no code implementations • SemEval (NAACL) 2022 • Yue Zhou, Bowei Wei, Jianyu Liu, Yang Yang
Synonym and antonym practice are the most common practices in our early childhood.
1 code implementation • 17 Apr 2024 • Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
This paper studies the relationship between the surface form of a mathematical problem and its solvability by large language models.
no code implementations • 16 Apr 2024 • Yue Zhou, Barbara Di Eugenio, Brian Ziebart, Lisa Sharp, Bing Liu, Nikolaos Agadakos
Health coaching helps patients achieve personalized and lifestyle-related goals, effectively managing chronic conditions and alleviating mental health issues.
no code implementations • COLING 2022 • Yue Zhou, Barbara Di Eugenio, Brian Ziebart, Lisa Sharp, Bing Liu, Ben Gerber, Nikolaos Agadakos, Shweta Yadav
In this paper, we propose to build a dialogue system that converses with the patients, helps them create and accomplish specific goals, and can address their emotions with empathy.
no code implementations • 28 Mar 2024 • Hongwei Ren, Jiadong Zhu, Yue Zhou, Haotian Fu, Yulong Huang, Bojun Cheng
These cameras implicitly capture movement and depth information in events, making them appealing sensors for Camera Pose Relocalization (CPR) tasks.
no code implementations • 7 Feb 2024 • Yulong Huang, Xiaopeng Lin, Hongwei Ren, Yue Zhou, Zunchang Liu, Haotian Fu, Biao Pan, Bojun Cheng
We link the degraded accuracy to the vanishing of gradient on the temporal dimension through the analytical and experimental study of the training process of Leaky Integrate-and-Fire (LIF) Neuron-based SNNs.
1 code implementation • 27 Jan 2024 • Yue Zhou, Chenlu Guo, Xu Wang, Yi Chang, Yuan Wu
Leveraging large models, these data augmentation techniques have outperformed traditional approaches.
no code implementations • 31 Oct 2023 • Ruijun Shi, Yue Zhou, Tianyu Zhao, Zhoujian Cao, Zhixiang Ren
Space-based gravitational wave (GW) detection is one of the most anticipated GW detection projects in the next decade, which promises to detect abundant compact binary systems.
1 code implementation • 23 Oct 2023 • Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea
During crisis events, people often use social media platforms such as Twitter to disseminate information about the situation, warnings, advice, and support.
1 code implementation • 23 Oct 2023 • Henry Peng Zou, Yue Zhou, Cornelia Caragea, Doina Caragea
The shared real-time information about natural disasters on social media platforms like Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and response organizations.
no code implementations • 11 Oct 2023 • Hongwei Ren, Yue Zhou, Yulong Huang, Haotian Fu, Xiaopeng Lin, Jie Song, Bojun Cheng
Moreover, it also achieves SOTA performance across all methods on three datasets, utilizing approximately 0. 3\% of the parameters and 0. 5\% of power consumption employed by artificial neural networks (ANNs).
1 code implementation • 13 Sep 2023 • Haoqin Hong, Yue Zhou, Xiangyu Shu, Xiaofang Hu
Traffic sign detection is an important research direction in intelligent driving.
no code implementations • 31 Aug 2023 • Tianyu Zhao, Yue Zhou, Ruijun Shi, Zhoujian Cao, Zhixiang Ren
The detection of Extreme Mass Ratio Inspirals (EMRIs) is intricate due to their complex waveforms, extended duration, and low signal-to-noise ratio (SNR), making them more challenging to be identified compared to compact binary coalescences.
no code implementations • 19 Aug 2023 • Hongwei Ren, Yue Zhou, Haotian Fu, Yulong Huang, Renjing Xu, Bojun Cheng
In the experiment, TTPOINT emerged as the SOTA method on three datasets while also attaining SOTA among point cloud methods on all five datasets.
1 code implementation • 7 Aug 2023 • Zhongliang Jiang, Yue Zhou, Dongliang Cao, Nassir Navab
The recovery of morphologically accurate anatomical images from deformed ones is challenging in ultrasound (US) image acquisition, but crucial to accurate and consistent diagnosis, particularly in the emerging field of computer-assisted diagnosis.
9 code implementations • 14 Dec 2022 • Chengqi Lyu, Wenwei Zhang, Haian Huang, Yue Zhou, Yudong Wang, Yanyi Liu, Shilong Zhang, Kai Chen
In this paper, we aim to design an efficient real-time object detector that exceeds the YOLO series and is easily extensible for many object recognition tasks such as instance segmentation and rotated object detection.
Ranked #1 on Oriented Object Detection on DOTA 1.5
no code implementations • SemEval (NAACL) 2022 • Junyuan Shang, Shuohuan Wang, Yu Sun, Yanjun Yu, Yue Zhou, Li Xiang, Guixiu Yang
This paper describes our winning system on SemEval 2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts.
3 code implementations • 13 Oct 2022 • Xue Yang, Gefan Zhang, Wentong Li, Xuehui Wang, Yue Zhou, Junchi Yan
Oriented object detection emerges in many applications from aerial images to autonomous driving, while many existing detection benchmarks are annotated with horizontal bounding box only which is also less costive than fine-grained rotated box, leading to a gap between the readily available training corpus and the rising demand for oriented object detection.
