Verifying nonlinear analog and mixed-signal circuits with inputs. - Chuchu Fan; Yu Meng 001; Jürgen Maier 002; Ezio Bartocci; Sayan Mitra; Ulrich Schmid 001 (ADHS, 2018)

Weakly-Supervised Neural Text Classification. - Yu Meng 001; Jiaming Shen; Chao Zhang 014; Jiawei Han 001 (CIKM, 2018)

Weakly-Supervised Hierarchical Text Classification. - Yu Meng 001; Jiaming Shen; Chao Zhang 014; Jiawei Han 001 (AAAI, 2019)

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. - Yu Zhang 044; Frank F. Xu; Sha Li; Yu Meng 001; Xuan Wang 008; Qi Li 012; Jiawei Han 001 (ICDM, 2019)

Spherical Text Embedding. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Chao Zhang 014; Honglei Zhuang; Lance M. Kaplan; Jiawei Han 001 (NeurIPS, 2019)

CatE: Category-Name GuidedWord Embedding. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Zihan Wang 001; Chao Zhang 014; Jiawei Han 001 (CoRR, 2019)

TextCube: Automated Construction and Multidimensional Exploration. - Yu Meng 001; Jiaxin Huang 001; Jingbo Shang; Jiawei Han 001 (Proc. VLDB Endow., 2019)

Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. - Jiaxin Huang 001; Yu Meng 001; Fang Guo; Heng Ji 001; Jiawei Han 001 (EMNLP (1), 2020)

Text Classification Using Label Names Only: A Language Model Self-Training Approach. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Chenyan Xiong; Heng Ji 001; Chao Zhang 014; Jiawei Han 001 (EMNLP (1), 2020)

Mining Text Outliers in Document Directories. - Edouard Fouché; Yu Meng 001; Fang Guo; Honglei Zhuang; Klemens Böhm; Jiawei Han 001 (ICDM, 2020)

CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. - Jiaxin Huang 001; Yiqing Xie; Yu Meng 001; Yunyi Zhang 001; Jiawei Han 001 (KDD, 2020)

Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. - Yu Meng 001; Jiaxin Huang 001; Jiawei Han 001 (KDD, 2020)

Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Yu Zhang 044; Chao Zhang 014; Jiawei Han 001 (KDD, 2020)

Minimally Supervised Categorization of Text with Metadata. - Yu Zhang 044; Yu Meng 001; Jiaxin Huang 001; Frank F. Xu; Xuan Wang 008; Jiawei Han 001 (SIGIR, 2020)

Separate and Attend in Personal Email Search. - Yu Meng 001; Maryam Karimzadehgan; Honglei Zhuang; Donald Metzler (WSDM, 2020)

Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. - Jiaxin Huang 001; Yiqing Xie; Yu Meng 001; Jiaming Shen; Yunyi Zhang 001; Jiawei Han 001 (WWW, 2020)

Discriminative Topic Mining via Category-Name Guided Text Embedding. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Zihan Wang 001; Chao Zhang 014; Yu Zhang 044; Jiawei Han 001 (WWW, 2020)

Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Zihan Wang 001; Chao Zhang 014; Jiawei Han 001 (Frontiers Big Data, 2020)

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Xuan Wang 008; Yu Zhang 044; Heng Ji 001; Jiawei Han 001 (EMNLP (1), 2021)

On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (KDD, 2021)

UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. - Xiaotao Gu; Zihan Wang 001; Zhenyu Bi; Yu Meng 001; Liyuan Liu; Jiawei Han 001; Jingbo Shang (KDD, 2021)

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. - Jiaming Shen; Wenda Qiu; Yu Meng 001; Jingbo Shang; Xiang Ren 001; Jiawei Han 001 (NAACL-HLT, 2021)

COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. - Yu Meng 001; Chenyan Xiong; Payal Bajaj; Saurabh Tiwary; Paul Bennett 001; Jiawei Han 001; Xia Song (NeurIPS, 2021)

Simulating Online Social Response: A Stimulus/Response Perspective. - Huajie Shao; Tarek F. Abdelzaher; Jiawei Han 001; Minhao Jiang; Yuning Mao; Yu Meng 001; Wenda Qiu; Dachun Sun; Ruijie Wang 004; Chaoqi Yang; Zhenzhou Yang; Xinyang Zhang 002; et al. (WSC, 2021)

Hierarchical Metadata-Aware Document Categorization under Weak Supervision. - Yu Zhang 044; Xiusi Chen; Yu Meng 001; Jiawei Han 001 (WSDM, 2021)

Fine-Grained Opinion Summarization with Minimal Supervision. - Suyu Ge; Jiaxin Huang 001; Yu Meng 001; Sharon Wang; Jiawei Han 001 (CoRR, 2021)

Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. - Yu Meng 001; Chenyan Xiong; Payal Bajaj; Saurabh Tiwary; Paul N. Bennett; Jiawei Han 001; Xia Song (ICLR, 2022)

Adapting Pretrained Representations for Text Mining. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (KDD, 2022)

Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. - Jiaxin Huang 001; Yu Meng 001; Jiawei Han 001 (KDD, 2022)

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. - Yu Zhang 044; Yu Meng 001; Xuan Wang 008; Sheng Wang 012; Jiawei Han 001 (NAACL-HLT, 2022)

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (NeurIPS, 2022)

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. - Yu Zhang 044; Shweta Garg 004; Yu Meng 001; Xiusi Chen; Jiawei Han 001 (WSDM, 2022)

Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (WWW, 2022)

Patton: Language Model Pretraining on Text-Rich Networks. - Bowen Jin; Wentao Zhang; Yu Zhang 044; Yu Meng 001; Xinyang Zhang 002; Qi Zhu 008; Jiawei Han 001 (ACL (1), 2023)

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. - Yue Yu 001; Yuchen Zhuang; Rongzhi Zhang; Yu Meng 001; Jiaming Shen; Chao Zhang 014 (ACL (Findings), 2023)

PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training. - Yunyi Zhang 001; Minhao Jiang; Yu Meng 001; Yu Zhang 044; Jiawei Han 001 (EMNLP, 2023)

Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. - Bowen Jin; Yu Zhang 044; Yu Meng 001; Jiawei Han 001 (ICLR, 2023)

Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. - Yu Meng 001; Martin Michalski; Jiaxin Huang 001; Yu Zhang 044; Tarek F. Abdelzaher; Jiawei Han 001 (ICML, 2023)

Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Yunyi Zhang 001; Jiawei Han 001 (KDD, 2023)

Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. - Yu Zhang 044; Bowen Jin; Xiusi Chen; Yanzhen Shen; Yunyi Zhang 001; Yu Meng 001; Jiawei Han 001 (KDD, 2023)

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. - Yue Yu 001; Yuchen Zhuang; Jieyu Zhang 001; Yu Meng 001; Alexander J. Ratner; Ranjay Krishna; Jiaming Shen; Chao Zhang 014 (NeurIPS, 2023)

FineSum: Target-Oriented, Fine-Grained Opinion Summarization. - Suyu Ge; Jiaxin Huang 001; Yu Meng 001; Jiawei Han 001 (WSDM, 2023)

Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. - Yu Zhang 044; Yunyi Zhang 001; Martin Michalski; Yucheng Jiang; Yu Meng 001; Jiawei Han 001 (WSDM, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

SCStory: Self-supervised and Continual Online Story Discovery. - Susik Yoon; Yu Meng 001; Dongha Lee 003; Jiawei Han 001 (WWW, 2023)

The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (WWW, 2023)

PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training. - Yunyi Zhang 001; Minhao Jiang; Yu Meng 001; Yu Zhang 044; Jiawei Han 001 (CoRR, 2023)

Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder. - Bowen Jin; Wentao Zhang; Yu Zhang 044; Yu Meng 001; Han Zhao 002; Jiawei Han 001 (CoRR, 2023)

The MAPLE Benchmark for Scientific Literature Tagging. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (Zenodo, 2023)

The MAPLE Benchmark for Graph Mining. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (Zenodo, 2023)

The MAPLE Benchmark for Graph Mining. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (Zenodo, 2023)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Bowen Jin; Chulin Xie; Jiawei Zhang 001; Kashob Kumar Roy; Yu Zhang 044; Zheng Li 018; Ruirui Li 002; Xianfeng Tang; Suhang Wang; Yu Meng 001; Jiawei Han 001 (ACL (Findings), 2024)

Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization. - Yu-Min Tseng; Yu-Chao Huang; Teng-Yun Hsiao; Wei-Lin Chen; Chao-Wei Huang; Yu Meng 001; Yun-Nung Chen (EMNLP (Findings), 2024)

Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. - Sizhe Zhou; Yu Meng 001; Bowen Jin; Jiawei Han 001 (EMNLP, 2024)

Representation Deficiency in Masked Language Modeling. - Yu Meng 001; Jitin Krishnan; Sinong Wang; Qifan Wang 001; Yuning Mao; Han Fang; Marjan Ghazvininejad; Jiawei Han 001; Luke Zettlemoyer (ICLR, 2024)

Evaluating Large Language Models at Evaluating Instruction Following. - Zhiyuan Zeng; Jiatong Yu; Tianyu Gao 001; Yu Meng 001; Tanya Goyal; Danqi Chen 001 (ICLR, 2024)

SimPO: Simple Preference Optimization with a Reference-Free Reward. - Yu Meng 001; Mengzhou Xia; Danqi Chen 001 (NeurIPS, 2024)

Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast. - Chufan Shi; Cheng Yang 002; Xinyu Zhu; Jiahao Wang; Taiqiang Wu; Siheng Li; Deng Cai 002; Yujiu Yang; Yu Meng 001 (NeurIPS, 2024)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Bowen Jin; Chulin Xie; Jiawei Zhang 001; Kashob Kumar Roy; Yu Zhang 044; Suhang Wang; Yu Meng 001; Jiawei Han 001 (CoRR, 2024)

InstructRAG: Instructing Retrieval-Augmented Generation with Explicit Denoising. - Zhepei Wei; Wei-Lin Chen; Yu Meng 001 (CoRR, 2024)

Establishing Knowledge Preference in Language Models. - Sizhe Zhou; Sha Li; Yu Meng 001; Yizhu Jiao; Heng Ji 001; Jiawei Han 001 (CoRR, 2024)

InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales. - Zhepei Wei; Wei-Lin Chen; Yu Meng 001 (ICLR, 2025)

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. - Bowen Jin; Jinsung Yoon; Zhen Qin 001; Ziqi Wang 003; Wei Xiong 015; Yu Meng 001; Jiawei Han 001; Sercan Ö. Arik (CoRR, 2025)

Do LLM Evaluators Prefer Themselves for a Reason? - Wei-Lin Chen; Zhepei Wei; Xinyu Zhu; Shi Feng; Yu Meng 001 (CoRR, 2025)

The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning. - Xinyu Zhu; Mengzhou Xia; Zhepei Wei; Wei-Lin Chen; Danqi Chen 001; Yu Meng 001 (CoRR, 2025)

AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism. - Zhepei Wei; Wei-Lin Chen; Xinyu Zhu; Yu Meng 001 (CoRR, 2025)

RAST: Reasoning Activation in LLMs via Small-model Transfer. - Siru Ouyang; Xinyu Zhu; Zilin Xiao; Minhao Jiang; Yu Meng 001; Jiawei Han 001 (CoRR, 2025)