Constrained Question Recommendation in MOOCs via Submodularity. - Diyi Yang; Jingbo Shang; Carolyn Penstein Rosé (CIKM, 2014)

A Parallel and Efficient Algorithm for Learning to Match. - Jingbo Shang; Tianqi Chen 001; Hang Li 001; Zhengdong Lu; Yong Yu 001 (ICDM, 2014)

Inferring gas consumption and pollution emission of vehicles throughout a city. - Jingbo Shang; Yu Zheng 004; Wenzhu Tong; Eric Chang; Yong Yu 001 (KDD, 2014)

Detecting urban black holes based on human mobility data. - Liang Hong; Yu Zheng 004; Duncan Yung; Jingbo Shang; Lei Zou 001 (SIGSPATIAL/GIS, 2015)

Mining Quality Phrases from Massive Text Corpora. - Jialu Liu; Jingbo Shang; Chi Wang 001; Xiang Ren 001; Jiawei Han 001 (SIGMOD Conference, 2015)

Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients. - Qian Cheng; Jingbo Shang; Joshua Juen; Jiawei Han 001; Bruce R. Schatz (BCB, 2016)

Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis. - Hongkun Yu 001; Jingbo Shang; Meichun Hsu; Malú Castellanos; Jiawei Han 001 (CIKM, 2016)

MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance. - Jingbo Shang; Jian Peng 001; Jiawei Han 001 (SDM, 2016)

DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework. - Jingbo Shang; Wenzhu Tong; Jian Peng 001; Jiawei Han 001 (SDM, 2016)

Representing Documents via Latent Keyphrase Inference. - Jialu Liu; Xiang Ren 001; Jingbo Shang; Taylor Cassidy; Clare R. Voss; Jiawei Han 001 (WWW, 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 001; Jian Peng 001 (CoRR, 2016)

An Attention-based Collaboration Framework for Multi-View Network Representation Learning. - Meng Qu; Jian Tang 005; Jingbo Shang; Xiang Ren 001; Ming Zhang 004; Jiawei Han 001 (CIKM, 2017)

Detecting Multiple Periods and Periodic Patterns in Event Time Sequences. - Quan Yuan 001; Jingbo Shang; Xin Cao 001; Chao Zhang 014; Xinhe Geng; Jiawei Han 001 (CIKM, 2017)

MetaPAD: Meta Pattern Discovery from Massive Text Corpora. - Meng Jiang 001; Jingbo Shang; Taylor Cassidy; Xiang Ren 001; Lance M. Kaplan; Timothy P. Hanratty; Jiawei Han 001 (KDD, 2017)

SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. - Jiaming Shen; Zeqiu Wu; Dongming Lei; Jingbo Shang; Xiang Ren 001; Jiawei Han 001 (ECML/PKDD (1), 2017)

Building Structured Databases of Factual Knowledge from Massive Text Corpora. - Xiang Ren 001; Meng Jiang 001; Jingbo Shang; Jiawei Han 001 (SIGMOD Conference, 2017)

Constructing Structured Information Networks from Massive Text Corpora. - Xiang Ren 001; Meng Jiang 001; Jingbo Shang; Jiawei Han 001 (WWW (Companion Volume), 2017)

Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining. - Xiuli Ma; Guangyu Zhou; Jingbo Shang; Jingjing Wang; Jian Peng 001; Jiawei Han 001 (J. Comput. Biol., 2017)

Phrase Mining from Massive Text and Its Applications - Jialu Liu; Jingbo Shang; Jiawei Han 001 (Morgan & Claypool Publishers, 2017)

Empower Sequence Labeling with Task-Aware Neural Language Model. - Liyuan Liu; Jingbo Shang; Xiang Ren 001; Frank Fangzheng Xu; Huan Gui; Jian Peng 001; Jiawei Han 001 (AAAI, 2018)

Investigating Rumor News Using Agreement-Aware Search. - Jingbo Shang; Jiaming Shen; Tianhang Sun; Xingbang Liu; Anja Gruenheid; Flip Korn; Ádám D. Lelkes; Cong Yu 001; Jiawei Han 001 (CIKM, 2018)

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. - Liyuan Liu; Xiang Ren 001; Jingbo Shang; Xiaotao Gu; Jian Peng 001; Jiawei Han 001 (EMNLP, 2018)

Learning Named Entity Tagger using Domain-Specific Dictionary. - Jingbo Shang; Liyuan Liu; Xiaotao Gu; Xiang Ren 001; Teng Ren; Jiawei Han 001 (EMNLP, 2018)

Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. - Jiaming Shen; Jinfeng Xiao; Xinwei He; Jingbo Shang; Saurabh Sinha; Jiawei Han 001 (SIGIR, 2018)

Open Information Extraction with Global Structure Constraints. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Frank F. Xu; Jiawei Han 001 (WWW (Companion Volume), 2018)

Contrast Subgraph Mining from Coherent Cores. - Jingbo Shang; Xiyao Shi; Meng Jiang 001; Liyuan Liu; Timothy P. Hanratty; Jiawei Han 001 (CoRR, 2018)

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. - Liyuan Liu; Xiang Ren 001; Jingbo Shang; Jian Peng 001; Jiawei Han 001 (CoRR, 2018)

Integrating Local Context and Global Cohesiveness for Open Information Extraction. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Frank F. Xu; Jiawei Han 001 (CoRR, 2018)

DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. - Jingbo Shang; Meng Jiang 001; Wenzhu Tong; Jinfeng Xiao; Jian Peng 001; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2018)

Automated Phrase Mining from Massive Text Corpora. - Jingbo Shang; Jialu Liu; Meng Jiang 001; Xiang Ren 001; Clare R. Voss; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2018)

Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. - Xuan Wang 008; Yu Zhang 044; Qi Li 012; Xiang Ren 001; Jingbo Shang; Jiawei Han 001 (BIBM, 2019)

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. - Zihan Wang 001; Jingbo Shang; Liyuan Liu; Lihao Lu; Jiacheng Liu 004; Jiawei Han 001 (EMNLP/IJCNLP (1), 2019)

Constructing and Mining Heterogeneous Information Networks from Massive Text. - Jingbo Shang; Jiaming Shen; Liyuan Liu; Jiawei Han 001 (KDD, 2019)

Arabic Named Entity Recognition: What Works and What's Next. - Liyuan Liu; Jingbo Shang; Jiawei Han 001 (WANLP@ACL 2019, 2019)

Integrating Local Context and Global Cohesiveness for Open Information Extraction. - Qi Zhu 008; Xiang Ren 001; Jingbo Shang; Yu Zhang 044; Ahmed El-Kishky; Jiawei Han 001 (WSDM, 2019)

Cross-type biomedical named entity recognition with deep multi-task learning. - Xuan Wang 008; Yu Zhang 044; Xiang Ren 001; Yuhao Zhang 004; Marinka Zitnik; Jingbo Shang; Curtis P. Langlotz; Jiawei Han 001 (Bioinform., 2019)

Raw-to-End Name Entity Recognition in Social Media. - Liyuan Liu; Zihan Wang 001; Jingbo Shang; Dandong Yin; Heng Ji 001; Xiang Ren 001; Shaowen Wang 001; Jiawei Han 001 (CoRR, 2019)

CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. - Carl Yang 001; Dai Teng; Siyang Liu; Sayantani Basu; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014; Jingbo Shang; Lance M. Kaplan; Timothy Harratty; Jiawei Han 001 (CoRR, 2019)

TextCube: Automated Construction and Multidimensional Exploration. - Yu Meng 001; Jiaxin Huang 001; Jingbo Shang; Jiawei Han 001 (Proc. VLDB Endow., 2019)

Constructing and mining structured heterogeneous information networks from massive text corpora - Jingbo Shang (2019)

Contextualized Weak Supervision for Text Classification. - Dheeraj Mekala; Jingbo Shang (ACL, 2020)

Empower Entity Set Expansion via Language Model Probing. - Yunyi Zhang 001; Jiaming Shen; Jingbo Shang; Jiawei Han 001 (ACL, 2020)

SeNsER: Learning Cross-Building Sensor Metadata Tagger. - Yang Jiao; Jiacheng Li 003; Jiaman Wu; Dezhi Hong; Rajesh Gupta 001; Jingbo Shang (EMNLP (Findings), 2020)

META: Metadata-Empowered Weak Supervision for Text Classification. - Dheeraj Mekala; Xinyang Zhang 002; Jingbo Shang (EMNLP (1), 2020)

SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. - Jiaming Shen; Wenda Qiu; Jingbo Shang; Michelle Vanni; Xiang Ren 001; Jiawei Han 001 (EMNLP (1), 2020)

Towards Adaptive Residual Network Training: A Neural-ODE Perspective. - Chengyu Dong; Liyuan Liu; Zichao Li 002; Jingbo Shang (ICML, 2020)

Scientific Text Mining and Knowledge Graphs. - Meng Jiang 001; Jingbo Shang (KDD, 2020)

FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams. - Wanzheng Zhu; Hongyu Gong; Jiaming Shen; Chao Zhang 014; Jingbo Shang; Suma Bhat; Jiawei Han 001 (ECML/PKDD (3), 2020)

NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network. - Jingbo Shang; Xinyang Zhang 002; Liyuan Liu; Sha Li; Jiawei Han 001 (WWW, 2020)

User-Guided Aspect Classification for Domain-Specific Texts. - Peiran Li; Fang Guo; Jingbo Shang (CoRR, 2020)

Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training. - Zichao Li 002; Liyuan Liu; Chengyu Dong; Jingbo Shang (CoRR, 2020)

Weakly Supervised Named Entity Tagging with Learnable Logical Rules. - Jiacheng Li 003; Haibo Ding; Jingbo Shang; Julian J. McAuley; Zhe Feng 003 (ACL/IJCNLP (1), 2021)

Sensei: Self-Supervised Sensor Name Segmentation. - Jiaman Wu; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (ACL/IJCNLP (Findings), 2021)

