2025
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search.
CoRR, January, 2025
Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation.
CoRR, January, 2025
Clean-label backdoor attack and defense: An examination of language model vulnerability.
Expert Syst. Appl., 2025
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization.
IEEE Trans. Mob. Comput., December, 2024
Incorporating Template-Based Contrastive Learning into Cognitively Inspired, Low-Resource Relation Extraction.
Cogn. Comput., November, 2024
Efficient and Privacy-Preserving Feature Importance-Based Vertical Federated Learning.
IEEE Trans. Mob. Comput., June, 2024
Learning facial expression and body gesture visual information for video emotion recognition.
Expert Syst. Appl., March, 2024
A survey on neural topic models: methods, applications, and challenges.
Artif. Intell. Rev., February, 2024
MuJo-SF: Multimodal Joint Slot Filling for Attribute Value Prediction of E-Commerce Commodities.
IEEE Trans. Multim., 2024
Exploring Clean Label Backdoor Attacks and Defense in Language Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning.
Proc. ACM Manag. Data, 2024
MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering.
CoRR, 2024
AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge.
CoRR, 2024
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation.
CoRR, 2024
Multi-Scale Contrastive Learning for Video Temporal Grounding.
CoRR, 2024
Curriculum Demonstration Selection for In-Context Learning.
CoRR, 2024
Who's Who: Large Language Models Meet Knowledge Conflicts in Practice.
CoRR, 2024
A Comprehensive Survey of Datasets, Theories, Variants, and Applications in Direct Preference Optimization.
CoRR, 2024
Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation.
CoRR, 2024
As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss.
CoRR, 2024
Weak-to-Strong Backdoor Attack for Large Language Models.
CoRR, 2024
SoVAR: Building Generalizable Scenarios from Accident Reports for Autonomous Driving Testing.
CoRR, 2024
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models.
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CoRR, 2024
Discrete Diffusion Language Model for Long Text Summarization.
CoRR, 2024
UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages.
CoRR, 2024
A Survey of Backdoor Attacks and Defenses on Large Language Models: Implications for Security Measures.
CoRR, 2024
Encoding and Controlling Global Semantics for Long-form Video Question Answering.
CoRR, 2024
FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm.
CoRR, 2024
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models.
CoRR, 2024
Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing.
CoRR, 2024
Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration.
CoRR, 2024
Mercury: An Efficiency Benchmark for LLM Code Synthesis.
CoRR, 2024
Topic Modeling as Multi-Objective Contrastive Optimization.
CoRR, 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models.
CoRR, 2024
Universal Vulnerabilities in Large Language Models: In-context Learning Backdoor Attacks.
CoRR, 2024
ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Mercury: A Code Efficiency Benchmark for Code Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Extractive Summarization with Text Generator.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
ToXCL: A Unified Framework for Toxic Speech Detection and Explanation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024
Topic Modeling as Multi-Objective Contrastive Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
AKEW: Assessing Knowledge Editing in the Wild.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Who's Who: Large Language Models Meet Knowledge Conflicts in Practice.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Are LLMs Good Zero-Shot Fallacy Classifiers?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Encoding and Controlling Global Semantics for Long-form Video Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models.
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Proceedings of the Findings of the Association for Computational Linguistics, 2024
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Exploring the Potential of Large Language Models in Computational Argumentation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
From Static to Dynamic: Knowledge Metabolism for Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A brief survey on recent advances in coreference resolution.
Artif. Intell. Rev., December, 2023
A contrastive learning framework for Event Detection via semantic type prototype representation modelling.
Neurocomputing, November, 2023
A Novel, Cognitively Inspired, Unified Graph-based Multi-Task Framework for Information Extraction.
Cogn. Comput., November, 2023
Benchmarking Graph Neural Networks.
J. Mach. Learn. Res., 2023
Graph Transformers for Large Graphs.
CoRR, 2023
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
CoRR, 2023
Contrastive Chain-of-Thought Prompting.
CoRR, 2023
From Static to Dynamic: A Continual Learning Framework for Large Language Models.
CoRR, 2023
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals.
CoRR, 2023
Towards the TopMost: A Topic Modeling System Toolkit.
CoRR, 2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
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CoRR, 2023
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System.
CoRR, 2023
Effective Neural Topic Modeling with Embedding Clustering Regularization.
CoRR, 2023
Towards Interpretable Federated Learning.
