no code implementations • EMNLP 2020 • Hongzhi Zhang, Yingyao Wang, Sirui Wang, Xuezhi Cao, Fuzheng Zhang, Zhongyuan Wang
Verifying fact on semi-structured evidence like tables requires the ability to encode structural information and perform symbolic reasoning.
1 code implementation • EMNLP 2021 • Yuanmeng Yan, Rumei Li, Sirui Wang, Hongzhi Zhang, Zan Daoguang, Fuzheng Zhang, Wei Wu, Weiran Xu
The key challenge of question answering over knowledge bases (KBQA) is the inconsistency between the natural language questions and the reasoning paths in the knowledge base (KB).
1 code implementation • 9 May 2024 • Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hongzhi Zhang, Lei Zhang, WangMeng Zuo
In this work, we present MasterWeaver, a test-time tuning-free method designed to generate personalized images with both faithful identity fidelity and flexible editability.
2 code implementations • 3 May 2024 • Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, WangMeng Zuo
In addition, we further take multiple zoomed observations to explore self-supervised RefSR, and present a progressive fusion scheme for the effective utilization of reference images.
no code implementations • 8 Apr 2024 • Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang
The sequential recommendation task aims to predict the item that user is interested in according to his/her historical action sequence.
no code implementations • 10 Mar 2024 • Zhuo Zhang, Jingyuan Zhang, Jintao Huang, Lizhen Qu, Hongzhi Zhang, Zenglin Xu
Extensive experiments on real-world medical data demonstrate the effectiveness of FedPIT in improving federated few-shot performance while preserving privacy and robustness against data heterogeneity.
1 code implementation • 30 Jun 2023 • Renlong Wu, Zhilu Zhang, Shuohao Zhang, Hongzhi Zhang, WangMeng Zuo
The main challenge of BurstSR is to effectively combine the complementary information from input frames, while existing methods still struggle with it.
2 code implementations • CVPR 2023 • Wei Shang, Dongwei Ren, Yi Yang, Hongzhi Zhang, Kede Ma, WangMeng Zuo
Moreover, on the seemingly implausible x16 interpolation task, our method outperforms existing methods by more than 1. 5 dB in terms of PSNR.
no code implementations • 22 Oct 2022 • Yupeng Zhang, Hongzhi Zhang, Sirui Wang, Wei Wu, Zhoujun Li
A wide range of NLP tasks benefit from the fine-tuning of pretrained language models (PLMs).
no code implementations • 31 Aug 2022 • Sirui Wang, Kaiwen Wei, Hongzhi Zhang, Yuntao Li, Wei Wu
Inspired by the human learning process, in this paper, we introduce Imitation DEMOnstration Learning (Imitation-Demo) to strengthen demonstration learning via explicitly imitating human review behaviour, which includes: (1) contrastive learning mechanism to concentrate on the similar demonstrations.
1 code implementation • 8 Jun 2022 • Pengju Liu, Hongzhi Zhang, Jinghui Wang, Yuzhi Wang, Dongwei Ren, WangMeng Zuo
In particular, we take well-trained CBDNet, NBNet, HINet, Uformer and GMSNet into denoiser pool, and a U-Net is adopted to predict pixel-wise weighting maps to fuse these denoisers.
no code implementations • 6 Mar 2022 • Yuanze Li, Yiwen Guo, Qizhang Li, Hongzhi Zhang, WangMeng Zuo
Despite the remarkable progress, the challenge of optimally learning different tasks simultaneously remains to be explored.
2 code implementations • 2 Mar 2022 • Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, Yunjin Chen, WangMeng Zuo
For this purpose, we take the telephoto image instead of an additional high-resolution image as the supervision information and select a center patch from it as the reference to super-resolve the corresponding short-focus image patch.
1 code implementation • 8 Jul 2021 • Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, WangMeng Zuo
One of the main issues in this task is how to handle the dramatic scale variations of pedestrians caused by the perspective effect.
1 code implementation • 24 Jun 2020 • Jiazhi Du, Xin Qiao, Zifei Yan, Hongzhi Zhang, WangMeng Zuo
For flexible non-blind image denoising, existing deep networks usually take both noisy image and noise level map as the input to handle various noise levels with a single model.
3 code implementations • 6 Jul 2019 • Pengju Liu, Hongzhi Zhang, Wei Lian, WangMeng Zuo
Specifically, MWCNN for image restoration is based on U-Net architecture, and inverse wavelet transform (IWT) is deployed to reconstruct the high resolution (HR) feature maps.
5 code implementations • 18 May 2018 • Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, WangMeng Zuo
With the modified U-Net architecture, wavelet transform is introduced to reduce the size of feature maps in the contracting subnetwork.
Ranked #2 on Grayscale Image Denoising on Set12 sigma25
no code implementations • 26 Mar 2018 • Ibrahim Omara, Hongzhi Zhang, Faqiang Wang, WangMeng Zuo
Ear recognition task is known as predicting whether two ear images belong to the same person or not.
no code implementations • 30 Jan 2018 • Hongzhi Zhang, Guandong Xu, Xiao Liang, Tinglei Huang, Kun fu
Then, instead of merging the sequence into a single vector with pooling operation, soft alignments between words from the question and the relation are learned.