Jingbo Shang
Orcid: 0000-0002-7249-4404Affiliations:
- University of California, San Diego, Department of Computer Science and Engineering, CA, USA
According to our database1,
Jingbo Shang
authored at least 141 papers
between 2014 and 2024.
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Bibliography
2024
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning.
CoRR, 2024
CoRR, 2024
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models.
CoRR, 2024
Answer is All You Need: Instruction-following Text Embedding via Answering the Question.
CoRR, 2024
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.
CoRR, 2024
CoRR, 2024
2023
CoRR, 2023
Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking.
CoRR, 2023
CoRR, 2023
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation.
CoRR, 2023
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Text Is All You Need: Learning Language Representations for Sequential Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation.
CoRR, 2022
SoTeacher: A Student-oriented Teacher Network Training Framework for Knowledge Distillation.
CoRR, 2022
Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Towards Comprehensive Patent Approval Predictions: Beyond Traditional Document Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Constructing and mining structured heterogeneous information networks from massive text corpora
PhD thesis, 2019
Proc. VLDB Endow., 2019
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining.
CoRR, 2019
Bioinform., 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Proceedings of the Fourth Arabic Natural Language Processing Workshop, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
IEEE Trans. Knowl. Data Eng., 2018
IEEE Trans. Knowl. Data Eng., 2018
CoRR, 2018
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling.
CoRR, 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01910-4, 2017
Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining.
J. Comput. Biol., 2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the 2017 ACM International Conference on Management of Data, 2017
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
An Attention-based Collaboration Framework for Multi-View Network Representation Learning.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks.
CoRR, 2016
Proceedings of the 25th International Conference on World Wide Web, 2016
DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015
2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014