Xiu Tang

According to our database, Xiu Tang authored at least 21 papers between 2021 and 2025.

Collaborative distances:

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

2025

A Demonstration of QueryArtisan: Real-Time Data Lake Analysis via Dynamically Generated Data Manipulation Code.

Wenhao Liu, Xiu Tang, Sai Wu, Chang Yao, Gongsheng Yuan, Gang Chen

Proc. VLDB Endow., August, 2025

CoLA: Model Collaboration for Log-based Anomaly Detection.

Xuhang Zhu, Xiu Tang, Sai Wu, Jichen Li, Haobo Wang, Chang Yao, Quanqing Xu, Gang Chen

Proc. VLDB Endow., July, 2025

Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems.

Jiani Yang, Sai Wu, Yong Wang, Dongxiang Zhang, Yifei Liu, Xiu Tang, Gang Chen

Proc. VLDB Endow., June, 2025

General Neural Embedding for Sequence Distance Approximation.

Zhihao Chang, Ding Wang, Xiu Tang, Kingsum Chow, Jianwei Yin

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

T²DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning.

Han Lin, Xiu Tang, Huan Li, Wenxue Cao, Sai Wu, Chang Yao, Lidan Shou, Gang Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation.

Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, Huan Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning.

Zhenlong Dai, Bingrui Chen, Zhuoluo Zhao, Xiu Tang, Sai Wu, Chang Yao, Zhipeng Gao, Jingyuan Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes.

Xiu Tang, Wenhao Liu, Sai Wu, Chang Yao, Gongsheng Yuan, Shanshan Ying, Gang Chen

Proc. VLDB Endow., October, 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

EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation.

Milos Vukadinovic, Xiu Tang, Neal Yuan, Paul P. Cheng, Debiao Li, Susan Cheng, Bryan He, David Ouyang

CoRR, 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