Ningyu Zhang

Orcid: 0000-0002-1970-0678

Affiliations:
  • Zhejiang University, College of Computer Science and Technology, Ant Group Joint Laboratory of Knowledge Graph, Hangzhou, China


According to our database1, Ningyu Zhang authored at least 161 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Relphormer: Relational Graph Transformer for Knowledge Graph Representations.
Neurocomputing, January, 2024

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

The Future of Molecular Studies through the Lens of Large Language Models.
J. Chem. Inf. Model., 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

InstructEdit: Instruction-based Knowledge Editing for Large Language Models.
CoRR, 2024

IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus.
CoRR, 2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.
CoRR, 2024

Unified Hallucination Detection for Multimodal Large Language Models.
CoRR, 2024

EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models.
CoRR, 2024

DeCoF: Generated Video Detection via Frame Consistency.
CoRR, 2024

Neighboring Perturbations of Knowledge Editing on Large Language Models.
CoRR, 2024

Weaver: Foundation Models for Creative Writing.
CoRR, 2024

AUTOACT: Automatic Agent Learning from Scratch via Self-Planning.
CoRR, 2024

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

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Editing Language Model-Based Knowledge Graph Embeddings.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Knowledge graph-enhanced molecular contrastive learning with functional prompt.
Nat. Mac. Intell., May, 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

FactCHD: Benchmarking Fact-Conflicting Hallucination Detection.
CoRR, 2023

Editing Personality for LLMs.
CoRR, 2023

Unveiling the Pitfalls of Knowledge Editing for Large Language Models.
CoRR, 2023

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

OceanGPT: A Large Language Model for Ocean Science Tasks.
CoRR, 2023

Tool-Augmented Reward Modeling.
CoRR, 2023

Agents: An Open-source Framework for Autonomous Language Agents.
CoRR, 2023

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

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding.
CoRR, 2023

EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models.
CoRR, 2023

Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models.
CoRR, 2023

Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems.
CoRR, 2023

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

Making Language Models Better Tool Learners with Execution Feedback.
CoRR, 2023

InstructIE: A Bilingual Instruction-based Information Extraction Dataset.
CoRR, 2023

Schema-adaptable Knowledge Graph Construction.
CoRR, 2023

Continual Multimodal Knowledge Graph Construction.
CoRR, 2023

Revisiting k-NN for Fine-tuning Pre-trained Language Models.
CoRR, 2023

CodeKGC: Code Language Model for Generative Knowledge Graph Construction.
CoRR, 2023

Domain-Agnostic Molecular Generation with Self-feedback.
CoRR, 2023

Editing Language Model-based Knowledge Graph Embeddings.
CoRR, 2023

A Concept Knowledge Graph for User Next Intent Prediction at Alipay.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 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

Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CAMVR: Context-Adaptive Multi-View Representation Learning for Dense Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2023

One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

Schema-adaptable Knowledge Graph Construction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Knowledge Rumination for Pre-trained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Can We Edit Multimodal Large Language Models?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting k-NN for Fine-Tuning Pre-trained Language Models.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

Low-Voltage Electrical Product Quality Problem-Solving Based on Improved Deep Structured Semantic Model.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 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

Class Lifelong Learning for Intent Detection via Structure Consolidation Networks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

On Analyzing the Role of Image for Visual-enhanced Relation Extraction.
CoRR, 2022

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

LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings
CoRR, 2022

Multi-modal Protein Knowledge Graph Construction and Applications.
CoRR, 2022

Relphormer: Relational Graph Transformer for Knowledge Graph Representation.
CoRR, 2022

Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce.
CoRR, 2022

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

Contrastive Demonstration Tuning for Pre-trained Language Models.
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

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Cross-Modal Knowledge Discovery, Inference, and Challenges.
Proceedings of the Reasoning Web. Causality, Explanations and Declarative Knowledge, 2022

Kformer: Knowledge Injection in Transformer Feed-Forward Layers.
Proceedings of the Natural Language Processing and Chinese Computing, 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

Shifting Perspective to See Difference: A Novel Multi-view Method for Skeleton based Action Recognition.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection.
Proceedings of the 11th International Joint Conference on Knowledge Graphs, 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

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generative Knowledge Graph Construction: A Review.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Contrastive Demonstration Tuning for Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Finding Influential Instances for Distantly Supervised Relation Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

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

3D-Transformer: Molecular Representation with Transformer in 3D Space.
CoRR, 2021

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

SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis.
CoRR, 2021

Knowledge Perceived Multi-modal Pretraining in E-commerce.
CoRR, 2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple 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

Interventional Aspect-Based Sentiment Analysis.
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

Field Embedding: A Unified Grain-Based Framework for Word Representation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Noisy-Labeled NER with Confidence Estimation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Knowledge Perceived Multi-modal Pretraining in E-commerce.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 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

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

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding.
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

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 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
Context-Aware Deep Model for Entity Recommendation System in Search Engine at Alibaba.
J. Multim. Process. Technol., 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

Conceptualized Representation Learning for Chinese Biomedical Text Mining.
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

Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 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

Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 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

Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba.
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

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

2016
Semantic Framework of Internet of Things for Smart Cities: Case Studies.
Sensors, 2016

Forecasting Public Transit Use by Crowdsensing and Semantic Trajectory Mining: Case Studies.
ISPRS Int. J. Geo Inf., 2016

ELM Meets Urban Big Data Analysis: Case Studies.
Comput. Intell. Neurosci., 2016

Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis.
Comput. Intell. Neurosci., 2016

2015
Large-Scale Real-Time Semantic Processing Framework for Internet of Things.
Int. J. Distributed Sens. Networks, 2015

Elastic Streaming Semantic Engine for Web of Things.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

2014
Time-series processing of large scale remote sensing data with extreme learning machine.
Neurocomputing, 2014

Big smog meets web science: smog disaster analysis based on social media and device data on the web.
Proceedings of the 23rd International World Wide Web Conference, 2014

HBaseSpatial: A Scalable Spatial Data Storage Based on HBase.
Proceedings of the 13th IEEE International Conference on Trust, 2014

SparkRDF: Elastic Discreted RDF Graph Processing Engine With Distributed Memory.
Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, 2014

Monitoring Urban Waterlogging Disaster Using Social Sensors.
Proceedings of the Semantic Web and Web Science - 8th Chinese Conference, 2014

2013
When big data meets big smog: a big spatio-temporal data framework for China severe smog analysis.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2013

OWL reasoning over big biomedical data.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013


  Loading...