| 2024 | NC-ALG: Graph-Based Active Learning Under Noisy Crowd. | Wentao Zhang, Yexin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui |
| 2024 | Scavenger: Better Space-Time Trade-Offs for Key-Value Separated LSM-trees. | Jianshun Zhang, Fang Wang, Sheng Qiu, Yi Wang, Jiaxin Ou, Junxun Huang, Baoquan Li, Peng Fang, Dan Feng |
| 2024 | A Coarse-to-Fine Framework for Entity-Relation Joint Extraction. | Mingchen Zhang, Jiaan Wang, Jianfeng Qu, Zhixu Li, An Liu, Lei Zhao, Zhigang Chen, Xiaofang Zhou |
| 2024 | Uncovering the Propensity Identification Problem in Debiased Recommendations. | Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu |
| 2024 | Duet: Efficient and Scalable Hybrid Neural Relation Understanding. | Kaixin Zhang, Hongzhi Wang, Yabin Lu, Ziqi Li, Chang Shu, Yu Yan, Donghua Yang |
| 2024 | Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations. | Yuling Zhang, Anpeng Wu, Kun Kuang, Liang Du, Zixun Sun, Zhi Wang |
| 2024 | PrestigeBFT: Revolutionizing View Changes in BFT Consensus Algorithms with Reputation Mechanisms. | Gengrui Zhang, Fei Pan, Sofia Tijanic, Hans-Arno Jacobsen |
| 2024 | Sketches-Based Join Size Estimation Under Local Differential Privacy. | Meifan Zhang, Xin Liu, Lihua Yin |
| 2024 | Are There Fundamental Limitations in Supporting Vector Data Management in Relational Databases? A Case Study of PostgreSQL. | Yunan Zhang, Shige Liu, Jianguo Wang |
| 2024 | Topic Modeling on Document Networks with Dirichlet Optimal Transport Barycenter. | Delvin Ce Zhang, Hady Wirawan Lauw |
| 2024 | Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. | Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang |
| 2024 | SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. | Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song |
| 2024 | Directions Towards Efficient and Automated Data Wrangling with Large Language Models. | Zeyu Zhang, Paul Groth, Iacer Calixto, Sebastian Schelter |
| 2024 | BIM: Improving Graph Neural Networks with Balanced Influence Maximization. | Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui |
| 2024 | CLIMBER: Pivot-Based Approximate Similarity Search Over Big Data Series. | Liang Zhang, Mohamed Y. Eltabakh, Elke A. Rundensteiner, Khalid Alnuaim |
| 2024 | DmRPC: Disaggregated Memory-aware Datacenter RPC for Data-intensive Applications. | Jie Zhang, Xuzheng Chen, Yin Zhang, Zeke Wang |
| 2024 | Inductive Link Prediction for Sequential-emerging Knowledge Graph. | Yufeng Zhang, Wei Chen, Xi Chen, Qingzhi Ma, Lei Zhao |
| 2024 | Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation. | Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen |
| 2024 | Preventing the Popular Item Embedding Based Attack in Federated Recommendations. | Jun Zhang, Huan Li, Dazhong Rong, Yan Zhao, Ke Chen, Lidan Shou |
| 2024 | Secure Normal Form: Mediation Among Cross Cryptographic Leakages in Encrypted Databases. | Shufan Zhang, Xi He, Ashish Kundu, Sharad Mehrotra, Shantanu Sharma |
| 2024 | CASA: Classification-based Adjusted Slot Admission Control for Query Processing Engines. | Tim Zeyl, Harshwin Venugopal, Calvin Sun, Paul Larson |
| 2024 | MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching. | Xiaocan Zeng, Pengfei Wang, Yuren Mao, Lu Chen, Xiaoze Liu, Yunjun Gao |
| 2024 | Mining Quasi-Periodic Communities in Temporal Network. | Yue Zeng, Hongchao Qin, Rong-Hua Li, Kai Wang, Guoren Wang, Xuemin Lin |
| 2024 | FedCTQ: A Federated-Based Framework for Accurate and Efficient Contact Tracing Query. | Zhihao Zeng, Ziquan Fang, Lu Chen, Yunjun Gao, Kai Zheng, Gang Chen |
| 2024 | Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. | Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng |