Temporal-Frequency Co-training for Time Series Semi-supervised Learning. - Zhen Liu 023; Qianli Ma 001; Peitian Ma; Linghao Wang (AAAI, 2023)

Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference. - Junhao Zheng; Qianli Ma 001; Shengjie Qiu; Yue Wu; Peitian Ma; Junlong Liu; Huawen Feng; Xichen Shang; Haibin Chen (ACL (1), 2023)

CTW: Confident Time-Warping for Time-Series Label-Noise Learning. - Peitian Ma; Zhen Liu 023; Junhao Zheng; Linghao Wang; Qianli Ma 001 (IJCAI, 2023)

Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels. - Zhen Liu 023; Peitian Ma; Dongliang Chen; Wenbin Pei; Qianli Ma 001 (NeurIPS, 2023)

Meta-Stock: Task-Difficulty-Adaptive Meta-learning for Sub-new Stock Price Prediction. - Linghao Wang; Zhen Liu 023; Peitian Ma; Qianli Ma 001 (CoRR, 2023)