CoRR, 2023
Knowledge Bases and Language Models: Complementing Forces.
Proceedings of the Rules and Reasoning - 7th International Joint Conference, 2023
A General Framework for Blockchain Data Analysis.
Proceedings of the Research Challenges in Information Science: Information Science and the Connected World, 2023
Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Effective Neural Topic Modeling with Embedding Clustering Regularization.
Proceedings of the International Conference on Machine Learning, 2023
Multi-Scale Receptive Field Graph Model for Emotion Recognition in Conversations.
Proceedings of the IEEE International Conference on Acoustics, 2023
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
A Spectral Viewpoint on Continual Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Rethinking Negative Pairs in Code Search.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Fact-Checking Complex Claims with Program-Guided Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Zero-Shot Text Classification via Self-Supervised Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
How to train your draGAN: A task oriented solution to imbalanced classification.
CoRR, 2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions.
CoRR, 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples.
CoRR, 2022
Recipe for a General, Powerful, Scalable Graph Transformer.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Long Range Graph Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Audio-Visual Domain Adaptation Feature Fusion for Speech Emotion Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Certified Robustness Against Natural Language Attacks by Causal Intervention.
Proceedings of the International Conference on Machine Learning, 2022
Graph Neural Networks with Learnable Structural and Positional Representations.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Is Discourse Role Important for Emotion Recognition in Conversation?
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation.
CoRR, 2021
Contrastive Learning for Neural Topic Model.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters.
Proceedings of the 9th International Conference on Learning Representations, 2021
Towards Robustness Against Natural Language Word Substitutions.
Proceedings of the 9th International Conference on Learning Representations, 2021
Enriching and Controlling Global Semantics for Text Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Holistic Multi-Modal Memory Network for Movie Question Answering.
IEEE Trans. Image Process., 2020
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Capturing Greater Context for Question Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Compositional De-Attention Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Holographic Factorization Machines for Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Syntactic based approach for grammar question retrieval.
Inf. Process. Manag., 2018
Personalized question recommendation for English grammar learning.
Expert Syst. J. Knowl. Eng., 2018
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction.
CoRR, 2018
Multi-range Reasoning for Machine Comprehension.
CoRR, 2018
A Compare-Propagate Architecture with Alignment Factorization for Natural Language Inference.
CoRR, 2018
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Densely Connected Attention Propagation for Reading Comprehension.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Recurrently Controlled Recurrent Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Multi-Cast Attention Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Multi-Pointer Co-Attention Networks for Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Reasoning with Sarcasm by Reading In-Between.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Cross Temporal Recurrent Networks for Ranking Question Answer Pairs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Automatic taxonomy construction from textual documents
PhD thesis, 2017
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text.
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CoRR, 2017
Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture.
CoRR, 2017
Enabling Efficient Question Answer Retrieval via Hyperbolic Neural Networks.
CoRR, 2017
Translational Recommender Networks.
CoRR, 2017
Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
A Syntactic Parse-Key Tree-Based Approach for English Grammar Question Retrieval.
Proceedings of the Natural Language Processing and Information Systems, 2017
Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Dyadic Memory Networks for Aspect-based Sentiment Analysis.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Utilizing Temporal Information for Taxonomy Construction.
Trans. Assoc. Comput. Linguistics, 2016
Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
2015
Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
2014
Overview of the gene ontology task at BioCreative IV.
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Database J. Biol. Databases Curation, 2014
Taxonomy Construction Using Syntactic Contextual Evidence.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
2012
Automatic Suggestion for PubMed Query Reformulation.
J. Comput. Sci. Eng., 2012
SeVe: automatic tool for verification of security protocols.
Frontiers Comput. Sci. China, 2012
A Pointwise Approach for Vietnamese Diacritics Restoration.
Proceedings of the 2012 International Conference on Asian Language Processing, 2012
Hybrid pattern matching for complex ontology term recognition.
Proceedings of the ACM International Conference on Bioinformatics, 2012
2010
Modeling and Verification of Safety Critical Systems: A Case Study on Pacemaker.
Proceedings of the Fourth International Conference on Secure Software Integration and Reliability Improvement, 2010
Modeling and Verifying Security Protocols Using PAT Approach.
Proceedings of the Fourth International Conference on Secure Software Integration and Reliability Improvement, 2010
2007
Axiom-oriented Reasoning to Deal with Inconsistency Between Ontology and Knowledge Base.
Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, 2007