Publications

(*=Equal Contribution)

• TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision
  Yunyi Zhang, Ruozhen Yang*, Xueqiang Xu*, Rui Li*, Jinfeng Xiao, Jiaming Shen, Jiawei Han.
  arXiv:2403.00165

• A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion
  Yanzhen Shen, Yu Zhang, Yunyi Zhang, Jiawei Han.
  arXiv:2402.13405

• Unsupervised Episode Detection for Large-Scale News Events
  Priyanka Kargupta, Yunyi Zhang, Yizhu Jiao, Siru Ouyang, Jiawei Han.
  arXiv:2408.04873

• ACER: Automatic Language Model Context Extension via Retrieval
  Luyu Gao, Yunyi Zhang, Jamie Callan.
  arXiv:2410.09141

• Taxonomy-guided Semantic Indexing for Academic Paper Search
  SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu.
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

• Automated Mining of Structured Knowledge from Text in the Era of Large Language Models [Website]
  Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024. (Tutorial)

• Ontology Enrichment for Effective Fine-grained Entity Typing [Paper]
  Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.

• Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains [Paper] [Code]
  Yu Zhang*, Yunyi Zhang*, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, and Jiawei Han.
  AAAI Conference on Artificial Intelligence (AAAI), 2024.

• PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training [Paper] [Code]
  Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han.
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.

• Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers [Paper] [Code]
  Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, and Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.

• Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective [Website]
  Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, and Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. (Tutorial)

• Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding [Paper] [Code]
  Susik Yoon, Dongha Lee, Yunyi Zhang and Jiawei Han.
  ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR), 2023.

• Unsupervised Event Chain Mining from Multiple Documents [Paper]
  Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang and Jiawei Han.
  The ACM Web Conference (WWW), 2023.

• Mining Structures from Massive Texts by Exploring the Power of Pre-trained Language Models [Website]
  Yu Zhang, Yunyi Zhang, and Jiawei Han.
  The International Conference on Extending Database Technology (EDBT), 2023. (Tutorial)

• Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts [Paper] [Code]
  Yu Zhang*, Yunyi Zhang*, Martin Michalski*, Yucheng Jiang*, Yu Meng*, and Jiawei Han.
  ACM International Conference on Web Search and Data Mining (WSDM), 2023.

• Entity Set Co-Expansion in StackOverflow [Paper]
  Yu Zhang*, Yunyi Zhang*, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han.
  Workshop on Knowledge Discovery and Data Mining in IT Operations (BigData-IT@IEEE BigData), 2022.

• Unsupervised Key Event Detection from Massive Text Corpora [Paper] [Code]
  Yunyi Zhang, Fang Guo, Jiaming Shen, and Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.

• Topic Discovery via Latent Space Clustering of Language Model Representations [Paper] [Code]
  Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang and Jiawei Han.
  The ACM Web Conference (WWW), 2022.

• Corpus-based Open-Domain Event Type Induction [Paper] [Code]
  Jiaming Shen, Yunyi Zhang, Heng Ji, and Jiawei Han.
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

• Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training [Paper] [Code]
  Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji and Jiawei Han.
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

• Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup [Paper] [Code: GradCache, GC-DPR]
  Luyu Gao, Yunyi Zhang, Jiawei Han, Jamie Callan.
  The 6th Workshop on Representation Learning for NLP (RepL4NLP@ACL), 2021.

• Text Classification Using Label Names Only: A Language Model Self-Training Approach [Paper] [Code]
  Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han.
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.

• Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding [Paper] [Code]
  Yu Meng*, Yunyi Zhang*, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020.

• CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring [Paper] [Code]
  Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020.

• Empower Entity Set Expansion via Language Model Probing [Paper] [Code]
  Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han.
  Annual Meeting of the Association for Computational Linguistics (ACL), 2020.

• Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion [Paper] [Code]
  Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han.
  The ACM Web Conference (WWW), 2020.

• Complexity of Leading Digit Sequences [Paper]
  Xinwei He*, A. J. Hildebrand*, Yuchen Li*, Yunyi Zhang*.
  Discrete Mathematics & Theoretical Computer Science, vol. 22 no. 1, April 2020.