Publications

[Google Scholar | DBLP] (* Equal Contribution)

Book

• Phrase Mining from Massive Text and Its Applications
  Jialu Liu, Jingbo Shang and Jiawei Han. Morgan & Claypool Publishers, 2017.

2022

• SoTeacher: A Student-oriented Teacher Network Training Framework for Knowledge Distillation
  Chengyu Dong, Liyuan Liu and Jingbo Shang. arXiv:2206.06661.

• WeDef: Weakly Supervised Backdoor Defense for Text Classification
  Lesheng Jin, Zihan Wang and Jingbo Shang. arXiv:2205.11803.

• Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition
  Zihan Wang, Kewen Zhao, Zilong Wang and Jingbo Shang. arXiv:2205.11799.

• Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation
  Dheeraj Mekala, Tu Vu and Jingbo Shang. arXiv:2205.12604.

• LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification
  Dheeraj Mekala, Chengyu Dong and Jingbo Shang. arXiv:2205.12528.

• Fine-grained Contrastive Learning for Relation Extraction
  William Hogan, Jiacheng Li and Jingbo Shang. arXiv:2205.12491.

• DeepViFi: Detecting Oncoviral Infections in Cancer Genomes using Transformers
  Utkrisht Rajkumar, Sara Javadzadeh, Mihir Bafna, Dongxia Wu, Rose Yu, Jingbo Shang and Vineet Bafna. ACM-BCB 2022.

• Task-Aware Reconstruction for Time-Series Transformer
  Ranak Roy Chowdhury, Xiyuan Zhang, Jingbo Shang, Rajesh Gupta and Dezhi Hong. KDD 2022.

• FastViFi: Fast and accurate detection of (Hybrid) Viral DNA and RNA
  Sara Javadzadeh, Utkrisht Rajkumar, Nam Nguyen, Shahab Sarmashghi, Jens Luebeck, Jingbo Shang and Vineet Bafna. NAR Genomics and Bioinformatics (NARGAB), Volume 4, Issue 2, June 2022.

• Towards Comprehensive Patent Approval Predictions: Beyond Traditional Document Classification
  Xiaochen Kev Gao, Zhaoyi Hou, Yifei Ning, Kewen Zhao, Beilei He, Jingbo Shang and Vish Krishnan. ACL 2022.

• UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining
  Jiacheng Li, Jingbo Shang and Julian McAuley. ACL 2022.

• Phrase-aware Unsupervised Constituency Parsing
  Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang and Jiawei Han. ACL 2022.

• Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework
  Zilong Wang and Jingbo Shang. ACL (Findings) 2022.

• Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty
  Zi Lin, Jeremiah Zhe Liu and Jingbo Shang. ACL (Findings) 2022.

• Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns
  Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun and Jingbo Shang. ACL (Findings) 2022.

• OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision
  Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Dong, Jingbo Shang, Christos Faloutsos and Jiawei Han. WWW 2022.

• Unsupervised Deep Keyphrase Generation
  Xianjie Shen, Yinghan Wang, Rui Meng and Jingbo Shang. AAAI 2022. [arXiv:2104.08729] [code]

• ESC-GAN: Extending Spatial Coverage of Physical Sensors
  Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh Gupta and Dezhi Hong. WSDM 2022.

2021

• Double Descent in Adversarial Training: An Implicit Label Noise Perspective
  Chengyu Dong, Liyuan Liu and Jingbo Shang. arXiv:2110.03135.

• UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification
  Shuheng Li, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta and Dezhi Hong. SenSys 2021. [code]

• Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data
  Dheeraj Mekala, Varun Gangal and Jingbo Shang. EMNLP 2021.

• LayoutReader: Pre-training of Text and Layout for Reading Order Detection
  Zilong Wang, Yiheng Xu, Lei Cui, Jingbo Shang and Furu Wei. EMNLP 2021.

• “Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models
  Zihan Wang, Chengyu Dong and Jingbo Shang. EMNLP 2021. (short) [arXiv:2104.08673] [code]

• BFClass: A Backdoor-free Text Classification Framework
  Zichao Li, Dheeraj Mekala, Chengyu Dong and Jingbo Shang. EMNLP (Findings) 2021.

• UCPhrase: Unsupervised Context-aware Quality Phrase Tagging
  Xiaotao Gu*, Zihan Wang*, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han and Jingbo Shang. KDD 2021. [arXiv:2105.14078] [code]

• Weakly Supervised Named Entity Tagging with Learnable Logical Rules
  Jiacheng Li, Haibo Ding, Jingbo Shang, Julian McAuley and Zhe Feng. ACL 2021. [code]

• Sensei: Self-Supervised Sensor Name Segmentation
  Jiaman Wu, Dezhi Hong, Rajesh Gupta and Jingbo Shang. ACL (Findings) 2021. arXiv:2101.00130. [code]

• News Meets Microblog: Hashtag Annotation via Retriever-Generator
  Xiuwen Zheng, Dheeraj Mekala, Amarnath Gupta and Jingbo Shang. arXiv:2104.08723. [code]

• AutoName: A Corpus-Based Set Naming Framework.
  Zhiqi Huang, Razieh Rahimi, Puxuan Yu, Jingbo Shang and James Allan. SIGIR 2021 (short).

