no code implementations • SMM4H (COLING) 2022 • Yan Zhuang, Yanru Zhang
This paper describes our approach for 11 classification tasks (Task1a, Task2a, Task2b, Task3a, Task3b, Task4, Task5, Task6, Task7, Task8 and Task9) from Social Media Mining for Health (SMM4H) 2022 Shared Tasks.
1 code implementation • 31 Mar 2024 • Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen
Computerized Adaptive Testing (CAT) provides an efficient and tailored method for assessing the proficiency of examinees, by dynamically adjusting test questions based on their performance.
no code implementations • 15 Mar 2024 • Mohammad Shifat E Rabbi, Naqib Sad Pathan, Shiying Li, Yan Zhuang, Abu Hasnat Mohammad Rubaiyat, Gustavo K Rohde
Our approach employs the Linear Optimal Transport (LOT) transform to obtain a linear embedding of set-structured data.
no code implementations • 11 Dec 2023 • Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
As a new emerging and promising type of generative models, diffusion models have proven to outperform Generative Adversarial Networks (GANs) in multiple tasks, including image synthesis.
no code implementations • 18 Nov 2023 • Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen
In this paper, we propose ECLM, an edge-cloud collaborative learning framework for rapid model adaptation for dynamic edge environments.
1 code implementation • 18 Jun 2023 • Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen
Different tests for different models using efficient adaptive testing -- we believe this has the potential to become a new norm in evaluating large language models.
no code implementations • 20 Mar 2023 • Ahmed H. Shahin, Yan Zhuang, Noha El-Zehiry
Furthermore, our framework accommodates multiple edits to the segmentation output in a sequential manner without compromising previous edits.
no code implementations • 2 Feb 2023 • Mohammad Shifat E Rabbi, Abu Hasnat Mohammad Rubaiyat, Yan Zhuang, Gustavo K Rohde
These methods often require extensive training data, are computationally expensive, and are vulnerable to out-of-distribution samples, e. g., adversarial attacks.
2 code implementations • 23 Nov 2022 • Yue Liu, Jun Xia, Sihang Zhou, Xihong Yang, Ke Liang, Chenchen Fan, Yan Zhuang, Stan Z. Li, Xinwang Liu, Kunlun He
However, the corresponding survey paper is relatively scarce, and it is imminent to make a summary of this field.
1 code implementation • 30 Apr 2022 • Abu Hasnat Mohammad Rubaiyat, Shiying Li, Xuwang Yin, Mohammad Shifat E Rabbi, Yan Zhuang, Gustavo K. Rohde
This paper presents a new end-to-end signal classification method using the signed cumulative distribution transform (SCDT).
1 code implementation • 6 Mar 2022 • Renzhi He, Yan Zhuang, Boya Fu, Fei Liu
In this work, we develop an alternative method to estimate the precise mathematical model of the point spread function to describe the defocus process.
1 code implementation • 22 Feb 2022 • Yan Zhuang, Shiying Li, Mohammad Shifat-E-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Gustavo K. Rohde
Face recognition is then performed using a nearest subspace in R-CDT domain of local gradient distributions.
2 code implementations • 9 Jan 2022 • Mohammad Shifat E Rabbi, Yan Zhuang, Shiying Li, Abu Hasnat Mohammad Rubaiyat, Xuwang Yin, Gustavo K. Rohde
However, they are known to underperform when training data are limited and thus require data augmentation strategies that render the method computationally expensive and not always effective.
1 code implementation • 11 Oct 2021 • Abu Hasnat Mohammad Rubaiyat, Mohammad Shifat-E-Rabbi, Yan Zhuang, Shiying Li, Gustavo K. Rohde
This paper presents a new method to classify 1D signals using the signed cumulative distribution transform (SCDT).
no code implementations • 15 Apr 2021 • Yuben Qu, Haipeng Dai, Yan Zhuang, Jiafa Chen, Chao Dong, Fan Wu, Song Guo
Unmanned aerial vehicles (UAVs), or say drones, are envisioned to support extensive applications in next-generation wireless networks in both civil and military fields.
no code implementations • SEMEVAL 2020 • Weilong Chen, Yan Zhuang, Peng Wang, Feng Hong, Yan Wang, Yanru Zhang
The main purpose of this article is to state the effect of using different methods and models for counterfactual determination and detection of causal knowledge.
no code implementations • SEMEVAL 2020 • Wei Bao, Weilong Chen, Wei Bai, Yan Zhuang, Mingyuan Cheng, Xiangyu Ma
Mixing languages are widely used in social media, especially in multilingual societies like India.
no code implementations • 17 Jul 2015 • Yingxiao Wu, Yan Zhuang, Xi Long, Feng Lin, Wenyao Xu
Gender contains a wide range of information regarding to the characteristics difference between male and female.