Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text. - Yixuan Cao 001; Hongwei Li 002; Ping Luo 001; Jiaquan Yao (WWW, 2018)

Nested Relation Extraction with Iterative Neural Network. - Yixuan Cao 001; Dian Chen 002; Hongwei Li 002; Ping Luo 001 (CIKM, 2019)

Semantic Matching over Matrix-Style Tables in Richly Formatted Documents. - Hongwei Li 002; Qingping Yang; Yixuan Cao 001; Ganbin Zhou; Ping Luo 001 (DEXA (1), 2020)

Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts. - Hongwei Li 002; Qingping Yang; Yixuan Cao 001; Jiaquan Yao; Ping Luo 001 (KDD, 2020)

Pairwise Causality Structure: Towards Nested Causality Mining on Financial Statements. - Dian Chen 002; Yixuan Cao 001; Ping Luo 001 (NLPCC (1), 2020)

A Bottom-Up DAG Structure Extraction Model for Math Word Problems. - Yixuan Cao 001; Feng Hong; Hongwei Li 002; Ping Luo 001 (AAAI, 2021)

Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies. - Zhengqi Xu; Yixuan Cao 001; Rongyu Cao; Guoxiang Li; Xuanqiang Liu; Yan Pang; Yangbin Wang; Jianfei Zhang; Allie Cheung; Matthew Tam; Lukas Petrikas; Ping Luo 001 (CIKM, 2021)

Numerical Formula Recognition from Tables. - Qingping Yang; Yixuan Cao 001; Hongwei Li 002; Ping Luo 001 (KDD, 2021)

Nested relation extraction with iterative neural network. - Yixuan Cao 001; Dian Chen 002; Zhengqi Xu; Hongwei Li 002; Ping Luo 001 (Frontiers Comput. Sci., 2021)

Rich-text document styling restoration via reinforcement learning. - Hongwei Li 002; Yingpeng Hu; Yixuan Cao 001; Ganbin Zhou; Ping Luo 001 (Frontiers Comput. Sci., 2021)

Numerical Tuple Extraction from Tables with Pre-training. - Qingping Yang; Yixuan Cao 001; Ping Luo 001 (KDD, 2022)

Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application. - Rongyu Cao; Yixuan Cao 001; Ganbin Zhou; Ping Luo 001 (J. Comput. Sci. Technol., 2022)

Guideline Learning for In-Context Information Extraction. - Chaoxu Pang; Yixuan Cao 001; Qiang Ding; Ping Luo 001 (EMNLP, 2023)

Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification. - Qiang Ding; Yixuan Cao 001; Ping Luo 001 (NeurIPS, 2023)

Uncovering Limitations of Large Language Models in Information Seeking from Tables. - Chaoxu Pang; Yixuan Cao 001; Chunhao Yang; Ping Luo 001 (ACL (Findings), 2024)

Attention with Dependency Parsing Augmentation for Fine-Grained Attribution. - Qiang Ding; Lvzhou Luo; Yixuan Cao 001; Ping Luo 001 (ACL (Findings), 2025)

Inspire Me with Your Questions: Repurposing Historical Questions for New Documents. - Yifan Liu; Yixuan Cao 001; Ping Luo (DEXA (2), 2025)

An Efficient Candidate-Free R-S Set Similarity Join Algorithm with the Filter-and-Verification Tree and MapReduce. - Yuhong Feng; Fangcao Jian; Yixuan Cao 001; Xiaobin Jian; Jia Wang; Haiyue Feng; Chunyan Miao (CoRR, 2025)

Tech-ASan: Two-stage check for Address Sanitizer. - Yixuan Cao 001; Yuhong Feng; Huafeng Li; Chongyi Huang; Fangcao Jian; Haoran Li; Xu Wang (CoRR, 2025)

Document-Level Tabular Numerical Cross-Checking: A Coarse-to-Fine Approach. - Chaoxu Pang; Yixuan Cao 001; Ganbin Zhou; Hongwei Li 002; Ping Luo 001 (CoRR, 2025)

Read the Docs Before Rewriting: Equip Rewriter with Domain Knowledge via Continual Pre-training. - Qi Wang; Yixuan Cao 001; Yifan Liu; Jiangtao Zhao; Ping Luo (CoRR, 2025)

Towards Efficient Quantity Retrieval from Text:An Approach via Description Parsing and Weak Supervision. - Yixuan Cao 001; Zhengrong Chen; Chengxuan Xia; Kun Wu; Ping Luo (CoRR, 2025)