Huajun Chen

Orcid: 0000-0001-5496-7442

According to our database1, Huajun Chen authored at least 364 papers between 2003 and 2024.

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Bibliography

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

Distributed representations of entities in open-world knowledge graphs.
Knowl. Based Syst., 2024

The Future of Molecular Studies through the Lens of Large Language Models.
J. Chem. Inf. Model., 2024

An improved salp swarm algorithm for collaborative scheduling of discrete manufacturing logistics with time windows.
Int. J. Auton. Adapt. Commun. Syst., 2024

A discrete bat algorithm for collaborative scheduling of discrete manufacturing logistics.
Int. J. Auton. Adapt. Commun. Syst., 2024

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs.
CoRR, 2024

InstructRL4Pix: Training Diffusion for Image Editing by Reinforcement Learning.
CoRR, 2024

SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models.
CoRR, 2024

Knowledge Circuits in Pretrained Transformers.
CoRR, 2024

Mixture of Modality Knowledge Experts for Robust Multi-modal Knowledge Graph Completion.
CoRR, 2024

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models.
CoRR, 2024

RaFe: Ranking Feedback Improves Query Rewriting for RAG.
CoRR, 2024

Agent Planning with World Knowledge Model.
CoRR, 2024

Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks.
CoRR, 2024

MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion.
CoRR, 2024

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition.
CoRR, 2024

Detoxifying Large Language Models via Knowledge Editing.
CoRR, 2024

InBox: Recommendation with Knowledge Graph using Interest Box Embedding.
CoRR, 2024

The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework.
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

Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion.
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

Weaver: Foundation Models for Creative Writing.
CoRR, 2024

Scientific Large Language Models: A Survey on Biological & Chemical Domains.
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

NativE: Multi-modal Knowledge Graph Completion in the Wild.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Prompt-fused Framework for Inductive Logical Query Answering.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DET: A Dual-Encoding Transformer for Relational Graph Embedding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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
Zero-Shot and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey.
Proc. IEEE, June, 2023

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

Benchmarking knowledge-driven zero-shot learning.
J. Web Semant., 2023

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

Differentiable learning of rules with constants in knowledge graph.
Knowl. Based Syst., 2023

Preface to the Special Issue on Knowledge-empowered Information Systems.
Int. J. Softw. Informatics, 2023

Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH.
Int. J. Distributed Sens. Networks, 2023

A discrete salp swarm algorithm for the vehicle routing problem with time windows.
Int. J. Auton. Adapt. Commun. Syst., 2023

Large Knowledge Model: Perspectives and Challenges.
CoRR, 2023

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering.
CoRR, 2023

Reliable Academic Conference Question Answering: A Study Based on Large Language Model.
CoRR, 2023

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

Making Large Language Models Perform Better in Knowledge Graph Completion.
CoRR, 2023

InstructProtein: Aligning Human and Protein Language via Knowledge Instruction.
CoRR, 2023

Editing Personality for LLMs.
CoRR, 2023

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

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

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

When Do Program-of-Thoughts Work for Reasoning?
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

Revisit and Outstrip Entity Alignment: A Perspective of Generative 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

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

Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer.
Proceedings of the ACM Web Conference 2023, 2023

NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning.
Proceedings of the Semantic Web - ISWC 2023, 2023

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment.
Proceedings of the Semantic Web - ISWC 2023, 2023

Learning Invariant Molecular Representation in Latent Discrete Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Graph Sampling-based Meta-Learning for Molecular Property Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

Multi-level Protein Structure Pre-training via Prompt Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Relational Message Passing for Fully Inductive Knowledge Graph Completion.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Tele-Knowledge Pre-training for Fault Analysis.
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

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

Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 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

Analogical Inference Enhanced Knowledge Graph Embedding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning.
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

Federated knowledge graph completion via embedding-contrastive learning.
Knowl. Based Syst., 2022

Hierarchical knowledge amalgamation with dual discriminative feature alignment.
Inf. Sci., 2022

Interactive communication with clustering collaboration for wireless powered communication networks.
Int. J. Distributed Sens. Networks, 2022

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

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
CoRR, 2022

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

Tele-Knowledge Pre-training for Fault Analysis.
CoRR, 2022

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

Ruleformer: Context-aware Differentiable Rule Mining over Knowledge Graph.
CoRR, 2022

Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph.
CoRR, 2022

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

DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning.
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

PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application.
CoRR, 2022

Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer.
CoRR, 2022

Unleashing the Power of Transformer for Graphs.
CoRR, 2022

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

Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective.
CoRR, 2022

Prompt-Guided Injection of Conformation to Pre-trained Protein Model.
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

DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 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

Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Kformer: Knowledge Injection in Transformer Feed-Forward Layers.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

Neural-Symbolic Entangled Framework for Complex Query Answering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Disentangled Ontology Embedding for Zero-shot Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Understanding and Improving Knowledge Graph Embedding for Entity Alignment.
Proceedings of the International Conference on Machine Learning, 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

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

Ruleformer: Context-aware Rule Mining over Knowledge Graph.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

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

Deep Reinforcement Learning for Entity Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 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

Explainable zero-shot learning via attentive graph convolutional network and knowledge graphs.
Semantic Web, 2021

Throughput optimization of multi-hop and multi-path cooperation in WPSNs with hardware noises.
Int. J. Distributed Sens. Networks, 2021

OpenKG Chain: A Blockchain Infrastructure for Open Knowledge Graphs.
Data Intell., 2021

Low-resource Learning with Knowledge Graphs: A Comprehensive Survey.
CoRR, 2021

Standing on the Shoulders of Predecessors: Meta-Knowledge Transfer for Knowledge Graphs.
CoRR, 2021

Principled Representation Learning for Entity Alignment.
CoRR, 2021

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

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

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

K-ZSL: Resources for Knowledge-driven Zero-shot Learning.
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

Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph.
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

Knowledge-aware Contrastive Molecular Graph Learning.
CoRR, 2021

OntoZSL: Ontology-enhanced Zero-shot Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Zero-Shot Visual Question Answering Using Knowledge Graph.
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 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

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

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

Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training.
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

FedE: Embedding Knowledge Graphs in Federated Setting.
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

Knowledge-aware Zero-Shot Learning: Survey and Perspective.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Billion-scale Pre-trained E-commerce Product Knowledge Graph Model.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph.
Proceedings of the 37th IEEE International Conference on Data Engineering, 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

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
Knowledge-Based Explanations for Transfer Learning.
Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020

A New Feature Extraction and Recognition Method for Microexpression Based on Local Non-negative Matrix Factorization.
Frontiers Neurorobotics, 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

DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning.
CoRR, 2020

Generative Adversarial Zero-shot Learning via Knowledge Graphs.
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

Message from General Chairs of IEEE AISA 2020.
Proceedings of the 2020 IEEE World Congress on Services, 2020

Ontology-guided Semantic Composition for Zero-shot Learning.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

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

Neural Entity Summarization with Joint Encoding and Weak Supervision.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 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

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

Zero-shot Text Classification via Reinforced Self-training.
Proceedings of the 58th Annual Meeting of the Association for 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

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

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

Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract].
CoRR, 2019

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning.
Proceedings of the World Wide Web Conference, 2019

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

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 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

Augmenting Transfer Learning with Semantic Reasoning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Incorporating Domain and Range of Relations for Knowledge Graph Completion.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

2018
A review: The effects of imperfect data on incremental decision tree.
Int. J. Inf. Commun. Technol., 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

FADS: Circular/Spherical Sector based Forwarding Area Division and Adaptive Forwarding Area Selection routing protocol in WSNs.
Ad Hoc Networks, 2018

Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning.
Proceedings of the Semantic Web - ISWC 2018, 2018

ProjR: Embedding Structure Diversity for Knowledge Graph Completion.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Knowledge-Based Transfer Learning Explanation.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, 2018

Vulnerability Detection for Source Code Using Contextual LSTM.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

A Dynamic and Static Combined Android Malicious Code Detection Model based on SVM.
Proceedings of the 5th International Conference on Systems and Informatics, 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

Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding.
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
Crowd intelligence in AI 2.0 era.
Frontiers Inf. Technol. Electron. Eng., 2017

Forecasting smog-related health hazard based on social media and physical sensor.
Inf. Syst., 2017

Learning from Ontology Streams with Semantic Concept Drift.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

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

MR-ELM: a MapReduce-based framework for large-scale ELM training in big data era.
Neural Comput. Appl., 2016

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

A decision support system using combined-classifier for high-speed data stream in smart grid.
Enterp. Inf. Syst., 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

Semantic Reasoning for Smog Disaster Analysis.
Proceedings of the 29th International Workshop on Description Logics, 2016

Joint beamforming and antenna subarray formation for secrecy capacity maximization in MIMO wiretap channels.
Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016

