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2026

• Jian Chen, Yile Chen, Zhenya Zheng, Zeyi Wen, Yawen Chen, Jin Huang. EaSFE: Scalable and Efficient Feature Engineering for Boosting Machine Learning Performance. ACM Trasaction on Knowledge Discovery from Data (TKDD), 2025. PDF
• Yile Chen, Zeyi Wen, Jian Chen, Jin Huang. Towards Dynamic Interleaving Optimizers. The 14th International Conference on Learning Representations (ICLR), 2026. PDF
• Yile Chen, Zeyi Wen, Jian Chen, Jin Huang. A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning. The 40th AAAI Conference on Artificial Intelligence (AAAI), 2026. PDF

2025 & Before

• Jian Chen, Yile Chen, Zeyi Wen, Yawen Chen, Jin Huang. Towards Recommendation on Good Quality Data Science Solutions. ACM Trasaction on Knowledge Discovery from Data (TKDD), 2025. PDF
• Yile Chen, Zeyi Wen, Jian Chen, Jin Huang. Enhancing the Performance of Bandit-based Hyperparameter Optimization. The 40th IEEE International Conference on Data Engineering (ICDE), 2024. PDF
• Yawen Chen, Yile Chen, Jian Chen, Zeyi Wen, Jin Huang. Efficient Second-order Optimization for Neural Networks with Kernel Machines. The 31st ACM International Conference on Information & Knowledge Management (CIKM), 2022. PDF