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.

2024

• Large Language Models for Time Series: A Survey
  Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta and Jingbo Shang. IJCAI (survey track) 2024. [arXiv:2402.01801]
• Incubating Text Classifiers Following User Instruction with Nothing but LLM
  Letian Peng and Jingbo Shang. [arXiv:2404.10877]
• Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving
  Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner and Jingbo Shang. [arXiv:2404.07382]
• MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks
  Letian Peng, Zilong Wang, Feng Yao, Zihan Wang and Jingbo Shang. [arXiv:2404.00457]
• DocMaster: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering
  Alex Nguyen, Zilong Wang, Jingbo Shang and Dheeraj Mekala. NAACL (demo) 2024.
• READ: Improving Relation Extraction from an ADversarial Perspective
  Dawei Li, William P Hogan and Jingbo Shang. NAACL (Findings) 2024.
• LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step
  Lily Zhong, Zilong Wang and Jingbo Shang. [arXiv:2402.16906]
• ToolVerifier: Generalization to New Tools via Self-Verification
  Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang and Jane Dwivedi-Yu. [arXiv:2402.14158]
• Answer is All You Need: Instruction-following Text Embedding via Answering the Question
  Letian Peng*, Yuwei Zhang*, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang and Jingbo Shang. [arXiv:2402.09642]
• Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models
  Dheeraj Mekala*, Alex Nguyen* and Jingbo Shang. [arXiv:2402.10430]
• Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision
  Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu and Jingbo Shang. [arXiv:2402.02658]
• Learning a Decision Tree Algorithm with Transformers
  Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang and Jianfeng Gao. [arXiv:2402.03774]
• MemoryLLM: Towards Self-Updatable Large Language Models
  Yu Wang, Xiusi Chen, Jingbo Shang and Julian McAuley. [arXiv:2402.04624]
• Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation
  Prashant Krishnan, Zilong Wang, Yangkun Wang and Jingbo Shang. LREC-COLING 2024.
• How Few Davids Improve One Goliath: Federated Learning in Resource-Skew Edge Computing Environments
  Jiayun Zhang, Shuheng Li, Haiyu Huang, Zihan Wang, Xiaohan Fu, Dezhi Hong, Rajesh K. Gupta and Jingbo Shang. WWW 2024.
• Toward Student-oriented Teacher Network Training for Knowledge Distillation
  Chengyu Dong, Liyuan Liu and Jingbo Shang. ICLR 2024. [arXiv:2206.06661]
• Fast-ELECTRA for Efficient Pre-training
  Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao and Xiaodong Liu. ICLR 2024.
• Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
  Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee and Tomas Pfister. ICLR 2024.