BFClass: A Backdoor-free Text Classification Framework. - Zichao Li 002; Dheeraj Mekala; Chengyu Dong; Jingbo Shang (EMNLP (Findings), 2021)

Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. - Dheeraj Mekala; Varun Gangal; Jingbo Shang (EMNLP (1), 2021)

"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. - Zihan Wang 001; Chengyu Dong; Jingbo Shang (EMNLP (1), 2021)

LayoutReader: Pre-training of Text and Layout for Reading Order Detection. - Zilong Wang 002; Yiheng Xu; Lei Cui 001; Jingbo Shang; Furu Wei (EMNLP (1), 2021)

UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. - Xiaotao Gu; Zihan Wang 001; Zhenyu Bi; Yu Meng 001; Liyuan Liu; Jiawei Han 001; Jingbo Shang (KDD, 2021)

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. - Jiaming Shen; Wenda Qiu; Yu Meng 001; Jingbo Shang; Xiang Ren 001; Jiawei Han 001 (NAACL-HLT, 2021)

X-Class: Text Classification with Extremely Weak Supervision. - Zihan Wang 001; Dheeraj Mekala; Jingbo Shang (NAACL-HLT, 2021)

"Misc"-Aware Weakly Supervised Aspect Classification. - Peiran Li; Fang Guo; Jingbo Shang (SDM, 2021)

UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification. - Shuheng Li; Ranak Roy Chowdhury; Jingbo Shang; Rajesh K. Gupta 001; Dezhi Hong (SenSys, 2021)

AutoName: A Corpus-Based Set Naming Framework. - Zhiqi Huang 002; Razieh Rahimi; Puxuan Yu; Jingbo Shang; James Allan (SIGIR, 2021)

Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. - Xinyang Zhang 002; Chenwei Zhang; Xin Luna Dong; Jingbo Shang; Jiawei Han 001 (WWW, 2021)

Data Profiling for Adversarial Training: On the Ruin of Problematic Data. - Chengyu Dong; Liyuan Liu; Jingbo Shang (CoRR, 2021)

News Meets Microblog: Hashtag Annotation via Retriever-Generator. - Xiuwen Zheng 002; Dheeraj Mekala; Amarnath Gupta; Jingbo Shang (CoRR, 2021)

Double Descent in Adversarial Training: An Implicit Label Noise Perspective. - Chengyu Dong; Liyuan Liu; Jingbo Shang (CoRR, 2021)

Unsupervised Deep Keyphrase Generation. - Xianjie Shen; Yinghan Wang; Rui Meng; Jingbo Shang (AAAI, 2022)

Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework. - Zilong Wang 002; Jingbo Shang (ACL (Findings), 2022)

Towards Comprehensive Patent Approval Predictions: Beyond Traditional Document Classification. - Xiaochen Gao; Zhaoyi Hou; Yifei Ning; Kewen Zhao; Beilei He; Jingbo Shang; Vish Krishnan (ACL (1), 2022)

Phrase-aware Unsupervised Constituency Parsing. - Xiaotao Gu; Yikang Shen; Jiaming Shen; Jingbo Shang; Jiawei Han 001 (ACL (1), 2022)

UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. - Jiacheng Li 003; Jingbo Shang; Julian J. McAuley (ACL (1), 2022)

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

Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. - Zihan Wang 001; Jiuxiang Gu; Jason Kuen; Handong Zhao; Vlad I. Morariu; Ruiyi Zhang 002; Ani Nenkova; Tong Sun 005; Jingbo Shang (ACL (Findings), 2022)

DeepViFi: detecting oncoviral infections in cancer genomes using transformers. - Utkrisht Rajkumar; Sara Javadzadeh; Mihir Bafna; Dongxia Wu; Rose Yu; Jingbo Shang; Vineet Bafna (BCB, 2022)

Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition. - Zihan Wang 001; Kewen Zhao; Zilong Wang 002; Jingbo Shang (EMNLP (Findings), 2022)

MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding. - Zilong Wang 002; Jiuxiang Gu; Chris Tensmeyer; Nikolaos Barmpalios; Ani Nenkova; Tong Sun 005; Jingbo Shang; Vlad I. Morariu (EMNLP, 2022)

Fine-grained Contrastive Learning for Relation Extraction. - William Hogan; Jiacheng Li 003; Jingbo Shang (EMNLP, 2022)

WeDef: Weakly Supervised Backdoor Defense for Text Classification. - Lesheng Jin; Zihan Wang 001; Jingbo Shang (EMNLP, 2022)

Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. - Zi Lin; Jeremiah Z. Liu; Jingbo Shang (EMNLP, 2022)

LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. - Dheeraj Mekala; Chengyu Dong; Jingbo Shang (EMNLP (Findings), 2022)

Leveraging QA Datasets to Improve Generative Data Augmentation. - Dheeraj Mekala; Tu Vu; Timo Schick; Jingbo Shang (EMNLP, 2022)

Progressive Sentiment Analysis for Code-Switched Text Data. - Sudhanshu Ranjan; Dheeraj Mekala; Jingbo Shang (EMNLP (Findings), 2022)

