Kaidong Feng

17 papers A* 4Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Comparative Study of Traditional Machine Learning, Deep Learning, and Large Language Models for Mental Health Forecasting using Smartphone Sensing Data.
CoRR
Kaidong Feng, Zhu Sun, Roy Ka-Wei Lee, Xun Jiang, Yin-Leng Theng, Yi Ding
2025 J jnl
Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?
CoRR
Kaidong Feng, Zhu Sun, Jie Yang, Hui Fang, Xinghua Qu, Wenyuan Liu
2025 A* conf
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation.
AAAI
Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang
2025 J jnl
Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation.
CoRR
Kaidong Feng, Zhu Sun, Hui Fang, Jie Yang, Wenyuan Liu, Yew-Soon Ong
2024 A* conf
Adaptive In-Context Learning with Large Language Models for Bundle Generation.
SIGIR
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2024 A* conf
Large Language Models for Intent-Driven Session Recommendations.
SIGIR
Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong
2024 J jnl
Potential of Sample Migration and Explainable Machine Learning Model for Monitoring Spatiotemporal Changes of Wetland Plant Communities.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Kaidong Feng, Dehua Mao, Jianing Zhen, Haiguang Pu, Hengqi Yan, Ming Wang, Duanrui Wang, Hengxing Xiang, Yongxing Ren, Ling Luo, Zongming Wang
2024 J jnl
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation.
CoRR
Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang
2024 J jnl
Revisiting Bundle Recommendation for Intent-aware Product Bundling.
Trans. Recomm. Syst.
Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu
2023 J jnl
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation.
CoRR
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2023 J jnl
Large Language Models for Intent-Driven Session Recommendations.
CoRR
Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong
2023 J jnl
Modeling potential wetland distributions in China based on geographic big data and machine learning algorithms.
Int. J. Digit. Earth
Hengxing Xiang, Yanbiao Xi, Dehua Mao, Tianyuan Xu, Ming Wang, Fudong Yu, Kaidong Feng, Zongming Wang
2022 J jnl
High-Resolution Mapping Changes in the Invasion of Spartina Alterniflora in the Yellow River Delta.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zhiqiang Qiu, Dehua Mao, Kaidong Feng, Ming Wang, Hengxing Xiang, Zongming Wang
2022 J jnl
Mapping Phragmites australis Aboveground Biomass in the Momoge Wetland Ramsar Site Based on Sentinel-1/2 Images.
Remote. Sens.
Yuxin Zhao, Dehua Mao, Dongyou Zhang, Zongming Wang, Baojia Du, Hengqi Yan, Zhiqiang Qiu, Kaidong Feng, Jingfa Wang, Mingming Jia
2022 A* conf
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling.
SIGIR
Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong
2021 J jnl
Mapping Wetland Plant Communities Using Unmanned Aerial Vehicle Hyperspectral Imagery by Comparing Object/Pixel-Based Classifications Combining Multiple Machine-Learning Algorithms.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Baojia Du, Dehua Mao, Zongming Wang, Zhiqiang Qiu, Hengqi Yan, Kaidong Feng, Zhongbin Zhang
2010 J jnl
From production capacity to technological capability: an institutional and organisational perspective.
Int. J. Technol. Manag.
Qunhong Shen, Kaidong Feng