Yu Zhang

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Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
Yu MengUniversity of VirginiaVerified email at virginia.edu
Jiaxin HuangWashington University in St. LouisVerified email at wustl.edu
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaVerified email at usc.edu
Carl J. YangAssistant Professor of Computer Science at Emory UniversityVerified email at emory.edu
Jingbo ShangAssociate Professor, UC San DiegoVerified email at ucsd.edu
Xiusi ChenPostdoctoral Fellow, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Yizhou SunProfessor, Computer Science, UCLAVerified email at cs.ucla.edu
Chao ZhangAssistant Professor at College of Computing, Georgia TechVerified email at gatech.edu
Marinka ZitnikAssistant Professor, Harvard UniversityVerified email at hms.harvard.edu
Curtis P. LanglotzProfessor of Radiology, Medicine, and Biomedical Data Science, Stanford UniversityVerified email at stanford.edu
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarVerified email at illinois.edu
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
Sheng WangAssistant Professor at University of WashingtonVerified email at uw.edu
Yuxiao DongCS, Tsinghua UniversityVerified email at tsinghua.edu.cn
ChengXiang ZhaiUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu

Yu Zhang

Texas A&M University

Verified email at tamu.edu - Homepage

Data Mining Natural Language Processing AI4Science


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Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark C Yang, Y Xiao, Y Zhang*, Y Sun, J Han IEEE TKDE 34 (10), 4854-4873, 2022	361*	2022
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning X Wang, Y Zhang, X Ren, Y Zhang, M Zitnik, J Shang, C Langlotz, J Han Bioinformatics 35 (10), 1745-1752, 2019	325	2019
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding Y Meng, J Huang, Y Zhang, J Han NeurIPS 2022, 2022	212	2022
Discriminative Topic Mining via Category-Name Guided Text Embedding Y Meng, J Huang, G Wang, Z Wang, C Zhang, Y Zhang, J Han WWW 2020, 2121-2132, 2020	85	2020
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding Y Meng, Y Zhang, J Huang, Y Zhang, C Zhang, J Han KDD 2020, 1908-1917, 2020	77	2020
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training Y Meng, Y Zhang, J Huang, X Wang, Y Zhang, H Ji, J Han EMNLP 2021, 10367–10378, 2021	75	2021
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations Y Meng, Y Zhang, J Huang, Y Zhang, J Han WWW 2022, 3143-3152, 2022	72	2022
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning M Qu, X Ren, Y Zhang, J Han WWW 2018, 1257-1266, 2018	71	2018
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Y Meng, M Michalski, J Huang, Y Zhang, T Abdelzaher, J Han ICML 2023, 24457-24477, 2023	68	2023
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories Y Zhang, FF Xu, S Li, Y Meng, X Wang, Q Li, J Han ICDM 2019, 876-885, 2019	58	2019
Patton: Language Model Pretraining on Text-Rich Networks B Jin, W Zhang, Y Zhang, Y Meng, X Zhang, Q Zhu, J Han ACL 2023, 7005-7020, 2023	43	2023
MATCH: Metadata-Aware Text Classification in A Large Hierarchy Y Zhang, Z Shen, Y Dong, K Wang, J Han WWW 2021, 3246-3257, 2021	43	2021
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks B Jin, Y Zhang, Q Zhu, J Han KDD 2023, 1020-1031, 2023	39*	2023
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification Y Zhang, Z Shen, CH Wu, B Xie, J Hao, YY Wang, K Wang, J Han WWW 2022, 3162-3173, 2022	37	2022
Open Information Extraction with Meta-pattern Discovery in Biomedical Literature X Wang, Y Zhang, Q Li, Y Chen, J Han ACM BCB 2018, 291-300, 2018	36	2018
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion X Wang, Y Zhang, Q Li, X Ren, J Shang, J Han BIBM 2019, 496-503, 2019	34	2019
Minimally Supervised Categorization of Text with Metadata Y Zhang, Y Meng, J Huang, FF Xu, X Wang, J Han SIGIR 2020, 1231-1240, 2020	33	2020
Multiscale Online Media Simulation with SocialCube T Abdelzaher, J Han, Y Hao, A Jing, D Liu, S Liu, HH Nguyen, DM Nicol, ... Computational and Mathematical Organization Theory 26 (2), 145-174, 2020	31	2020
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks B Jin, Y Zhang, Y Meng, J Han ICLR 2023, 2023	28	2023
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs B Jin, C Xie, J Zhang, KK Roy, Y Zhang, S Wang, Y Meng, J Han ACL 2024 Findings, 163–184, 2024	25	2024

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