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ORCIDJingbo Shang
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2020 – today
- 2021
[i27]Jiaman Wu, Dezhi Hong, Rajesh E. Gupta, Jingbo Shang:
Sensei: Self-Supervised Sensor Name Segmentation. CoRR abs/2101.00130 (2021)- [i26]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Data Profiling for Adversarial Training: On the Ruin of Problematic Data. CoRR abs/2102.07437 (2021) - [i25]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) - 2020
- [c35]Dheeraj Mekala, Jingbo Shang:
Contextualized Weak Supervision for Text Classification. ACL 2020: 323-333 - [c34]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. ACL 2020: 8151-8160 - [c33]Yang Jiao, Jiacheng Li, Jiaman Wu, Dezhi Hong, Rajesh E. Gupta, Jingbo Shang:
SeNsER: Learning Cross-Building Sensor Metadata Tagger. EMNLP (Findings) 2020: 950-960 - [c32]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 - [c31]Dheeraj Mekala, Xinyang Zhang, Jingbo Shang:
META: Metadata-Empowered Weak Supervision for Text Classification. EMNLP (1) 2020: 8351-8361 - [c30]Chengyu Dong, Liyuan Liu, Zichao Li, Jingbo Shang:
Towards Adaptive Residual Network Training: A Neural-ODE Perspective. ICML 2020: 2616-2626 - [c29]Meng Jiang, Jingbo Shang:
Scientific Text Mining and Knowledge Graphs. KDD 2020: 3537-3538 - [c28]Jingbo Shang, Xinyang Zhang, Liyuan Liu, Sha Li, Jiawei Han:
NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network. WWW 2020: 1908-1919 - [i24]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. CoRR abs/2004.13897 (2020) - [i23]Peiran Li, Fang Guo, Jingbo Shang:
User-Guided Aspect Classification for Domain-Specific Texts. CoRR abs/2004.14555 (2020) - [i22]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) - [i21]Zichao Li, Liyuan Liu, Chengyu Dong, Jingbo Shang:
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training. CoRR abs/2010.08034 (2020) - [i20]Zihan Wang, Dheeraj Mekala, Jingbo Shang:
X-Class: Text Classification with Extremely Weak Supervision. CoRR abs/2010.12794 (2020)
2010 – 2019
- 2019
- [j5]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) - [j4]Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han:
TextCube: Automated Construction and Multidimensional Exploration. Proc. VLDB Endow. 12(12): 1974-1977 (2019) - [c27]Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, Jiawei Han:
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. BIBM 2019: 496-503 - [c26]Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han:
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. EMNLP/IJCNLP (1) 2019: 5153-5162 - [c25]Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han:
Constructing and Mining Heterogeneous Information Networks from Massive Text. KDD 2019: 3191-3192 - [c24]Liyuan Liu, Jingbo Shang, Jiawei Han:
Arabic Named Entity Recognition: What Works and What's Next. WANLP@ACL 2019 2019: 60-67 - [c23]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. WSDM 2019: 42-50 - [i19]Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han:
Raw-to-End Name Entity Recognition in Social Media. CoRR abs/1908.05344 (2019) - [i18]Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han:
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. CoRR abs/1909.01441 (2019) - [i17]Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han:
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR abs/1910.01451 (2019) - [i16]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. CoRR abs/1910.04345 (2019) - [i15]Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han:
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. CoRR abs/1910.08192 (2019) - 2018
- [j3]Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han:
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. IEEE Trans. Knowl. Data Eng. 30(7): 1226-1239 (2018) - [j2]Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han:
Automated Phrase Mining from Massive Text Corpora. IEEE Trans. Knowl. Data Eng. 30(10): 1825-1837 (2018) - [c22]Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. AAAI 2018: 5253-5260 - [c21]Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han:
Investigating Rumor News Using Agreement-Aware Search. CIKM 2018: 2117-2125 - [c20]Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. EMNLP 2018: 1215-1225 - [c19]Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. EMNLP 2018: 2054-2064 - [c18]Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han:
