2025

A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions

Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies

Zirui Song*, Guangxian Ouyang*, Meng Fang*, Hongbin Na, Zijing Shi, Zhenhao Chen, Yujie Fu, Zeyu Zhang, Shiyu Jiaying, Miao Fang, Ling Chen, Xiuying Chen
NAACL 2025

Detecting Conversational Mental Manipulation with Intent-Aware Prompting

COLING 2025
Best Short Paper Award

2024

MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models

Beibei Yu, Tao Shen, Hongbin Na, Ling Chen, Denqi Li

Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection

Jianfei He, Lilin Wang, Jiaying Wang, Zhenyu Liu, Hongbin Na, Zimu Wang, Wei Wang, Qi Chen
IEEE UIC 2024

Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy

Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks

Large Language Models in Mental Health Care: A Scoping Review

Yining Hua, Fenglin Liu, Kailai Yang, Zehan Li, Hongbin Na, Yi-han Sheu, Peilin Zhou, Lauren V Moran, Sophia Ananiadou, David Clifton, Andrew Beam, John Torous

Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation

Hongbin Na, Zimu Wang, Mieradilijiang Maimaiti, Tong Chen, Wei Wang, Tao Shen, Ling Chen

CBT-LLM: A Chinese Large Language Model for Cognitive Behavioral Therapy-based Mental Health Question Answering

2023

Attention-Based Multimodal Bilinear Feature Fusion for Lung Cancer Survival Analysis

Hongbin Na*, Lilin Wang*, Xinyao Zhuang, Jianfei He, Zhenyu Liu, Zimu Wang, Hong-Seng Gan