Yi-Qi Hu

According to our database, Yi-Qi Hu authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rethinking Optimization and Architecture for Tiny Language Models.

Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Kai Han, Yunhe Wang

CoRR, 2024

2022

Cascaded Algorithm Selection With Extreme-Region UCB Bandit.

Yi-Qi Hu, Xu-Hui Liu, Shu-Qiao Li, Yang Yu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

ZOOpt: a toolbox for derivative-free optimization.

Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Chao Qian, Yang Yu

Sci. China Inf. Sci., 2022

2021

Machine learning steered symbolic execution framework for complex software code.

Lei Bu, Yongjuan Liang, Zhunyi Xie, Hong Qian, Yi-Qi Hu, Yang Yu, Xin Chen, Xuandong Li

Formal Aspects Comput., 2021

2020

A technical view on neural architecture search.

Yi-Qi Hu, Yang Yu

Int. J. Mach. Learn. Cybern., 2020

Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning.

Yi-Qi Hu, Zelin Liu, Hua Yang, Yang Yu, Yunfeng Liu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit.

Yi-Qi Hu, Yang Yu, Jun-Da Liao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Asynchronous classification-based optimization.

Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion.

Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Taking Human out of Learning Applications: A Survey on Automated Machine Learning.

Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yu-Feng Li, Wei-Wei Tu, Qiang Yang, Yang Yu

CoRR, 2018

ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization.

Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu, Chao Qian

CoRR, 2018

Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search.

Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Sequential Classification-Based Optimization for Direct Policy Search.

Yi-Qi Hu, Hong Qian, Yang Yu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Symbolic execution of complex program driven by machine learning based constraint solving.

Xin Li, Yongjuan Liang, Hong Qian, Yi-Qi Hu, Lei Bu, Yang Yu, Xin Chen, Xuandong Li

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings.

Hong Qian, Yi-Qi Hu, Yang Yu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Multi-task Learning Approach by Combining Derivative-Free and Gradient Methods.

Yi-Qi Hu, Yang Yu

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Derivative-Free Optimization via Classification.

Yang Yu, Hong Qian, Yi-Qi Hu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016