TARNet: Task-Aware Reconstruction for Time-Series Transformer. - Ranak Roy Chowdhury; Xiyuan Zhang 001; Jingbo Shang; Rajesh K. Gupta 001; Dezhi Hong (KDD, 2022)

Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting. - Chengyu Dong; Liyuan Liu; Jingbo Shang (NeurIPS, 2022)

SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification. - Shuheng Li; Jingbo Shang; Rajesh K. Gupta 001; Dezhi Hong (SenSys, 2022)

ESC-GAN: Extending Spatial Coverage of Physical Sensors. - Xiyuan Zhang 001; Ranak Roy Chowdhury; Jingbo Shang; Rajesh K. Gupta 001; Dezhi Hong (WSDM, 2022)

OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. - Xinyang Zhang 002; Chenwei Zhang; Xian Li; Xin Luna Dong; Jingbo Shang; Christos Faloutsos; Jiawei Han 001 (WWW, 2022)

Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation. - Dheeraj Mekala; Tu Vu; Jingbo Shang (CoRR, 2022)

SoTeacher: A Student-oriented Teacher Network Training Framework for Knowledge Distillation. - Chengyu Dong; Liyuan Liu; Jingbo Shang (CoRR, 2022)

UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation. - Jiacheng Li 003; Zhankui He; Jingbo Shang; Julian J. McAuley (CoRR, 2022)

Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform. - Yufan Zhuang; Zihan Wang 001; Fangbo Tao; Jingbo Shang (CoRR, 2022)

PrimeNet: Pre-training for Irregular Multivariate Time Series. - Ranak Roy Chowdhury; Jiacheng Li 003; Xiyuan Zhang 001; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (AAAI, 2023)

A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches. - Zihan Wang 001; Tianle Wang 003; Dheeraj Mekala; Jingbo Shang (ACL (Findings), 2023)

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. - Zijie Huang 002; Daheng Wang; Binxuan Huang; Chenwei Zhang; Jingbo Shang; Yan Liang 004; Zhengyang Wang; Xian Li; Christos Faloutsos; Yizhou Sun; Wei Wang 010 (ACL (Findings), 2023)

PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. - Hejie Cui; Rongmei Lin; Nasser Zalmout; Chenwei Zhang; Jingbo Shang; Carl Yang 001; Xian Li (ACL (Findings), 2023)

Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach. - Liyan Xu; Chenwei Zhang; Xian Li; Jingbo Shang; Jinho D. Choi (ACL (1), 2023)

Unleashing the Power of Shared Label Structures for Human Activity Recognition. - Xiyuan Zhang 001; Ranak Roy Chowdhury; Jiayun Zhang; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (CIKM, 2023)

WOT-Class: Weakly Supervised Open-world Text Classification. - Tianle Wang 003; Zihan Wang 001; Weitang Liu; Jingbo Shang (CIKM, 2023)

ClusterLLM: Large Language Models as a Guide for Text Clustering. - Yuwei Zhang 001; Zihan Wang 001; Jingbo Shang (EMNLP, 2023)

Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path. - Zilong Wang 002; Jingbo Shang (EMNLP (Findings), 2023)

Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. - Chengyu Dong; Zihan Wang 001; Jingbo Shang (EMNLP, 2023)

Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. - William Hogan; Jiacheng Li 003; Jingbo Shang (EMNLP, 2023)

ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. - Zi Lin; Zihan Wang 001; Yongqi Tong; Yangkun Wang; Yuxin Guo; Yujia Wang; Jingbo Shang (EMNLP (Findings), 2023)

Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty. - Zi Lin; Quan Yuan 001; Panupong Pasupat; Jeremiah Z. Liu; Jingbo Shang (EMNLP (Findings), 2023)

SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. - Dheeraj Mekala; Adithya Samavedhi; Chengyu Dong; Jingbo Shang (EMNLP (Findings), 2023)

Less than One-shot: Named Entity Recognition via Extremely Weak Supervision. - Letian Peng; Zihan Wang 001; Jingbo Shang (EMNLP (Findings), 2023)

Goal-Driven Explainable Clustering via Language Descriptions. - Zihan Wang 001; Jingbo Shang; Ruiqi Zhong (EMNLP, 2023)

Towards Diverse and Coherent Augmentation for Time-Series Forecasting. - Xiyuan Zhang 001; Ranak Roy Chowdhury; Jingbo Shang; Rajesh K. Gupta 001; Dezhi Hong (ICASSP, 2023)

Learning Concise and Descriptive Attributes for Visual Recognition. - An Yan 003; Yu Wang 170; Yiwu Zhong; Chengyu Dong; Zexue He; Yujie Lu; William Yang Wang; Jingbo Shang; Julian J. McAuley (ICCV, 2023)

On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. - Zi Lin; Du Phan; Panupong Pasupat; Jeremiah Zhe Liu; Jingbo Shang (ICLR, 2023)

Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. - Chengyu Dong; Liyuan Liu; Hao Cheng 002; Jingbo Shang; Jianfeng Gao 001; Xiaodong Liu 003 (ICML, 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; Jingbo Shang (ICML, 2023)

Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework. - Jiayun Zhang; Xinyang Zhang 002; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (IJCAI, 2023)

UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. - Jiacheng Li 003; Zhankui He; Jingbo Shang; Julian J. McAuley (KDD, 2023)

Text Is All You Need: Learning Language Representations for Sequential Recommendation. - Jiacheng Li 003; Ming Wang; Jin Li 003; Jinmiao Fu; Xin Shen; Jingbo Shang; Julian J. McAuley (KDD, 2023)

Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework. - Jiayun Zhang; Xiyuan Zhang 001; Xinyang Zhang 002; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (KDD, 2023)

Physics-Informed Data Denoising for Real-Life Sensing Systems. - Xiyuan Zhang 001; Xiaohan Fu; Diyan Teng; Chengyu Dong; Keerthivasan Vijayakumar; Jiayun Zhang; Ranak Roy Chowdhury; Junsheng Han; Dezhi Hong; Rashmi Kulkarni; Jingbo Shang; Rajesh K. Gupta 001 (SenSys, 2023)

WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability. - Yufan Zhuang; Zihan Wang 001; Fangbo Tao; Jingbo Shang (UniReps, 2023)

Federated Learning with Client-Exclusive Classes. - Jiayun Zhang; Xiyuan Zhang 001; Xinyang Zhang 002; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (CoRR, 2023)

Modeling Label Semantics Improves Activity Recognition. - Xiyuan Zhang 001; Ranak Roy Chowdhury; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (CoRR, 2023)

Generating Efficient Training Data via LLM-based Attribute Manipulation. - Letian Peng; Yuwei Zhang 001; Jingbo Shang (CoRR, 2023)

Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. - An Yan 003; Yu Wang 170; Yiwu Zhong; Zexue He; Petros Karypis; Zihan Wang 001; Chengyu Dong; Amilcare Gentili; Chun-Nan Hsu; Jingbo Shang; Julian J. McAuley (CoRR, 2023)

Critique Ability of Large Language Models. - Liangchen Luo; Zi Lin; Yinxiao Liu; Lei Shu 004; Yun Zhu; Jingbo Shang; Lei Meng 008 (CoRR, 2023)

Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking. - Yongqi Tong; Yifan Wang; Dawei Li; Sizhe Wang; Zi Lin; Simeng Han; Jingbo Shang (CoRR, 2023)

EmojiLM: Modeling the New Emoji Language. - Letian Peng; Zilong Wang 002; Hang Liu; Zihan Wang 001; Jingbo Shang (CoRR, 2023)

DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase. - Dawei Li; Yaxuan Li; Dheeraj Mekala; Shuyao Li; Yulin Wang; Xueqi Wang; William Hogan; Jingbo Shang (CoRR, 2023)

OMNIINPUT: A Model-centric Evaluation Framework through Output Distribution. - Weitang Liu; Ying-Wai Li; Tianle Wang 003; Yi-Zhuang You; Jingbo Shang (CoRR, 2023)

Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving. - Chenyang An; Zhibo Chen 009; Qihao Ye; Emily First; Letian Peng; Jiayun Zhang; Zihan Wang 001; Sorin Lerner; Jingbo Shang (ACL (1), 2024)

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 (ACL (1), 2024)

Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models. - Dheeraj Mekala; Alex Nguyen 003; Jingbo Shang (ACL (Findings), 2024)

Answer is All You Need: Instruction-following Text Embedding via Answering the Question. - Letian Peng; Yuwei Zhang 001; Zilong Wang 002; Jayanth Srinivasa; Gaowen Liu; Zihan Wang 001; Jingbo Shang (ACL (1), 2024)

Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation. - Letian Peng; Yuwei Zhang 001; Jingbo Shang (ACL (Findings), 2024)

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 (ACL (1), 2024)

Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products. - Tao Zhang 055; Chenwei Zhang; Xian Li; Jingbo Shang; Hoang Nguyen; Philip S. Yu (ACL (Findings), 2024)

Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step. - Li Zhong; Zilong Wang 002; Jingbo Shang (ACL (Findings), 2024)

Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. - Shang Zhou; Feng Yao; Chengyu Dong; Zihan Wang 001; Jingbo Shang (ACL (Findings), 2024)

MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction. - William Hogan; Andrew Bartko; Jingbo Shang; Chun-Nan Hsu (BioNLP@ACL, 2024)

Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation. - Prashant Krishnan; Zilong Wang 002; Yangkun Wang; Jingbo Shang (LREC/COLING, 2024)

Open-world Multi-label Text Classification with Extremely Weak Supervision. - Xintong Li 001; Jinya Jiang; Ria Dharmani; Jayanth Srinivasa; Gaowen Liu; Jingbo Shang (EMNLP, 2024)

TOOLVERIFIER: Generalization to New Tools via Self-Verification. - Dheeraj Mekala; Jason Weston; Jack Lanchantin; Roberta Raileanu; Maria Lomeli; Jingbo Shang; Jane Dwivedi-Yu (EMNLP (Findings), 2024)

Incubating Text Classifiers Following User Instruction with Nothing but LLM. - Letian Peng; Zilong Wang 002; Jingbo Shang (EMNLP, 2024)

Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. - Letian Peng; Yi Gu 002; Chengyu Dong; Zihan Wang 001; Jingbo Shang (EMNLP, 2024)

Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. - Zihan Wang 001; Yunxuan Li; Yuexin Wu; Liangchen Luo; Le Hou; Hongkun Yu 001; Jingbo Shang (EMNLP (Findings), 2024)

Data Contamination Can Cross Language Barriers. - Feng Yao; Yufan Zhuang; Zihao Sun; Sunan Xu; Animesh Kumar; Jingbo Shang (EMNLP, 2024)

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. - Zilong Wang 002; Hao Zhang; Chun-Liang Li; Julian Martin Eisenschlos; Vincent Perot; Zifeng Wang 002; Lesly Miculicich; Yasuhisa Fujii; Jingbo Shang; Chen-Yu Lee; Tomas Pfister (ICLR, 2024)

Fast-ELECTRA for Efficient Pre-training. - Chengyu Dong; Liyuan Liu; Hao Cheng 002; Jingbo Shang; Jianfeng Gao 001; Xiaodong Liu 003 (ICLR, 2024)

Toward Student-oriented Teacher Network Training for Knowledge Distillation. - Chengyu Dong; Liyuan Liu; Jingbo Shang (ICLR, 2024)

MEMORYLLM: Towards Self-Updatable Large Language Models. - Yu Wang 170; Yifan Gao 001; Xiusi Chen; Haoming Jiang; Shiyang Li; Jingfeng Yang 001; Qingyu Yin; Zheng Li 018; Xian Li; Bing Yin; Jingbo Shang; Julian J. McAuley (ICML, 2024)

Large Language Models for Time Series: A Survey. - Xiyuan Zhang 001; Ranak Roy Chowdhury; Rajesh K. Gupta 001; Jingbo Shang (IJCAI, 2024)

READ: Improving Relation Extraction from an ADversarial Perspective. - Dawei Li; William Hogan; Jingbo Shang (NAACL-HLT (Findings), 2024)

DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering. - Alex Nguyen 003; Zilong Wang 002; Jingbo Shang; Dheeraj Mekala (NAACL (Demonstrations), 2024)

UniMTS: Unified Pre-training for Motion Time Series. - Xiyuan Zhang 001; Diyan Teng; Ranak Roy Chowdhury; Shuheng Li; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (NeurIPS, 2024)

Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing. - Letian Peng; Jingbo Shang (NeurIPS, 2024)

CloudSheep System for WMT24 Discourse-Level Literary Translation. - Lisa Liu; Ryan Liu; Angela Tsai; Jingbo Shang (WMT, 2024)

How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. - Jiayun Zhang; Shuheng Li; Haiyu Huang 003; Zihan Wang 001; Xiaohan Fu; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (WWW, 2024)

MedLM: Exploring Language Models for Medical Question Answering Systems. - Niraj Yagnik; Jay Jhaveri; Vivek Sharma; Gabriel Pila; Asma Ben; Jingbo Shang (CoRR, 2024)

MEMORYLLM: Towards Self-Updatable Large Language Models. - Yu Wang 170; Xiusi Chen; Jingbo Shang; Julian J. McAuley (CoRR, 2024)

LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step. - Lily Zhong; Zilong Wang 002; Jingbo Shang (CoRR, 2024)

MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks. - Letian Peng; Zilong Wang 002; Feng Yao; Zihan Wang 001; Jingbo Shang (CoRR, 2024)

Incubating Text Classifiers Following User Instruction with Nothing but LLM. - Letian Peng; Jingbo Shang (CoRR, 2024)

Optimizing Language Model's Reasoning Abilities with Weak Supervision. - Yongqi Tong; Sizhe Wang; Dawei Li; Yifan Wang; Simeng Han; Zi Lin; Chengsong Huang; Jiaxin Huang 001; Jingbo Shang (CoRR, 2024)

AI-native Memory: A Pathway from LLMs Towards AGI. - Jingbo Shang; Zai Zheng; Xiang Ying; Felix Tao; Mindverse Team (CoRR, 2024)

When is the consistent prediction likely to be a correct prediction? - Alex Nguyen 003; Dheeraj Mekala; Chengyu Dong; Jingbo Shang (CoRR, 2024)

OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation. - Zilong Wang 002; Yuedong Cui; Li Zhong; Zimin Zhang; Da Yin; Bill Yuchen Lin; Jingbo Shang (CoRR, 2024)

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. - Junda Wu; Xintong Li 001; Tong Yu 001; Yu Wang 170; Xiang Chen; Jiuxiang Gu; Lina Yao 001; Jingbo Shang; Julian J. McAuley (CoRR, 2024)

