Search Results for author: Chenhao Xie

Found 6 papers, 1 papers with code

Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning

no code implementations COLING 2022 Xuantao Lu, Jingping Liu, Zhouhong Gu, Hanwen Tong, Chenhao Xie, Junyang Huang, Yanghua Xiao, Wenguang Wang

In this paper, we propose a scoring model to automatically learn a model-based reward, and an effective training strategy based on curriculum learning is further proposed to stabilize the training process.

Natural Language Inference reinforcement-learning +2

I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization

no code implementations7 Mar 2022 Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li

In this paper we propose a novel hardware accelerator for GCN inference, called I-GCN, that significantly improves data locality and reduces unnecessary computation.

Rule Mining over Knowledge Graphs via Reinforcement Learning

no code implementations21 Feb 2022 Lihan Chen, Sihang Jiang, Jingping Liu, Chao Wang, Sheng Zhang, Chenhao Xie, Jiaqing Liang, Yanghua Xiao, Rui Song

Knowledge graphs (KGs) are an important source repository for a wide range of applications and rule mining from KGs recently attracts wide research interest in the KG-related research community.

Knowledge Graphs reinforcement-learning +1

Revisiting the Negative Data of Distantly Supervised Relation Extraction

1 code implementation ACL 2021 Chenhao Xie, Jiaqing Liang, Jingping Liu, Chengsong Huang, Wenhao Huang, Yanghua Xiao

Next, we formulate the problem of relation extraction into as a positive unlabeled learning task to alleviate false negative problem.

Relation Extraction

Collective Loss Function for Positive and Unlabeled Learning

no code implementations6 May 2020 Chenhao Xie, Qiao Cheng, Jiaqing Liang, Lihan Chen, Yanghua Xiao

On the contrary, traditional machine learning algorithms often rely on negative examples, otherwise the model would be prone to collapse and always-true predictions.

Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design

no code implementations7 Nov 2019 Xingyao Zhang, Shuaiwen Leon Song, Chenhao Xie, Jing Wang, Weigong Zhang, Xin Fu

In recent years, the CNNs have achieved great successes in the image processing tasks, e. g., image recognition and object detection.

Image Segmentation object-detection +2

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