| 2020 | CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams. | Tomas Martin, Guy Francoeur, Petko Valtchev |
| 2020 | Edge AI: Systems Design and ML for IoT Data Analytics. | Radu Marculescu, Diana Marculescu, mit Y. Ogras |
| 2020 | Straddling the Boundary between Contribution and Solution Driven Science. | Daniel Marcu |
| 2020 | Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. | Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han |
| 2020 | Heidegger: Interpretable Temporal Causal Discovery. | Mehrdad Mansouri, Ali Arab, Zahra Zohrevand, Martin Ester |
| 2020 | Temporal-Contextual Recommendation in Real-Time. | Yifei Ma, Balakrishnan (Murali) Narayanaswamy, Haibin Lin, Hao Ding |
| 2020 | Discovering Functional Dependencies from Mixed-Type Data. | Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken |
| 2020 | In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints. | Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo |
| 2020 | Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. | Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates |
| 2020 | Bringing Inclusive Diversity to Data Science: Opportunities and Challenges. | Heriberto Acosta Maestre |
| 2020 | Geodesic Forests. | Meghana Madhyastha, Gongkai Li, Veronika Strnadov-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe |
| 2020 | Tight Sensitivity Bounds For Smaller Coresets. | Alaa Maalouf, Adiel Statman, Dan Feldman |
| 2020 | Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism. | Gengyu Lyu, Songhe Feng, Yidong Li |
| 2020 | AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. | Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin |
| 2020 | Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction. | Wenjuan Luo, Han Zhang, Xiaodi Yang, Lin Bo, Xiaoqing Yang, Zang Li, Xiaohu Qie, Jieping Ye |
| 2020 | HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. | Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma |
| 2020 | Local Community Detection in Multiple Networks. | Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang |
| 2020 | Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation. | Yuanfu Lu, Yuan Fang, Chuan Shi |
| 2020 | CoRE Lab - An Effort to Engage College Hispanic Students in STEM. | Wilson E. Lozano-Rolon |
| 2020 | Graph Structural-topic Neural Network. | Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin |
| 2020 | Domain Specific Knowledge Graphs as a Service to the Public: Powering Social-Impact Funding in the US. | Ying Li, Vitalii Zakhozhyi, Daniel Zhu, Luis J. Salazar |
| 2020 | Competitive Analysis for Points of Interest. | Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong |
| 2020 | AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction. | Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng |
| 2020 | RECIPTOR: An Effective Pretrained Model for Recipe Representation Learning. | Diya Li, Mohammed J. Zaki |
| 2020 | AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. | Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu |