Yu Zhang

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 61

Top Topics

Open Information Extraction

Topic Discovery

Top Venues

Publications

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)
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)
Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. ICLR (2023)
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)
Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. KDD (2023)
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)
Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
Chain-of-Skills: A Configurable Model for Open-Domain Question Answering. ACL (1) (2023)
Yu Zhang, Yanzhen Shen, Xiusi Chen, Bowen Jin, Jiawei Han
"Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching. CoRR (2023)
Yu Zhang, Yunyi Zhang, Jiawei Han
Mining Structures from Massive Texts by Exploring the Power of Pre-trained Language Models. EDBT (2023)
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 (2023)
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)
Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. KDD (2023)
Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. SDM (2023)
Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. EMNLP (Findings) (2023)
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han
Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder. CoRR (2023)
Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han
Ontology Enrichment for Effective Fine-grained Entity Typing. CoRR (2023)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. WWW (2022)
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. CoRR (2022)
Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. CoRR (2022)
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
Adapting Pretrained Representations for Text Mining. KDD (2022)
Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. NAACL-HLT (2022)
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. WSDM (2022)
Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. WWW (2022)
Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han
Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks. CoRR (2022)
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. KDD (2021)
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. CoRR (2021)
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)
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. WSDM (2021)
Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. WWW (2021)
Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. CoRR (2021)
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 (2021)
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)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. KDD (2020)
Shi Zhi, Liyuan Liu, Yu Zhang, Shiyin Wang, Qi Li, Chao Zhang, Jiawei Han
Partially-Typed NER Datasets Integration: Connecting Practice to Theory. CoRR (2020)
Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. CoRR (2020)
Xuan Wang, Yu Zhang, Aabhas Chauhan, Qi Li, Jiawei Han
Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding. IEEE BigData (2020)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. CoRR (2020)
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
Minimally Supervised Categorization of Text with Metadata. CoRR (2020)
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. CoRR (2020)
Xuan Wang, Yingjun Guan, Yu Zhang, Qi Li, Jiawei Han
Pattern-enhanced Named Entity Recognition with Distant Supervision. IEEE BigData (2020)
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)
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
Minimally Supervised Categorization of Text with Metadata. SIGIR (2020)
Tarek F. Abdelzaher, Jiawei Han, Yifan Hao, Andong Jing, Dongxin Liu, Shengzhong Liu, Hoang Hai Nguyen, David M. Nicol, Huajie Shao, Tianshi Wang, Shuochao Yao, Yu Zhang, Omar Malik, Stephen Dipple, James Flamino, Fred Buchanan, Sam Cohen, György Korniss, Boleslaw K. Szymanski
Multiscale online media simulation with SocialCube. Comput. Math. Organ. Theory 26 (2) (2020)
Yu Zhang
Diversifying Seeds and Audience in Social Influence Maximization. CoRR (2019)
Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, Jiawei Han
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. BIBM (2019)
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)
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han
Cross-type biomedical named entity recognition with deep multi-task learning. Bioinform. 35 (10) (2019)
Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. CoRR (2019)
Yu Zhang
Diversifying seeds and audience in social influence maximization. ASONAM (2019)
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han
Integrating Local Context and Global Cohesiveness for Open Information Extraction. WSDM (2019)
Qi Li, Xuan Wang, Yu Zhang, Fei Ling, Cathy H. Wu, Jiawei Han
Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature. BIBM (2018)
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
Open Information Extraction with Global Structure Constraints. WWW (Companion Volume) (2018)
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
Integrating Local Context and Global Cohesiveness for Open Information Extraction. CoRR (2018)
Xuan Wang, Yu Zhang, Qi Li, Yinyin Chen, Jiawei Han
Open Information Extraction with Meta-pattern Discovery in Biomedical Literature. BCB (2018)
Xuan Wang, Yu Zhang, Qi Li, Cathy H. Wu, Jiawei Han
PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature. BIBM (2018)
Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. WWW (2018)
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning. CoRR (2018)
Yu Zhang, Yan Zhang
Top-K Influential Nodes in Social Networks: A Game Perspective. SIGIR (2017)
Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation. CIKM (2017)
Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han
Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. CoRR (2017)