Hai-Tao Zheng

Orcid: 0000-0001-5128-5649

Affiliations:
  • Tsinghua University, Graduate School at Shenzhen, China
  • Seoul National University, Korea (PhD 2009)


According to our database1, Hai-Tao Zheng authored at least 194 papers between 2006 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework.
CoRR, 2024

Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction.
CoRR, 2024

When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models.
CoRR, 2024

EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
TransCP: A Transformer Pointer Network for Generic Entity Description Generation With Explicit Content-Planning.
IEEE Trans. Knowl. Data Eng., December, 2023

Automatic Context Pattern Generation for Entity Set Expansion.
IEEE Trans. Knowl. Data Eng., December, 2023

Active relation discovery: Towards general and label-aware open relation extraction.
Knowl. Based Syst., December, 2023

AOG-LSTM: An adaptive attention neural network for visual storytelling.
Neurocomputing, October, 2023

Embracing ambiguity: Improving similarity-oriented tasks with contextual synonym knowledge.
Neurocomputing, October, 2023

Knowledge-Based Reasoning Network for Relation Detection.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Event Detection With Dynamic Word-Trigger-Argument Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

Parameter-efficient fine-tuning of large-scale pre-trained language models.
Nat. Mac. Intell., March, 2023

EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data.
CoRR, 2023

Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters.
CoRR, 2023

Retrieval-Augmented Meta Learning for Low-Resource Text Classification.
CoRR, 2023

Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection.
CoRR, 2023

An Anchor Learning Approach for Citation Field Learning.
CoRR, 2023

MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation.
CoRR, 2023

LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles.
CoRR, 2023

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

EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce.
CoRR, 2023

On the (In)Effectiveness of Large Language Models for Chinese Text Correction.
CoRR, 2023

Progressive Multi-task Learning Framework for Chinese Text Error Correction.
CoRR, 2023

Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking.
CoRR, 2023

Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation.
CoRR, 2023

Knowledge Soft Integration for Multimodal Recommendation.
CoRR, 2023

Investigating Graph Structure Information for Entity Alignment with Dangling Cases.
CoRR, 2023

From Retrieval to Generation: Efficient and Effective Entity Set Expansion.
CoRR, 2023

Knowledge-augmented Few-shot Visual Relation Detection.
CoRR, 2023

Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment.
CoRR, 2023

MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

KLAPrompt: Infusing Semantic Knowledge into Pre-trained Language Models by Long-answer Prompt Learning.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model.
Proceedings of the International Joint Conference on Neural Networks, 2023

Modeling Global-Local Subtopic Distribution with Hypergraph to Diversify Search Results.
Proceedings of the International Joint Conference on Neural Networks, 2023

Establishing a Stronger Baseline for Lightweight Contrastive Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Contextual Similarity is More Valuable Than Character Similarity: An Empirical Study for Chinese Spell Checking.
Proceedings of the IEEE International Conference on Acoustics, 2023

Rethinking Rule-Based Approaches in Session-Based Recommendation.
Proceedings of the IEEE International Conference on Acoustics, 2023

High-Level Feature Fusion Network for Session-Based Social Recommendation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Guide and Select: A Transformer-Based Multimodal Fusion Method for Points of Interest Description Generation.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Simple Yet Effective Approach to Structured Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Vision, Deduction and Alignment: An Empirical Study on Multi-Modal Knowledge Graph Alignment.
Proceedings of the IEEE International Conference on Acoustics, 2023

CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Segment Augmentation and Prediction Consistency Neural Network for Multi-label Unknown Intent Detection.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Fusion or Defusion? Flexible Vision-and-Language Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Few-shot Classification with Hypersphere Modeling of Prototypes.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Exploring Lottery Prompts for Pre-trained Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Global Mixup: Eliminating Ambiguity with Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification.
IEEE Trans. Dependable Secur. Comput., 2022

A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction.
IEEE Trans. Big Data, 2022

Are we ready for a new paradigm shift? A survey on visual deep MLP.
Patterns, 2022

Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge.
CoRR, 2022

Active Relation Discovery: Towards General and Label-aware Open Relation Extraction.
CoRR, 2022

Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation.
CoRR, 2022

A Curriculum Learning Approach for Multi-domain Text Classification Using Keyword weight Ranking.
CoRR, 2022

Focus Is What You Need For Chinese Grammatical Error Correction.
CoRR, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.
CoRR, 2022

Contextual Similarity is More Valuable than Character Similarity: Curriculum Learning for Chinese Spell Checking.
CoRR, 2022

Global Mixup: Eliminating Ambiguity with Clustering.
CoRR, 2022

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.
CoRR, 2022

Efficient Sub-structured Knowledge Distillation.
CoRR, 2022

Contrastive Learning with Hard Negative Entities for Entity Set Expansion.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Tree-structured Auxiliary Online Knowledge Distillation.
Proceedings of the International Joint Conference on Neural Networks, 2022

AMR-to-Text Generation with Graph Structure Reconstruction and Coverage Mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Purified Feature Representations from Task-irrelevant Labels.
Proceedings of the International Joint Conference on Neural Networks, 2022

GiTS: Gist-driven Text Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2022

LordBERT: Embedding Long Text by Segment Ordering with BERT.
Proceedings of the International Joint Conference on Neural Networks, 2022

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Self-Supervised Dual-Channel Attentive Network for Session-based Social Recommendation.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

A Non-Hierarchical Attention Network with Modality Dropout for Textual Response Generation in Multimodal Dialogue Systems.
Proceedings of the IEEE International Conference on Acoustics, 2022

Retrieval Enhanced Segment Generation Neural Network for Task-Oriented Dialogue Systems.
Proceedings of the IEEE International Conference on Acoustics, 2022

Context Reasoning Attention Network: Generating Plausible Distractors for Multi-choice Questions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Social-aware Sparse Attention Network for Session-based Social Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Prompt-learning for Fine-grained Entity Typing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Diversify Search Results Through Graph Attentive Document Interaction.
Proceedings of the Database Systems for Advanced Applications, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Modeling Latent Autocorrelation for Session-based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

OpenPrompt: An Open-source Framework for Prompt-learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
Modeling Relation Paths for Knowledge Graph Completion.
IEEE Trans. Knowl. Data Eng., 2021

Are we ready for a new paradigm shift? A Survey on Visual Deep MLP.
CoRR, 2021

Prompt-Learning for Fine-Grained Entity Typing.
CoRR, 2021

Sentence Semantic Regression for Text Generation.
CoRR, 2021

Learning Purified Feature Representations from Task-irrelevant Labels.
CoRR, 2021

Question Generation via Multi-stage Answers Editing Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

Balance the Labels: Hierarchical Label Structured Network for Dialogue Act Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Bilingual Self-Attention Network: Generating Headlines for Online Linguistic Questions.
Proceedings of the International Joint Conference on Neural Networks, 2021

SphereCF: Sphere Embedding for Collaborative Filtering.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Prototypical Representation Learning for Relation Extraction.
Proceedings of the 9th International Conference on Learning Representations, 2021

Multi-Entity Collaborative Relation Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2021

Wasserstein Selective Transfer Learning for Cross-domain Text Mining.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Consistency and Coherency Enhanced Story Generation.
Proceedings of the Advances in Information Retrieval, 2021

CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Few-NERD: A Few-shot Named Entity Recognition Dataset.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning to Augment for Data-scarce Domain BERT Knowledge Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
ALBFL: A Novel Neural Ranking Model for Software Fault Localization via Combining Static and Dynamic Features.
Proceedings of the 19th IEEE International Conference on Trust, 2020

Triple-to-Text Generation with an Anchor-to-Prototype Framework.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Infobox-to-text Generation with Tree-like Planning based Attention Network.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Knowledge Enhanced Latent Relevance Mining for Question Answering.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Self-Attention and Retrieval Enhanced Neural Networks for Essay Generation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Answer-driven Deep Question Generation based on Reinforcement Learning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Integrating User History into Heterogeneous Graph for Dialogue Act Recognition.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Knowledge and Cross-Pair Pattern Guided Semantic Matching for Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Integrating Linguistic Knowledge to Sentence Paraphrase Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A probabilistic model for semantic advertising.
Knowl. Inf. Syst., 2019

Novel dynamic multiple classification system for network traffic.
Inf. Sci., 2019

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.
BMC Bioinform., 2019

Answer-enhanced Path-aware Relation Detection over Knowledge Base.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Path-based Attribute-aware Representation Learning for Relation Prediction.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

User Preference-Aware Review Generation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Topic Attentional Neural Network for Abstractive Document Summarization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy.
Proceedings of the International Joint Conference on Neural Networks, 2019

CARL: Aggregated Search with Context-Aware Module Embedding Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews.
Proceedings of the International Joint Conference on Neural Networks, 2019

Knowledge-aware Textual Entailment with Graph Attention Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Clickbait Convolutional Neural Network.
Symmetry, 2018

Weakly-supervised image captioning based on rich contextual information.
Multim. Tools Appl., 2018

A learnable search result diversification method.
Expert Syst. Appl., 2018

Learning-based topic detection using multiple features.
Concurr. Comput. Pract. Exp., 2018

A novel framework for Automatic Chinese Question Generation based on multi-feature neural network model.
Comput. Sci. Inf. Syst., 2018

Automatic Generation of News Comments Based on Gated Attention Neural Networks.
IEEE Access, 2018

Byte Segment Neural Network for Network Traffic Classification.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Automatically Answering Questions With Nature Languages.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

Enhancing Question Understanding and Representation for Knowledge Base Relation Detection.
Proceedings of the IEEE International Conference on Data Mining, 2018

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
SAIDR: A New Dynamic Model for SMS-Based Worm Propagation in Mobile Networks.
IEEE Access, 2017

Tianji: Implementation of an Efficient Tracking Engine in the Mobile Internet Era.
IEEE Access, 2017