• X-Class: Text Classification with Extremely Weak Supervision
  Zihan Wang, Dheeraj Mekala and Jingbo Shang. NAACL 2021. [code]

• TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names
  Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren and Jiawei Han. NAACL 2021.

• Data Quality Matters For Adversarial Training: An Empirical Study
  Chengyu Dong, Liyuan Liu and Jingbo Shang. arXiv:2102.07437. [code]

• Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
  Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang and Jiawei Han. WWW 2021.

• “Misc”-Aware Weakly Supervised Aspect Classification
  Peiran Li*, Fang Guo* and Jingbo Shang. SDM 2021. [arXiv:2004.14555] [code]

2020

• Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
  Zichao Li*, Liyuan Liu*, Chengyu Dong and Jingbo Shang. arXiv:2010.08034. [code]

• META: Metadata-Empowered Weak Supervision for Text Classification
  Dheeraj Mekala, Xinyang Zhang and Jingbo Shang. EMNLP 2020. [code]

• SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
  Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren and Jiawei Han. EMNLP 2020.

• SeNsER: Learning Cross-Building Sensor Metadata Tagger
  Yang Jiao*, Jiacheng Li*, Jiaman Wu, Dezhi Hong, Rajesh Gupta and Jingbo Shang. EMNLP (Findings) 2020. [code]

• Towards Adaptive Residual Network Training: A Neural-ODE Perspective
  Chengyu Dong, Liyuan Liu, Zichao Li and Jingbo Shang. ICML 2020. [code]

• FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams
  Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat and Jiawei Han. ECMLPKDD 2020. [code]

• Contextualized Weak Supervision for Text Classification
  Dheeraj Mekala and Jingbo Shang. ACL 2020. [code]

• Empower Entity Set Expansion via Language Model Probing
  Yunyi Zhang, Jiaming Shen, Jingbo Shang and Jiawei Han. ACL 2020. [code]

• NetTaxo: Automated Topic Taxonomy Construction from Large-Scale Text-Rich Network
  Jingbo Shang*, Xinyang Zhang*, Liyuan Liu, Sha Li and Jiawei Han. WWW 2020. [code] [slides] [presentation video]

2019

• Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion
  Xuan Wang*, Yu Zhang*, Qi Li, Xiang Ren, Jingbo Shang and Jiawei Han. BIBM 2019. [code]
• CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
  Zihan Wang*, Jingbo Shang*, Liyuan Liu*, Lihao Lu, Jiacheng Liu and Jiawei Han. EMNLP 2019. [code]
• Arabic Named Entity Recognition: What Works and Whats Next
  Liyuan Liu, Jingbo Shang and Jiawei Han. WANLP 2019 (ACL workshop). [code]
• Integrating Local Context and Global Cohesiveness for Open Information Extraction
  Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky and Jiawei Han. WSDM 2019. [code]
• TopicMine: User-Guided Topic Mining by Category-Oriented Embedding
  Yu Meng, Jiaxin Huang, Zihan Wang, Chenyu Fan, Guangyuan Wang, Chao Zhang, Jingbo Shang, Lance Kaplan and Jiawei Han. KDD 2019 (demo).
• CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining
  Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jingbo Shang, Chao Zhang, Jiaming Shen, Lance Kaplan, Timothy Hanratty and Jiawei Han. KDD 2019 (demo).
• Raw-to-End Name Entity Recognition in Social Media
  Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang and Jiawei Han. arXiv:1908.05344. [code]

