Jiaming Shen

Orcid: 0000-0002-0467-4956

According to our database1, Jiaming Shen authored at least 63 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision.
CoRR, 2024

LiPO: Listwise Preference Optimization through Learning-to-Rank.
CoRR, 2024

2023
Design of current steering logic CMOS circuit.
Microelectron. J., November, 2023

On What Basis? Predicting Text Preference Via Structured Comparative Reasoning.
CoRR, 2023

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning.
CoRR, 2023

Bridging the Gap: Fine-to-Coarse Sketch Interpolation Network for High-Quality Animation Sketch Inbetweening.
CoRR, 2023

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.
CoRR, 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.
CoRR, 2023

Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation.
CoRR, 2023

"Why is this misleading?": Detecting News Headline Hallucinations with Explanations.
Proceedings of the ACM Web Conference 2023, 2023

Unsupervised Event Chain Mining from Multiple Documents.
Proceedings of the ACM Web Conference 2023, 2023

HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Local Boosting for Weakly-Supervised Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Disentangling Relevance and Bias in Unbiased Learning to Rank.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Automated Taxonomy Discovery and Exploration
Synthesis Lectures on Data Mining and Knowledge Discovery, Springer, ISBN: 978-3-031-11405-2, 2022

OmniNeRF: Hybriding Omnidirectional Distance and Radiance fields for Neural Surface Reconstruction.
CoRR, 2022

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach.
CoRR, 2022

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Unsupervised Key Event Detection from Massive Text Corpora.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Phrase-aware Unsupervised Constituency Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Integrated Scheduling Strategy for Private Electric Vehicles and Electric Taxis.
IEEE Trans. Ind. Informatics, 2021

Eider: Evidence-enhanced Document-level Relation Extraction.
CoRR, 2021

Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion.
CoRR, 2021

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Corpus-based Open-Domain Event Type Induction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Training ELECTRA Augmented with Multi-word Selection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Taxonomy Completion via Triplet Matching Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Charging Strategy Unifying Spatial-Temporal Coordination of Electric Vehicles.
IEEE Access, 2020

TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Leveraging Personalized Sentiment Lexicons for Sentiment Analysis.
Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 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

Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Empower Entity Set Expansion via Language Model Probing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining.
CoRR, 2019

Constructing and Mining Heterogeneous Information Networks from Massive Text.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Query-Specific Knowledge Summarization with Entity Evolutionary Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Mining Entity Synonyms with Efficient Neural Set Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Weakly-Supervised Hierarchical Text Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Investigating Rumor News Using Agreement-Aware Search.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Weakly-Supervised Neural Text Classification.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

End-to-End Reinforcement Learning for Automatic Taxonomy Induction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017.
CoRR, 2017

SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
AceMap: A Novel Approach towards Displaying Relationship among Academic Literatures.
Proceedings of the 25th International Conference on World Wide Web, 2016

Text Network Exploration via Heterogeneous Web of Topics.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Modeling Topic-Level Academic Influence in Scientific Literatures.
Proceedings of the Scholarly Big Data: AI Perspectives, 2016


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