1 code implementation • Findings (ACL) 2022 • Yang Chi, Fausto Giunchiglia, Daqian Shi, Xiaolei Diao, Chuntao Li, Hao Xu
In addition, powered by the knowledge of radical systems in ZiNet, this paper introduces glyph similarity measurement between ancient Chinese characters, which could capture similar glyph pairs that are potentially related in origins or semantics.
no code implementations • 9 May 2024 • Jiaqi Zou, Hao Xu, Chao Wang, Lvxin Xu, Songlin Sun, Kaitao Meng, Christos Masouros, Kai-Kit Wong
As an emerging antenna technology, a fluid antenna system (FAS) enhances spatial diversity to improve both sensing and communication performance by shifting the active antennas among available ports.
1 code implementation • 21 Apr 2024 • Yun Wu, Hao Xu, Maohua Gu, Zhongchuan Jiang, Jun Xu, Youliang Tian
To advance the diagnosis of dental fluorosis, we propose a pioneering deep learning model called masked latent transformer with the random masking ratio (MLTrMR).
2 code implementations • 16 Apr 2024 • Bin Ren, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, ZhengJun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Barsoum Emad, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, YuHan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Qian Wang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi
In sub-track 1, the practical runtime performance of the submissions was evaluated, and the corresponding score was used to determine the ranking.
no code implementations • 16 Apr 2024 • Yiqian Wu, Hao Xu, Xiangjun Tang, Xien Chen, Siyu Tang, Zhebin Zhang, Chen Li, Xiaogang Jin
Existing neural rendering-based text-to-3D-portrait generation methods typically make use of human geometry prior and diffusion models to obtain guidance.
1 code implementation • 15 Apr 2024 • Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-chao Dou, Gui-ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqin Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel
This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained.
no code implementations • 14 Apr 2024 • Wenchao Wu, Hao Xu, Dongxiao Zhang, Fanyang Mo
We present an innovative of artificial intelligence with column chromatography, aiming to resolve inefficiencies and standardize data collection in chemical separation and purification domain.
no code implementations • 7 Apr 2024 • Haifeng Wang, Hao Xu, Jun Wang, Jian Zhou, Ke Deng
Recognizing various surgical tools, actions and phases from surgery videos is an important problem in computer vision with exciting clinical applications.
1 code implementation • 27 Mar 2024 • Hao Xu, Haipeng Li, Yinqiao Wang, Shuaicheng Liu, Chi-Wing Fu
Reconstructing 3D hand mesh robustly from a single image is very challenging, due to the lack of diversity in existing real-world datasets.
no code implementations • 17 Mar 2024 • Yunrui Li, Hao Xu, Pengyu Hong
Although significant progresses have been made in predicting one-dimensional (1D) NMR, two-dimensional (2D) NMR prediction via ML remains a challenge due to the lack of annotated NMR training datasets.
1 code implementation • 18 Feb 2024 • Jun Zhao, Can Zu, Hao Xu, Yi Lu, wei he, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang
Large language models (LLMs) have demonstrated impressive performance in understanding language and executing complex reasoning tasks.
1 code implementation • 2 Feb 2024 • Yinqiao Wang, Hao Xu, Pheng-Ann Heng, Chi-Wing Fu
Estimating 3D hand mesh from RGB images is a longstanding track, in which occlusion is one of the most challenging problems.
no code implementations • 31 Jan 2024 • Hao Xu, Zhengyang Zhou, Pengyu Hong
Additionally, previous multi-similarity approaches require the specification of positive and negative pairs to attribute distinct predefined weights to different relative similarities, which can introduce potential bias.
1 code implementation • 25 Dec 2023 • Rui Song, Fausto Giunchiglia, Yingji Li, Mingjie Tian, Hao Xu
However, these methods rely on unlabeled samples provided by the target domains, which renders the model ineffective when the target domain is agnostic.
1 code implementation • 18 Dec 2023 • Yuxuan Huang, Lida Shi, Anqi Liu, Hao Xu
We further introduce LLM-ARK, a LLM grounded KG reasoning agent designed to deliver precise and adaptable predictions on KG paths.
