Hongfeng Chai

According to our database, Hongfeng Chai authored at least 24 papers between 2014 and 2025.

Collaborative distances:

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

2025

LacGCL: Lightweight message masking with linear attention and cross-view interaction graph contrastive learning for recommendation.

Haohe Jia, Peng Hou, Yong Zhou, Hongbin Zhu, Hongfeng Chai

Inf. Process. Manag., 2025

2024

Distributed DRL-Based Intelligent Over-the-Air Computation in Unmanned Aerial Vehicle Swarm-Assisted Intelligent Transportation System.

Peng Hou, Yi Huang, Hongbin Zhu, Zhihui Lu, Shin-Chia Huang, Yang Yang, Hongfeng Chai

IEEE Internet Things J., November, 2024

Intelligent Decision-Based Edge Server Sleep for Green Computing in MEC-Enabled IoV Networks.

Peng Hou, Yi Huang, Hongbin Zhu, Zhihui Lu, Shih-Chia Huang, Hongfeng Chai

IEEE Trans. Intell. Veh., February, 2024

Universal adversarial backdoor attacks to fool vertical federated learning.

Peng Chen, Xin Du, Zhihui Lu, Hongfeng Chai

Comput. Secur., February, 2024

TabSAL: Synthesizing Tabular data with Small agent Assisted Language models.

Jiale Li, Run Qian, Yandan Tan, Zhixin Li, Luyu Chen, Sen Liu, Jie Wu, Hongfeng Chai

Knowl. Based Syst., 2024

Towards transferable adversarial attacks on vision transformers for image classification.

Xu Guo, Peng Chen, Zhihui Lu, Hongfeng Chai, Xin Du, Xudong Wu

J. Syst. Archit., 2024

DPTVAE: Data-driven prior-based tabular variational autoencoder for credit data synthesizing.

Yandan Tan, Hongbin Zhu, Jie Wu, Hongfeng Chai

Expert Syst. Appl., 2024

FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning.

Liuzhi Zhou, Yu He, Kun Zhai, Xiang Liu, Sen Liu, Xingjun Ma, Guangnan Ye, Yu-Gang Jiang, Hongfeng Chai

CoRR, 2024

SilverSight: A Multi-Task Chinese Financial Large Language Model Based on Adaptive Semantic Space Learning.

Yuhang Zhou, Zeping Li, Siyu Tian, Yuchen Ni, Sen Liu, Guangnan Ye, Hongfeng Chai

CoRR, 2024

Fraud Detection with Binding Global and Local Relational Interaction.

Haolin Li, Shuyang Jiang, Lifeng Zhang, Siyuan Du, Guangnan Ye, Hongfeng Chai

CoRR, 2024

Are Large Language Models Rational Investors?

Yuhang Zhou, Yuchen Ni, Xiang Liu, Jian Zhang, Sen Liu, Guangnan Ye, Hongfeng Chai

CoRR, 2024

FairFix: Enhancing Fairness of Pre-Trained Deep Neural Networks with Scarce Data Resources.

Zhixin Li, Rui Zhu, Zihao Wang, Jiale Li, Kaiyuan Liu, Yue Qin, Yongming Fan, Mingyu Gu, Zhihui Lu, Jie Wu, Hongfeng Chai, Xiaofeng Wang, Haixu Tang

Proceedings of the 10th IEEE International Conference on Intelligent Data and Security, 2024

R³-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL.

Yuhang Zhou, Yu He, Siyu Tian, Yuchen Ni, Zhangyue Yin, Xiang Liu, Chuanjun Ji, Sen Liu, Xipeng Qiu, Guangnan Ye, Hongfeng Chai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph.

Hongjie Xia, Huijie Ao, Long Li, Yu Liu, Sen Liu, Guangnan Ye, Hongfeng Chai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

R³-NL2GQL: A Hybrid Models Approach for for Accuracy Enhancing and Hallucinations Mitigation.

Yuhang Zhou, He Yu, Siyu Tian, Dan Chen, Liuzhi Zhou, Xinlin Yu, Chuanjun Ji, Sen Liu, Guangnan Ye, Hongfeng Chai

CoRR, 2023

Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration.

Peng Chen, Xin Du, Zhihui Lu, Hongfeng Chai

CoRR, 2023

A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning.

Peng Chen, Jirui Yang, Junxiong Lin, Zhihui Lu, Qiang Duan, Hongfeng Chai

Proceedings of the IEEE International Conference on Data Mining, 2023

Tab-Attention: Self-Attention-Based Stacked Generalization for Imbalanced Credit Default Prediction.

Yandan Tan, Hongbin Zhu, Jie Wu, Hongfeng Chai

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

MCHPT: A Weakly Supervise Based Merchant Pre-trained Model.

Zehua Zeng, Xiaohan She, Xuetao Qiu, Hongfeng Chai, Yanming Yang

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing.

Anbu Huang, Yang Liu, Tianjian Chen, Yongkai Zhou, Quan Sun, Hongfeng Chai, Qiang Yang

ACM Trans. Intell. Syst. Technol., 2021

Research on Construction of Supply Chain Financial Platform Based on Blockchain Technology.

Shuai Wang, Pushan Xiao, Hongfeng Chai, Xiaojun Tu, Quan Sun, Hua Cai, Fei-Yue Wang

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2018

Fraud detection within bankcard enrollment on mobile device based payment using machine learning.

Hao Zhou, Hongfeng Chai, Mao-lin Qiu

Frontiers Inf. Technol. Electron. Eng., 2018

2016

UStore: An optimized storage system for enterprise data warehouses at UnionPay.

Hongfeng Chai, Hao Liu, Xibo Zhou, Yanjun Xu, Shuo He, Jinzhi Hua, Dongjie He, Weihuai Liu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2014

TEEI - A Mobile Security Infrastructure for TEE Integration.

Hongfeng Chai, Zhijun Lu, Qingyang Meng, Jun Wang, Xiubang Zhang, Zhijian Zhang

Proceedings of the 13th IEEE International Conference on Trust, 2014