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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://dblp1.uni-trier.de/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
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2020 – today
- 2021
[c691]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. ACL/IJCNLP (Findings) 2021: 344-350- [c690]Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han:
Training ELECTRA Augmented with Multi-word Selection. ACL/IJCNLP (Findings) 2021: 2475-2486 - [c689]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-Domain Question Answering. ACL/IJCNLP (1) 2021: 4089-4100 - [c688]Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han:
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. ICLR 2021 - [c687]Carl Yang, Jieyu Zhang, Jiawei Han:
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). IJCAI 2021: 4859-4863 - [c686]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. KDD 2021: 478-486 - [c685]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. KDD 2021: 4052-4053 - [c684]Jinfeng Xiao, Lidan Wang, Franck Dernoncourt, Trung Bui, Tong Sun, Jiawei Han:
Open-Domain Question Answering with Pre-Constructed Question Spaces. NAACL-HLT (Student Research Workshop) 2021: 61-67 - [c683]Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth:
Event Time Extraction and Propagation via Graph Attention Networks. NAACL-HLT 2021: 62-73 - [c682]Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) 2021: 66-77 - [c681]Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji:
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. NAACL-HLT (Demonstrations) 2021: 133-143 - [c680]Sha Li, Heng Ji, Jiawei Han:
Document-Level Event Argument Extraction by Conditional Generation. NAACL-HLT 2021: 894-908 - [c679]Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han:
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. NAACL-HLT 2021: 4239-4249 - [c678]Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han:
On the Transformer Growth for Progressive BERT Training. NAACL-HLT 2021: 5174-5180 - [c677]Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han:
SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. SDM 2021: 477-485 - [c676]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. WSDM 2021: 157-165 - [c675]Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han:
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. WSDM 2021: 770-778 - [c674]Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han:
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. WWW 2021: 3246-3257 - [c673]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. WWW 2021: 3258-3268 - [i125]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. CoRR abs/2101.00294 (2021) - [i124]Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han:
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. CoRR abs/2102.07349 (2021) - [i123]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. CoRR abs/2102.08473 (2021) - [i122]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. CoRR abs/2102.11479 (2021) - [i121]Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han:
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR abs/2104.03682 (2021) - [i120]Sha Li, Heng Ji, Jiawei Han:
Document-Level Event Argument Extraction by Conditional Generation. CoRR abs/2104.05919 (2021) - [i119]Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss:
Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction. CoRR abs/2104.06344 (2021) - [i118]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. CoRR abs/2105.14078 (2021) - [i117]Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han:
Training ELECTRA Augmented with Multi-word Selection. CoRR abs/2106.00139 (2021) - [i116]Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han:
Eider: Evidence-enhanced Document-level Relation Extraction. CoRR abs/2106.08657 (2021) - [i115]Liyuan Liu, Jialu Liu, Jiawei Han:
Multi-head or Single-head? An Empirical Comparison for Transformer Training. CoRR abs/2106.09650 (2021) - [i114]Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. CoRR abs/2108.01099 (2021) - [i113]Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han:
Corpus-based Open-Domain Event Type Induction. CoRR abs/2109.03322 (2021) - [i112]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 abs/2109.05003 (2021) - [i111]Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke:
Chemical-Reaction-Aware Molecule Representation Learning. CoRR abs/2109.09888 (2021) - [i110]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. CoRR abs/2109.12093 (2021) - [i109]Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan:
Entity Linking Meets Deep Learning: Techniques and Solutions. CoRR abs/2109.12520 (2021) - [i108]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. CoRR abs/2110.07577 (2021) - [i107]Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han:
Fine-Grained Opinion Summarization with Minimal Supervision. CoRR abs/2110.08845 (2021) - 2020
- [j194]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): 145-174 (2020) - [j193]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts. Frontiers Big Data 3: 9 (2020) - [j192]Chanyoung Park, Jiawei Han, Hwanjo Yu:
Deep multiplex graph infomax: Attentive multiplex network embedding using global information. Knowl. Based Syst. 197: 105861 (2020) - [j191]Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open J. Comput. Soc. 1: 155-172 (2020) - [c672]Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. AAAI 2020: 5371-5378 - [c671]Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li, David Liem, Dibakar Sigdel, John Caufield, Peipei Ping, Jiawei Han:
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences. ACL (demo) 2020: 56-62 - [c670]Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Summarization. ACL 2020: 4941-4957 - [c669]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. ACL 2020: 8151-8160 - [c668]Xuan Wang, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li, Jiawei Han:
Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature. BIBM 2020: 491-494 - [c667]Xuan Wang, Yingjun Guan, Yu Zhang, Qi Li, Jiawei Han:
Pattern-enhanced Named Entity Recognition with Distant Supervision. IEEE BigData 2020: 818-827 - [c666]Xuan Wang, Yu Zhang, Aabhas Chauhan, Qi Li, Jiawei Han:
Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding. IEEE BigData 2020: 828-837 - [c665]Carl Yang, Liyuan Liu, Mengxiong Liu, Zongyi Wang, Chao Zhang, Jiawei Han:
Graph Clustering with Embedding Propagation. IEEE BigData 2020: 858-867 - [c664]Jiaming Shen, Heng Ji, Jiawei Han:
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. EMNLP (1) 2020: 303-313 - [c663]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. EMNLP (1) 2020: 1737-1751 - [c662]Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han:
Understanding the Difficulty of Training Transformers. EMNLP (1) 2020: 5747-5763 - [c661]Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han:
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. EMNLP (1) 2020: 6989-6999 - [c660]Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han:
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. EMNLP (1) 2020: 8292-8307 - [c659]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. EMNLP (1) 2020: 9006-9017 - [c658]Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han:
Mining Text Outliers in Document Directories. ICDM 2020: 152-161 - [c657]Carl Yang, Jieyu Zhang, Jiawei Han:
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. ICDM 2020: 721-730 - [c656]Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han:
