| 2021 | MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems. | Yun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, Sang-Wook Kim |
| 2021 | ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding. | Wonjun Ko, Wonsik Jung, Eunjin Jeon, Ahmad Wisnu Mulyadi, Heung-Il Suk |
| 2021 | Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language Processing. | Jan Kocon, Marcin Gruza, Julita Bielaniewicz, Damian Grimling, Kamil Kanclerz, Piotr Milkowski, Przemyslaw Kazienko |
| 2021 | Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising. | Wenwei Ke, Chuanren Liu, Xiangfu Shi, Yiqiao Dai, Philip S. Yu, Xiaoqiang Zhu |
| 2021 | Crowdsourcing with Self-paced Workers. | Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui |
| 2021 | Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks. | Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim |
| 2021 | Heterogeneous Graph Neural Network with Distance Encoding. | Houye Ji, Cheng Yang, Chuan Shi, Pan Li |
| 2021 | Hypergraph Convolutional Network for Group Recommendation. | Renqi Jia, Xiaofei Zhou, Linhua Dong, Shirui Pan |
| 2021 | Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. | Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read |
| 2021 | An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. | Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu |
| 2021 | Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. | Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon |
| 2021 | Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases : For the CDC MInD Healthcare Network. | Hankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju |
| 2021 | SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. | Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding |
| 2021 | Bi-Level Attention Graph Neural Networks. | Roshni G. Iyer, Wei Wang, Yizhou Sun |
| 2021 | Spikelet: An Adaptive Symbolic Approximation for Finding Higher-Level Structure in Time Series. | Makoto Imamura, Takaaki Nakamura |
| 2021 | Climate Modeling with Neural Diffusion Equations. | Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park |
| 2021 | Source Inference Attacks in Federated Learning. | Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang |
| 2021 | Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting. | Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku |
| 2021 | MC-RGCN: A Multi-Channel Recurrent Graph Convolutional Network to Learn High-Order Social Relations for Diffusion Prediction. | Ningbo Huang, Gang Zhou, Mengli Zhang, Meng Zhang |
| 2021 | Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation. | Chen Huang, Liangxu Pan, Qinli Yang, Hongliang Wang, Junming Shao |
| 2021 | Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. | Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang |
| 2021 | STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. | Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang |
| 2021 | Conversion Prediction with Delayed Feedback: A Multi-task Learning Approach. | Yilin Hou, Guangming Zhao, Chuanren Liu, Zhonglin Zu, Xiaoqiang Zhu |
| 2021 | Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation. | Yuting He, Rongjun Ge, Jiasong Wu, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Guanyu Yang, Shuo Li |
| 2021 | Online Learning in Variable Feature Spaces with Mixed Data. | Yi He, Jiaxian Dong, Bo-Jian Hou, Yu Wang, Fei Wang |