2023

• OmniOutput: A Model-centric Evaluation Framework through Output Distribution
  Weitang Liu, Ying Wai Li, Tianle Wang, Yi-Zhuang You and Jingbo Shang. [arXiv:2312.03291]
• EmojiLM: Modeling the New Emoji Language
  Letian Peng, Zilong Wang, Hang Liu, Zihan Wang and Jingbo Shang. [arXiv:2311.01751]
• ClusterLLM: Large Language Models as a Guide for Text Clustering
  Yuwei Zhang, Zihan Wang and Jingbo Shang. EMNLP 2023.
• Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification
  Chengyu Dong, Zihan Wang and Jingbo Shang. EMNLP 2023.
• Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting
  William P Hogan, Jiacheng Li and Jingbo Shang. EMNLP 2023.
• Goal-Driven Explainable Clustering via Language Descriptions
  Zihan Wang, Jingbo Shang and Ruiqi Zhong. EMNLP 2023.
• SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank
  Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong and Jingbo Shang. EMNLP (Findings) 2023.
• Less than One-shot: Named Entity Recognition via Extremely Weak Supervision
  Letian Peng, Zihan Wang and Jingbo Shang. EMNLP (Findings) 2023.
• Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path
  Zilong Wang and Jingbo Shang. EMNLP (Findings) 2023.
• Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty
  Zi Lin, Quan Yuan, Panupong Pasupat, Jeremiah Zhe Liu and Jingbo Shang. EMNLP (Findings) 2023.
• ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation
  Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang and Jingbo Shang. EMNLP (Findings) 2023.
• Physics-Informed Data Denoising for Real-Life Sensing Systems
  Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang and Rajesh Gupta. SenSys 2023.
• A Comparative Atlas of Single-cell Chromatin Accessibility in the Human Brain
  Yang Eric Li, Sebastian Preissl, Michael Miller, Nicholas D. Johnson, Zihan Wang, Henry Jiao, Chenxu Zhu, Zhaoning Wang, Yang Xie, Olivier Poirion, Colin Kern, Antonio Pinto-Duarte, Wei Tian, Kimberly Siletti, Nora Emerson, Julia Osteen, Jacinta Lucero, Lin Lin, Qian Yang, Quan Zhu, Sarah Espinoza, Anna Marie Yanny, Julie Nyhus, Nick Dee, Tamara Casper, Nadiya Shapovalova, Daniel Hirschstein, Rebecca D. Hodge, Sten Linnarsson, Trygve Bakken, Boaz Levi, C. Dirk Keene, Jingbo Shang, Ed S. Lein, Allen Wang, M. Margarita Behrens, Joseph R. Ecker and Bing Ren. Science 2023. [bioRxiv]
• WOT-Class: Weakly Supervised Open-world Text Classification
  Tianle Wang, Zihan Wang, Weitang Liu and Jingbo Shang. CIKM 2023. [arXiv:2305.12401]
• Unleashing the Power of Shared Label Structures for Human Activity Recognition
  Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh Gupta and Jingbo Shang. CIKM 2023. [arXiv:2301.03462]
• Learning Concise and Descriptive Attributes for Visual Recognition
  An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian McAuley. ICCV 2023. [arxiv:2308.03685]
• Navigating Alignment For Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework
  Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta and Jingbo Shang. KDD 2023. [arxiv:2301.00489] [code] [video]
• UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation
  Jiacheng Li, Zhankui He, Jingbo Shang and Julian McAuley. KDD 2023. [arxiv:2209.13885]
• Text Is All You Need: Learning Language Representations for Sequential Recommendation
  Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang and Julian McAuley. KDD 2023. [arxiv:2305.13731]
• Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach
  Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang and Jinho D. Choi. ACL 2023.
• A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches
  Zihan Wang, Tianle Wang, Dheeraj Mekala and Jingbo Shang. ACL (Findings) 2023. [code]
• Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
  Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun and Wei Wang. ACL (Findings) 2023.
• PV2TEA: Patching Visual Modality to Textual-Established Product Attribute Extraction
  Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang and Xian Li. ACL (Findings) 2023.
• Gradient-based Wang–Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space
  Weitang Liu, Yi-Zhuang You, Ying Wai Li and Jingbo Shang. ICML 2023. [arXiv:2302.09484] [code]
• Understand and Modularize Generator Optimization in ELECTRA-style Pretraining
  Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao and Xiaodong Liu. ICML 2023.
• Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework
  Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh Gupta and Jingbo Shang. IJCAI 2023. [code]
• Towards Diverse and Coherent Augmentation for Time-Series Forecasting
  Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh Gupta and Dezhi Hong. ICASSP 2023.
• On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
  Zi Lin, Jeremiah Zhe Liu, Du Phan, Panupong Pasupat and Jingbo Shang. ICLR 2023. [code]
• PrimeNet: Pre-training for Irregular Multivariate Time Series
  Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh Gupta and Jingbo Shang. AAAI 2023. [code]

2022

• Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform
  Yufan Zhuang, Zihan Wang, Fangbo Tao and Jingbo Shang. arXiv:2210.01989.
• Leveraging QA Datasets to Improve Generative Data Augmentation
  Dheeraj Mekala, Tu Vu, Timo Schick and Jingbo Shang. EMNLP 2022. [arXiv:2205.12604] [code]
• Fine-grained Contrastive Learning for Relation Extraction
  William Hogan, Jiacheng Li and Jingbo Shang. EMNLP 2022. [arXiv:2205.12491] [code]
• Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification
  Zi Lin, Jeremiah Liu and Jingbo Shang. EMNLP 2022. [code]
• WeDef: Weakly Supervised Backdoor Defense for Text Classification
  Lesheng Jin, Zihan Wang and Jingbo Shang. EMNLP 2022. [arXiv:2205.11803] [code]
• MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding
  Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang and Vlad I. Morariu. EMNLP 2022.
• 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. EMNLP (Findings) 2022. [arXiv:2205.11799] [code]
• LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification
  Dheeraj Mekala, Chengyu Dong and Jingbo Shang. EMNLP (Findings) 2022. [arXiv:2205.12528] [code]
• Progressive Sentiment Analysis for Code-Switched Text Data
  Sudhanshu Ranjan, Dheeraj Mekala and Jingbo Shang. EMNLP (Findings) 2022. [code]
• Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
  Chengyu Dong, Liyuan Liu and Jingbo Shang. NeurIPS 2022. (selected as oral) [arXiv:2110.03135]
• SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification
  Shuheng Li, Dezhi Hong, Jingbo Shang and Rajesh Gupta. SenSys 2022.
• 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. [code]
• Task-Aware Reconstruction for Time-Series Transformer
  Ranak Roy Chowdhury, Xiyuan Zhang, Jingbo Shang, Rajesh Gupta and Dezhi Hong. KDD 2022. [code]
• 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. [code]
• 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. [code]
• 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. [code]
• Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty
  Zi Lin, Jeremiah Zhe Liu and Jingbo Shang. ACL (Findings) 2022. [code]
• 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. [code]

2021

• 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. [code]
• 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).