李良知 (LIANGZHI LI) - マイポータル

基本情報

所属: 大阪大学データビリティフロンティア機構特任助教

研究者番号: 10875545
ORCID ID: https://orcid.org/0000-0002-8879-5957
J-GLOBAL ID: 202001010582322262
researchmap会員ID: R000002997

外部リンク: https://www.liangzhili.com

受賞

2019年3月

蘭岳賞室蘭工業大学
2018年12月

IEEE札幌支部若手研究者年間優秀論文賞
2018年10月

佐藤矩康博士記念国際活動奨学賞
2017年12月

IEEE Communications Letters Exemplary Reviewer
2017年6月

最優秀論文賞 Everything is Image: CNN-based Short-term Electrical Load Forecasting for Smart Grid International Conference on Frontier of Computer Science and Technology (FCST)

論文

Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory

Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara

BMC Medical Informatics and Decision Making 23(1) 2023年5月4日
One-shot pruning of gated recurrent unit neural network by sensitivity for time-series prediction

Hong Tang, Xiangzheng Ling, Liangzhi Li, Liyan Xiong, Yu Yao, Xiaohui Huang

Neurocomputing 512 15-24 2022年11月1日査読有り
Match them up: visually explainable few-shot image classification

Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara

Applied Intelligence 2022年査読有り
Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning

Bowen Wang, Liangzhi Li, Yuta Nakashima, Takehiro Yamamoto, Hiroaki Ohshima, Yoshiyuki Shoji, Kenro Aihara, Noriko Kando

Proceedings of the 2021 International Conference on Multimedia Retrieval 2021年8月24日査読有り
MTUNet: Few-Shot Image Classification With Visual Explanations.

Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara

IEEE Conference on Computer Vision and Pattern Recognition Workshops 2294-2298 2021年6月査読有り
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition.

Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara

2021 IEEE/CVF International Conference on Computer Vision(ICCV) 1026-1035 2021年
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation

Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara, Yasushi Yagi

IEEE Access 9 46810-46820 2021年査読有り
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition.

Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara

CoRR abs/2009.06138 2020年査読有り筆頭著者責任著者
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing.

Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara

Medical Imaging with Deep Learning abs/2005.13337 440-453 2020年査読有り筆頭著者責任著者
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks.

Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 3645-3654 2020年査読有り筆頭著者責任著者
Sustainable CNN for Robotic: An Offloading Game in the 3D Vision Computation.

Liangzhi Li, Kaoru Ota, Mianxiong Dong

IEEE Trans. Sustain. Comput. 4(1) 67-76 2019年査読有り筆頭著者
Enabling 60 GHz Seamless Coverage for Mobile Devices: A Motion Learning Approach.

Liangzhi Li, Kaoru Ota, Mianxiong Dong, Christos V. Verikoukis

2018 IEEE Global Communications Conference (GLOBECOM) 1-6 2018年査読有り筆頭著者
Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles.

Liangzhi Li, Kaoru Ota, Mianxiong Dong

IEEE Trans. Vehicular Technology 67(8) 6814-6823 2018年査読有り筆頭著者
Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing.

Liangzhi Li, Kaoru Ota, Mianxiong Dong

IEEE Trans. Ind. Informatics 14(10) 4665-4673 2018年査読有り筆頭著者
DeepNFV: A Lightweight Framework for Intelligent Edge Network Functions Virtualization.

Liangzhi Li, Kaoru Ota, Mianxiong Dong

IEEE Network 33(1) 136-141 2018年査読有り筆頭著者
Human in the Loop: Distributed Deep Model for Mobile Crowdsensing.

Liangzhi Li, Kaoru Ota, Mianxiong Dong

IEEE Internet Things J. 5(6) 4957-4964 2018年査読有り筆頭著者
Everything is Image: CNN-based Short-Term Electrical Load Forecasting for Smart Grid.

Liangzhi Li, Kaoru Ota, Mianxiong Dong

2017 11th International Conference on Frontier of Computer Science and Technology 344-351 2017年査読有り筆頭著者
Eyes in the Dark: Distributed Scene Understanding for Disaster Management.

Liangzhi Li, Kaoru Ota, Mianxiong Dong, Wuyunzhaola Borjigin

IEEE Trans. Parallel Distrib. Syst. 28(12) 3458-3471 2017年査読有り筆頭著者
Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS).

Hong Tang 0003, Liangzhi Li, Nanfeng Xiao

Sensors 17(2) 393-393 2017年査読有り責任著者
When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid.

Liangzhi Li, Kaoru Ota, Mianxiong Dong

IEEE Communications Magazine 55(10) 46-51 2017年査読有り筆頭著者

もっとみる

MISC

Cardiovascular Disease Risk Prediction using Retinal Images via Explainable-AI based models with Traditional CVD risk factor estimation

Ryo Kawasaki, Yiming Qian, Liangzhi Li, Kohji Nishida, Yuta Nakashima, Hajime Nagahara

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE 63(7) 2022年6月査読有り
A fully automated grading system for the retinal arteriovenous crossing signs using deep neural network

Kawasaki, Ryo, Li, Liangzhi, Nakashima, Yuta, Nagahara, Hajime, Ohkubo, Takayoshi, Nishida, Kohji

Investigative Ophthalmology & Visual Science 61(7) 1930-1930 2020年査読有り

所属学協会

2017年 - 現在

IEEE米国電気電子学会会員

共同研究・競争的資金等の研究課題

眼底画像のみから循環器疾患リスクプロファイリングを行う「新・眼底健診」の提案

日本学術振興会科学研究費助成事業基盤研究(B) 2022年4月 - 2026年3月

川崎良, 布施昇男, 原田成, 李良知, 佐々木真理子, 大久保孝義, 平良摩紀子, 中島悠太
Explainable Artificial Intelligence for Medical Applications

日本学術振興会科学研究費助成事業若手研究 2021年4月 - 2023年3月

李良知
Removing the Burden of Data Labeling: Automatic Surgical Video Understanding with Unsupervised Learning

日本学術振興会科学研究費助成事業研究活動スタート支援 2020年9月 - 2022年3月

李良知

李良知

基本情報

受賞

論文

MISC

所属学協会

共同研究・競争的資金等の研究課題

メニュー

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