| 2020 | GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. | Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty |
| 2020 | CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums. | Alex Morales, Kanika Narang, Hari Sundaram, Chengxiang Zhai |
| 2020 | Efficient Database Search via Tensor Distribution Bucketing. | Mihir Mongia, Benjamin Soudry, Arash Gholami Davoodi, Hosein Mohimani |
| 2020 | Modeling Citation Trajectories of Scientific Papers. | Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty |
| 2020 | Optimal Subgroup Discovery in Purely Numerical Data. | Alexandre Millot, Rmy Cazabet, Jean-Franois Boulicaut |
| 2020 | Adversarial Autoencoder and Multi-Task Semi-Supervised Learning for Multi-stage Process. | Andre Mendes, Julian Togelius, Leandro dos Santos Coelho |
| 2020 | What's in a Gist? Towards an Unsupervised Gist Representation for Few-Shot Large Document Classification. | Jaron Mar, Jiamou Liu |
| 2020 | Node Conductance: A Scalable Node Centrality Measure on Big Networks. | Tianshu Lyu, Fei Sun, Yan Zhang |
| 2020 | LoPAD: A Local Prediction Approach to Anomaly Detection. | Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu |
| 2020 | Student Academic Performance Prediction Using Deep Multi-source Behavior Sequential Network. | Xiang Li, Xinning Zhu, Xiaoying Zhu, Yang Ji, Xiaosheng Tang |
| 2020 | Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features. | Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi, Cheng Hang, Yi Lu |
| 2020 | SGCN: A Graph Sparsifier Based on Graph Convolutional Networks. | Jiayu Li, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, Reza Zafarani |
| 2020 | Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. | Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng |
| 2020 | Mining Dynamic Graph Streams for Predictive Queries Under Resource Constraints. | Xuanming Liu, Tingjian Ge |
| 2020 | Context-Aware Latent Dirichlet Allocation for Topic Segmentation. | Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki |
| 2020 | Fashion Recommendation with Multi-relational Representation Learning. | Yang Li, Yadan Luo, Zi Huang |
| 2020 | BRUNCH: Branching Structure Inference of Hybrid Multivariate Hawkes Processes with Application to Social Media. | Hui Li, Hui Li, Sourav S. Bhowmick |
| 2020 | Inferring Restricted Regular Expressions with Interleaving from Positive and Negative Samples. | Yeting Li, Haiming Chen, Lingqi Zhang, Bo Huang, Jianzhao Zhang |
| 2020 | EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining. | Ning Li, Chi-Yin Chow, Jia-Dong Zhang |
| 2020 | Data Centers Job Scheduling with Deep Reinforcement Learning. | Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen |
| 2020 | Exploiting the Matching Information in the Support Set for Few Shot Event Classification. | Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen |
| 2020 | Fast Community Detection with Graph Sparsification. | Jesse Laeuchli |
| 2020 | Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data. | Heeyoung Kwak, Minwoo Lee, Seunghyun Yoon, Jooyoung Chang, Sang Min Park, Kyomin Jung |
| 2020 | Accurate News Recommendation Coalescing Personal and Global Temporal Preferences. | Bonhun Koo, Hyunsik Jeon, U Kang |
| 2020 | On the Performance of Oversampling Techniques for Class Imbalance Problems. | Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bck |