no code implementations • COLING 2022 • Ziming Li, Yan Zhou, Weibo Zhang, Yaxin Liu, Chuanpeng Yang, Zheng Lian, Songlin Hu
Our model also achieves state-of-the-art performance on a widely used sarcasm dataset.
no code implementations • 11 Mar 2024 • Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li
In this work, by taking each chain as a node and assembly actions as edges, we show that an acyclic undirected connected graph can be used to predict the structure of multi-chain protein complexes (a. k. a., protein complex modelling, PCM).
no code implementations • 6 Feb 2024 • Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li
In this paper, we introduce a novel framework Knowledge-Data Alignment (KDAlign) to integrate rule knowledge, typically summarized by human experts, to supplement the limited labeled data.
no code implementations • 16 Nov 2023 • Ming Chen, Yan Zhou, Weihua Jian, Pengfei Wan, Zhongyuan Wang
Though significant progress in human pose and shape recovery from monocular RGB images has been made in recent years, obtaining 3D human motion with high accuracy and temporal consistency from videos remains challenging.
1 code implementation • NeurIPS 2023 • Qingkai Fang, Yan Zhou, Yang Feng
However, due to the presence of linguistic and acoustic diversity, the target speech follows a complex multimodal distribution, posing challenges to achieving both high-quality translations and fast decoding speeds for S2ST models.
no code implementations • 19 Sep 2023 • Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu
These results indicate that implementing high quality, instance-level UQ for AI may improve decision-making with real systems compared to AI predictions alone.
1 code implementation • 23 Aug 2023 • Chen Hao, Xie Runfeng, Cui Xiangyang, Yan Zhou, Wang Xin, Xuan Zhanwei, Zhang Kai
Traditional methods are usually difficult to grasp the complex semantic information in news texts, resulting in unsatisfactory recommendation results.
1 code implementation • 19 Jun 2023 • Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, Zhengrui Ma, Yan Zhou, Langlin Huang, Mengyu Bu, Shangtong Gui, Yunji Chen, Xilin Chen, Yang Feng
To minimize human workload, we propose to transfer the capabilities of language generation and instruction following from English to other languages through an interactive translation task.
no code implementations • 14 Jun 2023 • Tong Li, Li Yu, Yibo Ma, Tong Duan, Wenzhen Huang, Yan Zhou, Depeng Jin, Yong Li, Tao Jiang
We show that the decline in carbon efficiency leads to a carbon efficiency trap, estimated to cause additional carbon emissions of 23. 82 +- 1. 07 megatons in China.
2 code implementations • 24 May 2023 • Yan Zhou, Qingkai Fang, Yang Feng
End-to-end speech translation (ST) is the task of translating speech signals in the source language into text in the target language.
no code implementations • 24 Apr 2023 • Yan Zhou, Jie Guo, Hao Sun, Bin Song, Fei Richard Yu
The main idea of multimodal recommendation is the rational utilization of the item's multimodal information to improve the recommendation performance.
no code implementations • 23 Feb 2023 • Mianxin Liu, Jingyang Zhang, Yao Wang, Yan Zhou, Fang Xie, Qihao Guo, Feng Shi, Han Zhang, Qian Wang, Dinggang Shen
Brain disorders in the early and late life of humans potentially share pathological alterations in brain functions.
no code implementations • 16 Dec 2022 • Jie Guo, Meiting Wang, Yan Zhou, Bin Song, Yuhao Chi, Wei Fan, Jianglong Chang
Then, a multi-granularity shared space is established with a designed Multi-granularity Feature Aggregation and Rearrangement (MFAR) module, which enhances the semantic corresponding relations between the local and global information, and obtains more accurate feature representations for the image and text modalities.
no code implementations • 31 Aug 2022 • Xiaowei Wu, Shengyun Wei, Yan Zhou
In this report, we find some experienced improvements by using large kernel size for convolutional deep convolution neural network based AMC, which is more efficient in extracting multi-scale features of the raw signal I/Q sequence data.
no code implementations • 27 Apr 2022 • Xianfei Hui, Baiqing Sun, Hui Jiang, Yan Zhou
The problem related to predicting dynamic volatility in financial market plays a crucial role in many contexts.
no code implementations • 6 Apr 2022 • Xianfei Hui, Baiqing Sun, Indranil SenGupta, Yan Zhou, Hui Jiang
This paper models stochastic process of price time series of CSI 300 index in Chinese financial market, analyzes volatility characteristics of intraday high-frequency price data.
no code implementations • 1 Apr 2022 • Hongmei Zhang, Kai Wang, Yan Zhou, Shadab Momin, Xiaofeng Yang, Mostafa Fatemi, Michael F. Insana
Significance: DQMP method is promising for imaging of multiple parameters, and can be generalized to global optimization for many other complex nonconvex functions and imaging of physical parameters.
1 code implementation • 27 Oct 2021 • Qing Wu, Yuwei Li, Yawen Sun, Yan Zhou, Hongjiang Wei, Jingyi Yu, Yuyao Zhang
In the ArSSR model, the reconstruction of HR images with different up-scaling rates is defined as learning a continuous implicit voxel function from the observed LR images.
no code implementations • 19 Oct 2021 • Vibha Belavadi, Yan Zhou, Murat Kantarcioglu, Bhavani M. Thuraisingham
In this paper, we address the above research question by developing novel attack techniques that can simultaneously attack one set of ML models while preserving the accuracy of the other.
no code implementations • 10 May 2021 • Yan Zhou, Murat Kantarcioglu, Chris Clifton
We demonstrate the effectiveness of our technique on real datasets using a variety of fairness metrics.
no code implementations • 26 Nov 2020 • Yan Zhou, Jin Li, Nieke Wei
The reversed and shift (RAS) sparse array scheme, which is based on the difference and sum co-array (DSCA) and remarkably enhances the capability of identifying sources, is proposed.
no code implementations • 19 Jun 2020 • Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu
Explainable AI provides insight into the "why" for model predictions, offering potential for users to better understand and trust a model, and to recognize and correct AI predictions that are incorrect.
no code implementations • 25 May 2020 • Laichuan Shen, Xiaoguang Li, Jing Xia, Lei Qiu, Xichao Zhang, Oleg A. Tretiakov, Motohiko Ezawa, Yan Zhou
Numerical simulations demonstrate that two bimerons with opposite signs of topological numbers can be created simultaneously in a ferromagnetic thin film via current-induced spin torques.
Mesoscale and Nanoscale Physics
no code implementations • 12 Jun 2018 • Dawei Feng, Kele Xu, Haibo Mi, Feifan Liao, Yan Zhou
In this paper, we explore the use of multi-scale Dense connected convolutional neural network (DenseNet) for the classification task, with the goal to improve the classification performance as multi-scale features can be extracted from the time-frequency representation of the audio signal.
no code implementations • 11 May 2018 • Yan Zhou, Murat Kantarcioglu, Bowei Xi
We demonstrate that introducing randomness to the DNN models is sufficient to defeat adversarial attacks, given that the adversary does not have an unlimited attack budget.
no code implementations • 29 Aug 2016 • Yangqi Huang, Wang Kang, Xichao Zhang, Yan Zhou, Weisheng Zhao
Magnetic skyrmions are promising candidates for next-generation information carriers, owing to their small size, topological stability, and ultralow depinning current density.