| 2019 | Machine Comprehension-Incorporated Relevance Matching. | Chen Zhang, Hao Wang, Liang Zhou, Yijun Wang, Can Chen |
| 2019 | On Fairness-Aware Learning for Non-discriminative Decision-Making. | Wenbin Zhang, Xuejiao Tang, Jianwu Wang |
| 2019 | Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. | Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang |
| 2019 | Deep Learning Based Dynamic Pricing Model for Hotel Revenue Management. | Qing Zhang, Liyuan Qiu, Huaiwen Wu, Jinshan Wang, Hengliang Luo |
| 2019 | KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction. | Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, Qinghua Zheng |
| 2019 | SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. | Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain |
| 2019 | Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. | Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo |
| 2019 | TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. | Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo |
| 2019 | Discovering Relevant Reviews for Answering Product-Related Queries. | Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Ccile Paris |
| 2019 | PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond. | Jiasheng Zhang, Thai Le, Yiming Liao, Dongwon Lee |
| 2019 | Experiments with Random Projections Ensembles: Linear Versus Quadratic Discriminants. | Xi Zhang, Ata Kabn |
| 2019 | Fast Sparse Coding Inference with Historical Information. | Zhenchang Zhang, Fei Jiang, Ruimin Shen |
| 2019 | Generalized Adversarial Training in Riemannian Space. | Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain |
| 2019 | PERCeIDs: PERiodic CommunIty Detection. | Lin Zhang, Alexander Gorovits, Petko Bogdanov |
| 2019 | Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. | Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, Po Li |
| 2019 | Dynamic News Recommendation with Hierarchical Attention Network. | Hui Zhang, Xu Chen, Shuai Ma |
| 2019 | Generation of Low Distortion Adversarial Attacks via Convex Programming. | Tianyun Zhang, Sijia Liu, Yanzhi Wang, Makan Fardad |
| 2019 | Learning Joint Embedding for Cross-Modal Retrieval. | Donghuo Zeng, Keizo Oyama |
| 2019 | Transfer Learning with Dynamic Adversarial Adaptation Network. | Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang |
| 2019 | Video Saliency Detection with Gated CNN and Residual Architecture. | Hang Yu, Derong Chen, Jiulu Gong |
| 2019 | Self-Attentive Attributed Network Embedding Through Adversarial Learning. | Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang |
| 2019 | Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction. | Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, Shuiwang Ji |
| 2019 | Learning Review Representations from user and Product Level Information for Spam Detection. | Chunyuan Yuan, Wei Zhou, Qianwen Ma, Shangwen Lv, Jizhong Han, Songlin Hu |
| 2019 | Jointly Embedding the Local and Global Relations of Heterogeneous Graph for Rumor Detection. | Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu |
| 2019 | Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. | Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang |