Liangzhi Li - RankMe

55 papers A* 2A 2B 5Journal 35Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LIBS: Instructional Action Quality Assessment via Supervoxel-Based Fine-Grained Attribution. IEEE Trans. Computers Xiaoyi Tao, Dongxu Ma, Liangzhi Li, Manisha Verma, Lei Chen, Xin Xie, Sheng Chen, Wenxin Li, Jien Kato, Bing Zhang, Xu Hu, Xiulong Liu
2025	J	`jnl`	E-InMeMo: Enhanced Prompting for Visual In-Context Learning. CoRR Jiahao Zhang, Bowen Wang, Hong Liu, Liangzhi Li, Yuta Nakashima, Hajime Nagahara
2025	J	`jnl`	E-InMeMo: Enhanced Prompting for Visual In-Context Learning. J. Imaging Jiahao Zhang, Bowen Wang, Hong Liu, Liangzhi Li, Yuta Nakashima, Hajime Nagahara
2025	J	`jnl`	Exploring Visual Prompting: Robustness Inheritance and Beyond. CoRR Qi Li, Liangzhi Li, Zhouqiang Jiang, Bowen Wang, Keke Tang
2025	B	`conf`	Role-Playing in Vision-Language Models: A Comprehensive Evaluation of Image Description Performance. IJCNN Zhaofeng Niu, Xiaoya Chang, Bowen Wang, Xingfu Cheng, Guangshun Li, Liangzhi Li
2025	B	`conf`	Towards Open-World Video Segmentation via Iterative Automatic Prompting. IJCNN Liangzhi Li, Xinru Li, Zhouqiang Jiang, Xingfu Cheng, Zhaofeng Niu, Bowen Wang, Guangshun Li
2024	—	`conf`	A Semantic Segmentation Method for Skin Lesion Images Based on ViT. ICONIP (8) Zhaofeng Niu, Lihua Wang, Zhouqiang Jiang, Bowen Wang, Guangshun Li, Liangzhi Li
2024	—	`conf`	Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? LREC/COLING Wangyue Li, Liangzhi Li, Tong Xiang, Xiao Liu, Wei Deng, Noa Garcia
2024	J	`jnl`	Can multiple-choice questions really be useful in detecting the abilities of LLMs? CoRR Wangyue Li, Liangzhi Li, Tong Xiang, Xiao Liu, Wei Deng, Noa Garcia
2024	—	`conf`	Estimating Socioeconomic Proxy Variables Using Multimodal Deep Learning Models. ICIC (13) Yanbing Bai, Zelan Zhu, Huixue Su, Xiao Liu, Liangzhi Li
2024	J	`jnl`	Explainable Image Recognition via Enhanced Slot-attention Based Classifier. CoRR Bowen Wang, Liangzhi Li, Jiahao Zhang, Yuta Nakashima, Hajime Nagahara
2024	J	`jnl`	Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation. J. Imaging Tianwei Chen, Noa Garcia, Liangzhi Li, Yuta Nakashima
2024	J	`jnl`	Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language Models. CoRR Xiao Liu, Liangzhi Li, Tong Xiang, Fuying Ye, Lu Wei, Wangyue Li, Noa Garcia
2024	J	`jnl`	Improving facade parsing with vision transformers and line integration. Adv. Eng. Informatics Bowen Wang, Jiaxin Zhang, Ran Zhang, Yunqin Li, Liangzhi Li, Yuta Nakashima
2024	—	`conf`	Inductive Bias Integration for Transformer Enhancement in Small-scale Segmentation Tasks. CNIOT Lihua Wang, Zhaofeng Niu, Bowen Wang, Guangshun Li, Liangzhi Li
2024	A	`conf`	Instruct Me More! Random Prompting for Visual In-Context Learning. WACV Jiahao Zhang, Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara
2024	B	`conf`	Retrieving Emotional Stimuli in Artworks. ICMR Tianwei Chen, Noa Garcia, Liangzhi Li, Yuta Nakashima
2024	—	`conf`	Validating Concept Transfer Across Different Datasets. CNIOT Ruixue Zhang, Zhaofeng Niu, Zhouqiang Jiang, Junhao Chen, Bowen Wang, Guangshun Li, Liangzhi Li
2024	—	`conf`	WSSS-DM: Advancing Weakly Supervised Semantic Segmentation by Harnessing Diffusion Models. CNIOT Chuanguo Shen, Zhaofeng Niu, Bowen Wang, Guangshun Li, Liangzhi Li
2023	J	`jnl`	CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care. CoRR Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia
2023	J	`jnl`	Concatenated Masked Autoencoders as Spatial-Temporal Learner. CoRR Zhouqiang Jiang, Bowen Wang, Tong Xiang, Zhaofeng Niu, Hong Tang, Guangshun Li, Liangzhi Li
2023	—	`conf`	Explaining Federated Learning Through Concepts in Image Classification. ICA3PP (5) Jiaxin Shen, Xiaoyi Tao, Liangzhi Li, Zhiyang Li, Bowen Wang
2023	J	`jnl`	Improving Facade Parsing with Vision Transformers and Line Integration. CoRR Bowen Wang, Jiaxing Zhang, Ran Zhang, Yunqin Li, Liangzhi Li, Yuta Nakashima
2023	J	`jnl`	Instruct Me More! Random Prompting for Visual In-Context Learning. CoRR Jiahao Zhang, Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara
2023	A*	`conf`	Learning Bottleneck Concepts in Image Classification. CVPR Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara
2023	J	`jnl`	Learning Bottleneck Concepts in Image Classification. CoRR Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara
2023	J	`jnl`	Match them up: visually explainable few-shot image classification. Appl. Intell. Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2023	J	`jnl`	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. Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2023	—	`conf`	SARA: Slot Attention for Robust Adversarial Training. ACAI Xingfu Cheng, Zhaofeng Niu, Zhouqiang Jiang, Bowen Wang, Guangshun Li, Liangzhi Li
2023	J	`jnl`	Towards Robust and Accurate Visual Prompting. CoRR Qi Li, Liangzhi Li, Zhouqiang Jiang, Bowen Wang
2022	J	`jnl`	One-shot pruning of gated recurrent unit neural network by sensitivity for time-series prediction. Neurocomputing Hong Tang, Xiangzheng Ling, Liangzhi Li, Liyan Xiong, Yu Yao, Xiaohui Huang
2021	B	`conf`	Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning. ICMR Bowen Wang, Liangzhi Li, Yuta Nakashima, Takehiro Yamamoto, Hiroaki Ohshima, Yoshiyuki Shoji, Kenro Aihara, Noriko Kando
2021	—	`conf`	MTUNet: Few-Shot Image Classification With Visual Explanations. CVPR Workshops Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2021	J	`jnl`	Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation. IEEE Access Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara, Yasushi Yagi
2021	A*	`conf`	SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. ICCV Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2021	J	`jnl`	The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods. CoRR 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
2020	J	`jnl`	Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns. CoRR Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2020	A	`conf`	IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. WACV Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki
2020	—	`conf`	Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. MIDL Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2020	J	`jnl`	Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. CoRR Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2020	J	`jnl`	Match Them Up: Visually Explainable Few-shot Image Classification. CoRR Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2020	J	`jnl`	Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation. CoRR Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara, Yasushi Yagi
2020	J	`jnl`	SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. CoRR Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
2019	J	`jnl`	IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. CoRR Liangzhi Li, Manisha Verma, Yuta Nakashima, Hajime Nagahara, Ryo Kawasaki
2019	J	`jnl`	Sustainable CNN for Robotic: An Offloading Game in the 3D Vision Computation. IEEE Trans. Sustain. Comput. Liangzhi Li, Kaoru Ota, Mianxiong Dong
2018	J	`jnl`	Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing. IEEE Trans. Ind. Informatics Liangzhi Li, Kaoru Ota, Mianxiong Dong
2018	J	`jnl`	DeepNFV: A Lightweight Framework for Intelligent Edge Network Functions Virtualization. IEEE Netw. Liangzhi Li, Kaoru Ota, Mianxiong Dong
2018	B	`conf`	Enabling 60 GHz Seamless Coverage for Mobile Devices: A Motion Learning Approach. GLOBECOM Liangzhi Li, Kaoru Ota, Mianxiong Dong, Christos V. Verikoukis
2018	J	`jnl`	Human in the Loop: Distributed Deep Model for Mobile Crowdsensing. IEEE Internet Things J. Liangzhi Li, Kaoru Ota, Mianxiong Dong
2018	J	`jnl`	Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles. IEEE Trans. Veh. Technol. Liangzhi Li, Kaoru Ota, Mianxiong Dong
2017	—	`conf`	Everything is Image: CNN-based Short-Term Electrical Load Forecasting for Smart Grid. ISPAN-FCST-ISCC Liangzhi Li, Kaoru Ota, Mianxiong Dong
2017	J	`jnl`	Eyes in the Dark: Distributed Scene Understanding for Disaster Management. IEEE Trans. Parallel Distributed Syst. Liangzhi Li, Kaoru Ota, Mianxiong Dong, Wuyunzhaola Borjigin
2017	J	`jnl`	Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS). Sensors Hong Tang, Liangzhi Li, Nanfeng Xiao
2017	J	`jnl`	When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid. IEEE Commun. Mag. Liangzhi Li, Kaoru Ota, Mianxiong Dong
2015	J	`jnl`	Volumetric view planning for 3D reconstruction with multiple manipulators. Ind. Robot Liangzhi Li, Nanfeng Xiao