Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop. - Yutao Zhang; Fanjin Zhang; Peiran Yao; Jie Tang 001 (KDD, 2018)

OAG: Toward Linking Large-scale Heterogeneous Entity Graphs. - Fanjin Zhang; Xiao Liu 036; Jie Tang 001; Yuxiao Dong; Peiran Yao; Jie Zhang 078; Xiaotao Gu; Yan Wang 120; Bin Shao; Rui Li; Kuansan Wang (KDD, 2019)

Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out. - Peiran Yao; Denilson Barbosa 001 (WWW, 2021)

WordTies: Measuring Word Associations in Language Models via Constrained Sampling. - Peiran Yao; Tobias Renwick; Denilson Barbosa 001 (EMNLP (Findings), 2022)

NLP Workbench: Efficient and Extensible Integration of State-of-the-art Text Mining Tools. - Peiran Yao; Matej Kosmajac; Abeer Waheed; Kostyantyn Guzhva; Natalie Hervieux; Denilson Barbosa 001 (EACL (System Demonstrations), 2023)

OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs. - Fanjin Zhang; Xiao Liu 036; Jie Tang 001; Yuxiao Dong; Peiran Yao; Jie Zhang 078; Xiaotao Gu; Yan Wang 120; Evgeny Kharlamov; Bin Shao; Rui Li; Kuansan Wang (IEEE Trans. Knowl. Data Eng., 2023)

Accurate and Nuanced Open-QA Evaluation Through Textual Entailment. - Peiran Yao; Denilson Barbosa 001 (ACL (Findings), 2024)

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study. - Xuefei Ning; Zifu Wang; Shiyao Li; Zinan Lin 001; Peiran Yao; Tianyu Fu 004; Matthew B. Blaschko; Guohao Dai; Huazhong Yang; Yu Wang 002 (NeurIPS, 2024)

Can LLMs Learn by Teaching? A Preliminary Study. - Xuefei Ning; Zifu Wang; Shiyao Li; Zinan Lin 001; Peiran Yao; Tianyu Fu 004; Matthew B. Blaschko; Guohao Dai; Huazhong Yang; Yu Wang 002 (CoRR, 2024)

Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM. - Peiran Yao; Kostyantyn Guzhva; Denilson Barbosa 001 (CoRR, 2024)