| 2022 | Revisiting Approximate Query Processing and Bootstrap Error Estimation on GPU. | Hang Zhao, Hanbing Zhang, Yinan Jing, Kai Zhang, Zhenying He, X. Sean Wang |
| 2022 | HRG: A Hybrid Retrieval and Generation Model in Multi-turn Dialogue. | Deji Zhao, Xinyi Liu, Bo Ning, Chengfei Liu |
| 2022 | Robust Dynamic Pricing in Online Markets with Reinforcement Learning. | Bolei Zhang, Fu Xiao |
| 2022 | Data Source Selection in Federated Learning: A Submodular Optimization Approach. | Ruisheng Zhang, Yansheng Wang, Zimu Zhou, Ziyao Ren, Yongxin Tong, Ke Xu |
| 2022 | Efficient Consensus Motif Discovery of All Lengths in Multiple Time Series. | Mingming Zhang, Peng Wang, Wei Wang |
| 2022 | Construction and Application of Event Logic Graph: A Survey. | Bin Zhang, Ximin Sun, Xiaoming Li, Dan Liu, Shuai Wang, Jiangkai Jia |
| 2022 | CollaborateCas: Popularity Prediction of Information Cascades Based on Collaborative Graph Attention Networks. | Xianren Zhang, Jiaxing Shang, Xueqi Jia, Dajiang Liu, Fei Hao, Zhiqing Zhang |
| 2022 | Fully Utilizing Neighbors for Session-Based Recommendation with Graph Neural Networks. | Xingyu Zhang, Chaofeng Sha |
| 2022 | Enhancing Session-Based Recommendation with Global Context Information and Knowledge Graph. | Xiaohui Zhang, Huifang Ma, Zihao Gao, Zhixin Li, Liang Chang |
| 2022 | Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit Feedback. | Lingzi Zhang, Yong Liu, Xin Zhou, Chunyan Miao, Guoxin Wang, Haihong Tang |
| 2022 | Significant Engagement Community Search on Temporal Networks. | Yifei Zhang, Longlong Lin, Pingpeng Yuan, Hai Jin |
| 2022 | Aligning Internal Regularity and External Influence of Multi-granularity for Temporal Knowledge Graph Embedding. | Tingyi Zhang, Zhixu Li, Jiaan Wang, Jianfeng Qu, Lin Yuan, An Liu, Lei Zhao, Zhigang Chen |
| 2022 | TROP: Task Ranking Optimization Problem on Crowdsourcing Service Platform. | Jiale Zhang, Haozhen Lu, Xiaofeng Gao, Ailun Song, Guihai Chen |
| 2022 | Discovering Bursting Patterns over Streaming Graphs. | Qianzhen Zhang, Deke Guo, Xiang Zhao |
| 2022 | A Joint Framework for Explainable Recommendation with Knowledge Reasoning and Graph Representation. | Luhao Zhang, Ruiyu Fang, Tianchi Yang, Maodi Hu, Tao Li, Chuan Shi, Dong Wang |
| 2022 | Semi-supervised Graph Learning with Few Labeled Nodes. | Cong Zhang, Ting Bai, Bin Wu |
| 2022 | SQLG+: Efficient k-hop Query Processing on RDBMS. | Li Zeng, Jinhua Zhou, Shijun Qin, Haoran Cai, Rongqian Zhao, Xin Chen |
| 2022 | Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. | Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu |
| 2022 | ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-Domain Credit Risk Forecasting. | Guanxiong Zeng, Jianfeng Chi, Rui Ma, Jinghua Feng, Xiang Ao, Hao Yang |
| 2022 | GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network. | Yalei Zang, Yi Liu, Weitong Chen, Bohan Li, Aoran Li, Lin Yue, Weihua Ma |
| 2022 | Similarity-Aware Collaborative Learning for Patient Outcome Prediction. | Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu |
| 2022 | TRHyTE: Temporal Knowledge Graph Embedding Based on Temporal-Relational Hyperplanes. | Lin Yuan, Zhixu Li, Jianfeng Qu, Tingyi Zhang, An Liu, Lei Zhao, Zhigang Chen |
| 2022 | ExKGR: Explainable Multi-hop Reasoning for Evolving Knowledge Graph. | Cheng Yan, Feng Zhao, Hai Jin |
| 2022 | Gated Hypergraph Neural Network for Scene-Aware Recommendation. | Tianchi Yang, Luhao Zhang, Chuan Shi, Cheng Yang, Siyong Xu, Ruiyu Fang, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang |
| 2022 | What Affects the Performance of Models? Sensitivity Analysis of Knowledge Graph Embedding. | Han Yang, Leilei Zhang, Fenglong Su, Jinhui Pang |