Shumin Deng

Orcid: 0000-0002-4049-8478

According to our database1, Shumin Deng authored at least 77 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Sequence Labeling as Non-Autoregressive Dual-Query Set Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Detoxifying Large Language Models via Knowledge Editing.
CoRR, 2024

Editing Conceptual Knowledge for Large Language Models.
CoRR, 2024

KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents.
CoRR, 2024

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection.
CoRR, 2024

A Comprehensive Study of Knowledge Editing for Large Language Models.
CoRR, 2024

When Do Program-of-Thought Works for Reasoning?
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Towards A Unified View of Answer Calibration for Multi-Step Reasoning.
CoRR, 2023

Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View.
CoRR, 2023

When Do Program-of-Thoughts Work for Reasoning?
CoRR, 2023

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities.
CoRR, 2023

Continual Multimodal Knowledge Graph Construction.
CoRR, 2023

Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multimodal Analogical Reasoning over Knowledge Graphs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Editing Large Language Models: Problems, Methods, and Opportunities.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Reasoning with Language Model Prompting: A Survey.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Low-resource extraction with knowledge-aware pairwise prototype learning.
Knowl. Based Syst., 2022

Robust triple extraction with cascade bidirectional capsule network.
Expert Syst. Appl., 2022

Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction.
CoRR, 2022

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.
CoRR, 2022

Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective.
CoRR, 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.
CoRR, 2022

Ontology-enhanced Prompt-tuning for Few-shot Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners.
Proceedings of the Tenth International Conference on Learning Representations, 2022

OntoProtein: Protein Pretraining With Gene Ontology Embedding.
Proceedings of the Tenth International Conference on Learning Representations, 2022

LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Molecular Contrastive Learning with Chemical Element Knowledge Graph.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Knowledge graph embeddings for dealing with concept drift in machine learning.
J. Web Semant., 2021

Contrastive Information Extraction With Generative Transformer.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Learning to Ask for Data-Efficient Event Argument Extraction.
CoRR, 2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
CoRR, 2021

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba.
CoRR, 2021

Text-guided Legal Knowledge Graph Reasoning.
CoRR, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.
CoRR, 2021

ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules.
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Document-level Relation Extraction as Semantic Segmentation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Disentangled Contrastive Learning for Learning Robust Textual Representations.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

On Robustness and Bias Analysis of BERT-Based Relation Extraction.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

Text-Guided Legal Knowledge Graph Reasoning.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

MLBiNet: A Cross-Sentence Collective Event Detection Network.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

OntoED: Low-resource Event Detection with Ontology Embedding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Contrastive Triple Extraction with Generative Transformer.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis.
CoRR, 2020

Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction.
CoRR, 2020

Relation Adversarial Network for Low Resource Knowledge Graph Completion.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Joint Extraction of Triple Knowledge Based on Relation Priority.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

OpenUE: An Open Toolkit of Universal Extraction from Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Knowledge-Enhanced Collaborative Meta Learner for Long-Tail Recommendation.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020

When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Relation Adversarial Network for Low Resource KnowledgeGraph Completion.
CoRR, 2019

Improving Few-shot Text Classification via Pretrained Language Representations.
CoRR, 2019

Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning.
CoRR, 2019

Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

2018
Structured Knowledge Base as Prior Knowledge to Improve Urban Data Analysis.
ISPRS Int. J. Geo Inf., 2018

Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction.
CoRR, 2018

Attention-Based Capsule Network with Dynamic Routing for Relation Extraction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deep Learning for Knowledge-Driven Ontology Stream Prediction.
Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018

2017
CrowdGeoKG: Crowdsourced Geo-Knowledge Graph.
Proceedings of the Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence, 2017


  Loading...