no code implementations • 26 Nov 2024 • Chengyou Jia, Changliang Xia, Zhuohang Dang, Weijia Wu, Hangwei Qian, Minnan Luo
Despite the significant advancements in text-to-image (T2I) generative models, users often face a trial-and-error challenge in practical scenarios.
1 code implementation • 28 May 2024 • Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor Tsang, Xiangliang Zhang
Graph Prompt Learning (GPL) bridges significant disparities between pretraining and downstream applications to alleviate the knowledge transfer bottleneck in real-world graph learning.
no code implementations • 19 Dec 2023 • Chenyu Sun, Hangwei Qian, Chunyan Miao
Offline reinforcement learning (RL) aims to learn an effective policy from a pre-collected dataset.
1 code implementation • 9 Sep 2023 • Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao
Existing methods fail to exploit flexibility and address the concerns of non-robustness simultaneously.
1 code implementation • 3 Aug 2023 • Qianwen Meng, Hangwei Qian, Yong liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
However, there is a lack of systematic analysis of unsupervised representation learning approaches for time series.
1 code implementation • 2 Dec 2022 • Qianwen Meng, Hangwei Qian, Yong liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen
Learning semantic-rich representations from raw unlabeled time series data is critical for downstream tasks such as classification and forecasting.
no code implementations • 13 May 2022 • Yongjie Wang, Hangwei Qian, Chunyan Miao
We then propose DualCF strategy to circumvent the above issues, which is achieved by taking not only CF but also counterfactual explanation of CF (CCF) as pairs of training samples for the substitute model.
1 code implementation • 2 May 2022 • Chenyu Sun, Hangwei Qian, Chunyan Miao
As a result, the agent can focus on more informative samples and learn representation invariances more efficiently, with significantly reduced augmented inputs.
1 code implementation • 12 Feb 2022 • Hangwei Qian, Tian Tian, Chunyan Miao
Self-supervised learning establishes a new paradigm of learning representations with much fewer or even no label annotations.
no code implementations • 20 Jan 2022 • Chenyu Sun, Hangwei Qian, Chunyan Miao
Psychological curiosity plays a significant role in human intelligence to enhance learning through exploration and information acquisition.