2025
AAPO: Enhance the Reasoning Capabilities of LLMs with Advantage Momentum.
CoRR, May, 2025
Trustworthy federated learning: privacy, security, and beyond.
Knowl. Inf. Syst., March, 2025
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
Latent Diffusion Enhanced Rectangle Transformer for Hyperspectral Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025
2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data.
ACM Trans. Intell. Syst. Technol., December, 2024
MTPret: Improving X-Ray Image Analytics With Multitask Pretraining.
IEEE Trans. Artif. Intell., September, 2024
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024
Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning.
Knowl. Inf. Syst., August, 2024
GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network.
IEEE Trans. Knowl. Data Eng., May, 2024
P<sup>2</sup>ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos.
ACM Trans. Multim. Comput. Commun. Appl., April, 2024
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer.
Mach. Learn. Sci. Technol., March, 2024
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation.
Neurocomputing, March, 2024
Temporal Output Discrepancy for Loss Estimation-Based Active Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Towards accurate knowledge transfer via target-awareness representation disentanglement.
Mach. Learn., February, 2024
A Simple yet Effective Framework for Active Learning to Rank.
Mach. Intell. Res., February, 2024
On mask-based image set desensitization with recognition support.
Appl. Intell., January, 2024
Reasoning to Attend: Try to Understand How Token Works.
CoRR, 2024
Efficient asynchronous federated learning with sparsification and quantization.
Concurr. Comput. Pract. Exp., 2024
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
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IEEE Trans. Knowl. Data Eng., December, 2023
Semi-supervised transfer learning with hierarchical self-regularization.
Pattern Recognit., December, 2023
HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments.
Future Gener. Comput. Syst., November, 2023
$\mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing.
IEEE Trans. Mob. Comput., September, 2023
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models.
Mach. Learn., June, 2023
Cross-model consensus of explanations and beyond for image classification models: an empirical study.
Mach. Learn., May, 2023
Structure-aware protein self-supervised learning.
Bioinform., April, 2023
Multi-Job Intelligent Scheduling With Cross-Device Federated Learning.
IEEE Trans. Parallel Distributed Syst., February, 2023
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.
IEEE Trans. Serv. Comput., 2023
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications.
IEEE Trans. Multim., 2023
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios.
Trans. Mach. Learn. Res., 2023
SMILE: Sample-to-feature Mixup for Efficient Transfer Learning.
Trans. Mach. Learn. Res., 2023
Beyond Intuition: Rethinking Token Attributions inside Transformers.
Trans. Mach. Learn. Res., 2023
Data Placement for Multi-Tenant Data Federation on the Cloud.
IEEE Trans. Cloud Comput., 2023
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos.
CoRR, 2023
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability.
CoRR, 2023
Distributed and deep vertical federated learning with big data.
Concurr. Comput. Pract. Exp., 2023
Large-scale knowledge distillation with elastic heterogeneous computing resources.
Concurr. Comput. Pract. Exp., 2023
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors.
Artif. Intell., 2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Matching Point of Interests and Travel Blog with Multi-view Information Fusion.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Fast Federated Machine Unlearning with Nonlinear Functional Theory.
Proceedings of the International Conference on Machine Learning, 2023
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples.
Proceedings of the IEEE International Conference on Data Mining, 2023
Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information.
Proceedings of the IEEE International Conference on Acoustics, 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach.
Proceedings of the IEEE International Conference on Big Data, 2023
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Unsupervised Adversarial Network Alignment with Reinforcement Learning.
ACM Trans. Knowl. Discov. Data, 2022
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond.
ACM Trans. Knowl. Discov. Data, 2022
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks.
ACM Trans. Knowl. Discov. Data, 2022
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization.
Neural Process. Lett., 2022
Exploring the common principal subspace of deep features in neural networks.
Mach. Learn., 2022
From distributed machine learning to federated learning: a survey.
Knowl. Inf. Syst., 2022
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond.
Knowl. Inf. Syst., 2022
InterpretDL: Explaining Deep Models in PaddlePaddle.
J. Mach. Learn. Res., 2022
Preface: COVID 19: From Misinformation to Knowledge Discovery.
J. Inf. Knowl. Manag., 2022
HandGest: Hierarchical Sensing for Robust-in-the-Air Handwriting Recognition With Commodity WiFi Devices.
IEEE Internet Things J., 2022
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
IEEE Internet Things J., 2022
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey.
IEEE Internet Things J., 2022
SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022.