Configurable Foundation Models: Building LLMs from a Modular Perspective. - Chaojun Xiao; Zhengyan Zhang; Chenyang Song; Dazhi Jiang; Feng Yao; Xu Han 007; Xiaozhi Wang; Shuo Wang 013; Yufei Huang 008; Guanyu Lin; Yingfa Chen; Weilin Zhao; et al. (CoRR, 2024)

RNR: Teaching Large Language Models to Follow Roles and Rules. - Kuan Wang; Alexander Bukharin; Haoming Jiang; Qingyu Yin; Zhengyang Wang; Tuo Zhao; Jingbo Shang; Chao Zhang 014; Bing Yin; Xian Li; Jianshu Chen; Shiyang Li (CoRR, 2024)

Visual Prompting in Multimodal Large Language Models: A Survey. - Junda Wu; Zhehao Zhang 001; Yu Xia 007; Xintong Li 001; Zhaoyang Xia; Aaron Chang; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ruiyi Zhang 002; Subrata Mitra; Dimitris N. Metaxas; et al. (CoRR, 2024)

Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. - Chenyang An; Shima Imani; Feng Yao; Chengyu Dong; Ali Abbasi 008; Harsh Shrivastava 001; Samuel Buss; Jingbo Shang; Gayathri Mahalingam; Pramod Sharma; Maurice Diesendruck (CoRR, 2024)

Model-diff: A Tool for Comparative Study of Language Models in the Input Space. - Weitang Liu; Yuelei Li; Ying Wai Li; Zihan Wang 001; Jingbo Shang (CoRR, 2024)

Learning a Decision Tree Algorithm with Transformers. - Yufan Zhuang; Liyuan Liu; Chandan Singh; Jingbo Shang; Jianfeng Gao 001 (Trans. Mach. Learn. Res., 2024)

ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition. - Ranak Roy Chowdhury; Ritvik Kapila; Ameya Panse; Xiyuan Zhang 001; Diyan Teng; Rashmi Kulkarni; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (AAAI, 2025)

Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest. - Letian Peng; Zilong Wang 002; Feng Yao; Jingbo Shang (ACL (1), 2025)

Direct Prompt Optimization with Continuous Representations. - Yangkun Wang; Zihan Wang 001; Jingbo Shang (ACL (1), 2025)

Self-Taught Agentic Long Context Understanding. - Yufan Zhuang; Xiaodong Yu; Jialian Wu; Ximeng Sun; Ze Wang 008; Jiang Liu 014; Yusheng Su; Jingbo Shang; Zicheng Liu 001; Emad Barsoum (ACL (1), 2025)

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. - Zilong Wang 002; Zifeng Wang 002; Long T. Le; Huaixiu Steven Zheng; Swaroop Mishra; Vincent Perot; Yuwei Zhang 001; Anush Mattapalli; Ankur Taly; Jingbo Shang; Chen-Yu Lee; Tomas Pfister (ICLR, 2025)

Correlation and Navigation in the Vocabulary Key Representation Space of Language Models. - Letian Peng; Chenyang An; Jingbo Shang (ICLR, 2025)

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. - Junda Wu; Xintong Li 001; Ruoyu Wang 038; Yu Xia 007; Yuxin Xiong; Jianing Wang 002; Tong Yu 001; Xiang Chen; Branislav Kveton; Lina Yao 001; Jingbo Shang; Julian J. McAuley (ICLR, 2025)

Vector-ICL: In-context Learning with Continuous Vector Representations. - Yufan Zhuang; Chandan Singh; Liyuan Liu; Jingbo Shang; Jianfeng Gao 001 (ICLR, 2025)

Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction. - William Hogan; Jingbo Shang (NAACL (Long Papers), 2025)

ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations. - Yichuan Li 001; Xinyang Zhang 002; Chenwei Zhang; Mao Li; Tianyi Liu; Pei Chen; Yifan Gao 001; Kyumin Lee; Kaize Ding; Zhengyang Wang; Zhihan Zhang 001; Jingbo Shang; et al. (NAACL (Long Papers), 2025)

Matching Skeleton-based Activity Representations with Heterogeneous Signals for HAR. - Shuheng Li; Jiayun Zhang; Xiaohan Fu; Xiyuan Zhang 001; Jingbo Shang; Rajesh K. Gupta 001 (SenSys, 2025)

Linear Correlation in LM's Compositional Generalization and Hallucination. - Letian Peng; Chenyang An; Shibo Hao; Chengyu Dong; Jingbo Shang (CoRR, 2025)

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. - Junda Wu; Yuxin Xiong; Xintong Li 001; Yu Xia 007; Ruoyu Wang 038; Yu Wang 160; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Lina Yao 001; Jingbo Shang; Julian J. McAuley (CoRR, 2025)

UltraGen: Extremely Fine-grained Controllable Generation via Attribute Reconstruction and Global Preference Optimization. - Longfei Yun; Letian Peng; Jingbo Shang (CoRR, 2025)

Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation. - Zi Lin; Sheng Shen 016; Jingbo Shang; Jason Weston; Yixin Nie (CoRR, 2025)

