Ke Ji

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 67

Top Topics

Hierarchical Text Classification

Ensemble Learning

Highly Imbalanced

Making Recommendations

Top Venues

Eng. Appl. Artif. Intell.

Publications

Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction. LREC/COLING (2024)
Xinyu Liu, Kun Ma, Ke Ji, Zhenxiang Chen, Bo Yang
Graph-based multi-information integration network with external news environment perception for Propaganda detection. Int. J. Web Inf. Syst. 20 (2) (2024)
Junying Chen, Chi Gui, Anningzhe Gao, Ke Ji, Xidong Wang, Xiang Wan, Benyou Wang
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis. CoRR (2024)
Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors. CoRR (2024)
Ziyu Shang, Wenjun Ke, Nana Xiu, Peng Wang, Jiajun Liu, Yanhui Li, Zhizhao Luo, Ke Ji
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning. AAAI (2024)
Junying Chen, Ruyi Ouyang, Anningzhe Gao, Shunian Chen, Guiming Hardy Chen, Xidong Wang, Ruifei Zhang, Zhenyang Cai, Ke Ji, Guangjun Yu, Xiang Wan, Benyou Wang
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale. CoRR (2024)
Song Guo, Ke Ji
Random color transformation for single domain generalized retinal image segmentation. Eng. Appl. Artif. Intell. 136 (2024)
Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li
Fast and Continual Knowledge Graph Embedding via Incremental LoRA. CoRR (2024)
Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu
Towards Continual Knowledge Graph Embedding via Incremental Distillation. CoRR (2024)
Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu
LAMM: Label Alignment for Multi-Modal Prompt Learning. AAAI (2024)
Ke Ji, Junying Chen, Anningzhe Gao, Wenya Xie, Xiang Wan, Benyou Wang
LLMs Could Autonomously Learn Without External Supervision. CoRR (2024)
Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction. CoRR (2024)
Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo
Empirical Analysis of Dialogue Relation Extraction with Large Language Models. CoRR (2024)
Qiang Wei, Kun Ma, Xinyu Liu, Ke Ji, Bo Yang, Ajith Abraham
DIMN: Dual Integrated Matching Network for multi-choice reading comprehension. Eng. Appl. Artif. Intell. 130 (2024)
Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction. CoRR (2024)
Wenya Xie, Qingying Xiao, Yu Zheng, Xidong Wang, Junying Chen, Ke Ji, Anningzhe Gao, Xiang Wan, Feng Jiang, Benyou Wang
LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Them. CoRR (2024)
Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu
Towards Continual Knowledge Graph Embedding via Incremental Distillation. AAAI (2024)
Xinyu Liu, Kun Ma, Qiang Wei, Ke Ji, Bo Yang, Ajith Abraham
G-HFIN: Graph-based Hierarchical Feature Integration Network for propaganda detection of We-media news articles. Eng. Appl. Artif. Intell. 132 (2024)
Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu
MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection. PAKDD (5) (2024)
Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification. CoRR (2024)
Ke Ji, Yixin Lian, Jingsheng Gao, Baoyuan Wang
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification. ACL (1) (2023)
Kun Ma, Changhao Tang, Weijuan Zhang, Benkuan Cui, Ke Ji, Zhenxiang Chen, Ajith Abraham
DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection. Appl. Intell. 53 (7) (2023)
Benkuan Cui, Kun Ma, Leping Li, Weijuan Zhang, Ke Ji, Zhenxiang Chen, Ajith Abraham
Intra-graph and Inter-graph joint information propagation network with third-order text graph tensor for fake news detection. Appl. Intell. 53 (16) (2023)
Rongrong Wang, Shiyuan Han, Jin Zhou, Yuehui Chen, Lin Wang, Tao Du, Ke Ji, Ya-ou Zhao, Kun Zhang
Transfer-Learning-Based Gaussian Mixture Model for Distributed Clustering. IEEE Trans. Cybern. 53 (11) (2023)
Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu
Multimodal Fake News Detection Based on Multi-source Heterogeneous Data Fusion. PAAP (2023)
Ke Ji, Yixin Lian, Jingsheng Gao, Baoyuan Wang
