Yu Meng

106 papers A* 35A 6Misc 1Journal 53Unranked 11
YearRankTypeTitle / Venue / Authors
2026 A* conf
Towards Aligned and Efficient Large Language Models.
AAAI
Yu Meng
2025 A* conf
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism.
ICML
Zhepei Wei, Wei-Lin Chen, Xinyu Zhu, Yu Meng
2025 J jnl
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism.
CoRR
Zhepei Wei, Wei-Lin Chen, Xinyu Zhu, Yu Meng
2025 J jnl
Aligning Large Language Models via Fully Self-Synthetic Data.
CoRR
Shangjian Yin, Zhepei Wei, Xinyu Zhu, Wei-Lin Chen, Yu Meng
2025 J jnl
Do LLM Evaluators Prefer Themselves for a Reason?
CoRR
Wei-Lin Chen, Zhepei Wei, Xinyu Zhu, Shi Feng, Yu Meng
2025 A* conf
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales.
ICLR
Zhepei Wei, Wei-Lin Chen, Yu Meng
2025 A* conf
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective.
ICML
Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik
2025 J jnl
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective.
CoRR
Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik
2025 J jnl
RAST: Reasoning Activation in LLMs via Small-model Transfer.
CoRR
Siru Ouyang, Xinyu Zhu, Zilin Xiao, Minhao Jiang, Yu Meng, Jiawei Han
2025 J jnl
The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning.
CoRR
Xinyu Zhu, Mengzhou Xia, Zhepei Wei, Wei-Lin Chen, Danqi Chen, Yu Meng
2025 J jnl
TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning.
CoRR
Zhepei Wei, Xiao Yang, Kai Sun, Jiaqi Wang, Rulin Shao, Sean Chen, Mohammad Kachuee, Teja Gollapudi, Tony Liao, Nicolas Scheffer, Rakesh Wanga, Anuj Kumar, Yu Meng, Wen-tau Yih, Xin Luna Dong
2024 J jnl
Establishing Knowledge Preference in Language Models.
CoRR
Sizhe Zhou, Sha Li, Yu Meng, Yizhu Jiao, Heng Ji, Jiawei Han
2024 A* conf
Evaluating Large Language Models at Evaluating Instruction Following.
ICLR
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen
2024 — conf
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
ACL (Findings)
Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
2024 J jnl
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
CoRR
Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang, Yu Meng, Jiawei Han
2024 A* conf
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction.
EMNLP
Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han
2024 J jnl
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction.
CoRR
Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han
2024 J jnl
InstructRAG: Instructing Retrieval-Augmented Generation with Explicit Denoising.
CoRR
Zhepei Wei, Wei-Lin Chen, Yu Meng
2024 A* conf
Representation Deficiency in Masked Language Modeling.
ICLR
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
2024 A* conf
SimPO: Simple Preference Optimization with a Reference-Free Reward.
NeurIPS
Yu Meng, Mengzhou Xia, Danqi Chen
2024 J jnl
SimPO: Simple Preference Optimization with a Reference-Free Reward.
CoRR
Yu Meng, Mengzhou Xia, Danqi Chen
2024 — conf
Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization.
EMNLP (Findings)
Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, Wei-Lin Chen, Chao-Wei Huang, Yu Meng, Yun-Nung Chen
2024 J jnl
Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization.
CoRR
Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, Wei-Lin Chen, Chao-Wei Huang, Yu Meng, Yun-Nung Chen
2024 A* conf
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast.
NeurIPS
Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng
2024 J jnl
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast.
CoRR
Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng
2023 A* conf
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks.
ICLR
Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han
2023 J jnl
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks.
CoRR
Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han
2023 A conf
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts.
WSDM
Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han
2023 J jnl
Evaluating Large Language Models at Evaluating Instruction Following.
CoRR
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen
2023 A conf
FineSum: Target-Oriented, Fine-Grained Opinion Summarization.
WSDM
Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han
2023 A* conf
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.
NeurIPS
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
2023 J jnl
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.
CoRR
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
2023 J jnl
Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder.
CoRR
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han
2023 A* conf
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training.
EMNLP
Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han
2023 — conf
Patton: Language Model Pretraining on Text-Rich Networks.
ACL (1)
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han
2023 J jnl
Patton: Language Model Pretraining on Text-Rich Networks.
CoRR
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han
2023 A* conf
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective.
KDD
Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han
2023 J jnl
PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training.
CoRR
Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han
2023 — conf
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval.
ACL (Findings)
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
2023 J jnl
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval.
CoRR
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
2023 J jnl
Representation Deficiency in Masked Language Modeling.
CoRR
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
2023 A* conf
SCStory: Self-supervised and Continual Online Story Discovery.
