| 2021 | PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. | Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne |
| 2021 | Multi-way Time Series Join on Multi-length Patterns. | Md. Parvez Mollah, Vincius M. A. de Souza, Abdullah Mueen |
| 2021 | Matrix Profile XXIII: Contrast Profile: A Novel Time Series Primitive that Allows Real World Classification. | Ryan Mercer, Sara Alaee, Alireza Abdoli, Shailendra Singh, Amy C. Murillo, Eamonn J. Keogh |
| 2021 | Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho |
| 2021 | Semi-Supervised Graph Attention Networks for Event Representation Learning. | Joo Pedro Rodrigues Mattos, Ricardo M. Marcacini |
| 2021 | FGC-Stream: A novel joint miner for frequent generators and closed itemsets in data streams. | Tomas Martin, Petko Valtchev, Louis-Romain Roux |
| 2021 | Accurately Quantifying under Score Variability. | Andr Gustavo Maletzke, Denis Moreira dos Reis, Waqar Hassan, Gustavo Batista |
| 2021 | An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data. | Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Alex Alves Freitas |
| 2021 | Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis. | Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, Chen Li |
| 2021 | Preference-aware Group Task Assignment in Spatial Crowdsourcing: A Mutual Information-based Approach. | Yunchuan Li, Yan Zhao, Kai Zheng |
| 2021 | Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. | Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen |
| 2021 | Multi-objective Explanations of GNN Predictions. | Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie |
| 2021 | Mcore: Multi-Agent Collaborative Learning for Knowledge-Graph-Enhanced Recommendation. | Xujia Li, Yanyan Shen, Lei Chen |
| 2021 | SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. | Yang Lin, Irena Koprinska, Mashud Rana |
| 2021 | Deep Generation of Heterogeneous Networks. | Chen Ling, Carl Yang, Liang Zhao |
| 2021 | Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. | Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang |
| 2021 | BaT: Beat-aligned Transformer for Electrocardiogram Classification. | Xiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, Buyue Qian |
| 2021 | StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning. | Wen-Zhi Li, Ling Huang, Chang-Dong Wang, Yuxin Ye |
| 2021 | Adversarial Regularized Reconstruction for Anomaly Detection and Generation. | Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco |
| 2021 | Robust BiPoly-Matching for Multi-Granular Entities. | Ween Jiann Lee, Maksim Tkachenko, Hady W. Lauw |
| 2021 | THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting. | Geon Lee, Kijung Shin |
| 2021 | Learnable Structural Semantic Readout for Graph Classification. | Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu |
| 2021 | Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. | Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu |
| 2021 | Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings. | Yuandu Lai, Yahong Han, Yaowei Wang |
| 2021 | Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. | Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum |