Kafeng Wang - RankMe

20 papers A* 3A 2Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive multi-modal temporal fusion network with dynamic synergistic integration for breast cancer survival prediction. Biomed. Signal Process. Control. Haoyu Xue, Hongzhen Xu, Kafeng Wang
2026	J	`jnl`	Dummy-Aware Weighted Attack (DAWA): Breaking the Safe Sink in Dummy Class Defenses. CoRR Yunrui Yu, Xuxiang Feng, Pengda Qin, Pengyang Wang, Kafeng Wang, Cheng-Zhong Xu, Hang Su, Jun Zhu
2026	J	`jnl`	Knowledge graph enhanced recommendation via context-aware dynamic relation perception and dual-view hierarchical contrastive learning. Expert Syst. Appl. Quanchang Ye, Hongzhen Xu, Chao Wang, Bao Zhang, Pengyang Wang, Chen Liu, Kafeng Wang
2025	J	`jnl`	Animalbooth: multimodal feature enhancement for animal subject personalization. CoRR Chen Liu, Haitao Wu, Kafeng Wang, Xiaowang Zhang
2025	J	`jnl`	Contour-Enhanced Visual State-Space Model for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Liyue Yan, Xing Zhang, Kafeng Wang, Dejin Zhang
2025	J	`jnl`	DisCo3D: Distilling Multi-View Consistency for 3D Scene Editing. CoRR Yufeng Chi, Huimin Ma, Kafeng Wang, Jianmin Li
2025	J	`jnl`	Heterogeneous information-based self-supervised graph learning for recommendation. J. Supercomput. Bao Zhang, Hongzhen Xu, Ruijun Shuang, Kafeng Wang
2025	J	`jnl`	Image Segmentation Refinement Based on Region Expansion and Minor Contour Adjustments. IET Image Process. Liyue Yan, Xing Zhang, Kafeng Wang, Siting Xiong, De-jin Zhang
2025	J	`jnl`	RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function. CoRR Yunrui Yu, Kafeng Wang, Hang Su, Jun Zhu
2025	A	`conf`	SparseDM: Toward Sparse Efficient Diffusion Models. ICME Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu
2024	J	`jnl`	SparseDM: Toward Sparse Efficient Diffusion Models. CoRR Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu
2023	A*	`conf`	Toward Efficient Automated Feature Engineering. ICDE Kafeng Wang, Pengyang Wang, Chengzhong Xu
2022	A	`conf`	Learning Moving-Object Tracking with FMCW LiDAR. IROS Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong
2022	J	`jnl`	Learning Moving-Object Tracking with FMCW LiDAR. CoRR Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong
2022	J	`jnl`	Toward Efficient Automated Feature Engineering. CoRR Kafeng Wang, Pengyang Wang, Chengzhong Xu
2021	J	`jnl`	Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. ACM Trans. Knowl. Discov. Data Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou
2021	J	`jnl`	SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing. IEEE Internet Things J. Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu
2021	J	`jnl`	SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing. CoRR Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu
2020	A*	`conf`	Pay Attention to Features, Transfer Learn Faster CNNs. ICLR Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu
2019	A*	`conf`	SpHMC: Spectral Hamiltonian Monte Carlo. AAAI Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan