Ke Ji

111 papers A* 14B 3C 5Misc 2Journal 58Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use.
CoRR
Aili Chen, Chi Zhang, Junteng Liu, Jiangjie Chen, Chengyu Du, Yunji Li, Ming Zhong, Qin Wang, Zhengmao Zhu, Jiayuan Song, Ke Ji, Junxian He, Pengyu Zhao, Yanghua Xiao
2026 J jnl
DiverSeed: Integrating Active Learning for Target Domain Data Generation in Instruction Tuning.
Mach. Learn.
Jingsheng Gao, Mengnan Qi, Xian Gao, Suncheng Xiang, Ke Ji, Jiacheng Ruan, Ting Liu, Yuzhuo Fu
2026 J jnl
ESEN: Evidence-aware Semantic Enhancement Network for Fact-checking Fake News Detection.
Eng. Appl. Artif. Intell.
Yanfang Qiu, Kun Ma, Xiaoyun Liu, Ke Ji, Zhenxiang Chen, Bo Yang
2026 A* conf
Unlearning of Knowledge Graph Embedding via Preference Optimization.
WWW
Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji
2025 — conf
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis.
ACL (Findings)
Junying Chen, Chi Gui, Anningzhe Gao, Ke Ji, Xidong Wang, Xiang Wan, Benyou Wang
2025 J jnl
EDCIN: enhanced dual-channel interaction network for multi-label text classification.
Int. J. Web Inf. Syst.
Xiaoyun Liu, Kun Ma, Weijuan Zhang, Yanfang Qiu, Zhenxiang Chen, Ke Ji, Bo Yang
2025 J jnl
Enabling Doctor-Centric Medical AI with LLMs through Workflow-Aligned Tasks and Benchmarks.
CoRR
Wenya Xie, Qingying Xiao, Yu Zheng, Xidong Wang, Junying Chen, Ke Ji, Anningzhe Gao, Prayag Tiwari, Xiang Wan, Feng Jiang, Benyou Wang
2025 — conf
Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learning.
ACL (Findings)
Ke Ji, Yixin Lian, Linxu Li, Jingsheng Gao, Weiyuan Li, Bin Dai
2025 J jnl
Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learning.
CoRR
Ke Ji, Yixin Lian, Linxu Li, Jingsheng Gao, Weiyuan Li, Bin Dai
2025 C conf
Entity-Aware Multi-Perspective Semantic Fusion Network for Fact-Checking Fake News Detection.
CSCWD
Yanfang Qiu, Weijuan Zhang, Kun Ma, Xiaoyun Liu, Ke Ji, Bo Yang
2025 B conf
Fake News Detection Based on Cross-Semantic Multimodal Data Fusion.
IJCNN
Ruxin Wang, Ke Ji, Yuan Gao, Kun Ma, Chong Ma, Xiaofan Zhao
2025 C conf
LMFN: Label-Aware Multi-Semantic Fusion Network for Multi-Label Text Classification.
CSCWD
Xiaoyun Liu, Weijuan Zhang, Kun Ma, Yanfang Qiu, Ke Ji, Bo Yang
2025 J jnl
MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos.
CoRR
Rongsheng Wang, Junying Chen, Ke Ji, Zhenyang Cai, Shunian Chen, Yunjin Yang, Benyou Wang
2025 J jnl
QFFT, Question-Free Fine-Tuning for Adaptive Reasoning.
CoRR
Wanlong Liu, Junxiao Xu, Fei Yu, Yukang Lin, Ke Ji, Wenyu Chen, Yan Xu, Yasheng Wang, Lifeng Shang, Benyou Wang
2025 A* conf
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions.
EMNLP
Wanlong Liu, Junying Chen, Ke Ji, Li Zhou, Wenyu Chen, Benyou Wang
2025 J jnl
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions.
CoRR
Wanlong Liu, Junying Chen, Ke Ji, Li Zhou, Wenyu Chen, Benyou Wang
2025 J jnl
Robust recommendation-oriented malicious attack detection method.
Inf. Sci.
Hui Liu, Ke Ji, Kun Ma, Zhenxiang Chen, Jin Zhou, Jun Wu
2025 J jnl
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation.
CoRR
Junying Chen, Zhenyang Cai, Pengcheng Chen, Shunian Chen, Ke Ji, Xidong Wang, Yunjin Yang, Benyou Wang
2025 A* conf
SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback.
