no code implementations • 7 May 2024 • Jonathan Wilder Lavington, Ke Zhang, Vasileios Lioutas, Matthew Niedoba, Yunpeng Liu, Dylan Green, Saeid Naderiparizi, Xiaoxuan Liang, Setareh Dabiri, Adam Ścibior, Berend Zwartsenberg, Frank Wood
Moreover, because of the high variability between different problems presented in different autonomous systems, these simulators need to be easy to use, and easy to modify.
no code implementations • 30 Apr 2024 • Dylan Green, William Harvey, Saeid Naderiparizi, Matthew Niedoba, Yunpeng Liu, Xiaoxuan Liang, Jonathan Lavington, Ke Zhang, Vasileios Lioutas, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood
Current state-of-the-art methods for video inpainting typically rely on optical flow or attention-based approaches to inpaint masked regions by propagating visual information across frames.
1 code implementation • 29 Apr 2024 • Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen
Overall, we hope this survey provides the research community with a comprehensive overview of the advancements in MTL from its inception in 1997 to the present in 2023.
1 code implementation • 12 Mar 2024 • Xiaoda Wang, Yuan Tang, Tengda Guo, Bo Sang, Jingji Wu, Jian Sha, Ke Zhang, Jiang Qian, Mingjie Tang
This variety poses a challenge for end-users in terms of mastering different engine APIs.
1 code implementation • 5 Mar 2024 • Ke Zhang, Dandan Zhu, Qiuhan Xu, Hao Zhou, Ce Zheng
Agents share Q-value network periodically during the training process.
no code implementations • 12 Feb 2024 • Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Ścibior, Berend Zwartsenberg, Frank Wood
Score function estimation is the cornerstone of both training and sampling from diffusion generative 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.
no code implementations • 9 Jan 2024 • Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang
Behemoth graphs are often fragmented and separately stored by multiple data owners as distributed subgraphs in many realistic applications.
1 code implementation • 5 Dec 2023 • Zhengmao Ye, Dengchun Li, Jingqi Tian, Tingfeng Lan, Jie Zuo, Lei Duan, Hui Lu, Yexi Jiang, Jian Sha, Ke Zhang, Mingjie Tang
Transformer-based large language models (LLMs) have demonstrated outstanding performance across diverse domains, particularly when fine-turned for specific domains.
1 code implementation • NeurIPS 2023 • Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang
Additionally, we introduce an auto-switching function that enables the preconditioning matrix to switch dynamically between Stochastic Gradient Descent (SGD) and the adaptive optimizer.
no code implementations • 15 Nov 2023 • Junyi Bian, Xiaolei Qin, Wuhe Zou, Mengzuo Huang, Congyi Luo, Ke Zhang, Weidong Zhang
To facilitate this, we propose a search strategy to construct reasoning labels for training the table reasoner.
no code implementations • 13 Sep 2023 • Ke Zhang, Neman Abdoli, Patrik Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen Moore, Robert S. Mannel, Yuchen Qiu
To address this clinical challenge, the purpose of this study is to develop a novel image marker to achieve high accuracy response prediction of the NACT at an early stage.
no code implementations • ICCV 2023 • Tao Tu, Shun-Po Chuang, Yu-Lun Liu, Cheng Sun, Ke Zhang, Donna Roy, Cheng-Hao Kuo, Min Sun
The results demonstrate that ImGeoNet outperforms the current state-of-the-art multi-view image-based method, ImVoxelNet, on all three datasets in terms of detection accuracy.
Ranked #24 on 3D Object Detection on ScanNetV2
1 code implementation • 4 Aug 2023 • Xuefeng Hu, Ke Zhang, Lu Xia, Albert Chen, Jiajia Luo, Yuyin Sun, Ken Wang, Nan Qiao, Xiao Zeng, Min Sun, Cheng-Hao Kuo, Ram Nevatia
Large-scale Pre-Training Vision-Language Model such as CLIP has demonstrated outstanding performance in zero-shot classification, e. g. achieving 76. 3% top-1 accuracy on ImageNet without seeing any example, which leads to potential benefits to many tasks that have no labeled data.
no code implementations • 1 Jul 2023 • Shuzhe Chen, Li Li, Zhichao Lin, Ke Zhang, Ying Gong, Lu Wang, Xu Wu, Maokun Li, Yuanlin Song, Fan Yang, Shenheng Xu
A simple convolutional neural network is used for classification.
