| 2018 | Query of Marine Big Data Based on Graph Compression and Views. | Danfeng Zhao, Yeyi Zhang, Junchen Lin, Wei Song, Antonio Liotta, Dongmei Huang |
| 2018 | Forecasting Wavelet Transformed Time Series with Attentive Neural Networks. | Yi Zhao, Yanyan Shen, Yanmin Zhu, Junjie Yao |
| 2018 | Zero-Shot Learning: An Energy Based Approach. | Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen |
| 2018 | Why You Should Listen to This Song: Reason Generation for Explainable Recommendation. | Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Xing Xie, Xueming Qian |
| 2018 | Recommendation with Hybrid Interest Model. | Hanqing Zhao, Xu Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2018 | Online Vehicle Dispatch: from Assignment to Scheduling. | Kangjia Zhao, Wenqing Chen, Kong-wei Lye |
| 2018 | Deep Learning Based Scalable Inference of Uncertain Opinions. | Xujiang Zhao, Feng Chen, Jin-Hee Cho |
| 2018 | Small-Scale Demographic Sequences Projection Based on Time Series Clustering and LSTM-RNN. | Donglin Zhan, Shiyu Yi, Denglin Jiang |
| 2018 | A Machine Reading Comprehension-Based Approach for Featured Snippet Extraction. | Chen Zhang, Xuyuanyu Zhang, Hao Wang |
| 2018 | SINE: Scalable Incomplete Network Embedding. | Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang |
| 2018 | CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining. | Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin |
| 2018 | Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. | Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu |
| 2018 | Similarity-Based Active Learning for Image Classification Under Class Imbalance. | Chuanhai Zhang, Wallapak Tavanapong, Gavin Kijkul, Johnny Wong, Piet C. de Groen, Jung-Hwan Oh |
| 2018 | Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding. | Yizhou Zhang, Xiaojun Ma, Guojie Song |
| 2018 | Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. | Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu |
| 2018 | Large Scale Classification in Deep Neural Network with Label Mapping. | Qizhi Zhang, Kuang-Chih Lee, Hongying Bao, Yuan You, Wenjie Li, Dongbai Guo |
| 2018 | Robust Regression via Online Feature Selection Under Adversarial Data Corruption. | Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2018 | Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. | Zheng Zhang, Cole Hawkins |
| 2018 | Supervised Image Classification with Self-Paced Regularization. | Tao Zhang, Chen Gong, Wenjing Jia, Xiaoning Song, Jun Sun, Xiaojun Wu |
| 2018 | Integrative Analysis of Patient Health Records and Neuroimages via Memory-Based Graph Convolutional Network. | Xi Zhang, Jingyuan Chou, Fei Wang |
| 2018 | Billion-Scale Network Embedding with Iterative Random Projection. | Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu |
| 2018 | On the Sustainability of Blockchain Funding. | Bingsheng Zhang, Hamed Balogun |
| 2018 | Adversarially Learned Anomaly Detection. | Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar |
| 2018 | A Multi-granular Hierarchical Evaluation Model for Multiple Criteria Three Sorting. | Hong Yu, Zuoyu Sun, Guoyin Wang, Jie Li, Yongfang Xie, Gang Guo |
| 2018 | A Scalable and Extensible Blockchain Architecture. | Yue Yu, Ran Liang, Jiqiu Xu |