RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation. - Yu Zhang 044; Wei Wei 019; Binxuan Huang; Kathleen M. Carley; Yan Zhang 004 (CIKM, 2017)

Top-K Influential Nodes in Social Networks: A Game Perspective. - Yu Zhang 044; Yan Zhang 004 (SIGIR, 2017)

Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. - Meng Qu; Xiang Ren 001; Yu Zhang 044; Jiawei Han 001 (CoRR, 2017)

Open Information Extraction with Meta-pattern Discovery in Biomedical Literature. - Xuan Wang 008; Yu Zhang 044; Qi Li 012; Yinyin Chen; Jiawei Han 001 (BCB, 2018)

PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature. - Xuan Wang 008; Yu Zhang 044; Qi Li 012; Cathy H. Wu; Jiawei Han 001 (BIBM, 2018)

Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature. - Qi Li 012; Xuan Wang 008; Yu Zhang 044; Fei Ling; Cathy H. Wu; Jiawei Han 001 (BIBM, 2018)

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. - Meng Qu; Xiang Ren 001; Yu Zhang 044; Jiawei Han 001 (WWW, 2018)

Open Information Extraction with Global Structure Constraints. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Frank F. Xu; Jiawei Han 001 (WWW (Companion Volume), 2018)

Integrating Local Context and Global Cohesiveness for Open Information Extraction. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Frank F. Xu; Jiawei Han 001 (CoRR, 2018)

Diversifying seeds and audience in social influence maximization. - Yu Zhang 044 (ASONAM, 2019)

Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. - Xuan Wang 008; Yu Zhang 044; Qi Li 012; Xiang Ren 001; Jingbo Shang; Jiawei Han 001 (BIBM, 2019)

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. - Yu Zhang 044; Frank F. Xu; Sha Li; Yu Meng 001; Xuan Wang 008; Qi Li 012; Jiawei Han 001 (ICDM, 2019)

Integrating Local Context and Global Cohesiveness for Open Information Extraction. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Ahmed El-Kishky; Jiawei Han 001 (WSDM, 2019)

Cross-type biomedical named entity recognition with deep multi-task learning. - Xuan Wang 008; Yu Zhang 044; Xiang Ren 001; Yuhao Zhang 004; Marinka Zitnik; Jingbo Shang; Curtis P. Langlotz; Jiawei Han 001 (Bioinform., 2019)

Pattern-enhanced Named Entity Recognition with Distant Supervision. - Xuan Wang 008; Yingjun Guan; Yu Zhang 044; Qi Li 012; Jiawei Han 001 (IEEE BigData, 2020)

Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding. - Xuan Wang 008; Yu Zhang 044; Aabhas Chauhan; Qi Li 012; Jiawei Han 001 (IEEE BigData, 2020)

Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Yu Zhang 044; Chao Zhang 014; Jiawei Han 001 (KDD, 2020)

Minimally Supervised Categorization of Text with Metadata. - Yu Zhang 044; Yu Meng 001; Jiaxin Huang 001; Frank F. Xu; Xuan Wang 008; Jiawei Han 001 (SIGIR, 2020)

Discriminative Topic Mining via Category-Name Guided Text Embedding. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Zihan Wang 001; Chao Zhang 014; Yu Zhang 044; Jiawei Han 001 (WWW, 2020)

Multiscale online media simulation with SocialCube. - Tarek F. Abdelzaher; Jiawei Han 001; Yifan Hao; Andong Jing; Dongxin Liu; Shengzhong Liu; Hoang Hai Nguyen; David M. Nicol; Huajie Shao; Tianshi Wang; Shuochao Yao; Yu Zhang 044; et al. (Comput. Math. Organ. Theory, 2020)

Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. - Carl Yang 001; Yuxin Xiao; Yu Zhang 044; Yizhou Sun; Jiawei Han 001 (CoRR, 2020)

Partially-Typed NER Datasets Integration: Connecting Practice to Theory. - Shi Zhi; Liyuan Liu; Yu Zhang 044; Shiyin Wang; Qi Li 012; Chao Zhang 014; Jiawei Han 001 (CoRR, 2020)

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Xuan Wang 008; Yu Zhang 044; Heng Ji 001; Jiawei Han 001 (EMNLP (1), 2021)

On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (KDD, 2021)

Simulating Online Social Response: A Stimulus/Response Perspective. - Huajie Shao; Tarek F. Abdelzaher; Jiawei Han 001; Minhao Jiang; Yuning Mao; Yu Meng 001; Wenda Qiu; Dachun Sun; Ruijie Wang 004; Chaoqi Yang; Zhenzhou Yang; Xinyang Zhang 002; et al. (WSC, 2021)

