no code implementations • 13 Dec 2022 • Ziyuan Yang, Yingyu Chen, Huijie Huangfu, Maosong Ran, Hui Wang, Xiaoxiao Li, Yi Zhang
To achieve this goal, in this paper, we propose Robust Split Federated Learning (RoS-FL) for U-shaped medical image networks, which is a novel hybrid learning paradigm of FL and SL.
no code implementations • 12 Dec 2022 • Hui Wang, Jialin Liu, Feng Li, Hao Ji, Bin Jia, Ziyou Gao
Numerical cases of Beijing Metro Line 9 verify the efficiency and effectiveness of our proposed model, and results show that: (1) when occurring a disruption event during peak hours, the impact on the normal timetable is greater, and passengers in the direction with fewer train services are more affected; (2) if passengers stranded at the terminal stations of disruption area are not transported in time, they will rapidly increase at a speed of more than 300 passengers per minute; (3) compared with the fixed shortest path, using the response vehicles reduces the total travel time about 7%.
no code implementations • 8 Nov 2022 • Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen
A range of experiments conducted on the VoxCeleb datasets demonstrate the superiority of the regularized DINO framework in speaker verification.
no code implementations • 8 Sep 2022 • Hui Wang, Jieren Cheng, Yichen Xu, Sirui Ni, Zaijia Yang, Jiangpeng Li
However, with wide applications of deep learning in robotic arms, there are new challenges such as the allocation of grasping computing power and the growing demand for security.
1 code implementation • 23 Jun 2022 • Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li
Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible conditional image generation from prior noise to real data, by introducing an independent noise-aware classifier to provide conditional gradient guidance at each time step of denoising process.
Ranked #1 on
Conditional Image Generation
on ImageNet 128x128
no code implementations • 22 Jun 2022 • Yunpeng Zhang, Zhengyou Wang, Shanna Zhuang, Hui Wang
Gait recognition, which can realize long-distance and contactless identification, is an important biometric technology.
1 code implementation • 14 Jun 2022 • Mingyang Hu, Fajie Yuan, Kevin K. Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding
Large-scale Protein Language Models (PLMs) have improved performance in protein prediction tasks, ranging from 3D structure prediction to various function predictions.
no code implementations • 10 Jun 2022 • Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen
Relevant recommendation is a special recommendation scenario which provides relevant items when users express interests on one target item (e. g., click, like and purchase).
no code implementations • 19 May 2022 • Jiahui Wang, Zhenyou Wang, Shanna Zhuang, Hui Wang
Temporal convolutions have been the paradigm of choice in action segmentation, which enhances long-term receptive fields by increasing convolution layers.
Ranked #1 on
Action Segmentation
on Breakfast
no code implementations • 29 Apr 2022 • Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, Buzhou Tang
It is a time-aware, event-aware and task-adaptive method with the following advantages: 1) modeling heterogeneous information and temporal information in a unified way and considering temporal irregular characteristics locally and globally respectively, 2) taking full advantage of correlations among different types of events via cross-event attention.
no code implementations • 7 Apr 2022 • Yutian Wang, Yuankun Xie, Kun Zhao, Hui Wang, Qin Zhang
In this paper, we propose a novel prosody disentangle method for prosodic Text-to-Speech (TTS) model, which introduces the vector quantization (VQ) method to the auxiliary prosody encoder to obtain the decomposed prosody representations in an unsupervised manner.
no code implementations • 2 Apr 2022 • Hui Wang, Yong Wang, Wan-Lei Zhao
For the graph construction, a two-stage graph diversification scheme is proposed, which makes a good trade-off between the efficiency and reachability for the search procedure that builds upon it.
1 code implementation • 25 Jan 2022 • Zhe Lin, Zike Yuan, Jieru Zhao, Wei zhang, Hui Wang, Yonghong Tian
Specifically, in the graph construction flow, we introduce buffer insertion, datapath merging, graph trimming and feature annotation techniques to transform HLS designs into graph-structured data, which encode both intra-operation micro-architectures and inter-operation interconnects annotated with switching activities.
1 code implementation • 25 Jan 2022 • Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang
As two important textual modalities in electronic health records (EHR), both structured data (clinical codes) and unstructured data (clinical narratives) have recently been increasingly applied to the healthcare domain.
no code implementations • 10 Nov 2021 • Dongran Yu, Bo Yang, Dayou Liu, Hui Wang, Shirui Pan
In recent years, neural systems have displayed highly effective learning ability and superior perception intelligence, but have been found to lack cognitive ability with effective reasoning.
no code implementations • 26 Oct 2021 • Wei Liu, K. T. Chau, Hui Wang, Tengbo Yang
This paper proposes and implements a meter-range wireless motor drive (WMD) system for promising applications of underground pipeline transportations or in-pipe robots.