ICLR
Jingsheng Gao, Linxu Li, Ke Ji, Weiyuan Li, Yixin Lian, Yuzhuo Fu, Bin Dai
2025 J jnl
The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models.
CoRR
Ke Ji, Jiahao Xu, Tian Liang, Qiuzhi Liu, Zhiwei He, Xingyu Chen, Xiaoyuan Liu, Zhijie Wang, Junying Chen, Benyou Wang, Zhaopeng Tu, Haitao Mi, Dong Yu
2025 — conf
Towards Medical Complex Reasoning with LLMs through Medical Verifiable Problems.
ACL (Findings)
Junying Chen, Zhenyang Cai, Ke Ji, Xidong Wang, Wanlong Liu, Rongsheng Wang, Benyou Wang
2025 J jnl
Unlearning of Knowledge Graph Embedding via Preference Optimization.
CoRR
Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji
2025 — conf
Unlocking LLMs' Self-Improvement Capacity with Autonomous Learning for Domain Adaptation.
ACL (Findings)
Ke Ji, Junying Chen, Anningzhe Gao, Wenya Xie, Xiang Wan, Benyou Wang
2025 J jnl
WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents.
CoRR
Junteng Liu, Yunji Li, Chi Zhang, Jingyang Li, Aili Chen, Ke Ji, Weiyu Cheng, Zijia Wu, Chengyu Du, Qidi Xu, Jiayuan Song, Zhengmao Zhu, Wenhu Chen, Pengyu Zhao, Junxian He
2024 C conf
A Multimodal Fusion Framework for Fake News Detection via Multi-Attention Mechanism.
ISPA
Yongxin Yu, Yanqiang Li, Ke Ji, Zhenxiang Chen, Kun Ma, Xiaofan Zhao
2024 J jnl
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis.
CoRR
Junying Chen, Chi Gui, Anningzhe Gao, Ke Ji, Xidong Wang, Xiang Wan, Benyou Wang
2024 J jnl
DIMN: Dual Integrated Matching Network for multi-choice reading comprehension.
Eng. Appl. Artif. Intell.
Qiang Wei, Kun Ma, Xinyu Liu, Ke Ji, Bo Yang, Ajith Abraham
2024 A* conf
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification.
IJCAI
Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang
2024 J jnl
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification.
CoRR
Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang
2024 A* conf
Empirical Analysis of Dialogue Relation Extraction with Large Language Models.
IJCAI
Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo
2024 J jnl
Empirical Analysis of Dialogue Relation Extraction with Large Language Models.
CoRR
Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo
2024 A* conf
Fast and Continual Knowledge Graph Embedding via Incremental LoRA.
IJCAI
Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li
2024 J jnl
Fast and Continual Knowledge Graph Embedding via Incremental LoRA.
CoRR
Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li
2024 J jnl
G-HFIN: Graph-based Hierarchical Feature Integration Network for propaganda detection of We-media news articles.
Eng. Appl. Artif. Intell.
Xinyu Liu, Kun Ma, Qiang Wei, Ke Ji, Bo Yang, Ajith Abraham
2024 J jnl
Graph-based multi-information integration network with external news environment perception for Propaganda detection.
Int. J. Web Inf. Syst.
Xinyu Liu, Kun Ma, Ke Ji, Zhenxiang Chen, Bo Yang
2024 J jnl
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale.
CoRR
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
2024 J jnl
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.
CoRR
Junying Chen, Zhenyang Cai, Ke Ji, Xidong Wang, Wanlong Liu, Rongsheng Wang, Jianye Hou, Benyou Wang
2024 A* conf
Incorporating Schema-Aware Description into Document-Level Event Extraction.
IJCAI
Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu
2024 A* conf
LAMM: Label Alignment for Multi-Modal Prompt Learning.
AAAI
Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu
2024 J jnl
LLMs Could Autonomously Learn Without External Supervision.
CoRR
Ke Ji, Junying Chen, Anningzhe Gao, Wenya Xie, Xiang Wan, Benyou Wang
2024 J jnl
LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Them.
CoRR
Wenya Xie, Qingying Xiao, Yu Zheng, Xidong Wang, Junying Chen, Ke Ji, Anningzhe Gao, Xiang Wan, Feng Jiang, Benyou Wang
2024 — conf
MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection.
PAKDD (5)
Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu
2024 — conf
Malicious Attack Detection Method for Recommendation Systems Based on Meta-pseudo Labels and Dynamic Features.
APWeb/WAIM (4)
Hui Liu, Ke Ji, Zhenxiang Chen, Kun Ma, Xiaofan Zhao
2024 A* conf
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors.
