| 2026 | ACL | Deriving Character Logic from Storyline as Codified Decision Trees. | Letian Peng, Kun Zhou, Longfei Yun, Yupeng Hou, Jingbo Shang |
| 2026 | ACL | SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes. | Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, Junda Wu, Chengkai Huang, Lina Yao, Julian J. McAuley, Jingbo Shang |
| 2026 | ACL | Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection. | Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang |
| 2026 | ACL | PersonaAgent: Bridging Memory and Action for Personalized LLM Agents. | Weizhi Zhang, Xinyang Zhang, Chenwei Zhang, Liangwei Yang, Jingbo Shang, Zhepei Wei, Henry Peng Zou, Zijie Huang, Zhengyang Wang, Yifan Gao, Xiaoman Pan, Lian Xiong, Jingguo Liu, Philip S. Yu, Xian Li |
| 2025 | AAAI | ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition. | Ranak Roy Chowdhury, Ritvik Kapila, Ameya Panse, Xiyuan Zhang, Diyan Teng, Rashmi Kulkarni, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2025 | ACL | Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest. | Letian Peng, Zilong Wang, Feng Yao, Jingbo Shang |
| 2025 | ACL | Direct Prompt Optimization with Continuous Representations. | Yangkun Wang, Zihan Wang, Jingbo Shang |
| 2025 | ACL | Self-Taught Agentic Long Context Understanding. | Yufan Zhuang, Xiaodong Yu, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Jingbo Shang, Zicheng Liu, Emad Barsoum |
| 2025 | EMNLP | Can Language Models Follow Multiple Turns of Entangled Instructions? | Chi Han, Xin Liu, Haodong Wang, Shiyang Li, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Qingyu Yin, Liang Qiu, Changlong Yu, Yifan Gao, Zheng Li, Bing Yin, Jingbo Shang, Heng Ji |
| 2025 | EMNLP | VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM. | Lesheng Jin, Zhenyuan Ruan, Haohui Mai, Jingbo Shang |
| 2025 | EMNLP | Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning. | Xintong Li, Jalend Bantupalli, Ria Dharmani, Yuwei Zhang, Jingbo Shang |
| 2025 | EMNLP | CoMMIT: Coordinated Multimodal Instruction Tuning. | Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian J. McAuley, Jingbo Shang |
| 2025 | EMNLP | Train a Unified Multimodal Data Quality Classifier with Synthetic Data. | Weizhi Wang, Rongmei Lin, Shiyang Li, Colin Lockard, Ritesh Sarkhel, Sanket Lokegaonkar, Jingbo Shang, Xifeng Yan, Nasser Zalmout, Xian Li |
| 2025 | EMNLP | Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. | Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | EMNLP | The Price of Format: Diversity Collapse in LLMs. | Longfei Yun, Chenyang An, Zilong Wang, Letian Peng, Jingbo Shang |
| 2025 | EMNLP | ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation. | Longfei Yun, Letian Peng, Jingbo Shang |
| 2025 | EMNLP | Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics. | Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley |
| 2025 | ICLR | Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. | Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister |
| 2025 | ICLR | Correlation and Navigation in the Vocabulary Key Representation Space of Language Models. | Letian Peng, Chenyang An, Jingbo Shang |
| 2025 | ICLR | OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. | Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | ICLR | Vector-ICL: In-context Learning with Continuous Vector Representations. | Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao |
| 2025 | NAACL | Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction. | William Hogan, Jingbo Shang |
| 2025 | NAACL | ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations. | Yichuan Li, Xinyang Zhang, Chenwei Zhang, Mao Li, Tianyi Liu, Pei Chen, Yifan Gao, Kyumin Lee, Kaize Ding, Zhengyang Wang, Zhihan Zhang, Jingbo Shang, Xian Li, Trishul Chilimbi |
| 2025 | SENSYS | Matching Skeleton-based Activity Representations with Heterogeneous Signals for HAR. | Shuheng Li, Jiayun Zhang, Xiaohan Fu, Xiyuan Zhang, Jingbo Shang, Rajesh K. Gupta |
| 2024 | ACL | 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, Jingbo Shang |
| 2024 | ACL | Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. | Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang |
| 2024 | ACL | Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models. | Dheeraj Mekala, Alex Nguyen, Jingbo Shang |
| 2024 | ACL | 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, Jingbo Shang |
| 2024 | ACL | Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation. | Letian Peng, Yuwei Zhang, Jingbo Shang |
| 2024 | ACL | Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning. | Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang |
| 2024 | ACL | Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products. | Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang H. Nguyen, Philip S. Yu |
| 2024 | ACL | Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step. | Li Zhong, Zilong Wang, Jingbo Shang |
| 2024 | ACL | Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. | Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang |
| 2024 | COLING | Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation. | Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang |
| 2024 | EMNLP | Open-world Multi-label Text Classification with Extremely Weak Supervision. | Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang |
| 2024 | EMNLP | TOOLVERIFIER: Generalization to New Tools via Self-Verification. | Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu |
| 2024 | EMNLP | Incubating Text Classifiers Following User Instruction with Nothing but LLM. | Letian Peng, Zilong Wang, Jingbo Shang |
| 2024 | EMNLP | Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. | Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang |
| 2024 | EMNLP | 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, Jingbo Shang |
| 2024 | EMNLP | Data Contamination Can Cross Language Barriers. | Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang |
| 2024 | ICLR | 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, Tomas Pfister |
| 2024 | ICLR | Fast-ELECTRA for Efficient Pre-training. | Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu |
| 2024 | ICLR | Toward Student-oriented Teacher Network Training for Knowledge Distillation. | Chengyu Dong, Liyuan Liu, Jingbo Shang |
| 2024 | ICML | MEMORYLLM: Towards Self-Updatable Large Language Models. | Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley |
| 2024 | IJCAI | Large Language Models for Time Series: A Survey. | Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang |
| 2024 | NAACL | READ: Improving Relation Extraction from an ADversarial Perspective. | Dawei Li, William Hogan, Jingbo Shang |
| 2024 | NAACL | DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering. | Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala |
| 2024 | WWW | How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. | Jiayun Zhang, Shuheng Li, Haiyu Huang, Zihan Wang, Xiaohan Fu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2023 | AAAI | PrimeNet: Pre-training for Irregular Multivariate Time Series. | Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2023 | ACL | A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches. | Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang |
| 2023 | ACL | 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, Wei Wang |
| 2023 | ACL | PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. | Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li |
| 2023 | ACL | Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach. | Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho D. Choi |
| 2023 | CIKM | Unleashing the Power of Shared Label Structures for Human Activity Recognition. | Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2023 | CIKM | WOT-Class: Weakly Supervised Open-world Text Classification. | Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang |
| 2023 | EMNLP | ClusterLLM: Large Language Models as a Guide for Text Clustering. | Yuwei Zhang, Zihan Wang, Jingbo Shang |
| 2023 | EMNLP | Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path. | Zilong Wang, Jingbo Shang |
| 2023 | EMNLP | Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. | Chengyu Dong, Zihan Wang, Jingbo Shang |
| 2023 | EMNLP | Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. | William Hogan, Jiacheng Li, Jingbo Shang |
| 2023 | EMNLP | 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, Jingbo Shang |
| 2023 | EMNLP | Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty. | Zi Lin, Quan Yuan, Panupong Pasupat, Jeremiah Z. Liu, Jingbo Shang |
| 2023 | EMNLP | SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. | Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang |
| 2023 | EMNLP | Less than One-shot: Named Entity Recognition via Extremely Weak Supervision. | Letian Peng, Zihan Wang, Jingbo Shang |
| 2023 | EMNLP | Goal-Driven Explainable Clustering via Language Descriptions. | Zihan Wang, Jingbo Shang, Ruiqi Zhong |
| 2023 | ICASSP | Towards Diverse and Coherent Augmentation for Time-Series Forecasting. | Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong |
| 2023 | ICCV | Learning Concise and Descriptive Attributes for Visual Recognition. | An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley |
| 2023 | ICLR | On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. | Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang |
| 2023 | ICML | Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. | Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu |
| 2023 | ICML | 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, Jingbo Shang |
| 2023 | IJCAI | Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework. | Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2023 | KDD | UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. | Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley |
| 2023 | KDD | Text Is All You Need: Learning Language Representations for Sequential Recommendation. | Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley |
| 2023 | KDD | 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, Jingbo Shang |
| 2023 | SENSYS | 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, Rajesh K. Gupta |
| 2022 | AAAI | Unsupervised Deep Keyphrase Generation. | Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang |
| 2022 | ACL | Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework. | Zilong Wang, Jingbo Shang |
| 2022 | ACL | Towards Comprehensive Patent Approval Predictions: Beyond Traditional Document Classification. | Xiaochen Gao, Zhaoyi Hou, Yifei Ning, Kewen Zhao, Beilei He, Jingbo Shang, Vish Krishnan |
| 2022 | ACL | Phrase-aware Unsupervised Constituency Parsing. | Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han |
| 2022 | ACL | Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty. | Zi Lin, Jeremiah Zhe Liu, Jingbo Shang |
| 2022 | ACL | UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. | Jiacheng Li, Jingbo Shang, Julian J. McAuley |
| 2022 | ACL | 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, Jingbo Shang |
| 2022 | EMNLP | Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition. | Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang |
| 2022 | EMNLP | 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, Vlad I. Morariu |
| 2022 | EMNLP | Fine-grained Contrastive Learning for Relation Extraction. | William Hogan, Jiacheng Li, Jingbo Shang |
| 2022 | EMNLP | WeDef: Weakly Supervised Backdoor Defense for Text Classification. | Lesheng Jin, Zihan Wang, Jingbo Shang |
| 2022 | EMNLP | Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. | Zi Lin, Jeremiah Z. Liu, Jingbo Shang |
| 2022 | EMNLP | LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. | Dheeraj Mekala, Chengyu Dong, Jingbo Shang |
| 2022 | EMNLP | Leveraging QA Datasets to Improve Generative Data Augmentation. | Dheeraj Mekala, Tu Vu, Timo Schick, Jingbo Shang |
| 2022 | EMNLP | Progressive Sentiment Analysis for Code-Switched Text Data. | Sudhanshu Ranjan, Dheeraj Mekala, Jingbo Shang |
| 2022 | KDD | TARNet: Task-Aware Reconstruction for Time-Series Transformer. | Ranak Roy Chowdhury, Xiyuan Zhang, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong |
| 2022 | WWW | OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. | Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han |
| 2022 | SENSYS | SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification. | Shuheng Li, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong |
| 2022 | WSDM | ESC-GAN: Extending Spatial Coverage of Physical Sensors. | Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong |
| 2021 | ACL | Weakly Supervised Named Entity Tagging with Learnable Logical Rules. | Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng |
| 2021 | ACL | Sensei: Self-Supervised Sensor Name Segmentation. | Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2021 | EMNLP | BFClass: A Backdoor-free Text Classification Framework. | Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang |
| 2021 | EMNLP | Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. | Dheeraj Mekala, Varun Gangal, Jingbo Shang |
| 2021 | EMNLP | "Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. | Zihan Wang, Chengyu Dong, Jingbo Shang |
| 2021 | EMNLP | LayoutReader: Pre-training of Text and Layout for Reading Order Detection. | Zilong Wang, Yiheng Xu, Lei Cui, Jingbo Shang, Furu Wei |
| 2021 | KDD | UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. | Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang |
| 2021 | NAACL | TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. | Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han |
| 2021 | NAACL | X-Class: Text Classification with Extremely Weak Supervision. | Zihan Wang, Dheeraj Mekala, Jingbo Shang |
