Estrid He RMIT University

Selected Publications

For the complete and most up-to-date list, visit my Google Scholar profile.

View Google Scholar

2026

SIGIR

One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation

Ethan Bito, Yongli Ren, and Estrid He

In 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2026

RecSys

Position Bias Undermines Preference Consistency in Listwise LLM-Based Reranking

Ethan Bito, Yongli Ren, and Estrid He

In ACM Conference on Recommender Systems, 2026

INTERSPEECH

I Am No One: Style-Aware Paraphrasing for Text Anonymization

Ahmed Sohair Khan, Estrid He, Monica Wachowicz, and Elham Naghizade

In INTERSPEECH, 2026

SIGSPATIAL

Do We Still Need Gazetteers in the Era of LLMs? Chaining Retrieval with a Spatial Neuro-Symbolic Index

Alexis Horde Vo, Estrid He, and Matt Duckham

In ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2026

IEEE Intelligent Systems

Learning on Multimodal Graphs

Ciyuan Peng, Estrid He, and Feng Xia

IEEE Intelligent Systems, 2026

PDF
Journal of Cheminformatics

AdaptMol: Domain Adaptation for Molecular Image Recognition with Limited Supervision

Feng Hu, Estrid He, and Karin Verspoor

Journal of Cheminformatics, 2026

AAAI

Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models

Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, and Xiuzhen Zhang

In 40th Annual AAAI Conference on Artificial Intelligence, 2026

2025

Multimedia Systems ยท Q1

ConASD: Contrastive Few Shot Learning for Detecting Autism Spectrum Disorder via Eye Tracking Scanpath

Sharifah Mousli, Sona Taheri, and Estrid He

Multimedia Systems, 2025

PDF
Preprint

Evaluating Position Bias in Large Language Model Recommendations

Ethan Bito, Yongli Ren, and Estrid He

arXiv preprint, 2025

Research Synthesis Methods

A Comprehensive Systematic Review Dataset Is a Rich Resource for Training and Evaluation of AI Systems for Title and Abstract Screening

Gary C. K. Chan, Estrid He, Janni Leung, and Karin Verspoor

Research Synthesis Methods, 2025

2024

NAACL

Principles from Clinical Research for NLP Model Generalization

Aparna Elangovan, Estrid He, Yuan Li, and Karin Verspoor

In Conference of the North American Chapter of the Association for Computational Linguistics, 2024

IEEE TCE

mBGT: Encoding Brain Signals with Multimodal Brain Graph Transformer

Ciyuan Peng, Tianqi Guo, Chengyao Xie, Xiaomei Bai, Jingjing Zhou, Xiaohui Zhao, Estrid He, and Feng Xia

IEEE Transactions on Consumer Electronics, 2024

KDD

FuGNN: Harmonizing Fairness and Utility in Graph Neural Networks

Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, and Feng Xia

In 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

IEEE TKDE

Focused Contrastive Loss for Classification with Pre-trained Language Models

Estrid He, Yuan Li, Zenan Zhai, Biaoyan Fang, Camilo Thorne, Christian Druckenbrodt, Saber Akhondi, and Karin Verspoor

IEEE Transactions on Knowledge and Data Engineering, 2023

EMNLP

Effects of Human Adversarial and Affable Samples on BERT Generalization

Aparna Elangovan, Estrid He, Yuan Li, and Karin Verspoor

In Conference on Empirical Methods in Natural Language Processing, 2023

JLT

Evolution of Short-Range Optical Wireless Communications

Ke Wang, Tingting Song, Yitong Wang, Chengwei Fang, Estrid He, Ampalavanapillai Nirmalathas, Christina Lim, Elaine Wong, and Sithamparanathan Kandeepan

Journal of Lightwave Technology, 2023

Earlier Representative Work

ChEMU 2020: Natural language processing methods are effective for information extraction from chemical patents

Estrid He, Dat Quoc Nguyen, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, et al.

Frontiers in Research Metrics and Analytics, 2021

ChEMU 2021: reaction reference resolution and anaphora resolution in chemical patents

Estrid He, Biaoyan Fang, Hiyori Yoshikawa, Yuan Li, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Lawrence Cavedon, et al.

In European Conference on Information Retrieval, 2021

Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation

Aparna Elangovan, Estrid He, and Karin Verspoor

In Conference of the European Chapter of the Association for Computational Linguistics, 2021

ChEMU-ref: A corpus for modeling anaphora resolution in the chemical domain

Biaoyan Fang, Christian Druckenbrodt, Saber A. Akhondi, Estrid He, Timothy Baldwin, and Karin Verspoor

In 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

A Joint Context-Aware Embedding for Trip Recommendations

Estrid He, Jianzhong Qi, and Kotagiri Ramamohanarao

In 35th IEEE International Conference on Data Engineering, 2019

Continuous Spatial Query Processing: A Survey of Safe Region Based Techniques

Jianzhong Qi, Rui Zhang, Christian S. Jensen, Kotagiri Ramamohanarao, and Estrid He

ACM Computing Surveys, 2018