1 code implementation • 25 May 2023 • Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang
Deep Neural Networks (DNNs) generalization is known to be closely related to the flatness of minima, leading to the development of Sharpness-Aware Minimization (SAM) for seeking flatter minima and better generalization.
no code implementations • 13 May 2023 • Ke Zhang, Yan Yang, Jun Yu, Hanliang Jiang, Jianping Fan, Qingming Huang, Weidong Han
To address this limitation, we propose a unified Med-VLP framework based on Multi-task Paired Masking with Alignment (MPMA) to integrate the cross-modal alignment task into the joint image-text reconstruction framework to achieve more comprehensive cross-modal interaction, while a Global and Local Alignment (GLA) module is designed to assist self-supervised paradigm in obtaining semantic representations with rich domain knowledge.
no code implementations • 2 May 2023 • Ke Zhang
In this track, Super Network builds a search space based on ViT-Base.
no code implementations • 24 Apr 2023 • Ke Zhang
Therefore, in order to get excess return from mutual fund industry, we use quantitative way to build the sparse portfolio that take advantage of favorite stocks by mutual fund in China A market.
no code implementations • 4 Apr 2023 • Qinlong Wang, Bo Sang, HaiTao Zhang, Mingjie Tang, Ke Zhang
The resource configuration of a job deeply affect this job's performance (e. g., training throughput, resource utilization, and completion rate).
no code implementations • 29 Mar 2023 • Ke Zhang
Our result shows adjust factors by MAXFLAT volatility model have better performance in both large cap and small cap universe than original factors or other risk adjust factors in China A share.
no code implementations • 28 Mar 2023 • Neman Abdoli, Ke Zhang, Patrik Gilley, Xuxin Chen, Youkabed Sadri, Theresa C. Thai, Lauren E. Dockery, Kathleen Moore, Robert S. Mannel, Yuchen Qiu
2D and 3D tumor features are widely used in a variety of medical image analysis tasks.
no code implementations • 12 Jan 2023 • Ke Zhang, Xiahai Zhuang
Curating a large scale fully-annotated dataset can be both labour-intensive and expertise-demanding, especially for medical images.
no code implementations • 8 Jan 2023 • Cheng-Yen Yang, Jiajia Luo, Lu Xia, Yuyin Sun, Nan Qiao, Ke Zhang, Zhongyu Jiang, Jenq-Neng Hwang
By adding a camera parameter branch, any in-the-wild 2D annotations can be fed into our pipeline to boost the training diversity and the 3D poses can be implicitly learned by reprojecting back to 2D.
Ranked #68 on 3D Human Pose Estimation on Human3.6M
no code implementations • 20 Dec 2022 • YuQi Yang, Songyun Yang, Jiyang Xie. Zhongwei Si, Kai Guo, Ke Zhang, Kongming Liang
We adopt a multi-head architecture with multiple prediction heads (i. e., classifiers) to obtain predictions from different depths in the DNNs and introduce shallow information for the UI.
1 code implementation • 20 Dec 2022 • Liang Ma, Shuyang Cao, Robert L. Logan IV, Di Lu, Shihao Ran, Ke Zhang, Joel Tetreault, Alejandro Jaimes
The proliferation of automatic faithfulness metrics for summarization has produced a need for benchmarks to evaluate them.
no code implementations • 6 Nov 2022 • Junyi Qiu, Lei LI, Sihan Wang, Ke Zhang, Yinyin Chen, Shan Yang, Xiahai Zhuang
We therefore conducted extensive experiments to investigate the performance of the proposed method in dealing with such complex combinations of different CMR sequences.
1 code implementation • 25 Oct 2022 • Hossein Rajaby Faghihi, Bashar Alhafni, Ke Zhang, Shihao Ran, Joel Tetreault, Alejandro Jaimes
This paper presents CrisisLTLSum, the largest dataset of local crisis event timelines available to date.
no code implementations • 21 Jun 2022 • Xuxin Chen, Ke Zhang, Neman Abdoli, Patrik W. Gilley, Ximin Wang, Hong Liu, Bin Zheng, Yuchen Qiu
For this purpose, we employ local Transformer blocks to separately learn patch relationships within four mammograms acquired from two-view (CC/MLO) of two-side (right/left) breasts.
no code implementations • 18 Jun 2022 • Ke Zhang, Xiahai Zhuang
To address the challenge, we propose a deep compatible learning (DCL) framework, which trains a single multi-label segmentation network using images with only partial structures annotated.
no code implementations • NAACL 2022 • Vivian Lai, Alison Smith-Renner, Ke Zhang, Ruijia Cheng, Wenjuan Zhang, Joel Tetreault, Alejandro Jaimes
Automatic summarization methods are efficient but can suffer from low quality.