IJCAI
Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu
2024 J jnl
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors.
CoRR
Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu
2024 A* conf
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning.
AAAI
Ziyu Shang, Wenjun Ke, Nana Xiu, Peng Wang, Jiajun Liu, Yanhui Li, Zhizhao Luo, Ke Ji
2024 J jnl
Random color transformation for single domain generalized retinal image segmentation.
Eng. Appl. Artif. Intell.
Song Guo, Ke Ji
2024 A* conf
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction.
IJCAI
Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu
2024 J jnl
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction.
CoRR
Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu
2024 J jnl
SEN-CTD: semantic enhancement network with content-title discrepancy for fake news detection.
Int. J. Web Inf. Syst.
Jiaqi Fang, Kun Ma, Yanfang Qiu, Ke Ji, Zhenxiang Chen, Bo Yang
2024 A* conf
Towards Continual Knowledge Graph Embedding via Incremental Distillation.
AAAI
Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu
2024 J jnl
Towards Continual Knowledge Graph Embedding via Incremental Distillation.
CoRR
Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu
2024 A* conf
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale.
EMNLP
Junying Chen, Chi Gui, Ruyi Ouyang, Anningzhe Gao, Shunian Chen, Guiming Chen, Xidong Wang, Zhenyang Cai, Ke Ji, Xiang Wan, Benyou Wang
2024 — conf
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction.
LREC/COLING
Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo
2024 J jnl
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction.
CoRR
Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo
2023 J jnl
DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection.
Appl. Intell.
Kun Ma, Changhao Tang, Weijuan Zhang, Benkuan Cui, Ke Ji, Zhenxiang Chen, Ajith Abraham
2023 J jnl
Guided Filter-Based Fuzzy Clustering for General Data Analysis.
Int. J. Fuzzy Syst.
Yingxu Wang, Qingxue Qin, Jin Zhou, Yuehui Chen, Shiyuan Han, Lin Wang, Tao Du, Ke Ji, Ya-ou Zhao, Kun Zhang
2023 — conf
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification.
ACL (1)
Ke Ji, Yixin Lian, Jingsheng Gao, Baoyuan Wang
2023 J jnl
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification.
CoRR
Ke Ji, Yixin Lian, Jingsheng Gao, Baoyuan Wang
2023 J jnl
Intra-graph and Inter-graph joint information propagation network with third-order text graph tensor for fake news detection.
Appl. Intell.
Benkuan Cui, Kun Ma, Leping Li, Weijuan Zhang, Ke Ji, Zhenxiang Chen, Ajith Abraham
2023 J jnl
LAMM: Label Alignment for Multi-Modal Prompt Learning.
CoRR
Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu
2023 — conf
Multimodal Fake News Detection Based on Multi-source Heterogeneous Data Fusion.
PAAP
Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu
2023 J jnl
TM-HOL: Topic memory model for detection of hate speech and offensive language.
Concurr. Comput. Pract. Exp.
Jing Chen, Kun Ma, Ke Ji, Zhenxiang Chen
2023 J jnl
Transfer Learning-Based Collaborative Multiview Clustering.
IEEE Trans. Fuzzy Syst.
Xiangdao Liu, Rongrong Wang, Jin Zhou, C. L. Philip Chen, Tong Zhang, Yuehui Chen, Shiyuan Han, Tao Du, Ke Ji, Kun Zhang
2023 J jnl
Transfer-Learning-Based Gaussian Mixture Model for Distributed Clustering.
IEEE Trans. Cybern.
Rongrong Wang, Shiyuan Han, Jin Zhou, Yuehui Chen, Lin Wang, Tao Du, Ke Ji, Ya-ou Zhao, Kun Zhang
2023 A* conf
fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation.
AAAI
Peng Wang, Tong Shao, Ke Ji, Guozheng Li, Wenjun Ke
2022 J jnl
Design and Analysis of Multiload Inductive Power Transfer System Using Bilateral-Excitation Scheme.
IEEE Trans. Ind. Informatics
Weiming Chen, Ke Ji, Yanhui Zhang, Jian Wang
2022 — conf
Fake News Detection Based on the Correlation Extension of Multimodal Information.
APWeb/WAIM (1)
Yanqiang Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jin Zhou, Jun Wu
2022 — conf
Fake news detection method based on multi-feature fusion of entity and structured text.