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

Observing Social Web for Smog Disaster Forecasting.
Proceedings of the ACM Web Science Conference, 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

Satellite Data Science: A Case Study for Smog Disaster Prediction from Multiple Satellite Observations.
Proceedings of the Data Science - Second International Conference, 2015

A scan chain optimization method for diagnosis.
Proceedings of the 33rd IEEE International Conference on Computer Design, 2015

Smog disaster forecasting using social web data and physical sensor data.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

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

BioTCM-SE: A Semantic Search Engine for the Information Retrieval of Modern Biology and Traditional Chinese Medicine.
Comput. Math. Methods Medicine, 2014

Modern bioinformatics meets traditional Chinese medicine.
Briefings Bioinform., 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

Matrix Completion for Cross-view Pairwise Constraint Propagation.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

A Verifiable Data Deduplication Scheme in Cloud Computing.
Proceedings of the 2014 International Conference on Intelligent Networking and Collaborative Systems, 2014

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

An Intelligent System for Forecasting the Trend of Consumed Electricity.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

A Review: The Effects of Imperfect Data on Incremental Decision Tree.
Proceedings of the 2014 Ninth International Conference on P2P, 2014

A Decision Support System Using Two-Level Classifier for Smart Grid.
Proceedings of the 2014 Ninth International Conference on P2P, 2014

2013
TCMSearch: an in-use semantic web infrastructure for traditional Chinese medicine.
Int. J. Funct. Informatics Pers. Medicine, 2013

Ontology-Oriented Diagnostic System for Traditional Chinese Medicine Based on Relation Refinement.
Comput. Math. Methods Medicine, 2013

Semantic Web meets Integrative Biology: a survey.
Briefings Bioinform., 2013

ELM-MapReduce: MapReduce accelerated extreme learning machine for big spatial data analysis.
Proceedings of the 10th IEEE International Conference on Control and Automation, 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

Data chaos: An entropy based MapReduce framework for scalable learning.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
From Semantic Grid to knowledge service cloud.
J. Zhejiang Univ. Sci. C, 2012

A multi-agent framework for mining semantic relations from linked data.
J. Zhejiang Univ. Sci. C, 2012

National semantic infrastructure for traditional Chinese medicine.
J. Zhejiang Univ. Sci. C, 2012

Semantic Web Meets Computational Intelligence: State of the Art and Perspectives [Review Article].
IEEE Comput. Intell. Mag., 2012

Special Issue on Semantic Web Meets Computational Intelligence [Guest Editorial].
IEEE Comput. Intell. Mag., 2012

2011
Relation discovery in medicine through Semantic Graph Routing.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

Knowledge-Driven Diagnostic System for Traditional Chinese Medicine.
Proceedings of the Semantic Web - Joint International Semantic Technology Conference, 2011

2010
Building trust in electronic communities by mining web content.
Int. J. Comput. Sci. Eng., 2010

Semantic SenseLab: Implementing the vision of the Semantic Web in neuroscience.
Artif. Intell. Medicine, 2010

Semantic-based Mobile Mashup Platform.
Proceedings of the ISWC 2010 Posters & Demonstrations Track: Collected Abstracts, 2010

Linked data based semantic similarity and data mining.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

A Chinese fuzzy autocompletion approach.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

A Semantic Bayesian Network for Web Mashup Network Construction.
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010

Virtual Machine Based Energy-Efficient Data Center Architecture for Cloud Computing: A Performance Perspective.
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010

Towards Our Real Life- SMMS: Semantic-Based Mobile Mashup System.
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010

2009
Subontology-Based Resource Management for Web-Based e-Learning.
IEEE Trans. Knowl. Data Eng., 2009

Mashup by Surfing a Web of Data APIs.
Proc. VLDB Endow., 2009

RCCtrust: A Combined Trust Model for Electronic Community.
J. Comput. Sci. Technol., 2009

Approaches to neuroscience data integration.
Briefings Bioinform., 2009

Semantic web for integrated network analysis in biomedicine.
Briefings Bioinform., 2009

sMash: semantic-based mashup navigation for data API network.
Proceedings of the 18th International Conference on World Wide Web, 2009

Semantic Text Mining with Linked Data.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009

Entrez Neuron RDFa: A Pragmatic Semantic Web Application for Data Integration in Neuroscience Research.
Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009

Collaborative Semantic Association Discovery from Linked Data.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

Mining User Behavior Pattern in Mashup Community.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

