no code implementations • COLING 2022 • Longfeng Li, Haifeng Sun, Qi Qi, Jingyu Wang, Jing Wang, Jianxin Liao
Second, we propose Inverse Learning Guidance to improve the selection of aspect feature by considering aspect correlation, which provides more useful information to determine polarity.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • 18 Apr 2024 • Zeliang Ma, Song Yang, Zhe Cui, Zhicheng Zhao, Fei Su, Delong Liu, Jingyu Wang
The new trend in multi-object tracking task is to track objects of interest using natural language.
no code implementations • 31 Mar 2024 • Jingyu Wang, Niantai Jing, Ziyao Liu, Jie Nie, Yuxin Qi, Chi-Hung Chi, Kwok-Yan Lam
Additionally, we extract inconsistent regions between coarse similar regions obtained through self-correlation calculations and regions composed of prototypes.
no code implementations • 13 Feb 2024 • Xin Jin, Wu Zhou, Jingyu Wang, Duo Xu, Yongsen Zheng
In order to improve the quality of AI music generation and further guide computer music production, synthesis, recommendation and other tasks, we use Birkhoff's aesthetic measure to design a aesthetic model, objectively measuring the aesthetic beauty of music, and form a recommendation list according to the aesthetic feeling of music.
1 code implementation • 5 Feb 2024 • Yuanyi Wang, Wei Tang, Haifeng Sun, Zirui Zhuang, Xiaoyuan Fu, Jingyu Wang, Qi Qi, Jianxin Liao
In this paper, we present a propagation perspective to analyze weakly supervised EA and explain the existing aggregation-based EA models.
1 code implementation • 3 Feb 2024 • Yanhua Zhang, Ke Zhang, Jingyu Wang, Yulin Wu, Wuwei Wang
Real-time semantic segmentation is a crucial research for real-world applications.
1 code implementation • 31 Jan 2024 • Yuanyi Wang, Haifeng Sun, Jiabo Wang, Jingyu Wang, Wei Tang, Qi Qi, Shaoling Sun, Jianxin Liao
This study introduces a novel approach, DESAlign, which addresses these issues by applying a theoretical framework based on Dirichlet energy to ensure semantic consistency.
1 code implementation • 23 Jan 2024 • Yuanyi Wang, Haifeng Sun, Jingyu Wang, Qi Qi, Shaoling Sun, Jianxin Liao
However, the decoding process in EA - essential for effective operation and alignment accuracy - has received limited attention and remains tailored to specific datasets and model architectures, necessitating both entity and additional explicit relation embeddings.
1 code implementation • 21 Dec 2023 • Lvyang Yang, Jiankang Zhang, Huaiqiang Li, Longfei Ren, Chen Yang, Jingyu Wang, Dongyuan Shi
Existing computer vision approaches for digitizing engineering drawings typically assume the input drawings have high quality.
no code implementations • 7 Dec 2023 • Jianhua Pei, Jingyu Wang, Dongyuan Shi, Ping Wang
Fortunately, the powerful generation ability of the denoising diffusion models can enable more precise measurement generation for power system data recovery.
no code implementations • 21 Sep 2023 • Shengyang Wu, Jingyu Wang, Dongyuan Shi
They are sensitive to the violation of physical laws caused by FDIA, but tend to remain stable with the drift of system operating points.
1 code implementation • 15 Aug 2023 • Yilun Liu, Shimin Tao, Weibin Meng, Jingyu Wang, Wenbing Ma, Yanqing Zhao, Yuhang Chen, Hao Yang, Yanfei Jiang, Xun Chen
LogPrompt employs large language models (LLMs) to perform online log analysis tasks via a suite of advanced prompt strategies tailored for log tasks, which enhances LLMs' performance by up to 380. 7% compared with simple prompts.
1 code implementation • 26 Jul 2023 • Huazheng Wang, Daixuan Cheng, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Jing Wang, Cong Liu
It shows that finetuning PLMs with diffusion degrades the reconstruction ability on OOD data.
no code implementations • 21 Jun 2023 • Xiang Yang, Dezhi Chen, Qi Qi, Jingyu Wang, Haifeng Sun, Jianxin Liao, Song Guo
Deep Neural Networks (DNNs) have significantly improved the accuracy of intelligent applications on mobile devices.
1 code implementation • 15 Mar 2023 • Jingyu Wang, Jinfu Chen, Dongyuan Shi, Xianzhong Duan
This paper proposes an integrated framework for generating aesthetically-pleasing topology diagrams for power transmission systems.
