activity
20182022
most citedDifferentiable Top-k Operator with Optimal Transport

15 citations · 41 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LG2020

A Hypergradient Approach to Robust Regression without Correspondence

Yujia Xie, Yixiu Mao, Simiao Zuo +4

We consider a variant of regression problem, where the correspondence between input and output data is not available. Such shuffled data is commonly observed in many real world pro…

cs.CL202015 cited

Conditional Self-Attention for Query-based Summarization

Yujia Xie, Tianyi Zhou, Yi Mao +1

Self-attention mechanisms have achieved great success on a variety of NLP tasks due to its flexibility of capturing dependency between arbitrary positions in a sequence. For proble…

cs.LG202015 cited

Differentiable Top-k Operator with Optimal Transport

Yujia Xie, Hanjun Dai, Minshuo Chen +5

The top-k operation, i.e., finding the k largest or smallest elements from a collection of scores, is an important model component, which is widely used in information retrieval, m…

cs.LG2019

Meta Learning with Relational Information for Short Sequences

Yujia Xie, Haoming Jiang, Feng Liu +2

This paper proposes a new meta-learning method -- named HARMLESS (HAwkes Relational Meta LEarning method for Short Sequences) for learning heterogeneous point process models from s…

cs.LG20197 cited

On Scalable and Efficient Computation of Large Scale Optimal Transport

Yujia Xie, Minshuo Chen, Haoming Jiang +2

Optimal Transport (OT) naturally arises in many machine learning applications, yet the heavy computational burden limits its wide-spread uses. To address the scalability issue, we…

cs.CV2018

Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation

Jialei Chen, Yujia Xie, Kan Wang +6

Machine learning methods play increasingly important roles in pre-procedural planning for complex surgeries and interventions. Very often, however, researchers find the historical…