Hui Chen

I am a Research Fellow in the School of Computing in National University of Singapore, where I am fortunate to be advised by Bryan Hooi. My research focuses on natural language processing, machine learning and large language models.

Previously, I worked at Nanyang Technological University and received my Ph.D. degree in Computer Science from Singapore University of Technology and Design. I graduated with a B.Eng. degree in Computer Science and Technology from Zhejiang University.

I am currently working on AI for scientific research and LLM agents. Feel free to chat if you are also interested in these topics!

Email  /  Resume  /  Google Scholar  /  GitHub  /  X

Research

MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research

PREMISE: Matching-based Prediction for Accurate Review Recommendation

Self-Adaptive Sampling for Efficient Video Question Answering

InstructCoder: Instruction Tuning Large Language Models for Code Editing

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction

SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training

SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning

MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences

DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification

Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis

Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

Persuasive Dialogue Understanding: the Baselines and Negative Results

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

Academic Service

Workshop Organization

Area Chair

Program Committee / Reviewer

Design and source code from Jon Barron's website and Leonid Keselman's fork