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification. CoRR (2023)
Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu
LAMM: Label Alignment for Multi-Modal Prompt Learning. CoRR (2023)
Jing Chen, Kun Ma, Ke Ji, Zhenxiang Chen
TM-HOL: Topic memory model for detection of hate speech and offensive language. Concurr. Comput. Pract. Exp. 35 (14) (2023)
Yingxu Wang, Qingxue Qin, Jin Zhou, Yuehui Chen, Shiyuan Han, Lin Wang, Tao Du, Ke Ji, Ya-ou Zhao, Kun Zhang
Guided Filter-Based Fuzzy Clustering for General Data Analysis. Int. J. Fuzzy Syst. 25 (5) (2023)
Peng Wang, Tong Shao, Ke Ji, Guozheng Li, Wenjun Ke
fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation. AAAI (2023)
Xiangdao Liu, Rongrong Wang, Jin Zhou, C. L. Philip Chen, Tong Zhang, Yuehui Chen, Shiyuan Han, Tao Du, Ke Ji, Kun Zhang
Transfer Learning-Based Collaborative Multiview Clustering. IEEE Trans. Fuzzy Syst. 31 (4) (2023)
Wenpu Zhang, Yingying Guo, Rongrong Wang, Jin Zhou, Hui Jiang, Shiyuan Han, Lin Wang, Tao Du, Ke Ji
Kernel Fuzzy Clustering based on Quasi-Monte Carlo Feature Map with Neighbor Affinity Constraint. FUZZ-IEEE (2022)
Tianqi Ren, Ke Ji, Zhenxiang Chen, Runyuan Sun, Kun Ma, Jin Zhou
Fake news detection method based on multi-feature fusion of entity and structured text. PAAP (2022)
Yingying Guo, Rongrong Wang, Jin Zhou, Yuehui Chen, Hui Jiang, Shiyuan Han, Lin Wang, Tao Du, Ke Ji, Ya-ou Zhao, Kun Zhang
Soft Subspace Fuzzy Clustering with Dimension Affinity Constraint. Int. J. Fuzzy Syst. 24 (5) (2022)
Changhao Tang, Kun Ma, Benkuan Cui, Ke Ji, Ajith Abraham
Long text feature extraction network with data augmentation. Appl. Intell. 52 (15) (2022)
Weiming Chen, Ke Ji, Yanhui Zhang, Jian Wang
Design and Analysis of Multiload Inductive Power Transfer System Using Bilateral-Excitation Scheme. IEEE Trans. Ind. Informatics 18 (1) (2022)
Yanqiang Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jin Zhou, Jun Wu
Fake News Detection Based on the Correlation Extension of Multimodal Information. APWeb/WAIM (1) (2022)
Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu
Expert Recommendations with Temporal Dynamics of User Interest in CQA. WISE (1) (2021)
Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li
Enhancing Fake News Classification by Generating Neural Fake Samples. DTPI (2021)
Zhihao Hou, Kun Ma, Yufeng Wang, Jia Yu, Ke Ji, Zhenxiang Chen, Ajith Abraham
Attention-based learning of self-media data for marketing intention detection. Eng. Appl. Artif. Intell. 98 (2021)
Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu
HACK: A Hierarchical Model for Fake News Detection. WISE (1) (2021)
Pasupathy Vimalachandran, Hong Liu, Yongzheng Lin, Ke Ji, Hua Wang, Yanchun Zhang
Improving accessibility of the Australian My Health Records while preserving privacy and security of the system. Health Inf. Sci. Syst. 8 (1) (2020)
Shekha Chenthara, Hua Wang, Khandakar Ahmed, Frank Whittaker, Ke Ji
A Blockchain based model for Curbing Doctors Shopping and Ensuring Provenance Management. NaNA (2020)
Ke Ji, Wenjian Cai, Xianhua Ou, Xin Zhang
Optimization of passive thermosiphon beam system with genetic algorithm. IECON (2020)
Yufeng Wang, Kun Ma, Laura García-Hernández, Jing Chen, Zhihao Hou, Ke Ji, Zhenxiang Chen, Ajith Abraham
A CLSTM-TMN for marketing intention detection. Eng. Appl. Artif. Intell. 91 (2020)
Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lizhi Peng, Bo Yang, Mauro Conti
Deep and broad URL feature mining for android malware detection. Inf. Sci. 513 (2020)
Songqian Li, Kun Ma, Xuewei Niu, Yufeng Wang, Ke Ji, Ziqiang Yu, Zhenxiang Chen
Stacking-Based Ensemble Learning on Low Dimensional Features for Fake News Detection. HPCC/SmartCity/DSS (2019)
Ke Ji, Yahan Yuan, Ruanyuan Sun, Lin Wang, Kun Ma, Zhenxiang Chen
Abnormal telephone identification via an ensemble-based classification framework. ACM TUR-C (2019)
Ying Pang, Zhenxiang Chen, Lizhi Peng, Kun Ma, Chuan Zhao, Ke Ji
A Signature-Based Assistant Random Oversampling Method for Malware Detection. TrustCom/BigDataSE (2019)
