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

Improving facade parsing with vision transformers and line integration

Bowen Wang, Jiaxin Zhang, Ran Zhang, Yunqin Li, Liangzhi Li, Yuta Nakashima

Advanced Engineering Informatics 60 102463-102463 2024年4月
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
Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis

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

PLOS Digital Health 2(1) 2023年1月11日査読有り
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

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) 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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