Liangzhi Li

Orcid: 0000-0002-8879-5957

Affiliations:
  • Osaka University, Osaka, Japan


According to our database1, Liangzhi Li authored at least 40 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation.
J. Imaging, June, 2024

Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language Models.
CoRR, 2024

Explainable Image Recognition via Enhanced Slot-attention Based Classifier.
CoRR, 2024

Improving facade parsing with vision transformers and line integration.
Adv. Eng. Informatics, 2024

Instruct Me More! Random Prompting for Visual In-Context Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Retrieving Emotional Stimuli in Artworks.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Estimating Socioeconomic Proxy Variables Using Multimodal Deep Learning Models.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Validating Concept Transfer Across Different Datasets.
Proceedings of the 2024 5th International Conference on Computing, 2024

Inductive Bias Integration for Transformer Enhancement in Small-scale Segmentation Tasks.
Proceedings of the 2024 5th International Conference on Computing, 2024

WSSS-DM: Advancing Weakly Supervised Semantic Segmentation by Harnessing Diffusion Models.
Proceedings of the 2024 5th International Conference on Computing, 2024

2023
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., December, 2023

Match them up: visually explainable few-shot image classification.
Appl. Intell., May, 2023

Towards Robust and Accurate Visual Prompting.
CoRR, 2023

Concatenated Masked Autoencoders as Spatial-Temporal Learner.
CoRR, 2023

Improving Facade Parsing with Vision Transformers and Line Integration.
CoRR, 2023

CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care.
CoRR, 2023

Explaining Federated Learning Through Concepts in Image Classification.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Learning Bottleneck Concepts in Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SARA: Slot Attention for Robust Adversarial Training.
Proceedings of the 6th International Conference on Algorithms, 2023

2022
One-shot pruning of gated recurrent unit neural network by sensitivity for time-series prediction.
Neurocomputing, 2022

2021
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods.
CoRR, 2021

Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation.
IEEE Access, 2021

Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MTUNet: Few-Shot Image Classification With Visual Explanations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns.
CoRR, 2020

IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019
Sustainable CNN for Robotic: An Offloading Game in the 3D Vision Computation.
IEEE Trans. Sustain. Comput., 2019

2018
Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles.
IEEE Trans. Veh. Technol., 2018

Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing.
IEEE Trans. Ind. Informatics, 2018

DeepNFV: A Lightweight Framework for Intelligent Edge Network Functions Virtualization.
IEEE Netw., 2018

Human in the Loop: Distributed Deep Model for Mobile Crowdsensing.
IEEE Internet Things J., 2018

Enabling 60 GHz Seamless Coverage for Mobile Devices: A Motion Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Eyes in the Dark: Distributed Scene Understanding for Disaster Management.
IEEE Trans. Parallel Distributed Syst., 2017

Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS).
Sensors, 2017

When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid.
IEEE Commun. Mag., 2017

Everything is Image: CNN-based Short-Term Electrical Load Forecasting for Smart Grid.
Proceedings of the 14th International Symposium on Pervasive Systems, 2017

2015
Volumetric view planning for 3D reconstruction with multiple manipulators.
Ind. Robot, 2015


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