activity
20202023
most citedHeterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark

29 citations · 55 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023★ 1 cited

In the Name of Fairness: Assessing the Bias in Clinical Record De-identification

Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard +1

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 heal…

cs.CL2022★ 4 cited

Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis

Yuxin Xiao, Paul Pu Liang, Umang Bhatt +3

Pre-trained language models (PLMs) have gained increasing popularity due to their compelling prediction performance in diverse natural language processing (NLP) tasks. When formula…

cs.CL2021★ 11 cited

SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction

Yuxin Xiao, Zecheng Zhang, Yuning Mao +2

Stepping from sentence-level to document-level, the research on relation extraction (RE) confronts increasing text length and more complicated entity interactions. Consequently, it…

cs.LG2021

Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation

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. However, after asses…

cs.SI2020★ 29 cited

Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark

Carl Yang, Yuxin Xiao, Yu Zhang +2

Since real-world objects and their interactions are often multi-modal and multi-typed, heterogeneous networks have been widely used as a more powerful, realistic, and generic super…

cs.SI2020★ 10 cited

Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks

Yuxin Xiao, Adit Krishnan, Hari Sundaram

Some social networks provide explicit mechanisms to allocate social rewards such as reputation based on user activity, while the mechanism is more opaque in other networks. Nonethe…