| 2022 | Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly. | Won Joon Yun, David Mohaisen, Soyi Jung, Jong-Kook Kim, Joongheon Kim |
| 2022 | LTE4G: Long-Tail Experts for Graph Neural Networks. | Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park |
| 2022 | Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. | Tan Yu, Jie Liu, Zhipeng Jin, Yi Yang, Hongliang Fei, Ping Li |
| 2022 | MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection. | Lu Yu, Meng Li, Xiaoguang Huang, Wei Zhu, Yanming Fang, Jun Zhou, Longfei Li |
| 2022 | PAS: Privacy Algorithms in Systems. | Philip S. Yu, Olivera Kotevska, Tyler Derr |
| 2022 | Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating. | Tao Yu, Yao Fu, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu |
| 2022 | Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19. | Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | Offline Reinforcement Learning for Mobile Notifications. | Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar |
| 2022 | An Actor-critic Reinforcement Learning Model for Optimal Bidding in Online Display Advertising. | Congde Yuan, Mengzhuo Guo, Chaoneng Xiang, Shuangyang Wang, Guoqing Song, Qingpeng Zhang |
| 2022 | Scalable Graph Sampling on GPUs with Compressed Graph. | Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui |
| 2022 | GROWN+UP: A "Graph Representation Of a Webpage" Network Utilizing Pre-training. | Benedict Yeoh, Huijuan Wang |
| 2022 | Unanswerable Question Correction and Explanation over Personal Knowledge Base. | An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2022 | Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center. | Zhiyuan Yao, Zihan Ding, Thomas H. Clausen |
| 2022 | Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. | Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong |
| 2022 | A Multi-granularity Network for Emotion-Cause Pair Extraction via Matrix Capsule. | Cheng Yang, Zhongwei Zhang, Jie Ding, Wenjun Zheng, Zhiwen Jing, Ying Li |
| 2022 | gCBO: A Cost-based Optimizer for Graph Databases. | Linglin Yang, Lei Yang, Yue Pang, Lei Zou |
| 2022 | Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. | Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao |
| 2022 | AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. | Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | The 1st International Workshop on Federated Learning with Graph Data (FedGraph). | Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr |
| 2022 | Task Similarity Aware Meta Learning for Cold-Start Recommendation. | Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo |
| 2022 | Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view. | Jinghua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Lele Fu, Zibin Zheng |
| 2022 | Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion. | Chaoqi Yang, Ruijie Wang, Shuochao Yao, Tarek F. Abdelzaher |
| 2022 | Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. | Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang |
| 2022 | Visual Encoding and Debiasing for CTR Prediction. | Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng |
| 2022 | Taxonomy-Enhanced Graph Neural Networks. | Lingjun Xu, Shiyin Zhang, Guojie Song, Junshan Wang, Tianshu Wu, Guojun Liu |