Yuyu Zhang

https://sites.google.com/site/yuyuzhang90/resume/yuyu.jpg   

Email

yuyu@gatech.edu

Mailing Address
:
Georgia Tech CSE Klaus Bldg
266 Ferst Drive
Atlanta, GA 30332-0765


[CV] [Google Scholar]

Education

09/2015 – present Georgia Institute of Technology, Atlanta, U.S.
Ph.D. candidate, Computer Science, College of Computing
Advisor: Prof. Le Song
09/2012 – 06/2015 Chinese Academy of SciencesBeijing, China
M.Eng, Computer Science, Institute of Computing Technology
Advisor: Prof. Bin Wang
09/2008 – 06/2012 Wuhan University, Wuhan, China
B.Eng, Information Security, School of Computer

Research Interests

Machine Learning, Deep Learning, Question Answering,
Knowledge Reasoning, Recommender Systems, Computational Advertising

Research Experience

01/2017 – present
Research Assistant, Georgia Institute of Technology, Atlanta, U.S.
  • Work in Machine Learning Group, supervised by Prof. Le Song.
05/2020 – 08/2020Applied Scientist Intern, Amazon AWS, Palo Alto, U.S. (virtually)
  • Work in AI Lab, supervised by Davis Liang and Zhiheng Huang.
  • Lead the project of end-to-end generative model for open-domain question answering.
05/2019 – 08/2019Research Intern, Siemens Corporate Technology, Princeton, U.S.
  • Work in Product Modeling and Simulation Group, supervised by Arun Ramamurthy.
  • Lead the project of logic rule induction on knowledge graph.
05/2017 – 08/2017Research Intern, Google, Mountain View, U.S.
  • Work in Google Brain, supervised by Xin Pan.
  • Lead the project of question answering with knowledge graph.
09/2015 – 12/2016Research Assistant, Georgia Institute of Technology, Atlanta, U.S.
  • Work in SunLab, supervised by Prof. Jimeng Sun.
  • Lead the project of deep reinforcement learning for healthcare applications.
  • Lead the project of Bayesian optimization for tuning data analytic pipelines. Paper published in KDD 2016.
02/2012 – 06/2015 Research Intern, Microsoft Research Asia (MSRA), Beijing, China
  • Work in Machine Learning Group, supervised by Dr. Tie-Yan Liu and Lead Researcher Taifeng Wang.
  • Lead the project of distributed deep learning system.
  • Lead the project of click prediction for sponsored search. Paper published in AAAI 2014.
  • Main contributor in the project of psychological advertising. Paper published in KDD 2013.
09/2012 – 06/2015 Research Assistant, Chinese Academy of Sciences (CAS), Beijing, China
  • Work in Institute of Computing Technology (ICT), supervised by Prof. Bin Wang.
  • Lead the project of large scale purchase prediction. Paper published in RecSys 2014.
07/2011 – 09/2011 Research Assistant, Tsinghua UniversityBeijing, China
06/2010 – 10/2010 Research Assistant, Wuhan University, Wuhan, China
  • Work in Key Laboratory of Information Security and Trusted Computing (LISS), supervised by Prof. Ming Tang.
  • Lead the project of SCA-resistant crypto chip design, which has led to a national contest prize and a patent.

Publications

Preprint

  • Yuyu Zhang*, Ping Nie* (equal contribution), Arun Ramamurthy and Le Song, Answering Any-hop Open-domain Questions with Iterative Document Reranking, arXiv, 2020. [arXiv]
  • Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi and Le Song, Can Graph Neural Networks Help Logic Reasoning? Knowledge Representation & Reasoning Meets Machine Learning Workshop33rd Conference on Neural Information Processing Systems (NeurIPS 2019). [arXiv] [poster]
  • Yuyu Zhang, Hanjun Dai, Kamil Toraman and Le Song, KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings, arXiv, 2018. [arXiv]
  • Yuyu Zhang, Liang Pang, Lei Shi and Bin Wang, Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform, 2nd Workshop on Large Scale Recommender Systems8th ACM Conference on Recommender System (RecSys 2014). [arXiv]
  • Xudong Liu, Bing Xu, Yuyu Zhang, Qiang Yan, Liang Pang, Qiang Li, Hanxiao Sun and Bin Wang, Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches, Workshop on ICDM Challenge, IEEE International Conference on Data Mining (ICDM 2013). [arXiv]

