Baidu Research USA
1195 Bordeaux Dr
Sunnyvale, CA 94089
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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.
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).