Ke Ji

Orcid: 0000-0003-2429-0041

According to our database1, Ke Ji authored at least 75 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Graph-based multi-information integration network with external news environment perception for Propaganda detection.
Int. J. Web Inf. Syst., 2024

DIMN: Dual Integrated Matching Network for multi-choice reading comprehension.
Eng. Appl. Artif. Intell., 2024

G-HFIN: Graph-based Hierarchical Feature Integration Network for propaganda detection of We-media news articles.
Eng. Appl. Artif. Intell., 2024

Random color transformation for single domain generalized retinal image segmentation.
Eng. Appl. Artif. Intell., 2024

CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis.
CoRR, 2024

HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale.
CoRR, 2024

LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Them.
CoRR, 2024

LLMs Could Autonomously Learn Without External Supervision.
CoRR, 2024

MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Fast and Continual Knowledge Graph Embedding via Incremental LoRA.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Empirical Analysis of Dialogue Relation Extraction with Large Language Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Incorporating Schema-Aware Description into Document-Level Event Extraction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Malicious Attack Detection Method for Recommendation Systems Based on Meta-pseudo Labels and Dynamic Features.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Continual Knowledge Graph Embedding via Incremental Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

LAMM: Label Alignment for Multi-Modal Prompt Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Transfer-Learning-Based Gaussian Mixture Model for Distributed Clustering.
IEEE Trans. Cybern., November, 2023

Intra-graph and Inter-graph joint information propagation network with third-order text graph tensor for fake news detection.
Appl. Intell., August, 2023

Transfer Learning-Based Collaborative Multiview Clustering.
IEEE Trans. Fuzzy Syst., April, 2023

DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection.
Appl. Intell., April, 2023

Guided Filter-Based Fuzzy Clustering for General Data Analysis.
Int. J. Fuzzy Syst., 2023

TM-HOL: Topic memory model for detection of hate speech and offensive language.
Concurr. Comput. Pract. Exp., 2023

Multimodal Fake News Detection Based on Multi-source Heterogeneous Data Fusion.
Proceedings of the 14th IEEE International Symposium on Parallel Architectures, 2023

Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Design and Analysis of Multiload Inductive Power Transfer System Using Bilateral-Excitation Scheme.
IEEE Trans. Ind. Informatics, 2022

Soft Subspace Fuzzy Clustering with Dimension Affinity Constraint.
Int. J. Fuzzy Syst., 2022

Long text feature extraction network with data augmentation.
Appl. Intell., 2022

Fake news detection method based on multi-feature fusion of entity and structured text.
Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

Kernel Fuzzy Clustering based on Quasi-Monte Carlo Feature Map with Neighbor Affinity Constraint.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Fake News Detection Based on the Correlation Extension of Multimodal Information.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
Attention-based learning of self-media data for marketing intention detection.
Eng. Appl. Artif. Intell., 2021

Expert Recommendations with Temporal Dynamics of User Interest in CQA.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

HACK: A Hierarchical Model for Fake News Detection.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Enhancing Fake News Classification by Generating Neural Fake Samples.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020
Deep and broad URL feature mining for android malware detection.
Inf. Sci., 2020

Improving accessibility of the Australian My Health Records while preserving privacy and security of the system.
Health Inf. Sci. Syst., 2020

A CLSTM-TMN for marketing intention detection.
Eng. Appl. Artif. Intell., 2020

A Blockchain based model for Curbing Doctors Shopping and Ensuring Provenance Management.
Proceedings of the International Conference on Networking and Network Applications, 2020

Optimization of passive thermosiphon beam system with genetic algorithm.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
Stream-based live public opinion monitoring approach with adaptive probabilistic topic model.
Soft Comput., 2019

Toward an aspect-oriented cache autoloading framework with annotation.
Int. J. Web Grid Serv., 2019

A Signature-Based Assistant Random Oversampling Method for Malware Detection.
Proceedings of the 18th IEEE International Conference On Trust, 2019

An Abnormal Phone Identification Model with Meta-learning Two-layer Framework Based on PCA Dimension Reduction.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

Abnormal Phone Analysis Based on Learning to Rank and Ensemble Learning in Environment of Telecom Big Data.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

Energy model development for ACB systems.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Exercises Recommendation in Adaptive Learning System.
Proceedings of the 2nd International Conference on Big Data Technologies, 2019

Stacking-Based Ensemble Learning on Low Dimensional Features for Fake News Detection.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

An Integration Method Of Classifiers For Abnormal Phone Detection.
Proceedings of the 6th International Conference on Behavioral, 2019

Abnormal telephone identification via an ensemble-based classification framework.
Proceedings of the ACM Turing Celebration Conference - China, 2019

Context-aware recommendations via a tree-based ensemble framework.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
GIST: A generative model with individual and subgroup-based topics for group recommendation.
Expert Syst. Appl., 2018

POMon: From Simple Keyword Matching to Stream-Based Live Probabilistic Topic Matching.
Proceedings of the 2018 IEEE SmartWorld, 2018

A Bagging-based ensemble method for recommendations under uncertain rating data.
Proceedings of the 2018 International Conference on Security, 2018

Deep and Broad Learning Based Detection of Android Malware via Network Traffic.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Cluster Center Initialization and Outlier Detection Based on Distance and Density for the K-Means Algorithm.
Proceedings of the Intelligent Systems Design and Applications, 2018

2017
Android Malware Clustering Analysis on Network-Level Behavior.
Proceedings of the Intelligent Computing Theories and Application, 2017

Stream-Based Live Probabilistic Topic Computing and Matching.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

Finding Android Malware Trace from Highly Imbalanced Network Traffic.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
Improving matrix approximation for recommendation via a clustering-based reconstructive method.
Neurocomputing, 2016

Jointly modeling content, social network and ratings for explainable and cold-start recommendation.
Neurocomputing, 2016

2015
Next-song recommendation with temporal dynamics.
Knowl. Based Syst., 2015

Addressing cold-start: Scalable recommendation with tags and keywords.
Knowl. Based Syst., 2015

Making recommendations from top-N user-item subgroups.
Neurocomputing, 2015

Promote the Industry Standard of Smart Home in China by Intelligent Router Technology.
CoRR, 2015

A DCT And SVD based Watermarking Technique To Identify Tag.
CoRR, 2015

2014
A Tag Identification Approach Based On Fragile Watermark.
CoRR, 2014

Two-Phase Layered Learning Recommendation via Category Structure.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Using Category and Keyword for Personalized Recommendation: A Scalable Collaborative Filtering Algorithm.
Proceedings of the Sixth International Symposium on Parallel Architectures, 2014

2013
Development of a Portable Taste Sensor with a Lipid/Polymer Membrane.
Sensors, 2013


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