Publications

Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara. Learning Bottleneck Concepts in Image Classification. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

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Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara. Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory. BMC Medical Informatics and Decision Making, 2023.

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Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki. Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis. PLOS Digital Health, 2023.

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Hong Tang, Xiangzheng Ling, Liangzhi Li, Liyan Xiong, Yu Yao, Xiaohui Huang. One-shot pruning of gated recurrent unit neural network by sensitivity for time-series prediction. Neurocomputing, 2022.

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Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara. Match them up: visually explainable few-shot image classification. Applied Intelligence, 2022.

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Ryo Kawasaki, Yiming Qian, Liangzhi Li, Kohji Nishida, Yuta Nakashima, Hajime Nagahara. Cardiovascular Disease Risk Prediction using Retinal Images via Explainable-AI based models with Traditional CVD risk factor estimation. Investigative Ophthalmology & Visual Science, 2022.

Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara. SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. IEEE/CVF International Conference on Computer Vision (ICCV), 2021.

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Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara. MTUNet: Few-shot Image Classification with Visual Explanations. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Responsible Computer Vision Workshop, 2021.

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Bowen Wang, Liangzhi Li, Yuta Nakashima, Takehiro Yamamoto, Hiroaki Ohshima, Yoshiyuki Shoji, Kenro Aihara, Noriko Kando. Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning. ACM International Conference on Multimedia Retrieval (ICMR), 2021.

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Vivek Singh Bawa, Gurkirt Singh, Francis KapingA, Inna Skarga-Bandurova, Elettra Oleari, Alice Leporini, Carmela Landolfo, Pengfei Zhao, Xi Xiang, Gongning Luo, Kuanquan Wang, Liangzhi Li, Bowen Wang, Shang Zhao, Li Li, Armando Stabile, Francesco Setti, Riccardo Muradore, Fabio Cuzzolin. The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods. arXiv preprint arXiv:2104.03178, 2021.

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Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara, Yasushi Yagi. Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation. IEEE Access, 2021.

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Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara. Match Them Up: Visually Explainable Few-shot Image Classification. arXiv preprint, 2020.

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Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara. Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. Medical Imaging with Deep Learning (MIDL), 2020.

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Ryo Kawasaki, Liangzhi Li, Yuta Nakashima, Hajime Nagahara, Takayoshi Ohkubo, Kohji Nishida. A fully automated grading system for the retinal arteriovenous crossing signs using deep neural network. Investigative Ophthalmology & Visual Science, 2020.

Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki. IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. The IEEE Winter Conference on Applications of Computer Vision, 2020.

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Liangzhi Li. Artificial Intelligence for Emerging Internet-of-Things Applications. 2019.

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Liangzhi Li, Kaoru Ota, Mianxiong Dong. Sustainable CNN for robotic: An offloading game in the 3D vision computation. IEEE Transactions on Sustainable Computing, 2018.

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Liangzhi Li, Kaoru Ota, Mianxiong Dong. Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles. IEEE Transactions on Vehicular Technology, 2018.

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Liangzhi Li, Kaoru Ota, Mianxiong Dong. Human in the Loop: Distributed Deep Model for Mobile Crowdsensing. IEEE Internet of Things Journal, 2018.

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Liangzhi Li, Kaoru Ota, Mianxiong Dong, Christos Verikoukis. Enabling 60 GHz Seamless Coverage for Mobile Devices: A Motion Learning Approach. 2018 IEEE Global Communications Conference (GLOBECOM), 2018.

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Liangzhi Li, Kaoru Ota, Mianxiong Dong. DeepNFV: A lightweight framework for intelligent edge network functions virtualization. IEEE Network, 2018.

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Liangzhi Li, Kaoru Ota, Mianxiong Dong. Deep learning for smart industry: efficient manufacture inspection system with fog computing. IEEE Transactions on Industrial Informatics, 2018.

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Liangzhi Li, Kaoru Ota, Mianxiong Dong. When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid. IEEE Communications Magazine, 2017.

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Hong Tang, Liangzhi Li, Nanfeng Xiao. Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS). Sensors, 2017.

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Liangzhi Li, Kaoru Ota, Mianxiong Dong, Wuyunzhaola Borjigin. Eyes in the dark: Distributed scene understanding for disaster management. IEEE Transactions on Parallel and Distributed Systems, 2017.

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Liangzhi Li, Kaoru Ota, Mianxiong Dong. Everything is Image: CNN-based Short-term Electrical Load Forecasting for Smart Grid. 2017 14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC), 2017.

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Liangzhi Li, Nanfeng Xiao. Volumetric view planning for 3D reconstruction with multiple manipulators. Industrial Robot: An International Journal, 2015.

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