09/2015 – 05/2021
09/2012 – 06/2015
09/2008 – 06/2012
Georgia Institute of Technology, Atlanta, U.S.
Ph.D., Computer Science, College of Computing
Advisor: Prof. Le Song
Chinese Academy of Sciences, Beijing, China
M.Eng., Computer Science, Institute of Computing Technology
Advisor: Prof. Bin Wang
Wuhan University, Wuhan, China
B.Eng., Information Security, School of Computer
Machine Learning, Deep Learning, Question Answering,
Knowledge Reasoning, Recommender Systems, Computational Advertising
06/2021 – present
01/2017 – 05/2021
05/2020 – 08/2020
05/2019 – 08/2019
05/2017 – 08/2017
09/2015 – 12/2016
02/2012 – 06/2015
09/2012 – 06/2015
07/2011 – 09/2011
06/2010 – 10/2010
Research Scientist, ByteDance, Mountain View, U.S.
Work in Applied Machine Learning (AML) research team.
Research Assistant, Georgia Institute of Technology, Atlanta, U.S.
Work in Machine Learning Group, supervised by Prof. Le Song.
Applied Scientist Intern, Amazon AWS, Palo Alto, U.S. (virtually)
Lead the project of end-to-end generative model for open-domain question answering.
Research 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.
Research Intern, Google, Mountain View, U.S.
Lead the project of question answering with knowledge graph.
Research 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.
Research Intern, Microsoft Research Asia (MSRA), Beijing, China
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.
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.
Research Assistant, Tsinghua University, Beijing, China
In charge of the development of online Elsevier APP and new-version social graph.
Research Assistant, Wuhan University, Wuhan, China
Work in Key Laboratory of Information Security and Trusted Computing (LISS), supervised by Prof. Ming Tang.
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 Workshop, 33rd 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 Systems, 8th 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]
Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song and Tao Qin, GNN is a Counter? Revisiting GNN for Question Answering, 10th International Conference on Learning Representations (ICLR 2022). [arXiv]
Yuyu Zhang*, Ping Nie* (equal contribution), Arun Ramamurthy and Le Song, Answering Any-hop Open-domain Questions with Iterative Document Reranking, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021). [arXiv] [slides]
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*, 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]
Fernando V. Senhora, Heng Chi, Yuyu Zhang, Lucia Mirabella, Tsz Ling Elaine Tang, Glaucio H. Paulino, Machine Learning for Topology Optimization: Physics-based Learning through an Independent Training Strategy, Computer Methods in Applied Mechanics and Engineering (CMAME), 2022.
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. [paper]
Yuyu Zhang, Chinese translation of “NumPy Beginner’s Guide (Second Edition)”, published by Posts & Telecom Press, 2014.
1st Place in Siemens FutureMakers Challenge, Spring 2018. Team won $140,000!
1st Place in Home Depot Deep Learning Competition, Fall 2017.
1st Place in Home Depot Deep Learning Competition, Spring 2017.
1st Place in ByteCup International Machine Learning Competition, 2016.
1st Place in RecSys Challenge, 2013.
3rd Place in Georgia Tech Data Science Student Challenge, 2016.
3rd Place & Best Algorithm Award in Baidu Movie Recommendation Algorithm Contest, 2013.
3rd Place in National Computational Advertising Contest, 2013.
5th Place in ICDM Challenge, 2013.
7th Place in Alibaba Big Data Contest, 2014.
Meritorious Winner of Mathematical Contest in Modeling (MCM), 2011.
2nd Prize in National Undergraduate Information Security Contest, 2010.
3rd Prize in "Eming Cup" Programming Contest of Wuhan University, 2010.
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.
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.
"Power of Big Data", Aliyun Worldwide Developers Conference (AWDC), 2014.
"Rating Prediction with Hybrid Models", Peking University, 2013.
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.
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.
Program Committee / Reviewer: ACL, EMNLP, NeurIPS, ICML, ICLR, KDD, AAAI, IJCAI, COLING, WebConf, UAI, AISTATS
Student Volunteer: ICML, KDD