Posts by Collection

Suwen LinStephen M. MattinglyXing Han

Certified Monotonic Neural Networks

Xingchao LiuXing HanNa ZhangQiang Liu

Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series

Xing HanSambarta DasguptaJoydeep Ghosh

Model-Agnostic Explanations using Minimal Forcing Subsets

Xing HanJoydeep Ghosh

Multi-Pair Text Style Transfer for Unbalanced Data via Task-Adaptive Meta-Learning

Xing HanJessica Lundin

Dynamic Combination of Heterogeneous Models for Hierarchical Time Series

Xing HanJing HuJoydeep Ghosh

Architecture Agnostic Federated Learning for Neural Networks

Disha MakhijaXing HanNhat HoJoydeep Ghosh

Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering

Xing HanTongzheng RenJing HuJoydeep GhoshNhat Ho

Split Localized Conformal Prediction

Xing HanZiyang TangJoydeep GhoshQiang Liu

Machine-learning based generation of text style variations for digital content items

Jessica LundinOwen Winne SchoppeXing HanMichael Reynolds SollamiBrian J. LonsdorfAlan Martin RossDavid J. WoodwardSonke Rohde

Designing Robust Transformers using Robust Kernel Density Estimation

Xing HanTongzheng RenTan Minh NguyenKhai NguyenJoydeep GhoshNhat Ho

Xing Han

news

One paper accepted to NeurIPS 2020 as a spotlight presentation.

One paper accepted to AISTATS 2021.

Successfully passed my qualifying exam, and now become a Ph.D. candidate!

One paper accepted to ICML 2022.

Started my internship at Google.

I will start working with Prof. Suchi Saria as a Postdoctoral Fellow!

Finished my PhD journey at UT!

Started my appointment as a Postdoctoral Fellow in Johns Hopkins.

One paper accepted to NeurIPS 2023.

publications

Sensing Personality to Predict Job Performance

Certified Monotonic Neural Networks

Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series

Model-Agnostic Explanations using Minimal Forcing Subsets

Multi-Pair Text Style Transfer for Unbalanced Data via Task-Adaptive Meta-Learning

Dynamic Combination of Heterogeneous Models for Hierarchical Time Series

Architecture Agnostic Federated Learning for Neural Networks

Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering

Split Localized Conformal Prediction

Machine-learning based generation of text style variations for digital content items

Designing Robust Transformers using Robust Kernel Density Estimation

A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data

talks

Talk 1 on Relevant Topic in Your Field

Tutorial 1 on Relevant Topic in Your Field

Talk 2 on Relevant Topic in Your Field

Conference Proceeding talk 3 on Relevant Topic in Your Field