Numerical analysis of aortic hemodynamics under the support of venoarterial extracorporeal membrane oxygenation and intra-aortic balloon pump. - Kaiyun Gu; Zhiyuan Guan; Xuanqi Lin; Yunzhen Feng; Jieli Feng; Yujie Yang; Zhe Zhang; Yu Chang; Yunpeng Ling; Feng Wan (Comput. Methods Programs Biomed., 2019)

Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling. - Chizhou Liu; Yunzhen Feng; Ranran Wang 002; Bin Dong 001 (CoRR, 2020)

Transferred Discrepancy: Quantifying the Difference Between Representations. - Yunzhen Feng; Runtian Zhai; Di He 001; Liwei Wang 001; Bin Dong 001 (CoRR, 2020)

Embarassingly Simple Dataset Distillation. - Yunzhen Feng; Ramakrishna Vedantam; Julia Kempe (CoRR, 2023)

Embarrassingly Simple Dataset Distillation. - Yunzhen Feng; Shanmukha Ramakrishna Vedantam; Julia Kempe (ICLR, 2024)

A Tale of Tails: Model Collapse as a Change of Scaling Laws. - Elvis Dohmatob; Yunzhen Feng; Pu Yang; François Charton; Julia Kempe (ICML, 2024)

Do Efficient Transformers Really Save Computation? - Kai Yang; Jan Ackermann; Zhenyu He 012; Guhao Feng; Bohang Zhang; Yunzhen Feng; Qiwei Ye; Di He 001; Liwei Wang 001 (ICML, 2024)

Model Collapse Demystified: The Case of Regression. - Elvis Dohmatob; Yunzhen Feng; Julia Kempe (NeurIPS, 2024)

Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement. - Yunzhen Feng; Elvis Dohmatob; Pu Yang; François Charton; Julia Kempe (CoRR, 2024)

Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks. - Yunzhen Feng; Tim G. J. Rudner; Nikolaos Tsilivis 002; Julia Kempe (Trans. Mach. Learn. Res., 2024)

Strong Model Collapse. - Elvis Dohmatob; Yunzhen Feng; Arjun Subramonian; Julia Kempe (ICLR, 2025)

Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification. - Yunzhen Feng; Elvis Dohmatob; Pu Yang; François Charton; Julia Kempe (ICLR, 2025)

Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Boostrapping. - Pu Yang; Yunzhen Feng; Ziyuan Chen; Yuhang Wu; Zhuoyuan Li (CoRR, 2025)

PILAF: Optimal Human Preference Sampling for Reward Modeling. - Yunzhen Feng; Ariel Kwiatkowski; Kunhao Zheng; Julia Kempe; Yaqi Duan (CoRR, 2025)

Multi-Modal Correction Network for Recommendation. - Zengmao Wang; Yunzhen Feng; Xin Zhang 091; Renjie Yang; Bo Du 001 (IEEE Trans. Knowl. Data Eng., 2025)