Xiu Tang

According to our database, Xiu Tang authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CORAL: Collaborative Automatic Labeling System based on Large Language Models.

Zhen Zhu, Yibo Wang, Shouqing Yang, Lin Long, Runze Wu, Xiu Tang, Junbo Zhao, Haobo Wang

Proc. VLDB Endow., August, 2024

TWIST: Text-only Weakly Supervised Scene Text Spotting Using Pseudo Labels.

Lilong Wen, Xiu Tang, Dongxiang Zhang

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Robust Auto-Scaling with Probabilistic Workload Forecasting for Cloud Databases.

Haitian Hang, Xiu Tang, Jianling Sun, Lingfeng Bao, David Lo, Haoye Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Unlocking the Power of Diversity in Index Tuning for Cluster Databases.

Haitian Hang, Xiu Tang, Bo Zhou, Jianling Sun

Proceedings of the Database and Expert Systems Applications, 2024

2023

A Demonstration of DLBD: Database Logic Bug Detection System.

Xiu Tang, Sai Wu, Dongxiang Zhang, Ziyue Wang, Gongsheng Yuan, Gang Chen

Proc. VLDB Endow., 2023

Detecting Logic Bugs of Join Optimizations in DBMS.

Xiu Tang, Sai Wu, Dongxiang Zhang, Feifei Li, Gang Chen

Proc. ACM Manag. Data, 2023

2022

PreQR: Pre-training Representation for SQL Understanding.

Xiu Tang, Sai Wu, Mingli Song, Shanshan Ying, Feifei Li, Gang Chen

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Using the Strongest Adversarial Example to Alleviate Robust Overfitting.

Ce Xu, Xiu Tang, Peng Lu

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

DeMRC: Dynamically Enhanced Multi-hop Reading Comprehension Model for Low Data.

Xiu Tang, Yangchao Xu, Xuefeng Lu, Qiang He, Jun Fang, Junjie Chen

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021

Predicting post-operative right ventricular failure using video-based deep learning.

Rohan Shad, Nicolas Quach, Robyn Fong, Patpilai Kasinpila, Cayley Bowles, Miguel Castro, Ashrith Guha, Eddie Suarez, Stefan Jovinge, Sangjin Lee, Theodore Boeve, Myriam Amsallem, Xiu Tang, Francois Haddad, Yasuhiro Shudo, Y. Joseph Woo, Jeffrey J. Teuteberg, John P. Cunningham, Curtis P. Langlotz, William Hiesinger

CoRR, 2021

A Learning to Tune Framework for LSH.

Xiu Tang, Sai Wu, Gang Chen, Jinyang Gao, Wei Cao, Zhifei Pang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Learning to Label with Active Learning and Reinforcement Learning.

Xiu Tang, Sai Wu, Gang Chen, Ke Chen, Lidan Shou

Proceedings of the Database Systems for Advanced Applications, 2021