Yi-Qi Hu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Machine Learning

Top Venues

Formal Aspects Comput.

Publications

Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Kai Han, Yunhe Wang
Rethinking Optimization and Architecture for Tiny Language Models. CoRR (2024)
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Chao Qian, Yang Yu
ZOOpt: a toolbox for derivative-free optimization. Sci. China Inf. Sci. 65 (10) (2022)
Yi-Qi Hu, Xu-Hui Liu, Shu-Qiao Li, Yang Yu
Cascaded Algorithm Selection With Extreme-Region UCB Bandit. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Lei Bu, Yongjuan Liang, Zhunyi Xie, Hong Qian, Yi-Qi Hu, Yang Yu, Xin Chen, Xuandong Li
Machine learning steered symbolic execution framework for complex software code. Formal Aspects Comput. 33 (3) (2021)
Yi-Qi Hu, Zelin Liu, Hua Yang, Yang Yu, Yunfeng Liu
Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning. ECAI (2020)
Yi-Qi Hu, Yang Yu
A technical view on neural architecture search. Int. J. Mach. Learn. Cybern. 11 (4) (2020)
Yi-Qi Hu, Yang Yu, Jun-Da Liao
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit. IJCAI (2019)
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu
Asynchronous classification-based optimization. DAI (2019)
Yi-Qi Hu, Yang Yu, Jun-Da Liao
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit. CoRR (2019)
Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. AAAI (2019)
Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search. IJCAI (2018)
Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yu-Feng Li, Wei-Wei Tu, Qiang Yang, Yang Yu
Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR (2018)
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu, Chao Qian
ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization. CoRR (2018)
Yi-Qi Hu, Hong Qian, Yang Yu
Sequential Classification-Based Optimization for Direct Policy Search. AAAI (2017)
Xin Li, Yongjuan Liang, Hong Qian, Yi-Qi Hu, Lei Bu, Yang Yu, Xin Chen, Xuandong Li
Symbolic execution of complex program driven by machine learning based constraint solving. ASE (2016)
Hong Qian, Yi-Qi Hu, Yang Yu
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings. IJCAI (2016)
Yi-Qi Hu, Yang Yu
A Multi-task Learning Approach by Combining Derivative-Free and Gradient Methods. BIC-TA (1) (2016)
Yang Yu, Hong Qian, Yi-Qi Hu
Derivative-Free Optimization via Classification. AAAI (2016)