On the Variance of the Adaptive Learning Rate and Beyond. ICLR 2020 - [c655]Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han:
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation. IJCAI 2020: 1303-1309 - [c654]Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He:
A Data-Driven Graph Generative Model for Temporal Interaction Networks. KDD 2020: 401-411 - [c653]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. KDD 2020: 1435-1445 - [c652]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han:
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. KDD 2020: 1908-1917 - [c651]Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han:
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. KDD 2020: 1928-1936 - [c650]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD 2020: 2247-2257 - [c649]Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec:
MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. KDD 2020: 2434-2443 - [c648]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [c647]Yu Meng, Jiaxin Huang, Jiawei Han:
Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. KDD 2020: 3573-3574 - [c646]Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han:
FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams. ECML/PKDD (3) 2020: 617-632 - [c645]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. SIGIR 2020: 1231-1240 - [c644]Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han:
Joint Aspect-Sentiment Analysis with Minimal User Guidance. SIGIR 2020: 1241-1250 - [c643]Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han:
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. SIGIR 2020: 1629-1632 - [c642]Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. WSDM 2020: 510-518 - [c641]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myungwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. WSDM 2020: 699-707 - [c640]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. WWW 2020: 486-497 - [c639]Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski:
Generating Representative Headlines for News Stories. WWW 2020: 1773-1784 - [c638]Jingbo Shang, Xinyang Zhang, Liyuan Liu, Sha Li, Jiawei Han:
NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network. WWW 2020: 1908-1919 - [c637]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: 2121-2132 - [c636]Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han:
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. WWW 2020: 2188-2198 - [c635]Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han:
Collective Multi-type Entity Alignment Between Knowledge Graphs. WWW 2020: 2241-2252 - [i106]Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. CoRR abs/2001.00132 (2020) - [i105]Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski:
Generating Representative Headlines for News Stories. CoRR abs/2001.09386 (2020) - [i104]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. CoRR abs/2001.09522 (2020) - [i103]Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han:
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. CoRR abs/2001.10106 (2020) - [i102]Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han:
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. CoRR abs/2002.00841 (2020) - [i101]Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, Jiawei Han:
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision. CoRR abs/2003.12218 (2020) - [i100]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. CoRR abs/2004.00216 (2020) - [i99]Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han:
Understanding the Difficulty of Training Transformers. CoRR abs/2004.08249 (2020) - [i98]Xuan Wang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Jiawei Han:
Automatic Textual Evidence Mining in COVID-19 Literature. CoRR abs/2004.12563 (2020) - [i97]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. CoRR abs/2004.13897 (2020) - [i96]Shi Zhi, Liyuan Liu, Yu Zhang, Shiyin Wang, Qi Li, Chao Zhang, Jiawei Han:
Partially-Typed NER Datasets Integration: Connecting Practice to Theory. CoRR abs/2005.00502 (2020) - [i95]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. CoRR abs/2005.00624 (2020) - [i94]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. CoRR abs/2006.04239 (2020) - [i93]Jinfeng Xiao, Lidan Wang, Franck Dernoncourt, Trung Bui, Tong Sun, Jiawei Han:
Open-Domain Question Answering with Pre-Constructed Question Spaces. CoRR abs/2006.08337 (2020) - [i92]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR abs/2006.10276 (2020) - [i91]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i90]Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. CoRR abs/2007.00576 (2020) - [i89]Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-paths. CoRR abs/2007.02643 (2020) - [i88]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han:
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. CoRR abs/2007.09536 (2020) - [i87]Qi Zhu, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han, Carl Yang:
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. CoRR abs/2009.05204 (2020) - [i86]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-domain Question Answering. CoRR abs/2009.08553 (2020) - [i85]Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han:
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. CoRR abs/2009.13827 (2020) - [i84]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. CoRR abs/2010.00117 (2020) - [i83]Jiaming Shen, Heng Ji, Jiawei Han:
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. CoRR abs/2010.00677 (2020) - [i82]Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han:
A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. CoRR abs/2010.01986 (2020) - [i81]Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han:
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. CoRR abs/2010.06705 (2020) - [i80]Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han:
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. CoRR abs/2010.06714 (2020) - [i79]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. CoRR abs/2010.07245 (2020) - [i78]Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen:
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. CoRR abs/2010.08670 (2020) - [i77]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks. CoRR abs/2010.12157 (2020) - [i76]Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han:
On the Transformer Growth for Progressive BERT Training. CoRR abs/2010.12562 (2020) - [i75]Yuning Mao, Xiang Ren, Heng Ji, Jiawei Han:
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation. CoRR abs/2010.12723 (2020) - [i74]Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han:
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. CoRR abs/2010.13556 (2020) - [i73]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: A Comprehensive Study. CoRR abs/2012.14978 (2020)
2010 – 2019
- 2019
- [b10]Chao Zhang, Jiawei Han:
Multidimensional Mining of Massive Text Data. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2019 - [j190]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz, Jiawei Han:
Cross-type biomedical named entity recognition with deep multi-task learning. Bioinform. 35(10): 1745-1752 (2019) - [j189]Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han:
TextCube: Automated Construction and Multidimensional Exploration. Proc. VLDB Endow. 12(12): 1974-1977 (2019) - [c634]Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. AAAI 2019: 249-256 - [c633]Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Hierarchical Text Classification. AAAI 2019: 6826-6833 - [c632]Ying Lin, Liyuan Liu, Heng Ji,