no code implementations • EMNLP 2020 • Haopeng Zhang, Jiawei Zhang
Text classification is a fundamental problem in natural language processing.
no code implementations • 19 Feb 2024 • Zizhong Li, Haopeng Zhang, Jiawei Zhang
Retrieval-augmented generation framework can address the limitations of large language models by enabling real-time knowledge updates for more accurate answers.
no code implementations • 19 Dec 2023 • Zizhong Li, Haopeng Zhang, Jiawei Zhang
The proliferation of fake news has emerged as a critical issue in recent years, requiring significant efforts to detect it.
1 code implementation • 21 Sep 2023 • Haopeng Zhang, Zijing Lin, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li
In this letter, we explore Transformer-like architecture for SAR change detection to incorporate global attention.
1 code implementation • 20 Sep 2023 • Haopeng Zhang, Hayate Iso, Sairam Gurajada, Nikita Bhutani
Text editing is a crucial task of modifying text to better align with user intents.
no code implementations • 8 Sep 2023 • Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu
SRI balances the importance and diversity of a subset of sentences from the source documents and can be calculated in unsupervised and adaptive manners.
no code implementations • 31 May 2023 • Haopeng Zhang, Xiao Liu, Jiawei Zhang
The extended structural context has made scientific paper summarization a challenging task.
1 code implementation • 24 May 2023 • Haopeng Zhang, Xiao Liu, Jiawei Zhang
Text summarization systems have made significant progress in recent years, but typically generate summaries in one single step.
1 code implementation • 2 May 2023 • Haopeng Zhang, Xiao Liu, Jiawei Zhang
This paper proposes DiffuSum, a novel paradigm for extractive summarization, by directly generating the desired summary sentence representations with diffusion models and extracting sentences based on sentence representation matching.
no code implementations • 9 Apr 2023 • Haopeng Zhang, Xiao Liu, Jiawei Zhang
In addition, we explore the effectiveness of in-context learning and chain-of-thought reasoning for enhancing its performance.
1 code implementation • 9 Oct 2022 • Haopeng Zhang, Xiao Liu, Jiawei Zhang
Extractive summarization for long documents is challenging due to the extended structured input context.
1 code implementation • 1 Aug 2022 • Yilan Zhang, Fengying Xie, Xuedong Song, Hangning Zhou, Yiguang Yang, Haopeng Zhang, Jie Liu
As such they have made great improvements in many tasks of dermoscopy images.
no code implementations • Findings (NAACL) 2022 • Haopeng Zhang, Semih Yavuz, Wojciech Kryscinski, Kazuma Hashimoto, Yingbo Zhou
Abstractive summarization systems leveraging pre-training language models have achieved superior results on benchmark datasets.
no code implementations • 16 Apr 2021 • Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Jun Shi, Chenghai Xue
While, it is challenging and yet significant in clinical applications to retrieve diagnostically relevant regions from a database that consists of histopathological whole slide images (WSIs) for a query ROI.
no code implementations • 29 Mar 2021 • Haopeng Zhang, Jiawei Zhang
Unsupervised document summarization has re-acquired lots of attention in recent years thanks to its simplicity and data independence.
no code implementations • 11 Feb 2021 • Haopeng Zhang, Yuqin Chen, Gang Zhao, Jingkun Zhao, Xilong Liang, Haining Li, Yaqian Wu, Ali Luo, Rui Wang
A tentative interpretation of this special group is that its stars were formed in the X-shaped bar/bulge region, close to its corotation radius, where radial migration is the most intense, and brings them to present locations at 9 kpc and beyond.
Astrophysics of Galaxies Solar and Stellar Astrophysics
2 code implementations • 15 Jan 2020 • Jiawei Zhang, Haopeng Zhang, Congying Xia, Li Sun
We have tested the effectiveness of GRAPH-BERT on several graph benchmark datasets.
Ranked #31 on Node Classification on Cora
no code implementations • 23 Mar 2015 • Haopeng Zhang, Tarek El-Gaaly, Ahmed Elgammal, Zhiguo Jiang
Due to large variations in shape, appearance, and viewing conditions, object recognition is a key precursory challenge in the fields of object manipulation and robotic/AI visual reasoning in general.
no code implementations • 28 Dec 2013 • Sheng Huang, Dan Yang, Haopeng Zhang, Luwen Huangfu, Xiaohong Zhang
We further exploit the representational power of Haar wavelet and present a novel low-level face representation named Shape Primitives Histogram (SPH) for face recognition.
no code implementations • 13 Aug 2013 • Qing Hui, Haopeng Zhang
This sequential technical report extends some of the previous results we posted at arXiv:1306. 0225.
no code implementations • 2 Jun 2013 • Qing Hui, Haopeng Zhang
In this report, a novel variation of Particle Swarm Optimization (PSO) algorithm, called Multiagent Coordination Optimization (MCO), is implemented in a parallel computing way for practical use by introducing MATLAB built-in function "parfor" into MCO.