1 code implementation • 17 Dec 2023 • Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian McAuley
This fine-tuning allows the model to generate explanations that convey the compatibility relationships between items.
no code implementations • 9 Dec 2023 • Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
To address these issues, we utilize the advantages of reinforcement learning in adaptively learning in complex environments and propose a novel method that incorporates Reinforcement neighborhood selection for unsupervised graph ANomaly Detection (RAND).
no code implementations • 2 Dec 2023 • Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang
Explainable artificial intelligence (XAI) aims to develop transparent explanatory approaches for "black-box" deep learning models.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
no code implementations • 29 Nov 2023 • Ziyang Song, Qincheng Lu, Hao Xu, David L. Buckeridge, Yue Li
This underscores the limitations of the existing transformer-based architectures, particularly their scalability to handle large-scale data and ability to capture long-term temporal dependencies.
no code implementations • 23 Nov 2023 • Hao Xu, Zhengyang Zhou, Pengyu Hong
Nuclear magnetic resonance (NMR) spectroscopy plays an essential role in deciphering molecular structure and dynamic behaviors.
no code implementations • 11 Nov 2023 • Yunan Sun, Hao Xu, Chongjun Ouyang, Hongwen Yang
Numerical results are presented to verify the effectiveness of the proposed algorithm and the superiority of the proposed MA-based system in terms of sum-rate.
no code implementations • 11 Nov 2023 • Hao Xu, Yifei Wang, Yunrui Li, Pengyu Hong
Through practical tasks such as isomer discrimination and uncovering crucial chemical properties for drug discovery, ACML exhibits its capability to revolutionize chemical research and applications, providing a deeper understanding of chemical semantics of different modalities.
no code implementations • 27 Sep 2023 • Hao Xu, Yuntian Chen, Zhenzhong Zeng, Nina Li, Jian Li, Dongxiao Zhang
Through this AI-driven knowledge discovery, we uncover previously undisclosed explicit equations that shed light on the connection between terrain features and precipitation patterns.
1 code implementation • 25 Sep 2023 • Zebin Ma, Yonglin Zou, Xiaobin Huang, Wenjin Yan, Hao Xu, Jiexin Yang, Ying Zhang, Jinqi Huang
Comparative experiments show that pLMFPPred outperforms current methods for predicting functional peptides. The experimental results suggest that the proposed method (pLMFPPred) can provide better performance in terms of Accuracy, Area under the curve - Receiver Operating Characteristics, and F1-Score than existing methods.
no code implementations • 24 Sep 2023 • Hao Xu, Wei Fan, Ambrose C. Taylor, Dongxiao Zhang, Lecheng Ruan, Rundong Shi
Computational solid mechanics has become an indispensable approach in engineering, and numerical investigation of fracture in composites is essential as composites are widely used in structural applications.
no code implementations • 22 Sep 2023 • Huixuan Chi, Hao Xu, Mengya Liu, Yuanchen Bei, Sheng Zhou, Danyang Liu, Mengdi Zhang
(2) spatiotemporal collaborative signal, which indicates similar users have similar preferences at specific locations and times.
no code implementations • 20 Sep 2023 • Hao Xu, Juan Du, Andi Wang
Image-based systems have gained popularity owing to their capacity to provide rich manufacturing status information, low implementation costs and high acquisition rates.
1 code implementation • 1 Sep 2023 • Youhong Wang, Yunji Liang, Hao Xu, Shaohui Jiao, Hongkai Yu
Each individual slice of the volume signifies the relative distances between points and objects within a latent space.
1 code implementation • ICCV 2023 • Xueting Yang, Yihao Luo, Yuliang Xiu, Wei Wang, Hao Xu, Zhaoxin Fan
In this paper, we propose replacing the implicit value with an adaptive uncertainty distribution, to differentiate between points based on their distance to the surface.
no code implementations • 1 Aug 2023 • Xiaolei Diao, Daqian Shi, Jian Li, Lida Shi, Mingzhe Yue, Ruihua Qi, Chuntao Li, Hao Xu
To increase the adaptability of ACCID, we propose a splicing-based synthetic character algorithm to augment the training samples and apply an image denoising method to improve the image quality.
no code implementations • 27 Jul 2023 • Yiqian Wu, Hao Xu, Xiangjun Tang, Hongbo Fu, Xiaogang Jin
We then propose 3DPortraitGAN, the first 3D-aware one-quarter headshot portrait generator that learns a canonical 3D avatar distribution from the 360{\deg}PHQ dataset with body pose self-learning.
