Taizhi Wang

According to our database, Taizhi Wang authored at least 12 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

A Dual Imbalanced Classification Framework With Feature Transfer Guided by Memory Compensation Strategy.

Qiangwei Li, Xin Gao, Baofeng Li, Feng Zhai, Taizhi Wang, Zhihang Meng, Yu Hao, Bing Xue

IEEE Trans. Knowl. Data Eng., May, 2026

Memory-guided mask reconstruction with central contrastive learning for robust multivariate time series anomaly detection.

Le He, Xin Gao, Xinping Diao, Yuan Li, Chengming Tian, Yukun Lin, Bing Xue, Taizhi Wang

Neural Networks, 2026

An imbalanced classification framework with serialized neighbor samples commonality extraction and conditional variational latent space optimization.

Qiangwei Li, Xin Gao, Yuan Li, Xinping Diao, Tianyang Chen, Yukun Lin, Taizhi Wang, Yu Hao

Inf. Process. Manag., 2026

A dual-path fusion network with reconstruction and discrimination for zero-shot multivariate time series anomaly detection.

Taizhi Wang, Xin Gao, Xinping Diao, Yuan Li, Haibo Yu, Yukun Lin, Huiting Xu, Yinglan Liu

Neurocomputing, 2026

2025

Imputed-reconstruction diffusion models with negative exponential noise schedule for multivariate time series anomaly detection.

Lingli Chen, Xin Gao, Heping Lu, Baofeng Li, Meng Xu, Yun Feng, Bing Xue, Taizhi Wang

Pattern Anal. Appl., December, 2025

A Generalized Few-Shot Object Detection Method via Extraction of Base-Novel Commonality With Memory Distillation of Category Prototypes.

Junchi Su, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Xiao Fang, Taizhi Wang, Qiangwei Li

IEEE Trans. Circuits Syst. Video Technol., July, 2025

A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index.

Qiangwei Li, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Taizhi Wang, Zhihang Meng, Yu Hao

Neural Networks, 2025

Multivariate time series anomaly detection with heterogeneous-aware channel independence and global-local channel dependence.

Lingli Chen, Xin Gao, Haibo Yu, Yuan Li, Xinping Diao, Yukun Lin, Taizhi Wang, Le He

Knowl. Based Syst., 2025

A multivariate time series anomaly detection method with Multi-Grain Dynamic Receptive Field.

Lingli Chen, Xin Gao, Jing Liu, Yunkai Zhang, Xinping Diao, Taizhi Wang, Jiawen Lu, Zhihang Meng

Knowl. Based Syst., 2025

A multimodal data generation method for imbalanced classification with dual-discriminator constrained diffusion model and adaptive sample selection strategy.

Qiangwei Li, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Taizhi Wang, Zhihang Meng, Yu Hao

Inf. Fusion, 2025

A feature matching-based method for few-shot multivariate time series anomaly detection with symmetric patch mask Siam Transformer.

Jiahao Yu, Xin Gao, Taizhi Wang, Heping Lu, Baofeng Li, Feng Zhai, Bing Xue, Zhihang Meng

Eng. Appl. Artif. Intell., 2025

A dual-reconstruction self-rectification framework with momentum memory-augmented network for multivariate time series anomaly detection.

Bing Xue, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Meng Xu, Taizhi Wang, Jiawen Lu

Appl. Soft Comput., 2025