Publications

Conference Papers

[C4] Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma. Diffusion Language-Shapelets for Semi-supervised Time-Series Classification. AAAI, 2024. (CCF A) Paper Link, Code.

[C3] Zhen Liu, Peitian Ma, Dongliang Chen, Wenbin Pei, Qianli Ma. Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels. NeurIPS, 2023. (CCF A) Paper Link, Code.

[C2] Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma. CTW: Confident Time-Warping for Time-Series Label-Noise Learning. IJCAI, 2023. (CCF A) Paper Link, Code.

[C1] Zhen Liu, Qianli Ma, Peitian Ma, Linghao Wang. Temporal-frequency co-training for time series semi-supervised learning. AAAI, 2023. (CCF A) Paper Link, Code.

Journal Papers

[J3] Zhen Liu, Chuxin Chen, Qianli Ma. Category-aware optimal transport for incomplete data classification. Information Sciences, 2023. (JCR Q1, CCF B, IF: 8.1) Paper Link.

[J2] Min Huang, Zhen Liu (Student first author), Yang Tao. Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion. Simulation Modelling Practice and Theory, 2020. (JCR Q1, CCF C, IF: 4.2) Paper Link.

[J1] Min Huang, Zhen Liu (Student first author). Research on mechanical fault prediction method based on multifeature fusion of vibration sensing data. Sensors, 2019. (JCR Q2, IF: 3.9) Paper Link.

arXiv Papers

[A3] Junhao Zheng, Qianli Ma, Zhen Liu, Binquan Wu, Huawen Feng. Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer. arXiv, Jan, 2024. Paper Link.

[A2] Linghao Wang, Zhen Liu, Peitian Ma, Qianli Ma. Meta-Stock: Task-Difficulty-Adaptive Meta-learning for Sub-new Stock Price Prediction. arXiv, Aug, 2023. Paper Link.

[A1] Qianli Ma, Zhen Liu (Student first author), Zhenjing Zheng, Ziyang Huang, Siying Zhu, Zhongzhong Yu, James T Kwok. A Survey on Time-Series Pre-Trained Models. arXiv, May, 2023. (Under review in IEEE Transactions on Knowledge and Data Engineering) Paper Link, Code.