Keyan Jin

According to our database, Keyan Jin authored at least 25 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Agri-CPJ: A Training-Free Explainable Framework for Agricultural Pest Diagnosis Using Caption-Prompt-Judge and LLM-as-a-Judge.

Wentao Zhang, Qi Zhang, Mingkun Xu, Mu You, Henghua Shen, Zhongzhi He, Keyan Jin, Derek F. Wong, Tao Fang

CoRR, April, 2026

SAMAS: A Spectrum-Guided Multi-Agent System for Achieving Style Fidelity in Literary Translation.

Jingzhuo Wu, Jiajun Zhang, Keyan Jin, Dehua Ma, Junbo Wang

CoRR, February, 2026

AgentGC: Evolutionary Learning-based Lossless Compression for Genomics Data with LLM-driven Multiple Agent.

Sun Hui, Yanfeng Ding, Huidong Ma, Chang Xu, Keyan Jin, Lizheng Zu, Cheng Zhong, Xiaoguang Liu, Gang Wang, Wentong Cai

CoRR, January, 2026

Reasoning or not? A comprehensive evaluation of reasoning LLMs for dialogue summarization.

Keyan Jin, Yapeng Wang, Leonel Santos, Tao Fang, Xu Yang, Sio Kei Im, Hugo Gonçalo Oliveira

Expert Syst. Appl., 2026

HiCORE: Enhancing consumer intent prediction via hybrid attention and contrastive learning in sequential recommendation.

Keyan Jin, Francisco Javier Blanco-Encomienda

Expert Syst. Appl., 2026

Role-aware adapters for dialogue summarization in Seq2Seq models.

Keyan Jin, Yapeng Wang, Leonel Santos, Hugo Gonçalo Oliveira, Xu Yang, Sio Kei Im

Appl. Soft Comput., 2026

2025

LLMCL-GEC: Advancing grammatical error correction with LLM-driven curriculum learning.

Tao Fang, Tianyu Zhang, Derek F. Wong, Keyan Jin, Lusheng Zhang, Qiang Zhang, Tianjiao Li, Jinlong Hou, Lidia S. Chao

Expert Syst. Appl., 2025

HiSum: Hierarchical Topic-Driven Approach for Role-Oriented Dialogue Summarisation.

Keyan Jin, Yapeng Wang, Xu Yang, Sio Kei Im

Expert Syst. J. Knowl. Eng., 2025

Prototype-Guided Representation Projection for Multi-Domain Multi-Task Recommendation.

Binrui Wu, Haochen Sui, Jiaye Lin, Jiechao Gao, Ting Xu, Keyan Jin, Xuesong Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

NILMixer: A Novel Multi-Seq2Seq Model for Load Disaggregation in Long-Term Windows.

Houyi Zhu, Chao Wang, Bin Wang, Zonghui Wang, Youlong Zhang, Keyan Jin

Proceedings of the International Joint Conference on Neural Networks, 2025

Manipulating the Bounding Box: Multimodal Controlled Backdoor Attacks on 3D Visual Grounding Models.

Xiayue Zhang, Huashuo Lei, Daizong Liu, Xiaoye Qu, Xiang Fang, Runwei Guan, Keyan Jin

Proceedings of the International Joint Conference on Neural Networks, 2025

MonoAttack: A Strong Attack Framework with Depth-Migration and Attribute-Tampering for Monocular 3D Object Detection.

Xiayue Zhang, Huashuo Lei, Daizong Liu, Xiaoye Qu, Xiang Fang, Runwei Guan, Keyan Jin

Proceedings of the International Joint Conference on Neural Networks, 2025

Exploring Disentangled Appearance-Motion Contexts for Temporal Activity Localization.

Huashuo Lei, Xiaowen Cai, Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, Jixiang Yu, Keyan Jin

Proceedings of the International Joint Conference on Neural Networks, 2025

DABART: Dynamic Semantic Optimization Framework for Dialogue Summarization via Adaptive Topic Analysis and Semantic Bridging.

Keyan Jin, Yapeng Wang, Leonel Santos, Tao Fang, Xu Yang, Sio Kei Im

Proceedings of the International Joint Conference on Neural Networks, 2025

DRMoE: Discourse-Aware Rhetorical Structure for Meeting Summarization with Mixture of Experts.

Keyan Jin

Proceedings of the International Joint Conference on Neural Networks, 2025

Multi-Object Grounding via Hierarchical Contrastive Siamese Transformers.

Chengyi Du, Keyan Jin

Proceedings of the International Joint Conference on Neural Networks, 2025

SM-CBNet: A Speech-Based Parkinson's Disease Diagnosis Model with SMOTE-ENN and CNN + BiLSTM Integration.

Xu Wang, Weichao Pan, Ruida Liu, Zhen Tian, Keyan Jin

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

LDGNet: LLMs Debate-Guided Network for Multimodal Sarcasm Detection.

Hengyang Zhou, Jinwu Yan, Yaqing Chen, Rongman Hong, Wenbo Zuo, Keyan Jin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SSCM: Self-Supervised Critical Model for Reducing Hallucinations in Chinese Financial Text Generation.

Keyan Jin, Yapeng Wang, Leonel Santos, Tao Fang, Xu Yang, Sio Kei Im

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

FDS-Net: A Frequency-Decomposed Synergistic Network for Multivariate Time Series Prediction.

Zhijiang Wang, Yuqi Li, Jinzhe Liang, Keyan Jin

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

Sustainable Digital Marketing Under Big Data: An AI Random Forest Model Approach.

Keyan Jin, Ziqi Zhong, Elena Yifei Zhao

IEEE Trans. Engineering Management, 2024

LLMCL-GEC: Advancing Grammatical Error Correction with LLM-Driven Curriculum Learning.

Tao Fang, Derek F. Wong, Lusheng Zhang, Keyan Jin, Qiang Zhang, Tianjiao Li, Jinlong Hou, Lidia S. Chao

CoRR, 2024

Cross-Domain Transfer in Residual Networks for Clinical Image Partitioning.

Mingshuo Wang, Keyan Jin, Wenzhuo Bao, Zhenghan Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Impacts of Word of Mouth (WOM) on E-Business Online Pricing.

Keyan Jin

J. Glob. Inf. Manag., 2023

2022

Financial Risk Early Warning Model of Listed Companies Under Rough Set Theory Using BPNN.

Chengai Li, Keyan Jin, Ziqi Zhong, Ping Zhou, Kunzhi Tang

J. Glob. Inf. Manag., 2022