| 2019 | Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. | Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang |
| 2019 | GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. | Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis |
| 2019 | A Deep Generative Approach to Search Extrapolation and Recommendation. | Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu |
| 2019 | Applying Deep Learning to Airbnb Search. | Malay Haldar, Mustafa Abdool, Prashant Ramanathan, Tao Xu, Shulin Yang, Huizhong Duan, Qing Zhang, Nick Barrow-Williams, Bradley C. Turnbull, Brendan M. Collins, Thomas Legrand |
| 2019 | Internal Promotion Optimization. | Rupesh Gupta, Guangde Chen, Shipeng Yu |
| 2019 | Streaming Session-based Recommendation. | Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung |
| 2019 | Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior. | Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, Bin Cui |
| 2019 | Deep Natural Language Processing for Search and Recommender Systems. | Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal |
| 2019 | 4 Perspectives in Human-Centered Machine Learning. | Carlos Guestrin |
| 2019 | Attribute-Driven Backbone Discovery. | Sheng Guan, Hanchao Ma, Yinghui Wu |
| 2019 | Recurrent Neural Networks for Stochastic Control in Real-Time Bidding. | Nicolas Grislain, Nicolas Perrin, Antoine Thabault |
| 2019 | Seven Years of Data Science at Airbnb. | Elena Grewal |
| 2019 | Assessing The Factual Accuracy of Generated Text. | Ben Goodrich, Vinay Rao, Peter J. Liu, Mohammad Saleh |
| 2019 | Exact-K Recommendation via Maximal Clique Optimization. | Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu |
| 2019 | Welfare Maximization in Online Two-sided Marketplaces. | Sreenivas Gollapudi |
| 2019 | Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search. | Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi |
| 2019 | LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction. | Yangli-ao Geng, Qingyong Li, Tianyang Lin, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, Yijun Zhang |
| 2019 | ProGAN: Network Embedding via Proximity Generative Adversarial Network. | Hongchang Gao, Jian Pei, Heng Huang |
| 2019 | Conditional Random Field Enhanced Graph Convolutional Neural Networks. | Hongchang Gao, Jian Pei, Heng Huang |
| 2019 | Graph Representation Learning via Hard and Channel-Wise Attention Networks. | Hongyang Gao, Shuiwang Ji |
| 2019 | Explainable AI in Industry. | Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly |
| 2019 | AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization. | Cong Fu, Yonghui Zhang, Deng Cai, Xiang Ren |
| 2019 | Scaling Multi-Armed Bandit Algorithms. | Edouard Fouch, Junpei Komiyama, Klemens Bhm |
| 2019 | Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction. | Hongliang Fei, Shulong Tan, Ping Li |
| 2019 | Real-time Event Detection on Social Data Streams. | Mateusz Fedoryszak, Brent Frederick, Vijay Rajaram, Changtao Zhong |