Jian Liu, Ke Ji, Runyuan Sun, Kun Ma, Zhenxiang Chen, Lin Wang
Abnormal Phone Analysis Based on Learning to Rank and Ensemble Learning in Environment of Telecom Big Data. ICMLC (2019)
Yahan Yuan, Ke Ji, Runyuan Sun, Kun Ma, Zhenxiang Chen, Lin Wang
An Abnormal Phone Identification Model with Meta-learning Two-layer Framework Based on PCA Dimension Reduction. ICMLC (2019)
Kun Ma, Ziqiang Yu, Ke Ji, Bo Yang
Stream-based live public opinion monitoring approach with adaptive probabilistic topic model. Soft Comput. 23 (16) (2019)
Kun Ma, Xuewei Niu, Ziqiang Yu, Ke Ji
Toward an aspect-oriented cache autoloading framework with annotation. Int. J. Web Grid Serv. 15 (3) (2019)
Bingiie Wu, Wenjian Cai, Ke Ji, Xin Zhang, Can Cui
Energy model development for ACB systems. ICCA (2019)
Zuoxi Jin, Kun Ma, Kun Liu, Ke Ji
Exercises Recommendation in Adaptive Learning System. ICBDT (2019)
Ke Ji, Yahan Yuan, Kun Ma, Runyuan Sun, Zhenxiang Chen, Jun Wu
Context-aware recommendations via a tree-based ensemble framework. ACM TUR-C (2019)
Yahan Yuan, Ke Ji, Runyuan Sun, Kun Ma, Zhenxiang Chen, Lin Wang
An Integration Method Of Classifiers For Abnormal Phone Detection. BESC (2019)
Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lin Wang, Bo Yang, Mauro Conti
Deep and Broad Learning Based Detection of Android Malware via Network Traffic. IWQoS (2018)
Ke Ji, Zhenxiang Chen, Runyuan Sun, Kun Ma, Zhongjie Yuan, Guandong Xu
GIST: A generative model with individual and subgroup-based topics for group recommendation. Expert Syst. Appl. 94 (2018)
Kun Ma, Xuewei Niu, Ziqiang Yu, Ke Ji
POMon: From Simple Keyword Matching to Stream-Based Live Probabilistic Topic Matching. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2018)
Ke Ji, Yahan Yuan, Runyuan Sun, Kun Ma, Zhenxiang Chen, Jian Liu
A Bagging-based ensemble method for recommendations under uncertain rating data. SPAC (2018)
Qi He, Zhenxiang Chen, Ke Ji, Lin Wang, Kun Ma, Chuan Zhao, Yuliang Shi
Cluster Center Initialization and Outlier Detection Based on Distance and Density for the K-Means Algorithm. ISDA (1) (2018)
Kun Ma, Ziqiang Yu, Ke Ji, Bo Yang
Stream-Based Live Probabilistic Topic Computing and Matching. ICA3PP (2017)
Shanshan Wang, Zhenxiang Chen, Xiaomei Li, Lin Wang, Ke Ji, Chuan Zhao
Android Malware Clustering Analysis on Network-Level Behavior. ICIC (1) (2017)
Ying Pang, Zhenxiang Chen, Xiaomei Li, Shanshan Wang, Chuan Zhao, Lin Wang, Ke Ji, Zicong Li
Finding Android Malware Trace from Highly Imbalanced Network Traffic. CSE/EUC (1) (2017)
Ke Ji, Hong Shen
Jointly modeling content, social network and ratings for explainable and cold-start recommendation. Neurocomputing 218 (2016)
Ke Ji, Runyuan Sun, Xiang Li, Wenhao Shu
Improving matrix approximation for recommendation via a clustering-based reconstructive method. Neurocomputing 173 (2016)
Ke Ji, Jianbiao Lin, Hui Li, Ao Wang, Tianjing Tang
A DCT And SVD based Watermarking Technique To Identify Tag. CoRR (2015)
Ke Ji, Hong Shen
Making recommendations from top-N user-item subgroups. Neurocomputing 165 (2015)
Hui Lin, Jianbiao Lin, Ke Ji, Jingjie Wang, Feng Lin
Promote the Industry Standard of Smart Home in China by Intelligent Router Technology. CoRR (2015)
Ke Ji, Runyuan Sun, Wenhao Shu, Xiang Li
Next-song recommendation with temporal dynamics. Knowl. Based Syst. 88 (2015)
Ke Ji, Hong Shen
Addressing cold-start: Scalable recommendation with tags and keywords. Knowl. Based Syst. 83 (2015)
Jianbiao Lin, Ke Ji, Hui Lin, Enyan Wu, Xin Gao
A Tag Identification Approach Based On Fragile Watermark. CoRR (2014)
Ke Ji, Hong Shen, Hui Tian, Yanbo Wu, Jun Wu
Two-Phase Layered Learning Recommendation via Category Structure. PAKDD (2) (2014)
Ke Ji, Hong Shen
Using Category and Keyword for Personalized Recommendation: A Scalable Collaborative Filtering Algorithm. PAAP (2014)
Yusuke Tahara, Kenichi Nakashi, Ke Ji, Akihiro Ikeda, Kiyoshi Toko
Development of a Portable Taste Sensor with a Lipid/Polymer Membrane. Sensors 13 (1) (2013)