Weijie Zhao   赵炜捷

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Bio

I am a researcher in Baidu Research USA. At Baidu, I work with Ping Li to investigate exciting problems in big data and machine learning systems. Before that, I received my Ph.D degree from University of California, Merced in 2018 (advisor Florin Rusu). I'm working on scalable machine learning systems, approximate nearest neighbor search, scientific data processing and database systems.

Selected Publications

Conference & Journal

• Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, and Ping Li. 2021. "Norm Adjusted Proximity Graph for Fast Inner Product Retrieval". In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21).
• Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, and Ping Li. 2021. "Multi-Type Textual Reasoning for Product-Aware Answer Generation". In Proceedings of the 44rd International ACM SIGIR conference on research and development in Information Retrieval (SIGIR '21).
• Zhiqiang Xu, Dong Li, Weijie Zhao, Xing Shen, Tianbo Huang, Xiaoyun Li, and Ping Li. 2021. "Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems". In Proceedings of the 2021 International Conference on Management of Data (SIGMOD '21).
• Ping Li, Xiaoyun Li, Gennady Samorodnitsky, and Weijie Zhao. 2021. "Consistent Sampling Through Extremal Process". In Proceedings of The Web Conference 2021 (WWW '21).
• Shaogang Ren, Weijie Zhao, and Ping Li. 2020. "Thunder: a Fast Coordinate Selection Solver for Sparse Learning". In Advances in Neural Information Processing Systems 2020 (NeurIPS '20).
• Weijie Zhao, Shulong Tan, and Ping Li. 2020. "SONG: Approximate Nearest Neighbor Search on GPU". In Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE '20). [code].
• Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, and Ping Li. 2020. "Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems". In Proceedings of the 3rd Conference on Machine Learning and Systems (MLSys '20).
• Weijie Zhao, Jingyuan Zhang, Deping Xie, Yulei Qian, Ronglai Jia, and Ping Li. 2019. "AIBox: CTR Prediction Model Training on a Single Node". In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM '19).
• Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Ho, Peter Nugent. 2018. "Distributed Caching for Processing Raw Arrays". In Proceedings of the 30th International Conference on Scientific and Statistical Database Management (SSDBM '18).
• Anna YQ Ho, S. R. Kulkarni, Peter E. Nugent, Weijie Zhao, Florin Rusu et al. "iPTF Archival Search for Fast Optical Transients.". The Astrophysical Journal Letters 854, no. 1 (2018): L13.
• Mansi M. Kasliwal et al. (including Weijie Zhao). 2017. "Illuminating Gravitational Waves: a Concordant Picture of Photons from a Neutron Star Merger". Science (2017): eaap9455.
• Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, and Peter Nugent. 2017. "Incremental View Maintenance over Array Data". In Proceedings of the 2017 International Conference on Management of Data (SIGMOD '17). (teaser video).
• Yu Cheng, Weijie Zhao, and Florin Rusu. 2017. "Bi-Level Online Aggregation on Raw Data". In Proceedings of the 29th International Conference on Scientific and Statistical Database Management (SSDBM '17).
• Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, and Florin Rusu. 2017. "ArrayUDF: User-Defined Scientific Data Analysis on Arrays". In Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing (HPDC '17).
• Weijie Zhao, Florin Rusu, Bin Dong, and Kesheng Wu. 2016. "Similarity Join over Array Data". In Proceedings of the 2016 International Conference on Management of Data (SIGMOD '16).
• Weijie Zhao, Yu Cheng, and Florin Rusu. 2015. "Vertical partitioning for query processing over raw data". In Proceedings of the 27th International Conference on Scientific and Statistical Database Management (SSDBM '15).

Technical Report

• Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, and Peter Nugent."Distributed Caching for Complex Querying of Raw Arrays", CoRR 1803.06089, March 2018.
• Yu Cheng, Weijie Zhao, and Florin Rusu."OLA-RAW: Scalable Exploration over Raw Data", CoRR 1702.00358, February 2017.
• Weijie Zhao, Yu Cheng, and Florin Rusu."Workload-Driven Vertical Partitioning for Effective Query Processing over Raw Data", CoRR 1503.08946, March 2015.

Poster

• Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, and Peter Nugent."Incremental View Maintenance over Array Data", NorCal Database Day 2017, San Francisco, California, April 2017.
• Zhiyi Huang, Weijie Zhao, and Florin Rusu."Initialization-Free Online Aggregation with Adaptive Sampling", NorCal Database Day 2017, San Francisco, California, April 2017.
• Yu Cheng, Weijie Zhao, and Florin Rusu."Online Aggregation on Raw Data", NorCal Database Day 2016, Mountain View, California, April 2016.
• Weijie Zhao, Florin Rusu, Bin Dong, and Kesheng Wu."Similarity Join over Array Data", NorCal Database Day 2016, Mountain View, California, April 2016.
• Weijie Zhao, Yu Cheng, and Florin Rusu."Vertical Partitioning for Query Processing over Raw Data", NorCal Database Day 2015, Santa Cruz, California, April 2015.

My Google Scholar page is here.