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ORCIDJingbo Shang
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- affiliation: University of California, San Diego, Department of Computer Science and Engineering, CA, USA
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2020 – today
- 2024
[c123]Letian Peng, Yuwei Zhang, Jingbo Shang:
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation. ACL (Findings) 2024: 1-16- [c122]Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang:
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. ACL (1) 2024: 459-477 - [c121]Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang:
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving. ACL (1) 2024: 776-790 - [c120]Li Zhong, Zilong Wang, Jingbo Shang:
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step. ACL (Findings) 2024: 851-870 - [c119]Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang:
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning. ACL (1) 2024: 3065-3080 - [c118]Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang:
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. ACL (Findings) 2024: 4348-4362 - [c117]Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang:
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. ACL (1) 2024: 5218-5234 - [c116]Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen, Philip S. Yu:
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products. ACL (Findings) 2024: 8631-8643 - [c115]Dheeraj Mekala, Alex Nguyen, Jingbo Shang:
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models. ACL (Findings) 2024: 10456-10470 - [c114]William P. Hogan, Andrew Bartko, Jingbo Shang, Chun-Nan Hsu:
MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction. BioNLP@ACL 2024: 398-408 - [c113]Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang:
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation. LREC/COLING 2024: 16514-16526 - [c112]Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang:
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. EMNLP 2024: 3741-3752 - [c111]Letian Peng, Zilong Wang, Jingbo Shang:
Incubating Text Classifiers Following User Instruction with Nothing but LLM. EMNLP 2024: 3753-3766 - [c110]Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu:
TOOLVERIFIER: Generalization to New Tools via Self-Verification. EMNLP (Findings) 2024: 5026-5041 - [c109]Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang:
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. EMNLP (Findings) 2024: 7309-7319 - [c108]Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang:
Open-world Multi-label Text Classification with Extremely Weak Supervision. EMNLP 2024: 15084-15096 - [c107]Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang:
Data Contamination Can Cross Language Barriers. EMNLP 2024: 17864-17875 - [c106]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:
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. ICLR 2024 - [c105]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Fast-ELECTRA for Efficient Pre-training. ICLR 2024 - [c104]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Toward Student-oriented Teacher Network Training for Knowledge Distillation. ICLR 2024 - [c103]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:
MEMORYLLM: Towards Self-Updatable Large Language Models. ICML 2024 - [c102]Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang:
Large Language Models for Time Series: A Survey. IJCAI 2024: 8335-8343 - [c101]Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala:
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering. NAACL (Demonstrations) 2024: 128-136 - [c100]Dawei Li, William Hogan, Jingbo Shang:
READ: Improving Relation Extraction from an ADversarial Perspective. NAACL-HLT (Findings) 2024: 533-548 - [c99]Lisa Liu, Ryan Liu, Angela Tsai, Jingbo Shang:
CloudSheep System for WMT24 Discourse-Level Literary Translation. WMT 2024: 960-966 - [c98]Jiayun Zhang
, Shuheng Li, Haiyu Huang, Zihan Wang, Xiaohan Fu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. WWW 2024: 2976-2985 - [i116]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:
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. CoRR abs/2401.04398 (2024) - [i115]Niraj Yagnik, Jay Jhaveri, Vivek Sharma, Gabriel Pila, Asma Ben, Jingbo Shang:
MedLM: Exploring Language Models for Medical Question Answering Systems. CoRR abs/2401.11389 (2024) - [i114]Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang:
