| 2024 | ICML | Rethinking Optimization and Architecture for Tiny Language Models. | Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang |
| 2020 | ECAI | Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning. | Yi-Qi Hu, Zelin Liu, Hua Yang, Yang Yu, Yunfeng Liu |
| 2019 | AAAI | Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. | Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai |
| 2019 | IJCAI | Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit. | Yi-Qi Hu, Yang Yu, Jun-Da Liao |
| 2018 | IJCAI | Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search. | Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou |
| 2017 | AAAI | Sequential Classification-Based Optimization for Direct Policy Search. | Yi-Qi Hu, Hong Qian, Yang Yu |
| 2016 | AAAI | Derivative-Free Optimization via Classification. | Yang Yu, Hong Qian, Yi-Qi Hu |
| 2016 | IJCAI | Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings. | Hong Qian, Yi-Qi Hu, Yang Yu |