Yu Meng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 79

Top Topics

Text Classification

Weakly Supervised

Top Venues

Publications

Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang, Yu Meng, Jiawei Han
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. CoRR (2024)
Yu Meng, Mengzhou Xia, Danqi Chen
SimPO: Simple Preference Optimization with a Reference-Free Reward. CoRR (2024)
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen
Evaluating Large Language Models at Evaluating Instruction Following. ICLR (2024)
Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. CoRR (2024)
Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) (2024)
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
Representation Deficiency in Masked Language Modeling. ICLR (2024)
Sizhe Zhou, Sha Li, Yu Meng, Yizhu Jiao, Heng Ji, Jiawei Han
Establishing Knowledge Preference in Language Models. CoRR (2024)
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
Representation Deficiency in Masked Language Modeling. CoRR (2023)
Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. ICML (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. ICLR (2023)
Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han
FineSum: Target-Oriented, Fine-Grained Opinion Summarization. WSDM (2023)
Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training. EMNLP (2023)
Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. WWW (2023)
Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han
SCStory: Self-supervised and Continual Online Story Discovery. CoRR (2023)
Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. KDD (2023)
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han
Patton: Language Model Pretraining on Text-Rich Networks. ACL (1) (2023)
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. CoRR (2023)
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. ACL (Findings) (2023)
Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. CoRR (2023)
Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. KDD (2023)
Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han
SCStory: Self-supervised and Continual Online Story Discovery. WWW (2023)
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. CoRR (2023)
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han
Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder. CoRR (2023)
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. CoRR (2022)
Jiaxin Huang, Yu Meng, Jiawei Han
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. CoRR (2022)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. WWW (2022)
Jiaxin Huang, Yu Meng, Jiawei Han
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. KDD (2022)
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. CoRR (2022)
Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. CoRR (2022)
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
Adapting Pretrained Representations for Text Mining. KDD (2022)
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. ICLR (2022)
Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. NAACL-HLT (2022)
Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. CoRR (2022)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. CoRR (2022)
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. WSDM (2022)
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. NeurIPS (2021)
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. KDD (2021)
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. CoRR (2021)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. EMNLP (1) (2021)
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. CoRR (2021)
Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. CoRR (2021)
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. WSDM (2021)
Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. NAACL-HLT (2021)
Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. KDD (2021)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. CoRR (2021)
Huajie Shao, Tarek F. Abdelzaher, Jiawei Han, Minhao Jiang, Yuning Mao, Yu Meng, Wenda Qiu, Dachun Sun, Ruijie Wang, Chaoqi Yang, Zhenzhou Yang, Xinyang Zhang, Yu Zhang, Sam Cohen, James Flamino, György Korniss, Omar Malik, Aamir Mandviwalla, Boleslaw K. Szymanski, Lake Yin
Simulating Online Social Response: A Stimulus/Response Perspective. WSC (2021)
Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han
Fine-Grained Opinion Summarization with Minimal Supervision. CoRR (2021)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. KDD (2020)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han
Text Classification Using Label Names Only: A Language Model Self-Training Approach. CoRR (2020)
Yu Meng, Jiaxin Huang, Jiawei Han
Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. KDD (2020)
Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han
Mining Text Outliers in Document Directories. ICDM (2020)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han
Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts. Frontiers Big Data 3 (2020)
Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. CoRR (2020)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han
Text Classification Using Label Names Only: A Language Model Self-Training Approach. EMNLP (1) (2020)
Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. CoRR (2020)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. CoRR (2020)
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
Separate and Attend in Personal Email Search. WSDM (2020)
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
Minimally Supervised Categorization of Text with Metadata. CoRR (2020)
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. CoRR (2020)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han
Discriminative Topic Mining via Category-Name Guided Text Embedding. WWW (2020)
Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. KDD (2020)
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
Minimally Supervised Categorization of Text with Metadata. SIGIR (2020)
Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. CoRR (2020)
Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. EMNLP (1) (2020)
Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. WWW (2020)
Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. ICDM (2019)
Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. CoRR (2019)
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
Separate and Attend in Personal Email Search. CoRR (2019)
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
Weakly-Supervised Hierarchical Text Classification. AAAI (2019)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
Spherical Text Embedding. CoRR (2019)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han
CatE: Category-Name GuidedWord Embedding. CoRR (2019)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
Spherical Text Embedding. NeurIPS (2019)
Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han
TextCube: Automated Construction and Multidimensional Exploration. Proc. VLDB Endow. 12 (12) (2019)
Chuchu Fan, Yu Meng, Jürgen Maier, Ezio Bartocci, Sayan Mitra, Ulrich Schmid
Verifying nonlinear analog and mixed-signal circuits with inputs. CoRR (2018)
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
Weakly-Supervised Hierarchical Text Classification. CoRR (2018)
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
Weakly-Supervised Neural Text Classification. CoRR (2018)
Chuchu Fan, Yu Meng, Jürgen Maier, Ezio Bartocci, Sayan Mitra, Ulrich Schmid
Verifying nonlinear analog and mixed-signal circuits with inputs. ADHS (2018)
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
Weakly-Supervised Neural Text Classification. CIKM (2018)