Large Language Models for Time Series: A Survey. CoRR abs/2402.01801 (2024) - [i113]Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang:
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. CoRR abs/2402.02658 (2024) - [i112]Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao:
Learning a Decision Tree Algorithm with Transformers. CoRR abs/2402.03774 (2024) - [i111]Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley:
MEMORYLLM: Towards Self-Updatable Large Language Models. CoRR abs/2402.04624 (2024) - [i110]Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang:
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. CoRR abs/2402.09642 (2024) - [i109]Dheeraj Mekala, Alex Nguyen, Jingbo Shang:
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models. CoRR abs/2402.10430 (2024) - [i108]Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu:
TOOLVERIFIER: Generalization to New Tools via Self-Verification. CoRR abs/2402.14158 (2024) - [i107]Lily Zhong, Zilong Wang, Jingbo Shang:
LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step. CoRR abs/2402.16906 (2024) - [i106]Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang:
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning. CoRR abs/2403.20046 (2024) - [i105]Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala:
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering. CoRR abs/2404.00439 (2024) - [i104]Letian Peng, Zilong Wang, Feng Yao, Zihan Wang, Jingbo Shang:
MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks. CoRR abs/2404.00457 (2024) - [i103]Dawei Li, William Hogan, Jingbo Shang:
READ: Improving Relation Extraction from an ADversarial Perspective. CoRR abs/2404.02931 (2024) - [i102]Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang:
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving. CoRR abs/2404.07382 (2024) - [i101]Letian Peng, Jingbo Shang:
Incubating Text Classifiers Following User Instruction with Nothing but LLM. CoRR abs/2404.10877 (2024) - [i100]Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang:
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. CoRR abs/2404.14372 (2024) - [i99]Yongqi Tong, Sizhe Wang, Dawei Li, Yifan Wang, Simeng Han, Zi Lin, Chengsong Huang, Jiaxin Huang, Jingbo Shang:
Optimizing Language Model's Reasoning Abilities with Weak Supervision. CoRR abs/2405.04086 (2024) - [i98]Letian Peng, Jingbo Shang:
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing. CoRR abs/2405.07726 (2024) - [i97]William Hogan, Jingbo Shang:
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction. CoRR abs/2406.00226 (2024) - [i96]Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang:
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. CoRR abs/2406.04460 (2024) - [i95]Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang:
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. CoRR abs/2406.11115 (2024) - [i94]Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang:
Data Contamination Can Cross Language Barriers. CoRR abs/2406.13236 (2024) - [i93]Jingbo Shang, Zai Zheng, Xiang Ying, Felix Tao, Mindverse Team:
AI-native Memory: A Pathway from LLMs Towards AGI. CoRR abs/2406.18312 (2024) - [i92]Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang:
Open-world Multi-label Text Classification with Extremely Weak Supervision. CoRR abs/2407.05609 (2024) - [i91]Alex Nguyen, Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
When is the consistent prediction likely to be a correct prediction? CoRR abs/2407.05778 (2024) - [i90]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:
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. CoRR abs/2407.08223 (2024) - [i89]Zilong Wang, Yuedong Cui, Li Zhong, Zimin Zhang, Da Yin, Bill Yuchen Lin, Jingbo Shang:
OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation. CoRR abs/2407.19056 (2024) - [i88]Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley:
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR abs/2407.20454 (2024) - [i87]Chaojun Xiao, Zhengyan Zhang, Chenyang Song, Dazhi Jiang, Feng Yao, Xu Han, Xiaozhi Wang, Shuo Wang, Yufei Huang, Guanyu Lin, Yingfa Chen, Weilin Zhao, Yuge Tu, Zexuan Zhong, Ao Zhang, Chenglei Si, Moo Khai Hao, Chenyang Zhao, Huimin Chen, Yankai Lin, Zhiyuan Liu, Jingbo Shang, Maosong Sun:
Configurable Foundation Models: Building LLMs from a Modular Perspective. CoRR abs/2409.02877 (2024) - [i86]Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li:
