1 code implementation • 18 May 2023 • Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard, Marzyeh Ghassemi
Data sharing is crucial for open science and reproducible research, but the legal sharing of clinical data requires the removal of protected health information from electronic health records.
1 code implementation • 10 Oct 2022 • Yuxin Xiao, Paul Pu Liang, Umang Bhatt, Willie Neiswanger, Ruslan Salakhutdinov, Louis-Philippe Morency
In particular, there are various considerations behind the pipeline: (1) the choice and (2) the size of PLM, (3) the choice of uncertainty quantifier, (4) the choice of fine-tuning loss, and many more.
1 code implementation • NAACL 2022 • Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han
Consequently, it is more challenging to encode the key information sources--relevant contexts and entity types.
Ranked #1 on Relation Extraction on CDR
1 code implementation • 17 Jun 2021 • Yuxin Xiao, Eric P. Xing, Willie Neiswanger
With the surge in the number of hyperparameters and training times of modern machine learning models, hyperparameter tuning is becoming increasingly expensive.
1 code implementation • 1 Apr 2020 • Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
Since there has already been a broad body of HNE algorithms, as the first contribution of this work, we provide a generic paradigm for the systematic categorization and analysis over the merits of various existing HNE algorithms.
1 code implementation • 7 Mar 2020 • Yuxin Xiao, Adit Krishnan, Hari Sundaram
Different strategies give rise to different social payoffs, the best performing individuals exhibit stability in their preference over the discovered strategies, which indicates the emergence of strategic behavior, and the stability of strategy preference is correlated with high payoffs.
Social and Information Networks Physics and Society
1 code implementation • 2019 IEEE International Conference on Big Data (Big Data) 2019 • Yuxin Xiao, Zecheng Zhang, Carl Yang, ChengXiang Zhai
In this way, it leverages both local and non-local information simultaneously.
Ranked #1 on Heterogeneous Node Classification on DBLP (PACT) 14k (Macro-F1 (60% training data) metric)