3 code implementations • 17 Jul 2023 • Chao Li, Zijie Guo, Qiuting He, Hao Xu, Kun He
To this end, we investigate the importance of different meta-paths and introduce an automatic framework for utilizing long-range dependency on heterogeneous graphs, denoted as Long-range Meta-path Search through Progressive Sampling (LMSPS).
Ranked #2 on Node Property Prediction on ogbn-mag
no code implementations • 6 Jul 2023 • Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
Dynamic graph data mining has gained popularity in recent years due to the rich information contained in dynamic graphs and their widespread use in the real world.
1 code implementation • 3 Jul 2023 • Hao Xu, Yuntian Chen, Dongxiao Zhang
Our model-agnostic framework can be applied to a variety of common network architectures, providing a comprehensive understanding of the role of prior knowledge in deep learning models.
no code implementations • 1 Jul 2023 • Rui Song, Fausto Giunchiglia, Yingji Li, Hao Xu
Despite large-scale pre-trained language models have achieved striking results for text classificaion, recent work has raised concerns about the challenge of shortcut learning.
no code implementations • 21 Jun 2023 • Hao Xu, Jia Liu, Yang shen, Kenan Lou, Yanxia Bao, Ruihua Zhang, Shuyue Zhou, Hongsen Zhao, Shuai Wang
However, by analyzing the statistical characteristic of activated units after pooling, we found that a large number of units dropped by sorting pooling are negative-value units that contain useful information and can contribute considerably to the final decision.
1 code implementation • 19 Jun 2023 • Ziqiao Peng, Yihao Luo, Yue Shi, Hao Xu, Xiangyu Zhu, Jun He, Hongyan Liu, Zhaoxin Fan
To enhance the visual accuracy of generated lip movement while reducing the dependence on labeled data, we propose a novel framework SelfTalk, by involving self-supervision in a cross-modals network system to learn 3D talking faces.
1 code implementation • 8 Jun 2023 • Zheng Yuan, Aldo Pastore, Dorina De Jong, Hao Xu, Luciano Fadiga, Alessandro D'Ausilio
Phonetic convergence describes the automatic and unconscious speech adaptation of two interlocutors in a conversation.
no code implementations • 11 May 2023 • Yuwei Ren, Matt Zivney, Yin Huang, Eddie Choy, Chirag Patel, Hao Xu
Speaker protection algorithm is to leverage the playback signal properties to prevent over excursion while maintaining maximum loudness, especially for the mobile phone with tiny loudspeakers.
no code implementations • 23 Apr 2023 • Chao Li, Hao Xu, Kun He
Meta-structures are widely used to define which subset of neighbors to aggregate information in heterogeneous information networks (HINs).
no code implementations • 12 Apr 2023 • Bo Li, Yihua Chen, Hao Xu, Fei Zhong
The swift and precise detection of vehicles plays a significant role in intelligent transportation systems.
1 code implementation • 25 Mar 2023 • Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai
Our method is constructed by proposed registration-based peak augmentation (RPA) and uncertainty-based refining (URe) modules.
2 code implementations • ICCV 2023 • Ziqiao Peng, HaoYu Wu, Zhenbo Song, Hao Xu, Xiangyu Zhu, Jun He, Hongyan Liu, Zhaoxin Fan
Specifically, we introduce the emotion disentangling encoder (EDE) to disentangle the emotion and content in the speech by cross-reconstructed speech signals with different emotion labels.
no code implementations • 22 Feb 2023 • Chongjun Ouyang, Hao Xu, Xujie Zang, Hongwen Yang
This work proposes a novel joint design for multiuser multiple-input multiple-output wiretap channels.
no code implementations • 22 Jan 2023 • Fausto Giunchiglia, Gabor Bella, Nandu Chandran Nair, Yang Chi, Hao Xu
In today's multilingual lexical databases, the majority of the world's languages are under-represented.
1 code implementation • 18 Jan 2023 • Huadeng Wang, Hao Xu, Bingbing Li, Xipeng Pan, Lingqi Zeng, Rushi Lan, Xiaonan Luo
In the first stage, a detection network named M_det is proposed to detect as many mitoses as possible.
