Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Page not in menu
This is a page not in th emain menu
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
ICIC2018： Multi-Scale DenseNet-Based Electricity Theft Detection
Published in 2018 Fourteenth International Conference on Intelligent Computing (ICIC2018), 2018
Brief Introduction : This paper is about electricity theft detection based on Multi-scale DenseNet and accepted by ICIC2018. In this paper, we present a novel approach for automatic detection by using a multi-scale dense connected convolution neural network (multi-scale DenseNet) in order to capture the long-term and short-term periodic features within the sequential data.
Authors : Bo Li, Kele Xu, Xiaoyan Cui, Yiheng Wang, Xinbo Ai, Yanbo Wang
Place : Wuhan‚ China
Date : August 15th-18th, 2018
ICASSP2019： Denoising Convolutional Autoencoder Based B-Mode Ultrasound Tongue Image Feature Extraction
Published in Proceedings of the 2019 IEEE International Conference on Acoustics‚ Speech and Signal Processing (ICASSP2019), 2019
Brief Introduction : This paper is about feature extraction in the ultrasound tongue image and accepted by ICASSP2019. In this paper, we explore unsupervised convolutional network architecture for the feature extraction in the ultrasound tongue image which can be helpful for the clinical linguist and phonetics.
Authors : Bo Li, Kele Xu, Dawei Feng, Haibo Mi, Huaimin Wang, Jian Zhu
Place : Brighton‚ UK
Date : May 12th−17th, 2019
ICASSP2019： Long Text Analysis Using Sliced Recurrent Neural Networks With Breaking Point Information Enrichment
Published in Proceedings of the 2019 IEEE International Conference on Acoustics‚ Speech and Signal Processing (ICASSP2019), 2019
Brief Introduction : This paper is about long text classification problem and accepted by ICASSP2019. In this paper, based on SRNN, we propose a breaking point information enrichment mechanism to strengthen dependencies between sliced subsequences without hindering parallelization.
Authors : Bo Li^‚ Zehua Cheng^‚ Zhenghua Xu‚ Wei Ye‚ Thomas Lukasiewicz and Shikun Zhang. (^indicates co-first author)
Place : Brighton‚ UK
Date : May 12th−17th, 2019
ACL2019： Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
Published in The 57th Annual Meeting of the Association for Computational Linguistics (ACL2019), 2019
Brief Introduction : This paper is about Relation Extraction and Relation Identification and accepted by ACL2019. In this paper, we use tag embeddings and improved multi-task learning to obtain the state-of-the-art performances on ACE2005 Chinese and English corpus.
Authors : Wei Ye^, Bo Li^, Rui Xie, Zhonghao Sheng, Long Chen and Shikun Zhang. (^indicates co-first author)
Place : Florence, Italy
Date : July 28th to August 2nd, 2019
FML-19： Multi-task Learning for Vertical Federated Machine Learning: A Case Study For Cross-Lingual Short-Text Matching
Published in The 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML-19) in conjunction with the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019
Brief Introduction : This paper is about vertical federated machine learning on cross-lingual short-text matching and accepted by FML-19(a workshop in IJCAI-19). In this paper, we propose a vertical federated learning framework using multi-task learning.
Authors : Bo Li, Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang and Yanbo J. Wang
Place : Macau‚ China
Date : Aug 12th, 2019
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Experience 1
Training Course About Data Science and Data Mining, Industrial and Commercial Bank of China, 2019
Breaf Introduction: Training Course for Industrial and Commercial Bank of China (ICBC) about Data Science and Data Mining for 3 days.