| 2021 | A Transformer-based Framework for Multivariate Time Series Representation Learning. | George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff |
| 2021 | Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. | Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang |
| 2021 | All You Need to Know to Build a Product Knowledge Graph. | Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong |
| 2021 | Fed2: Feature-Aligned Federated Learning. | Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen |
| 2021 | Socially-Aware Self-Supervised Tri-Training for Recommendation. | Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung |
| 2021 | A Novel Multi-View Clustering Method for Unknown Mapping Relationships Between Cross-View Samples. | Hong Yu, Jia Tang, Guoyin Wang, Xinbo Gao |
| 2021 | Physics-Guided AI for Large-Scale Spatiotemporal Data. | Rose Yu, Paris Perdikaris, Anuj Karpatne |
| 2021 | Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation. | Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi |
| 2021 | Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings. | Bo-Wen Yuan, Yu-Sheng Li, Pengrui Quan, Chih-Jen Lin |
| 2021 | Extremely Compact Non-local Representation Learning. | Ansheng You, Xiangzeng Zhou, Yingya Zhang, Pan Pan, Yinghui Xu |
| 2021 | Workshop on Model Mining. | Shan You, Chang Xu, Fei Wang, Changshui Zhang |
| 2021 | Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts. | Jaemin Yoo, Yejun Soun, Yong-chan Park, U Kang |
| 2021 | Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks. | Minji Yoon, Thophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang |
| 2021 | Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network. | Jaehyuk Yi, Jinkyoo Park |
| 2021 | Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks. | Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie |
| 2021 | Defending Privacy Against More Knowledgeable Membership Inference Attackers. | Yu Yin, Ke Chen, Lidan Shou, Gang Chen |
| 2021 | Device-Cloud Collaborative Learning for Recommendation. | Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang |
| 2021 | FLOP: Federated Learning on Medical Datasets using Partial Networks. | Qian Yang, Jianyi Zhang, Weituo Hao, Gregory P. Spell, Lawrence Carin |
| 2021 | MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. | Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun |
| 2021 | Improving the Information Disclosure in Mobility-on-Demand Systems. | Yue Yang, Yuan Shi, Dejian Wang, Qisheng Chen, Lei Xu, Hanqian Li, Zhouyu Fu, Xin Li, Hao Zhang |
| 2021 | TopNet: Learning from Neural Topic Model to Generate Long Stories. | Yazheng Yang, Boyuan Pan, Deng Cai, Huan Sun |
| 2021 | Context-aware Outstanding Fact Mining from Knowledge Graphs. | Yueji Yang, Yuchen Li, Panagiotis Karras, Anthony K. H. Tung |
| 2021 | Numerical Formula Recognition from Tables. | Qingping Yang, Yixuan Cao, Hongwei Li, Ping Luo |
| 2021 | Model-Based Counterfactual Synthesizer for Interpretation. | Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu |
| 2021 | Session-Aware Query Auto-completion using Extreme Multi-Label Ranking. | Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon |