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ORCIDJiawei Han 0001
韩家炜
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
- affiliation (former): Simon Fraser University, School of Computing Science, Canada
- unicode name: 韩家炜
- award (2009): W. Wallace McDowell Award
Other persons with the same name
- Jiawei Han — disambiguation page
- Jiawei Han 0002
![[0000-0003-1956-5012]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1956-5012")
— Tianjin Normal University, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, China (and 1 more) - Jiawei Han 0003 — Northwestern Polytechnical University, Xi'an, China
- Jiawei Han 0004 — Zhejiang University, Qiushi Academy for Advanced Studies, Hangzhou, China
- Jiawei Han 0005 — Chongqing University of Post and Telecommunications, Chongqing Key Lab of Mobile Communications Technology, China
- Jiawei Han 0006 — Jilin University, College of Computer Science and Technology, Changchun, China
- Jiawei Han 0007 — National Engineering Research Center for Information Technology in Agriculture, Beijing, China
- Jiawei Han 0008 — Beijing Institute of Technology, School of Optics and Photonics, China
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2020 – today
- 2023
[j202]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): 613-640 (2023)- [j201]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): 2556-2578 (2023) - [j200]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): 3925-3937 (2023) - [c762]Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han:
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance. ACL (Findings) 2023: 194-217 - [c761]Siru Ouyang, Jiaao Chen, Jiawei Han, Diyi Yang:
Compositional Data Augmentation for Abstractive Conversation Summarization. ACL (1) 2023: 1471-1488 - [c760]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: 5677-5697 - [c759]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: 7005-7020 - [c758]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: 11161-11180 - [c757]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: 12120-12130 - [c756]Yu Zhang, Yunyi Zhang, Jiawei Han:
Mining Structures from Massive Texts by Exploring the Power of Pre-trained Language Models. EDBT 2023: 851-854 - [c755]Carl Yang, Jiawei Han:
Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. ICDE 2023: 682-695 - [c754]Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han:
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. ICLR 2023 - [c753]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: 24457-24477 - [c752]Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han:
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. KDD 2023: 1020-1031 - [c751]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: 3458-3469 - [c750]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: 5597-5607 - [c749]Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han:
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. KDD 2023: 5817-5818 - [c748]Sizhe Zhou, Suyu Ge, Jiaming Shen, Jiawei Han:
Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns. ECML/PKDD (4) 2023: 20-38 - [c747]Jinfeng Xiao, Mohab Elkaref, Nathan Herr, Geeth De Mel, Jiawei Han:
Taxonomy-Guided Fine-Grained Entity Set Expansion. SDM 2023: 631-639 - [c746]Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han:
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. SIGIR 2023: 802-811 - [c745]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: 429-437 - [c744]Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han:
FineSum: Target-Oriented, Fine-Grained Opinion Summarization. WSDM 2023: 1093-1101 - [c743]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: 648-658 - [c742]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: 1626-1637 - [c741]Susik Yoon, Hou Pong Chan, Jiawei Han:
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. WWW 2023: 1650-1661 - [c740]Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han:
SCStory: Self-supervised and Continual Online Story Discovery. WWW 2023: 1853-1864 - [c739]Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han:
Unsupervised Event Chain Mining from Multiple Documents. WWW 2023: 1948-1959 - [d3]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Scientific Literature Tagging. Zenodo, 2023
- [d2]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Graph Mining. Version 1. Zenodo, 2023 [all versions] - [d1]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Graph Mining. Version 2. Zenodo, 2023 [all versions] - [i184]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 abs/2302.02060 (2023) - [i183]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 abs/2302.03341 (2023) - [i182]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. CoRR abs/2302.03754 (2023) - [i181]Susik Yoon, Hou Pong Chan, Jiawei Han:
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. CoRR abs/2302.05550 (2023) - [i180]Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han:
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. CoRR abs/2302.11050 (2023) - [i179]Qiusi Zhan, Sha Li, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han:
GLEN: General-Purpose Event Detection for Thousands of Types. CoRR abs/2303.09093 (2023) - [i178]Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han:
MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities. CoRR abs/2304.01969 (2023) - [i177]Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han:
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. CoRR abs/2304.04099 (2023) - [i176]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han:
Patton: Language Model Pretraining on Text-Rich Networks. CoRR abs/2305.12268 (2023) - [i175]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 abs/2305.12307 (2023) - [i174]Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han:
PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training. CoRR abs/2305.13723 (2023) - [i173]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 abs/2305.14327 (2023) - [i172]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR abs/2305.15597 (2023) - [i171]Qi Zhu, Yizhu Jiao, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Explaining and Adapting Graph Conditional Shift. CoRR abs/2306.03256 (2023) - [i170]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 abs/2306.14003 (2023) - [i169]Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han:
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. CoRR abs/2307.01448 (2023) - [i168]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 abs/2307.01972 (2023) - [i167]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 abs/2310.01801 (2023) - [i166]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han:
Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder. CoRR abs/2310.06684 (2023) - [i165]Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han:
Ontology Enrichment for Effective Fine-grained Entity Typing. CoRR abs/2310.07795 (2023) - [i164]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 abs/2310.07815 (2023) - [i163]Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He:
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. CoRR abs/2310.11451 (2023) - [i162]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 abs/2310.12418 (2023) - [i161]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 abs/2310.14483 (2023) - [i160]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 abs/2310.16040 (2023) - [i159]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 abs/2311.07689 (2023) - [i158]Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Jiawei Han, Lianhui Qin:
Structured Chemistry Reasoning with Large Language Models. CoRR abs/2311.09656 (2023) - 2022
- [b11]Jiaming Shen, Jiawei Han:
Automated Taxonomy Discovery and Exploration. Synthesis Lectures on Data Mining and Knowledge Discovery, Springer 2022, ISBN 978-3-031-11404-5, pp. 1-103 - [j199]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu:
Heterogeneous Information Networks: the Past, the Present, and the Future. Proc. VLDB Endow. 15(12): 3807-3811 (2022) - [j198]Di Jin, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han:
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data. IEEE Trans. Big Data 8(4): 867-868 (2022) - [j197]Carl J. 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): 4854-4873 (2022) - [j196]Wei Shen, Yuwei Yin, Yang Yang, Jiawei Han, Jianyong Wang, Xiaojie Yuan:
Toward Tweet Entity Linking With Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 34(12): 6003-6017 (2022) - [c738]Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han:
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion. ACL (Findings) 2022: 257-268 - [c737]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. ACL (1) 2022: 6253-6264 - [c736]Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han:
Phrase-aware Unsupervised Constituency Parsing. ACL (1) 2022: 6406-6415 - [c735]Xuan Wang, Vivian Hu, Minhao Jiang, Yu Zhang, Jinfeng Xiao, Danielle Cherrice Loving, Heng Ji, Martin Burke, Jiawei Han:
REACTCLASS: Cross-Modal Supervision for Subword-Guided Reactant Entity Classification. BIBM 2022: 844-847 - [c734]Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han:
Entity Set Co-Expansion in StackOverflow. IEEE Big Data 2022: 4792-4795 - [c733]Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CIKM 2022: 2721-2731 - [c732]Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han:
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. EMNLP (Findings) 2022: 1687-1700 - [c731]Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han:
Towards a Unified Multi-Dimensional Evaluator for Text Generation. EMNLP 2022: 2023-2038 - [c730]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. EMNLP (Findings) 2022: 3833-3847 - [c729]Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Multi-Granularity Summarization. EMNLP (Findings) 2022: 4980-4995 - [c728]Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han:
Open-Vocabulary Argument Role Prediction For Event Extraction. EMNLP (Findings) 2022: 5404-5418 - [c727]Sha Li, Heng Ji, Jiawei Han:
Open Relation and Event Type Discovery with Type Abstraction. EMNLP 2022: 6864-6877 - [c726]Yuning Mao, Ming Zhong, Jiawei Han:
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision. EMNLP 2022: 10922-10935 - [c725]Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr:
THINK: Temporal Hypergraph Hyperbolic Network. ICDM 2022: 849-854 - [c724]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song:
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. ICLR 2022 - [c723]Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke:
Chemical-Reaction-Aware Molecule Representation Learning. ICLR 2022 - [c722]Jiaxin Huang, Yu Meng, Jiawei Han:
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. KDD 2022: 605-614 - [c721]Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han:
Unsupervised Key Event Detection from Massive Text Corpora. KDD 2022: 2535-2544 - [c720]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Adapting Pretrained Representations for Text Mining. KDD 2022: 4806-4807 - [c719]Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han:
New Frontiers of Scientific Text Mining: Tasks, Data, and Tools. KDD 2022: 4832-4833 - [c718]Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. NAACL-HLT 2022: 279-290 - [c717]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. NAACL-HLT 2022: 2395-2409 - [c716]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. NeurIPS 2022 - [c715]Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han:
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. WSDM 2022: 1357-1367 - [c714]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c713]Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. WWW 2022: 925-934 - [c712]Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han:
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW 2022: 1301-1310 - [c711]Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. WWW 2022: 2819-2829 - [c710]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. WWW 2022: 3143-3152 - [c709]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. WWW 2022: 3153-3161 - [c708]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: 3162-3173 - [i157]Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. CoRR abs/2201.06771 (2022) - [i156]Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Summarization with Customized Granularities. CoRR abs/2201.12502 (2022) - [i155]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. CoRR abs/2202.04538 (2022) - [i154]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. CoRR abs/2202.04582 (2022) - [i153]Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. CoRR abs/2202.04887 (2022) - [i152]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. CoRR abs/2202.05932 (2022) - [i151]Sha Li, Liyuan Liu, Yiqing Xie, Heng Ji, Jiawei Han:
PILED: An Identify-and-Localize Framework for Few-Shot Event Detection. CoRR abs/2202.07615 (2022) - [i150]Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han:
Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR abs/2203.15802 (2022) - [i149]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. CoRR abs/2204.03243 (2022) - [i148]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. CoRR abs/2204.13874 (2022) - [i147]Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. CoRR abs/2205.01845 (2022) - [i146]Yuning Mao, Ming Zhong, Jiawei Han:
CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation. CoRR abs/2205.06207 (2022) - [i145]Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han:
Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks. CoRR abs/2205.10282 (2022) - [i144]Jiaxin Huang, Tianqi Liu, Jialu Liu, Ádám D. Lelkes, Cong Yu, Jiawei Han:
All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass. CoRR abs/2205.10744 (2022) - [i143]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. CoRR abs/2206.02921 (2022) - [i142]Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han:
Unsupervised Key Event Detection from Massive Text Corpora. CoRR abs/2206.04153 (2022) - [i141]Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu:
TeKo: Text-Rich Graph Neural Networks with External Knowledge. CoRR abs/2206.07253 (2022) - [i140]