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Two Generative Design Methods of Hospital Operating Department Layouts Based on Healthcare Systematic Layout Planning and Generative Adversarial Network

Published in Journal of Shanghai Jiaotong University (Science), 2021

Two intelligent design processes based on healthcare systematic layout planning (HSLP) and generative adversarial network (GAN) are proposed in this paper, which aim to solve the generation problem of the plane functional layout of the operating departments (ODs) of general hospitals.

Generation of Hospital Emergency Department Layouts Based on Generative Adversarial Networks

Published in Journal of Building Engineering, 2021

This paper takes the functional layout of the emergency departments (EDs) of general hospitals as the research object, combines the hierarchical design concepts and proposes an intelligent functional layout generation method for EDs. It aims to explore the application of intelligent algorithms in architectural design and build an intelligent design method to solve the generation problem of ED layouts.

Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations

Published in arXiv preprint, 2022

In order to expand the information that Pretrained Language Models can utilize, we encode topic and dialogue history information using certain prompts with multiple channels of Fusion-in-Decoder (FiD) and explore the influence of three different channel settings.

Improving Chinese Named Entity Recognition by Search Engine Augmentation

Published in arXiv preprint, 2022

We propose a neural-based approach to perform semantic augmentation using external knowledge from search engine for Chinese NER.

Generative Diffusion Models on Graphs: Methods and Applications

Published in IJCAI 2023, 2023

In this paper, we first provide a comprehensive overview of generative diffusion models on graphs, In particular, we review representative algorithms for three variants of graph diffusion models, i.e., Score Matching with Langevin Dynamics (SMLD), Denoising Diffusion Probabilistic Model (DDPM), and Score-based Generative Model (SGM). Then, we summarize the major applications of generative diffusion models on graphs with a specific focus on molecule and protein modeling. Finally, we discuss promising directions in generative diffusion models on graph-structured data.

Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing

Published in ACL 2023, 2023

Narrative Framing

MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition

Published in CCL 2024, 2024

TIn this paper, we propose a new method, Multi-Feature Fusion Embedding for Chinese Named Entity Recognition (MFE-NER), to strengthen the language pattern of Chinese and handle the character substitution problem in Chinese Named Entity Recognition.

Fast graph condensation with structure-based neural tangent kernel

Published in WWW 2024, 2024

Graph Condensation

Chemllm: A chemical large language model

Published in arXiv preprint, 2024

Molecule Discovery, Large Language Models

Recommender Systems in the Era of Large Language Models (LLMs)

Published in IEEE TKDE, 2024

Recommender Systems, Large Language Models

Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective

Published in IEEE TKDE, 2024

Molecule Discovery, Large Language Models

Search Engine Augmented Chinese Named Entity Recognition for Big Data Content Security

Published in CBDCom 2025, 2025

Chinese Named Entity Recognition, Search Engine Augmentation

Large Language Models are In-Context Molecule Learners

Published in IEEE TKDE, 2025

Molecule Discovery, Large Language Models

Llama-berry: Pairwise optimization for o1-like olympiad-level mathematical reasoning

Published in NAACL 2025, 2025

Large Language Models, Reasoning

Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning

Published in CVPR 2025, 2025

Vision Large Language Models, Reasoning

Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery

Published in arXiv preprint, 2025

Molecule Discovery, Large Language Models

CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics

Published in ICLR 2026, 2026

Large Language Models, Benchmark

IAG: Input-Aware Backdoor Attack on VLM-Based Visual Grounding

Published in CVPR 2026, 2026

Vision Language Models, Security

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts

Published in IEEE TKDE, 2026

Molecule Discovery, Large Language Models

Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation

Published in KDD 2026, 2026

Molecule Discovery, Large Language Models

Chem-R: Learning to Reason as a Chemist

Published in KDD 2026, 2026

Molecule Discovery, Large Language Models, Reasoning

MolViBench: Evaluating LLMs on Molecular Vibe Coding

Published in arXiv preprint, 2026

Molecule Discovery, Large Language Models

Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis

Published in arXiv preprint, 2026

Molecular generalization, structural perturbation, and local trust regions

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning

Published in Machine Intelligence Research, 2026

Medical reasoning, clinical competency, and large language models

Chemical Chain-of-Thought Functions as a Hallucination-Prone Molecular Scratchpad

Published in arXiv preprint, 2026

Chemical reasoning, chain-of-thought faithfulness, and molecular hallucination

Recommender Systems in the Era of Large Language Models (LLMs) Permalink

Published: December 01, 2023

Wenqi Fan, Jiatong Li, Zihuai Zhao, Yunqing Liu, Yiqi Wang

LLM Reasoning on Medicine: Challenges, Opportunities, and Future Permalink

Published: September 01, 2025

An INLG 2025 workshop focused on the challenges, opportunities, and future of large-language-model reasoning in medicine.

COMP4434 Big Data Analytics

Teaching Assistant, The Hong Kong Polytechnic University, Department of Computing, 2024

I served as a teaching assistant for COMP4434 Big Data Analytics in 2023/24 Semester 2.

COMP6703 Advanced Topics in Data Analytics

Teaching Assistant, The Hong Kong Polytechnic University, Department of Computing, 2024

I served as a teaching assistant for COMP6703 Advanced Topics in Data Analytics in 2024/25 Semester 1. I worked with Prof. Hongxia Yang to deliver course content and support students with assignments and projects.

COMP6713 Advanced Large Language Models and Beyond

Teaching Assistant, The Hong Kong Polytechnic University, Department of Computing, 2025

I served as a teaching assistant for COMP6713 Advanced Large Language Models and Beyond in 2024/25 Semester 2.

COMP2411 Database Systems

Teaching Assistant, The Hong Kong Polytechnic University, Department of Computing, 2025

I served as a teaching assistant for COMP2411 Database Systems in 2023/24 Semester 1 and 2025/26 Semester 1.