WWW
Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han
2023 J jnl
SCStory: Self-supervised and Continual Online Story Discovery.
CoRR
Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han
2023 A* conf
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study.
WWW
Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han
2023 J jnl
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study.
CoRR
Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han
2023 A* conf
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning.
ICML
Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
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 R. 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
2023 A* conf
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers.
KDD
Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han
2023 J jnl
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers.
CoRR
Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han
2022 A* conf
Adapting Pretrained Representations for Text Mining.
KDD
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts.
CoRR
Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han
2022 A* conf
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation.
KDD
Jiaxin Huang, Yu Meng, Jiawei Han
2022 J jnl
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation.
CoRR
Jiaxin Huang, Yu Meng, Jiawei Han
2022 A* conf
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
NeurIPS
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
CoRR
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 A conf
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information.
WSDM
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
2022 A* conf
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators.
ICLR
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song
2022 J jnl
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators.
CoRR
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
2022 — conf
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds.
NAACL-HLT
Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han
2022 J jnl
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds.
CoRR
Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han
2022 A* conf
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations.
WWW
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations.
CoRR
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning.
CoRR
Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han
2021 A* conf
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining.
NeurIPS
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
2021 J jnl
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining.
CoRR
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
2021 — conf
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training.
EMNLP (1)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han
2021 J jnl
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training.
CoRR
Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han
2021 J jnl
Fine-Grained Opinion Summarization with Minimal Supervision.
CoRR
Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han
2021 A conf
Hierarchical Metadata-Aware Document Categorization under Weak Supervision.
WSDM
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
2021 J jnl
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information.
CoRR
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
2021 A* conf
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining.
KDD
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2021 Misc conf
Simulating Online Social Response: A Stimulus/Response Perspective.
WSC
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
2021 — conf
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names.
NAACL-HLT
Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han
2021 A* conf
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging.
KDD
Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang
2021 J jnl
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging.
CoRR
Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang
2020 A* conf
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring.
KDD
Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han
2020 J jnl
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring.
CoRR
Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han
2020 A* conf
Discriminative Topic Mining via Category-Name Guided Text Embedding.
WWW
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han
2020 A* conf
Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis.
KDD
Yu Meng, Jiaxin Huang, Jiawei Han
2020 A* conf
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion.
WWW
Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
2020 J jnl
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion.
CoRR
Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
2020 J jnl
Hierarchical Metadata-Aware Document Categorization under Weak Supervision.
CoRR
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
2020 A* conf
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding.
KDD
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
2020 J jnl
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding.
CoRR
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
2020 A* conf
Minimally Supervised Categorization of Text with Metadata.
SIGIR
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
2020 J jnl
Minimally Supervised Categorization of Text with Metadata.
CoRR
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
2020 A* conf
Mining Text Outliers in Document Directories.
ICDM
Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han
2020 A conf
Separate and Attend in Personal Email Search.
WSDM
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
2020 — conf
Text Classification Using Label Names Only: A Language Model Self-Training Approach.
EMNLP (1)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han
2020 J jnl
Text Classification Using Label Names Only: A Language Model Self-Training Approach.
CoRR
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han
2020 J jnl
Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts.
Frontiers Big Data
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han
2020 — conf
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding.
EMNLP (1)
Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han
2020 J jnl
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding.
CoRR
Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han
2019 J jnl
CatE: Category-Name GuidedWord Embedding.
CoRR
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han
2019 A* conf
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories.
ICDM
Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
2019 J jnl
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories.
CoRR
Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
2019 J jnl
Separate and Attend in Personal Email Search.
CoRR
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
2019 A* conf
Spherical Text Embedding.
NeurIPS
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
2019 J jnl
Spherical Text Embedding.
CoRR
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
2019 J jnl
TextCube: Automated Construction and Multidimensional Exploration.
Proc. VLDB Endow.
Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han
2019 A* conf
Weakly-Supervised Hierarchical Text Classification.
AAAI
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
2018 — conf
Verifying nonlinear analog and mixed-signal circuits with inputs.
ADHS
Chuchu Fan, Yu Meng, Jürgen Maier, Ezio Bartocci, Sayan Mitra, Ulrich Schmid
2018 J jnl
Verifying nonlinear analog and mixed-signal circuits with inputs.
CoRR
Chuchu Fan, Yu Meng, Jürgen Maier, Ezio Bartocci, Sayan Mitra, Ulrich Schmid
2018 J jnl
Weakly-Supervised Hierarchical Text Classification.
CoRR
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
2018 A conf
Weakly-Supervised Neural Text Classification.
CIKM
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han
2018 J jnl
Weakly-Supervised Neural Text Classification.
CoRR
Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han