Search Results for author: Jiaxing Wang

Found 9 papers, 4 papers with code

LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System

no code implementations5 Feb 2024 Yan Zhao, Zhongyun Li, Yushan Pan, Jiaxing Wang, Yihong Wang

The natural language understanding capability has always been a barrier to the intent recognition performance of the Knowledge-Based-Question-and-Answer (KBQA) system, which arises from linguistic diversity and the newly appeared intent.

Intent Recognition Language Modelling +4

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy

1 code implementation16 Oct 2021 Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng

In light of this missing, we propose the very first framework that employs neural architecture search to automatic model design for private deep learning, dubbed as DPNAS.

Neural Architecture Search

Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices

1 code implementation15 Oct 2021 Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen yang, Ji Liu, Jian Cheng

In this paper, we present a unified framework with Joint Channel pruning and Weight pruning (JCW), and achieves a better Pareto-frontier between the latency and accuracy than previous model compression approaches.

Model Compression

Architecture Aware Latency Constrained Sparse Neural Networks

no code implementations1 Sep 2021 Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng

Acceleration of deep neural networks to meet a specific latency constraint is essential for their deployment on mobile devices.

Semi-supervised Learning with Contrastive Predicative Coding

no code implementations25 May 2019 Jiaxing Wang, Yin Zheng, Xiaoshuang Chen, Junzhou Huang, Jian Cheng

Semi-supervised learning (SSL) provides a powerful framework for leveraging unlabeled data when labels are limited or expensive to obtain.

RaFM: Rank-Aware Factorization Machines

1 code implementation18 May 2019 Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang

Factorization machines (FM) are a popular model class to learn pairwise interactions by a low-rank approximation.

General Classification

Adaptive Co-weighting Deep Convolutional Features For Object Retrieval

no code implementations20 Mar 2018 Jiaxing Wang, Jihua Zhu, Shanmin Pang, Zhongyu Li, Yaochen Li, Xueming Qian

Aggregating deep convolutional features into a global image vector has attracted sustained attention in image retrieval.

Image Retrieval Object +1

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