Zhen Liu

23 papers A* 9Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Unified Shape-Aware Foundation Model for Time Series Classification.
AAAI
Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma
2026 J jnl
A Unified Shape-Aware Foundation Model for Time Series Classification.
CoRR
Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma
2026 J jnl
CompleMatch: Boosting Time-Series Semi-Supervised Classification With Temporal-Frequency Complementarity.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhen Liu, Kun Zeng, Qianli Ma, James T. Kwok
2026 J jnl
Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting.
CoRR
Boyuan Li, Zhen Liu, Yicheng Luo, Qianli Ma
2025 A* conf
Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series.
ICML
Yicheng Luo, Bowen Zhang, Zhen Liu, Qianli Ma
2025 A* conf
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting.
ICML
Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma
2025 J jnl
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting.
CoRR
Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma
2025 A* conf
Learning Soft Sparse Shapes for Efficient Time-Series Classification.
ICML
Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma
2025 J jnl
Learning Soft Sparse Shapes for Efficient Time-Series Classification.
CoRR
Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma
2024 J jnl
A Survey on Time-Series Pre-Trained Models.
IEEE Trans. Knowl. Data Eng.
Qianli Ma, Zhen Liu, Zhenjing Zheng, Ziyang Huang, Siying Zhu, Zhongzhong Yu, James T. Kwok
2024 J jnl
Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer.
CoRR
Junhao Zheng, Qianli Ma, Zhen Liu, Binquan Wu, Huawen Feng
2024 A* conf
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification.
AAAI
Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma
2024 — conf
Incremental Sequence Labeling: A Tale of Two Shifts.
ACL (Findings)
Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma
2024 J jnl
Incremental Sequence Labeling: A Tale of Two Shifts.
CoRR
Shengjie Qiu, Junhao Zheng, Zhen Liu, Yicheng Luo, Qianli Ma
2024 A* conf
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series.
NeurIPS
Yicheng Luo, Zhen Liu, Linghao Wang, Binquan Wu, Junhao Zheng, Qianli Ma
2023 J jnl
A Survey on Time-Series Pre-Trained Models.
CoRR
Qianli Ma, Zhen Liu, Zhenjing Zheng, Ziyang Huang, Siying Zhu, Zhongzhong Yu, James T. Kwok
2023 A* conf
CTW: Confident Time-Warping for Time-Series Label-Noise Learning.
IJCAI
Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma
2023 J jnl
Category-aware optimal transport for incomplete data classification.
Inf. Sci.
Zhen Liu, ChuXin Chen, Qianli Ma
2023 J jnl
Meta-Stock: Task-Difficulty-Adaptive Meta-learning for Sub-new Stock Price Prediction.
CoRR
Linghao Wang, Zhen Liu, Peitian Ma, Qianli Ma
2023 A* conf
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels.
NeurIPS
Zhen Liu, Peitian Ma, Dongliang Chen, Wenbin Pei, Qianli Ma
2023 A* conf
Temporal-Frequency Co-training for Time Series Semi-supervised Learning.
AAAI
Zhen Liu, Qianli Ma, Peitian Ma, Linghao Wang
2020 J jnl
Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion.
Simul. Model. Pract. Theory
Min Huang, Zhen Liu, Yang Tao
2020 J jnl
Research on Mechanical Fault Prediction Method Based on Multifeature Fusion of Vibration Sensing Data.
Sensors
Min Huang, Zhen Liu