Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet. - Xingwei He 003; Victor O. K. Li (AAAI, 2021)

Parallel Refinements for Lexically Constrained Text Generation with BART. - Xingwei He 003 (EMNLP (1), 2021)

Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences. - Xingwei He 003; Siu-Ming Yiu (ACL (1), 2022)

Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning. - Xingwei He 003; Yeyun Gong; A-Long Jin; Weizhen Qi; Hang Zhang 029; Jian Jiao 007; Bartuer Zhou; Biao Cheng; Siu-Ming Yiu; Nan Duan (EMNLP, 2022)

Curriculum Sampling for Dense Retrieval with Document Expansion. - Xingwei He 003; Yeyun Gong; A-Long Jin; Hang Zhang 029; Anlei Dong; Jian Jiao 007; Siu-Ming Yiu; Nan Duan (CoRR, 2022)

CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion. - Xingwei He 003; Yeyun Gong; A-Long Jin; Hang Zhang 029; Anlei Dong; Jian Jiao 007; Siu-Ming Yiu; Nan Duan (EMNLP, 2023)

PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models. - Xingwei He 003; A-Long Jin; Jun Ma; Yuan Yuan; Siu Ming Yiu (EMNLP (Findings), 2023)

Noisy Pair Corrector for Dense Retrieval. - Hang Zhang 029; Yeyun Gong; Xingwei He 003; Dayiheng Liu; Daya Guo; Jiancheng Lv 001; Jian Guo (EMNLP (Findings), 2023)

Improving Factual Error Correction by Learning to Inject Factual Errors. - Xingwei He 003; Qianru Zhang; A-Long Jin; Jun Ma; Yuan Yuan; Siu Ming Yiu (AAAI, 2024)

Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval. - Hang Zhang 029; Yeyun Gong; Dayiheng Liu; Shunyu Zhang; Xingwei He 003; Jiancheng Lv 001; Jian Guo (LREC/COLING, 2024)

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. - Xingwei He 003; Zhenghao Lin; Yeyun Gong; A-Long Jin; Hang Zhang 029; Chen Lin 001; Jian Jiao 007; Siu Ming Yiu; Nan Duan; Weizhu Chen (NAACL (Industry Track), 2024)

A Survey of Generative Techniques for Spatial-Temporal Data Mining. - Qianru Zhang; Haixin Wang 003; Cheng Long 001; Liangcai Su; Xingwei He 003; Jianlong Chang; Tailin Wu; Hongzhi Yin; Siu-Ming Yiu; Qi Tian 001; Christian S. Jensen (CoRR, 2024)

Enhancing Few-Shot Stock Trend Prediction with Large Language Models. - Yiqi Deng; Xingwei He 003; Jiahao Hu; Siu-Ming Yiu (CoRR, 2024)

TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions. - Xingwei He 003; Qianru Zhang; A-Long Jin; Yuan Yuan; Siu-Ming Yiu (CoRR, 2024)

Tag-Instruct: Controlled Instruction Complexity Enhancement through Structure-based Augmentation. - He Zhu; Zhiwen Ruan; Junyou Su; Xingwei He 003; Yun Chen; Wenjia Zhang; Guanhua Chen (ACL (Findings), 2025)

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security. - Qianru Zhang; Peng Yang 016; Junliang Yu; Haixin Wang 003; Xingwei He 003; Siu-Ming Yiu; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2025)