| 2018 | False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled Experiments. | Yuxiang Xie, Nanyu Chen, Xiaolin Shi |
| 2018 | Geographical Hidden Markov Tree for Flood Extent Mapping. | Miao Xie, Zhe Jiang, Arpan Man Sainju |
| 2018 | On Discrimination Discovery and Removal in Ranked Data using Causal Graph. | Yongkai Wu, Lu Zhang, Xintao Wu |
| 2018 | Decoupled Learning for Factorial Marked Temporal Point Processes. | Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha |
| 2018 | Deep Censored Learning of the Winning Price in the Real Time Bidding. | Wush Chi-Hsuan Wu, Mi-Yen Yeh, Ming-Syan Chen |
| 2018 | Scalable Spectral Clustering Using Random Binning Features. | Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal |
| 2018 | SDREGION: Fast Spotting of Changing Communities in Biological Networks. | Serene W. H. Wong, Chiara Pastrello, Max Kotlyar, Christos Faloutsos, Igor Jurisica |
| 2018 | Data for Good: Abstract. | Jeannette M. Wing |
| 2018 | IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. | Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li |
| 2018 | Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. | Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha |
| 2018 | Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. | Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu |
| 2018 | Towards Mitigating the Class-Imbalance Problem for Partial Label Learning. | Jing Wang, Min-Ling Zhang |
| 2018 | Neural Memory Streaming Recommender Networks with Adversarial Training. | Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang |
| 2018 | Towards Evolutionary Compression. | Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao |
| 2018 | Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention. | Jingyuan Wang, Xiaojian Wang, Junjie Wu |
| 2018 | Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis. | Jingyuan Wang, Ze Wang, Jianfeng Li, Junjie Wu |
| 2018 | Learning Credible Models. | Jiaxuan Wang, Jeeheh Oh, Haozhu Wang, Jenna Wiens |
| 2018 | EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. | Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao |
| 2018 | Multi-Type Itemset Embedding for Learning Behavior Success. | Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh V. Chawla |
| 2018 | Smoothed Dilated Convolutions for Improved Dense Prediction. | Zhengyang Wang, Shuiwang Ji |
| 2018 | Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. | Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee |
| 2018 | You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. | Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal |
| 2018 | Learning to Estimate the Travel Time. | Zheng Wang, Kun Fu, Jieping Ye |
| 2018 | Data Science and Entertainment Production. | Jen Walraven |
| 2018 | A Dynamic Pipeline for Spatio-Temporal Fire Risk Prediction. | Bhavkaran Singh Walia, Qianyi Hu, Jeffrey Chen, Fangyan Chen, Jessica Lee, Nathan Kuo, Palak Narang, Jason Batts, Geoffrey Arnold, Michael Madaio |