1 code implementation • 10 Jan 2023 • Hao Xu, Hui Xiao, Huazheng Hao, Li Dong, Xiaojie Qiu, Chengbin Peng
We also propose a mechanism to select a few pseudo-negative labels to feed into submodels.
1 code implementation • CVPR 2023 • Jian Li, Ziyao Meng, Daqian Shi, Rui Song, Xiaolei Diao, Jingwen Wang, Hao Xu
Through representation learning, DNNs can map BFs into dense clusters in feature space, while the features of minority classes often show sparse clusters.
1 code implementation • ICCV 2023 • Suyi Chen, Hao Xu, Ru Li, Guanghui Liu, Chi-Wing Fu, Shuaicheng Liu
We design SIRA-PCR, a new approach to 3D point cloud registration.
1 code implementation • CVPR 2023 • Hao Xu, Tianyu Wang, Xiao Tang, Chi-Wing Fu
First, we decouple hand mesh reconstruction into two branches, one to exploit finger-level non-occluded information and the other to exploit global hand orientation, with lightweight structures to promote real-time inference.
Ranked #5 on 3D Hand Pose Estimation on HO-3D
1 code implementation • 30 Nov 2022 • Zhaoxin Fan, Yuqing Pan, Hao Xu, Zhenbo Song, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He
These novel elements of FuRPE not only serve to further refine the model but also to reduce potential biases that may arise from inaccuracies in pseudo labels, thereby optimizing the network's training process and enhancing the robustness of the model.
no code implementations • 27 Nov 2022 • Chao Li, Hao Xu, Kun He
To address these issues, we propose a novel method called Partial Message Meta Multigraph search (PMMM) to automatically optimize the neural architecture design on HINs.
no code implementations • 14 Nov 2022 • Yuwei Ren, Jiuyuan Lu, Andrian Beletchi, Yin Huang, Ilia Karmanov, Daniel Fontijne, Chirag Patel, Hao Xu
Range-Doppler information (RDI) is obtained by using pulse Doppler radar for gesture recognition.
no code implementations • 7 Nov 2022 • Hao Xu, Jinglong Lin, Dongxiao Zhang, Fanyang Mo
A new research framework is proposed to incorporate machine learning techniques into the field of experimental chemistry to facilitate chromatographic enantioseparation.
no code implementations • 23 Oct 2022 • Bin Ji, Shasha Li, Hao Xu, Jie Yu, Jun Ma, Huijun Liu, Jing Yang
On the one hand, the core architecture enables our model to learn token-level label information via the sequence tagging mechanism and then uses the information in the span-based joint extraction; on the other hand, it establishes a bi-directional information interaction between NER and RE.
Joint Entity and Relation Extraction named-entity-recognition +3
1 code implementation • 11 Oct 2022 • Lin Ma, Jiangtao Gong, Hao Xu, Hao Chen, Hao Zhao, Wenbing Huang, Guyue Zhou
In this paper, we present a graph-transformer based framework for the ASP problem which is trained and demonstrated on a self-collected ASP database.
no code implementations • 26 Sep 2022 • Tiantian Tang, Hao Xu, Chengcheng Wu, Sijie Lye, Yan Xiang
Autonomous driving is a hot research topic in the frontier of science and technology.
1 code implementation • Neurocomputing 2022 • Hui Xiao, Li Dong, Kangkang Song, Hao Xu, Shuibo Fu, Diqun Yan, Chengbin Peng
In experiments, the cross-teacher module significantly improves the performance of traditional student-teacher approaches, and our framework outperforms stateof-the-art methods on benchmark datasets.
no code implementations • 29 Aug 2022 • Hao Xu, Bo Li, Fei Zhong
Fire-detection technology is of great importance for successful fire-prevention measures.
no code implementations • 18 Aug 2022 • Bin Ji, Hao Xu, Jie Yu, Shasha Li, Jun Ma, Yuke Ji, Huijun Liu
An exhaustive study has been conducted to investigate span-based models for the joint entity and relation extraction task.