PAAP
Tianqi Ren, Ke Ji, Zhenxiang Chen, Runyuan Sun, Kun Ma, Jin Zhou
2022 B conf
Kernel Fuzzy Clustering based on Quasi-Monte Carlo Feature Map with Neighbor Affinity Constraint.
FUZZ-IEEE
Wenpu Zhang, Yingying Guo, Rongrong Wang, Jin Zhou, Hui Jiang, Shiyuan Han, Lin Wang, Tao Du, Ke Ji
2022 J jnl
Long text feature extraction network with data augmentation.
Appl. Intell.
Changhao Tang, Kun Ma, Benkuan Cui, Ke Ji, Ajith Abraham
2022 J jnl
Soft Subspace Fuzzy Clustering with Dimension Affinity Constraint.
Int. J. Fuzzy Syst.
Yingying Guo, Rongrong Wang, Jin Zhou, Yuehui Chen, Hui Jiang, Shiyuan Han, Lin Wang, Tao Du, Ke Ji, Ya-ou Zhao, Kun Zhang
2021 J jnl
Attention-based learning of self-media data for marketing intention detection.
Eng. Appl. Artif. Intell.
Zhihao Hou, Kun Ma, Yufeng Wang, Jia Yu, Ke Ji, Zhenxiang Chen, Ajith Abraham
2021 — conf
Enhancing Fake News Classification by Generating Neural Fake Samples.
DTPI
Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li
2021 — conf
Expert Recommendations with Temporal Dynamics of User Interest in CQA.
WISE (1)
Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu
2021 — conf
HACK: A Hierarchical Model for Fake News Detection.
WISE (1)
Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu
2020 — conf
A Blockchain based model for Curbing Doctors Shopping and Ensuring Provenance Management.
NaNA
Shekha Chenthara, Hua Wang, Khandakar Ahmed, Frank Whittaker, Ke Ji
2020 J jnl
A CLSTM-TMN for marketing intention detection.
Eng. Appl. Artif. Intell.
Yufeng Wang, Kun Ma, Laura García-Hernández, Jing Chen, Zhihao Hou, Ke Ji, Zhenxiang Chen, Ajith Abraham
2020 J jnl
Deep and broad URL feature mining for android malware detection.
Inf. Sci.
Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lizhi Peng, Bo Yang, Mauro Conti
2020 J jnl
Improving accessibility of the Australian My Health Records while preserving privacy and security of the system.
Health Inf. Sci. Syst.
Pasupathy Vimalachandran, Hong Liu, Yongzheng Lin, Ke Ji, Hua Wang, Yanchun Zhang
2020 C conf
Optimization of passive thermosiphon beam system with genetic algorithm.
IECON
Ke Ji, Wenjian Cai, Xianhua Ou, Xin Zhang
2019 — conf
A Signature-Based Assistant Random Oversampling Method for Malware Detection.
TrustCom/BigDataSE
Ying Pang, Zhenxiang Chen, Lizhi Peng, Kun Ma, Chuan Zhao, Ke Ji
2019 Misc conf
Abnormal Phone Analysis Based on Learning to Rank and Ensemble Learning in Environment of Telecom Big Data.
ICMLC
Jian Liu, Ke Ji, Runyuan Sun, Kun Ma, Zhenxiang Chen, Lin Wang
2019 — conf
Abnormal telephone identification via an ensemble-based classification framework.
ACM TUR-C
Ke Ji, Yahan Yuan, Ruanyuan Sun, Lin Wang, Kun Ma, Zhenxiang Chen
2019 Misc conf
An Abnormal Phone Identification Model with Meta-learning Two-layer Framework Based on PCA Dimension Reduction.
ICMLC
Yahan Yuan, Ke Ji, Runyuan Sun, Kun Ma, Zhenxiang Chen, Lin Wang
2019 — conf
An Integration Method Of Classifiers For Abnormal Phone Detection.
BESC
Yahan Yuan, Ke Ji, Runyuan Sun, Kun Ma, Zhenxiang Chen, Lin Wang
2019 — conf
Context-aware recommendations via a tree-based ensemble framework.
ACM TUR-C
Ke Ji, Yahan Yuan, Kun Ma, Runyuan Sun, Zhenxiang Chen, Jun Wu
2019 — conf
Energy model development for ACB systems.
ICCA
Bingiie Wu, Wenjian Cai, Ke Ji, Xin Zhang, Can Cui
2019 — conf
Exercises Recommendation in Adaptive Learning System.
ICBDT
Zuoxi Jin, Kun Ma, Kun Liu, Ke Ji
2019 — conf
Stacking-Based Ensemble Learning on Low Dimensional Features for Fake News Detection.
