Kefan Wang

According to our database, Kefan Wang authored at least 29 papers between 2021 and 2025.

Collaborative distances:

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

2025

RDM2: a two-stage model based on residual learning diffusion model and multi-scale convolution for Low Dose CT denoising.

Zhencun Jiang, Kangrui Ren, Kefan Wang, Zhongjie Wang

Appl. Intell., August, 2025

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection.

Dezhi An, Wenqiang Liu, Kefan Wang, Zening Chen, Jun Lu, Shengcai Zhang

CoRR, July, 2025

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes.

Chuyan Zhang, Kefan Wang, Yun Gu

CoRR, July, 2025

Dual Attention-Aided Cooperative Deep-Spatiotemporal-Feature-Extraction Network for Semi-Supervised Soft Sensing.

Xudong Shi, Qi Kang, MengChu Zhou, Hanqiu Bao, Jing An, Abdullah Abusorrah, Kefan Wang, Yusuf Al-Turki

IEEE Robotics Autom. Lett., March, 2025

A Universal Framework for Compressing Embeddings in CTR Prediction.

Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen

CoRR, February, 2025

Communication-Efficient Federated Learning With Dataset Condensation for Vision Tasks.

Jun Ma, Qi Kang, Kefan Wang, Ruijing Sun, MengChu Zhou

IEEE Internet Things J., 2025

Blind super-resolution for handheld ultrasound image: Two-stage degradation based unpaired deep learning.

Zhencun Jiang, Kangrui Ren, Kefan Wang, Zhongjie Wang

Comput. Methods Programs Biomed., 2025

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction.

Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud.

Aaron Zou, Wei Lu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Xiaojin Wang, Kangyu Liu, Kefan Wang, Renen Sun, Haiqing Wang

Proc. VLDB Endow., August, 2024

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation.

Yucong Luo, Qitao Qin, Hao Zhang, Mingyue Cheng, Ruiran Yan, Kefan Wang, Jie Ouyang

CoRR, 2024

Scaling New Frontiers: Insights into Large Recommendation Models.

Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen

CoRR, 2024

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation.

Hao Wang, Yongqiang Han, Kefan Wang, Kai Cheng, Zhen Wang, Wei Guo, Yong Liu, Defu Lian, Enhong Chen

CoRR, 2024

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.

Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen

CoRR, 2024

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.

Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen

Proceedings of the ACM on Web Conference 2024, 2024

An Improved Attention-based BiLSTM for PM2.5 Prediction in Air Environment.

Kezhu Wang, Jing An, Zijian Wang, Kefan Wang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2024

Single-Step and Multi-Step Prediction for Dissolved Oxygen of Huangpu River Based on Feature Engineering and the BiGRU-Attention-TCN Model.

Zijian Wang, Jing An, Kezhu Wang, Kefan Wang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2024

Sea Level Anomalies Prediction Via Two-Stage Spatiotemporal Transformer.

Shaoteng Fang, Yuehao Zhao, Kefan Wang, Chenyu Tian, Qi Kang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2024

2023

Lightweight and flexible hardware implementation of authenticated encryption algorithm SIMON-Galois/Counter Mode.

Xin Cheng, Yixuan Xu, Kefan Wang, Yongqiang Zhang, Bin Li, Zhang Zhang

Int. J. Circuit Theory Appl., December, 2023

Reduced-search guessing random additive noise decoding of polar codes.

Kefan Wang, Yuejun Wei, Zhenyuan Chen, Huarui Yin, Liping Li, Wenyi Zhang

Sci. China Inf. Sci., February, 2023

Minority-Weighted Graph Neural Network for Imbalanced Node Classification in Social Networks of Internet of People.

Kefan Wang, Jing An, Mengchu Zhou, Zhe Shi, Xudong Shi, Qi Kang

IEEE Internet Things J., 2023

OptScaler: A Hybrid Proactive-Reactive Framework for Robust Autoscaling in the Cloud.

Ding Zou, Wei Lu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Xiaojin Wang, Kangyu Liu, Haiqing Wang, Kefan Wang, Renen Sun

CoRR, 2023

2022

Evolving ensembles using multi-objective genetic programming for imbalanced classification.

Liang Zhang, Kefan Wang, Luyuan Xu, Wenjia Sheng, Qi Kang

Knowl. Based Syst., 2022

Attention virtual adversarial based semi-supervised question generation.

Jing An, Kefan Wang, Hui Sun, Can Cui, Wei Li, Chao Ma

Concurr. Comput. Pract. Exp., 2022

Effective-aggregation Graph Convolutional Network for Imbalanced Classification.

Kefan Wang, Jing An, Qi Kang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

A Kernel Propagation-Based Graph Convolutional Network Imbalanced Node Classification Model on Graph Data.

Xiang-En Bai, Jing An, Zi-Bo Yu, HanQiu Bao, Kefan Wang

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

2021

PSO-based optimal online operation strategy for multiple chillers energy conservation.

Jing An, Luyuan Xu, Zheng Fan, Kefan Wang, Qi Deng, Qi Kang

Int. J. Bio Inspired Comput., 2021

Dense short connection network for efficient image classification.

Zhenkun Yang, Xianghua Ma, Kefan Wang, Jing An

Concurr. Comput. Pract. Exp., 2021

Kernel local outlier factor-based fuzzy support vector machine for imbalanced classification.

Kefan Wang, Jing An, ZiBo Yu, Xingshu Yin, Chao Ma

Concurr. Comput. Pract. Exp., 2021

Imbalance Classification Based on Deep Learning and Fuzzy Support Vector Machine.

Kefan Wang, Jing An, Xianghua Ma, Chao Ma, Hanqiu Bao

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2021