1 code implementation • 5 Aug 2022 • Hao Xu, Junsheng Zeng, Dongxiao Zhang
The PIC is also employed to discover unrevealed macroscale governing equations from microscopic simulation data in an actual physical scene.
no code implementations • 1 Aug 2022 • Huixuan Chi, Hao Xu, Hao Fu, Mengya Liu, Mengdi Zhang, Yuji Yang, Qinfen Hao, Wei Wu
In particular: 1) existing methods do not explicitly encode and capture the evolution of short-term preference as sequential methods do; 2) simply using last few interactions is not enough for modeling the changing trend.
no code implementations • 20 Jul 2022 • Chongjun Ouyang, Hao Xu, Xujie Zang, Hongwen Yang
This paper considers a lens antenna array-assisted millimeter wave (mmWave) multiuser multiple-input multiple-output (MU-MIMO) system.
no code implementations • 16 Jul 2022 • Daqian Shi, Xiaolei Diao, Hao Tang, Xiaomin Li, Hao Xing, Hao Xu
SENet aims to preserve the structural consistency of the character and normalize complex noise.
1 code implementation • 16 Jul 2022 • Daqian Shi, Xiaolei Diao, Lida Shi, Hao Tang, Yang Chi, Chuntao Li, Hao Xu
Degraded images commonly exist in the general sources of character images, leading to unsatisfactory character recognition results.
no code implementations • 12 Jul 2022 • Xiaolei Diao, Daqian Shi, Hao Tang, Qiang Shen, Yanzeng Li, Lei Wu, Hao Xu
The long-tail effect is a common issue that limits the performance of deep learning models on real-world datasets.
no code implementations • 30 May 2022 • Oluwaseyi Onasami, Ming Feng, Hao Xu, Mulugeta Haile, Lijun Qian
Underwater acoustic (UWA) communications have been widely used but greatly impaired due to the complicated nature of the underwater environment.
no code implementations • 24 May 2022 • Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu
This EMR optimization objective is able to derive an iterative updating rule, which can be formalized as an ensemble message passing (EnMP) layer with multi-relations.
no code implementations • 18 Apr 2022 • Yuchao Zheng, Chen Li, Xiaomin Zhou, HaoYuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
Method: This paper proposes a deep ensemble model based on image-level labels for the binary classification of benign and malignant lesions of breast histopathological images.
no code implementations • 16 Apr 2022 • Hao Xu, Yuntian Chen, Dongxiao Zhang
The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the "black box" model.
no code implementations • 15 Apr 2022 • Haoming Chen, Runyang Feng, Sifan Wu, Hao Xu, Fengcheng Zhou, Zhenguang Liu
Briefly, existing approaches put their efforts in three directions, namely network architecture design, network training refinement, and post processing.
no code implementations • 9 Apr 2022 • Berkin Akin, Suyog Gupta, Yun Long, Anton Spiridonov, Zhuo Wang, Marie White, Hao Xu, Ping Zhou, Yanqi Zhou
On-device ML accelerators are becoming a standard in modern mobile system-on-chips (SoC).
1 code implementation • 7 Apr 2022 • Simon Dahan, Hao Xu, Logan Z. J. Williams, Abdulah Fawaz, Chunhui Yang, Timothy S. Coalson, Michelle C. Williams, David E. Newby, A. David Edwards, Matthew F. Glasser, Alistair A. Young, Daniel Rueckert, Emma C. Robinson
Results suggest that Surface Vision Transformers (SiT) demonstrate consistent improvement over geometric deep learning methods for brain age and fluid intelligence prediction and achieve comparable performance on calcium score classification to standard metrics used in clinical practice.
no code implementations • 02/05 2022 • Zhihui Chen, Hao Xu, Junxuan Zhao, and Hongchao Liu
To contribute to better roadside LiDAR-based transportation facilities, this paper presents a fast-spherical-projection-based clustering algorithm (FSPC) for real-time LiDAR data processing with higher clustering accuracy and noise handling.
no code implementations • 22 Jan 2022 • Keqi Wang, Ziteng Cui, Jieru Jia, Hao Xu, Ge Wu, Yin Zhuang, Lu Chen, Zhiguo Hu, Yuhua Qian
However, the convolution operation is based on a local sliding window mechanism, which is difficult to construct the long-range dependencies of the feature maps.
no code implementations • 14 Dec 2021 • Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek
Each type of EM contains 40 original and 40 GT images, in total 1680 EM images.
