| 2020 | Social Factors in Closed-Network Content Consumption. | Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah |
| 2020 | Evaluating Trace Encoding Methods in Process Mining. | Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares |
| 2020 | T-REX: A Topic-Aware Relation Extraction Model. | Woohwan Jung, Kyuseok Shim |
| 2020 | Sequential Recommender via Time-aware Attentive Memory Network. | Wendi Ji, Keqiang Wang, Xiaoling Wang, Tingwei Chen, Alexandra I. Cristea |
| 2020 | Learning Effective Representations for Person-Job Fit by Feature Fusion. | Junshu Jiang, Songyun Ye, Wei Wang, Jingran Xu, Xiaosheng Luo |
| 2020 | MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning. | Jyun-Yu Jiang, Zeyu Li, Chelsea J.-T. Ju, Wei Wang |
| 2020 | DistilSum: : Distilling the Knowledge for Extractive Summarization. | Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu, Jianlong Tan |
| 2020 | Symbolic Vs Sub-symbolic AI Methods: Friends or Enemies? | Eleni Ilkou, Maria Koutraki |
| 2020 | SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs. | Enrique Iglesias, Samaneh Jozashoori, David Chaves-Fraga, Diego Collarana, Maria-Esther Vidal |
| 2020 | More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings. | Andreea Iana, Heiko Paulheim |
| 2020 | Loan Default Analysis with Multiplex Graph Learning. | Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi |
| 2020 | DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation. | Hailin Hu, MingJian Tang, Chengcheng Bai |
| 2020 | Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach. | Bo Hui, Da Yan, Wei-Shinn Ku, Wenlu Wang |
| 2020 | Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network. | Tiancheng Huang, Zifeng Zhuang, Shanshan Zhang, Donglin Wang |
| 2020 | GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation. | Yajun Huang, Jingbin Zhang, Yiyang Yang, Zhiguo Gong, Zhifeng Hao |
| 2020 | Enhanced Story Representation by ConceptNet for Predicting Story Endings. | Shanshan Huang, Kenny Q. Zhu, Qianzi Liao, Libin Shen, Yinggong Zhao |
| 2020 | Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning. | Hao Huang, Chenxiao Xu, Shinjae Yoo, Weizhong Yan, Tianyi Wang, Feng Xue |
| 2020 | Personalized Flight Itinerary Ranking at Fliggy. | Jinhong Huang, Yang Li, Shan Sun, Bufeng Zhang, Jin Huang |
| 2020 | Image Captioning with Internal and External Knowledge. | Feicheng Huang, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma |
| 2020 | Approximate Event Pattern Matching over Heterogeneous and Dirty Sources. | Ruihong Huang |
| 2020 | Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems. | Kai Hua, Zhiyuan Feng, Chongyang Tao, Rui Yan, Lu Zhang |
| 2020 | WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social Networks. | Bay-Yuan Hsu, Chih-Ya Shen, Ming-Yi Chang |
| 2020 | IWILDS'20: The 1st International Workshop on Investigating Learning during Web Search. | Anett Hoppe, Ran Yu, Yvonne Kammerer, Ladislao Salmern |
| 2020 | Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. | Sebastian Hofsttter, Markus Zlabinger, Mete Sertkan, Michael Schrder, Allan Hanbury |
| 2020 | Learning to Re-Rank with Contextualized Stopwords. | Sebastian Hofsttter, Aldo Lipani, Markus Zlabinger, Allan Hanbury |