Learning to Label with Active Learning and Reinforcement Learning. - Xiu Tang; Sai Wu; Gang Chen 001; Ke Chen 005; Lidan Shou (DASFAA (2), 2021)

A Learning to Tune Framework for LSH. - Xiu Tang; Sai Wu; Gang Chen 001; Jinyang Gao; Wei Cao 006; Zhifei Pang (ICDE, 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; et al. (CoRR, 2021)

DeMRC: Dynamically Enhanced Multi-hop Reading Comprehension Model for Low Data. - Xiu Tang; Yangchao Xu; Xuefeng Lu; Qiang He; Jun Fang; Junjie Chen (ADMA (2), 2022)

Using the Strongest Adversarial Example to Alleviate Robust Overfitting. - Ce Xu; Xiu Tang; Peng Lu (ADMA (2), 2022)

PreQR: Pre-training Representation for SQL Understanding. - Xiu Tang; Sai Wu; Mingli Song; Shanshan Ying; Feifei Li 001; Gang Chen 001 (SIGMOD Conference, 2022)

Detecting Logic Bugs of Join Optimizations in DBMS. - Xiu Tang; Sai Wu; Dongxiang Zhang; Feifei Li 001; Gang Chen 001 (Proc. ACM Manag. Data, 2023)

A Demonstration of DLBD: Database Logic Bug Detection System. - Xiu Tang; Sai Wu; Dongxiang Zhang; Ziyue Wang; Gongsheng Yuan; Gang Chen 001 (Proc. VLDB Endow., 2023)

Unlocking the Power of Diversity in Index Tuning for Cluster Databases. - Haitian Hang; Xiu Tang; Bo Zhou 010; Jianling Sun (DEXA (2), 2024)

Robust Auto-Scaling with Probabilistic Workload Forecasting for Cloud Databases. - Haitian Hang; Xiu Tang; Jianling Sun; Lingfeng Bao; David Lo 001; Haoye Wang (ICDE, 2024)

TWIST: Text-only Weakly Supervised Scene Text Spotting Using Pseudo Labels. - Lilong Wen; Xiu Tang; Dongxiang Zhang (ICMR, 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)

CORAL: Collaborative Automatic Labeling System based on Large Language Models. - Zhen Zhu 007; Yibo Wang; Shouqing Yang; Lin Long; Runze Wu 001; Xiu Tang; Junbo Zhao 002; Haobo Wang 001 (Proc. VLDB Endow., 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 001 (Proc. VLDB Endow., 2024)

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 002; Jingyuan Chen (AAAI, 2025)

CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation. - Hongwei Yuan; Xiu Tang; Ke Chen 005; Lidan Shou; Gang Chen 001; Huan Li 003 (AAAI, 2025)

T²DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning. - Han Lin; Xiu Tang; Huan Li 003; Wenxue Cao; Sai Wu; Chang Yao; Lidan Shou; Gang Chen 001 (ACL (Findings), 2025)

General Neural Embedding for Sequence Distance Approximation. - Zhihao Chang; Ding Wang; Xiu Tang; Kingsum Chow; Jianwei Yin (SIGIR, 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., 2025)

CoLA: Model Collaboration for Log-based Anomaly Detection. - Xuhang Zhu; Xiu Tang; Sai Wu; Jichen Li; Haobo Wang 001; Chang Yao; Quanqing Xu; Gang Chen 001 (Proc. VLDB Endow., 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 001 (Proc. VLDB Endow., 2025)