1 code implementation • 23 Nov 2021 • Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu
Our proposed Dynamic Preference Structure (DPS) framework consists of two stages: structure sampling and graph fusion.
no code implementations • 18 Nov 2021 • Hao Xu, Steven A. Niederer, Steven E. Williams, David E. Newby, Michelle C. Williams, Alistair A. Young
In addition to the new labels, the median Dice scores were improved for all the initial 6 labels to be above 95% in the 10-label segmentation, e. g. from 91% to 97% for the left atrium body and from 92% to 96% for the right ventricle.
no code implementations • 12 Oct 2021 • Justin Li, Dakang Zhang, Yifei Wang, Christopher Ye, Hao Xu, Pengyu Hong
Since late 1960s, there have been numerous successes in the exciting new frontier of asymmetric catalysis.
no code implementations • 16 Jul 2021 • Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Hechen Yang, Hongzan Sun, Tao Jiang, Marcin Grzegorzek
In recent years, deep learning has made brilliant achievements in Environmental Microorganism (EM) image classification.
no code implementations • 18 Jun 2021 • Rui Song, Xingbing Chen, Zelong Liu, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu
In this paper, we propose a Label Mask multi-label text classification model (LM-MTC), which is inspired by the idea of cloze questions of language model.
2 code implementations • 9 Jun 2021 • Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang
Partial differential equations (PDEs) are concise and understandable representations of domain knowledge, which are essential for deepening our understanding of physical processes and predicting future responses.
3 code implementations • 7 Jun 2021 • Hao Xu, Nianjin Ye, Guanghui Liu, Bing Zeng, Shuaicheng Liu
Data association is important in the point cloud registration.
no code implementations • 31 May 2021 • Hao Xu, Dongxiao Zhang
In the framework, a preliminary result of potential terms provided by the deep learning-genetic algorithm is added into the loss function of the PINN as physical constraints to improve the accuracy of derivative calculation.
no code implementations • 31 May 2021 • Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang
Although deep-learning has been successfully applied in a variety of science and engineering problems owing to its strong high-dimensional nonlinear mapping capability, it is of limited use in scientific knowledge discovery.
no code implementations • 3 Apr 2021 • Rui Song, Fausto Giunchiglia, Ke Zhao, Hao Xu
The complexity and non-Euclidean structure of graph data hinder the development of data augmentation methods similar to those in computer vision.
1 code implementation • ICCV 2021 • Hao Xu, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, Bing Zeng
On the other hand, previous global feature based approaches can utilize the entire point cloud for the registration, however they ignore the negative effect of non-overlapping points when aggregating global features.
no code implementations • 20 Feb 2021 • Zihan Li, Chen Li, YuDong Yao, Jinghua Zhang, Md Mamunur Rahaman, Hao Xu, Frank Kulwa, Bolin Lu, Xuemin Zhu, Tao Jiang
EMDS-5 can realize to evaluate image preprocessing, image segmentation, feature extraction, image classification and image retrieval functions.
no code implementations • 26 Jan 2021 • Hao Xu, Lei Zhang, Elaine Sun, Chih-Lin I
In this paper, Blockchain-enabled Radio Access Networks (BE-RAN) is proposed as a novel decentralized RAN architecture to facilitate enhanced security and privacy on identification and authentication.
Cryptography and Security Distributed, Parallel, and Cluster Computing Networking and Internet Architecture
no code implementations • 24 Nov 2020 • Hao Xu, Dongxiao Zhang, Nanzhe Wang
Our proposed algorithm is also able to discover PDEs with high-order derivatives or heterogeneous parameters accurately with sparse and noisy data.
no code implementations • 19 Nov 2020 • Qiang Shen, Stefano Teso, Wanyi Zhang, Hao Xu, Fausto Giunchiglia
Second, existing models typically assume that context is objective, whereas in most applications context is best viewed from the user's perspective.
1 code implementation • 29 Oct 2020 • Hao Xu, Shengqi Sang, Peizhen Bai, Laurence Yang, Haiping Lu
Heterogeneous graph representation learning aims to learn low-dimensional vector representations of different types of entities and relations to empower downstream tasks.
no code implementations • 12 Sep 2020 • Ze Cheng, Juncheng Li, Chenxu Wang, Jixuan Gu, Hao Xu, Xinjian Li, Florian Metze
In this paper, we provide a theoretical explanation that low total correlation of sampled representation cannot guarantee low total correlation of the mean representation.
