Yi-Qi Hu

20 papers A* 8A 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
EFPC: Towards Efficient and Flexible Prompt Compression.
CoRR
Yun-Hao Cao, Yangsong Wang, Shuzheng Hao, Zhenxing Li, Chengjun Zhan, Sichao Liu, Yi-Qi Hu
2024 A* conf
Rethinking Optimization and Architecture for Tiny Language Models.
ICML
Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang
2024 J jnl
Rethinking Optimization and Architecture for Tiny Language Models.
CoRR
Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Kai Han, Yunhe Wang
2022 J jnl
Cascaded Algorithm Selection With Extreme-Region UCB Bandit.
IEEE Trans. Pattern Anal. Mach. Intell.
Yi-Qi Hu, Xu-Hui Liu, Shu-Qiao Li, Yang Yu
2022 J jnl
ZOOpt: a toolbox for derivative-free optimization.
Sci. China Inf. Sci.
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Chao Qian, Yang Yu
2021 J jnl
Machine learning steered symbolic execution framework for complex software code.
Formal Aspects Comput.
Lei Bu, Yongjuan Liang, Zhunyi Xie, Hong Qian, Yi-Qi Hu, Yang Yu, Xin Chen, Xuandong Li
2020 J jnl
A technical view on neural architecture search.
Int. J. Mach. Learn. Cybern.
Yi-Qi Hu, Yang Yu
2020 A conf
Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning.
ECAI
Yi-Qi Hu, Zelin Liu, Hua Yang, Yang Yu, Yunfeng Liu
2019 — conf
Asynchronous classification-based optimization.
DAI
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu
2019 A* conf
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit.
IJCAI
Yi-Qi Hu, Yang Yu, Jun-Da Liao
2019 J jnl
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit.
CoRR
Yi-Qi Hu, Yang Yu, Jun-Da Liao
2019 A* conf
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion.
AAAI
Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai
2018 A* conf
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search.
IJCAI
Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou
2018 J jnl
Taking Human out of Learning Applications: A Survey on Automated Machine Learning.
CoRR
Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yufeng Li, Wei-Wei Tu, Qiang Yang, Yang Yu
2018 J jnl
ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization.
CoRR
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu, Chao Qian
2017 A* conf
Sequential Classification-Based Optimization for Direct Policy Search.
AAAI
Yi-Qi Hu, Hong Qian, Yang Yu
2016 — conf
A Multi-task Learning Approach by Combining Derivative-Free and Gradient Methods.
BIC-TA (1)
Yi-Qi Hu, Yang Yu
2016 A* conf
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings.
IJCAI
Hong Qian, Yi-Qi Hu, Yang Yu
2016 A* conf
Derivative-Free Optimization via Classification.
AAAI
Yang Yu, Hong Qian, Yi-Qi Hu
2016 A* conf
Symbolic execution of complex program driven by machine learning based constraint solving.
ASE
Xin Li, Yongjuan Liang, Hong Qian, Yi-Qi Hu, Lei Bu, Yang Yu, Xin Chen, Xuandong Li