| 2026 | AAAI | Forgetting by Pruning: Data Deletion in Join Cardinality Estimation. | Chaowei He, Yuanjun Liu, Qingzhi Ma, Shenyuan Ren, Xizhao Luo, Lei Zhao, An Liu |
| 2026 | ACL | GBV-SQL: Guided Generation and SQL2Text Back-Translation Validation for Multi-Agent Text2SQL. | Daojun Chen, Xi Wang, Shenyuan Ren, Qingzhi Ma, Pengpeng Zhao, An Liu |
| 2025 | APWEB | ASFRA-DP: Learning-Based Federated Spatial Query Processing with Density-Aware Privacy. | Yutong Xie, Qingzhi Ma, Wei Chen, An Liu, Lei Zhao |
| 2025 | CIKM | DDE-CLIP: Detail-Guided Dual-Modal Enhancement for Zero-Shot Anomaly Detection. | Zehao Deng, Qingzhi Ma, An Liu |
| 2025 | CIKM | TKHist: Cardinality Estimation for Join Queries via Histograms with Dominant Attribute Correlation Finding. | Renrui Li, Qingzhi Ma, Jiajie Xu, Lei Zhao, An Liu |
| 2025 | CIKM | Federated Approximate Query Processing Based on Deep Models. | Yutong Xie, Qingzhi Ma, Lei Zhao, An Liu |
| 2025 | KDD | GPE: Global Position Embedding for Trajectory Similarity Computation. | Yuanjun Liu, Guanfeng Liu, Qingzhi Ma, Zhixu Li, Lei Zhao, An Liu |
| 2024 | ADMA | Periodic Patterns and Long-Term Dependencies Based Temporal Knowledge Graph Completion. | Penghui Ge, Wei Chen, Xi Chen, Qingzhi Ma, Lei Zhao |
| 2024 | CIKM | KMCT: | Yuanjun Liu, Guanfeng Liu, Qingzhi Ma, Zhixu Li, Shiting Wen, Lei Zhao, An Liu |
| 2024 | CIKM | CLR2G: Cross modal Contrastive Learning on Radiology Report Generation. | Hongchen Xue, Qingzhi Ma, Guanfeng Liu, Jianfeng Qu, Yuanjun Liu, An Liu |
| 2024 | DASFAA | Segam: Secure and Efficient Group-by-Aggregation Queries across Multiple Private Database. | Zicheng Cao, Qingzhi Ma, Wei Chen, Lei Zhao, An Liu |
| 2024 | ICDE | Inductive Link Prediction for Sequential-emerging Knowledge Graph. | Yufeng Zhang, Wei Chen, Xi Chen, Qingzhi Ma, Lei Zhao |
| 2023 | EDBT | Streaming Weighted Sampling over Join Queries. | Michael Shekelyan, Graham Cormode, Qingzhi Ma, Ali Mohammadi Shanghooshabad, Peter Triantafillou |
| 2021 | CIDR | Learned Approximate Query Processing: Make it Light, Accurate and Fast. | Qingzhi Ma, Ali Mohammadi Shanghooshabad, Mehrdad Almasi, Meghdad Kurmanji, Peter Triantafillou |
| 2021 | SIGMOD | PGMJoins: Random Join Sampling with Graphical Models. | Ali Mohammadi Shanghooshabad, Meghdad Kurmanji, Qingzhi Ma, Michael Shekelyan, Mehrdad Almasi, Peter Triantafillou |
| 2020 | DOLAP | Query-Centric Regression for In-DBMS Analytics. | Qingzhi Ma, Peter Triantafillou |
| 2019 | SIGMOD | DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models. | Qingzhi Ma, Peter Triantafillou |