1 code implementation • 10 Aug 2020 • Xiaoxian Tang, Hao Xu
For three typical sets of small reaction networks (networks with two reactions, one irreversible and one reversible reaction, or two reversible-reaction pairs), we completely answer the challenging question: what is the smallest subset of all multistable networks such that any multistable network outside of the subset contains either more species or more reactants than any network in this subset?
1 code implementation • 5 Jul 2020 • Hao Xu, Ka Hei Hui, Chi-Wing Fu, Hao Zhang
To start, we reformulate tiling as a graph problem by modeling candidate tile locations in the target shape as graph nodes and connectivity between tile locations as edges.
no code implementations • 16 May 2020 • Hao Xu, Dongxiao Zhang, Junsheng Zeng
Next, genetic algorithm is utilized to discover the form of PDEs and corresponding coefficients with an incomplete candidate library.
no code implementations • LREC 2020 • Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan
We present a multimodal corpus for sentiment analysis based on the existing Switchboard-1 Telephone Speech Corpus released by the Linguistic Data Consortium.
1 code implementation • 28 Jan 2020 • Hao Xu, Shengqi Sang, Haiping Lu
The use of drug combinations often leads to polypharmacy side effects (POSE).
Ranked #1 on Pose Prediction on SUN-Mem
no code implementations • 21 Jan 2020 • Hao Xu, Haibin Chang, Dongxiao Zhang
In the proposed framework, a deep neural network that is trained with available data of a physical problem is utilized to generate meta-data and calculate derivatives, and the genetic algorithm is then employed to discover the underlying PDE.
no code implementations • 28 Sep 2019 • Hao Xu
However, current mainstream content popularity prediction methods only use the number of downloads and shares or the distribution of user interests, which do not consider important time and geographic location information in mobile social networks, and all of data is from OSN which is not same as MSN.
no code implementations • 25 Sep 2019 • Ze Cheng, Juncheng B Li, Chenxu Wang, Jixuan Gu, Hao Xu, Xinjian Li, Florian Metze
In the problem of unsupervised learning of disentangled representations, one of the promising methods is to penalize the total correlation of sampled latent vari-ables.
no code implementations • 13 Aug 2019 • Hao Xu, Haibin Chang, Dongxiao Zhang
However, prior to achieving this goal, major challenges remain to be resolved, including learning PDE under noisy data and limited discrete data.
no code implementations • 2 May 2019 • Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani, Hanif Livani, Lei Yang, Hao Xu
In this paper, a biologically-inspired adaptive intelligent secondary controller is developed for microgrids to tackle system dynamics uncertainties, faults, and/or disturbances.
no code implementations • Transportation Research Record, v 2672, n 45, p 106-114, 2018 • Jianqing Wu, Hao Xu, Yuan Sun, Jianying Zheng, and Rui Yue
Background filtering is the preprocessing step to obtain the HRMTD of different roadway users from roadside LiDAR data.
no code implementations • 29 Nov 2018 • Jiajun Duan, Zhehan Yi, Di Shi, Hao Xu, Zhiwei Wang
Conventional control strategies usually produce large disturbances to buses during charging and discharging (C&D) processes of UCs, which significantly degrades the power quality and system performance, especially under fast C&D modes.
no code implementations • 27 Sep 2018 • Shuqian Ye, Yanheng Xu, Jiechun Liang, Hao Xu, Shuhong Cai, Shixin Liu, Xi Zhu
In this work we developed a new representation of the chemical information for the machine learning models, with benefits from both the real space (R-space) and energy space (K-space).
no code implementations • 25 Nov 2017 • Siyang Li, Xiangxin Zhu, Qin Huang, Hao Xu, C. -C. Jay Kuo
When supervising an object detector with weakly labeled data, most existing approaches are prone to trapping in the discriminative object parts, e. g., finding the face of a cat instead of the full body, due to lacking the supervision on the extent of full objects.
no code implementations • 31 Mar 2016 • Qin Huang, Chunyang Xia, Wenchao Zheng, Yuhang Song, Hao Xu, C. -C. Jay Kuo
Semantic segmentation is critical to image content understanding and object localization.
no code implementations • 30 Jul 2013 • Jingdong Wang, Hao Xu, Xian-Sheng Hua, Shipeng Li
We formulate this problem as finding a few image exemplars to represent the image set semantically and visually, and solve it in a hybrid way by exploiting both visual and textual information associated with images.