| 2019 | Transportation: A Data Driven Approach. | Jieping Ye |
| 2019 | Enhancing Domain Word Embedding via Latent Semantic Imputation. | Shibo Yao, Dantong Yu, Keli Xiao |
| 2019 | Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning. | Yaqiang Yao, Jie Cao, Huanhuan Chen |
| 2019 | GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data. | Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sekhar Sripada, Danai Koutra |
| 2019 | Social Skill Validation at LinkedIn. | Xiao Yan, Jaewon Yang, Mikhail Obukhov, Lin Zhu, Joey Bai, Shiqi Wu, Qi He |
| 2019 | Modeling and Applications for Temporal Point Processes. | Junchi Yan, Hongteng Xu, Liangda Li |
| 2019 | Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories. | Rui Yan, Ran Le, Yang Song, Tao Zhang, Xiangliang Zhang, Dongyan Zhao |
| 2019 | Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. | Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang |
| 2019 | ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data. | Songshan Yang, Jiawei Wen, Xiang Zhan, Daniel Kifer |
| 2019 | Task-Adversarial Co-Generative Nets. | Pei Yang, Qi Tan, Hanghang Tong, Jingrui He |
| 2019 | AiAds: Automated and Intelligent Advertising System for Sponsored Search. | Xiao Yang, Daren Sun, Ruiwei Zhu, Tao Deng, Zhi Guo, Zongyao Ding, Shouke Qin, Yanfeng Zhu |
| 2019 | Estimating Cellular Goals from High-Dimensional Biological Data. | Laurence Yang, Michael A. Saunders, Jean-Christophe Lachance, Bernhard O. Palsson, Jos Bento |
| 2019 | NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching. | Dingqi Yang, Paolo Rosso, Bin Li, Philippe Cudr-Mauroux |
| 2019 | Bid Optimization by Multivariable Control in Display Advertising. | Xun Yang, Yasong Li, Hao Wang, Di Wu, Qing Tan, Jian Xu, Kun Gai |
| 2019 | OBOE: Collaborative Filtering for AutoML Model Selection. | Chengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell |
| 2019 | AliGraph: A Comprehensive Graph Neural Network Platform. | Hongxia Yang |
| 2019 | A Scalable and Plug-in Based System to Construct A Production-Level Knowledge Base. | Tomoya Yamazaki, Kentaro Nishi, Takuya Makabe, Mei Sasaki, Chihiro Nishimoto, Hiroki Iwasawa, Masaki Noguchi, Yukihiro Tagami |
| 2019 | Predicting Evacuation Decisions using Representations of Individuals' Pre-Disaster Web Search Behavior. | Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri |
| 2019 | Isolation Set-Kernel and Its Application to Multi-Instance Learning. | Bi-Cun Xu, Kai Ming Ting, Zhi-Hua Zhou |
| 2019 | Link Prediction with Signed Latent Factors in Signed Social Networks. | Pinghua Xu, Wenbin Hu, Jia Wu, Bo Du |
| 2019 | Data Science Challenges @ LinkedIn. | Ya Xu |
| 2019 | Learning Class-Conditional GANs with Active Sampling. | Ming-Kun Xie, Sheng-Jun Huang |
| 2019 | Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. | Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang |
| 2019 | Tutorial: Data Mining Methods for Drug Discovery and Development. | Cao Xiao, Jimeng Sun |
| 2019 | Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study. | Zenghua Xia, Chang Liu, Neil Zhenqiang Gong, Qi Li, Yong Cui, Dawn Song |