| 2022 | Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. | Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang |
| 2022 | Robust Unsupervised Domain Adaptation from A Corrupted Source. | Shuyang Yu, Zhuangdi Zhu, Boyang Liu, Anil K. Jain, Jiayu Zhou |
| 2022 | STT: Soft Template Tuning for Few-Shot Adaptation. | Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen |
| 2022 | Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching. | Zhenning Yu, Xin Liu, Yiu-Ming Cheung, Minghang Zhu, Xing Xu, Nannan Wang, Taihao Li |
| 2022 | Dimensionality Selection of Hyperbolic Graph Embeddings using Decomposed Normalized Maximum Likelihood Code-Length. | Ryo Yuki, Yuichi Ike, Kenji Yamanishi |
| 2022 | Deep Spatial Domain Generalization. | Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao |
| 2022 | Neural Network Driven by Space-time Partial Differential Equation for Predicting Sea Surface Temperature. | Taikang Yuan, Junxing Zhu, Kaijun Ren, Wuxin Wang, Xiang Wang, Xiaoyong Li |
| 2022 | Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction. | Kaixin Yuan, Jing Liu, Jian Lou |
| 2022 | Model Personalization with Static and Dynamic Patients' Data. | Paul Youssef, Jrg Schltterer, Sultan Imangaliyev, Christin Seifert |
| 2022 | Behavioral graph fraud detection in E-commerce. | Hang Yin, Zitao Zhang, Zhurong Wang, Yilmazcan zyurt, Weiming Liang, Wenyu Dong, Yang Zhao, Yinan Shan |
| 2022 | An Efficient and Reliable Tolerance- Based Algorithm for Principal Component Analysis. | Michael Yeh, Ming Gu |
| 2022 | Privacy-Preserving Split Learning via Patch Shuffling over Transformers. | Dixi Yao, Liyao Xiang, Hengyuan Xu, Hangyu Ye, Yingqi Chen |
| 2022 | Deep Neural Networks and Data Accentuation for Standoff Detection of Dangerous Chemicals. | Eric Yao, Christopher A. Kendziora, Robert Furstenberg, Christopher J. Breshike, Drew M. Finton, Drew C. Kendziora |
| 2022 | Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. | Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra |
| 2022 | Deep Knowledge Tracing with Learning Curves. | Shanghui Yang, Xin Liu, Hang Su, Mengxia Zhu, Xuesong Lu |
| 2022 | Graph Convolutional Networks with Dependency Parser towards Multiview Representation Learning for Sentiment Analysis. | Minqiang Yang, Xinqi Liu, Chengsheng Mao, Bin Hu |
| 2022 | A Bi-directional Recommender System for Online Recruitment. | Zhe-Rui Yang, Zhenyu He, Chang-Dong Wang, Pei-Yuan Lai, De-Zhang Liao, Zhong-Zheng Wang |
| 2022 | Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. | Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius |
| 2022 | A Convex Formulation for Graph Convolutional Training: Two Layer Case. | Naganand Yadati |
| 2022 | A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning. | Ke Xu, Ziliang Wang, Wei Zheng, Yuhao Ma, Chenglin Wang, Nengxue Jiang, Cai Cao |
| 2022 | SV-Learn: Learning Matrix Singular Values with Neural Networks. | Derek Xu, William Shiao, Jia Chen, Evangelos E. Papalexakis |
| 2022 | HP-GMN: Graph Memory Networks for Heterophilous Graphs. | Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang |
| 2022 | Generalized Few-Shot Node Classification. | Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong |
| 2022 | Data-driven Kernel Subspace Clustering with Local Manifold Preservation. | Kunpeng Xu, Lifei Chen, Shengrui Wang |
| 2022 | Deep Heterogeneous Graph Neural Networks via Similarity Regularization Loss and Hierarchical Fusion. | Zhilong Xiong, Jia Cai |