Conference

  • Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi and Wei Chu, Question Directed Graph Attention Network for Numerical Reasoning over Text, The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). [arXiv] [slides]
  • Yuyu Zhang*, Ping Nie* (equal contribution), Xiubo Geng, Arun Ramamurthy, Le Song and Daxin Jiang, DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). [arXiv]
  • Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi and Le Song, Efficient Probabilistic Logic Reasoning with Graph Neural Networks, 8th International Conference on Learning Representations (ICLR 2020). [arXiv] [code]
  • Yuyu Zhang and Le Song, Language Modeling with Shared Grammar, 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), oral presentation. [paper] [slides]
  • Yuyu Zhang*, Hanjun Dai* (equal contribution), Zornitsa Kozareva, Alexander J. Smola and Le Song, Variational Reasoning for Question Answering with Knowledge Graph, 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), oral presentation. [arXiv] [code]
  • Hanjun Dai*, Elias B. Khalil* (equal contribution), Yuyu Zhang, Bistra Dilkina and Le Song, Learning Combinatorial Optimization Algorithms over Graphs, 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), spotlight presentation. [arXiv] [code]
  • Yuyu Zhang, Mohammad Taha Bahadori, Hang Su and Jimeng Sun, FLASH: Fast Bayesian Optimization for Data Analytic Pipelines, 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016). [arXiv] [code] [slides] [poster]
  • Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang and Tie-Yan Liu, Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks, 28th AAAI Conference on Artificial Intelligence (AAAI 2014). [arXiv]
  • Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang and Tie-Yan Liu, Psychological Advertising: Exploring User Psychology for Click Prediction in Sponsored Search, 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2013). [paper]
Journal
  • Heng Chi, Yuyu Zhang, Tsz Ling Elaine Tang, Lucia Mirabella, Livio Dalloro, Le Song and Glaucio H. Paulino, Universal Machine Learning for Topology Optimization, Computer Methods in Applied Mechanics and Engineering (CMAME), 2019.
Book
  • Yuyu Zhang, Chinese translation of “NumPy Beginner’s Guide (Second Edition)”, published by Posts & Telecom Press, 2014.

Contest Awards

Selected Honors

  • Siemens FutureMakers Fellowship, 2019.
  • SIGKDD Student Travel Award, 2016.
  • Top 10 Outstanding Students (from all undergraduates and graduates) of Wuhan University (< 0.02%), 2012.
  • Alibaba Star Program (top 5 fresh graduates of the year), 2014.
  • HNA Academic Excellence Scholarship (< 1%), 2011.
  • TYDIC Software Scholarship (< 1%), 2010.
  • National Scholarship (< 2%), 2009.
  • Bewinner Postgraduate Scholarship, 2014.
  • Outstanding Graduate of Wuhan University (< 10%), 2012.
  • Merit Student Model of Wuhan University (< 1%), 2011.
  • Outstanding Student Leader of Wuhan University, 2010.
  • Top 10 Singers of Chinese Academy of Sciences, 2013.

Patent

  • CN 101908111A: "A Methodology and System for Secret Key Extraction Using the Polarity of DPA Curve", with Ming Tang, Si Gao, et al., Wuhan University, 2010.

Invited Talks

  • "Power of Big Data", Aliyun Worldwide Developers Conference (AWDC), 2014.
  • "Rating Prediction with Hybrid Models", Peking University, 2013.

Other Activities

  • Leader of MSRA Intern Committee Activity Team, 2014 – 2015.
  • Microsoft Campus Ambassador, 2010 – 2011.
  • Vice Chairman of Computer School Student Union, Wuhan University, 2009 – 2010.

Programming Skills

Teaching

  • Guest Lecturer of CSE 6242 for Prof. Polo Chau, Fall 2017. Over 280 students!
  • Graduate Teaching Assistant of CSE 6242 / CX4242, Data and Visual Analytics, Fall 2017.
  • Guest Lecturer of CSE 6240 for Dr. Andrew Gardner, Spring 2017. Over 110 students!
  • Graduate Teaching Assistant of CSE 6240, Web Search and Text Mining, Spring 2017.

Professional Service

  • Program Committee / Reviewer: ACL, EMNLP, NeurIPS, ICML, ICLR, KDD, AAAI, IJCAI, COLING, WebConf, UAI, AISTATS
  • Student Volunteer: ICML, KDD