Imbalance Classification Based on Deep Learning and Fuzzy Support Vector Machine. - Kefan Wang; Jing An 001; Xianghua Ma; Chao Ma; Hanqiu Bao 001 (BIC-TA (2), 2021)

Kernel local outlier factor-based fuzzy support vector machine for imbalanced classification. - Kefan Wang; Jing An 001; ZiBo Yu; Xingshu Yin; Chao Ma (Concurr. Comput. Pract. Exp., 2021)

Dense short connection network for efficient image classification. - Zhenkun Yang; Xianghua Ma; Kefan Wang; Jing An 001 (Concurr. Comput. Pract. Exp., 2021)

PSO-based optimal online operation strategy for multiple chillers energy conservation. - Jing An 001; Luyuan Xu; Zheng Fan; Kefan Wang; Qi Deng; Qi Kang (Int. J. Bio Inspired Comput., 2021)

A Kernel Propagation-Based Graph Convolutional Network Imbalanced Node Classification Model on Graph Data. - Xiang-En Bai; Jing An 001; Zi-Bo Yu; HanQiu Bao 001; Kefan Wang (ICNSC, 2022)

Effective-aggregation Graph Convolutional Network for Imbalanced Classification. - Kefan Wang; Jing An 001; Qi Kang (ICNSC, 2022)

Attention virtual adversarial based semi-supervised question generation. - Jing An 001; Kefan Wang; Hui Sun; Can Cui; Wei Li 046; Chao Ma (Concurr. Comput. Pract. Exp., 2022)

Evolving ensembles using multi-objective genetic programming for imbalanced classification. - Liang Zhang 034; Kefan Wang; Luyuan Xu; Wenjia Sheng; Qi Kang (Knowl. Based Syst., 2022)

OptScaler: A Hybrid Proactive-Reactive Framework for Robust Autoscaling in the Cloud. - Ding Zou; Wei Lu 030; Zhibo Zhu; Xingyu Lu; Jun Zhou; Xiaojin Wang; Kangyu Liu; Haiqing Wang; Kefan Wang; Renen Sun (CoRR, 2023)

Minority-Weighted Graph Neural Network for Imbalanced Node Classification in Social Networks of Internet of People. - Kefan Wang; Jing An 001; Mengchu Zhou; Zhe Shi; Xudong Shi 001; Qi Kang (IEEE Internet Things J., 2023)

Reduced-search guessing random additive noise decoding of polar codes. - Kefan Wang; Yuejun Wei; Zhenyuan Chen; Huarui Yin; Liping Li; Wenyi Zhang 001 (Sci. China Inf. Sci., 2023)

Lightweight and flexible hardware implementation of authenticated encryption algorithm SIMON-Galois/Counter Mode. - Xin Cheng 001; Yixuan Xu; Kefan Wang; Yongqiang Zhang 006; Bin Li; Zhang Zhang 004 (Int. J. Circuit Theory Appl., 2023)

Sea Level Anomalies Prediction Via Two-Stage Spatiotemporal Transformer. - Shaoteng Fang; Yuehao Zhao; Kefan Wang; Chenyu Tian; Qi Kang (ICNSC, 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 001; Kezhu Wang; Kefan Wang (ICNSC, 2024)

An Improved Attention-based BiLSTM for PM2.5 Prediction in Air Environment. - Kezhu Wang; Jing An 001; Zijian Wang; Kefan Wang (ICNSC, 2024)

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. - Yongqiang Han; Hao Wang 076; Kefan Wang; Likang Wu; Zhi Li 057; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (WWW, 2024)

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. - Yongqiang Han; Hao Wang 076; Kefan Wang; Likang Wu; Zhi Li 057; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2024)

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation. - Hao Wang 076; Yongqiang Han; Kefan Wang; Kai Cheng; Zhen Wang; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2024)

Scaling New Frontiers: Insights into Large Recommendation Models. - Wei Guo 006; Hao Wang 076; Luankang Zhang; Jin Yao Chin; Zhongzhou Liu; Kai Cheng; Qiushi Pan; Yi Quan Lee; Wanqi Xue; Tingjia Shen; Kenan Song; Kefan Wang; et al. (CoRR, 2024)

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation. - Yucong Luo; Qitao Qin; Hao Zhang 088; Mingyue Cheng; Ruiran Yan; Kefan Wang; Jie Ouyang (CoRR, 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., 2024)

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction. - Kefan Wang; Hao Wang 076; Wei Guo 006; Yong Liu 020; Jianghao Lin; Defu Lian; Enhong Chen (SIGIR, 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)

A Universal Framework for Compressing Embeddings in CTR Prediction. - Kefan Wang; Hao Wang 076; Kenan Song; Wei Guo 006; Kai Cheng; Zhi Li 057; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2025)

Dual Attention-Aided Cooperative Deep-Spatiotemporal-Feature-Extraction Network for Semi-Supervised Soft Sensing. - Xudong Shi 001; Qi Kang; MengChu Zhou; Hanqiu Bao 001; Jing An 001; Abdullah Abusorrah; Kefan Wang; Yusuf Al-Turki 001 (IEEE Robotics Autom. Lett., 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, 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, 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., 2025)