HPCC/SmartCity/DSS
Songqian Li, Kun Ma, Xuewei Niu, Yufeng Wang, Ke Ji, Ziqiang Yu, Zhenxiang Chen
2019 J jnl
Stream-based live public opinion monitoring approach with adaptive probabilistic topic model.
Soft Comput.
Kun Ma, Ziqiang Yu, Ke Ji, Bo Yang
2019 J jnl
Toward an aspect-oriented cache autoloading framework with annotation.
Int. J. Web Grid Serv.
Kun Ma, Xuewei Niu, Ziqiang Yu, Ke Ji
2018 — conf
A Bagging-based ensemble method for recommendations under uncertain rating data.
SPAC
Ke Ji, Yahan Yuan, Runyuan Sun, Kun Ma, Zhenxiang Chen, Jian Liu
2018 — conf
Cluster Center Initialization and Outlier Detection Based on Distance and Density for the K-Means Algorithm.
ISDA (1)
Qi He, Zhenxiang Chen, Ke Ji, Lin Wang, Kun Ma, Chuan Zhao, Yuliang Shi
2018 B conf
Deep and Broad Learning Based Detection of Android Malware via Network Traffic.
IWQoS
Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lin Wang, Bo Yang, Mauro Conti
2018 J jnl
GIST: A generative model with individual and subgroup-based topics for group recommendation.
Expert Syst. Appl.
Ke Ji, Zhenxiang Chen, Runyuan Sun, Kun Ma, Zhongjie Yuan, Guandong Xu
2018 — conf
POMon: From Simple Keyword Matching to Stream-Based Live Probabilistic Topic Matching.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Kun Ma, Xuewei Niu, Ziqiang Yu, Ke Ji
2017 — conf
Android Malware Clustering Analysis on Network-Level Behavior.
ICIC (1)
Shanshan Wang, Zhenxiang Chen, Xiaomei Li, Lin Wang, Ke Ji, Chuan Zhao
2017 — conf
Finding Android Malware Trace from Highly Imbalanced Network Traffic.
CSE/EUC (1)
Ying Pang, Zhenxiang Chen, Xiaomei Li, Shanshan Wang, Chuan Zhao, Lin Wang, Ke Ji, Zicong Li
2017 C conf
Stream-Based Live Probabilistic Topic Computing and Matching.
ICA3PP
Kun Ma, Ziqiang Yu, Ke Ji, Bo Yang
2016 J jnl
Improving matrix approximation for recommendation via a clustering-based reconstructive method.
Neurocomputing
Ke Ji, Runyuan Sun, Xiang Li, Wenhao Shu
2016 J jnl
Jointly modeling content, social network and ratings for explainable and cold-start recommendation.
Neurocomputing
Ke Ji, Hong Shen
2015 J jnl
A DCT And SVD based Watermarking Technique To Identify Tag.
CoRR
Ke Ji, Jianbiao Lin, Hui Li, Ao Wang, Tianjing Tang
2015 J jnl
Addressing cold-start: Scalable recommendation with tags and keywords.
Knowl. Based Syst.
Ke Ji, Hong Shen
2015 J jnl
Making recommendations from top-N user-item subgroups.
Neurocomputing
Ke Ji, Hong Shen
2015 J jnl
Next-song recommendation with temporal dynamics.
Knowl. Based Syst.
Ke Ji, Runyuan Sun, Wenhao Shu, Xiang Li
2015 J jnl
Promote the Industry Standard of Smart Home in China by Intelligent Router Technology.
CoRR
Hui Lin, Jianbiao Lin, Ke Ji, Jingjie Wang, Feng Lin
2014 J jnl
A Tag Identification Approach Based On Fragile Watermark.
CoRR
Jianbiao Lin, Ke Ji, Hui Lin, Enyan Wu, Xin Gao
2014 — conf
Two-Phase Layered Learning Recommendation via Category Structure.
PAKDD (2)
Ke Ji, Hong Shen, Hui Tian, Yanbo Wu, Jun Wu
2014 — conf
Using Category and Keyword for Personalized Recommendation: A Scalable Collaborative Filtering Algorithm.
PAAP
Ke Ji, Hong Shen
2013 J jnl
Development of a Portable Taste Sensor with a Lipid/Polymer Membrane.
Sensors
Yusuke Tahara, Kenichi Nakashi, Ke Ji, Akihiro Ikeda, Kiyoshi Toko