| 2018 | Arbitrary-Order Proximity Preserved Network Embedding. | Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu |
| 2018 | Trajectory-driven Influential Billboard Placement. | Ping Zhang, Zhifeng Bao, Yuchen Li, Guoliang Li, Yipeng Zhang, Zhiyong Peng |
| 2018 | Learning and Interpreting Complex Distributions in Empirical Data. | Chengxi Zang, Peng Cui, Wenwu Zhu |
| 2018 | Learning Deep Network Representations with Adversarially Regularized Autoencoders. | Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang |
| 2018 | NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. | Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang |
| 2018 | Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. | Zhuoning Yuan, Xun Zhou, Tianbao Yang |
| 2018 | Safe Triplet Screening for Distance Metric Learning. | Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama |
| 2018 | Deep Distributed Fusion Network for Air Quality Prediction. | Xiuwen Yi, Junbo Zhang, Zhaoyuan Wang, Tianrui Li, Yu Zheng |
| 2018 | Transcribing Content from Structural Images with Spotlight Mechanism. | Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu |
| 2018 | Graph Convolutional Neural Networks for Web-Scale Recommender Systems. | Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec |
| 2018 | Model-based Clustering of Short Text Streams. | Jianhua Yin, Daren Chao, Zhongkun Liu, Wei Zhang, Xiaohui Yu, Jianyong Wang |
| 2018 | RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization. | Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang |
| 2018 | Multi-User Mobile Sequential Recommendation: An Efficient Parallel Computing Paradigm. | Zeyang Ye, Lihao Zhang, Keli Xiao, Wenjun Zhou, Yong Ge, Yuefan Deng |
| 2018 | Customized Regression Model for Airbnb Dynamic Pricing. | Peng Ye, Julian Qian, Jieying Chen, Chen-Hung Wu, Yitong Zhou, Spencer De Mars, Frank Yang, Li Zhang |
| 2018 | An Iterative Global Structure-Assisted Labeled Network Aligner. | Abdurrahman Yasar, mit V. atalyrek |
| 2018 | Can Who-Edits-What Predict Edit Survival? | Ali Batuhan Yardim, Victor Kristof, Lucas Maystre, Matthias Grossglauser |
| 2018 | Coupled Context Modeling for Deep Chit-Chat: Towards Conversations between Human and Computer. | Rui Yan, Dongyan Zhao |
| 2018 | Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. | Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi |
| 2018 | Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. | Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang |
| 2018 | I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. | Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han |
| 2018 | Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach. | Zhe Xu, Zhixin Li, Qingwen Guan, Dingshui Zhang, Qiang Li, Junxiao Nan, Chunyang Liu, Wei Bian, Jieping Ye |
| 2018 | New Robust Metric Learning Model Using Maximum Correntropy Criterion. | Jie Xu, Lei Luo, Cheng Deng, Heng Huang |
| 2018 | SQR: Balancing Speed, Quality and Risk in Online Experiments. | Ya Xu, Weitao Duan, Shaochen Huang |
| 2018 | RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data. | Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun |
| 2018 | SysML: On System and Algorithm Co-design for Practical Machine Learning. | Eric P. Xing |