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. SIGIR 2018: 565-574 - [c17]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Open Information Extraction with Global Structure Constraints. WWW (Companion Volume) 2018: 57-58 - [i14]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. CoRR abs/1801.09851 (2018) - [i13]Jingbo Shang, Xiyao Shi, Meng Jiang, Liyuan Liu, Timothy P. Hanratty, Jiawei Han:
Contrast Subgraph Mining from Coherent Cores. CoRR abs/1802.06189 (2018) - [i12]Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han:
Investigating Rumor News Using Agreement-Aware Search. CoRR abs/1802.07398 (2018) - [i11]Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. CoRR abs/1804.07827 (2018) - [i10]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. CoRR abs/1804.09931 (2018) - [i9]Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han:
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. CoRR abs/1804.10877 (2018) - [i8]Jingbo Shang, Liyuan Liu, Xiang Ren, Xiaotao Gu, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. CoRR abs/1809.03599 (2018) - 2017
- [b1]Jialu Liu, Jingbo Shang, Jiawei Han:
Phrase Mining from Massive Text and Its Applications. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2017 - [j1]Xiuli Ma, Guangyu Zhou, Jingbo Shang, Jingjing Wang, Jian Peng, Jiawei Han:
Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining. J. Comput. Biol. 24(9): 923-941 (2017) - [c16]Quan Yuan, Jingbo Shang, Xin Cao, Chao Zhang, Xinhe Geng, Jiawei Han:
Detecting Multiple Periods and Periodic Patterns in Event Time Sequences. CIKM 2017: 617-626 - [c15]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CIKM 2017: 1767-1776 - [c14]Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. KDD 2017: 877-886 - [c13]Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han:
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. ECML/PKDD (1) 2017: 288-304 - [c12]Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han:
Building Structured Databases of Factual Knowledge from Massive Text Corpora. SIGMOD Conference 2017: 1741-1745 - [c11]Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han:
Constructing Structured Information Networks from Massive Text Corpora. WWW (Companion Volume) 2017: 951-954 - [i7]Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han:
Automated Phrase Mining from Massive Text Corpora. CoRR abs/1702.04457 (2017) - [i6]Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. CoRR abs/1703.04213 (2017) - [i5]Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. CoRR abs/1709.04109 (2017) - [i4]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CoRR abs/1709.06636 (2017) - 2016
- [c10]Qian Cheng, Jingbo Shang, Joshua Juen, Jiawei Han, Bruce R. Schatz:
Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients. BCB 2016: 41-49 - [c9]Hongkun Yu, Jingbo Shang, Meichun Hsu, Malú Castellanos, Jiawei Han:
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis. CIKM 2016: 939-948 - [c8]Jingbo Shang, Jian Peng, Jiawei Han:
MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance. SDM 2016: 558-566 - [c7]Jingbo Shang, Wenzhu Tong, Jian Peng, Jiawei Han:
DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework. SDM 2016: 567-575 - [c6]Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han:
Representing Documents via Latent Keyphrase Inference. WWW 2016: 1057-1067 - [i3]Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng:
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks. CoRR abs/1610.09769 (2016) - [i2]Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han:
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. CoRR abs/1610.09778 (2016) - 2015
- [c5]Liang Hong, Yu Zheng, Duncan Yung, Jingbo Shang, Lei Zou:
Detecting urban black holes based on human mobility data. SIGSPATIAL/GIS 2015: 35:1-35:10 - [c4]Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, Jiawei Han:
Mining Quality Phrases from Massive Text Corpora. SIGMOD Conference 2015: 1729-1744 - 2014
- [c3]Diyi Yang, Jingbo Shang, Carolyn Penstein Rosé:
Constrained Question Recommendation in MOOCs via Submodularity. CIKM 2014: 1987-1990 - [c2]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. ICDM 2014: 971-976 - [c1]Jingbo Shang, Yu Zheng, Wenzhu Tong, Eric Chang, Yong Yu:
Inferring gas consumption and pollution emission of vehicles throughout a city. KDD 2014: 1027-1036 - [i1]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. CoRR abs/1410.6414 (2014)
Coauthor Index
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