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Peitian Ma
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2020 – today
- 2023
- [c4]Zhen Liu
, Qianli Ma, Peitian Ma, Linghao Wang:
Temporal-Frequency Co-training for Time Series Semi-supervised Learning. AAAI 2023: 8923-8931 - [c3]Junhao Zheng
, Qianli Ma, Shengjie Qiu, Yue Wu, Peitian Ma, Junlong Liu, Huawen Feng, Xichen Shang, Haibin Chen:
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference. ACL (1) 2023: 9155-9173 - [c2]Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma:
CTW: Confident Time-Warping for Time-Series Label-Noise Learning. IJCAI 2023: 4046-4054 - [c1]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 - [i2]Junhao Zheng, Qianli Ma, Shengjie Qiu, Yue Wu, Peitian Ma, Junlong Liu, Huawen Feng, Xichen Shang, Haibin Chen:
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference. CoRR abs/2306.10790 (2023) - [i1]Linghao Wang, Zhen Liu, Peitian Ma, Qianli Ma:
Meta-Stock: Task-Difficulty-Adaptive Meta-learning for Sub-new Stock Price Prediction. CoRR abs/2308.11117 (2023)
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