00.AI4DB & DB4AI-Papers

根据我们过去的教程，不断更新AI4DB和DB4AI（ML4DB和DB4ML）论文和源代码。如果遗漏了任何重要论文，请通知我们。

0. Survey and Tutorial

1[Survey | AIDB] Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun. Database Meets Artificial Intelligence: A Survey. TKDE, 2020. [paper]
2[Survey | ML4DB] Wei Wang, Meihui Zhang, Gang Chen, et al. Database meets deep learning: Challenges and opportunities. SIGMOD Record, 2016. [paper]
3[Survey | RL4DB] Qingpeng Cai, Can Cui, Yiyuan Xiong, et al. A Survey on Deep Reinforcement Learning for Data Processing and Analytics. arXive, 2021. [paper]
4[Tutorial | AI4DB] Stratos Idreos, Tim Kraska. From auto-tuning one size fits all to self-designed and learned data-intensive systems. SIGMOD, 2019. [paper]
5[Tutorial | AI4DB] Guoliang Li, Xuanhe Zhou, Lei Cao. AI Meets Database: AI4DB and DB4AI. SIGMOD 2021. [paper][slides]
6[Tutorial | AI4DB] Guoliang Li, Xuanhe Zhou, Lei Cao. Machine Learning for Databases. VLDB 2021. [paper][slides]
7[Tutorial | AI4Tuning] Jiaheng Lu, Yuxing Chen, Herodotos Herodotou, Shivnath Babu. Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems, VLDB, 2019. [paper][slides]
8[Tutorial | AI4CloudDB] Alekh Jindal, Matteo Interlandi. Machine Learning for Cloud Data Systems: the Promise , the Progress , and the Path Forward. VLDB, 2021. [paper]
9[Tutorial | AI4Tuning] Zhengtong Yan, Jiaheng Lu, Naresh Chainani, Chunbin Lin. Workload-Aware Performance Tuning for Autonomous DBMSs. ICDE, 2021. [paper]
10[Tutorial | AI4DBCluster] Brad Glasbergen, Michael Abebe, Khuzaima Daudjee. Tutorial: Adaptive Replication and Partitioning in Data Systems. Middleware, 2018. [paper]
11[Tutorial | LearnedIndex] Abdullah Al-Mamun, Hao Wu, Walid G. Aref. A Tutorial on Learned Multi-dimensional Indexes. SIGSPATIAL, 2020. [paper]

1. Database Configuration

1.1 Knob Tuner

1.2 View Advisor

1.3 Index Advisor

1.4 Query Rewriter

1.5 Partition Advisor

1.6 Encoding Advisor

1.7 Scheduling Advisor

2. Query Optimization

2.1 Cardinality/Cost Estimation

2.2 Join Enumerator

2.3 Plan Hinter

3. Database Design

3.1 Physical Design

3.2 Query Execution

4. Database Monitoring

5. Database Diagnosis

5.1 System Diagnosis

5.2 Query Diagnosis

6. Training Data Generation

7. Autonomous Database

8. Demonstrations

9. Talks