collaborators

8 papers

cs.IR2026

Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation

Shijie Wang, Chengyi Liu, Yujuan Ding +4

Large language models (LLMs) have recently been adopted for recommendations due to their ability to understand user intent and item semantics. However, LLM-based recommender system…

cs.CV2026

OphIn-500K: Curating Web-Scale Visual Instructions for Scaling Ophthalmic Multimodal Large Language Models

Xuanzhao Dong, Wenhui Zhu, Xiwen Chen +13

The advancement of general medical Multimodal Large Language Models (MLLMs) has shown great potential for building conversational assistants to support clinical diagnosis. However,…

cs.IR2026

PriHA: A RAG-Enhanced LLM Framework for Primary Healthcare Assistant in Hong Kong

Richard Wai Cheung Chan, Shanru Lin, Ya-nan Ma +3

To address the unsustainable rise in public health expenditures, the Hong Kong SAR Government is shifting its strategic focus to primary healthcare and encouraging citizens to use…

cs.AI2026

Beyond Description: A Multimodal Agent Framework for Insightful Chart Summarization

Yuhang Bai, Yujuan Ding, Shanru Lin +1

Chart summarization is crucial for enhancing data accessibility and the efficient consumption of information. However, existing methods, including those with Multimodal Large Langu…

cs.CV2026

SUPERGLASSES: Benchmarking Vision Language Models as Intelligent Agents for AI Smart Glasses

Zhuohang Jiang, Xu Yuan, Haohao Qu +4

The rapid advancement of AI-powered smart glasses-one of the hottest wearable devices-has unlocked new frontiers for multimodal interaction, with Visual Question Answering (VQA) ov…

cs.CE2025

HD-Prot: A Protein Language Model for Joint Sequence-Structure Modeling with Continuous Structure Tokens

Yi Zhou, Haohao Qu, Yunqing Liu +3

Proteins inherently possess a consistent sequence-structure duality. The abundance of protein sequence data, which can be readily represented as discrete tokens, has driven fruitfu…

cs.IR2025

Diffusion Generative Recommendation with Continuous Tokens

Haohao Qu, Shanru Lin, Yujuan Ding +2

Recent advances in generative artificial intelligence, particularly large language models (LLMs), have opened new opportunities for enhancing recommender systems (RecSys). Most exi…

cs.AI2025

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models

Liangbo Ning, Ziran Liang, Zhuohang Jiang +8

With the advancement of web techniques, they have significantly revolutionized various aspects of people's lives. Despite the importance of the web, many tasks performed on it are…