERS,2023(2023592)
- 周月明,杨军超,Amr Tolba,Fayez Alqahtani,齐新,申渝.A Data-Driven Intelligent Management Scheme for Digital Industrial Aquaculture based on Multi-object Deep Neural Network:Mathematical Biosciences and Engineering,2023(2023206)
