Jiawei Han

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 499

Top Venues

Publications

Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han
Automated Mining of Structured Knowledge from Text in the Era of Large Language Models. KDD (2024)
Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang, Yu Meng, Jiawei Han
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. CoRR (2024)
Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen
Multi-LoRA Composition for Image Generation. CoRR (2024)
SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. WWW (2024)
Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. CoRR (2024)
Yanzhen Shen, Yu Zhang, Yunyi Zhang, Jiawei Han
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion. CoRR (2024)
Martin D. Burke, Scott E. Denmark, Ying Diao, Jiawei Han, Rachel D. Switzky, Huimin Zhao
Molecule Maker Lab Institute: Accelerating, advancing, and democratizing molecular innovation. AI Mag. 45 (1) (2024)
Bowen Jin, Yu Zhang, Sha Li, Jiawei Han
Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery. WSDM (2024)
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. NAACL-HLT (2024)
Priyanka Kargupta, Ishika Agarwal, Dilek Hakkani-Tur, Jiawei Han
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging. CoRR (2024)
Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han
OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing. KDD (2024)
Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) (2024)
Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. CoRR (2024)
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. NAACL-HLT (2024)
Linyi Ding, Sizhe Zhou, Jinfeng Xiao, Jiawei Han
Automated Construction of Theme-specific Knowledge Graphs. CoRR (2024)
Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Jinfeng Xiao, Jiaming Shen, Jiawei Han
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. CoRR (2024)
Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. CoRR (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. CoRR (2024)
Wei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang, Jiawei Han, Shaowen Wang
Geospatial Topological Relation Extraction from Text with Knowledge Augmentation. SDM (2024)
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
Representation Deficiency in Masked Language Modeling. ICLR (2024)
Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. EACL (Findings) (2024)
Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. CoRR (2024)
Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han
ActionIE: Action Extraction from Scientific Literature with Programming Languages. ACL (1) (2024)
Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. AAAI (2024)
Sizhe Zhou, Sha Li, Yu Meng, Yizhu Jiao, Heng Ji, Jiawei Han
Establishing Knowledge Preference in Language Models. CoRR (2024)
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. CoRR (2024)
Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han
Text2DB: Integration-Aware Information Extraction with Large Language Model Agents. ACL (Findings) (2024)
Minhao Jiang, Ken Ziyu Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo
Investigating Data Contamination for Pre-training Language Models. CoRR (2024)
Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. ICLR (2024)
Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. CoRR (2024)
Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. ICLR (2024)
Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. CoRR (2024)
Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han
Ontology Enrichment for Effective Fine-grained Entity Typing. KDD (2024)
Zexing Xu, Linjun Zhang, Sitan Yang, Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data. CoRR (2024)
Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. CoRR (2024)
Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. NAACL-HLT (2024)
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
Representation Deficiency in Masked Language Modeling. CoRR (2023)
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)
Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. EMNLP (2023)
Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, Heng Ji
RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor. CoRR (2023)
Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. CoRR (2023)
Qiusi Zhan, Sha Li, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han
GLEN: General-Purpose Event Detection for Thousands of Types. CoRR (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)
Sizhe Zhou, Suyu Ge, Jiaming Shen, Jiawei Han
Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns. ECML/PKDD (4) (2023)
Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. ACL (1) (2023)
Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR (2023)
Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. ICLR (2023)
Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han
FineSum: Target-Oriented, Fine-Grained Opinion Summarization. WSDM (2023)
Zhaonan Wang, Bowen Jin, Wei Hu, Minhao Jiang, Seungyeon Kang, Zhiyuan Li, Sizhe Zhou, Jiawei Han, Shaowen Wang
Geospatial Knowledge Hypercube. SIGSPATIAL/GIS (2023)
Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. CoRR (2023)
Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance. ACL (Findings) (2023)
Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. EMNLP (2023)
Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training. EMNLP (2023)
Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han
OntoType: Ontology-Guided Zero-Shot Fine-Grained Entity Typing with Weak Supervision from Pre-Trained Language Models. CoRR (2023)
Siru Ouyang, Jiaao Chen, Jiawei Han, Diyi Yang
Compositional Data Augmentation for Abstractive Conversation Summarization. ACL (1) (2023)
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. CoRR (2023)
Susik Yoon, Hou Pong Chan, Jiawei Han
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. WWW (2023)
Jiawei Han
Large Foundational Model is a Blessing to Natural Language Understanding and Data Mining. CogMI (2023)
Xinyang Zhang, Yury Malkov, Omar Florez, Serim Park, Brian McWilliams, Jiawei Han, Ahmed El-Kishky
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter. KDD (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)
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65 (2) (2023)
Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han
SCStory: Self-supervised and Continual Online Story Discovery. CoRR (2023)
Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han
Large Language Models on Graphs: A Comprehensive Survey. CoRR (2023)
Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. SIGIR (2023)
Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. KDD (2023)
Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. EMNLP (2023)
Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Jiawei Han, Lianhui Qin
Structured Chemistry Reasoning with Large Language Models. CoRR (2023)
Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
Large Language Models Can Self-Improve. EMNLP (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)
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)
Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. ACL (Findings) (2023)
Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. CoRR (2023)
Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. CoRR (2023)
Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han
PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training. CoRR (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. CoRR (2023)
Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han
Unsupervised Event Chain Mining from Multiple Documents. WWW (2023)
Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. CoRR (2023)
Sha Li, Qiusi Zhan, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han
GLEN: General-Purpose Event Detection for Thousands of Types. EMNLP (2023)
Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. CoRR (2023)
Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han
MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities. CoRR (2023)
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. CoRR (2023)
Carl Yang, Jiawei Han
Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. ICDE (2023)
Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities. EMNLP (Findings) (2023)
Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. 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)
Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. CoRR (2023)
Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan
Entity Linking Meets Deep Learning: Techniques and Solutions. IEEE Trans. Knowl. Data Eng. 35 (3) (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, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han
Patton: Language Model Pretraining on Text-Rich Networks. CoRR (2023)
Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han
SCStory: Self-supervised and Continual Online Story Discovery. WWW (2023)
Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. ACL (Findings) (2023)
Qi Zhu, Yizhu Jiao, Natalia Ponomareva, Jiawei Han, Bryan Perozzi
Explaining and Adapting Graph Conditional Shift. CoRR (2023)
Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
GCN for HIN via Implicit Utilization of Attention and Meta-Paths. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. KDD (2023)
Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
Language Models As Semantic Indexers. CoRR (2023)
Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. WSDM (2023)
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. EMNLP (2023)
Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, Heng Ji
RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor. EMNLP (Demos) (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jiawei Han