2018

• Learning Named Entity Tagger using Domain-Specific Dictionary
  Jingbo Shang*, Liyuan Liu*, Xiaotao Gu, Xiang Ren, Teng Ren and Jiawei Han. EMNLP 2018. [code]
• Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
  Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng and Jiawei Han. EMNLP 2018. [code]
• Investigating Rumor News Using Agreement-Aware Search
  Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Adam Lelkes, Cong Yu and Jiawei Han. CIKM 2018. [code]
• AutoNet: Automated Network Construction and Exploration System from Domain-Specific Corpora
  Jingbo Shang, Qi Zhu, Jiaming Shen, Xuan Wang, Xiaotao Gu, Lance Kaplan, Timothy Harratty and Jiawei Han. KDD 2018 (demo). [video]
• SetSearch+: Entity-Set-Aware Search and Mining for Scientific Literature
  Jiaming Shen, Jinfeng Xiao, Yu Zhang, Carl Yang, Jingbo Shang, Jinda Han, Saurabh Sinha, Peipei Ping, Richard Weinshilboum, Zhiyong Lu and Jiawei Han. KDD 2018 (demo).
• Automated Phrase Mining from Massive Text Corpora
  Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R Voss and Jiawei Han. TKDE 2018. [code]
• Empower Sequence Labeling with Task-Aware Neural Language Model
  Liyuan Liu, Jingbo Shang, Frank Xu, Xiang Ren, Huan Gui, Jian Peng and Jiawei Han. AAAI 2018. [code] [project page]
• DPPred: An Effective Prediction Framework with Concise Discriminative Patterns
  Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng and Jiawei Han. TKDE 2018. [code]
• Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
  Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz and Jiawei Han. Bioinformatics 2018. [code]
• Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach
  Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha and Jiawei Han. SIGIR 2018. [code]
• Open Information Extraction with Global Structure Constraints
  Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu and Jiawei Han. WWW 2018 (Best Poster Award runner-up).
• Contrast Subgraph Mining from Coherent Cores
  Jingbo Shang, Xiyao Shi, Meng Jiang, Liyuan Liu, Timothy Hanratty and Jiawei Han. arXiv:1802.06189. [code]

2017

• MetaPAD: Meta Pattern Discovery from Massive Text Corpora
  Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty and Jiawei Han. KDD 2017. [code]
• Detection of Complexes in Biological Networks via Diversified Dense Subgraphs Mining
  Xiuli Ma, Guangyu Zhou, Jingbo Shang, Jingjing Wang, Jian Peng and Jiawei Han. Computational Biology 2017.
• Stepwise Distributed Open Innovation Contests for Software Development-Acceleration of Genome-Wide Association Analysis
  Andrew Hill, Po-Ru Loh, Ragu B Bharadwaj, Pascal Pons, Jingbo Shang, Eva Guinan, Karim Lakhani, Iain Kilty and Scott A Jelinsky. GigaScience 2017.
• Detecting Multiple Periods and Periodic Patterns in Event Time Sequences
  Quan Yuan, Jingbo Shang, Xin Cao, Chao Zhang, Xinhe Geng and Jiawei Han. CIKM 2017
• An Attention-based Collaboration Framework for Multi-View Network Representation Learning
  Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang and Jiawei Han. CIKM 2017. [code]
• SetExpan: Corpus-based Set Expansion via Context Feature Selection and Rank Ensemble
  Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren and Jiawei Han. ECMLPKDD 2017. [code]

2016

• Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks
  Jingbo Shang*, Meng Qu*, Jialu Liu, Lance M. Kaplan, Jiawei Han and Jian Peng. arXiv:1610.09769 [code]
• Representing Documents via Latent Keyphrase Inference
  Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare Voss and Jiawei Han. WWW 2016. [code]
• Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis
  Hongkun Yu*, Jingbo Shang*, Meichun Hsu, Malú Castellanos and Jiawei Han. CIKM 2016.
• DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework
  Jingbo Shang, Wenzhu Tong, Jian Peng and Jiawei Han. SDM 2016. [code]
• MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance
  Jingbo Shang, Jian Peng and Jiawei Han. SDM 2016. [code]
• DWCox: A Density-Weighted COX Model for Outlier-Robust Prediction of Prostate Cancer Survival
  Jinfeng Xiao, Sheng Wang, Jingbo Shang, Henry Lin, Doris Xin, Xiang Ren, Jiawei Han and Jian Peng. F1000 Research 2016.
• Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients
  Qian Cheng, Jingbo Shang, Joshua Juen, Jiawei Han and Bruce Schatz. ACM-BCB 2016.

2015 and earlier

• Mining Quality Phrases from Massive Text Corpora
  Jialu Liu*, Jingbo Shang*, Chi Wang, Xiang Ren and Jiawei Han. SIGMOD 2015. [code]
• Detecting Urban Black Holes Based on Human Mobility Data
  Liang Hong, Yu Zheng, Duncan Yung, Jingbo Shang and Lei Zou. SIGSPATIAL 2015.
• Inferring gas consumption and pollution emission of vehicles throughout a city
  Jingbo Shang, Yu Zheng, Wenzhu Tong, Eric Chang and Yong Yu. KDD 2014.
• A Parallel and Efficient Algorithm for Learning to Match
  Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu and Yong Yu. ICDM 2014. [code] [short version]
• Constrained Question Recommendation in MOOCs via Submodularity
  Diyi Yang, Jingbo Shang and Carolyn Rose. CIKM 2014 (short).