钱 鸿 Hong Qian (H. Qian) (The given name can be pronounced as "home") Ph.D. candidate, LAMDA Group Department of Computer Science and Technology National Key Laboratory for Novel Software Technology Nanjing University, Nanjing 210023, China Supervisor: Associate Prof. Yang Yu Email: qianh {AT} lamda.nju.edu.cn, hongqian08 {AT} gmail.com Laboratory: Computer Science Building, Xianlin Campus of Nanjing University

Biography

Since September 2015, I became a Ph.D. candidate of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group, which is led by professor Zhi-Hua Zhou.

I received my B.Sc. degree in School of Mathematical Sciences in June 2013 from Soochow University. In September 2013 and 2015, I was admitted to study for a M.Sc. degree and Ph.D. degree in Nanjing University under the supervision of associate Prof. Yang Yu without entrance examination, respectively.

Recent Update

• Awardee supported by the Program A for Outstanding Ph.D. Candidates of Nanjing University in 2018.

• Delivering a talk on derivative-free optimization for machine learning in CS Department of Nanjing Agricultural University in 2018.

• Very honored to receive the Baidu Scholarships Nomination in 2017 (Link).

• Becoming an editor of AAEO (ECOLE weekly), 2015.

Research Interests

My research interests include Machine Learning and Optimization. Especially, I am interested in

• bandit optimization methods (e.g., Bayesian optimization) for non-convex problems and its applications in machine learning and reinforcement learning

• evolutionary machine learning: applying theoretical-grounded evolutionary optimization to solve problems from machine learning

• reinforcement learning and multi-armed bandit learning

• game theory and its applications in machine learning

• Pareto optimization and multi-objective optimization

Publication

Refereed Papers (by year)

• Hong Wang, Hong Qian, and Yang Yu. Noisy derivative-free optimization with value suppression. In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18), New Orleans, LA, 2018, pp.1447-1454. (PDF)

• Hong Qian and Yang Yu. Solving high-dimensional multi-objective optimization problems with low effective dimensions. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, CA, 2017, pp.875-881. (PDF with Appendix)

• Yi-Qi Hu, Hong Qian, and 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)

• Hong Qian, Yi-Qi Hu, and 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)

• Hong Qian and Yang Yu. Scaling simultaneous optimistic optimization for high-dimensional non-convex functions with low effective dimensions. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16), Phoenix, AZ, 2016, pp.2000-2006. (PDF)

• 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)

• Hong Qian and Yang Yu. On sampling-and-classification optimization in discrete domains. In: Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC'16), Vancouver, Canada, 2016, pp.4374-4381. (PDF)

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

• Yang Yu and Hong Qian. The sampling-and-learning framework: A statistical view of evolutionary algorithms. In: Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC'14), Beijing, China, 2014, pp.149-158. (PDF)

Manuscripts (by year)

• Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu, and Chao Qian. ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization. arXiv:1801.00329, 2017. (PDF)

Others (by year)

• 钱鸿, 俞扬. Google DeepMind的人工智能之路. 中国计算机学会通讯, 2017, 13(6): 76-77. (Link) (PDF)

• 钱鸿, 胡毅奇, 俞扬. “知晓有人的人工智能”——IJCAI 2016. 中国计算机学会通讯, 2016, 12(10): 76-77. (Link) (PDF)

• 钱鸿. 农业机器人的崛起不会播下失业的种子(译文). 中国人工智能学会通讯, 2016, 6(9): 51-52. (PDF)

• 钱鸿, 王彪, 沈嘉明, 俞扬, 王新兵. 人工智能的春节联欢——AAAI 2016. 中国计算机学会通讯, 2016, 12(3): 77-80. (PDF)

Teaching Assistant

1. Data Mining (for M.Sc. students), Fall, 2016

   1. Course Page

   2. Course Assignments Page

2. Data Mining (for M.Sc. students), Fall, 2015

   1. Course Page

   2. Course Assignments Page

3. Introduction to Data Mining (for undergraduate students), Spring, 2014

Awards & Honors & Contests

• Awardee supported by the Program A for Outstanding Ph.D. Candidates of Nanjing University, 2018

• Outstanding Graduate Student Pacesetter Award of Nanjing University, 2017

• Baidu Scholarships Nomination, 2017 (Link)

• First-Class Academic Scholarship of Nanjing University, 2016-2017

• 中国电科十四所国睿奖学金, 2017

• Merit Student Award of Jiangsu Province, 2017

• Outstanding Graduate Student Pacesetter Award of Nanjing University, 2016

• First-Class International Academic Exchange Award for Ph.D. Candidates of Nanjing University, 2016

• National Scholarship for Ph.D. Candidates, 2015-2016

• First-Class Academic Scholarship of Nanjing University, 2015-2016

• Second-Class Academic Scholarship of Nanjing University, 2014-2015

• Merit Scholarship for Graduate Students of Nanjing University, 2013-2014

• Outstanding Graduates Awards of Soochow University, 2013

• Meritorious Winner in America Undergraduate Mathematical Contest in Modeling (MCM/ICM), 2013

• Second Prize in China Undergraduate Mathematical Contest (Mathematics) (CMC), 2013

• National Undergraduate Scholarship, 2012-2013

• Second prize in China Undergraduate Mathematical Contest in Modeling (CUMCM), 2011

• Hui-Chun Chin and Tsung-Dao Lee Chinese Undergraduate Research Endowment (CURE) of Soochow University, 2011

Professional Services

• One of the editors of AAEO (i.e., ECOLE weekly).

• Journal reviewer: IEEE Transactions on Evolutionary Computation, Journal of Global Optimization, SCIENCE CHINA Information Sciences, Swarm and Evolutionary Computation Journal, Frontiers of Computer Science, Memetic Computing, Journal of Computer Research and Development, Chinese Journal of Computers.

• Conference PC member/reviewer/sub-reviewer: AAAI 2019, ICML 2018, ICPR 2018, PRICAI 2018, IEEE CEC 2018, CCDM 2018, NIPS 2017, ICML 2017, IJCAI 2017, SEAL 2017, IEEE CEC 2017, IEEE WCCI/CEC 2016, ICPR 2016, ACML 2016, IEEE ICTAI 2016, GECCO 2016, IEA/AIE 2015, GECCO 2015, PPSN 2014, etc.

• Student member: AAAI student member, CCF student member, CSIAM student member.

• Student volunteer: MLSS 2014, IJCAI 2016.

Correspondence

Email: qianh {AT} lamda.nju.edu.cn, hongqian08 {AT} gmail.com

Laboratory: Computer Science Building, Xianlin Campus of Nanjing University

Address: Hong Qian, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(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.)