1 code implementation • 5 Jun 2022 • Ke Zhang, Xiahai Zhuang
To tackle this problem, we propose a new scribble-guided method for cardiac segmentation, based on the Positive-Unlabeled (PU) learning framework and global consistency regularization, and termed as ShapePU.
no code implementations • 18 Apr 2022 • Yanchao Yuan, Cancheng Li, Lu Xu, Ke Zhang, Yang Hua, Jicong Zhang
Test results show that the proposed method with dice loss function yields a Dice value of 0. 820, an IoU of 0. 701, Acc of 0. 969, and modified Hausdorff distance (MHD) of 1. 43 for 30 vulnerable cases of plaques, it outperforms some of the conventional CNN-based methods on these metrics.
no code implementations • 15 Mar 2022 • Junwei Yang, Ke Zhang, Zhaolin Cui, Jinming Su, Junfeng Luo, Xiaolin Wei
On the other hand, InsCon introduces the pull and push of cell-instance, which utilizes cell consistency to enhance fine-grained feature representation for precise boundary localization.
no code implementations • 13 Mar 2022 • Ke Zhang, Jin Fan, Shaoli Huang, Yongliang Qiao, Xiaofeng Yu, Feiwei Qin
We innovatively propose a cross distillation module to provide additional supervision to alleviate the noise problem, and propose a collaborative ensemble module to overcome the target conflict problem.
1 code implementation • CVPR 2022 • Ke Zhang, Xiahai Zhuang
To address the difficulties, we propose a new framework for scribble learning-based medical image segmentation, which is composed of mix augmentation and cycle consistency and thus is referred to as CycleMix.
Ranked #3 on Semantic Segmentation on ACDC Scribbles
no code implementations • 2 Mar 2022 • Fan Jin, Ke Zhang, Yipan Huang, Yifei Zhu, Baiping Chen
As industrial systems become more complex and monitoring sensors for everything from surveillance to our health become more ubiquitous, multivariate time series prediction is taking an important place in the smooth-running of our society.
no code implementations • 25 Jan 2022 • Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
This study aims to develop a novel computer-aided diagnosis (CAD) scheme for mammographic breast mass classification using semi-supervised learning.
no code implementations • 19 Jan 2022 • Yue Ruan, Han-Hung Lee, Yiming Zhang, Ke Zhang, Angel X. Chang
Text-to-shape retrieval is an increasingly relevant problem with the growth of 3D shape data.
no code implementations • 8 Oct 2021 • Ke Zhang, Sihong Chen, Qi Ju, Yong Jiang, Yucong Li, Xin He
The graph network that is established with patches as the nodes can maximize the mutual learning of similar objects.
1 code implementation • NeurIPS 2021 • Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu Ming Yiu
Graphs have been widely used in data mining and machine learning due to their unique representation of real-world objects and their interactions.
1 code implementation • ACL (GEM) 2021 • Eleftheria Briakou, Sweta Agrawal, Ke Zhang, Joel Tetreault, Marine Carpuat
However, in style transfer papers, we find that protocols for human evaluations are often underspecified and not standardized, which hampers the reproducibility of research in this field and progress toward better human and automatic evaluation methods.
no code implementations • NAACL 2021 • Eleftheria Briakou, Di Lu, Ke Zhang, Joel Tetreault
We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese, French, and Italian.
no code implementations • 27 May 2021 • Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
Deep learning has received extensive research interest in developing new medical image processing algorithms, and deep learning based models have been remarkably successful in a variety of medical imaging tasks to support disease detection and diagnosis.
1 code implementation • 12 May 2021 • Jinming Su, Chao Chen, Ke Zhang, Junfeng Luo, Xiaoming Wei, Xiaolin Wei
Next, multi-level structural constraints are used to improve the perception of lanes.
Ranked #29 on Lane Detection on CULane
1 code implementation • 8 Apr 2021 • Eleftheria Briakou, Di Lu, Ke Zhang, Joel Tetreault
We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese, French, and Italian.
no code implementations • 20 Mar 2021 • Ke Zhang, Hanbo Ying, Hong-Ning Dai, Lin Li, Yuangyuang Peng, Keyi Guo, Hongfang Yu
Deep Neural Networks (DNNs) have shown great success in completing complex tasks.
no code implementations • 29 Jan 2021 • Arthur D. Bosman, Felipe Alarcon, Ke Zhang, Edwin A. Bergin
To elevate the volatile C/O ratio, additional carbon has to be released into the gas to enable an equilibrium chemistry under oxygen-poor conditions.
