Search Results for author: Hongzhi Zhang

Found 19 papers, 11 papers with code

Table Fact Verification with Structure-Aware Transformer

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.

Fact Verification

Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models

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).

Question Answering Relation +2

MasterWeaver: Taming Editability and Identity for Personalized Text-to-Image Generation

1 code implementation9 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.

Text-to-Image Generation

Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations

2 code implementations3 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.

Optical Flow Estimation Reference-based Super-Resolution +1

Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model

no code implementations8 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.

Attribute Sequential Recommendation

FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning

no code implementations10 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.

Federated Learning In-Context Learning +1

RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution

1 code implementation30 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.


Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time

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.

Contrastive Learning Deblurring +2

PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models

no code implementations22 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).

Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation

no code implementations31 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.

Contrastive Learning

Robust Deep Ensemble Method for Real-world Image Denoising

1 code implementation8 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.

Deblurring Image Deblurring +4

On Steering Multi-Annotations per Sample for Multi-Task Learning

no code implementations6 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.

Instance Segmentation Multi-Task Learning +2

Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations

2 code implementations2 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.

Reference-based Super-Resolution Self-Supervised Learning

Crowd Counting via Perspective-Guided Fractional-Dilation Convolution

1 code implementation8 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.

Crowd Counting

Flexible Image Denoising with Multi-layer Conditional Feature Modulation

1 code implementation24 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.

Image Denoising

Multi-level Wavelet Convolutional Neural Networks

3 code implementations6 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.

Computational Efficiency Image Denoising +2

Multi-level Wavelet-CNN for Image Restoration

5 code implementations18 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.

Computational Efficiency Image Denoising +2

Metric Learning with Dynamically Generated Pairwise Constraints for Ear Recognition

no code implementations26 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.

Metric Learning

An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering

no code implementations30 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.

Knowledge Base Question Answering Relation +2

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