Ye Liu (刘 烨) PhD candidate University of Science and Technology of China State Key Laboratory of Cognitive Intelligence Anhui Province, Hefei City China Email: liuyer@mail.ustc.edu.cn Links: Google Scholar, GitHub, CV

Biography

I am a Ph.D. student at the School of Artificial Intelligence and Data Science, University of Science and Technology of China (USTC), and a member of State Key Laboratory of Cognitive Intelligence. My supervisor is Prof. Enhong Chen. I received my Bachelor degree from USTC in July, 2019, and majored in Electronic Information Engineering.

My research interests include Natural Language Processing, Knowledge Graph and Large Language Models (LLMs).

Currently, I am a visiting PhD student with Prof. Xiaofang Zhou at The Hong Kong University of Science and Technology (HKUST).

I am on the job market the next year! I will graduate with my PhD degree in spring 2025. I am open to faculty/postdoctoral positions or related industry roles. Please get in touch!

Selected Publications (* Corresponding Author)

1. Natural Language Processing:

• TechPat: Technical Phrase Extraction for Patent Mining. [Code]
  Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen*
  ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 2023.
  

• Technical Phrase Extraction for Patent Mining: A Multi-level Approach. [Code]
  Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen*, Hanqing Tao and Ke Rui
  The 2020 IEEE International Conference on Data Mining (ICDM), 2020.
  

• QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction.
  Kehang Wang, Ye Liu, Kai Zhang, Qi Liu, Yankun Ren, Xinxing Yang, Longfei Li, Jun Zhou
  The 29th International Conference on Database Systems for Advanced Applications (DASFAA), 2024.
  

• Learnable Relational Knowledge Distillation Through Orthogonal Projection.
  Feng Hu, Kai Zhang, Ye Liu, Meikai Bao, Xukai Liu, Junyu Lu, Linbo Zhu, Qi Liu
  ACL ARR 2024 June (Under Review).
  

• Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure.
  Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen*, Wei Tong, Zi Yan
  The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021.
  

• Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering. [Code]
  Meikai Bao, Qi Liu*, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou
  The 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023.
  

• Guided Attention Network for Concept Extraction.
  Songtao Fang, Zhenya Huang*, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu
  The 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.
  

• Text Classification via Learning Semantic Dependency and Association.
  Guanqi Zhu, Hanqing Tao, Han Wu, Liyi Chen, Ye Liu, Qi Liu, Enhong Chen*
  The 2022 IEEE World Congress on Computational Intelligence - IJCNN (IJCNN), 2022.
  

• Diagnosis then Aggregation: An Adaptive Ensemble strategy for Keyphrase Extraction.
  Xin Jin, Qi Liu*, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi
  CAAI International Conference on Artificial Intelligence (CICAI), 2023. (Finalist of Best Paper Award!)
  

2. Knowledge Graph:

• Enhancing Hierarchical Text Classification through Knowledge Graph Integration. [Code]
  Ye Liu, Kai Zhang*, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen*
  Findings of the 61st annual meeting of the Association for Computational Linguistics (ACL-Findings), 2023.
  

• Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization. [Code]
  Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang*, Xukai Liu, Qi Liu, Enhong Chen
  Findings of the 62nd annual meeting of the Association for Computational Linguistics (ACL-Findings), 2024.
  

• Discover rather than Memorize: A Novel Benchmark for Relational Triple Extraction.
  Aoran Gan, Ye Liu, Hongbo Gang, Kai Zhang, Qi Liu, Guoping Hu
  ACL ARR 2024 June (Under Review).
  

• RHGH: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs. [Code]
  Xukai Liu, Kai Zhang*, Ye Liu, Enhong Chen, Zhenya Huang, , Linan Yue, Jiaxian Yan
  Findings of the 61st annual meeting of the Association for Computational Linguistics (ACL-Findings), 2023.
  

• Class-Dynamic and Hierarchy-Constrained Network for Entity Linking.
  Kehang Wang, Qi Liu*, Kai Zhang, Ye Liu, Hanqin Tao, Zhenya Huang, Enhong Chen
  The 28th International Conference on Database Systems for Advanced Applications (DASFAA), 2023.
  

3. Large Language Models:

• Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models.
  Ye Liu, Kai Zhang*, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen
  The 29th International Conference on Database Systems for Advanced Applications (DASFAA), 2024.
  

• Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection.
  Ye Liu, Jiajun Zhu, Kai Zhang, Haoyu Tang, Yanghai Zhang, Xukai Liu, Qi Liu, Enhong Chen
  ACL ARR 2024 June (Under Review).
  

• OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting.
  Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen
  ACL ARR 2024 June (Under Review).
  

• Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models.
  Haoyu Tang, Ye Liu, Xukai Liu, Kai Zhang, Yanghai Zhang, Qi Liu, Enhong Chen
  NeurIPS 2024 (Under Review).
  

• FedJudge: Federated Legal Large Language Model.
  Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, et al.
  The 29th International Conference on Database Systems for Advanced Applications (DASFAA), 2024.
  

4. Other Domains:

• Cooperative Classification and Rationalization for Graph Generalization.
  Linan Yue, Qi Liu, Ye Liu, Weibo Gao, et al.
  The ACM Web Conference, 2024 (WWW), 2024.
  

• Federated Self-Explaining GNNs with Anti-shortcut Augmentations.
  Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, et al.
  The 41st International Conference on Machine Learning (ICML), 2024.
  

• A Hierarchical Interactive Multi-channel Graph Neural Network for Technological Knowledge Flow Forecasting.
  Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen
  Knowledge and Information Systems (KAIS), 2022.
  

• Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network.
  Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen
  IEEE International Conference on Data Mining (ICDM), 2021.
  

• Stable and Diverse: A Unified Approach for Computerized Adaptive Testing.
  Yuting Ning, Ye Liu, Zhenya Huang, Haoyang Bi, Qi Liu, Enhong Chen*, Dan Zhang
  The 7th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2021.
  

• Legal Judgment Prediction with Multiple Perspectives on Civil Cases.
  
Lili Zhao, Linan Yue, Yanqing An, Ye Liu, Kai Zhang, Weidong He, Yanmin Chen, Qi Liu*
The 1st CAAI International Conference on Artificial Intelligence (CICAI), 2021.

Honors & Awards

CICAI Finalist of Best Paper Award (Top-3), 2023.

National Scholarship, 2015.