RNR: Teaching Large Language Models to Follow Roles and Rules. CoRR abs/2409.13733 (2024) - [i85]Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley:
Visual Prompting in Multimodal Large Language Models: A Survey. CoRR abs/2409.15310 (2024) - [i84]Letian Peng, Chenyang An, Jingbo Shang:
Correlation and Navigation in the Vocabulary Key Representation Space of Language Models. CoRR abs/2410.02284 (2024) - [i83]Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao:
Vector-ICL: In-context Learning with Continuous Vector Representations. CoRR abs/2410.05629 (2024) - [i82]Xiyuan Zhang, Diyan Teng, Ranak Roy Chowdhury, Shuheng Li, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
UniMTS: Unified Pre-training for Motion Time Series. CoRR abs/2410.19818 (2024) - [i81]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:
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. CoRR abs/2410.23703 (2024) - [i80]Chenyang An, Shima Imani, Feng Yao, Chengyu Dong, Ali Abbasi, Harsh Shrivastava, Samuel Buss, Jingbo Shang, Gayathri Mahalingam, Pramod Sharma, Maurice Diesendruck:
Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. CoRR abs/2411.00863 (2024) - 2023
- [c97]Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
PrimeNet: Pre-training for Irregular Multivariate Time Series. AAAI 2023: 7184-7192 - [c96]Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. ACL (Findings) 2023: 2026-2041 - [c95]Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang:
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches. ACL (Findings) 2023: 3944-3962 - [c94]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. ACL (Findings) 2023: 10105-10118 - [c93]Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho D. Choi:
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach. ACL (1) 2023: 12223-12239 - [c92]Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang:
WOT-Class: Weakly Supervised Open-world Text Classification. CIKM 2023: 2666-2675 - [c91]Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Unleashing the Power of Shared Label Structures for Human Activity Recognition. CIKM 2023: 3340-3350 - [c90]Chengyu Dong, Zihan Wang, Jingbo Shang:
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. EMNLP 2023: 483-493 - [c89]Zilong Wang, Jingbo Shang:
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path. EMNLP (Findings) 2023: 4254-4265 - [c88]Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang:
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. EMNLP (Findings) 2023: 4694-4702 - [c87]Zi Lin, Quan Yuan, Panupong Pasupat, Jeremiah Z. Liu, Jingbo Shang:
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty. EMNLP (Findings) 2023: 6330-6345 - [c86]Zihan Wang, Jingbo Shang, Ruiqi Zhong:
Goal-Driven Explainable Clustering via Language Descriptions. EMNLP 2023: 10626-10649 - [c85]Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang:
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. EMNLP (Findings) 2023: 10721-10734 - [c84]Letian Peng, Zihan Wang, Jingbo Shang:
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision. EMNLP (Findings) 2023: 13603-13616 - [c83]Yuwei Zhang, Zihan Wang, Jingbo Shang:
ClusterLLM: Large Language Models as a Guide for Text Clustering. EMNLP 2023: 13903-13920 - [c82]William Hogan, Jiacheng Li, Jingbo Shang:
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. EMNLP 2023: 14227-14242 - [c81]Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
Towards Diverse and Coherent Augmentation for Time-Series Forecasting. ICASSP 2023: 1-5 - [c80]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. ICCV 2023: 3067-3077 - [c79]Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang:
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. ICLR 2023 - [c78]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. ICML 2023: 8244-8259 - [c77]Weitang Liu, Yi-Zhuang You, Ying-Wai Li, Jingbo Shang:
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space. ICML 2023: 22338-22351 - [c76]Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework. IJCAI 2023: 2450-2458 - [c75]Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley:
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. KDD 2023: 1248-1257 - [c74]Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley:
Text Is All You Need: Learning Language Representations for Sequential Recommendation. KDD 2023: 1258-1267 - [c73]Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework. KDD 2023: 3297-3308 - [c72]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:
Physics-Informed Data Denoising for Real-Life Sensing Systems. SenSys 2023: 83-96 - [c71]Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang:
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability. UniReps 2023: 27-46 - [i79]Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Federated Learning with Client-Exclusive Classes. CoRR abs/2301.00489 (2023) - [i78]Xiyuan Zhang, Ranak Roy Chowdhury, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Modeling Label Semantics Improves Activity Recognition. CoRR abs/2301.03462 (2023) - [i77]Zi Lin, Jeremiah Z. Liu, Jingbo Shang:
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. CoRR abs/2301.11459 (2023) - [i76]Weitang Liu, Ying-Wai Li, Yi-Zhuang You, Jingbo Shang:
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space. CoRR abs/2302.09484 (2023) - [i75]Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh Gupta, Dezhi Hong:
Towards Diverse and Coherent Augmentation for Time-Series Forecasting. CoRR abs/2303.14254 (2023) - [i74]Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang:
WOT-Class: Weakly Supervised Open-world Text Classification. CoRR abs/2305.12401 (2023) - [i73]Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang:
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches. CoRR abs/2305.12749 (2023) - [i72]William Hogan, Jiacheng Li, Jingbo Shang:
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. CoRR abs/2305.13533 (2023) - [i71]Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley:
Text Is All You Need: Learning Language Representations for Sequential Recommendation. CoRR abs/2305.13731 (2023) - [i70]Zihan Wang, Jingbo Shang, Ruiqi Zhong:
Goal-Driven Explainable Clustering via Language Descriptions. CoRR abs/2305.13749 (2023) - [i69]Zilong Wang, Jingbo Shang:
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path. CoRR abs/2305.13805 (2023) - [i68]Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang:
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. CoRR abs/2305.14696 (2023) - [i67]Chengyu Dong, Zihan Wang, Jingbo Shang:
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. CoRR abs/2305.14794 (2023) - [i66]Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang:
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation. CoRR abs/2305.14828 (2023) - [i65]Yuwei Zhang, Zihan Wang, Jingbo Shang:
ClusterLLM: Large Language Models as a Guide for Text Clustering. CoRR abs/2305.14871 (2023) - [i64]Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho D. Choi:
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach. CoRR abs/2305.18350 (2023) - [i63]Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. CoRR abs/2306.01016 (2023) - [i62]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. CoRR abs/2307.01933 (2023) - [i61]Letian Peng, Yuwei Zhang, Jingbo Shang:
Generating Efficient Training Data via LLM-based Attribute Manipulation. CoRR abs/2307.07099 (2023) - [i60]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. CoRR abs/2308.03685 (2023) - [i59]An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley:
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR abs/2310.03182 (2023) - [i58]Liangchen Luo, Zi Lin, Yinxiao Liu, Lei Shu, Yun Zhu, Jingbo Shang, Lei Meng:
Critique Ability of Large Language Models. CoRR abs/2310.04815 (2023) - [i57]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Fast-ELECTRA for Efficient Pre-training. CoRR abs/2310.07347 (2023) - [i56]Yongqi Tong, Yifan Wang, Dawei Li, Sizhe Wang, Zi Lin, Simeng Han, Jingbo Shang:
Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking. CoRR abs/2310.12342 (2023) - [i55]Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang:
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. CoRR abs/2310.17389 (2023) - [i54]Letian Peng, Zilong Wang, Hang Liu, Zihan Wang, Jingbo Shang:
EmojiLM: Modeling the New Emoji Language. CoRR abs/2311.01751 (2023) - [i53]Letian Peng, Zihan Wang, Jingbo Shang:
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision. CoRR abs/2311.02861 (2023) - [i52]Dawei Li, Yaxuan Li, Dheeraj Mekala, Shuyao Li, Yulin Wang, Xueqi Wang, William Hogan, Jingbo Shang:
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase. CoRR abs/2311.03319 (2023) - [i51]Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh Gupta:
