Yu Zhang

106 papers A* 23A 10B 3Misc 1Journal 48Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation.
CoRR
Zhisheng Qi, Utkarsh Sahu, Li Ma, Haoyu Han, Ryan Rossi, Franck Dernoncourt, Mahantesh Halappanavar, Nesreen K. Ahmed, Yushun Dong, Yue Zhao, Yu Zhang, Yu Wang
2026 J jnl
Improving Scientific Document Retrieval with Academic Concept Index.
CoRR
Jeyun Lee, Junhyoung Lee, Wonbin Kweon, Bowen Jin, Yu Zhang, Susik Yoon, Dongha Lee, Hwanjo Yu, Jiawei Han, SeongKu Kang
2026 A conf
Knowledge Homophily in Large Language Models.
WSDM
Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang
2026 — conf
MemeBridge: A Dataset for Benchmarking and Mitigating the Bidirectional Cultural Gap in Meme Interpretation.
KDD (1)
Hangxiao Zhu, Suliu Qin, Zhuoyan Li, Ming Jiang, Yu Zhang, Meng Xia
2026 A conf
Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs).
WSDM
Zhisheng Qi, Yongjia Lei, Haoyu Han, Harry Shomer, Kaize Ding, Yu Zhang, Ryan A. Rossi, Hui Liu, Yu Wang
2025 — conf
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion.
ACL (Findings)
Yanzhen Shen, Yu Zhang, Yunyi Zhang, Jiawei Han
2025 A* conf
Chain-of-Factors Paper-Reviewer Matching.
WWW
Yu Zhang, Yanzhen Shen, SeongKu Kang, Xiusi Chen, Bowen Jin, Jiawei Han
2025 J jnl
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning.
CoRR
Shubham Parashar, Shurui Gui, Xiner Li, Hongyi Ling, Sushil Vemuri, Blake Olson, Eric Li, Yu Zhang, James Caverlee, Dileep Kalathil, Shuiwang Ji
2025 A conf
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation.
WSDM
SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu
2025 J jnl
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation.
CoRR
SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu
2025 J jnl
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use.
CoRR
Zhuofeng Li, Haoxiang Zhang, Seungju Han, Sheng Liu, Jianwen Xie, Yu Zhang, Yejin Choi, James Zou, Pan Lu
2025 — conf
Internal and External Impacts of Natural Language Processing Papers.
ACL (2)
Yu Zhang
2025 J jnl
Knowledge Homophily in Large Language Models.
CoRR
Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt, Yu Zhang, Yao Ma, Yu Wang
2025 — conf
Machine Learning on Graphs in the Era of Generative Artificial Intelligence.
KDD (2)
Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang
2025 — conf
Protein Large Language Models: A Comprehensive Survey.
EMNLP (Findings)
Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang
2025 J jnl
Protein Large Language Models: A Comprehensive Survey.
CoRR
Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang
2025 J jnl
RM-R1: Reward Modeling as Reasoning.
CoRR
Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji
2025 — conf
SKnow-LLM Workshop: Structured Knowledge for Large Language Models.
KDD (2)
Qi Zhu, Xiusi Chen, Yu Zhang, Soji Adeshina, Costas Mavromatis, Zhen Han, Vassilis N. Ioannidis, Leman Akoglu, Danai Koutra, Huzefa Rangwala
2024 A* conf
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery.
EMNLP
Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han
2024 J jnl
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery.
CoRR
Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han
2024 J jnl
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion.
CoRR
Yanzhen Shen, Yu Zhang, Yunyi Zhang, Jiawei Han
2024 A conf
Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery.
WSDM
Bowen Jin, Yu Zhang, Sha Li, Jiawei Han
2024 — conf
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
ACL (Findings)
Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
2024 J jnl
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
CoRR
Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang, Yu Meng, Jiawei Han
2024 A* conf
Ontology Enrichment for Effective Fine-grained Entity Typing.
KDD
Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han
2024 A* conf
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains.
AAAI
Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han
2024 J jnl
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains.
CoRR
Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han
2023 J jnl
"Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching.
CoRR
Yu Zhang, Yanzhen Shen, Xiusi Chen, Bowen Jin, Jiawei Han
2023 — conf
Chain-of-Skills: A Configurable Model for Open-Domain Question Answering.
ACL (1)
Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
2023 J jnl
Chain-of-Skills: A Configurable Model for Open-domain Question Answering.
CoRR
Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
2023 A* conf
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks.
ICLR
Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han
2023 J jnl
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks.
CoRR
Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han
2023 A conf
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts.
WSDM
Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han
2023 A conf
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.
SDM
Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
2023 J jnl
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.
CoRR
Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
2023 A* conf
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks.
KDD
Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han
2023 J jnl
Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder.
CoRR
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han
2023 B conf
Mining Structures from Massive Texts by Exploring the Power of Pre-trained Language Models.
EDBT
Yu Zhang, Yunyi Zhang, Jiawei Han
2023 J jnl
Ontology Enrichment for Effective Fine-grained Entity Typing.
CoRR
Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han
2023 A* conf
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training.
EMNLP
Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han
2023 — conf
Patton: Language Model Pretraining on Text-Rich Networks.
ACL (1)
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han
2023 J jnl
Patton: Language Model Pretraining on Text-Rich Networks.
CoRR
Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han
2023 — conf
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding.
EMNLP (Findings)
Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao
2023 J jnl
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding.
CoRR
Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao
2023 A* conf
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective.
KDD
Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han
2023 J jnl
PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training.
CoRR
Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han
2023 A* conf
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study.
WWW
Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han
2023 J jnl
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study.
CoRR
Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han
2023 A* conf
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning.
ICML
Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
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 R. 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
2023 A* conf
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers.
KDD
Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han
2023 J jnl
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers.
CoRR
Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han
2022 A* conf
Adapting Pretrained Representations for Text Mining.
KDD
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts.
CoRR
Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han
2022 B conf
Entity Set Co-Expansion in StackOverflow.
IEEE Big Data
Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han
2022 J jnl
Entity Set Co-Expansion in StackOverflow.
CoRR
Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han
2022 A* conf
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
NeurIPS
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
CoRR
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks.
CoRR
Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han
2022 J jnl
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark.
IEEE Trans. Knowl. Data Eng.
Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
2022 A* conf
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification.
WWW
Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han
2022 J jnl
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification.
CoRR
Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han
2022 A conf
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information.
WSDM
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
2022 — conf
REACTCLASS: Cross-Modal Supervision for Subword-Guided Reactant Entity Classification.
BIBM
Xuan Wang, Vivian Hu, Minhao Jiang, Yu Zhang, Jinfeng Xiao, Danielle Cherrice Loving, Heng Ji, Martin D. Burke, Jiawei Han
2022 — conf
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds.
NAACL-HLT
Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han
2022 J jnl
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds.
CoRR
Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han
2022 A* conf
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations.
WWW
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations.
CoRR
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning.
CoRR
Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han
2021 — conf
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training.
EMNLP (1)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han
2021 J jnl
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training.
CoRR
Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han
2021 A conf
Hierarchical Metadata-Aware Document Categorization under Weak Supervision.
WSDM
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
2021 A* conf
MATCH: Metadata-Aware Text Classification in A Large Hierarchy.
WWW
Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han
2021 J jnl
MATCH: Metadata-Aware Text Classification in A Large Hierarchy.
CoRR
Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han
2021 J jnl
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information.
CoRR
Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han
2021 A* conf
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining.
KDD
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2021 J jnl
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation.
CoRR
Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang
2021 Misc conf
Simulating Online Social Response: A Stimulus/Response Perspective.
WSC
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
2020 A* conf
Discriminative Topic Mining via Category-Name Guided Text Embedding.
WWW
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han
2020 J jnl
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond.
CoRR
Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
2020 J jnl
Hierarchical Metadata-Aware Document Categorization under Weak Supervision.
CoRR
Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han
2020 A* conf
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding.
KDD
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
2020 J jnl
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding.
CoRR
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
2020 A* conf
Minimally Supervised Categorization of Text with Metadata.
SIGIR
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
2020 J jnl
Minimally Supervised Categorization of Text with Metadata.
CoRR
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
2020 J jnl
Multiscale online media simulation with SocialCube.
Comput. Math. Organ. Theory
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
2020 J jnl
Partially-Typed NER Datasets Integration: Connecting Practice to Theory.
CoRR
Shi Zhi, Liyuan Liu, Yu Zhang, Shiyin Wang, Qi Li, Chao Zhang, Jiawei Han
2020 — conf
Pattern-enhanced Named Entity Recognition with Distant Supervision.
IEEE BigData
Xuan Wang, Yingjun Guan, Yu Zhang, Qi Li, Jiawei Han
2020 — conf
Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding.
IEEE BigData
Xuan Wang, Yu Zhang, Aabhas Chauhan, Qi Li, Jiawei Han
2019 J jnl
Cross-type biomedical named entity recognition with deep multi-task learning.
Bioinform.
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han
2019 — conf
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion.
BIBM
Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, Jiawei Han
2019 J jnl
Diversifying Seeds and Audience in Social Influence Maximization.
CoRR
Yu Zhang
2019 B conf
Diversifying seeds and audience in social influence maximization.
ASONAM
Yu Zhang
2019 A* conf
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories.
ICDM
Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
2019 J jnl
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories.
CoRR
Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
2019 A conf
Integrating Local Context and Global Cohesiveness for Open Information Extraction.
WSDM
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han
2018 J jnl
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning.
CoRR
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han
2018 J jnl
Integrating Local Context and Global Cohesiveness for Open Information Extraction.
CoRR
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
2018 — conf
Open Information Extraction with Global Structure Constraints.
WWW (Companion Volume)
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
2018 — conf
Open Information Extraction with Meta-pattern Discovery in Biomedical Literature.
BCB
Xuan Wang, Yu Zhang, Qi Li, Yinyin Chen, Jiawei Han
2018 — conf
PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature.
BIBM
Xuan Wang, Yu Zhang, Qi Li, Cathy H. Wu, Jiawei Han
2018 — conf
Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature.
BIBM
Qi Li, Xuan Wang, Yu Zhang, Fei Ling, Cathy H. Wu, Jiawei Han
2018 A* conf
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning.
WWW
Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han
2017 J jnl
Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach.
CoRR
Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han
2017 A conf
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation.
CIKM
Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang
2017 A* conf
Top-K Influential Nodes in Social Networks: A Game Perspective.
SIGIR
Yu Zhang, Yan Zhang