Yunhe Pang （庞运河）

Ph.D. Candidate in Computer Science and Technology
Sun Yat-sen University (SYSU) 🏫

📧 Email 🎓 Google Scholar 💻 GitHub 📚 DBLP 📖 Semantic Scholar

🧑‍🔬 About Me

I am a Ph.D. student (since Fall 2024) at the School of Computer Science and Engineering, Sun Yat-sen University (SYSU), advised by Prof. Yanghui Rao. My research focuses on Large Language Models (LLMs) and Academic Data Mining: building reliable data mining systems for scholarly graphs, including author name disambiguation, anomaly detection, and LLM-enhanced scholarly information extraction and reasoning. I have also worked on sentiment analysis and emotion recognition.

Since 2023, I have been a research intern at Zhipu AI, working on large language models and academic knowledge graphs (e.g., AMiner). Our recent work on cross-source correction for author name disambiguation (CrossND, KDD 2026) has been deployed to support large-scale paper-author assignment correction in practice.

Before joining SYSU, I earned my Master's degree (2020–2023) and Bachelor's degree (2016–2020) in Computer Science and Technology from North China Electric Power University (NCEPU).

🔥 News

2026.05 New One paper accepted by KDD 2026 (Applied Data Science Track) — CrossND for cross-source author name disambiguation correction!
2026.04 New Two papers accepted by ACL 2026 (Main) — HopWeaver for multi-hop question synthesis and RPC-Bench for research paper comprehension!
2025.08 Pub One paper accepted by EMNLP 2025 (Main) — CARE for disagreement detection!
2025.05 Pub One paper accepted by KDD 2025 — GuARD for anomaly detection!
2025.05 Pub One paper accepted by ACL 2025 — CoE for emotion recognition!
2024.09 Started Ph.D. journey at Sun Yat-sen University.
2024.05 Pub One paper accepted by KDD 2024 — OAG-Bench benchmark!
2023.07 Joined Zhipu AI as a Research Intern.

🔬 Research Interests

Large Language Models (LLMs) Academic Graph Mining Scholarly Knowledge Graphs Author Name Disambiguation Anomaly Detection LLM-enhanced Information Extraction & Reasoning Sentiment Analysis & Emotion Recognition Graph Neural Networks

📝 Selected Publications

(* denotes equal contribution, bold & underlined denotes me)
Full list on Google Scholar.

📅 2026

Cross-Source Reasoning-based Correction for Author Name Disambiguation

Fanjin Zhang*, Yunhe Pang*, Bo Chen, Zhiyu Shen, Yanghui Rao, Evgeny Kharlamov, Jie Tang

KDD 2026 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Applied Data Science Track)

Paper arXiv Code

HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions

Zhiyu Shen, Jiyuan Liu, Yunhe Pang, Yanghui Rao, Fu Lee Wang, Jianxing Yu

ACL 2026 Annual Meeting of the Association for Computational Linguistics (Main)

Paper arXiv

RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension

Yelin Chen, Fanjin Zhang, Suping Sun, Yunhe Pang, Yuanchun Wang, Jian Song, Xiaoyan Li, Lei Hou, Shu Zhao, Jie Tang, Juanzi Li

ACL 2026 Annual Meeting of the Association for Computational Linguistics (Main)

Paper

📅 2025

CARE: A Disagreement Detection Framework with Concept Alignment and Reasoning Enhancement

Jiyuan Liu, Jielin Song, Yunhe Pang, Zhiyu Shen, Yanghui Rao

EMNLP 2025 Conference on Empirical Methods in Natural Language Processing (Main)

Paper

GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model

Yunhe Pang, Bo Chen, Fanjin Zhang, Yanghui Rao, Evgeny Kharlamov, Jie Tang

KDD 2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Research Track)

Paper Code

CoE: A Clue of Emotion Framework for Emotion Recognition in Conversations

Zhiyu Shen, Yunhe Pang, Yanghui Rao, Jianxing Yu

ACL 2025 Annual Meeting of the Association for Computational Linguistics (Main)

Paper

📅 2024

OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining

Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang

KDD 2024 ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Paper Code

📅 2022

Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis

Yinglong Ma, Yunhe Pang

COLING 2022 International Conference on Computational Linguistics

Paper

🎓 Education

2024 – Present

Ph.D. in Computer Science and Technology

Sun Yat-sen University (SYSU), Guangzhou, China

Advisor: Prof. Yanghui Rao

2020 – 2023

M.Eng. in Computer Science and Technology

North China Electric Power University (NCEPU), Beijing, China

2016 – 2020

B.Eng. in Computer Science and Technology

North China Electric Power University (NCEPU), Beijing, China

💼 Experience

2023 – Present

Research Intern — Zhipu AI

Research on academic graph mining and LLM-enhanced data mining for scholarly data quality, including author name disambiguation and anomaly detection (GuARD, KDD 2025; CrossND, KDD 2026), as well as academic knowledge graph construction and benchmarking (OAG-Bench, KDD 2024).

🤝 Academic Services

Co-organizer, KDD Cup 2024 OAG-Challenge — baseline construction for the WhoIsWho (author name disambiguation) track.
Reviewer for AI/NLP conferences and journals.

📬 Contact

Feel free to reach out for collaboration or discussion!
📧 pangyh8@mail2.sysu.edu.cn | 💻 GitHub | 🎓 Google Scholar