| 2019 | Discerning Edge Influence for Network Embedding. | Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu |
| 2019 | Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. | Zigeng Wang, Abdullah-Al Mamun, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran |
| 2019 | Learning and Reasoning on Graph for Recommendation. | Xiang Wang, Xiangnan He, Tat-Seng Chua |
| 2019 | BIP! Finder: Facilitating Scientific Literature Search by Exploiting Impact-Based Ranking. | Thanasis Vergoulis, Serafeim Chatzopoulos, Ilias Kanellos, Panagiotis Deligiannis, Christos Tryfonopoulos, Theodore Dalamagas |
| 2019 | Machine Learning on Graphs with Kernels. | Michalis Vazirgiannis, Giannis Nikolentzos, Giannis Siglidis |
| 2019 | Message Passing for Complex Question Answering over Knowledge Graphs. | Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez |
| 2019 | Knowledge-Driven Analytics and Systems Impacting Human Quality of Life. | Arijit Ukil, Leandro Marn, Antonio Jara, John R. Farserotu |
| 2019 | One-Class Active Learning for Outlier Detection with Multiple Subspaces. | Holger Trittenbach, Klemens Bhm |
| 2019 | Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder. | Yufei Tian, Jianfei Yu, Jing Jiang |
| 2019 | Time Series Prediction with Interpretable Data Reconstruction. | Qiangxing Tian, Jinxin Liu, Donglin Wang, Ao Tang |
| 2019 | Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring. | Hongda Tian, Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang, Fang Chen |
| 2019 | GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games. | Jianrong Tao, Linxia Gong, Changjie Fan, Longbiao Chen, Dezhi Ye, Sha Zhao |
| 2019 | Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection. | Yao Tan, Liu Yang, Qinghua Hu, Zhibin Du |
| 2019 | UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction. | Qingxiong Tan, Andy Jinhua Ma, Mang Ye, Baoyao Yang, Huiqi Deng, Vincent Wai-Sun Wong, Yee-Kit Tse, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Jessica Yuet-Ling Ching, Francis Ka-Leung Chan, Pong C. Yuen |
| 2019 | Achieve Privacy-Preserving Truth Discovery in Crowdsensing Systems. | Jianchao Tang, Shaojing Fu, Ming Xu, Yuchuan Luo, Kai Huang |
| 2019 | Deep Colorization by Variation. | Zineng Tang |
| 2019 | What Can History Tell Us? | Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen |
| 2019 | BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. | Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang |
| 2019 | MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science. | Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish, Bill Howe, Julia Stoyanovich |
| 2019 | Personalized Route Description Based On Historical Trajectories. | Han Su, Guanglin Cong, Wei Chen, Bolong Zheng, Kai Zheng |
| 2019 | Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms. | Avikalp Srivastava, Hsin Wen Liu, Sumio Fujita |
| 2019 | Identifying Facet Mismatches In Search Via Micrographs. | Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor |
| 2019 | AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. | Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang |
| 2019 | Session-based Recommendation with Hierarchical Memory Networks. | Bo Song, Yi Cao, Weifeng Zhang, Congfu Xu |
| 2019 | International Workshop on Model Selection and Parameter Tuning in Recommender Systems. | Fikret Sivrikaya, Sahin Albayrak, Defu Lian |