Deriving Similarity Graphs from Open Linked Data on Semantic Web.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

Ontology Based Semantic Relation Verification for TCM Semantic Grid.
Proceedings of the Fourth ChinaGrid Annual Conference, ChinaGrid 2009, Yantai, Shandong, 2009

MapReduce-Based Pattern Finding Algorithm Applied in Motif Detection for Prescription Compatibility Network.
Proceedings of the Advanced Parallel Processing Technologies, 8th International Symposium, 2009

2008
Semantic mashup of biomedical data.
J. Biomed. Informatics, 2008

A Survey on Semantic E-Science Applications.
Comput. Informatics, 2008

Browser-based Semantic Mapping Tool for Linked Data in Semantic Web.
Proceedings of the WWW2008 Workshop on Linked Data on the Web, 2008

Information retrieval and knowledge discovery on the semantic web of traditional chinese medicine.
Proceedings of the 17th International Conference on World Wide Web, 2008

Report on semantic web for health care and life sciences workshop.
Proceedings of the 17th International Conference on World Wide Web, 2008

Semantic Web-Based Data Service Discovery and Composition.
Proceedings of the Fourth International Conference on Semantics, Knowledge and Grid, 2008

Design and Implementation of XML-based GUI for Cross Platform Backup System.
Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008

Social network mashup: Ontology-based social network integration for statistic learning.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008

Modeling and Discovery of Data Providing Services.
Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008

Learning a Probabilistic Semantic Model from Heterogeneous Social Networks for Relationship Identification.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

A Semantic-based Framework for Virtual Organization Management.
Proceedings of the Third ChinaGrid Annual Conference, ChinaGrid 2008, Dunhuang, Gansu, 2008

Data Quality in Traditional Chinese Medicine.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

Content-Based Trust Mechanism for E-commerce Systems.
Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008

A Semantic Mapping System for Bridging the Gap between Relational Database and Semantic Web.
Proceedings of the Semantic Scientific Knowledge Integration, 2008

Ontology-based Scientific Data Service Composition: A Query Rewriting-based Approach.
Proceedings of the Semantic Scientific Knowledge Integration, 2008

Mining Target Marketing Groups From Users' Web of Trust on Epinions.
Proceedings of the Social Information Processing, 2008

Semantic Web Development for Traditional Chinese Medicine.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Introduction to semantic e-Science in biomedicine.
BMC Bioinform., 2007

Towards Semantic e-Science for Traditional Chinese Medicine.
BMC Bioinform., 2007

SenseLab: new developments in disseminating neuroscience information.
Briefings Bioinform., 2007

AAAI-07 Workshop Reports.
AI Mag., 2007

Complex Network Analysis on TCMLS Sub-Ontologies.
Proceedings of the Third International Conference on Semantics, 2007

Extending Online Travel Agency with Adaptive Reservations.
Proceedings of the On the Move to Meaningful Internet Systems 2007: CoopIS, 2007

Applying Hypothetical Queries to E-Commerce Systems to Support Reservation and Personal Preferences.
Proceedings of the Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), 2007

2006
Dynamic Query Optimization Approach for Semantic Database Grid.
J. Comput. Sci. Technol., 2006

DartGrid: a semantic infrastructure for building database Grid applications.
Concurr. Comput. Pract. Exp., 2006

Towards a Semantic Web of Relational Databases: A Practical Semantic Toolkit and an In-Use Case from Traditional Chinese Medicine.
Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006

A Scalable Probabilistic Approach to Trust Evaluation.
Proceedings of the Trust Management, 4th International Conference, 2006

Develop a Computational Trust Prototype for the Semantic Web.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

RDF/RDFS-based Relational Database Integration.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Knowledge Fusion in Semantic Grid.
Proceedings of the Grid and Cooperative Computing, 2006

Towards Building a Semantic Grid for E-Learning.
Proceedings of the Distributed Applications and Interoperable Systems, 2006

A Social Network-Based Trust Model for the Semantic Web.
Proceedings of the Autonomic and Trusted Computing, Third International Conference, 2006

Developing a composite trust model for multi-agent systems.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

A Computational Trust Model for Semantic Web Based on Bayesian Decision Theory.
Proceedings of the Frontiers of WWW Research and Development, 2006

Concept Map Model for Web Ontology Exploration.
Proceedings of the Frontiers of WWW Research and Development, 2006

A Reputation-Chain Trust Model for the Semantic Web.
Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA 2006), 2006

