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Hi there. I'm now a data scientist at the Trade Desk.
I previously got my CS PhD from Rensselaer Polytechnic Institute. My advisors are Prof. Mohammed J. Zaki and Prof. Heng Ji.
My research interests lie in Data Mining, Natural Language Processing and Machine Learning.
I received B.S. in Computer Science and Technology from Renmin University of China in 2017. I have also worked at Tencent AI lab and NIH as a research intern.
Contact :
Email: 916lidiya@gmail.com
Selected publication:
Selected publication:
Diya Li and Mohammed J. Zaki, Reciptor: An Effective Pretrained Model for RecipeRepresentation Learning. Proc. of the 26rd International Conference on Knowledge Discovery and Data Mining (SIGKDD 2020)
Diya Li, Lifu Huang, Heng Ji, and Jiawei Han. Biomedical Event Extraction based on Knowledge-driven Tree-LSTM. Proc. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT2019)
Diya Li and Heng Ji. Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction. Proc. EMNLP2019 Workshop on Health Text Mining and Information Analysis
Diya Li and Jianxi Gao. Towards Perturbation Prediction of Biological Networks Using Deep Learning. Scientific reports 9.1 (2019): 1-9.
Zhicheng Dou, Xue Yang, Diya Li, Ji-Rong Wen, and Tetsuya Sakai. Low-cost, Bottom-up Measures for Evaluating Search Result Diversification. Information Retrieval Journal (2019): 1-28.
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