| 2026 | ACL | Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical Reasoning. | Chi Liu, Yan Shu, Mengzhuo Chen, Hongming Piao, Zhijian Duan, Derek Li, Bryan Dai |
| 2026 | ACL | Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models. | Hao Wang, Hao Gu, Hongming Piao, Kaixiong Gong, Yuxiao Ye, Xiangyu Yue, Sirui Han, Yike Guo, Dapeng Wu |
| 2025 | ICLR | SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning. | Yichen Wu, Hongming Piao, Long-Kai Huang, Renzhen Wang, Wanhua Li, Hanspeter Pfister, Deyu Meng, Kede Ma, Ying Wei |
| 2024 | ICML | Federated Continual Learning via Prompt-based Dual Knowledge Transfer. | Hongming Piao, Yichen Wu, Dapeng Wu, Ying Wei |
| 2024 | KDD | Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. | Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou |
| 2022 | WSDM | MtCut: A Multi-Task Framework for Ranked List Truncation. | Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao |