no code implementations • FL4NLP (ACL) 2022 • Huili Chen, Jie Ding, Eric Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
Inspired by Bayesian hierarchical models, we develop ActPerFL, a self-aware personalized FL method where each client can automatically balance the training of its local personal model and the global model that implicitly contributes to other clients’ training.
no code implementations • EMNLP 2021 • Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu, Shu Zhao
Cross-domain Named Entity Recognition (NER) transfers the NER knowledge from high-resource domains to the low-resource target domain.
no code implementations • 23 Jun 2022 • Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang
Therefore, guaranteeing the robustness of hard examples is crucial for improving the final robustness of the model.
no code implementations • 21 Jun 2022 • Wei Liu, Rui Wang, Tao Zhang, Kaiwen Li, Wenhua Li, Hisao Ishibuchi
Multi-objective orienteering problems (MO-OPs) are classical multi-objective routing problems and have received a lot of attention in the past decades.
1 code implementation • CVPR 2022 • Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao
In this paper, we empirically prove that this problem is associated with the mixup of the activation values between less discriminative foreground regions and the background.
no code implementations • 25 Apr 2022 • Wei Liu, Tao Zhang, Rui Wang, Kaiwen Li, Wenhua Li, Kang Yang
A dynamic pointer network (DYPN) is introduced as the TSP solver, which takes city locations as inputs and immediately outputs a permutation of nodes.
no code implementations • 25 Apr 2022 • Kaiwen Li, Tao Zhang, Rui Wang, Ling Wang
The model is trained using a deep reinforcement learning method offline, and is used to optimize the UAV routing problem online.
no code implementations • 17 Apr 2022 • Huili Chen, Jie Ding, Eric Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
In the context of personalized federated learning (FL), the critical challenge is to balance local model improvement and global model tuning when the personal and global objectives may not be exactly aligned.
no code implementations • 27 Mar 2022 • Tao Zhang
In this paper, we propose a free-moving hypothesis plane method for dynamic and non-uniform sampling in a wide depth range to build the cost volume, which not only greatly reduces the number of planes but also finers sampling, for both of reducing computational cost and improving accuracy, named Non-Uniform Cost Volume.
no code implementations • 27 Mar 2022 • Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang song, Tao Zhang, Ji-Rong Wen
As the core technique of online recruitment platforms, person-job fit can improve hiring efficiency by accurately matching job positions with qualified candidates.
1 code implementation • CVPR 2022 • Tao Zhang, Shiqing Wei, Shunping Ji
In this paper, we introduce a novel contour-based method, named E2EC, for high-quality instance segmentation.
Ranked #59 on
Instance Segmentation
on COCO test-dev
no code implementations • 25 Feb 2022 • Zongbo Hao, Tao Zhang, Mingwang Chen, Kaixu Zhou
Known solutions include the enhancement of training data and the increase of rotation invariance by globally merging the rotation equivariant features.
no code implementations • 1 Feb 2022 • Jie Ding, Eric Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang
Federated learning (FL) has been developed as a promising framework to leverage the resources of edge devices, enhance customers' privacy, comply with regulations, and reduce development costs.
no code implementations • 31 Jan 2022 • Van Sy Mai, Richard J. La, Tao Zhang, Abdella Battou
This paper presents a novel framework and a distributed algorithm that can enable ANs and CNs to autonomously "cooperate" with each other to dynamically negotiate their local QoS budgets and to collectively meet E2E QoS goals by sharing only their estimates of the global constraint functions, without disclosing their local decision variables.
no code implementations • 29 Jan 2022 • Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang
Further, we propose Scale-Invariant (SI) adversarial defense mechanism based on the cosine angle matrix, which can be embedded into the popular adversarial defenses.
no code implementations • 16 Jan 2022 • Tao Zhang, Quanyan Zhu
A revelation-principle-like design regime is established to show that the persuasion with belief hierarchies can be fully characterized by correlating the randomization of the agents' local BPD mechanisms with the persuasion as a direct recommendation of the future promises.
no code implementations • 8 Dec 2021 • Jarred Barber, Yifeng Fan, Tao Zhang
We introduce a variant of the speaker localization problem, which we call device arbitration.
no code implementations • 29 Nov 2021 • Mengting Xu, Tao Zhang, Daoqiang Zhang
However, the defense methods that have good effect in natural images may not be suitable for medical diagnostic tasks.
no code implementations • 16 Nov 2021 • Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu
Then, we transfer the pre-trained graph encoder to initialize the node embeddings on the target domain, which benefits the fine-tuning of the single domain recommender system on the target domain.
no code implementations • 25 Sep 2021 • Xutong Mu, Yulong Shen, Ke Cheng, Xueli Geng, Jiaxuan Fu, Tao Zhang, Zhiwei Zhang
In this paper, we propose FedProc: prototypical contrastive federated learning, which is a simple and effective federated learning framework.
1 code implementation • ICCV 2021 • Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang
Virtual 3D try-on can provide an intuitive and realistic view for online shopping and has a huge potential commercial value.
no code implementations • 7 May 2021 • Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, SungJun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, ZiRui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, Jose Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021.
no code implementations • 7 May 2021 • Tao Zhang, Quanyan Zhu
We propose a direct information design approach that incentivizes each agent to select the signal sent by the principal, such that the design process avoids the predictions of the agents' strategic selection behaviors.
no code implementations • 23 Apr 2021 • Cece Jin, Yuanqi Chen, Ge Li, Tao Zhang, Thomas Li
This paper aims to verify the existence of aliasing in TAL methods and investigate utilizing low pass filters to solve this problem by inhibiting the high-frequency band.
1 code implementation • 5 Mar 2021 • Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang
Deep learning models (with neural networks) have been widely used in challenging tasks such as computer-aided disease diagnosis based on medical images.
no code implementations • 19 Feb 2021 • Baohua Sun, Tao Zhang, Jiapeng Su, Hao Sha
Object detection is widely used on embedded devices.
no code implementations • 14 Feb 2021 • Tao Zhang, Quanyan Zhu
An obedient principle is established which states that it is without loss of generality to focus on the direct information design when the information design incentivizes each agent to select the signal sent by the designer, such that the design process avoids the predictions of the agents' strategic selection behaviors.
no code implementations • 11 Feb 2021 • Kaiwen Li, Tao Zhang, Rui Wang Yuheng Wang, Yi Han
This paper introduces a new deep learning approach to approximately solve the Covering Salesman Problem (CSP).
1 code implementation • ICCV 2021 • Tao Zhang, Ying Fu, Cheng Li
On the other hand, we propose an accurate HSI noise model which matches the distribution of real data well and can be employed to synthesize realistic dataset.
no code implementations • 28 Dec 2020 • Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding
More specifically, we first do partial visual and tactile features extraction from the partial visual and tactile data, respectively, and encode the extracted features in modality-specific feature subspaces.
no code implementations • 24 Dec 2020 • Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang
A range of defense methods have been proposed to improve the robustness of neural networks on adversarial examples, among which provable defense methods have been demonstrated to be effective to train neural networks that are certifiably robust to the attacker.
no code implementations • 13 Oct 2020 • Yixin Gao, Noah D. Stein, Chieh-Chi Kao, Yunliang Cai, Ming Sun, Tao Zhang, Shiv Vitaladevuni
Since the WW model is trained with the AFE-processed audio data, its performance is sensitive to AFE variations, such as gain changes.
no code implementations • 9 Oct 2020 • Mengjun Ming, Rui Wang, Tao Zhang
This paper contributes to the treatment of extensive constraints in evolutionary many-constraint optimization through consideration of the relationships between pair-wise constraints.
no code implementations • 7 Oct 2020 • Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou
In this way, the impact of data correlation is relieved with the proposed feature selection scheme, and moreover, the privacy issue of data correlation in learning is guaranteed.
no code implementations • 25 Sep 2020 • Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang song, Tao Zhang, Ji-Rong Wen
Compared with pure text-based matching models, the proposed approach is able to learn better data representations from limited or even sparse interaction data, which is more resistible to noise in training data.
no code implementations • 25 Sep 2020 • Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu
A set of experiments on real-world and synthetic datasets show that our method is able to use unlabeled data to achieve a better trade-off between accuracy and discrimination.
no code implementations • 14 Sep 2020 • Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu
Extensive experiments show that our method is able to achieve fair semi-supervised learning, and reach a better trade-off between accuracy and fairness than fair supervised learning.
no code implementations • 16 Jul 2020 • Haoyin Zhou, Tao Zhang, Jagadeesan Jayender
We propose a fast PnP solution named R1PPnP to handle outliers by utilizing a soft re-weighting mechanism and the 1-point RANSAC scheme.
no code implementations • 2 Jul 2020 • Jinhua Liang, Tao Zhang, Guoqing Feng
Aiming at channel compression, a novel convolutional construction named compact convolution is proposed to embrace the progress in spatial convolution, channel grouping and pooling operation.
no code implementations • ACL 2020 • Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, Jun Zhao
Electronic Medical Records (EMRs) have become key components of modern medical care systems.
no code implementations • 27 Jun 2020 • Jiahua Dong, Yang Cong, Gan Sun, Tao Zhang, Xu Tang, Xiaowei Xu
Online metric learning has been widely exploited for large-scale data classification due to the low computational cost.
no code implementations • 1 Jun 2020 • Tao Zhang, Kengo Kato, David Ruppert
Specifically, we propose to estimate the conditional mode by minimizing the derivative of the estimated conditional quantile function defined by smoothing the linear quantile regression estimator, and develop two bootstrap methods, a novel pivotal bootstrap and the nonparametric bootstrap, for our conditional mode estimator.
