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Yi-Qi Hu
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2020 – today
- 2024
- [c11]Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang:
Rethinking Optimization and Architecture for Tiny Language Models. ICML 2024 - [i4]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 abs/2402.02791 (2024) - 2022
- [j4]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) - [j3]Yi-Qi Hu
, Xu-Hui Liu
Cascaded Algorithm Selection With Extreme-Region UCB Bandit. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6782-6794 (2022) - 2021
- [j2]Lei Bu
Machine learning steered symbolic execution framework for complex software code. Formal Aspects Comput. 33(3): 301-323 (2021) - 2020
- [j1]Yi-Qi Hu
A technical view on neural architecture search. Int. J. Mach. Learn. Cybern. 11(4): 795-811 (2020) - [c10]Yi-Qi Hu, Zelin Liu, Hua Yang, Yang Yu, Yunfeng Liu:
Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning. ECAI 2020: 1207-1214
2010 – 2019
- 2019
- [c9]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: 3846-3853 - [c8]Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu:
Asynchronous classification-based optimization. DAI 2019: 9:1-9:8 - [c7]Yi-Qi Hu, Yang Yu, Jun-Da Liao:
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit. IJCAI 2019: 2528-2534 - [i3]Yi-Qi Hu, Yang Yu, Jun-Da Liao:
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit. CoRR abs/1905.13703 (2019) - 2018
- [c6]Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou:
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search. IJCAI 2018: 2276-2282 - [i2]Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu, Chao Qian:
ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization. CoRR abs/1801.00329 (2018) - [i1]Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yufeng Li, Wei-Wei Tu, Qiang Yang, Yang Yu:
Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR abs/1810.13306 (2018) - 2017
- [c5]Yi-Qi Hu, Hong Qian, Yang Yu:
Sequential Classification-Based Optimization for Direct Policy Search. AAAI 2017: 2029-2035 - 2016
- [c4]Yang Yu, Hong Qian, Yi-Qi Hu:
Derivative-Free Optimization via Classification. AAAI 2016: 2286-2292 - [c3]Yi-Qi Hu, Yang Yu:
A Multi-task Learning Approach by Combining Derivative-Free and Gradient Methods. BIC-TA (1) 2016: 456-465 - [c2]Hong Qian, Yi-Qi Hu, Yang Yu:
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings. IJCAI 2016: 1946-1952 - [c1]Xin Li, Yongjuan Liang, Hong Qian, Yi-Qi Hu, Lei Bu
Symbolic execution of complex program driven by machine learning based constraint solving. ASE 2016: 554-559
Coauthor Index
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