Rui Ding received the B.S degree in Communication Engineering from NUIST, Jiangsu, China, in 2020. He received his M. S. degree in Information and Communication Engineering from NUAA in 2023. 04. He is currently working towards the Ph.D. degree in NUAA, Jiangsu, China, supervised by Prof. Fuhui Zhou and Prof. Qihui Wu. His current research interests include intelligent spectrum cognitive and spectrum decision, resource optimization.
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🔥 News
- 2024.04: 🎉 Congratulations on having our paper “From External Interaction to Internal Inference: An Intelligent Learning Framework for Spectrum Sharing and UAV Trajectory Optimization” accepted for IEEE TWC!
- 2023.11: 🎉 Congratulations on winning the Best Poster Award in CIE Excellent Doctoral Form 2023!
- 2023.11: 🎉 Congratulations on winning the Best Paper Award in IEEE Globecom 2023!
- 2023.09: 🎉 Congratulations on having our paper accepted for IEEE TWC!
- 2023.08: 🎉 Congratulations on winning the Best Paper Award in IEEE/CIC ICCC 2023!
- 2023.08: 🎉 Congratulations on having our paper accepted for IEEE GLOBECOM 2023!
- 2023.07: 🎉 Congratulations on our collaborative paper receiving the Excellent Graduate Student Award in Ucom 2023!
- 2023.07: 🎉 Congratulations on having our collaborative paper accepted for IEEE TKDE (CCF A)!
📝 Publications
👍 Featured Papers
RFML-Driven Spectrum Prediction: A Novel Model-Enabled Autoregressive Network
Rui Ding, Ming Xu, Fuhui Zhou, Qihui Wu, and Rose Qingyang Hu.
- A novel data and model knowledge dual-driven spectrum prediction scheme is proposed.
- The prediction accuracy in the low SNRs is improved significantly.
- The complexity of the neural network architecture is reduced compared with conventional methods.
- We open a new avenue for realizing the explainable intelligent spectrum prediction.
Data-and-Knowledge Dual-Driven Automatic Modulation Recognition for Wireless Communication Networks
Rui Ding, Hao Zhang, Fuhui Zhou, Qihui Wu, and Zhu Han.
🧐🔍 Spectrum Cognition
IEEE TWC(IF: 10.237, Q1) Data and Knowledge Dual-Driven Automatic Modulation Classification for 6G Wireless Communications, Rui Ding, Fuhui Zhou, Qihui Wu, Chao Dong, Zhu Han, and Octavia A. Dobre (accepted)IEEE TKDE(CCF A) Social-Enhanced Explainable Recommendation With Knowledge Graph, Chunyu Liu, Wei Wu, Siyu Wu, Lu Yuan, Rui Ding, Fuhui Zhou, and Qihui WuIEEE TKDE(CCF A) Temporal Enhanced Multi-modal Graph Neural Networks for Fake News Detection, Zhibo Qu, Fuhui Zhou, Xi Song, Rui Ding, Lu Yuan, and Qihui Wu (submitted)IEEE IOT(IF: 11.237, Q1) RFML-Driven Spectrum Prediction: A Novel Model-Enabled Autoregressive Network, Rui Ding, Ming Xu, Fuhui Zhou, Qihui Wu, and Rose Qingyang HuIEEE ICCData-and-Knowledge Dual-Driven Automatic Modulation Recognition for Wireless Communication Networks, Rui Ding, Hao Zhang, Fuhui Zhou, Qihui Wu, and Zhu HanJ DATA ACQUIS PROCESS(cover paper) Survey on Theory and Applications on Radio Frequency Machine Learning for Electromagentic Spectrum Space, Fuhui Zhou, Zitong Zhang, Rui Ding, Ming Xu, Lu Yuan, and Qihui Wu
