Wei Sun

According to our database, Wei Sun authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Mitigating Negative Interference in Multilingual Sequential Knowledge Editing through Null-Space Constraints.

Wei Sun, Tingyu Qu, Mingxiao Li, Jesse Davis, Marie-Francine Moens

CoRR, June, 2025

Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence.

Wei Sun, Mingxiao Li, Damien Sileo, Jesse Davis, Marie-Francine Moens

ACM Trans. Comput. Heal., April, 2025

Mitigating Negative Interference in Multilingual Knowledge Editing through Null-Space Constraints.

Wei Sun, Tingyu Qu, Mingxiao Li, Jesse Davis, Marie-Francine Moens

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A Unified Review of Deep Learning for Automated Medical Coding.

Shaoxiong Ji, Xiaobo Li, Wei Sun, Hang Dong, Ara Taalas, Yijia Zhang, Honghan Wu, Esa Pitkänen, Pekka Marttinen

ACM Comput. Surv., December, 2024

Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps.

Mingxiao Li, Tingyu Qu, Ruicong Yao, Wei Sun, Marie-Francine Moens

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DMON: A Simple Yet Effective Approach for Argument Structure Learning.

Wei Sun, Mingxiao Li, Jingyuan Sun, Jesse Davis, Marie-Francine Moens

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Multitask Balanced and Recalibrated Network for Medical Code Prediction.

Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen

ACM Trans. Intell. Syst. Technol., February, 2023

Content Reduction, Surprisal and Information Density Estimation for Long Documents.

Shaoxiong Ji, Wei Sun, Pekka Marttinen

CoRR, 2023

Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps.

Mingxiao Li, Tingyu Qu, Wei Sun, Marie-Francine Moens

CoRR, 2023

Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition.

Wei Sun, Shaoxiong Ji, Tuulia Denti, Hans Moen, Oleg Kerro, Antti Rannikko, Pekka Marttinen, Miika Koskinen

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2022

A Unified Review of Deep Learning for Automated Medical Coding.

Shaoxiong Ji, Wei Sun, Hang Dong, Honghan Wu, Pekka Marttinen

CoRR, 2022

2021

Multi-task Balanced and Recalibrated Network for Medical Code Prediction.

Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen

CoRR, 2021

Multitask Recalibrated Aggregation Network for Medical Code Prediction.

Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021