Estrid He

17 papers A* 2B 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
Agent-Based Detection and Resolution of Incompleteness and Ambiguity in Interactions with Large Language Models.
ICAART (1)
Riya Naik, Ashwin Srinivasan, Swati Agarwal, Estrid He
2026 — conf
Characterization and Detection of Incompleteness and Ambiguity in Multi-Turn Interactions with LLMs.
ICAART (2)
Riya Naik, Ashwin Srinivasan, Swati Agarwal, Estrid He
2026 A* conf
Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models.
AAAI
Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang
2026 J jnl
Learning on Multimodal Graphs.
IEEE Intell. Syst.
Ciyuan Peng, Estrid He, Feng Xia
2025 — conf
A Hybrid Generative Model based on Diffusion and Graphs for Cross-Correlated Synthetic Multivariate Time Series Data.
UbiComp Companion
Julián Jerónimo Bañuelos, Estrid He, José Costa-Requena, Flora Salim, Stephan Sigg
2025 J jnl
Agent-Based Detection and Resolution of Incompleteness and Ambiguity in Interactions with Large Language Models.
CoRR
Riya Naik, Ashwin Srinivasan, Swati Agarwal, Estrid He
2025 J jnl
An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models.
CoRR
Riya Naik, Ashwin Srinivasan, Estrid He, Swati Agarwal
2025 J jnl
ConASD: Contrastive Few Shot Learning for Detecting Autism Spectrum Disorder via Eye Tracking Scanpath.
Multim. Syst.
Sharifah Mousli, Sona Taheri, Estrid He
2025 J jnl
Deep Contrastive Unlearning for Language Models.
CoRR
Estrid He, Tabinda Sarwar, Ibrahim Khalil, Xun Yi, Ke Wang
2025 J jnl
Evaluating Position Bias in Large Language Model Recommendations.
CoRR
Ethan Bito, Yongli Ren, Estrid He
2025 J jnl
Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models.
CoRR
Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang
2025 J jnl
Identifying Origins of Place Names via Retrieval Augmented Generation.
CoRR
Alexis Horde-Vo, Matt Duckham, Estrid He, Rafe Benli
2025 B conf
MPC-XGB: Privacy-Preserving Vertical Federated XGBoost via Secure Multiparty Computation.
IEEE Big Data
Asma Ramay, Estrid He, Mengmeng Yang, Tabinda Sarwar, Xinqian Wang, Xun Yi
2025 J jnl
mBGT: Encoding Brain Signals With Multimodal Brain Graph Transformer.
IEEE Trans. Consumer Electron.
Ciyuan Peng, Tianqi Guo, Chengyao Xie, Xiaomei Bai, Jingjing Zhou, Xiaohui Zhao, Estrid He, Feng Xia
2024 A* conf
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
KDD
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
2024 J jnl
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
CoRR
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
2023 — conf
Effects of Human Adversarial and Affable Samples on BERT Generalizability.
EMNLP (Findings)
Aparna Elangovan, Estrid He, Yuan Li, Karin Verspoor