Zhen Liu

According to our database, Zhen Liu authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

A Survey on Time-Series Pre-Trained Models.

Qianli Ma, Zhen Liu, Zhenjing Zheng, Ziyang Huang, Siying Zhu, Zhongzhong Yu, James T. Kwok

IEEE Trans. Knowl. Data Eng., December, 2024

Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer.

Junhao Zheng, Qianli Ma, Zhen Liu, Binquan Wu, Huawen Feng

CoRR, 2024

Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series.

Yicheng Luo, Zhen Liu, Linghao Wang, Binquan Wu, Junhao Zheng, Qianli Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Incremental Sequence Labeling: A Tale of Two Shifts.

Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Diffusion Language-Shapelets for Semi-supervised Time-Series Classification.

Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Category-aware optimal transport for incomplete data classification.

Zhen Liu, Chuxin Chen, Qianli Ma

Inf. Sci., July, 2023

Meta-Stock: Task-Difficulty-Adaptive Meta-learning for Sub-new Stock Price Prediction.

Linghao Wang, Zhen Liu, Peitian Ma, Qianli Ma

CoRR, 2023

Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels.

Zhen Liu, Peitian Ma, Dongliang Chen, Wenbin Pei, Qianli Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CTW: Confident Time-Warping for Time-Series Label-Noise Learning.

Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Temporal-Frequency Co-training for Time Series Semi-supervised Learning.

Zhen Liu, Qianli Ma, Peitian Ma, Linghao Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020

Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion.

Min Huang, Zhen Liu, Yang Tao

Simul. Model. Pract. Theory, 2020

Research on Mechanical Fault Prediction Method Based on Multifeature Fusion of Vibration Sensing Data.

Min Huang, Zhen Liu

Sensors, 2020