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ORCIDLiangzhi Li 0001
Person information
- affiliation: Osaka University, Osaka, Japan
Other persons with the same name
- Liangzhi Li 0002
![[0000-0002-1513-1498]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1513-1498")
— Chang'an University, Xi'an, China - Liangzhi Li 0003 — Jiangnan University, Design School, Wuxi, China
- Liangzhi Li 0004 — Meetyou AI Lab, Xiamen, China
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2020 – today
- 2024
[j15]Bowen Wang, Jiaxin Zhang, Ran Zhang, Yunqin Li, Liangzhi Li, Yuta Nakashima:
Improving facade parsing with vision transformers and line integration. Adv. Eng. Informatics 60: 102463 (2024)- [j14]Tianwei Chen, Noa Garcia, Liangzhi Li, Yuta Nakashima:
Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation. J. Imaging 10(6): 136 (2024) - [c17]Chuanguo Shen, Zhaofeng Niu, Bowen Wang, Guangshun Li, Liangzhi Li:
WSSS-DM: Advancing Weakly Supervised Semantic Segmentation by Harnessing Diffusion Models. CNIOT 2024 - [c16]Lihua Wang, Zhaofeng Niu, Bowen Wang, Guangshun Li, Liangzhi Li:
Inductive Bias Integration for Transformer Enhancement in Small-scale Segmentation Tasks. CNIOT 2024 - [c15]Ruixue Zhang, Zhaofeng Niu, Zhouqiang Jiang, Junhao Chen, Bowen Wang, Guangshun Li, Liangzhi Li:
Validating Concept Transfer Across Different Datasets. CNIOT 2024 - [c14]Wangyue Li, Liangzhi Li, Tong Xiang, Xiao Liu, Wei Deng, Noa Garcia:
Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? LREC/COLING 2024: 2819-2834 - [c13]Yanbing Bai, Zelan Zhu, Huixue Su, Xiao Liu, Liangzhi Li:
Estimating Socioeconomic Proxy Variables Using Multimodal Deep Learning Models. ICIC (13) 2024: 417-429 - [c12]Tianwei Chen, Noa Garcia, Liangzhi Li, Yuta Nakashima:
Retrieving Emotional Stimuli in Artworks. ICMR 2024: 515-523 - [c11]Jiahao Zhang, Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara:
Instruct Me More! Random Prompting for Visual In-Context Learning. WACV 2024: 2585-2594 - [i16]Wangyue Li, Liangzhi Li, Tong Xiang, Xiao Liu, Wei Deng, Noa Garcia:
Can multiple-choice questions really be useful in detecting the abilities of LLMs? CoRR abs/2403.17752 (2024) - [i15]Bowen Wang, Liangzhi Li, Jiahao Zhang, Yuta Nakashima, Hajime Nagahara:
Explainable Image Recognition via Enhanced Slot-attention Based Classifier. CoRR abs/2407.05616 (2024) - [i14]Xiao Liu, Liangzhi Li, Tong Xiang, Fuying Ye, Lu Wei, Wangyue Li, Noa Garcia:
Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language Models. CoRR abs/2407.15399 (2024) - 2023
- [j13]Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Match them up: visually explainable few-shot image classification. Appl. Intell. 53(9): 10956-10977 (2023) - [j12]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 Decis. Mak. 23(1): 80 (2023) - [c10]Xingfu Cheng, Zhaofeng Niu, Zhouqiang Jiang, Bowen Wang, Guangshun Li, Liangzhi Li:
SARA: Slot Attention for Robust Adversarial Training. ACAI 2023: 97-102 - [c9]Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara:
Learning Bottleneck Concepts in Image Classification. CVPR 2023: 10962-10971 - [c8]Jiaxin Shen, Xiaoyi Tao, Liangzhi Li, Zhiyang Li, Bowen Wang:
Explaining Federated Learning Through Concepts in Image Classification. ICA3PP (5) 2023: 325-340 - [i13]Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara:
Learning Bottleneck Concepts in Image Classification. CoRR abs/2304.10131 (2023) - [i12]Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia:
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care. CoRR abs/2307.01458 (2023) - [i11]Bowen Wang, Jiaxing Zhang, Ran Zhang, Yunqin Li, Liangzhi Li, Yuta Nakashima:
Improving Facade Parsing with Vision Transformers and Line Integration. CoRR abs/2309.15523 (2023) - [i10]Zhouqiang Jiang, Bowen Wang, Tong Xiang, Zhaofeng Niu, Hong Tang, Guangshun Li, Liangzhi Li:
Concatenated Masked Autoencoders as Spatial-Temporal Learner. CoRR abs/2311.00961 (2023) - [i9]Jiahao Zhang, Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara:
Instruct Me More! Random Prompting for Visual In-Context Learning. CoRR abs/2311.03648 (2023) - [i8]Qi Li, Liangzhi Li, Zhouqiang Jiang, Bowen Wang:
Towards Robust and Accurate Visual Prompting. CoRR abs/2311.10992 (2023) - 2022
- [j11]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 512: 15-24 (2022) - 2021
- [j10]Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara, Yasushi Yagi:
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation. IEEE Access 9: 46810-46820 (2021) - [c7]Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
MTUNet: Few-Shot Image Classification With Visual Explanations. CVPR Workshops 2021: 2294-2298 - [c6]Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. ICCV 2021: 1026-1035 - [c5]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. ICMR 2021: 486-490 - [i7]Vivek Singh Bawa, Gurkirt Singh, Francis Kaping'a, 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. CoRR abs/2104.03178 (2021) - 2020
- [c4]Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. MIDL 2020: 440-453 - [c3]Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki:
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. WACV 2020: 3645-3654 - [i6]Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. CoRR abs/2005.13337 (2020) - [i5]Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. CoRR abs/2009.06138 (2020) - [i4]Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara, Yasushi Yagi:
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation. CoRR abs/2010.09466 (2020) - [i3]Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns. CoRR abs/2011.03772 (2020) - [i2]Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Match Them Up: Visually Explainable Few-shot Image Classification. CoRR abs/2011.12527 (2020)
2010 – 2019
- 2019
- [j9]Liangzhi Li, Kaoru Ota, Mianxiong Dong:
Sustainable CNN for Robotic: An Offloading Game in the 3D Vision Computation. IEEE Trans. Sustain. Comput. 4(1): 67-76 (2019) - [i1]Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki:
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. CoRR abs/1912.05763 (2019) - 2018
- [j8]Liangzhi Li, Kaoru Ota, Mianxiong Dong:
Human in the Loop: Distributed Deep Model for Mobile Crowdsensing. IEEE Internet Things J. 5(6): 4957-4964 (2018) - [j7]Liangzhi Li, Kaoru Ota, Mianxiong Dong:
DeepNFV: A Lightweight Framework for Intelligent Edge Network Functions Virtualization. IEEE Netw. 33(1): 136-141 (2018) - [j6]Liangzhi Li, Kaoru Ota, Mianxiong Dong:
Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing. IEEE Trans. Ind. Informatics 14(10): 4665-4673 (2018) - [j5]Liangzhi Li, Kaoru Ota, Mianxiong Dong:
Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles. IEEE Trans. Veh. Technol. 67(8): 6814-6823 (2018) - [c2]Liangzhi Li, Kaoru Ota, Mianxiong Dong, Christos V. Verikoukis:
Enabling 60 GHz Seamless Coverage for Mobile Devices: A Motion Learning Approach. GLOBECOM 2018: 1-6 - 2017
- [j4]Liangzhi Li, Kaoru Ota, Mianxiong Dong:
When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid. IEEE Commun. Mag. 55(10): 46-51 (2017) - [j3]Hong Tang, Liangzhi Li, Nanfeng Xiao:
Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS). Sensors 17(2): 393 (2017) - [j2]Liangzhi Li, Kaoru Ota, Mianxiong Dong, Wuyunzhaola Borjigin:
Eyes in the Dark: Distributed Scene Understanding for Disaster Management. IEEE Trans. Parallel Distributed Syst. 28(12): 3458-3471 (2017) - [c1]Liangzhi Li, Kaoru Ota, Mianxiong Dong:
Everything is Image: CNN-based Short-Term Electrical Load Forecasting for Smart Grid. ISPAN-FCST-ISCC 2017: 344-351 - 2015
- [j1]Liangzhi Li, Nanfeng Xiao:
Volumetric view planning for 3D reconstruction with multiple manipulators. Ind. Robot 42(6): 533-543 (2015)
Coauthor Index
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