Chengcheng Yang

Chengcheng Yang

Research Professor

School of Data Science and Engineering
East China Normal University

Chengcheng Yang (杨程程 in Chinese) is a research professor at School of Data Science and Engineering, East China Normal University (ECNU). Prior to joining ECNU, he was a postdoctoral researcher at School of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology. He was also a research associate at Inception Institute of Artificial Intelligence (Abu Dhabi, UAE), and a senior engineer at Shanghai Huawei Technology Co. Ltd. He obtained both of his Ph.D. degree (2017) and B.S. degree (2012) from School of Computer Science and Technology, University of Science and Technology of China. His research interests focus on database systems, storage engines, in-database machine learning, and implementing database internals with AI.

Research Interests

  • Data management on new hardware
  • AI4DB and DB4AI
  • Data cleaning, data integration, data discovery
  • Spatial data management

Selected Publications (* corresponding author)

  1. Y Han*, H Wang, L Chen, Y Dong, X Chen, B Yu, C Yang*, W Qian. ByteCard: enhancing ByteDance’s data warehouse with learned cardinality estimation. SIGMOD, 2024: 1-14.

  2. Q Wang, H Li, Z Hu, R Zhang*, C Yang*, P Cai, X Zhou, A Zhou. Mirage: generating enormous databases for complex workloads. ICDE, 2024: 1-13.

  3. P Liu, S Weng, K Li, L Ni, C Yang*, R Zhang*, W Qian, D Qiao. Leopard: a general test suite for isolation level verification. CIDR, 2024: 1-7.

  4. L Chen, R Chen, C Yang*, Y Han, R Zhang, X Zhou, P Jin, W Qian. Workload-aware log-structured merge key-value store for NVM-SSD hybrid storage. ICDE, 2023: 2207-2219.

  5. K Li, S Weng, P Liu, L Ni, C Yang*, R Zhang*, X Zhou, J Lou, G Huang, W Qian, A Zhou. Leopard: a black-box approach for efficiently verifying various isolation levels. ICDE, 2023: 722-735.

  6. Z Pan, Y Wang, Y Zhang, S Yang, Y Cheng, P Chen, C Guo, Q Wen, X Tian, Y Dou, Z Zhou, C Yang, A Zhou, B Yang. MagicScaler: uncertainty-aware, predictive autoscaling. PVLDB, 2023, 16(12):3808–3821.

  7. C Yang, L Chen, H Wang, S Shang, R Mao, X Zhang. Dynamic set similarity join: an update log based approach. IEEE Transactions on Knowledge and Data Engineering, 1-14, 2021.

  8. C Yang, D Deng, S Shang, F Zhu, L Liu, L Shao. Internal and external memory set containment join. The VLDB Journal, 2021, 30(3): 447-470.

  9. C Yang, L Chen, H Wang, S Shang. Towards efficient selection of activity trajectories based on diversity and coverage. AAAI, 2021, 35(1): 689-696.

  10. C Yang, D Deng, S Shang, L Shao. Efficient locality-sensitive hashing over high-dimensional data streams. ICDE, 2020: 1986-1989.

  11. H Wang, C Yang*, X Zhang, X Gao. Efficient locality-sensitive hashing over high-dimensional streaming data. Neural Computing and Applications, 2020: 1-14.

  12. P Jin, C Yang, X Wang, L Yue, D Zhang. SAL-hashing: a self-adaptive linear hashing index for SSDs. IEEE Transactions on Knowledge and Data Engineering, 2020, 32(3): 519-532.

  13. L Chen, S Shang, C Yang, J Li. Spatial keyword search: a survey. GeoInformatica, 2020, 24(1): 85-106.

  14. C Yang, L Chen, S Shang, F Zhu, L Liu, L Shao. Toward efficient navigation of massive-scale geo-textual streams. IJCAI, 2019: 4838-4845.

  15. D Deng, C Yang*, S Shang*, F Zhu, L Liu, L Shao. LCJoin: set containment join via list crosscutting. ICDE, 2019: 362-373.

  16. P Jin, C Yang, C.S. Jensen, P Yang, L Yue. Read/write-optimized tree indexing for solid-state drives. The VLDB Journal, 2016, 25(5): 695-717.

  17. C Yang, P Jin, L Yue, D Zhang. Self-adaptive linear hashing for solid state drives. ICDE, 2016: 433-444.

  18. L Li, P Jin, C Yang, Z Wu, L Yue. Optimizing B+-tree for PCM-based hybrid memory. EDBT, 2016: 662-663.

  19. C Yang, P Jin, L Yue, P Yang. Efficient buffer management for tree indexes on solid state drives. International Journal of Parallel Programming, 2016, 44(1): 5-25. (best paper of NPC 2014)