Orthogonal Calibration for Asynchronous Federated Learning. - Jiayun Zhang; Shuheng Li; Haiyu Huang 003; Xiaofan Yu; Rajesh K. Gupta 001; Jingbo Shang (CoRR, 2025)

Contextual Inference From Sparse Shopping Transactions Based on Motif Patterns. - Jiayun Zhang; Xinyang Zhang 002; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (IEEE Trans. Knowl. Data Eng., 2025)

Active Learning for Direct Preference Optimization. - Branislav Kveton; Xintong Li 001; Julian J. McAuley; Ryan A. Rossi; Jingbo Shang; Junda Wu; Tong Yu 001 (CoRR, 2025)

Memorize or Generalize? Evaluating LLM Code Generation with Evolved Questions. - Wentao Chen; Lizhe Zhang; Li Zhong; Letian Peng; Zilong Wang 002; Jingbo Shang (CoRR, 2025)

Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning. - Xintong Li 001; Jalend Bantupalli; Ria Dharmani; Yuwei Zhang 001; Jingbo Shang (CoRR, 2025)

AI-native Memory 2.0: Second Me. - Jiale Wei; Xiang Ying; Tao Gao; Fangyi Bao; Felix Tao; Jingbo Shang (CoRR, 2025)

Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval. - Yuwei Zhang 001; Jayanth Srinivasa; Gaowen Liu; Jingbo Shang (CoRR, 2025)

Tuning LLMs by RAG Principles: Towards LLM-native Memory. - Jiale Wei; Shuchi Wu; Ruochen Liu; Xiang Ying; Jingbo Shang; Fangbo Tao (CoRR, 2025)

A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models. - Zhouhang Xie; Junda Wu; Yiran Shen 004; Yu Xia 007; Xintong Li 001; Aaron Chang; Ryan A. Rossi; Sachin Kumar; Bodhisattwa Prasad Majumder; Jingbo Shang; Prithviraj Ammanabrolu; Julian J. McAuley (CoRR, 2025)

Codifying Character Logic in Role-Playing. - Letian Peng; Jingbo Shang (CoRR, 2025)

Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection. - Yuwei Zhang 001; Wenhao Yu 002; Shangbin Feng; Yifan Zhu; Letian Peng; Jayanth Srinivasa; Gaowen Liu; Jingbo Shang (CoRR, 2025)

Text Generation Beyond Discrete Token Sampling. - Yufan Zhuang; Liyuan Liu; Chandan Singh; Jingbo Shang; Jianfeng Gao 001 (CoRR, 2025)

The Price of Format: Diversity Collapse in LLMs. - Longfei Yun; Chenyang An; Zilong Wang 002; Letian Peng; Jingbo Shang (CoRR, 2025)

RRO: LLM Agent Optimization Through Rising Reward Trajectories. - Zilong Wang 002; Jingfeng Yang 001; Sreyashi Nag; Samarth Varshney; Xianfeng Tang; Haoming Jiang; Jingbo Shang; Sheikh Muhammad Sarwar (CoRR, 2025)

Training Language Models to Generate Quality Code with Program Analysis Feedback. - Feng Yao; Zilong Wang 002; Liyuan Liu; Junxia Cui; Li Zhong; Xiaohan Fu; Haohui Mai; Vish Krishnan; Jianfeng Gao 001; Jingbo Shang (CoRR, 2025)

PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time. - Weizhi Zhang 001; Xinyang Zhang 002; Chenwei Zhang; Liangwei Yang; Jingbo Shang; Zhepei Wei; Henry Peng Zou; Zijie Huang 002; Zhengyang Wang; Yifan Gao 001; Xiaoman Pan; Lian Xiong; et al. (CoRR, 2025)

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? - Zihan Zheng; Zerui Cheng; Zeyu Shen; Shang Zhou; Kaiyuan Liu; Hansen He; Dongruixuan Li; Stanley Wei; Hangyi Hao; Jianzhu Yao; Peiyao Sheng; Zixuan Wang; et al. (CoRR, 2025)

VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM. - Lesheng Jin; Zhenyuan Ruan; Haohui Mai; Jingbo Shang (CoRR, 2025)

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. - Weizhi Zhang 001; Yangning Li; Yuanchen Bei; Junyu Luo 002; Guancheng Wan; Liangwei Yang; Chenxuan Xie; Yuyao Yang; Wei-Chieh Huang; Chunyu Miao; Henry Peng Zou; Xiao Luo 001; et al. (CoRR, 2025)

ReMem: Mutual Information-Aware Fine-tuning of Pretrained Vision Transformers for Effective Knowledge Distillation. - Chengyu Dong; Huan Gui; Noveen Sachdeva; Long Jin; Ke Yin; Jingbo Shang; Lichan Hong; Ed H. Chi; Zhe Zhao 001 (CoRR, 2025)

CTRLS: Chain-of-Thought Reasoning via Latent State-Transition. - Junda Wu; Yuxin Xiong; Xintong Li 001; Zhengmian Hu; Tong Yu 001; Rui Wang 088; Xiang Chen; Jingbo Shang; Julian J. McAuley (CoRR, 2025)