Volumetric view planning for 3D reconstruction with multiple manipulators. - Liangzhi Li 001; Nanfeng Xiao (Ind. Robot, 2015)

Everything is Image: CNN-based Short-Term Electrical Load Forecasting for Smart Grid. - Liangzhi Li 001; Kaoru Ota; Mianxiong Dong (ISPAN-FCST-ISCC, 2017)

When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid. - Liangzhi Li 001; Kaoru Ota; Mianxiong Dong (IEEE Commun. Mag., 2017)

Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS). - Hong Tang 003; Liangzhi Li 001; Nanfeng Xiao (Sensors, 2017)

Eyes in the Dark: Distributed Scene Understanding for Disaster Management. - Liangzhi Li 001; Kaoru Ota; Mianxiong Dong; Wuyunzhaola Borjigin (IEEE Trans. Parallel Distributed Syst., 2017)

Enabling 60 GHz Seamless Coverage for Mobile Devices: A Motion Learning Approach. - Liangzhi Li 001; Kaoru Ota; Mianxiong Dong; Christos V. Verikoukis (GLOBECOM, 2018)

Human in the Loop: Distributed Deep Model for Mobile Crowdsensing. - Liangzhi Li 001; Kaoru Ota; Mianxiong Dong (IEEE Internet Things J., 2018)

DeepNFV: A Lightweight Framework for Intelligent Edge Network Functions Virtualization. - Liangzhi Li 001; Kaoru Ota; Mianxiong Dong (IEEE Netw., 2018)

Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing. - Liangzhi Li 001; Kaoru Ota; Mianxiong Dong (IEEE Trans. Ind. Informatics, 2018)

Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles. - Liangzhi Li 001; Kaoru Ota; Mianxiong Dong (IEEE Trans. Veh. Technol., 2018)

Sustainable CNN for Robotic: An Offloading Game in the 3D Vision Computation. - Liangzhi Li 001; Kaoru Ota; Mianxiong Dong (IEEE Trans. Sustain. Comput., 2019)

Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. - Liangzhi Li 001; Manisha Verma; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara (MIDL, 2020)

IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. - Liangzhi Li 001; Manisha Verma; Yuta Nakashima; Hajime Nagahara; Ryo Kawasaki (WACV, 2020)

Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns. - Liangzhi Li 001; Manisha Verma; Bowen Wang 002; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara (CoRR, 2020)

MTUNet: Few-Shot Image Classification With Visual Explanations. - Bowen Wang 002; Liangzhi Li 001; Manisha Verma; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara (CVPR Workshops, 2021)

SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. - Liangzhi Li 001; Bowen Wang 002; Manisha Verma; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara (ICCV, 2021)

Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning. - Bowen Wang 002; Liangzhi Li 001; Yuta Nakashima; Takehiro Yamamoto; Hiroaki Ohshima; Yoshiyuki Shoji; Kenro Aihara; Noriko Kando (ICMR, 2021)

Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation. - Bowen Wang 002; Liangzhi Li 001; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara; Yasushi Yagi (IEEE Access, 2021)

The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods. - 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 001; et al. (CoRR, 2021)

One-shot pruning of gated recurrent unit neural network by sensitivity for time-series prediction. - Hong Tang; Xiangzheng Ling; Liangzhi Li 001; Liyan Xiong; Yu Yao; Xiaohui Huang 003 (Neurocomputing, 2022)

SARA: Slot Attention for Robust Adversarial Training. - Xingfu Cheng; Zhaofeng Niu; Zhouqiang Jiang; Bowen Wang 002; Guangshun Li; Liangzhi Li 001 (ACAI, 2023)

Learning Bottleneck Concepts in Image Classification. - Bowen Wang 002; Liangzhi Li 001; Yuta Nakashima; Hajime Nagahara (CVPR, 2023)

Explaining Federated Learning Through Concepts in Image Classification. - Jiaxin Shen; Xiaoyi Tao; Liangzhi Li 001; Zhiyang Li; Bowen Wang 002 (ICA3PP (5), 2023)

CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care. - Tong Xiang; Liangzhi Li 001; Wangyue Li; Mingbai Bai; Lu Wei; Bowen Wang 002; Noa Garcia (CoRR, 2023)

