no code implementations • 23 Apr 2023 • Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
The two twin modules collaborate with each other by exchanging instance similarity knowledge to fully explore the structure information of both labeled and unlabeled data.
no code implementations • CVPR 2022 • Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng
Therefore, in this paper, we propose a Geometric anchor-guided Adversarial and conTrastive learning framework with uncErtainty modeling called GATE to alleviate these issues.
Ranked #5 on Universal Domain Adaptation on Office-Home
no code implementations • 13 Sep 2021 • Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma
Nowadays, E-commerce is increasingly integrated into our daily lives.
no code implementations • 7 Aug 2021 • Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Lingyu Duan
Therefore, backward-compatible representation is proposed to enable "new" features to be compared with "old" features directly, which means that the database is active when there are both "new" and "old" features in it.
1 code implementation • 2 Jun 2021 • Yuhang Guo, Xiao Luo, Liang Chen, Minghua Deng
Predicting DNA-protein binding is an important and classic problem in bioinformatics.
1 code implementation • 25 May 2021 • Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
Besides, CHCF integrates criterion learning and user preference learning into a unified framework, which can be trained jointly for the interaction prediction of the target behavior.
no code implementations • 13 May 2021 • Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng
Hashing has been widely used in approximate nearest neighbor search for its storage and computational efficiency.
1 code implementation • ICCV 2021 • Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua
On the other hand, a novel graph-based contrastive learning strategy is proposed to learn more compact clustering assignments.
no code implementations • 15 Oct 2020 • Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua
However, due to the inefficient representation ability of the pre-trained model, many false positives and negatives in local semantic similarity will be introduced and lead to error propagation during the hash code learning.
no code implementations • 4 Mar 2020 • Xiao Luo, Haixin Wang, Daqing Wu, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
Nearest neighbor search aims to obtain the samples in the database with the smallest distances from them to the queries, which is a basic task in a range of fields, including computer vision and data mining.
1 code implementation • 31 Aug 2018 • Haicang Zhang, Qi Zhang, Fusong Ju, Jianwei Zhu, Yujuan Gao, Ziwei Xie, Minghua Deng, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu
We further present successful application of the predicted contacts to accurately build tertiary structures for proteins in the PSICOV dataset.