1 code implementation • 22 Sep 2022 • Xue Yang, Gefan Zhang, Xiaojiang Yang, Yue Zhou, Wentao Wang, Jin Tang, Tao He, Junchi Yan
Existing detection methods commonly use a parameterized bounding box (BBox) to model and detect (horizontal) objects and an additional rotation angle parameter is used for rotated objects.
1 code implementation • 6 Jul 2022 • Yuanzhi Duan, Yue Zhou, Peng He, Qiang Liu, Shukai Duan, Xiaofang Hu
In this paper, we propose a novel Feature Shift Minimization (FSM) method to compress CNN models, which evaluates the feature shift by converging the information of both features and filters.
1 code implementation • 28 Apr 2022 • Yue Zhou, Xue Yang, Gefan Zhang, Jiabao Wang, Yanyi Liu, Liping Hou, Xue Jiang, Xingzhao Liu, Junchi Yan, Chengqi Lyu, Wenwei Zhang, Kai Chen
We present an open-source toolbox, named MMRotate, which provides a coherent algorithm framework of training, inferring, and evaluation for the popular rotated object detection algorithm based on deep learning.
3 code implementations • 29 Jan 2022 • Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, Qi Tian
This is in contrast to recent Gaussian modeling based rotation detectors e. g. GWD loss and KLD loss that involve a human-specified distribution distance metric which require additional hyperparameter tuning that vary across datasets and detectors.
no code implementations • 5 Jan 2022 • Yang Zhou, Jiuhong Xiao, Yue Zhou, Giuseppe Loianno
Multi-robot systems such as swarms of aerial robots are naturally suited to offer additional flexibility, resilience, and robustness in several tasks compared to a single robot by enabling cooperation among the agents.
1 code implementation • 10 Dec 2021 • Yuanzhi Duan, Xiaofang Hu, Yue Zhou, Qiang Liu, Shukai Duan
In this paper, by exploring the similarities between feature maps, we propose a novel filter pruning method, Central Filter (CF), which suggests that a filter is approximately equal to a set of other filters after appropriate adjustments.
1 code implementation • 12 Nov 2021 • Xue Yang, Yue Zhou, Junchi Yan
AlphaRotate is an open-source Tensorflow benchmark for performing scalable rotation detection on various datasets.
no code implementations • IEEE Transactions on Services Computing 2021 • Xin Luo, Yue Zhou, ZhiGang Liu, Lun Hu, Mengchu Zhou
A non-negative latent factor (NLF) model with a single latent factor-dependent, non-negative and multiplicative update (SLF-NMU) algorithm is frequently adopted to extract useful knowledge from non-negative data represented by high-dimensional and sparse (HiDS) matrices arising from various service applications.
no code implementations • 30 Mar 2021 • Viktorija Dudjak, Diana Neves, Tarek Alskaif, Shafi Khadem, Alejandro Pena-Bello, Pietro Saggese, Benjamin Bowler, Merlinda Andoni, Marina Bertolini, Yue Zhou, Blanche Lormeteau, Mustafa A. Mustafa, Yingjie Wang, Christina Francis, Fairouz Zobiri, David Parra, Antonios Papaemmanouil
In recent years extensive research has been conducted on the development of different models that enable energy trading between prosumers and consumers due to expected high integration of distributed energy resources.
no code implementations • 16 Feb 2021 • Giovanni Longobardi, Giuseppe Marino, Rocco Trombetti, Yue Zhou
In this paper, we provide a large family of new maximum scattered linear sets over $\mathrm{PG}(1, q^n)$ for any even $n\geq 6$ and odd $q$.
Combinatorics 94B05, 11T06, 15A04
3 code implementations • CVPR 2021 • Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan
Rotation detection serves as a fundamental building block in many visual applications involving aerial image, scene text, and face etc.
Ranked #29 on Object Detection In Aerial Images on DOTA (using extra training data)
1 code implementation • 17 Aug 2020 • Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, WenGuang Chen
The de facto HPC benchmark LINPACK can not reflect AI computing power and I/O performance without representative workload.
no code implementations • 17 Aug 2020 • Yue Zhou, Kerstin Voigt
We adopt BERT with multitask learning which additionally predicts the worthiness of the news and propose a metric called Polarity-Over-Time to extract the word polarity among different event periods.
no code implementations • 21 Jul 2020 • Tianwen Zhang, Xiaoling Zhang, Jun Shi, Shunjun Wei, Jianguo Wang, Jianwei Li, Hao Su, Yue Zhou
Huge imbalance of different scenes' sample numbers seriously reduces Synthetic Aperture Radar (SAR) ship detection accuracy.
no code implementations • 26 May 2020 • Xinyue Cui, Zhaoyu Xu, Yue Zhou
In this essay, we have comprehensively evaluated the feasibility and suitability of adopting the Machine Learning Models on the forecast of corporation fundamentals (i. e. the earnings), where the prediction results of our method have been thoroughly compared with both analysts' consensus estimation and traditional statistical models.
no code implementations • 8 Apr 2020 • Yue Zhou, Yan Zhang, JingTao Yao
Moreover, the vagueness of satire and news parody determines that a news tweet can hardly be classified with a binary decision, that is, satirical or legitimate.