Publications

(*=Equal Contribution)

2024

• Representation Deficiency in Masked Language Modeling [PDF]
  Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer.
  International Conference on Learning Representations (ICLR), 2024

• Evaluating Large Language Models at Evaluating Instruction Following [PDF]
  Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen.
  International Conference on Learning Representations (ICLR), 2024

2023

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

• Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias [PDF] [Code]
  Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang.
  Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS Benchmark), 2023

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

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

• Patton: Language Model Pretraining on Text-Rich Networks [PDF] [Code]
  Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han.
  Annual Meeting of the Association for Computational Linguistics (ACL), 2023

• ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval [PDF] [Code]
  Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen and Chao Zhang.
  Findings of Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2023

• Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning [PDF] [Code]
  Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek Abdelzaher, Jiawei Han.
  International Conference on Machine Learning (ICML), 2023

• SCStory: Self-supervised and Continual Online Story Discovery [PDF] [Code]
  Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han.
  The Web Conference (WWW), 2023

• The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study [PDF] [Code]
  Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han.
  The Web Conference (WWW), 2023

• Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks [PDF] [Code]
  Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han.
  International Conference on Learning Representations (ICLR), 2023

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

• FineSum: Target-Oriented, Fine-Grained Opinion Summarization [PDF] [Code]
  Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han.
  ACM International Conference on Web Search and Data Mining (WSDM), 2023

• Turning Web-Scale Texts to Knowledge: Transferring Pretrained Representations to Text Mining Applications [Tutorial Page]
  Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han.
  The Web Conference (WWW), 2023 (Tutorial)

2022

• Generating Training Data with Language Models: Towards Zero-Shot Language Understanding [PDF] [Code]
  Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han.
  Annual Conference on Neural Information Processing Systems (NeurIPS), 2022

• Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation [PDF] [Code]
  Jiaxin Huang, Yu Meng, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022

• Adapting Pretrained Text Representations to Text Mining [Tutorial Page]
  Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022 (Tutorial)

• Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds [PDF] [Code]
  Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han.
  Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022

• Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators [PDF] [Code]
  Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song.
  International Conference on Learning Representations (ICLR), 2022

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

• Pre-Trained Language Representations for Text Mining [Tutorial Page]
  Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han.
  AAAI Conference on Artificial Intelligence (AAAI), 2022 (Tutorial)

• MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information [PDF] [Code]
  Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han.
  ACM International Conference on Web Search and Data Mining (WSDM), 2022

2021

• Automated Taxonomy Discovery and Exploration [Tutorial Page]
  Jiaming Shen, Xiaotao Gu, Yu Meng, Jiawei Han.
  IEEE International Conference on Data Mining (ICDM), 2021 (Tutorial)

• COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining [PDF] [Code] [Blog Post]
  Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song.
  Annual Conference on Neural Information Processing Systems (NeurIPS), 2021

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

• UCPhrase: Unsupervised Context-aware Quality Phrase Tagging [PDF] [Code]
  Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021

• On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining [Tutorial Page]
  Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021 (Tutorial)

• TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names [PDF] [Code]
  Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han.
  Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021

• Hierarchical Metadata-Aware Document Categorization under Weak Supervision [PDF] [Code]
  Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han.
  ACM International Conference on Web Search and Data Mining (WSDM), 2021

2020

• Text Classification Using Label Names Only: A Language Model Self-Training Approach [PDF] [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

• Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding [PDF] [Code]
  Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han.
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020

• Mining Text Outliers in Document Directories [PDF] [Code]
  Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han.
  IEEE International Conference on Data Mining (ICDM), 2020

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

• Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis [Tutorial Page]
  Yu Meng, Jiaxin Huang, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020 (Tutorial)

• Minimally Supervised Categorization of Text with Metadata [PDF] [Code]
  Yu Zhang*, Yu Meng*, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han.
  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020

• Discriminative Topic Mining via Category-Name Guided Text Embedding [PDF] [Video] [Code]
  Yu Meng*, Jiaxin Huang*, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han.
  The Web Conference (WWW), 2020

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

• Separate and Attend in Personal Email Search [PDF] [Google AI Page]
  Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler.
  ACM International Conference on Web Search and Data Mining (WSDM), 2020

• Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts [PDF]
  Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han.
  Frontiers in Big Data, 2020

2019 and Before

• Spherical Text Embedding [PDF] [Slides] [Poster] [Code]
  Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han.
  Annual Conference on Neural Information Processing Systems (NeurIPS), 2019

• TextCube: Automated Construction and Multidimensional Exploration [PDF] [Abstract]
  Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han.
  International Conference on Very Large Data Bases (VLDB), 2019 (Tutorial)

• TopicMine: User-Guided Topic Mining by Category-Oriented Embedding [PDF]
  Yu Meng*, Jiaxin Huang*, Zihan Wang, Chenyu Fan, Guangyuan Wang, Chao Zhang, Jingbo Shang, Lance Kaplan, Jiawei Han.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019 (Demo)

• HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories [PDF] [Code]
  Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han.
  IEEE International Conference on Data Mining (ICDM), 2019

• Weakly-Supervised Hierarchical Text Classification [PDF] [Code]
  Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han.
  AAAI Conference on Artificial Intelligence (AAAI), 2019

• Weakly-Supervised Neural Text Classification [PDF] [Code]
  Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han.
  ACM International Conference on Information and Knowledge Management (CIKM), 2018

• Verifying nonlinear analog and mixed-signal circuits with inputs [PDF]
  Chuchu Fan, Yu Meng, Jürgen Maier, Ezio Bartocci, Sayan Mitra, Ulrich Schmid.
  IFAC Conference on Analysis and Design of Hybrid Systems (ADHS), 2018