Kaidong Feng

According to our database, Kaidong Feng authored at least 16 papers between 2010 and 2026.

Collaborative distances:

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

2026

FashionStylist: An Expert Knowledge-enhanced Multimodal Dataset for Fashion Understanding.

Kaidong Feng, Zhuoxuan Huang, Huizhong Guo, Yuting Jin, Xinyu Chen, Yue Liang, Yifei Gai, Li Zhou, Yunshan Ma, Zhu Sun

CoRR, April, 2026

A Comparative Study of Traditional Machine Learning, Deep Learning, and Large Language Models for Mental Health Forecasting using Smartphone Sensing Data.

Kaidong Feng, Zhu Sun, Roy Ka-Wei Lee, Xun Jiang, Yin-Leng Theng, Yi Ding

CoRR, January, 2026

2025

Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation.

Kaidong Feng, Zhu Sun, Hui Fang, Jie Yang, Wenyuan Liu, Yew-Soon Ong

CoRR, August, 2025

Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?

Kaidong Feng, Zhu Sun, Jie Yang, Hui Fang, Xinghua Qu, Wenyuan Liu

CoRR, April, 2025

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation.

Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Revisiting Bundle Recommendation for Intent-aware Product Bundling.

Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu

Trans. Recomm. Syst., September, 2024

Potential of Sample Migration and Explainable Machine Learning Model for Monitoring Spatiotemporal Changes of Wetland Plant Communities.

Kaidong Feng, Dehua Mao, Jianing Zhen, Haiguang Pu, Hengqi Yan, Ming Wang, Duanrui Wang, Hengxing Xiang, Yongxing Ren, Ling Luo, Zongming Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Large Language Models for Intent-Driven Session Recommendations.

Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Adaptive In-Context Learning with Large Language Models for Bundle Generation.

Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

Modeling potential wetland distributions in China based on geographic big data and machine learning algorithms.

Hengxing Xiang, Yanbiao Xi, Dehua Mao, Tianyuan Xu, Ming Wang, Fudong Yu, Kaidong Feng, Zongming Wang

Int. J. Digit. Earth, December, 2023

Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation.

Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu

CoRR, 2023

2022

High-Resolution Mapping Changes in the Invasion of Spartina Alterniflora in the Yellow River Delta.

Zhiqiang Qiu, Dehua Mao, Kaidong Feng, Ming Wang, Hengxing Xiang, Zongming Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Mapping Phragmites australis Aboveground Biomass in the Momoge Wetland Ramsar Site Based on Sentinel-1/2 Images.

Yuxin Zhao, Dehua Mao, Dongyou Zhang, Zongming Wang, Baojia Du, Hengqi Yan, Zhiqiang Qiu, Kaidong Feng, Jingfa Wang, Mingming Jia

Remote. Sens., 2022

Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling.

Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Mapping Wetland Plant Communities Using Unmanned Aerial Vehicle Hyperspectral Imagery by Comparing Object/Pixel-Based Classifications Combining Multiple Machine-Learning Algorithms.

Baojia Du, Dehua Mao, Zongming Wang, Zhiqiang Qiu, Hengqi Yan, Kaidong Feng, Zhongbin Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2010

From production capacity to technological capability: an institutional and organisational perspective.

Qunhong Shen, Kaidong Feng

Int. J. Technol. Manag., 2010