| 2025 | Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy. | Ergute Bao, Fei Wei, Yin Yang, Xiaokui Xiao, Tianyu Pang, Chao Du |
| 2025 | Neural Quantum Embeddings with Multiple Control Variables. | Seung-Yeop Baik, Yo-Sub Han |
| 2025 | HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). | Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock |
| 2025 | AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). | Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock |
| 2025 | DECOR 2025: How Data Engineering Meets Intelligent Food and Cooking Innovation. | Frdric Andrs, Farshad Fotouhi, Gheorghita Ghinea, Steve Tanimoto |
| 2025 | Towards On-Database Contextual Model Explanation. | Shuai An, Yang Cao |
| 2025 | Random Sampling Over Spatial Range Joins. | Daichi Amagata |
| 2025 | Popper: A Dataflow System for In-Flight Error Handling in Machine Learning Workflows. | Adnan Shakeel Ahmed, Abhilash Jindal, Kaustubh Beedkar |
| 2024 | Exploring Optimal Parameters for Expected Results on Radius-Bounded k-Core Queries. | Chuanyu Zong, Zefang Dong, Xiaochun Yang, Bin Wang, Huaijie Zhu, Tao Qiu, Rui Zhu |
| 2024 | Privacy-Preserving Traffic Flow Release with Consistency Constraints. | Xiaoting Zhu, Libin Zheng, Chen Jason Zhang, Peng Cheng, Rui Meng, Lei Chen, Xuemin Lin, Jian Yin |
| 2024 | Triple-D: Denoising Distant Supervision for High-Quality Data Creation. | Xinyi Zhu, Yongqi Zhang, Lei Chen, Kai Chen |
| 2024 | Log Replaying for Real-Time HTAP: An Adaptive Epoch-Based Two-Stage Framework. | Jun-Peng Zhu, Zhiwei Ye, Peng Cai, Donghui Wang, Fengyan Zhang, Dunbo Cai, Ling Qian |
| 2024 | On the Ecosystem of High-Definition (HD) Maps. | Yuanjie Zhuy, Hussah Alrashid, Song Bai, Chunhan Zhang, Ziliang Zhang, Zhengyi Qu, Reem Y. Ali, Amr Magdy |
| 2024 | Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service. | Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li |
| 2024 | Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract). | Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu |
| 2024 | Chat2Query: A Zero-Shot Automatic Exploratory Data Analysis System with Large Language Models. | Jun-Peng Zhu, Peng Cai, Boyan Niu, Zheming Ni, Kai Xu, Jiajun Huang, Jianwei Wan, Shengbo Ma, Bing Wang, Donghui Zhang, Liu Tang, Qi Liu |
| 2024 | HJG: An Effective Hierarchical Joint Graph for ANNS in Multi-Metric Spaces. | Yifan Zhu, Lu Chen, Yunjun Gao, Ruiyao Ma, Baihua Zheng, Jingwen Zhao |
| 2024 | Scalable Distance Labeling Maintenance and Construction for Dynamic Small-World Networks. | Xinjie Zhou, Mengxuan Zhang, Lei Li, Xiaofang Zhou |
| 2024 | F-TADOC: FPGA-Based Text Analytics Directly on Compression with HLS. | Yanliang Zhou, Feng Zhang, Tuo Lin, Yuanjie Huang, Saiqin Long, Jidong Zhai, Xiaoyong Du |
| 2024 | RobFL: Robust Federated Learning via Feature Center Separation and Malicious Center Detection. | Ting Zhou, Ning Liu, Bo Song, Hongtao Lv, Deke Guo, Lei Liu |
| 2024 | Fast Iterative Graph Computing with Updated Neighbor States. | Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu |
| 2024 | Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions. | Quan Zhou, Ramen Ghosh, Robert Shorten, Jakub Marecek |
| 2024 | DeepMapping: Learned Data Mapping for Lossless Compression and Efficient Lookup. | Lixi Zhou, K. Seluk Candan, Jia Zou |
| 2024 | TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation. | Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li, Tianqing Wang |
| 2024 | IndeXY: A Framework for Constructing Indexes Larger than Memory. | Chen Zhong, Qingqing Zhou, Yuxing Chen, Xingsheng Zhao, Kuang He, Anqun Pan, Song Jiang |