collaborators

8 papers

cs.CE2026

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.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.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.IR2026

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…