Welcome to Xiaoyan Yu (Sunny)’s Personal Homepage!
I am a Ph.D. student at the Beijing Institute of Technology (BIT), School of Computer Science and Engineering. I received my master’s degree at the University of Chinese Academy of Sciences as a master’s student, advised by Prof. Yongbin Zhou. During this time, I had a wonderful experience at the Institute of Automation, Chinese Academy of Sciences, under the guidance of Kang Liu and Shizhu He.
My research interests lie in the field of natural language processing (NLP), with a focus on Question Answering. Currently, I am highly intrigued by exploring the intersection of LLMs (Large Language Models) and data mining.
To date, I have authored two papers as the first author, which have been published at AI conferences including the CIKM, EMNLP, with total google scholar 
🔥 News
- 2025.2: 🎉 Our paper “Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space” has been accepted to AAAI 2025!
- 2024.09: 🎉🎉 Our paper “Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent” has been accepted to EMNLP 2024!
- 2024.07: 🎉🎉 Our paper “DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism” has been accepted to CIKM 2024!
- 2024.07: 🎉🎉 Our paper “Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models” has been accepted to CIKM 2024 (short paper)!
- 2023.10: 🎉 Our paper “MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models” has been accepted to EMNLP 2023 Findings!
📝 Publications
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space
Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Hao Peng, Liehuang Zhu, Philip S. Yu
We introduce HyperSED, an effective and efficient unsupervised framework for social event detection, which exploits the benefits of graph learning in the hyperbolic space and structural information to achieve event detection.
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent
Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu
We present Neeko, an innovative framework designed for efficient multiple characters imitation. Unlike existing methods, Neeko employs a dynamic low-rank adapter (LoRA) strategy, enabling it to adapt seamlessly to diverse characters.
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism
Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S Yu
This paper proposes a personalized federated learning framework with a dual aggregation mechanism for social event detection, namely DAMe.
Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu
This study investigates the differences between entity and relational knowledge through knowledge editing. Our findings reveal that entity and relational knowledge cannot be directly transferred or mapped to each other.
Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
Findings of the Association for Computational Linguistics: EMNLP 2023
We construct Multiple Sensitive Factors Time QA (MenatQA), which encompasses three temporal factors (scope factor, order factor, counterfactual factor) with total 2,853 samples for evaluating the time comprehension and reasoning abilities of LLMs.
Assessing knowledge editing in language models via relation perspective
Yifan Wei, Xiaoyan Yu, Huanhuan Ma, Fangyu Lei, Yixuan Weng, Ran Song, Kang Liu
🚀 Projects
📖 Educations
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2020.09 - 2022.07, M.S. in Artificial Intelligence, Institute of Automation, Chinese Academy of Sciences. Advisors: Prof. Kang Liu and Prof. Jun Zhao.
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2022.09 - now, Ph.D. candidate at the School of Computer Science and Engineering, Beijing Institute of Technology.
💻 Internships
📅 Academic Services
📖 Reviewers
- Annual Meeting of the Association for Computational Linguistics 2023, 2024, Reviewer
- Annual Conference on Neural Information Processing Systems (NeurIPS) Dataset&Benchmark track 2023, Reviewer
- ACM International Conference on Information and Knowledge Management (CIKM) 2024, PC member