Earth and Planetary Astrophysics Solar and Stellar Astrophysics
no code implementations • 18 Jan 2021 • Zhaoxi Chen, Qing Xu, Ke Zhang, Wing-Han Wong, De-Long Zhang, Edwin Yue-Bun Pun, Cheng Wang
Lithium niobate on insulator (LNOI) is an emerging photonic platform with great promises for future optical communications, nonlinear optics and microwave photonics.
Optics Applied Physics
no code implementations • 2 Dec 2020 • Dionysios Antypas, Oleg Tretiak, Ke Zhang, Antoine Garcon, Gilad Perez, Mikhail G. Kozlov, Stephan Schiller, Dmitry Budker
We discuss the WReSL experiment, report on progress towards improved measurements of rapid fundamental constant variations, and discuss the planned extension of the work to molecules, in which rapid variations of the nuclear mass can be sensitively searched for.
Atomic Physics High Energy Physics - Phenomenology
no code implementations • 17 Nov 2020 • Yueyue Dai, Du Xu, Ke Zhang, Sabita Maharjan, Yan Zhang
In this paper, we integrate DRL and permissioned blockchain into vehicular networks for intelligent and secure content caching.
no code implementations • 17 Nov 2020 • Yueyue Dai, Ke Zhang, Sabita Maharjan, Yan Zhang
Then, we formulate the stochastic computation offloading and resource allocation problem to minimize the long-term energy efficiency.
no code implementations • 17 Nov 2020 • Yueyue Dai, Ke Zhang, Sabita Maharjan, Yan Zhang
In this paper, we utilize DRL to design an optimal computation offloading and resource allocation strategy for minimizing system energy consumption.
no code implementations • 17 Nov 2020 • Ke Zhang, Xiahai Zhuang
We embed the orientation recognition network in a Cardiac MRI Orientation Adjust Tool, i. e., CMRadjustNet.
no code implementations • 17 Nov 2020 • Yuncheng Zhou, Ke Zhang, Xinzhe Luo, Sihan Wang, Xiahai Zhuang
Pathological area segmentation in cardiac magnetic resonance (MR) images plays a vital role in the clinical diagnosis of cardiovascular diseases.
no code implementations • 17 Nov 2020 • Yunlong Lu, Xiaohong Huang, Ke Zhang, Sabita Maharjan, Yan Zhang
In this paper, we introduce the Digital Twin Wireless Networks (DTWN) by incorporating digital twins into wireless networks, to migrate real-time data processing and computation to the edge plane.
no code implementations • 28 Sep 2020 • Carl Yang, Haonan Wang, Ke Zhang, Lichao Sun
Many data mining and analytical tasks rely on the abstraction of networks (graphs) to summarize relational structures among individuals (nodes).
1 code implementation • 9 Sep 2020 • Ke Zhang, Yukun Su, Xiwang Guo, Liang Qi, Zhenbing Zhao
Facial attribute editing has mainly two objectives: 1) translating image from a source domain to a target one, and 2) only changing the facial regions related to a target attribute and preserving the attribute-excluding details.
1 code implementation • 1 May 2020 • Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun
Many data mining and analytical tasks rely on the abstraction of networks (graphs) to summarize relational structures among individuals (nodes).
no code implementations • 13 Feb 2020 • Ke Zhang, Meng Li, Zhengchao Zhang, Xi Lin, Fang He
Multi-vehicle routing problem with soft time windows (MVRPSTW) is an indispensable constituent in urban logistics distribution systems.
no code implementations • 17 Jan 2020 • Zhenbing Zhao, Hongyu Qi, Yincheng Qi, Ke Zhang, Yongjie Zhai, Wenqing Zhao
In this paper, an automatic detection model called Automatic Visual Shape Clustering Network (AVSCNet) for pin-missing defect is constructed.
1 code implementation • 25 Dec 2019 • Ke Zhang, Yurong Guo, Xinsheng Wang, Dongliang Chang, Zhenbing Zhao, Zhanyu Ma, Tony X. Han
However, during the training of the deep convolutional neural network, the value of NLLR is not always positive or negative, which severely affects the convergence of NLLR.
no code implementations • 13 Dec 2019 • Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes
Given the large amounts of posts, a major challenge is identifying the information that is useful and actionable.
no code implementations • 29 Nov 2019 • Jing Xiao, Hualin Zhan, Zaiquan Xu, Xiao Wang, Ke Zhang, Zhiyuan Xiong, George P. Simon, Zhe Liu, Dan Li
Multilayered graphene-based nanoporous membranes with electrolyte incorporated between individual sheets is a unique nano-heterostructure system in which nanoconfined electrons in graphene and ions confined in between sheets are intimately coupled throughout the entire membrane.
