Non-local Attention Learning on Large Heterogeneous Information Networks. - Yuxin Xiao; Zecheng Zhang; Carl Yang 001; Chengxiang Zhai (IEEE BigData, 2019)

Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. - Yuxin Xiao; Adit Krishnan; Hari Sundaram (WWW, 2020)

Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. - Carl Yang 001; Yuxin Xiao; Yu Zhang 044; Yizhou Sun; Jiawei Han 001 (CoRR, 2020)

Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation. - Yuxin Xiao; Eric P. Xing; Willie Neiswanger (CoRR, 2021)

Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis. - Yuxin Xiao; Paul Pu Liang; Umang Bhatt; Willie Neiswanger; Ruslan Salakhutdinov; Louis-Philippe Morency (EMNLP (Findings), 2022)

SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. - Yuxin Xiao; Zecheng Zhang; Yuning Mao; Carl Yang 001; Jiawei Han 001 (NAACL-HLT, 2022)

Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. - Carl Yang 001; Yuxin Xiao; Yu Zhang 044; Yizhou Sun; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2022)

In the Name of Fairness: Assessing the Bias in Clinical Record De-identification. - Yuxin Xiao; Shulammite Lim; Tom Joseph Pollard; Marzyeh Ghassemi (FAccT, 2023)

Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control. - Yuxin Xiao; Chaoqun Wan; Yonggang Zhang 003; Wenxiao Wang 001; Binbin Lin; Xiaofei He 001; Xu Shen 001; Jieping Ye (NeurIPS, 2024)

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe. - Yuxin Xiao; Shujian Zhang; Wenxuan Zhou; Marzyeh Ghassemi; Sanqiang Zhao (CoRR, 2024)

Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions. - Yik Siu Chan; Narutatsu Ri; Yuxin Xiao; Marzyeh Ghassemi (CoRR, 2025)

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use. - Shan Chen 004; Pedro Moreira; Yuxin Xiao; Sam Schmidgall; Jeremy L. Warner; Hugo J. W. L. Aerts; Thomas Hartvigsen; Jack Gallifant; Danielle S. Bitterman (CoRR, 2025)

When Style Breaks Safety: Defending Language Models Against Superficial Style Alignment. - Yuxin Xiao; Sana Tonekaboni; Walter Gerych; Vinith M. Suriyakumar; Marzyeh Ghassemi (CoRR, 2025)

KScope: A Framework for Characterizing the Knowledge Status of Language Models. - Yuxin Xiao; Shan Chen 004; Jack Gallifant; Danielle S. Bitterman; Thomas Hartvigsen; Marzyeh Ghassemi (CoRR, 2025)