Hierarchical Metadata-Aware Document Categorization under Weak Supervision. - Yu Zhang 044; Xiusi Chen; Yu Meng 001; Jiawei Han 001 (WSDM, 2021)

MATCH: Metadata-Aware Text Classification in A Large Hierarchy. - Yu Zhang 044; Zhihong Shen; Yuxiao Dong; Kuansan Wang; Jiawei Han 001 (WWW, 2021)

REACTCLASS: Cross-Modal Supervision for Subword-Guided Reactant Entity Classification. - Xuan Wang 008; Vivian Hu; Minhao Jiang; Yu Zhang 044; Jinfeng Xiao; Danielle Cherrice Loving; Heng Ji 001; Martin D. Burke; Jiawei Han 001 (BIBM, 2022)

Entity Set Co-Expansion in StackOverflow. - Yu Zhang 044; Yunyi Zhang 001; Yucheng Jiang; Martin Michalski; Yu Deng 004; Lucian Popa 001; ChengXiang Zhai; Jiawei Han 001 (IEEE Big Data, 2022)

Adapting Pretrained Representations for Text Mining. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (KDD, 2022)

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. - Yu Zhang 044; Yu Meng 001; Xuan Wang 008; Sheng Wang 012; Jiawei Han 001 (NAACL-HLT, 2022)

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (NeurIPS, 2022)

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. - Yu Zhang 044; Shweta Garg 004; Yu Meng 001; Xiusi Chen; Jiawei Han 001 (WSDM, 2022)

Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (WWW, 2022)

Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. - Yu Zhang 044; Zhihong Shen; Chieh-Han Wu; Boya Xie; Junheng Hao; Ye-Yi Wang; Kuansan Wang; Jiawei Han 001 (WWW, 2022)

Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks. - Bowen Jin; Yu Zhang 044; Qi Zhu 008; Jiawei Han 001 (CoRR, 2022)

Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. - Carl Yang 001; Yuxin Xiao; Yu Zhang 044; Yizhou Sun; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2022)

Patton: Language Model Pretraining on Text-Rich Networks. - Bowen Jin; Wentao Zhang; Yu Zhang 044; Yu Meng 001; Xinyang Zhang 002; Qi Zhu 008; Jiawei Han 001 (ACL (1), 2023)

Chain-of-Skills: A Configurable Model for Open-Domain Question Answering. - Kaixin Ma; Hao Cheng 002; Yu Zhang 044; Xiaodong Liu 002; Eric Nyberg; Jianfeng Gao 001 (ACL (1), 2023)

Mining Structures from Massive Texts by Exploring the Power of Pre-trained Language Models. - Yu Zhang 044; Yunyi Zhang 001; Jiawei Han 001 (EDBT, 2023)

Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. - Yu Zhang 044; Hao Cheng 002; Zhihong Shen; Xiaodong Liu 003; Ye-Yi Wang; Jianfeng Gao 001 (EMNLP (Findings), 2023)

PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training. - Yunyi Zhang 001; Minhao Jiang; Yu Meng 001; Yu Zhang 044; Jiawei Han 001 (EMNLP, 2023)

Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. - Bowen Jin; Yu Zhang 044; Yu Meng 001; Jiawei Han 001 (ICLR, 2023)

Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. - Yu Meng 001; Martin Michalski; Jiaxin Huang 001; Yu Zhang 044; Tarek F. Abdelzaher; Jiawei Han 001 (ICML, 2023)

Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. - Bowen Jin; Yu Zhang 044; Qi Zhu 008; Jiawei Han 001 (KDD, 2023)

Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Yunyi Zhang 001; Jiawei Han 001 (KDD, 2023)

Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. - Yu Zhang 044; Bowen Jin; Xiusi Chen; Yanzhen Shen; Yunyi Zhang 001; Yu Meng 001; Jiawei Han 001 (KDD, 2023)

Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. - Xiusi Chen; Yu Zhang 044; Jinliang Deng; Jyun-Yu Jiang; Wei Wang 010 (SDM, 2023)

Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. - Yu Zhang 044; Yunyi Zhang 001; Martin Michalski; Yucheng Jiang; Yu Meng 001; Jiawei Han 001 (WSDM, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (WWW, 2023)

Chain-of-Skills: A Configurable Model for Open-domain Question Answering. - Kaixin Ma; Hao Cheng 002; Yu Zhang 044; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (CoRR, 2023)

PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training. - Yunyi Zhang 001; Minhao Jiang; Yu Meng 001; Yu Zhang 044; Jiawei Han 001 (CoRR, 2023)

Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder. - Bowen Jin; Wentao Zhang; Yu Zhang 044; Yu Meng 001; Han Zhao 002; Jiawei Han 001 (CoRR, 2023)

"Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching. - Yu Zhang 044; Yanzhen Shen; Xiusi Chen; Bowen Jin; Jiawei Han 001 (CoRR, 2023)

The MAPLE Benchmark for Scientific Literature Tagging. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (Zenodo, 2023)

The MAPLE Benchmark for Graph Mining. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (Zenodo, 2023)

The MAPLE Benchmark for Graph Mining. - Yu Zhang 044; Bowen Jin; Qi Zhu 008; Yu Meng 001; Jiawei Han 001 (Zenodo, 2023)

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. - Yu Zhang 044; Yunyi Zhang 001; Yanzhen Shen; Yu Deng 004; Lucian Popa 001; Larisa Shwartz; ChengXiang Zhai; Jiawei Han 001 (AAAI, 2024)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Bowen Jin; Chulin Xie; Jiawei Zhang 001; Kashob Kumar Roy; Yu Zhang 044; Zheng Li 018; Ruirui Li 002; Xianfeng Tang; Suhang Wang; Yu Meng 001; Jiawei Han 001 (ACL (Findings), 2024)

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. - Yu Zhang 044; Xiusi Chen; Bowen Jin; Sheng Wang 012; Shuiwang Ji; Wei Wang 010; Jiawei Han 001 (EMNLP, 2024)

Ontology Enrichment for Effective Fine-grained Entity Typing. - Siru Ouyang; Jiaxin Huang 001; Pranav Pillai; Yunyi Zhang 001; Yu Zhang 044; Jiawei Han 001 (KDD, 2024)

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. - Qing Xiao 003; Siyeop Yoon; Hui Ren 001; Matthew Tivnan; Lichao Sun 001; Quanzheng Li; Tianming Liu 001; Yu Zhang 044; Xiang Li 001 (MICCAI (2), 2024)

Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery. - Bowen Jin; Yu Zhang 044; Sha Li; Jiawei Han 001 (WSDM, 2024)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Bowen Jin; Chulin Xie; Jiawei Zhang 001; Kashob Kumar Roy; Yu Zhang 044; Suhang Wang; Yu Meng 001; Jiawei Han 001 (CoRR, 2024)

A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion. - Yanzhen Shen; Yu Zhang 044; Yunyi Zhang 001; Jiawei Han 001 (ACL (Findings), 2025)

Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. - SeongKu Kang; Bowen Jin; Wonbin Kweon; Yu Zhang 044; Dongha Lee 003; Jiawei Han 001; Hwanjo Yu (WSDM, 2025)

Chain-of-Factors Paper-Reviewer Matching. - Yu Zhang 044; Yanzhen Shen; SeongKu Kang; Xiusi Chen; Bowen Jin; Jiawei Han 001 (WWW, 2025)

Protein Large Language Models: A Comprehensive Survey. - Yijia Xiao; Wanjia Zhao; Junkai Zhang; Yiqiao Jin; Han Zhang; Zhicheng Ren; Renliang Sun; Haixin Wang 003; Guancheng Wan; Pan Lu; Xiao Luo 001; Yu Zhang 044; et al. (CoRR, 2025)

A Survey on Post-training of Large Language Models. - Guiyao Tie; Zeli Zhao; Dingjie Song; Fuyang Wei; Rong Zhou; Yurou Dai; Wen Yin; Zhejian Yang; Jiangyue Yan; Yao Su 003; Zhenhan Dai; Yifeng Xie; et al. (CoRR, 2025)

RM-R1: Reward Modeling as Reasoning. - Xiusi Chen; Gaotang Li; Ziqi Wang 003; Bowen Jin; Cheng Qian 008; Yu Wang 072; Hongru Wang 011; Yu Zhang 044; Denghui Zhang; Tong Zhang 001; Hanghang Tong; Heng Ji 001 (CoRR, 2025)

Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents. - Zhejian Yang; Yongchao Chen; Xueyang Zhou; Jiangyue Yan; Dingjie Song; Yinuo Liu; Yuting Li; Yu Zhang 044; Pan Zhou 001; Hechang Chen; Lichao Sun 001 (CoRR, 2025)

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning. - Shubham Parashar; Shurui Gui; Xiner Li; Hongyi Ling; Sushil Vemuri; Blake Olson; Eric Li; Yu Zhang 044; James Caverlee; Dileep Kalathil; Shuiwang Ji (CoRR, 2025)