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Yu Zhang
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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
362*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
3232019
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Y Meng, J Huang, Y Zhang, J Han
NeurIPS 2022, 2022
2152022
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
882020
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
782020
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
762022
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
752021
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
722023
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning
M Qu, X Ren, Y Zhang, J Han
WWW 2018, 1257-1266, 2018
712018
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
582019
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
502023
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
47*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
422021
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
382024
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
382022
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
362018
Minimally Supervised Categorization of Text with Metadata
Y Zhang, Y Meng, J Huang, FF Xu, X Wang, J Han
SIGIR 2020, 1231-1240, 2020
332020
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
332019
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
B Jin, Y Zhang, Y Meng, J Han
ICLR 2023, 2023
322023
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
312020
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