Statistics Theory Methodology Statistics Theory
no code implementations • 13 Apr 2020 • Tao Zhang, Wei Li
On the ImageNet, accuracy is improved by 1. 25\%.
no code implementations • COLING 2020 • Tao Zhang, Congying Xia, Chun-Ta Lu, Philip Yu
Named entity typing (NET) is a classification task of assigning an entity mention in the context with given semantic types.
1 code implementation • 8 Dec 2019 • Weipeng Li, Xiaogang Yang, Ruitao Lu, Jiwei Fan, Tao Zhang, Chuan He
The experiment of trajectory estimation demonstrates the convergence of AdaTE, and the better robust to the biased prior statistics and the observation drift compared with EKF, UKF and sparse MAP.
Information Theory Robotics Systems and Control Systems and Control Information Theory G.3.13; J.2.7
no code implementations • 21 Nov 2019 • Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhenming Ding
To effectively benefit both visual and tactile modalities for object clustering, in this paper, we propose a deep Auto-Encoder-like Non-negative Matrix Factorization framework for visual-tactile fusion clustering.
no code implementations • 19 Nov 2019 • Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang
As a further optimization, we propose a density-adaptive regular-block (DARB) pruning that outperforms prior structured pruning work with high pruning ratio and decoding efficiency.
no code implementations • IJCNLP 2019 • Shuqing Bian, Wayne Xin Zhao, Yang song, Tao Zhang, Ji-Rong Wen
Furthermore, we extend the match network and implement domain adaptation in three levels, sentence-level representation, sentence-level match, and global match.
no code implementations • ICCV 2019 • Tao Zhang, Ying Fu, Lizhi Wang, Hua Huang
To solve the low spatial and/or temporal resolution problem which the conventional hypelrspectral cameras often suffer from, coded snapshot hyperspectral imaging systems have attracted more attention recently.
1 code implementation • IJCNLP 2019 • Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang song, Tao Zhang
Recently, a few methods take relation paths into consideration but pay less attention to the order of relations in paths which is important for reasoning.
Ranked #3 on
Link Prediction
on FB15k
(MR metric)
no code implementations • 21 Aug 2019 • Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu
So we propose a two step approach "Mask and Infill".
no code implementations • 24 Jul 2019 • Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender
The model is trained jointly in a multi-task learning setting.
1 code implementation • 7 Jul 2019 • Xiaole Zhao, Ying Liao, Tian He, Yulun Zhang, Yadong Wu, Tao Zhang
Most current image super-resolution (SR) methods based on convolutional neural networks (CNNs) use residual learning in network structural design, which favors to effective back propagation and hence improves SR performance by increasing model scale.
1 code implementation • 28 Jun 2019 • Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas Li, Ge Li
In recent years, memory-augmented neural networks(MANNs) have shown promising power to enhance the memory ability of neural networks for sequential processing tasks.
no code implementations • 14 Jun 2019 • Tao Zhang, Kun Zhu, Ekram Hossain
As an important component in SON, self-healing is defined as a network paradigm where the faults of target networks are mitigated or recovered by automatically triggering a series of actions such as detection, diagnosis and compensation.
no code implementations • 6 Jun 2019 • Kaiwen Li, Tao Zhang, Rui Wang
The solutions can be directly obtained by a simple forward calculation of the neural network; thereby, no iteration is required and the MOP can be always solved in a reasonable time.
no code implementations • 4 Apr 2019 • Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang
The task-specific classifiers are required to be homogeneous-structured to ease the parameter prediction, so the meta-learning approaches could only handle few-shot learning problems where the tasks share a uniform number of classes.
no code implementations • 28 Mar 2019 • Tao Zhang, Xing Wu, Meng Lin, Jizhong Han, Songlin Hu
Imbalanced data commonly exists in real world, espacially in sentiment-related corpus, making it difficult to train a classifier to distinguish latent sentiment in text data.
no code implementations • 18 Feb 2019 • Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang
Generative Adversarial Networks (GANs) are powerful tools for reconstructing Compressed Sensing Magnetic Resonance Imaging (CS-MRI).
no code implementations • 27 Jan 2019 • Yiteng Li, Tao Zhang, Shuyu Sun
Phase equilibrium calculation, also known as flash calculation, has been extensively applied in petroleum engineering, not only as a standalone application for separation process but also an integral component of compositional reservoir simulation.
no code implementations • 19 Jan 2019 • Zhao Xiaole, Huali Zhang, Hangfei Liu, Yun Qin, Tao Zhang, Xueming Zou
Single image super-resolution (SISR), especially that based on deep learning techniques, is an effective and promising alternative technique to improve the current spatial resolution of magnetic resonance (MR) images.
no code implementations • 15 Oct 2018 • Xiaole Zhao, Yulun Zhang, Tao Zhang, Xueming Zou
The proposed CSN model divides the hierarchical features into two branches, i. e., residual branch and dense branch, with different information transmissions.
