| 2019 | Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. | Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu |
| 2019 | Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning. | Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu |
| 2019 | Federated Topic Modeling. | Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang |
| 2019 | Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. | Jyun-Yu Jiang, Zehan Chao, Andrea L. Bertozzi, Wei Wang, Sean D. Young, Deanna Needell |
| 2019 | Active Collaborative Sensing for Energy Breakdown. | Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse |
| 2019 | Unsupervised Representation Learning of Spatial Data via Multimodal Embedding. | Porter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li |
| 2019 | Document in Context of its Time (DICT): Providing Temporal Context to Support Analysis of Past Documents. | Adam Jatowt, Ricardo Campos, Sourav S. Bhowmick, Antoine Doucet |
| 2019 | Geolocating Tweets in any Language at any Location. | Mike Izbicki, Vagelis Papalexakis, Vassilis J. Tsotras |
| 2019 | Untitled record | Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan |
| 2019 | A Semantics Aware Random Forest for Text Classification. | Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang |
| 2019 | AdaFair: Cumulative Fairness Adaptive Boosting. | Vasileios Iosifidis, Eirini Ntoutsi |
| 2019 | Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling. | Won-Seok Hwang, Jeong-Han Yun, Jonguk Kim, HyoungChun Kim |
| 2019 | A Benchmark for Fact Checking Algorithms Built on Knowledge Bases. | Viet-Phi Huynh, Paolo Papotti |
| 2019 | Datalog Reasoning over Compressed RDF Knowledge Bases. | Pan Hu, Jacopo Urbani, Boris Motik, Ian Horrocks |
| 2019 | Deep Dynamic Fusion Network for Traffic Accident Forecasting. | Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo |
| 2019 | System Deterioration Detection and Root Cause Learning on Time Series Graphs. | Hao Huang, Shinjae Yoo, Yunwen Xu |
| 2019 | Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. | Chao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla |
| 2019 | DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting. | Siteng Huang, Donglin Wang, Xuehan Wu, Ao Tang |
| 2019 | Similarity-Aware Network Embedding with Self-Paced Learning. | Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla |
| 2019 | Exploring Multi-Objective Exercise Recommendations in Online Education Systems. | Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu |
| 2019 | MiCRon: Making Sense of News via Relationship Subgraphs. | Zixian Huang, Shuxin Li, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu |
| 2019 | Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach. | Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang |
| 2019 | Untitled record | Shifu Hou, Yujie Fan, Yiming Zhang, Yanfang Ye, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao |
| 2019 | Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. | Babak Hosseini, Barbara Hammer |
| 2019 | A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. | Yun He, Jianling Wang, Wei Niu, James Caverlee |