Yi-Qi Hu @ NJUCS

Modified: 2014/08/25 22:19 by admin - Uncategorized
ImageChinese name
Yi-Qi Hu (Y.Q. Hu)

Ph.D. Student, LAMDA Group
Department of Computer Science and Technology
State Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China

Building of Computer Science and Technology,
Xianlin Campus of Nanjing University


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I graduated from College of Computer Science and Technology in Nanjing University of Aeronautics and Astronautics in 2015. Currently I am a member of LAMDA Group(LAMDA Publications) in Nanjing University, led by professor Zhi-Hua Zhou.



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Supervisor

Associate professor Yang Yu.

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Biography

I received my B.Sc. degree in College of Computer Science and Technology in June 2015 from Nanjing University of Aeronautics and Astronautics. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination. From Sept. 2017, I started my Ph.D. degree under the supervision of Professor Yang Yu. From Mar. 2019, I became the director of Nanjing Research Center of Zhuiyi Technology Co. Ltd. More information please see my CV. (CV in PDF)

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Research Interest

My research interests include: derivative-free optimization, automatic machine learning (AutoML), reinforcement learning. Currently, I am focusing on solving AutoML problems through high-efficient derivative-free optimization methods.

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Publication list

  • Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu. Asynchronous Classification-Based Optimization. In: Proceedings of the 1st International Conference on Distributed Artificial Intelligence (DAI'19), Beijing, China, 2019. (PDF)
  • Yi-Qi Hu, Yang Yu, Jun-Da Liao. Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), Macao, China, 2019, pp.2528-2534. (PDF)
  • Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai. Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019, pp.3846-3853. (PDF)
  • Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou. Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, 2018, pp.2276-2282. (PDF)
  • Yi-Qi Hu, Hong Qian, Yang Yu. Sequential classification-based optimization for direct policy search. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI’17), San Francisco, CA, 2017, pp.2029-2035. (PDF with Appendix) (Code)
  • Yi-Qi Hu, Yang Yu. A Multi-Task Learning Approach by Combining Derivative-Free and Gradient Methods. In: Proceedings of 11th Bio-Inspired Computing-Theories and Applications (BIC-TA'16), Xi'an, Shaanxi, 2016, pp.456-465.
  • Xin Li, Yong-Juan Liang, Hong Qian, Yi-Qi Hu, Lei Bu, Yang Yu, Xin Chen, Xuan-Dong Li. Symbolic execution of complex program driven by machine learning based constraint solving. In: Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering (ASE'16), Singapore, 2016, pp.554-559. (PDF)
  • Hong Qian, Yi-Qi Hu, Yang Yu. Derivative-free optimization of high-dimensional non-convex functions by sequential random embeddings. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), New York, NY, 2016, pp.1946-1952. (PDF) (Code)
  • Yang Yu, Hong Qian, and Yi-Qi Hu. Derivative-free optimization via classification. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16), Phoenix, AZ, 2016, pp.2286-2292. (PDF) (Appendix) (Code)

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Services

  • PC Member:
    AAAI'19, ICML'19, NeurIPS'19, AAAI'20
  • Volunteer:
    The 14th China Workshop on Machine Learning and Applications (MLA'16), Nanjing, China, 2016.
    The 25th International Joint Conference on Artificial Intelligence (IJCAI'16), New York, NY, 2016.
    The 13rd China Workshop on Machine Learning and Applications (MLA'15), Nanjing, China, 2015.

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Talks

  • Some Progress from Derivative-Free Optimization to Experienced Derivative-Free Optimization. PRICAI AutoML Workshop, Nanjing, China, Aug. 28, 2018. (Slides)

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Awards & Honors

  • Artificial Intelligence Scholarship in Nanjing University. Nanjing, October, 2018
  • Nanrui Scholarship in Nanjing University. Nanjing, October, 2017
  • The First Class Academic Scholarship in Nanjing University. Nanjing, October, 2016
  • The First Class Academic Scholarship in Nanjing University. Nanjing, October, 2015
  • First Price Scholarship in Nanjing University of Aeronautics and Astronautics. Nanjing, November, 2012
  • First Price Scholarship in Nanjing University of Aeronautics and Astronautics. Nanjing, November, 2013

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Teaching Assistant




Mail:
State Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(In Chinese:) 南京市栖霞区仙林大道163号，南京大学仙林校区603信箱，软件新技术国家重点实验室，210023。
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