Cross-Lingual Infobox Alignment in Wikipedia Using Entity-Attribute Factor Graph.
Proceedings of the Semantic Web - ISWC 2017, 2017

Extracting Deep Semantic Information for Intelligent Recommendation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

XLink: An Unsupervised Bilingual Entity Linking System.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017

Boost Clickbait Detection Based on User Behavior Analysis.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

A Learning Approach to Hierarchical Search Result Diversification.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

An Ontology-Based Latent Semantic Indexing Approach Using Long Short-Term Memory Networks.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016
Query-Focused Multi-document Summarization Based on Concept Importance.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Incorporating Prior Knowledge into Context-Aware Recommendation.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Online Streaming Feature Selection Using Sampling Technique and Correlations Between Features.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Deterministic Constructions of Binary Measurement Matrices From Finite Geometry.
IEEE Trans. Signal Process., 2015

Exploiting Conceptual Relations of Sentences for Multi-document Summarization.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

iCHUM: An Efficient Algorithm for High Utility Mining in Incremental Databases.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Exploiting Latent Relations Between Users and Items for Collaborative Filtering.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Online Feature Selection Based on Passive-Aggressive Algorithm with Retaining Features.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

RDQS: A Relevant and Diverse Query Suggestion Generation Framework.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Graph-Based Hybrid Recommendation Using Random Walk and Topic Modeling.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Boosting Explicit Semantic Analysis by Clustering Paragraph Vectors of Wikipedia Articles.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

PDMA: A Probabilistic Framework for Diversifying Recommendation Lists.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
A semantic similarity measure based on information distance for ontology alignment.
Inf. Sci., 2014

An Ontology-Based Approach to Query Suggestion Diversification.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Exploiting Level-Wise Category Links for Semantic Relatedness Computing.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Multi-document Summarization Based on Sentence Clustering.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

A Frequent Term-Based Multiple Clustering Approach for Text Documents.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

Graph-Based Summarization without Redundancy.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013
Maximum Multiflow in Wireless Network Coding.
IEICE Trans. Commun., 2013

Sparks and Deterministic Constructions of Binary Measurement Matrices from Finite Geometry
CoRR, 2013

A constant approximation for multicast scheduling under physical interference model.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

An optimal segment replication strategy in P2P-VoD systems.
Proceedings of the 2013 IEEE Symposium on Computers and Communications, 2013

A traffic localization strategy for peer-to-peer live streaming.
Proceedings of the 2013 IEEE Symposium on Computers and Communications, 2013

Exploiting Multiple Features for Learning to Rank in Expert Finding.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

An Adaptive Collaborative Filtering Algorithm Based on Multiple Features.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
An ontology-based approach to Chinese semantic advertising.
Inf. Sci., 2012

Towards group behavioral reason mining.
Expert Syst. Appl., 2012

Maximum Multiflow in Wireless Network Coding
CoRR, 2012

Keyword Proximity Search over Large and Complex RDF Database.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Exploiting Ontologies to Rank Relationships Between Patents.
Proceedings of the Semantic Web and Web Science, 2012

A Two-Step Non-redundant Subspace Clustering Approach.
Proceedings of the Semantic Web and Web Science, 2012

Search Results Diversification Based on Swap Minimal Marginal Contribution.
Proceedings of the Semantic Web and Web Science, 2012

Personalized Diversity Search Based on User's Social Relationships.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
Affiliation disambiguation for constructing semantic digital libraries.
J. Assoc. Inf. Sci. Technol., 2011

A Lightweight Ontology Learning Method for Chinese Government Documents.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

PatentRank: An Ontology-based Approach to Patent Search.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

An Adaptive Approach to Chinese Semantic Advertising.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
GOClonto: An ontological clustering approach for conceptualizing PubMed abstracts.
J. Biomed. Informatics, 2010

A knowledge-driven approach to biomedical document conceptualization.
Artif. Intell. Medicine, 2010

2009
Exploiting corpus-related ontologies for conceptualizing document corpora.
J. Assoc. Inf. Sci. Technol., 2009

Exploiting noun phrases and semantic relationships for text document clustering.
Inf. Sci., 2009

IP-Explorer: A Semantic Web Based Intellectual Property Knowledge Base and Trading Platform.
Proceedings of the Semantic Web, Fourth Asian Conference, 2009

2008
An ontology-based approach to learnable focused crawling.
Inf. Sci., 2008

A Concept-Driven Automatic Ontology Generation Approach for Conceptualization of Document Corpora.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Exploiting Gene Ontology to Conceptualize Biomedical Document Collections.
Proceedings of the Semantic Web, 3rd Asian Semantic Web Conference, 2008

Learnable Focused Crawling Based on Ontology.
Proceedings of the Information Retrieval Technology, 2008

2007
An Ontology-based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelines.
Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, 2007

2006
A Semantic Annotation Tool to Extract Instances from Korean Web Documents.
Proceedings of the 1st Semantic Authoring and Annotation Workshop (SAAW2006) located at the 5th International Semantic Web Conference ( ISWC 2006 ) 6th November 2006, 2006


  Loading...