| 2025 | AISTATS | Locally Private Estimation with Public Features. | Yuheng Ma, Ke Jia, Hanfang Yang |
| 2025 | NAACL | ALTER: Augmentation for Large-Table-Based Reasoning. | Han Zhang, Yuheng Ma, Hanfang Yang |
| 2024 | ICML | Better Locally Private Sparse Estimation Given Multiple Samples Per User. | Yuheng Ma, Ke Jia, Hanfang Yang |
| 2023 | ICML | Extrapolated Random Tree for Regression. | Yuchao Cai, Yuheng Ma, Yiwei Dong, Hanfang Yang |
| 2022 | ACL | MTRec: Multi-Task Learning over BERT for News Recommendation. | Qiwei Bi, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Hanfang Yang |
| 2022 | IJCNN | Exploring Coarse-grained Pre-guided Attention to Assist Fine-grained Attention Reinforcement Learning Agents. | Haoyu Liu, Yang Liu, Xingrui Wang, Hanfang Yang |
| 2021 | CIKM | Boosting Few-shot Abstractive Summarization with Auxiliary Tasks. | Qiwei Bi, Haoyuan Li, Hanfang Yang |
| 2020 | ICML | Boosted Histogram Transform for Regression. | Yuchao Cai, Hanyuan Hang, Hanfang Yang, Zhouchen Lin |
| 2018 | DASFAA | Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification. | Hanfang Yang, Xiangdong Zhou, Lan Lin, Bo Yao, Zijing Tan, Haocheng Tang, Yingjie Tian |
| 2015 | ICVS | An Informative Logistic Regression for Cross-Domain Image Classification. | Guangtang Zhu, Hanfang Yang, Lan Lin, Guichun Zhou, Xiangdong Zhou |
| 2013 | AAAI | Understanding and Predicting Interestingness of Videos. | Yu-Gang Jiang, Yanran Wang, Rui Feng, Xiangyang Xue, Yingbin Zheng, Hanfang Yang |