no code implementations • 2 May 2023 • Jinlong Hu, Yangmin Huang, Nan Wang, Shoubin Dong
In this paper, we focused on pre-training methods with Transformer networks to leverage existing unlabeled data for brain functional network classification.
1 code implementation • 28 Mar 2023 • Jinlong Hu, Yangmin Huang, Shoubin Dong
In this paper, we proposed a novel Transformer and snowball encoding networks (TSEN) for brain functional network classification, which introduced Transformer architecture with graph snowball connection into GNNs for learning whole-graph representation.
no code implementations • 22 Jan 2022 • Kaiwen Tan, Weixian Huang, Xiaofeng Liu, Jinlong Hu, Shoubin Dong
By integrating these heterogeneous but complementary data, many multi-modal methods are proposed to study the complex mechanisms of cancers, and most of them achieve comparable or better results from previous single-modal methods.
no code implementations • 19 Oct 2021 • Zhenyuan Zhong, Jie Yang, Yacong Ma, Shoubin Dong, Jinlong Hu
The challenge of solving data mining problems in e-commerce applications such as recommendation system (RS) and click-through rate (CTR) prediction is how to make inferences by constructing combinatorial features from a large number of categorical features while preserving the interpretability of the method.
no code implementations • 13 Apr 2021 • Bin Liao, Jinlong Hu
The optical flow estimation has been assessed in various applications.
no code implementations • 2 Feb 2019 • Yijiang Lian, Zhijie Chen, Jinlong Hu, Kefeng Zhang, Chunwei Yan, Muchenxuan Tong, Wenying Han, Hanju Guan, Ying Li, Ying Cao, Yang Yu, Zhigang Li, Xiaochun Liu, Yue Wang
In this paper, we present a generative retrieval method for sponsored search engine, which uses neural machine translation (NMT) to generate keywords directly from query.
no code implementations • 10 Dec 2018 • Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant Honavar
We propose Top-N-Rank, a novel family of list-wise Learning-to-Rank models for reliably recommending the N top-ranked items.