Physics-Informed Data Denoising for Real-Life Sensing Systems. CoRR abs/2311.06968 (2023) - [i50]Weitang Liu, Ying-Wai Li, Tianle Wang, Yi-Zhuang You, Jingbo Shang:
OMNIINPUT: A Model-centric Evaluation Framework through Output Distribution. CoRR abs/2312.03291 (2023) - 2022
- [c70]Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang:
Unsupervised Deep Keyphrase Generation. AAAI 2022: 11303-11311 - [c69]Xiaochen Gao, Zhaoyi Hou, Yifei Ning, Kewen Zhao, Beilei He, Jingbo Shang, Vish Krishnan:
Towards Comprehensive Patent Approval Predictions: Beyond Traditional Document Classification. ACL (1) 2022: 349-372 - [c68]Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang:
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. ACL (Findings) 2022: 916-925 - [c67]Zi Lin, Jeremiah Zhe Liu, Jingbo Shang:
Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty. ACL (Findings) 2022: 4160-4173 - [c66]Zilong Wang, Jingbo Shang:
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework. ACL (Findings) 2022: 4174-4186 - [c65]Jiacheng Li, Jingbo Shang, Julian J. McAuley:
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. ACL (1) 2022: 6159-6169 - [c64]Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han:
Phrase-aware Unsupervised Constituency Parsing. ACL (1) 2022: 6406-6415 - [c63]Utkrisht Rajkumar, Sara Javadzadeh, Mihir Bafna, Dongxia Wu, Rose Yu, Jingbo Shang, Vineet Bafna:
DeepViFi: detecting oncoviral infections in cancer genomes using transformers. BCB 2022: 2:1-2:8 - [c62]William Hogan, Jiacheng Li, Jingbo Shang:
Fine-grained Contrastive Learning for Relation Extraction. EMNLP 2022: 1083-1095 - [c61]Sudhanshu Ranjan, Dheeraj Mekala, Jingbo Shang:
Progressive Sentiment Analysis for Code-Switched Text Data. EMNLP (Findings) 2022: 1155-1167 - [c60]Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang:
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition. EMNLP (Findings) 2022: 3186-3199 - [c59]Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu:
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding. EMNLP 2022: 3984-3993 - [c58]Zi Lin, Jeremiah Z. Liu, Jingbo Shang:
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. EMNLP 2022: 4759-4776 - [c57]Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. EMNLP (Findings) 2022: 4894-4908 - [c56]Dheeraj Mekala, Tu Vu, Timo Schick, Jingbo Shang:
Leveraging QA Datasets to Improve Generative Data Augmentation. EMNLP 2022: 9737-9750 - [c55]Lesheng Jin, Zihan Wang, Jingbo Shang:
WeDef: Weakly Supervised Backdoor Defense for Text Classification. EMNLP 2022: 11614-11626 - [c54]Ranak Roy Chowdhury, Xiyuan Zhang, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
TARNet: Task-Aware Reconstruction for Time-Series Transformer. KDD 2022: 212-220 - [c53]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting. NeurIPS 2022 - [c52]Shuheng Li, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification. SenSys 2022: 277-290 - [c51]Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
ESC-GAN: Extending Spatial Coverage of Physical Sensors. WSDM 2022: 1347-1356 - [c50]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. WWW 2022: 3153-3161 - [i49]Jiacheng Li, Jingbo Shang, Julian J. McAuley:
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. CoRR abs/2202.13469 (2022) - [i48]Zilong Wang, Jingbo Shang:
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework. CoRR abs/2204.05819 (2022) - [i47]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. CoRR abs/2204.13874 (2022) - [i46]Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang:
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition. CoRR abs/2205.11799 (2022) - [i45]Lesheng Jin, Zihan Wang, Jingbo Shang:
WeDef: Weakly Supervised Backdoor Defense for Text Classification. CoRR abs/2205.11803 (2022) - [i44]William Hogan, Jiacheng Li, Jingbo Shang:
Fine-grained Contrastive Learning for Relation Extraction. CoRR abs/2205.12491 (2022) - [i43]Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. CoRR abs/2205.12528 (2022) - [i42]Dheeraj Mekala, Tu Vu, Jingbo Shang:
Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation. CoRR abs/2205.12604 (2022) - [i41]Chengyu Dong, Liyuan Liu, Jingbo Shang:
SoTeacher: A Student-oriented Teacher Network Training Framework for Knowledge Distillation. CoRR abs/2206.06661 (2022) - [i40]Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley:
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation. CoRR abs/2209.13885 (2022) - [i39]Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang:
Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform. CoRR abs/2210.01989 (2022) - [i38]Sudhanshu Ranjan, Dheeraj Mekala, Jingbo Shang:
Progressive Sentiment Analysis for Code-Switched Text Data. CoRR abs/2210.14380 (2022) - [i37]Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu:
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding. CoRR abs/2211.14958 (2022) - 2021
- [c49]Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Sensei: Self-Supervised Sensor Name Segmentation. ACL/IJCNLP (Findings) 2021: 1017-1027 - [c48]Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng:
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. ACL/IJCNLP (1) 2021: 4568-4581 - [c47]Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
BFClass: A Backdoor-free Text Classification Framework. EMNLP (Findings) 2021: 444-453 - [c46]Dheeraj Mekala, Varun Gangal, Jingbo Shang:
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. EMNLP (1) 2021: 583-594 - [c45]Zilong Wang, Yiheng Xu, Lei Cui, Jingbo Shang, Furu Wei:
LayoutReader: Pre-training of Text and Layout for Reading Order Detection. EMNLP (1) 2021: 4735-4744 - [c44]Zihan Wang, Chengyu Dong, Jingbo Shang:
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. EMNLP (1) 2021: 5594-5603 - [c43]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. KDD 2021: 478-486 - [c42]Zihan Wang, Dheeraj Mekala, Jingbo Shang:
X-Class: Text Classification with Extremely Weak Supervision. NAACL-HLT 2021: 3043-3053 - [c41]Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han:
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. NAACL-HLT 2021: 4239-4249 - [c40]Peiran Li, Fang Guo, Jingbo Shang:
"Misc"-Aware Weakly Supervised Aspect Classification. SDM 2021: 468-476 - [c39]Shuheng Li, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification. SenSys 2021: 234-247 - [c38]Zhiqi Huang, Razieh Rahimi, Puxuan Yu, Jingbo Shang, James Allan:
AutoName: A Corpus-Based Set Naming Framework. SIGIR 2021: 2101-2105 - [c37]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. WWW 2021: 3258-3268 - [i36]Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Sensei: Self-Supervised Sensor Name Segmentation. CoRR abs/2101.00130 (2021) - [i35]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Data Profiling for Adversarial Training: On the Ruin of Problematic Data. CoRR abs/2102.07437 (2021) - [i34]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. CoRR abs/2102.11479 (2021) - [i33]Zihan Wang, Chengyu Dong, Jingbo Shang:
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. CoRR abs/2104.08673 (2021) - [i32]Xiuwen Zheng, Dheeraj Mekala, Amarnath Gupta, Jingbo Shang:
News Meets Microblog: Hashtag Annotation via Retriever-Generator. CoRR abs/2104.08723 (2021) - [i31]Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang:
Unsupervised Deep Keyphrase Generation. CoRR abs/2104.08729 (2021) - [i30]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. CoRR abs/2105.14078 (2021) - [i29]Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng:
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. CoRR abs/2107.02282 (2021) - [i28]Zilong Wang, Yiheng Xu, Lei Cui, Jingbo Shang, Furu Wei:
LayoutReader: Pre-training of Text and Layout for Reading Order Detection. CoRR abs/2108.11591 (2021) - [i27]Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
BFClass: A Backdoor-free Text Classification Framework. CoRR abs/2109.10855 (2021) - [i26]Dheeraj Mekala, Varun Gangal, Jingbo Shang:
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. CoRR abs/2109.10856 (2021) - [i25]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Double Descent in Adversarial Training: An Implicit Label Noise Perspective. CoRR abs/2110.03135 (2021) - 2020
- [c36]Dheeraj Mekala, Jingbo Shang:
Contextualized Weak Supervision for Text Classification. ACL 2020: 323-333 - [c35]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. ACL 2020: 8151-8160 - [c34]Yang Jiao, Jiacheng Li, Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang:
SeNsER: Learning Cross-Building Sensor Metadata Tagger. EMNLP (Findings) 2020: 950-960 - [c33]Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han:
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. EMNLP (1) 2020: 8292-8307 - [c32]Dheeraj Mekala, Xinyang Zhang, Jingbo Shang:
META: Metadata-Empowered Weak Supervision for Text Classification. EMNLP (1) 2020: 8351-8361 - [c31]Chengyu Dong, Liyuan Liu, Zichao Li, Jingbo Shang:
