| 2023 | Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. | Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao |
| 2023 | InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. | Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou |
| 2023 | TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. | Yuanzhe Zhang, Shirui Pan, Jiangshan Yu |
| 2023 | Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. | Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao |
| 2023 | PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning. | Jianing Zhang, Zhaojing Luo, Quanqing Xu, Meihui Zhang |
| 2023 | DBCatcher: A Cloud Database Online Anomaly Detection System based on Indicator Correlation. | Guangyu Zhang, Chunhua Li, Ke Zhou, Li Liu, Ce Zhang, Wancheng Chen, Haotian Fang, Bin Cheng, Jie Yang, Jiashu Xing |
| 2023 | PM-Blade: A Persistent Memory Augmented LSM-tree Storage for Database. | Yinan Zhang, Huiqi Hu, Xuan Zhou, Enlong Xie, Hongdi Ren, Le Jin |
| 2023 | Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract. | Tianru Zhang, Andreas Hellander, Salman Toor |
| 2023 | Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd. | Haodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian, Kaishun Wu |
| 2023 | Discovering Frequency Bursting Patterns in Temporal Graphs. | Qianzhen Zhang, Deke Guo, Xiang Zhao, Long Yuan, Lailong Luo |
| 2023 | Schema Matching using Pre-Trained Language Models. | Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Mller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel |
| 2023 | A Reachability Index for Recursive Label-Concatenated Graph Queries. | Chao Zhang, Angela Bonifati, Hugo Kapp, Vlad Ioan Haprian, Jean-Pierre Lozi |
| 2023 | EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge. | Qinglong Zhang, Rui Han, Chi Harold Liu, Guoren Wang, Lydia Y. Chen |
| 2023 | Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. | Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi |
| 2023 | Group Buying Recommendation Model Based on Multi-task Learning. | Shuoyao Zhai, Baichuan Liu, Deqing Yang, Yanghua Xiao |
| 2023 | FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration. | Zhihao Zeng, Yuntao Du, Ziquan Fang, Lu Chen, Shiliang Pu, Guodong Chen, Hui Wang, Yunjun Gao |
| 2023 | Parallelizing Stream Compression for IoT Applications on Asymmetric Multicores. | Xianzhi Zeng, Shuhao Zhang |
| 2023 | Points-of-Interest from Mapillary Street-level Imagery: A Dataset For Neighborhood Analytics. | Negin Zarbakhsh, Gavin McArdle |
| 2023 | HyperMinHash: MinHash in LogLog Space (Extended Abstract). | Yun William Yu, Griffin M. Weber |
| 2023 | Parallel Filtered Graphs for Hierarchical Clustering. | Shangdi Yu, Julian Shun |
| 2023 | Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. | Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma |
| 2023 | Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. | Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou |
| 2023 | On Explaining Confounding Bias. | Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi |
| 2023 | ENLD: Efficient Noisy Label Detection for Incremental Datasets in Data Lake. | Xuanke You, Lan Zhang, Junyang Wang, Zhimin Bao, Yunfei Wu, Shuaishuai Dong |
| 2023 | Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs. | Ziqi Yin, Qi Zhang, Wentao Zhang, Rong-Hua Li, Guoren Wang |