Launch week offerEnds in00h00m00s

annual Promonthly Pro

Liangzhi Li

Has grant

Specially Appointed Assistant Professor

Osaka University

Japan

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Japan Professors in Computer Vision Computer Vision professors in Japan

Recent Grants

Grant: Close

Risk profiling for cardiovascular diseases using the retinal images

Open Date: 2022-04-01

Close Date: 2026-03-31

Grant: Close

Explainable Artificial Intelligence for Medical Applications

Open Date: 2021-04-01

Close Date: 2023-03-31

Grant: Close

Removing the Burden of Data Labeling: Automatic Surgical Video Understanding with Unsupervised Learning

Open Date: 2020-09-11

Close Date: 2022-03-31

Articles (14)

Year:

2027

Year:

2027

Year:

2027

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Collaborators (2)

Yuta Nakashima

Assistant Professor

Nara Institute of Science and Technology（NAIST）

JAPAN

View details

Hajime Nagahara

Osaka University

JAPAN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Liangzhi Li

Research Interests

Make your next move.

Explore related searches

Recent Grants

Articles (14)

Can Large Language Models Make In-Character Decisions? Evaluating Role Consistency in Open-Ended Decision Making

Can We Trust LLMs for Medical Diagnosis? Evaluating Robustness of Clinical Reasoning Under Perturbation

LegalKQA: A Dataset for Legal Question Rewriter Optimization with Automatic Evaluation Signals

LIBS: Instructional Action Quality Assessment via Supervoxel-Based Fine-Grained Attribution

E-InMeMo: Enhanced Prompting for Visual In-Context Learning

Enhancing Bottleneck Concept Learning in Image Classification

A Semantic Segmentation Method for Skin Lesion Images Based on ViT

WSSS-DM+: Advancing Improvements in Weakly Supervised Semantic Segmentation Using Diffusion Models

Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation

Retrieving Emotional Stimuli in Artworks

Inductive Bias Integration for Transformer Enhancement in Small-scale Segmentation Tasks

Validating Concept Transfer Across Different Datasets

WSSS-DM: Advancing Weakly Supervised Semantic Segmentation by Harnessing Diffusion Models

SARA: Slot Attention for Robust Adversarial Training

Collaborators (2)

Yuta Nakashima

Hajime Nagahara

Make your next move.