| 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 | 299 | 2019 |
| 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 | 297* | 2022 |
| Generating Training Data with Language Models: Towards Zero-Shot Language Understanding Y Meng, J Huang, Y Zhang, J Han NeurIPS 2022, 2022 | 144 | 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 | 78 | 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 | 69 | 2021 |
| Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning M Qu, X Ren, Y Zhang, J Han WWW 2018, 1257-1266, 2018 | 67 | 2018 |
| 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 | 63 | 2020 |
| 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 | 59 | 2022 |
| 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 | 49 | 2019 |
| 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 | 36 | 2023 |
| 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 | 34 | 2018 |
| 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 | 32 | 2022 |
| Minimally Supervised Categorization of Text with Metadata Y Zhang, Y Meng, J Huang, FF Xu, X Wang, J Han SIGIR 2020, 1231-1240, 2020 | 32 | 2020 |
| MATCH: Metadata-Aware Text Classification in A Large Hierarchy Y Zhang, Z Shen, Y Dong, K Wang, J Han WWW 2021, 3246-3257, 2021 | 31 | 2021 |
| 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 | 31 | 2019 |
| 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 | 30 | 2020 |
| 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 | 29 | 2023 |
| 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 | 23* | 2023 |
| Hierarchical Metadata-Aware Document Categorization under Weak Supervision Y Zhang, X Chen, Y Meng, J Han WSDM 2021, 770–778, 2021 | 22 | 2021 |
| The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study Y Zhang, B Jin, Q Zhu, Y Meng, J Han WWW 2023, 1626–1637, 2023 | 20 | 2023 |
Jiawei HanAbel Bliss Professor of Computer Science, University of Illinois在 cs.uiuc.edu 的电子邮件经过验证