Ranked #3 on
Super-Resolution
on IXI
no code implementations • 27 Sep 2018 • Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas Li, Ge Li
Processing sequential data with long term dependencies and learn complex transitions are two major challenges in many deep learning applications.
no code implementations • ECCV 2018 • Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang
Hyperspectral image (HSI) recovery from a single RGB image has attracted much attention, whose performance has recently been shown to be sensitive to the camera spectral sensitivity (CSS).
no code implementations • 17 Aug 2018 • Wenxue Cui, Tao Zhang, Shengping Zhang, Feng Jiang, WangMeng Zuo, Debin Zhao
To overcome this problem, in this paper, an intra prediction convolutional neural network (IPCNN) is proposed for intra prediction, which exploits the rich context of the current block and therefore is capable of improving the accuracy of predicting the current block.
no code implementations • 9 Jul 2018 • Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li
Weakly supervised temporal action detection is a Herculean task in understanding untrimmed videos, since no supervisory signal except the video-level category label is available on training data.
no code implementations • 23 Oct 2017 • Yu Cheng, Duo Wang, Pan Zhou, Tao Zhang
Methods of parameter pruning and quantization are described first, after that the other techniques are introduced.
no code implementations • 25 Jul 2017 • Changbo Fu, Xiaopeng Zhou, Xun Chen, Yunhua Chen, Xiangyi Cui, Deqing Fang, Karl Giboni, Franco Giuliani, Ke Han, Xingtao Huang, Xiangdong Ji, Yonglin Ju, Siao Lei, Shaoli Li, Huaxuan Liu, Jianglai Liu, Yugang Ma, Yajun Mao, Xiangxiang Ren, Andi Tan, Hongwei Wang, Jimin Wang, Meng Wang, Qiuhong Wang, Siguang Wang, Xuming Wang, Zhou Wang, Shiyong Wu, Mengjiao Xiao, Pengwei Xie, Binbin Yan, Yong Yang, Jianfeng Yue, Hongguang Zhang, Tao Zhang, Li Zhao, Ning Zhou
We report new searches for the solar axions and galactic axion-like dark matter particles, using the first low-background data from PandaX-II experiment at China Jinping Underground Laboratory, corresponding to a total exposure of about $2. 7\times 10^4$ kg$\cdot$day.
High Energy Physics - Experiment Solar and Stellar Astrophysics High Energy Physics - Phenomenology
1 code implementation • 22 Jun 2017 • Jingjia Huang, Nannan Li, Tao Zhang, Ge Li
Existing action detection algorithms usually generate action proposals through an extensive search over the video at multiple temporal scales, which brings about huge computational overhead and deviates from the human perception procedure.
no code implementations • 7 Aug 2016 • Shaohua Wan, Zhijun Chen, Tao Zhang, Bo Zhang, Kong-kat Wong
Recently significant performance improvement in face detection was made possible by deeply trained convolutional networks.
no code implementations • 20 Jul 2016 • Tao Zhang, Peer-Olaf Siebers, Uwe Aickelin
In this paper we investigate user learning in authoritative technology adoption by developing an agent-based model using the case of council-led smart meter deployment in the UK City of Leeds.
no code implementations • 20 Jul 2016 • Tao Zhang, Peer-Olaf Siebers, Uwe Aickelin
In this paper, we develop an agent-based model which integrates four important elements, i. e. organisational energy management policies/regulations, energy management technologies, electric appliances and equipment, and human behaviour, based on a case study, to simulate the energy consumption in office buildings.
no code implementations • 14 Jan 2016 • Tao Zhang, Quanyan Zhu
Privacy-preserving distributed machine learning becomes increasingly important due to the recent rapid growth of data.
no code implementations • 31 May 2013 • Tao Zhang, Peer-Olaf Siebers, Uwe Aickelin
In this paper, we develop an agent-based model which integrates four important elements, i. e. organisational energy management policies/regulations, energy management technologies, electric appliances and equipment, and human behaviour, to simulate the electricity consumption in office buildings.