default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYu Meng 0001
孟瑜
Person information
- affiliation: University of Virginia, VA, USA
- affiliation (former): University of Illinois at Urbana-Champaign, IL, USA
- unicode name: 孟瑜
Other persons with the same name
- Yu Meng — disambiguation page
- Yu Meng 0002
![[0000-0002-0595-3439]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0595-3439")
— Chinese Academy of Sciences, Aerospace Information Research Institute, Institute of Remote Sensing and Digital Earth, Beijing, China - Yu Meng 0003 — University of North Carolina at Chapel Hill, NC, USA
- Yu Meng 0004 — Southern Methodist University, Dallas, TX, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c46]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: 163-184- [c45]Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han:
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. EMNLP 2024: 13462-13486 - [c44]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 - [c43]Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen:
Evaluating Large Language Models at Evaluating Instruction Following. ICLR 2024 - [i41]Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han:
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. CoRR abs/2402.11142 (2024) - [i40]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 abs/2404.07103 (2024) - [i39]Yu Meng, Mengzhou Xia, Danqi Chen:
SimPO: Simple Preference Optimization with a Reference-Free Reward. CoRR abs/2405.14734 (2024) - [i38]Sizhe Zhou, Sha Li, Yu Meng, Yizhu Jiao, Heng Ji, Jiawei Han:
Establishing Knowledge Preference in Language Models. CoRR abs/2407.13048 (2024) - 2023
- [c42]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: 7005-7020 - [c41]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: 11782-11805 - [c40]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: 12655-12670 - [c39]Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han:
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. ICLR 2023 - [c38]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: 24457-24477 - [c37]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: 3458-3469 - [c36]Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han:
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. KDD 2023: 5817-5818 - [c35]Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang:
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. NeurIPS 2023 - [c34]Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han:
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. WSDM 2023: 429-437 - [c33]Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han:
FineSum: Target-Oriented, Fine-Grained Opinion Summarization. WSDM 2023: 1093-1101 - [c32]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: 648-658 - [c31]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: 1626-1637 - [c30]Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han:
SCStory: Self-supervised and Continual Online Story Discovery. WWW 2023: 1853-1864 - [d3]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Scientific Literature Tagging. Zenodo, 2023
- [d2]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Graph Mining. Version 1. Zenodo, 2023 [all versions] - [d1]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Graph Mining. Version 2. Zenodo, 2023 [all versions] - [i37]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 abs/2302.02060 (2023) - [i36]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. CoRR abs/2302.03341 (2023) - [i35]Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han:
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. CoRR abs/2302.11050 (2023) - [i34]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 abs/2305.10703 (2023) - [i33]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han:
Patton: Language Model Pretraining on Text-Rich Networks. CoRR abs/2305.12268 (2023) - [i32]Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han:
PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training. CoRR abs/2305.13723 (2023) - [i31]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 abs/2306.14003 (2023) - [i30]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 abs/2306.15895 (2023) - [i29]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han:
Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder. CoRR abs/2310.06684 (2023) - [i28]Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen:
Evaluating Large Language Models at Evaluating Instruction Following. CoRR abs/2310.07641 (2023) - [i27]Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han:
SCStory: Self-supervised and Continual Online Story Discovery. CoRR abs/2312.03725 (2023) - 2022
- [c29]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 - [c28]Jiaxin Huang, Yu Meng, Jiawei Han:
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. KDD 2022: 605-614 - [c27]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Adapting Pretrained Representations for Text Mining. KDD 2022: 4806-4807 - [c26]Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. NAACL-HLT 2022: 279-290 - [c25]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. NeurIPS 2022 - [c24]Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han:
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. WSDM 2022: 1357-1367 - [c23]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. WWW 2022: 3143-3152 - [i26]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. CoRR abs/2202.04538 (2022) - [i25]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. CoRR abs/2202.04582 (2022) - [i24]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 abs/2204.03243 (2022) - [i23]Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. CoRR abs/2205.01845 (2022) - [i22]Jiaxin Huang, Yu Meng, Jiawei Han:
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. CoRR abs/2206.13746 (2022) - [i21]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 abs/2211.03044 (2022) - [i20]Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han:
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. CoRR abs/2212.06002 (2022) - 2021
- [c22]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: 10367-10378 - [c21]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. KDD 2021: 478-486 - [c20]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. KDD 2021: 4052-4053 - [c19]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: 4239-4249 - [c18]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: 23102-23114 - [c17]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: 1-12 - [c16]Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han:
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. WSDM 2021: 770-778 - [i19]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 abs/2102.08473 (2021) - [i18]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. CoRR abs/2105.14078 (2021) - [i17]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 abs/2109.05003 (2021) - [i16]Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han:
Fine-Grained Opinion Summarization with Minimal Supervision. CoRR abs/2110.08845 (2021) - [i15]Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han:
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. CoRR abs/2111.04022 (2021) - 2020
- [j2]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: 9 (2020) - [c15]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: 6989-6999 - [c14]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: 9006-9017 - [c13]Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han:
Mining Text Outliers in Document Directories. ICDM 2020: 152-161 - [c12]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han:
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. KDD 2020: 1908-1917 - [c11]Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han:
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. KDD 2020: 1928-1936 - [c10]Yu Meng, Jiaxin Huang, Jiawei Han:
Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. KDD 2020: 3573-3574 - [c9]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. SIGIR 2020: 1231-1240 - [c8]Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler:
Separate and Attend in Personal Email Search. WSDM 2020: 429-437 - [c7]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: 2121-2132 - [c6]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: 2188-2198 - [i14]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 abs/2001.10106 (2020) - [i13]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. CoRR abs/2005.00624 (2020) - [i12]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han:
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. CoRR abs/2007.09536 (2020) - [i11]Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han:
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. CoRR abs/2010.06705 (2020) - [i10]Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han:
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. CoRR abs/2010.06714 (2020) - [i9]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 abs/2010.07245 (2020) - [i8]Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han:
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. CoRR abs/2010.13556 (2020)
2010 – 2019
- 2019
- [j1]Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han:
TextCube: Automated Construction and Multidimensional Exploration. Proc. VLDB Endow. 12(12): 1974-1977 (2019) - [c5]Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Hierarchical Text Classification. AAAI 2019: 6826-6833 - [c4]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: 876-885 - [c3]Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. NeurIPS 2019: 8206-8215 - [i7]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
CatE: Category-Name GuidedWord Embedding. CoRR abs/1908.07162 (2019) - [i6]Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han:
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. CoRR abs/1910.07115 (2019) - [i5]Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. CoRR abs/1911.01196 (2019) - [i4]Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler:
Separate and Attend in Personal Email Search. CoRR abs/1911.09732 (2019) - 2018
- [c2]Chuchu Fan, Yu Meng, Jürgen Maier, Ezio Bartocci, Sayan Mitra, Ulrich Schmid:
Verifying nonlinear analog and mixed-signal circuits with inputs. ADHS 2018: 241-246 - [c1]Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Neural Text Classification. CIKM 2018: 983-992 - [i3]Chuchu Fan, Yu Meng, Jürgen Maier, Ezio Bartocci, Sayan Mitra, Ulrich Schmid:
Verifying nonlinear analog and mixed-signal circuits with inputs. CoRR abs/1803.02975 (2018) - [i2]Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Neural Text Classification. CoRR abs/1809.01478 (2018) - [i1]Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Hierarchical Text Classification. CoRR abs/1812.11270 (2018)
Coauthor Index
[c46] [c45] [c44] [i41] [i40] [i38] [c42] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [d3] [d2] [d1] [i37] [i36] [i35] [i33] [i32] [i31] [i29] [i27] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i19] [i18] [i17] [i16] [i15] [j2] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c7] [c6] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [j1] [c5] [c4] [c3] [i7] [i6] [i5] [c1] [i2] [i1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-12 22:00 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
