Author

Estrid He

Observed name: He, Estrid

Institution: RMIT University

Observed institution: RMIT University

ORCID: 0000-0002-8994-9532

Observed ORCID: 0000-0002-8994-9532

OpenAlex ID: A5113347812

Learning on Multimodal Graphs

2026 · Ciyuan Peng, Estrid He, et al. · IEEE Intelligent Systems · 19

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mBGT: Encoding Brain Signals With Multimodal Brain Graph Transformer

2024 · Ciyuan Peng, Tianqi Guo, et al. · IEEE Transactions on Consumer Electronics · 11

FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks

2024 · Renqiang Luo, Huafei Huang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 10

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Deep Contrastive Unlearning for Language Models

2025 · He, Estrid, Sarwar, Tabinda, et al. · arXiv (Cornell University) · 3

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Evaluating Position Bias in Large Language Model Recommendations

2025 · Bito, Ethan, Ren, Yongli, et al. · arXiv (Cornell University) · 2

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

2026 · Ethan Bito, Yongli Ren, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 1

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

2026 · Vy Nguyen, Ziqi Xu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1

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

2025 · Nguyen, Vy, Xu, Ziqi, et al. · arXiv (Cornell University) · 1

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The Commit-Abstain Circuit: Why Language Models Hallucinate Instead of Abstaining

2026 · Nguyen, Vy, Xu, Ziqi, et al. · arXiv (Cornell University)

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Position Bias Undermines Preference Consistency in Listwise LLM-Based Reranking

2026 · Ethan Bito, Yongli Ren, et al. · ACM Conference on Recommender Systems (RecSys)

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

2026 · Association for Artificial Intelligence 2026, Chan, Jeffrey, et al. · Underline Science Inc.

Graph-Guided Selective Unlearning for Language Models: Controlling Support Routes Beyond Forget Seeds

2026 · Waqas Khan, Tabinda Sarwar, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

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Twin Worlds: Equivariance-Based Abstention for Evidence-Grounded Reasoning

2026 · Vy Nguyen, Ziqi Xu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

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LatentRiskBench: Measuring State-Dependent Risks in Enterprise Agents

2026 · Jingyue Cong, Estrid He, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

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Decouple to Forget: Semantic Mediation for Sensitive Unlearning in Large Language Models

2026 · Jingyue Cong, Andy Song, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

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Works count: 15

Citation count: 48

H-index: 3

I10-index: 3