Mesoscale and Nanoscale Physics Materials Science Soft Condensed Matter Applied Physics Chemical Physics
no code implementations • 17 Sep 2019 • Junyi Bian, Baojun Lin, Ke Zhang, Zhaohui Yan, Hong Tang, Yonghe Zhang
Here, we denote a concept of Controllable Length Control (CLC) for the trade-off between length control capacity and semantic accuracy of the language generation model.
no code implementations • 31 Jul 2019 • Ke Zhang, Xinsheng Wang, Yurong Guo, Zhenbing Zhao, Zhanyu Ma, Tony X. Han
A lot of studies of image classification based on deep convolutional neural network focus on the network structure to improve the image classification performance.
1 code implementation • 11 Jun 2019 • Junyi Bian, Baojun Lin, Ke Zhang
Based on the idea of making the magnification of function curve without losing its fidelity, we proposed a function based dictionary on sparse representation for super resolution, called hybrid function sparse representation (HFSR).
no code implementations • ECCV 2018 • Ke Zhang, Kristen Grauman, Fei Sha
The key idea is to complement the discriminative losses with another loss which measures if the predicted summary preserves the same information as in the original video.
no code implementations • 23 Aug 2018 • Michele Polese, Rittwik Jana, Velin Kounev, Ke Zhang, Supratim Deb, Michele Zorzi
Then, we will describe how the controllers can be used to run ML algorithms to predict the number of users in each base station, and a use case in which these predictions are exploited by a higher-layer application to route vehicular traffic according to network Key Performance Indicators (KPIs).
no code implementations • 26 May 2018 • Ke Zhang, Na Liu, Xingfang Yuan, Xinyao Guo, Ce Gao, Zhenbing Zhao, Zhanyu Ma
Then, we fine-tune the ResNets or the RoR on the target age datasets to extract the global features of face images.
Ranked #4 on Age And Gender Classification on Adience Age (using extra training data)
no code implementations • 5 Feb 2018 • João Pedro Pedroso, Alpar Vajk Kramer, Ke Zhang
This paper describes a problem arising in sea exploration, where the aim is to schedule the expedition of a ship for collecting information about the resources on the seafloor.
no code implementations • 9 Oct 2017 • Ke Zhang, Ce Gao, Liru Guo, Miao Sun, Xingfang Yuan, Tony X. Han, Zhenbing Zhao, Baogang Li
In this paper, we propose a new CNN based method for age group and gender estimation leveraging Residual Networks of Residual Networks (RoR), which exhibits better optimization ability for age group and gender classification than other CNN architectures. Moreover, two modest mechanisms based on observation of the characteristics of age group are presented to further improve the performance of age estimation. In order to further improve the performance and alleviate over-fitting problem, RoR model is pre-trained on ImageNet firstly, and then it is fune-tuned on the IMDB-WIKI-101 data set for further learning the features of face images, finally, it is used to fine-tune on Adience data set.
Ranked #6 on Age And Gender Classification on Adience Age (using extra training data)
no code implementations • 1 Oct 2017 • Ke Zhang, Liru Guo, Ce Gao, Zhenbing Zhao
The Residual Networks of Residual Networks (RoR) exhibits excellent performance in the image classification task, but sharply increasing the number of feature map channels makes the characteristic information transmission incoherent, which losses a certain of information related to classification prediction, limiting the classification performance.
1 code implementation • 9 Aug 2016 • Ke Zhang, Miao Sun, Tony X. Han, Xingfang Yuan, Liru Guo, Tao Liu
This paper proposes a novel residual-network architecture, Residual networks of Residual networks (RoR), to dig the optimization ability of residual networks.
Ranked #16 on Image Classification on SVHN
1 code implementation • 26 May 2016 • Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman
We propose a novel supervised learning technique for summarizing videos by automatically selecting keyframes or key subshots.
no code implementations • CVPR 2016 • Ke Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman
Video summarization has unprecedented importance to help us digest, browse, and search today's ever-growing video collections.
no code implementations • 16 Oct 2012 • Konstantinos Pelechrinis, Prashant Krishnamurthy, Ke Zhang
LBSNs offer a number of conveniences to its participants, such as - but not limited to - a list of places in the vicinity of a user, recommendations for an area never explored before provided by other peers, tracking of friends, monetary rewards in the form of special deals from the venues visited as well as a cheap way of advertisement for the latter.
Social and Information Networks Cryptography and Security