🛰️📊 Spectrum Decision
ICCC 2023(best paper award) Novel Online-Offline MA2C-DDPG for Efficient Spectrum Allocation and Trajectory Optimization in Dynamic Spectrum Sharing UAV Networks, Rui Ding, Fuhui Zhou, Yuben Qu, Chao Dong, Qihui Wu, and Tony Q. S. QuekGlobecom 2023A Partially Observable Deep Multi-Agent Active Inference Framework for Resource Allocation in 6G and Beyond Wireless Communications Networks, Fuhui Zhou, Rui Ding, Qihui Wu, Derrick Wing Kwan Ng, Kai-Kit Wong, and Naofal Al-DhahirUcom 2023(excellent graduate student award) An Intelligent RFFI Scheme Based on Multi-Scale Learning and Attention Mechanism, Ming Xu, Rui Ding, Lu Yuan, and Fuhui Zhou
✍️Working Papers
👨💻 Patents
United States PatentIntelligent Data and Knowledge Driven Method For Modulation Recognition，Fuhui Zhou, Rui Ding, Ming Xu, Hao Zhang, Lu Yuan, Qihui Wu, Chao Dong, patent no.: 11700156.Chinese National Invention Patent《面向6G基于部分可观测主动推理的智能资源分配方法》，丁锐，周福辉，袁璐，渠智渤，丁家昕，张小飞，吴启晖，已受理Chinese National Invention Patent《一种基于射频机器学习模型驱动的频谱预测方法》，周福辉，丁锐，徐铭，袁璐，吴雨航，吴启晖，董超，黄洋，已授权，专利号：ZL202111169587.5，授权号：CN113840297B，申请号：CN202111169587.5Chinese National Invention Patent《一种数据知识双驱动的调制智能识别系统与方法》，周福辉，丁锐，徐铭，张浩，袁璐，吴启晖，董超，已授权，专利号：ZL202210123132.8，授权号：CN114157539B，申请号：CN202210123132.8Chinese National Invention Patent《一种基于知识图谱驱动的多用户认知语义通信系统及方法》，李怡昊，周福辉，袁璐，丁锐，徐铭，吴启晖，董超，已受理，申请号：202211411520.2Chinese National Invention Patent《一种基于辐射源知识图谱的空中目标意图识别方法》，周福辉，胡林圣，袁璐，李怡昊，丁锐，晋本周，吴启晖，已受理，申请号：202211461063.8Software Copyright“全域频谱认知系统”，软件著作权，徐铭，丁锐，王晨玥，胡林圣，张浩，周福辉，已授权，登记号：2021SR1917466Chinese National Invention Patent《一种基于时序聚合多模态图神经网络的虚假新闻检测方法》，周福辉，渠智渤，袁璐，丁锐，宋熙，吴启晖，已受理Chinese National Invention Patent《数据与知识双驱动的频谱地图智能精确构建方法》，周福辉，刘佳钰，刘晓东，王晨玥，丁锐，董超，吴启晖 ，已受理
🏆 Honors and Awards
- 2023.12 IEEE Globecom 2023 Best Paper Award
- 2023.08 IEEE ICCC 2023 Best Paper Award (13 candidates worldwide this year)
- 2022.12 Graduate National Scholarship (Top 1%)
📖 Educations
- 2023.04 - Now, Ph. D. in Nanjing University of Aeronautics and Astronautics, Supervisor: Prof. Fuhui Zhou and Prof. Qihui Wu.
- 2020.09 - 2023.04, M. S. in Nanjing University of Aeronautics and Astronautics, Supervisor: Prof. Fuhui Zhou and Prof. Qihui Wu.
- 2016.09 - 2020.06, B. S. in Nanjing University of Information Science and Technology.
💻 Internships
- 2021.12 - 2022.06, in Huawei Technology Co., Ltd., Chengdu, Supervisor: Prof. Kun Zeng.
💬 Presentations and Invited Talks
2023.08, IEEE ICCC/CIC 2023, Poster Presentation, Dalian, China | [Video]
With full humility and utmost gratitude. The best paper award would not have been possible without the support and guidance of my mentor, Prof. Fuhui Zhou, the dedication of the team, and the unwavering encouragement from my loved ones.
2022.05, IEEE ICC 2023, Online Presentation, Seoul, South Korea