Xiongren Chen

According to our database, Xiongren Chen authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models.

Wentao Gao, Xiaojing Du, Xiongren Chen, Yifan Guo, Andres Mauricio Cifuentes Bernal, Renqiang Luo, Ziqi Xu

Proceedings of the ACM Web Conference 2026, 2026

Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction.

Wentao Gao, Xiongren Chen, Xiaojing Du, Wenjun Yu, Andres Mauricio Cifuentes Bernal, Ziqi Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction.

Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yun Chen, Yanchang Zhao

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Telling Peer Direct Effects from Indirect Effects in Observational Network Data.

Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen, Ziqi Xu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction.

Wentao Gao, Jiuyong Li, Lin Liu, Thuc Duy Le, Xiongren Chen, Xiaojing Du, Jixue Liu, Yanchang Zhao, Yun Chen

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Diffusion Models for Attribution.

Xiongren Chen, Jiuyong Li, Jixue Liu, Lin Liu, Stefan Peters, Thuc Duy Le, Wentao Gao, Xiaojing Du, Anthony Walsh

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Deconfounding Time Series Forecasting.

Wentao Gao, Feiyu Yang, Mengze Hong, Xiaojing Du, Zechen Hu, Xiongren Chen, Ziqi Xu

CoRR, 2024

Causal GNNs: A GNN-Driven Instrumental Variable Approach for Causal Inference in Networks.

Xiaojing Du, Feiyu Yang, Wentao Gao, Xiongren Chen

CoRR, 2024

A Deconfounding Approach to Climate Model Bias Correction.

Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yanchang Zhao, Yun Chen

CoRR, 2024

Estimating Peer Direct and Indirect Effects in Observational Network Data.

Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen

CoRR, 2024

2023

Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation.

Xiongren Chen, Jiuyong Li, Jixue Liu, Stefan Peters, Lin Liu, Thuc Duy Le, Anthony Walsh

Proceedings of the IEEE International Conference on Big Data, 2023

2020

Physical System for Non Time Sequence Data.

Xiongren Chen

CoRR, 2020

Gradient-based Causal Structure Learning with Normalizing Flow.

Xiongren Chen

CoRR, 2020