271 citations · 899 across the 17 of their papers we have counts for
4 papers · 1 filter
What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks
Haohan Wang, Da Sun, Eric P. Xing
Nature language inference (NLI) task is a predictive task of determining the inference relationship of a pair of natural language sentences. With the increasing popularity of NLI,…
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications
Haohan Wang, Zhenglin Wu, Eric P. Xing
The proliferation of healthcare data has brought the opportunities of applying data-driven approaches, such as machine learning methods, to assist diagnosis. Recently, many deep le…
Anomaly Detection in Road Networks Using Sliding-Window Tensor Factorization
Ming Xu, Jianping Wu, Haohan Wang +1
Anomaly detection in road networks is vital for traffic management and emergency response. However, existing approaches do not directly address multiple anomaly types. We propose a…
Deep Learning for Genomics: A Concise Overview
Tianwei Yue, Yuanxin Wang, Longxiang Zhang +5
Advancements in genomic research such as high-throughput sequencing techniques have driven modern genomic studies into "big data" disciplines. This data explosion is constantly cha…