ITSGrid: A Novel Integrated Intelligent Transportation Information and Service Platform.
Proceedings of the 2006 IEEE International Conference on Services Computing (SCC 2006), 2006

2005
A Wavelet Approach for the Analysis of Folding Trajectory of Protein Trp-cage.
J. Bioinform. Comput. Biol., 2005

DartGrid II: A Semantic Grid Platform for ITS.
IEEE Intell. Syst., 2005

DartGrid III: A Semantic Grid Toolkit for Data Integration.
Proceedings of the 2005 International Conference on Semantics, 2005

An Interactive Visual Model for Web Ontologies.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

RDF-Based Ontology View for Relational Schema Mediation in Semantic Web.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Rewriting Queries Using Views for RDF-Based Relational Integration.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

Rewriting Queries Using View for RDF/RDFS-Based Relational Data Integration.
Proceedings of the Distributed Computing and Internet Technology, 2005

Query Optimization in Database Grid.
Proceedings of the Grid and Cooperative Computing - GCC 2005, 4th International Conference, Beijing, China, November 30, 2005

Dart-Dataflow: Towards Communicating Data Semantics in Sensor Grid.
Proceedings of the Grid and Cooperative Computing - GCC 2005, 4th International Conference, Beijing, China, November 30, 2005

DartDataFlow: Semantic-Based Sensor Grid.
Proceedings of the Embedded and Ubiquitous Computing - EUC 2005 Workshops, 2005

Applying Semantic Web Technologies for Geodata Integration and Visualization.
Proceedings of the Perspectives in Conceptual Modeling, 2005

Semantic-Based Context-Role Model for Web Information Sharing.
Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce, and e-Services (EEE 2005), 29 March, 2005

Dart Database Grid: A Dynamic, Adaptive, RDF-Mediated, Transparent Approach to Database Integration for Semantic Web.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

DartGrid: RDF-Mediated Database Integration and Process Coordination Using Grid as the Platform.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

Interactive Semantic-Based Visualization Environment for Traditional Chinese Medicine Information.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

2004
DartGrid: Semantic-Based Database Grid.
Proceedings of the Computational Science, 2004

Semantic Browser: an Intelligent Client for Dart-Grid.
Proceedings of the Computational Science, 2004

RDF-Based Schema Mediation for Database Grid.
Proceedings of the 5th International Workshop on Grid Computing (GRID 2004), 2004

Visual Semantic Query Construction in Dart Database Grid.
Proceedings of the Grid and Cooperative Computing, 2004

Building a Courseware Grid upon Dart Database Grid.
Proceedings of the Grid and Cooperative Computing, 2004

Q3: A Semantic Query Language for Dart Database Grid.
Proceedings of the Grid and Cooperative Computing, 2004

Semantic View for Grid Services.
Proceedings of the 2004 IEEE International Conference on Services Computing (SCC 2004), 2004

2003
Knowledge Base Grid: A Generic Grid Architecture for Semantic Web.
J. Comput. Sci. Technol., 2003

Distributed Petri Net for Knowledge Base Grid reasoning.
Proceedings of the IEEE International Conference on Systems, 2003

Knowledge Base Grid and its application in traditional Chinese Medicine.
Proceedings of the IEEE International Conference on Systems, 2003

Open grid services of traditional Chinese medicine.
Proceedings of the IEEE International Conference on Systems, 2003

OKSA: an open knowledge service architecture for building large scale knowledge system in semantic Web.
Proceedings of the IEEE International Conference on Systems, 2003

KB-Grid: Towards Building Large-Scale Knowledge System in Semantic Web.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

On Case-Based Knowledge Sharing in Semantic Web.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

Knowledge Base Grid: Relize Global Knowledge Sharing By Combining Grid and Semantic Web.
Proceedings of the ICEIS 2003, 2003

TCM-Grid: Weaving a Medical Grid for Traditional Chinese Medicine.
Proceedings of the Computational Science - ICCS 2003, 2003

SkyEyes: A Semantic Browser for the KB-Grid.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

Semantic Rule Service Model: Enabling Intelligence on Grid Architecture.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

KB-Grid: Enabling Knowledge Sharing on the Semantic Web.
Proceedings of the 1st International Workshop on Challenges of Large Applications in Distributed Environments, 2003

Towards a Grid-Based Architecture for Traditional Chinese Medicine.
Proceedings of the 1st International Workshop on Challenges of Large Applications in Distributed Environments, 2003


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