| 2021 | WWW | Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. | Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han |
| 2021 | SIGIR | AutoName: A Corpus-Based Set Naming Framework. | Zhiqi Huang, Razieh Rahimi, Puxuan Yu, Jingbo Shang, James Allan |
| 2021 | SENSYS | UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification. | Shuheng Li, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong |
| 2021 | SDM | "Misc"-Aware Weakly Supervised Aspect Classification. | Peiran Li, Fang Guo, Jingbo Shang |
| 2020 | ACL | Contextualized Weak Supervision for Text Classification. | Dheeraj Mekala, Jingbo Shang |
| 2020 | ACL | Empower Entity Set Expansion via Language Model Probing. | Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han |
| 2020 | EMNLP | SeNsER: Learning Cross-Building Sensor Metadata Tagger. | Yang Jiao, Jiacheng Li, Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang |
| 2020 | EMNLP | META: Metadata-Empowered Weak Supervision for Text Classification. | Dheeraj Mekala, Xinyang Zhang, Jingbo Shang |
| 2020 | EMNLP | SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. | Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han |
| 2020 | ICML | Towards Adaptive Residual Network Training: A Neural-ODE Perspective. | Chengyu Dong, Liyuan Liu, Zichao Li, Jingbo Shang |
| 2020 | KDD | Scientific Text Mining and Knowledge Graphs. | Meng Jiang, Jingbo Shang |
| 2020 | WWW | NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network. | Jingbo Shang, Xinyang Zhang, Liyuan Liu, Sha Li, Jiawei Han |
| 2019 | EMNLP | CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. | Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han |
| 2019 | KDD | Constructing and Mining Heterogeneous Information Networks from Massive Text. | Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han |
| 2019 | WSDM | Integrating Local Context and Global Cohesiveness for Open Information Extraction. | Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han |
| 2018 | AAAI | Empower Sequence Labeling with Task-Aware Neural Language Model. | Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han |
| 2018 | CIKM | Investigating Rumor News Using Agreement-Aware Search. | Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, dm D. Lelkes, Cong Yu, Jiawei Han |
| 2018 | EMNLP | Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. | Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng, Jiawei Han |
| 2018 | EMNLP | Learning Named Entity Tagger using Domain-Specific Dictionary. | Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han |
| 2018 | WWW | Open Information Extraction with Global Structure Constraints. | Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han |
| 2018 | SIGIR | Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. | Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han |
| 2017 | CIKM | An Attention-based Collaboration Framework for Multi-View Network Representation Learning. | Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han |
| 2017 | CIKM | Detecting Multiple Periods and Periodic Patterns in Event Time Sequences. | Quan Yuan, Jingbo Shang, Xin Cao, Chao Zhang, Xinhe Geng, Jiawei Han |
| 2017 | KDD | MetaPAD: Meta Pattern Discovery from Massive Text Corpora. | Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han |
| 2017 | WWW | Constructing Structured Information Networks from Massive Text Corpora. | Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han |
| 2017 | SIGMOD | Building Structured Databases of Factual Knowledge from Massive Text Corpora. | Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han |
| 2016 | CIKM | Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis. | Hongkun Yu, Jingbo Shang, Meichun Hsu, Mal Castellanos, Jiawei Han |
| 2016 | WWW | Representing Documents via Latent Keyphrase Inference. | Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han |
| 2016 | SDM | MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance. | Jingbo Shang, Jian Peng, Jiawei Han |
| 2016 | SDM | DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework. | Jingbo Shang, Wenzhu Tong, Jian Peng, Jiawei Han |
| 2015 | SIGMOD | Mining Quality Phrases from Massive Text Corpora. | Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, Jiawei Han |
| 2014 | CIKM | Constrained Question Recommendation in MOOCs via Submodularity. | Diyi Yang, Jingbo Shang, Carolyn Penstein Ros |
| 2014 | ICDM | A Parallel and Efficient Algorithm for Learning to Match. | Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu |
| 2014 | KDD | Inferring gas consumption and pollution emission of vehicles throughout a city. | Jingbo Shang, Yu Zheng, Wenzhu Tong, Eric Chang, Yong Yu |