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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
publications
Sensing Personality to Predict Job Performance
Suwen Lin, Stephen M. Mattingly, Xing Han and 20 more authorsCHI Future of Work Workshop 2019.
[Arxiv]
Certified Monotonic Neural Networks
Xingchao Liu, Xing Han, Na Zhang and Qiang Liu34th Conference on Neural Information Processing Systems (NeurIPS 2020). Spotlight
[Arxiv] [Conference] [Code]
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series
Xing Han, Sambarta Dasgupta and Joydeep GhoshProceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021
[Arxiv] [Conference] [Code]
Model-Agnostic Explanations using Minimal Forcing Subsets
Xing Han and Joydeep Ghosh2021 International Joint Conference on Neural Networks (IJCNN).
[Arxiv] [Conference]
Multi-Pair Text Style Transfer for Unbalanced Data via Task-Adaptive Meta-Learning
Xing Han and Jessica LundinProceedings of the 1st ACL Workshop on Meta Learning and Its Applications to Natural Language Processing.
[Arxiv] [Conference]
Dynamic Combination of Heterogeneous Models for Hierarchical Time Series
Xing Han, Jing Hu and Joydeep GhoshICDM 2022 Workshop
[Arxiv] [Conference] [Code]
Architecture Agnostic Federated Learning for Neural Networks
Disha Makhija, Xing Han, Nhat Ho and Joydeep GhoshProceedings of the 39th International Conference on Machine Learning (ICML) 2022.
[Arxiv] [Conference]
Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering
Xing Han, Tongzheng Ren, Jing Hu, Joydeep Ghosh and Nhat Ho9th International conference on Time Series and Forecasting
[Arxiv] [Conference]
Split Localized Conformal Prediction
Xing Han, Ziyang Tang, Joydeep Ghosh and Qiang LiuICML 2021 DFUQ Workshop
[Arxiv] [Code]
Machine-learning based generation of text style variations for digital content items
Jessica Lundin, Owen Winne Schoppe, Xing Han, Michael Reynolds Sollami, Brian J. Lonsdorf, Alan Martin Ross, David J. Woodward and Sonke RohdeUS Patent 2022/0245322 A1
[Arxiv]
Designing Robust Transformers using Robust Kernel Density Estimation
Xing Han, Tongzheng Ren, Tan Minh Nguyen, Khai Nguyen, Joydeep Ghosh and Nhat Ho37th Conference on Neural Information Processing Systems (NeurIPS 2023).
[Arxiv]
A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data
Xing Han, Jing Hu and Joydeep Ghosh2023 International Joint Conference on Neural Networks (IJCNN).
[Arxiv] [Conference]