Search Results for author: Yifeng Liu

Found 6 papers, 3 papers with code

T-Rex: Text-assisted Retrosynthesis Prediction

1 code implementation26 Jan 2024 Yifeng Liu, Hanwen Xu, Tangqi Fang, Haocheng Xi, Zixuan Liu, Sheng Zhang, Hoifung Poon, Sheng Wang

As a fundamental task in computational chemistry, retrosynthesis prediction aims to identify a set of reactants to synthesize a target molecule.

Re-Ranking Retrosynthesis

UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction

1 code implementation16 Nov 2022 Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie

Relational triple extraction is challenging for its difficulty in capturing rich correlations between entities and relations.

Relation Extraction

The VolcTrans System for WMT22 Multilingual Machine Translation Task

no code implementations20 Oct 2022 Xian Qian, Kai Hu, Jiaqiang Wang, Yifeng Liu, Xingyuan Pan, Jun Cao, Mingxuan Wang

This report describes our VolcTrans system for the WMT22 shared task on large-scale multilingual machine translation.

Machine Translation Translation

Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition

no code implementations8 Dec 2021 Zhenxin Wu, Qingliang Chen, Yifeng Liu, Yinqi Zhang, Chengkai Zhu, Yang Yu

Finally, using the progressive training (P), the features extracted by the model in different stages can be fully utilized and fused with each other.

Fine-Grained Image Classification

Dilated Fully Convolutional Neural Network for Depth Estimation from a Single Image

no code implementations12 Mar 2021 Binghan Li, Yindong Hua, Yifeng Liu, Mi Lu

It also reduces the amount of parameters significantly by replacing the fully connected layers with the fully convolutional layers.

Depth Estimation Depth Prediction

Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification

1 code implementation IEEE Transactions on Geoscience and Remote Sensing 2021 Zhaohui Xue, Mengxue Zhang, Yifeng Liu, Peijun Du

On the other hand, the optimization of complex hyperparameters (e. g., the layer number and convolutional kernel size) is time-consuming and a very tough task, making the designed DL framework unexplainable.

 Ranked #1 on Hyperspectral Image Classification on Houston (using extra training data)

Classification Hyperspectral Image Classification +1

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