1 code implementation • ICCV 2023 • Pengfei Ren, Chao Wen, Xiaozheng Zheng, Zhou Xue, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao
On the other hand, there are complex spatial relationship between interacting hands, which significantly increases the solution space of hand poses and increases the difficulty of network learning.
Ranked #3 on 3D Interacting Hand Pose Estimation on InterHand2.6M
1 code implementation • ICCV 2023 • Xiaozheng Zheng, Chao Wen, Zhou Xue, Pengfei Ren, Jingyu Wang
Recent advancements in 3D hand pose estimation have shown promising results, but its effectiveness has primarily relied on the availability of large-scale annotated datasets, the creation of which is a laborious and costly process.
no code implementations • 6 Jan 2023 • Qi Hu, Martin Hailstone, Jingyu Wang, Matthew Wincott, Danail Stoychev, Huriye Atilgan, Dalia Gala, Tai Chaiamarit, Richard M. Parton, Jacopo Antonello, Adam M. Packer, Ilan Davis, Martin J. Booth
Unlike previous ML methods, we used a bespoke neural network (NN) architecture, designed using physical understanding of image formation, that was embedded in the control loop of the microscope.
1 code implementation • 29 Jul 2022 • Jiachang Hao, Haifeng Sun, Pengfei Ren, Jingyu Wang, Qi Qi, Jianxin Liao
Our framework introduces two auxiliary tasks, cross-modal matching and temporal order discrimination, to promote the grounding model training.
1 code implementation • 1 Feb 2022 • Liang Liao, Sen Lin, Lun Li, Xiuwei Zhang, Song Zhao, Yan Wang, Xinqiang Wang, Qi Gao, Jingyu Wang
Higher order singular value decomposition (HOSVD) extends the SVD and can approximate higher order data using sums of a few rank-one components.
1 code implementation • CVPR 2022 • Pengfei Ren, Haifeng Sun, Jiachang Hao, Jingyu Wang, Qi Qi, Jianxin Liao
However, these methods ignore the rich semantic information in each view and ignore the complex dependencies between different regions of different views.
no code implementations • 6 Jul 2021 • Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang
A compact, accurate, and bitwidth-programmable in-memory computing (IMC) static random-access memory (SRAM) macro, named CAP-RAM, is presented for energy-efficient convolutional neural network (CNN) inference.
no code implementations • AAAI 2021 • Lei Gao, Yulong Wang, Tongcun Liu, Jingyu Wang, Lei Zhang, Jianxin Liao
Specifically, we divide the AOPE task into aspect term extraction (ATE) and aspect-specified opinion extraction (ASOE) subtasks; we first extract all the candidate aspect terms and then the corresponding opinion words given the aspect term.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3
no code implementations • 5 Nov 2020 • Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi
In this paper, we propose a novel and robust unsupervised video anomaly detection method by frame prediction with proper design which is more in line with the characteristics of surveillance videos.
no code implementations • Computers in Industry 2020 • Ce Ge, Jing Wang, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao:
With the recent progress of deep learning, advanced industrial object detectors are built for smart industrial applications.
Ranked #22 on Weakly Supervised Object Detection on PASCAL VOC 2007
1 code implementation • 19 Jul 2020 • Weiting Huang, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun
In this paper, we propose an adaptive weighting regression (AWR) method to leverage the advantages of both detection-based and regression-based methods.
Ranked #1 on Hand Pose Estimation on HANDS 2017
no code implementations • ACL 2020 • Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao
To tackle these problems, we design a post-training procedure, which contains the target domain masked language model task and a novel domain-distinguish pre-training task.
no code implementations • IJCNLP 2019 • Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, Bing Ma
It has been demonstrated that multiple senses of a word actually reside in linear superposition within the word embedding so that specific senses can be extracted from the original word embedding.
no code implementations • IJCNLP 2019 • Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu, Ming Liu
Aspect-level sentiment classification is a crucial task for sentiment analysis, which aims to identify the sentiment polarities of specific targets in their context.
1 code implementation • CVPR 2019 • Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun
Many channel pruning works utilize structured sparsity regularization to zero out all the weights in some channels and automatically obtain structure-sparse network in training stage.
no code implementations • BMVC 2018 • Ce Ge, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao
As most weakly supervised object detection methods are based on pre-generated proposals, they often show two false detections: (i) group multiple object instances with one bounding box, and (ii) focus on only parts rather than the whole objects.
Ranked #25 on Weakly Supervised Object Detection on PASCAL VOC 2007
no code implementations • 7 Nov 2016 • Huabin Zheng, Jingyu Wang, Zhengjie Huang, Yang Yang, Rong pan
We take advantage of the successful architecture called fully convolutional networks (FCN) in the field of semantic segmentation.