A selection of my publications, sorted by time.
Looking for full? Please visit [Google Scholar] or [DBLP].

Under Review Preprints

  1. Jingbo Shang, Xiyao Shi, Meng Jiang, Liyuan Liu, Timothy Hanratty, Jiawei Han, “Contrast Subgraph Mining from Coherent Cores”, submitted to VLDB 2019, under review. [code]
  2. Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, and Jian Peng, “Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks”, to be submitted. [code]

Selected Publications

  1. Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren and Jiawei Han, “Learning Named Entity Tagger using Domain-Specific Dictionary”, in Proc. of 2018 Conf. on Empirical Methods in Natural Language Processing (EMNLP’18), Brussels, Belgium, Oct. 2018. [code]
  2. Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng and Jiawei Han, “Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling”, in Proc. of 2018 Conf. on Empirical Methods in Natural Language Processing (EMNLP’18), Brussels, Belgium, Oct. 2018. [code]
  3. Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Adam Lelkes, Cong Yu, Jiawei Han, “Investigating Rumor News Using Agreement-Aware Search”, in Proc. of 2018 ACM Int. Conf. on Information and Knowledge Management (CIKM’18), Turin, Italy, Oct. 2018. [code]
  4. Jingbo Shang, Qi Zhu, Jiaming Shen, Xuan Wang, Xiaotao Gu, Lance Kaplan, Timothy Harratty and Jiawei Han, “AutoNet: Automated Network Construction and Exploration System from Domain-Specific Corpora”, in Proc. of 2018 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’18), (demo paper), London, UK, August 2018. [video]
  5. Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R Voss, Jiawei Han, “Automated Phrase Mining from Massive Text Corpora”, accepted by IEEE Transactions on Knowledge and Data Engineering, Feb. 2018. [code]
  6. Liyuan Liu, Jingbo Shang, Frank Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han, “Empower Sequence Labeling with Task-Aware Neural Language Model”, in Proc. of 2018 AAAI Conf. on Artificial Intelligence (AAAI’18), New Orleans, LA, Feb. 2018. [code][project page]
  7. Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, and Jiawei Han, “DPPred: An Effective Prediction Framework with Concise Discriminative Patterns”, accepted by IEEE Transactions on Knowledge and Data Engineering, Sept. 2017. [code].
  8. Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han “MetaPAD: Meta Pattern Discovery from Massive Text Corpora” In Proceedings of the 23rd ACM SIGKDD international conference on Knowledge discovery and data mining (SIGKDD 2017), 2017. [code]
  9. Jialu Liu, Jingbo Shang and Jiawei Han, “Phrase Mining from Massive Text and Its Applications”, Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2017.
  10. Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare Voss and Jiawei Han, “Representing Documents via Latent Keyphrase Inference”, Proc. of the 25th Int. Conf. on World Wide Web (WWW’16), Montreal, Canada, April 2016. [code] [slides]
  11. Hongkun Yu*, Jingbo Shang*, Meichun Hsu, Malú Castellanos and Jiawei Han, “Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis”, Proc. of 2016 ACM Int. Conf. on Information and Knowledge Management (CIKM’16), Indianapolis, IN, Oct. 2016 (* equally contributed) [slides]
  12. Jingbo Shang, Wenzhu Tong, Jian Peng, and Jiawei Han, “DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework”, In Proceedings of 2016 SIAM International Conference on Data Mining (SDM 2016), 2016. [code] [slides]
  13. Jingbo Shang, Jian Peng, and Jiawei Han, “MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance”, In Proceedings of 2016 SIAM International Conference on Data Mining (SDM 2016), 2016. [code] [sides] [supplementary]
  14. Jialu Liu*, Jingbo Shang*, Chi Wang, Xiang Ren and Jiawei Han, “Mining Quality Phrases from Massive Text Corpora”, Proc. of 2015 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD’15), Melbourne, Australia, May 2015. (* equally contributed) [code] [slides]
  15. Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu. “A Parallel and Efficient Algorithm for Learning to Match”. In Proceedings of IEEE International Conference on Data Mining (ICDM 2014), 2014. [code] [slides] [short version]
  16. Jingbo Shang, Yu Zheng, Wenzhu Tong, Eric Chang, Yong Yu. “Inferring gas consumption and pollution emission of vehicles throughout a city”. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (SIGKDD 2014), 2014. [data]

Conference Tutorials

  1. Jingbo Shang, Chao Zhang, Jiaming Shen, Jiawei Han, “Towards Multidimensional Analysis of Text Corpora”, Proc. of 2018 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’18), (Conference Tutorial), London, UK, Aug. 2018.
  2. Jingbo Shang, Xiang Ren, Meng Jiang, and Jiawei Han, “Mining Entity-Relation-Attribute Structures from Massive Text Data”, Proc. of 2017 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’17), Halifax, Nova Scotia, Canada, August 2017.
  3. Xiang Ren, Meng Jiang, Jingbo Shang and Jiawei Han, “Building Structured Databases of Factual Knowledge from Massive Text Corpora”, Proc. of 2017 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD’17), June 2017.
  4. Xiang Ren, Meng Jiang, Jingbo Shang and Jiawei Han, “Constructing Structured Information Networks from Massive Text Corpora”, Proc. of 2017 World-Wide Web Conf. (WWW’17), Perth, Australia, Apr. 2017.