Improving Facade Parsing with Vision Transformers and Line Integration. - Bowen Wang 002; Jiaxing Zhang; Ran Zhang; Yunqin Li; Liangzhi Li 001; Yuta Nakashima (CoRR, 2023)

Concatenated Masked Autoencoders as Spatial-Temporal Learner. - Zhouqiang Jiang; Bowen Wang 002; Tong Xiang; Zhaofeng Niu; Hong Tang; Guangshun Li; Liangzhi Li 001 (CoRR, 2023)

Towards Robust and Accurate Visual Prompting. - Qi Li; Liangzhi Li 001; Zhouqiang Jiang; Bowen Wang 002 (CoRR, 2023)

Match them up: visually explainable few-shot image classification. - Bowen Wang 002; Liangzhi Li 001; Manisha Verma; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara (Appl. Intell., 2023)

Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory. - Bowen Wang 002; Liangzhi Li 001; Yuta Nakashima; Ryo Kawasaki; Hajime Nagahara (BMC Medical Informatics Decis. Mak., 2023)

WSSS-DM: Advancing Weakly Supervised Semantic Segmentation by Harnessing Diffusion Models. - Chuanguo Shen; Zhaofeng Niu; Bowen Wang 002; Guangshun Li; Liangzhi Li 001 (CNIOT, 2024)

Inductive Bias Integration for Transformer Enhancement in Small-scale Segmentation Tasks. - Lihua Wang; Zhaofeng Niu; Bowen Wang 002; Guangshun Li; Liangzhi Li 001 (CNIOT, 2024)

Validating Concept Transfer Across Different Datasets. - Ruixue Zhang; Zhaofeng Niu; Zhouqiang Jiang; Junhao Chen; Bowen Wang 002; Guangshun Li; Liangzhi Li 001 (CNIOT, 2024)

Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? - Wangyue Li; Liangzhi Li 001; Tong Xiang; Xiao Liu; Wei Deng; Noa Garcia (LREC/COLING, 2024)

Estimating Socioeconomic Proxy Variables Using Multimodal Deep Learning Models. - Yanbing Bai; Zelan Zhu; Huixue Su; Xiao Liu; Liangzhi Li 001 (ICIC (13), 2024)

A Semantic Segmentation Method for Skin Lesion Images Based on ViT. - Zhaofeng Niu; Lihua Wang; Zhouqiang Jiang; Bowen Wang 002; Guangshun Li; Liangzhi Li 001 (ICONIP (8), 2024)

Retrieving Emotional Stimuli in Artworks. - Tianwei Chen; Noa Garcia; Liangzhi Li 001; Yuta Nakashima (ICMR, 2024)

Instruct Me More! Random Prompting for Visual In-Context Learning. - Jiahao Zhang; Bowen Wang 002; Liangzhi Li 001; Yuta Nakashima; Hajime Nagahara (WACV, 2024)

Improving facade parsing with vision transformers and line integration. - Bowen Wang 002; Jiaxin Zhang 018; Ran Zhang; Yunqin Li; Liangzhi Li 001; Yuta Nakashima (Adv. Eng. Informatics, 2024)

Explainable Image Recognition via Enhanced Slot-attention Based Classifier. - Bowen Wang 002; Liangzhi Li 001; Jiahao Zhang; Yuta Nakashima; Hajime Nagahara (CoRR, 2024)

Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language Models. - Xiao Liu; Liangzhi Li 001; Tong Xiang; Fuying Ye; Lu Wei; Wangyue Li; Noa Garcia (CoRR, 2024)

Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation. - Tianwei Chen; Noa Garcia; Liangzhi Li 001; Yuta Nakashima (J. Imaging, 2024)

E-InMeMo: Enhanced Prompting for Visual In-Context Learning. - Jiahao Zhang; Bowen Wang 002; Hong Liu; Liangzhi Li 001; Yuta Nakashima; Hajime Nagahara (CoRR, 2025)

Exploring Visual Prompting: Robustness Inheritance and Beyond. - Qi Li; Liangzhi Li 001; Zhouqiang Jiang; Bowen Wang 002; Keke Tang (CoRR, 2025)