no code implementations • EMNLP (BlackboxNLP) 2021 • Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin
Fine-tuned pre-trained transformers achieve the state of the art in passage reranking.
1 code implementation • 25 Feb 2024 • Zhiying Jiang, Xingyuan Li, JinYuan Liu, Xin Fan, Risheng Liu
Given a pair of captured images, subtle perturbations and distortions which go unnoticed by the human visual system tend to attack the correspondence matching, impairing the performance of image stitching algorithms.
no code implementations • 31 Dec 2023 • Xingyuan Li, Yang Zou, JinYuan Liu, Zhiying Jiang, Long Ma, Xin Fan, Risheng Liu
With the rapid progression of deep learning technologies, multi-modality image fusion has become increasingly prevalent in object detection tasks.
no code implementations • 3 Sep 2023 • Xiaoke Shang, Gehui Li, Zhiying Jiang, Shaomin Zhang, Nai Ding, JinYuan Liu
The correction of exposure-related issues is a pivotal component in enhancing the quality of images, offering substantial implications for various computer vision tasks.
no code implementations • 2 Sep 2023 • Gehui Li, JinYuan Liu, Long Ma, Zhiying Jiang, Xin Fan, Risheng Liu
To overcome these limitations, we propose a Macro-Micro-Hierarchical transformer, which consists of a macro attention to capture long-range dependencies, a micro attention to extract local features, and a hierarchical structure for coarse-to-fine correction.
no code implementations • 14 Aug 2023 • Cynthia Huang, Yuqing Xie, Zhiying Jiang, Jimmy Lin, Ming Li
Leveraging the approximated information distance, our method allows the direct application of GPT models in quantitative text similarity measurements.
no code implementations • 2 Aug 2023 • Zengxi Zhang, Zhiying Jiang, JinYuan Liu, Xin Fan, Risheng Liu
Underwater images suffer from light refraction and absorption, which impairs visibility and interferes the subsequent applications.
no code implementations • 31 Jul 2023 • Zhiying Jiang, Zengxi Zhang, JinYuan Liu, Xin Fan, Risheng Liu
Multi-spectral image stitching leverages the complementarity between infrared and visible images to generate a robust and reliable wide field-of-view (FOV) scene.
no code implementations • 29 May 2023 • Zhiying Jiang, Risheng Liu, Shuzhou Yang, Zengxi Zhang, Xin Fan
Extensive experiments on synthetic benchmarks and real-world images demonstrate that the proposed RDMC delivers strong performance on the depiction of rain streaks and outperforms the state-of-the-art methods.
no code implementations • 12 Apr 2023 • Zhiying Jiang, Zengxi Zhang, JinYuan Liu, Xin Fan, Risheng Liu
Since the differences in viewing range, resolution and relative position, the multi-modality sensing module composed of infrared and visible cameras needs to be registered so as to have more accurate scene perception.
no code implementations • 3 Jan 2023 • Zhiying Jiang, Rui Wang, Dongbo Bu, Ming Li
We aim to bridge the gap between our common-sense few-sample human learning and large-data machine learning.
no code implementations • 19 Dec 2022 • Zhiying Jiang, Matthew Y. R. Yang, Mikhail Tsirlin, Raphael Tang, Jimmy Lin
Our method also performs particularly well in few-shot settings where labeled data are too scarce for DNNs to achieve a satisfying accuracy.
1 code implementation • 10 Oct 2022 • Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, Ferhan Ture
Large-scale diffusion neural networks represent a substantial milestone in text-to-image generation, but they remain poorly understood, lacking interpretability analyses.
no code implementations • 31 Jul 2022 • Ji Xin, Raphael Tang, Zhiying Jiang, YaoLiang Yu, Jimmy Lin
There exists a wide variety of efficiency methods for natural language processing (NLP) tasks, such as pruning, distillation, dynamic inference, quantization, etc.
no code implementations • 23 Jun 2022 • Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin
Most real-world problems that machine learning algorithms are expected to solve face the situation with 1) unknown data distribution; 2) little domain-specific knowledge; and 3) datasets with limited annotation.
1 code implementation • 25 Feb 2021 • Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin
In this work, we investigate if the surface form of a number has any influence on how sequence-to-sequence language models learn simple arithmetic tasks such as addition and subtraction across a wide range of values.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin
We show the effectiveness of our method in terms of attribution and the ability to provide insight into how information flows through layers.
2 code implementations • Findings of the Association for Computational Linguistics 2020 • Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin
We investigate this observation further by varying target words to probe the model's use of latent knowledge.
Ranked #1 on Ad-Hoc Information Retrieval on TREC Robust04
no code implementations • 23 Jan 2020 • Rodrigo Nogueira, Zhiying Jiang, Kyunghyun Cho, Jimmy Lin
Citation recommendation systems for the scientific literature, to help authors find papers that should be cited, have the potential to speed up discoveries and uncover new routes for scientific exploration.
2 code implementations • ACL 2019 • Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan
We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and constructing comprehensive background knowledge graphs (KGs); (2) creating new ideas by predicting links from the background KGs, by combining graph attention and contextual text attention; (3) incrementally writing some key elements of a new paper based on memory-attention networks: from the input title along with predicted related entities to generate a paper abstract, from the abstract to generate conclusion and future work, and finally from future work to generate a title for a follow-on paper.
1 code implementation • WS 2018 • Qingyun Wang, Xiaoman Pan, Lifu Huang, Boliang Zhang, Zhiying Jiang, Heng Ji, Kevin Knight
We aim to automatically generate natural language descriptions about an input structured knowledge base (KB).
1 code implementation • WS 2018 • Zhiying Jiang, Boliang Zhang, Lifu Huang, Heng Ji
We present a neural recommendation model for Chengyu, which is a special type of Chinese idiom.
no code implementations • 18 Nov 2017 • Risheng Liu, Xin Fan, Minjun Hou, Zhiying Jiang, Zhongxuan Luo, Lei Zhang
However, they may fail when their assumptions are not valid on specific images.