Peitian Ma

According to our database, Peitian Ma authored at least 5 papers in 2023.

Collaborative distances:

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

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

Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference.

Junhao Zheng, Qianli Ma, Shengjie Qiu, Yue Wu, Peitian Ma, Junlong Liu, Huawen Feng, Xichen Shang, Haibin Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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