Researcher Database

（Last updated : 2026-07-06 16:34:31）　

LIU JIAQING

Department / Course College of Information Science and Engineering Department of Information Science and Engineering

Title / Position Lecturer

Click to view the Scopus page. The data was downloaded from Scopus API on Oct 12, 2026. via http://api.elsevier.com and http://www.scopus.com .

Other Affiliations
1.	College of Information Science and Engineering Department of Information Science and Engineering

Academic background
1.	2018/10/01～2021/09/25	Doctoral Program (2nd Semester) │ Graduate School, Division of Information Science │ Ritsumeikan University │ Completed

Business career
1.	2026/04/01 ～	Lecturer │ │
2.	2022/04/01 ～ 2026/03/31	Assistant Professor │ │
3.	2021/10/01 ～ 2022/03/31	Project Assistant Professor │ │

Present specialized field

Books
1.	2021/09/18	Computer-aided Detection of Depressive Severity Using Multimodal Behavioral Data │ ,pp.353-371

Papers
1.	2026/07/02	Disentangled Multimodal Tuning and Interaction for Human Perception Understanding │ ACM Transactions on Multimedia Computing, Communications and Applications │ (3828163)
2.	2026/06/12	Retrieval-Augmented Visual Prompting with Text-Guidance for Pathological Image Classification │ IEEE Journal of Biomedical and Health Informatics │ early access
3.	2026/06	Retrieval-augmented multimodal deep learning for interpretable lung nodule malignancy prediction, │ Displays │ 95 (103525)
4.	2026/05/15	Multimodal Brownian Bridge Diffusion Model for Controllable Synthetic Medical Image Generation │ Biomedical Signal Processing and Control │ 117
5.	2026/04/15	Integrating text and medical images for segmentation using interpretable graph neural network, │ Biomedical Signal Processing and Control │ 115
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Academic conference presentation
1.	2026/05/25	Interpretable Multimodal Depression Detection via LLM-Based Reasoning
2.	2026/05/06	A Text-Image Fusion Method with Data Augmentation Capabilities for Referring Medical Image Segmentation
3.	2026/05/06	Dynamic Summary Generation for Interpretable Multimodal Depression Detection
4.	2025/09	Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction,
5.	2025/07	CoordConv-ControlDDPM: A Text-Guided Approach to Medical Imåage Augmentation for Improved Segmentation
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Works
1.	2025/07	Multimodal AI for Depression Detection: Advances in Emotion Understanding and Model Interpretability
2.	2025/03	Advancing Depression Detection with AI
3.	2023/03/17	Multimodal Deep Learning in Depression Estimation
4.	2022/08	Multimodal Deep Learning in Healthcare