Towards Adaptive Residual Network Training: A Neural-ODE Perspective. ICML 2020: 2616-2626 - [c30]Meng Jiang, Jingbo Shang:
Scientific Text Mining and Knowledge Graphs. KDD 2020: 3537-3538 - [c29]Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han:
FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams. ECML/PKDD (3) 2020: 617-632 - [c28]Jingbo Shang, Xinyang Zhang, Liyuan Liu, Sha Li, Jiawei Han:
NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network. WWW 2020: 1908-1919 - [i24]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. CoRR abs/2004.13897 (2020) - [i23]Peiran Li, Fang Guo, Jingbo Shang:
User-Guided Aspect Classification for Domain-Specific Texts. CoRR abs/2004.14555 (2020) - [i22]Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han:
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. CoRR abs/2009.13827 (2020) - [i21]Zichao Li, Liyuan Liu, Chengyu Dong, Jingbo Shang:
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training. CoRR abs/2010.08034 (2020) - [i20]Zihan Wang, Dheeraj Mekala, Jingbo Shang:
X-Class: Text Classification with Extremely Weak Supervision. CoRR abs/2010.12794 (2020)
2010 – 2019
- 2019
- [b2]Jingbo Shang:
Constructing and mining structured heterogeneous information networks from massive text corpora. University of Illinois Urbana-Champaign, USA, 2019 - [j5]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type biomedical named entity recognition with deep multi-task learning. Bioinform. 35(10): 1745-1752 (2019) - [j4]Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han:
TextCube: Automated Construction and Multidimensional Exploration. Proc. VLDB Endow. 12(12): 1974-1977 (2019) - [c27]Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, Jiawei Han:
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. BIBM 2019: 496-503 - [c26]Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han:
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. EMNLP/IJCNLP (1) 2019: 5153-5162 - [c25]Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han:
Constructing and Mining Heterogeneous Information Networks from Massive Text. KDD 2019: 3191-3192 - [c24]Liyuan Liu, Jingbo Shang, Jiawei Han:
Arabic Named Entity Recognition: What Works and What's Next. WANLP@ACL 2019 2019: 60-67 - [c23]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. WSDM 2019: 42-50 - [i19]Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han:
Raw-to-End Name Entity Recognition in Social Media. CoRR abs/1908.05344 (2019) - [i18]Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han:
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. CoRR abs/1909.01441 (2019) - [i17]Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han:
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR abs/1910.01451 (2019) - [i16]Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han:
FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams. CoRR abs/1910.04345 (2019) - [i15]Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han:
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. CoRR abs/1910.08192 (2019) - 2018
- [j3]Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han:
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. IEEE Trans. Knowl. Data Eng. 30(7): 1226-1239 (2018) - [j2]Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han:
Automated Phrase Mining from Massive Text Corpora. IEEE Trans. Knowl. Data Eng. 30(10): 1825-1837 (2018) - [c22]Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. AAAI 2018: 5253-5260 - [c21]Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han:
Investigating Rumor News Using Agreement-Aware Search. CIKM 2018: 2117-2125 - [c20]Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. EMNLP 2018: 1215-1225 - [c19]Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. EMNLP 2018: 2054-2064 - [c18]Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han:
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. SIGIR 2018: 565-574 - [c17]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Open Information Extraction with Global Structure Constraints. WWW (Companion Volume) 2018: 57-58 - [i14]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning. CoRR abs/1801.09851 (2018) - [i13]Jingbo Shang, Xiyao Shi, Meng Jiang, Liyuan Liu, Timothy P. Hanratty, Jiawei Han:
Contrast Subgraph Mining from Coherent Cores. CoRR abs/1802.06189 (2018) - [i12]Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han:
Investigating Rumor News Using Agreement-Aware Search. CoRR abs/1802.07398 (2018) - [i11]Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. CoRR abs/1804.07827 (2018) - [i10]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. CoRR abs/1804.09931 (2018) - [i9]Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han:
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. CoRR abs/1804.10877 (2018) - [i8]Jingbo Shang, Liyuan Liu, Xiang Ren, Xiaotao Gu, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. CoRR abs/1809.03599 (2018) - 2017
- [b1]Jialu Liu, Jingbo Shang, Jiawei Han:
Phrase Mining from Massive Text and Its Applications. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2017, ISBN 978-3-031-00782-8 - [j1]Xiuli Ma, Guangyu Zhou, Jingbo Shang, Jingjing Wang, Jian Peng, Jiawei Han:
Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining. J. Comput. Biol. 24(9): 923-941 (2017) - [c16]Quan Yuan, Jingbo Shang, Xin Cao, Chao Zhang, Xinhe Geng, Jiawei Han:
Detecting Multiple Periods and Periodic Patterns in Event Time Sequences. CIKM 2017: 617-626 - [c15]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CIKM 2017: 1767-1776 - [c14]Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. KDD 2017: 877-886 - [c13]Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han:
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. ECML/PKDD (1) 2017: 288-304 - [c12]Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han:
Building Structured Databases of Factual Knowledge from Massive Text Corpora. SIGMOD Conference 2017: 1741-1745 - [c11]Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han:
Constructing Structured Information Networks from Massive Text Corpora. WWW (Companion Volume) 2017: 951-954 - [i7]Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han:
Automated Phrase Mining from Massive Text Corpora. CoRR abs/1702.04457 (2017) - [i6]Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. CoRR abs/1703.04213 (2017) - [i5]Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. CoRR abs/1709.04109 (2017) - [i4]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CoRR abs/1709.06636 (2017) - 2016
- [c10]Qian Cheng, Jingbo Shang, Joshua Juen, Jiawei Han, Bruce R. Schatz:
Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients. BCB 2016: 41-49 - [c9]Hongkun Yu, Jingbo Shang, Meichun Hsu, Malú Castellanos, Jiawei Han:
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis. CIKM 2016: 939-948 - [c8]Jingbo Shang, Jian Peng, Jiawei Han:
MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance. SDM 2016: 558-566 - [c7]Jingbo Shang, Wenzhu Tong, Jian Peng, Jiawei Han:
DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework. SDM 2016: 567-575 - [c6]Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han:
Representing Documents via Latent Keyphrase Inference. WWW 2016: 1057-1067 - [i3]Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng:
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks. CoRR abs/1610.09769 (2016) - [i2]Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han:
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. CoRR abs/1610.09778 (2016) - 2015
- [c5]Liang Hong, Yu Zheng, Duncan Yung, Jingbo Shang, Lei Zou:
Detecting urban black holes based on human mobility data. SIGSPATIAL/GIS 2015: 35:1-35:10 - [c4]Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, Jiawei Han:
Mining Quality Phrases from Massive Text Corpora. SIGMOD Conference 2015: 1729-1744 - 2014
- [c3]Diyi Yang, Jingbo Shang, Carolyn Penstein Rosé:
Constrained Question Recommendation in MOOCs via Submodularity. CIKM 2014: 1987-1990 - [c2]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. ICDM 2014: 971-976 - [c1]Jingbo Shang, Yu Zheng, Wenzhu Tong, Eric Chang, Yong Yu:
Inferring gas consumption and pollution emission of vehicles throughout a city. KDD 2014: 1027-1036 - [i1]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. CoRR abs/1410.6414 (2014)
Coauthor Index
[c64] [c50] [i47] [c43] [c41] [c37] [i34] [i30] [c35] [c33] [c29] [c28] [i24] [i22] [j5] [j4] [c27] [c26] [c25] [c24] [c23] [i19] [i18] [i17] [i16] [i15] [j3] [j2] [c22] [c21] [c20] [c19] [c18] [c17] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [b1] [j1] [c16] [c15] [c14] [c13] [c12] [c11] [i7] [i6] [i5] [i4] [c10] [c9] [c8] [c7] [c6] [i3] [i2] [c4]
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-12 20:58 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