CoRR, 2022
P<sup>2</sup>A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos.
CoRR, 2022
Fine-tuning Pre-trained Language Models with Noise Stability Regularization.
CoRR, 2022
Feature Forgetting in Continual Representation Learning.
CoRR, 2022
Deep Active Learning with Noise Stability.
CoRR, 2022
Practical Strategies of Active Learning to Rank for Web Search.
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CoRR, 2022
Structure-aware Protein Self-supervised Learning.
CoRR, 2022
A Comparative Survey of Deep Active Learning.
CoRR, 2022
Inadequately Pre-trained Models are Better Feature Extractors.
CoRR, 2022
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Recognizing Medical Search Query Intent by Few-shot Learning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Building Post-layout Performance Model of Analog/RF Circuits by Fine-tuning Technique.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Learning Moving-Object Tracking with FMCW LiDAR.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Time-aware Neural Trip Planning Reinforced by Human Mobility.
Proceedings of the International Joint Conference on Neural Networks, 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity.
Proceedings of the 51st International Conference on Parallel Processing, 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization.
Proceedings of the International Conference on Machine Learning, 2022
Federated Fingerprint Learning with Heterogeneous Architectures.
Proceedings of the IEEE International Conference on Data Mining, 2022
Parameter-Free Style Projection for Arbitrary Image Style Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2022
Simplified Graph Learning for Inductive Short Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
ClinicalT5: A Generative Language Model for Clinical Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Efficient Device Scheduling with Multi-Job Federated Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut.
IEEE Trans. Multim., 2021
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics.
ACM Trans. Knowl. Discov. Data, 2021
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation.
ACM Trans. Intell. Syst. Technol., 2021
An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness.
SN Comput. Sci., 2021
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow.
Mach. Learn., 2021
SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing.
IEEE Internet Things J., 2021
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing.
Frontiers Artif. Intell., 2021
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments.
CoRR, 2021
Generalized Data Weighting via Class-level Gradient Manipulation.
CoRR, 2021
SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing.
CoRR, 2021
Property-aware Adaptive Relation Networks for Molecular Property Prediction.
CoRR, 2021
Robust Matrix Factorization with Grouping Effect.
CoRR, 2021
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples.
CoRR, 2021
BM-NAS: Bilevel Multimodal Neural Architecture Search.
CoRR, 2021
Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation.
CoRR, 2021
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning.
CoRR, 2021
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.
CoRR, 2021
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Generalized DataWeighting via Class-Level Gradient Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Noise Stability Regularization for Improving BERT Fine-tuning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu.
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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks.
Proceedings of the 38th International Conference on Machine Learning, 2021
Integrated Defense for Resilient Graph Matching.
Proceedings of the 38th International Conference on Machine Learning, 2021
An Investigation of Containment Measure Implementation and Public Responses to the COVID-19 Pandemic in Mainland China.
Proceedings of the IEEE International Conference on Digital Health, 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources.
Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021
Adversarial Attack against Cross-lingual Knowledge Graph Alignment.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network.
Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021
CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Textual Data Augmentation for Patient Outcomes Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Out-of-Town Recommendation with Travel Intention Modeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Community-Aware Multi-Task Transportation Demand Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Temporal Relational Modeling with Self-Supervision for Action Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering.
Inf. Syst. Frontiers, 2020
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction.
CoRR, 2020
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement.
CoRR, 2020
Measuring Information Transfer in Neural Networks.
CoRR, 2020
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup.
CoRR, 2020
Representation Transfer by Optimal Transport.
CoRR, 2020
Cross-Task Transfer for Multimodal Aerial Scene Recognition.
CoRR, 2020
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions.
CoRR, 2020
Parameter-Free Style Projection for Arbitrary Style Transfer.
CoRR, 2020
Label-guided Learning for Text Classification.
CoRR, 2020
Curriculum Audiovisual Learning.
CoRR, 2020
Adversarial Attacks on Deep Graph Matching.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Ontology-based Interpretable Machine Learning for Textual Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Generating Person Images with Appearance-aware Pose Stylizer.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Scalable Differential Privacy with Certified Robustness in Adversarial Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr.
Proceedings of the 37th International Conference on Machine Learning, 2020
Pay Attention to Features, Transfer Learn Faster CNNs.
Proceedings of the 8th International Conference on Learning Representations, 2020
Rethinking Local Community Detection: Query Nodes Replacement.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Robust Meta Network Embedding against Adversarial Attacks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Neighbours Matter: Image Captioning with Similar Images.
