Taizhi Wang - RankMe

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Dual Imbalanced Classification Framework With Feature Transfer Guided by Memory Compensation Strategy. IEEE Trans. Knowl. Data Eng. Qiangwei Li, Xin Gao, Baofeng Li, Feng Zhai, Taizhi Wang, Zhihang Meng, Yu Hao, Bing Xue
2026	J	`jnl`	A dual-path fusion network with reconstruction and discrimination for zero-shot multivariate time series anomaly detection. Neurocomputing Taizhi Wang, Xin Gao, Xinping Diao, Yuan Li, Haibo Yu, Yukun Lin, Huiting Xu, Yinglan Liu
2026	J	`jnl`	An imbalanced classification framework with serialized neighbor samples commonality extraction and conditional variational latent space optimization. Inf. Process. Manag. Qiangwei Li, Xin Gao, Yuan Li, Xinping Diao, Tianyang Chen, Yukun Lin, Taizhi Wang, Yu Hao
2026	J	`jnl`	Memory-guided mask reconstruction with central contrastive learning for robust multivariate time series anomaly detection. Neural Networks Le He, Xin Gao, Xinping Diao, Yuan Li, Chengming Tian, Yukun Lin, Bing Xue, Taizhi Wang
2025	J	`jnl`	A Generalized Few-Shot Object Detection Method via Extraction of Base-Novel Commonality With Memory Distillation of Category Prototypes. IEEE Trans. Circuits Syst. Video Technol. Junchi Su, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Xiao Fang, Taizhi Wang, Qiangwei Li
2025	J	`jnl`	A dual-reconstruction self-rectification framework with momentum memory-augmented network for multivariate time series anomaly detection. Appl. Soft Comput. Bing Xue, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Meng Xu, Taizhi Wang, Jiawen Lu
2025	J	`jnl`	A feature matching-based method for few-shot multivariate time series anomaly detection with symmetric patch mask Siam Transformer. Eng. Appl. Artif. Intell. Jiahao Yu, Xin Gao, Taizhi Wang, Heping Lu, Baofeng Li, Feng Zhai, Bing Xue, Zhihang Meng
2025	J	`jnl`	A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index. Neural Networks Qiangwei Li, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Taizhi Wang, Zhihang Meng, Yu Hao
2025	J	`jnl`	A multimodal data generation method for imbalanced classification with dual-discriminator constrained diffusion model and adaptive sample selection strategy. Inf. Fusion Qiangwei Li, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Taizhi Wang, Zhihang Meng, Yu Hao
2025	J	`jnl`	A multivariate time series anomaly detection method with Multi-Grain Dynamic Receptive Field. Knowl. Based Syst. Lingli Chen, Xin Gao, Jing Liu, Yunkai Zhang, Xinping Diao, Taizhi Wang, Jiawen Lu, Zhihang Meng
2025	J	`jnl`	Imputed-reconstruction diffusion models with negative exponential noise schedule for multivariate time series anomaly detection. Pattern Anal. Appl. Lingli Chen, Xin Gao, Heping Lu, Baofeng Li, Meng Xu, Yun Feng, Bing Xue, Taizhi Wang
2025	J	`jnl`	Multivariate time series anomaly detection with heterogeneous-aware channel independence and global-local channel dependence. Knowl. Based Syst. Lingli Chen, Xin Gao, Haibo Yu, Yuan Li, Xinping Diao, Yukun Lin, Taizhi Wang, Le He