Search Results for author: Zhe Hu

Found 24 papers, 5 papers with code

Enhanced Sentence Alignment Network for Efficient Short Text Matching

no code implementations EMNLP (WNUT) 2020 Zhe Hu, Zuohui Fu, Cheng Peng, Weiwei Wang

Cross-sentence attention has been widely applied in text matching, in which model learns the aligned information between two intermediate sequence representations to capture their semantic relationship.

Sentence Text Matching

SA-MDKIF: A Scalable and Adaptable Medical Domain Knowledge Injection Framework for Large Language Models

no code implementations1 Feb 2024 Tianhan Xu, Zhe Hu, Ling Chen, Bin Li

In the next stage, we train the skill router using task-specific downstream data and use this router to integrate the acquired skills with LLMs during inference.

AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction

no code implementations31 Oct 2023 Zhe Hu, Hou Pong Chan, Yu Yin

Argument generation is a challenging task in natural language processing, which requires rigorous reasoning and proper content organization.

Minimal-time Deadbeat Consensus and Individual Disagreement Degree Prediction for High-order Linear Multi-agent Systems

no code implementations13 Apr 2023 Fu-Long Hu, Hai-Tao Zhang, Bowen Xu, Zhe Hu, Wei Ren

Sufficient conditions are derived to guarantee both the minimal-time deadbeat consensus and the instant individual disagreement degree prediction.

Value prediction

PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation

no code implementations ACL 2022 Zhe Hu, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Hua Wu, Lifu Huang

Despite recent progress of pre-trained language models on generating fluent text, existing methods still suffer from incoherence problems in long-form text generation tasks that require proper content control and planning to form a coherent high-level logical flow.

Contrastive Learning Sentence +1

Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward

no code implementations14 Sep 2021 Zhe Hu, Zhiwei Cao, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Jinsong Su, Hua Wu

Controllable text generation is an appealing but challenging task, which allows users to specify particular attributes of the generated outputs.

Attribute Dialogue Generation +1

Context-Aware Interaction Network for Question Matching

no code implementations EMNLP 2021 Zhe Hu, Zuohui Fu, Yu Yin, Gerard de Melo

Impressive milestones have been achieved in text matching by adopting a cross-attention mechanism to capture pertinent semantic connections between two sentence representations.

Sentence Text Matching

Multi-Scale Boosted Dehazing Network with Dense Feature Fusion

1 code implementation CVPR 2020 Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang

To address the issue of preserving spatial information in the U-Net architecture, we design a dense feature fusion module using the back-projection feedback scheme.

Image Dehazing

Gated Fusion Network for Degraded Image Super Resolution

1 code implementation2 Mar 2020 Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang

To address this problem, we propose a dual-branch convolutional neural network to extract base features and recovered features separately.

Image Super-Resolution

An Entity-Driven Framework for Abstractive Summarization

no code implementations IJCNLP 2019 Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang

Human judges further rate our system summaries as more informative and coherent than those by popular summarization models.

Abstractive Text Summarization Document Summarization +1

Efficient Super Resolution Using Binarized Neural Network

no code implementations16 Dec 2018 Yinglan Ma, Hongyu Xiong, Zhe Hu, Lizhuang Ma

As a way to significantly reduce model size and computation time, binarized neural network has only been shown to excel on semantic-level tasks such as image classification and recognition.

Binarization Image Classification +3

Safe Navigation with Human Instructions in Complex Scenes

no code implementations12 Sep 2018 Zhe Hu, Jia Pan, Tingxiang Fan, Ruigang Yang, Dinesh Manocha

In this paper, we present a robotic navigation algorithm with natural language interfaces, which enables a robot to safely walk through a changing environment with moving persons by following human instructions such as "go to the restaurant and keep away from people".

Collision Avoidance Motion Planning +2

Gated Fusion Network for Joint Image Deblurring and Super-Resolution

2 code implementations27 Jul 2018 Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang

Single-image super-resolution is a fundamental task for vision applications to enhance the image quality with respect to spatial resolution.

Computational Efficiency Deblurring +2

Learning to Deblur Images with Exemplars

no code implementations15 May 2018 Jinshan Pan, Wenqi Ren, Zhe Hu, Ming-Hsuan Yang

However, existing methods are less effective as only few edges can be restored from blurry face images for kernel estimation.

Deblurring Image Deblurring

Multi-Scale Video Frame-Synthesis Network with Transitive Consistency Loss

no code implementations7 Dec 2017 Zhe Hu, Yinglan Ma, Lizhuang Ma

Traditional approaches to interpolate/extrapolate frames in a video sequence require accurate pixel correspondences between images, e. g., using optical flow.

Optical Flow Estimation

A Comparative Study for Single Image Blind Deblurring

no code implementations CVPR 2016 Wei-Sheng Lai, Jia-Bin Huang, Zhe Hu, Narendra Ahuja, Ming-Hsuan Yang

Using these datasets, we conduct a large-scale user study to quantify the performance of several representative state-of-the-art blind deblurring algorithms.

Single-Image Blind Deblurring

Image Deblurring Using Smartphone Inertial Sensors

no code implementations CVPR 2016 Zhe Hu, Lu Yuan, Stephen Lin, Ming-Hsuan Yang

Removing image blur caused by camera shake is an ill-posed problem, as both the latent image and the point spread function (PSF) are unknown.

Deblurring Image Deblurring

Joint Depth Estimation and Camera Shake Removal from Single Blurry Image

no code implementations CVPR 2014 Zhe Hu, Li Xu, Ming-Hsuan Yang

The non-uniform blur effect is not only caused by the camera motion, but also the depth variation of the scene.

Deblurring Depth Estimation +1

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