Proceedings of the 31st British Machine Vision Conference 2020, 2020
Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Exploiting the Syntax-Model Consistency for Neural Relation Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Learning Conceptual-Contextual Embeddings for Medical Text.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Searching for Stage-wise Neural Graphs In the Limit.
CoRR, 2019
Does Interpretability of Neural Networks Imply Adversarial Robustness?
CoRR, 2019
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks.
CoRR, 2019
Learning Conceptual-Contexual Embeddings for Medical Text.
CoRR, 2019
Preserving Differential Privacy in Adversarial Learning with Provable Robustness.
CoRR, 2019
Logic Rules Powered Knowledge Graph Embedding.
CoRR, 2019
An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Dual Adversarial Learning Based Network Alignment.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper).
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
Semantic Oppositeness Embedding Using an Autoencoder-Based Learning Model.
Proceedings of the Database and Expert Systems Applications, 2019
Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Rumor detection in social networks via deep contextual modeling.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
Delta Embedding Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Concept and Attention-Based CNN for Question Retrieval in Multi-View Learning.
ACM Trans. Intell. Syst. Technol., 2018
Recursive Structure Similarity: A Novel Algorithm for Graph Clustering.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification.
Proceedings of the IEEE International Conference on Data Mining, 2018
On Adversarial Examples for Character-Level Neural Machine Translation.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
HotFlip: White-Box Adversarial Examples for Text Classification.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Preserving differential privacy in convolutional deep belief networks.
Mach. Learn., 2017
Online Reasoning for Semantic Error Detection in Text.
J. Data Semant., 2017
Ontology-based deep learning for human behavior prediction with explanations in health social networks.
Inf. Sci., 2017
HotFlip: White-Box Adversarial Examples for NLP.
CoRR, 2017
Time-Sensitive Behavior Prediction in a Health Social Network.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Semantics-oriented data science and computational life sciences: Innovative application of semantic technologies in microRNA and lncRNA research.
Proceedings of the 7th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2017
A Temporal Attentional Model for Rumor Stance Classification.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Discovering Inconsistencies in PubMed Abstracts through Ontology-Based Information Extraction.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Ontology Matching with Knowledge Rules.
Trans. Large Scale Data Knowl. Centered Syst., 2016
Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network.
ACM Trans. Intell. Syst. Technol., 2016
A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+).
Soc. Netw. Anal. Min., 2016
Dynamic socialized Gaussian process models for human behavior prediction in a health social network.
Knowl. Inf. Syst., 2016
A hybrid ontology-based information extraction system.
J. Inf. Sci., 2016
The development of non-coding RNA ontology.
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Int. J. Data Min. Bioinform., 2016
Topic-Aware Physical Activity Propagation in a Health Social Network.
IEEE Intell. Syst., 2016
OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data.
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J. Biomed. Semant., 2016
The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology.
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J. Biomed. Semant., 2016
Interaction Network Representations for Human Behavior Prediction.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Characterizing Physical Activity in a Health Social Network.
Proceedings of the 6th International Conference on Digital Health Conference, 2016
Ontology-Based Deep Restricted Boltzmann Machine.
Proceedings of the Database and Expert Systems Applications, 2016
A Heterogeneous Clustering Approach for Human Activity Recognition.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2016
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets.
Proceedings of the COLING 2016, 2016
Personalized Semantic Word Vectors.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
A comprehensive (biological and computational) investigation on the role of microRNA: : mRNA regulations performed in chronic obstructive pulmonary disease and lung cancer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
A Probabilistic Approach to Knowledge Translation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Analysis and Prediction of User Editing Patterns in Ontology Development Projects.
J. Data Semant., 2015
Special Issue on: Twelfth International Conference on Ontologies, Databases, and Applications of Semantics.
J. Data Semant., 2015
Semantic data mining: A survey of ontology-based approaches.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015
Chain Based RNN for Relation Classification.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
Mining Strongly Correlated Intervals with Hypergraphs.
Proceedings of the Database and Expert Systems Applications, 2015
Ontology Matching with Knowledge Rules.
Proceedings of the Database and Expert Systems Applications, 2015
A semantic approach for knowledge capture of MIcroRNA-Target gene interactions.
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Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
A domain ontology for the Non-Coding RNA field.
