Hechuan Wen

According to our database, Hechuan Wen authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Why Prompt Optimization Works, and Why It Sometimes Doesn't: A Causal-Inspired Edit-Level Analysis.

Shuzhi Gong, Hechuan Wen

CoRR, May, 2026

Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection.

Hung Vinh Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

Proceedings of the ACM Web Conference 2026, 2026

2025

Towards Cost-Effective Model Update in Online Feature-Incremental Learning.

Zirui Tan, Hechuan Wen, Shazia Sadiq, Tong Chen

Proceedings of the Web Information Systems Engineering - WISE 2025 PhD Symposium, Demos and Workshops, 2025

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation.

Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective.

Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin

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

2024

Variational Counterfactual Prediction Under Runtime Domain Corruption.

Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., May, 2024

2023

To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data.

Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, Hongzhi Yin

Proceedings of the IEEE International Conference on Data Mining, 2023