I’m currently a first-year Ph.D. student in Data Science and Analytics (DSA) at The Hong Kong University of Science and Technology (Guangzhou), advised by Prof. Jia Li. Before that, I recieved my Master degree from school of Computer Science at Wuhan University in 2024, advised by Prof. Min Peng, and I recieved my Bachelor degree from Software College of Northeastern University in 2021.

My research interest lies in Natural Language Precessing and Graph Learning, including Knowledge Representation Learning and Knowledge Graph Reasoning. Currently, my work also focus on exploring Knowledge-enhanced Large Language Models, Anomaly Detection and Knowledge Editing.

🔥 News

• 2024.03:  🎉 One paper is accepted to NAACL 2024 Findings.
• 2024.01:  🎉 One paper is accepted to WWW 2024.
• 2023.05:  🎉 One paper is accepted to ACL 2023 Findings.
• 2023.03:  🎉 One paper is accepted to World Wide Web Journal.
• 2022.10:  🎉 One paper is accepted to EMNLP 2022 Findings.
• 2022.09:   Achieved Top 1% rank in ICDM 2022 & Alibaba Tianchi Competition.

📝 Publications

(* = Equal Contribution)

• NAACL 2024 Findings Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning, Miao Peng*, Ben Liu*, Wenjie Xu, Zihao Jiang, Jiahui Zhu, Min Peng
• WWW 2024 UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph, Ben Liu, Miao Peng, Wenjie Xu, Xu Jia, Min Peng
• ACL 2023 Findings Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion, Wenjie Xu, Ben Liu, Miao Peng, Xu Jia, Min Peng
• WWWJ 2023 Neighboring relation enhanced inductive knowledge graph link prediction via meta-learning, Ben Liu, Miao Peng, Wenjie Xu, Min Peng
• EMNLP 2022 Findings SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction, Miao Peng, Ben Liu, Qianqian Xie, Wenjie Xu, Hua Wang, Min Peng

🎖 Honors and Awards

• 2024.06 Outstanding Graduates of WHU
• 2023.10 Tencent Special Scholarship
• 2022.09 Top 1% (6/2057) in Alibaba Tianchi Competition “Risk Commodities Detection on Large-Scale E-commerce Graphs”
• 2022-2023 Outstanding Student Scholarship of WHU
• 2022-2023 Merit student of WHU
• 2021.06 Outstanding Graduates of NEU
• 2018-2021 Outstanding Student Scholarship of NEU
• 2018-2021 Merit student of NEU

📖 Educations

• 2024.09 - Now, Ph.D., Data Science and Analytics, The Hong Kong University of Science and Technology (Guangzhou).
• 2021.09 - 2024.06, Master, Computer Science and Technology, Wuhan University.
• 2017.09 - 2021.06, Undergraduate, Software Engineering, Northeastern University.

✏️ Professional Services

• Peer Reviewer: EMNLP, NAACL, TNNLS, CCL
• Academic Conferences: EMNLP 2022, CCKS 2022, CCL 2023