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Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Ontology-based deep learning for human behavior prediction in health social networks.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
Social Restricted Boltzmann Machine: Human Behavior Prediction in Health Social Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
Online Reasoning for Ontology-Based Error Detection in Text.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014
Analysis of Physical Activity Propagation in a Health Social Network.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
Analysis of User Editing Patterns in Ontology Development Projects.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013
ODBASE 2013 PC Co-Chairs Message.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013
Mining Biomedical Ontologies and Data Using RDF Hypergraphs.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Hybrid Ontology-Based Information Extraction for Automated Text Grading.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
2012
Breaking the Deadlock: Simultaneously Discovering Attribute Matching and Cluster Matching with Multi-Objective Metaheuristics.
J. Data Semant., 2012
Sharing and integration of cognitive neuroscience data: Metric and pattern matching across heterogeneous ERP datasets.
Neurocomputing, 2012
Using Markov Logic to Refine an Automatically Extracted Knowledge Base.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Evaluating Ontology Matchers Using Arbitrary Ontologies and Human Generated Heterogeneities.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2012, 2012
Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Learning to Refine an Automatically Extracted Knowledge Base Using Markov Logic.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Providing grades and feedback for student summaries by ontology-based information extraction.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
An ontology-based MicroRNA knowledge sharing and acquisition framework.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012
2011
Using ontology databases for scalable query answering, inconsistency detection, and data integration.
J. Intell. Inf. Syst., 2011
Breaking the Deadlock: Simultaneously Discovering Attribute Matching and Cluster Matching with Multi-Objective Simulated Annealing.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2011, 2011
Using Information Extractors with the Neural ElectroMagnetic Ontologies.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2011 Workshops, 2011
Improving the Accuracy of Ontology Alignment through Ensemble Fuzzy Clustering.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2011, 2011
A Hypergraph-based Method for Discovering Semantically Associated Itemsets.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Calculating Feature Weights in Naive Bayes with Kullback-Leibler Measure.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Semantic Translation for Rule-Based Knowledge in Data Mining.
Proceedings of the Database and Expert Systems Applications, 2011
2010
Ontology-based information extraction: An introduction and a survey of current approaches.
J. Inf. Sci., 2010
Ontograte: towards Automatic Integration for Relational Databases and the Semantic Web through an Ontology-Based Framework.
Int. J. Semantic Comput., 2010
Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
OMIT: Domain Ontology and Knowledge Acquisition in MicroRNA Target Prediction - (Short Paper).
Proceedings of the On the Move to Meaningful Internet Systems, 2010
Financial Forecasting with Gompertz Multiple Kernel Learning.
Proceedings of the ICDM 2010, 2010
Ontology-based knowledge discovery and sharing in bioinformatics and medical informatics: A brief survey.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
Components for information extraction: ontology-based information extractors and generic platforms.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
NeuMORE: Ontology in stroke recovery.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
Ontology-based knowledge acquisition for neuromotor functional recovery in stroke.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
Ontology for MicroRNA Target prediction in human cancer.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010
2009
Detecting Inconsistencies in the Gene Ontology Using Ontology Databases with Not-gadgets.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009
Using multiple ontologies in information extraction.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Ontology Database: A New Method for Semantic Modeling and an Application to Brainwave Data.
Proceedings of the Scientific and Statistical Database Management, 2008
2007
A Framework to Support Automated Classification and Labeling of Brain Electromagnetic Patterns.
Comput. Intell. Neurosci., 2007
Understanding and Utilizing the Hierarchy of Abnormal BGP Events.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007
Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
Discovering Executable Semantic Mappings Between Ontologies.
Proceedings of the On the Move to Meaningful Internet Systems 2007: CoopIS, 2007
Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
On Knowledge-Based Classification of Abnormal BGP Events.
Proceedings of the Information Systems Security, Third International Conference, 2007
A Semi-Automatic Framework for Mining ERP Patterns.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007
Constructing a User Preference Ontology for Anti-spam Mail Systems.
Proceedings of the Advances in Artificial Intelligence, 2007
2006
Ontology-based integration for relational databases.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006
Integrating Databases into the Semantic Web through an Ontology-Based Framework.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006
Towards Theory Translation.
Proceedings of the Declarative Agent Languages and Technologies IV, 2006
Deriving axioms across ontologies.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006
2005
Ontology Translation on the Semantic Web.
J. Data Semant., 2005
An internet routing forensics framework for discovering rules of abnormal BGP events.
Comput. Commun. Rev., 2005
Ontology-Based Integration for Relational Data.
Proceedings of the On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops, 2005
2002
Representing Disjunction and Quantifiers in RDF.
Proceedings of the Semantic Web, 2002