Search Results for author: Hongzhi Liu

Found 8 papers, 5 papers with code

Spiral Generative Network for Image Extrapolation

1 code implementation ECCV 2020 Dongsheng Guo, Hongzhi Liu, Haoru Zhao, Yunhao Cheng, Qingwei Song, Zhaorui Gu, Haiyong Zheng, Bing Zheng

In this paper, motivated by human natural ability to perceive unseen surroundings imaginatively, we propose a novel Spiral Generative Network, SpiralNet, to perform image extrapolation in a spiral manner, which regards extrapolation as an evolution process growing from an input sub-image along a spiral curve to an expanded full image.

AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications

1 code implementation COLING 2022 Yusen Zhang, Zhongli Li, Qingyu Zhou, Ziyi Liu, Chao Li, Mina Ma, Yunbo Cao, Hongzhi Liu

To automatically correct handwritten assignments, the traditional approach is to use an OCR model to recognize characters and compare them to answers.

Optical Character Recognition (OCR)

Relation-Aware Neighborhood Matching Model for Entity Alignment

1 code implementation15 Dec 2020 Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du

Besides comparing neighbor nodes when matching neighborhood, we also try to explore useful information from the connected relations.

Entity Alignment Knowledge Graphs

LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning

no code implementations27 Apr 2020 Kaitao Song, Hao Sun, Xu Tan, Tao Qin, Jianfeng Lu, Hongzhi Liu, Tie-Yan Liu

While pre-training and fine-tuning, e. g., BERT~\citep{devlin2018bert}, GPT-2~\citep{radford2019language}, have achieved great success in language understanding and generation tasks, the pre-trained models are usually too big for online deployment in terms of both memory cost and inference speed, which hinders them from practical online usage.

Knowledge Distillation Language Modelling

Data-Anonymous Encoding for Text-to-SQL Generation

no code implementations IJCNLP 2019 Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang

On text-to-SQL generation, the input utterance usually contains lots of tokens that are related to column names or cells in the table, called \textit{table-related tokens}.


Representation Learning with Ordered Relation Paths for Knowledge Graph Completion

1 code implementation IJCNLP 2019 Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang song, Tao Zhang

Recently, a few methods take relation paths into consideration but pay less attention to the order of relations in paths which is important for reasoning.

Ranked #3 on Link Prediction on FB15k (MR metric)

Link Prediction Representation Learning

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