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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS, SAT (Joint) |
2023-08-31 10:30 |
Nagano | Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
Enhancing CSI Feedback in FDD Massive MIMO Systems using Dropout-based Deep Neural Network Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Guan Gui (NJUPT)  RCS2023-101 |
Accessing precise downlink channel state information (CSI) is crucial in maximizing the benefits of frequency division ... [more] |
RCS2023-101 pp.1-4 |
| MI | 2023-07-03 10:30 |
Miyagi | Tohoku Univ. Sakura Hall | Multi-directional Motion Analysis of Diaphragm in Patients with Chronic Obstructive Pulmonary Disease Xingyu Zhou (Chiba Univ.), Chen Ye (NJUPT), Takayuki Okamoto (Chiba Univ.), Yuma Iwao (QST), Naoko Kawata, Hideaki Haneishi (Chiba Univ.) MI2023-8 |
Chronic obstructive pulmonary disease (COPD) typically causes airflow blockage and breathing difficulty, with the abnorm... [more] | MI2023-8 pp.3-8 |
| RCS, SR, SRW (Joint) |
2023-03-01 10:25 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
A Novel DNN-based CSI Feedback with Quantization for FDD Massive MIMO Systems Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Gui Guan (NJUPT) RCS2022-252 |
Accessing the accurate downlink channel state information (CSI) is essential to take full advantage of frequency divis... [more] |
RCS2022-252 pp.31-35 |
| RCS, SR, SRW (Joint) |
2023-03-01 11:15 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Self-Superviced Non-IID Federated Learning by using CKA Li Zhaojie, Ohtsuki Tomoaki (Keio Univ.), Gui Guan (NJUPT) RCS2022-254 |
Federated Learning is now widely used to train neural networks on distributed datasets. It allows a system to perform di... [more] | RCS2022-254 pp.42-47 |
| MIKA (3rd) |
2022-10-14 10:40 |
Niigata | Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A New CSI Feedback with Quantization Based on Adaptive DNN for FDD Massive MIMO Systems Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Guan Gui (NJUPT) |
Accessing the accurate downlink channel state information (CSI) is essential to take full advantage of frequency divisio... [more] | |
| RCS | 2019-10-24 16:55 |
Kanagawa | Yokosuka Research Park | [Invited Talk]
Deep Learning for Physical-Layer 5G Wireless Techniques Guan Gui (NJUPT) RCS2019-191 |
The new demands for high-reliability and ultra-high capacity wireless communication have led to extensive research into ... [more] | RCS2019-191 pp.71-76 |
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