1 code implementation • 13 Oct 2021 • Guochen Yu, Andong Li, Chengshi Zheng, Yinuo Guo, Yutian Wang, Hui Wang
Curriculum learning begins to thrive in the speech enhancement area, which decouples the original spectrum estimation task into multiple easier sub-tasks to achieve better performance.
no code implementations • 5 Sep 2021 • Guochen Yu, Yutian Wang, Hui Wang, Qin Zhang, Chengshi Zheng
After that, the second stage is applied to further suppress the residual noise components and estimate the clean phase by a complex spectral mapping network, which is a pure complex-valued network composed of complex 2D convolution/deconvolution and complex temporal-frequency attention blocks.
1 code implementation • 24 Jul 2021 • Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu
Federated learning (FL) is a machine learning field in which researchers try to facilitate model learning process among multiparty without violating privacy protection regulations.
no code implementations • 28 Jun 2021 • Hui Wang, Hanbin Zhao, Xi Li
In this paper, we propose a novel image process scheme called class-based expansion learning for image classification, which aims at improving the supervision-stimulation frequency for the samples of the confusing classes.
no code implementations • 12 Jun 2021 • Hui Wang, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen
Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in top-$N$ recommender systems, called \emph{HIN-based recommendation}.
no code implementations • 5 Jun 2021 • Hui Wang, Zongsheng Yue, Qian Zhao, Deyu Meng
Under this framework, the posterior of the latent clean image and blur kernel can be jointly estimated in an amortized inference fashion with DNNs, and the involved inference DNNs can be trained by fully considering the physical blur model, together with the supervision of data driven priors for the clean image and blur kernel, which is naturally led to by the evidence lower bound objective.
no code implementations • 13 May 2021 • Hui Wang, Mike Preuss, Aske Plaat
AlphaZero has achieved impressive performance in deep reinforcement learning by utilizing an architecture that combines search and training of a neural network in self-play.
no code implementations • 1 May 2021 • Qing Yang, Hao Wang, Taotao Wang, Shengli Zhang, Xiaoxiao Wu, Hui Wang
In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP.
2 code implementations • 26 Apr 2021 • Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, YaoWei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian
To enhance the generalization ability of PanGu-$\alpha$, we collect 1. 1TB high-quality Chinese data from a wide range of domains to pretrain the model.
Ranked #1 on
Reading Comprehension (Zero-Shot)
on CMRC 2018
Cloze (multi-choices) (Few-Shot)
Cloze (multi-choices) (One-Shot)
+19
1 code implementation • 29 Mar 2021 • Hui Wang, Wan-Lei Zhao, Xiangxiang Zeng
NN-Descent was proposed as an effective solution for the graph construction problem.
no code implementations • 4 Mar 2021 • Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Qi Tian, Fei Wu, Xi Li
Unsupervised domain adaptation (UDA) typically carries out knowledge transfer from a label-rich source domain to an unlabeled target domain by adversarial learning.
1 code implementation • 3 Nov 2020 • Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen
In this library, we implement 73 recommendation models on 28 benchmark datasets, covering the categories of general recommendation, sequential recommendation, context-aware recommendation and knowledge-based recommendation.
1 code implementation • 3 Oct 2020 • Suzhi Bi, Liang Huang, Hui Wang, Ying-Jun Angela Zhang
In particular, we aim to design an online computation offloading algorithm to maximize the network data processing capability subject to the long-term data queue stability and average power constraints.
Edge-computing
Networking and Internet Architecture
no code implementations • 19 Aug 2020 • Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
Most of the existing CRS methods focus on learning effective preference representations for users from conversation data alone.
2 code implementations • 18 Aug 2020 • Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
To tackle this problem, we propose the model S^3-Rec, which stands for Self-Supervised learning for Sequential Recommendation, based on the self-attentive neural architecture.
no code implementations • 4 Aug 2020 • Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li
To cope with the forgetting problem, many CIL methods transfer the knowledge of old classes by preserving some exemplar samples into the size-constrained memory buffer.
no code implementations • 24 Jul 2020 • Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li
As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain-agnostic network.
no code implementations • 14 Jun 2020 • Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat
A later algorithm, Nested Rollout Policy Adaptation, was able to find a new record of 82 steps, albeit with large computational resources.
2 code implementations • 21 May 2020 • Ruiyang Ren, Zhao-Yang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
Recently, deep learning has made significant progress in the task of sequential recommendation.
no code implementations • 26 Apr 2020 • Hui Wang, Mike Preuss, Aske Plaat
Recently, AlphaZero has achieved landmark results in deep reinforcement learning, by providing a single self-play architecture that learned three different games at super human level.
1 code implementation • CVPR 2020 • Dan Guo, Hui Wang, Hanwang Zhang, Zheng-Jun Zha, Meng Wang
Visual dialog is a challenging task that requires the comprehension of the semantic dependencies among implicit visual and textual contexts.
Ranked #12 on
Visual Dialog
on VisDial v0.9 val
no code implementations • 12 Mar 2020 • Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
A secondary result of our experiments concerns the choice of optimization goals, for which we also provide recommendations.
no code implementations • 8 Jan 2020 • Xishun Wang, Zhouwang Yang, Xingye Yue, Hui Wang
Subspace segmentation assumes that data comes from the union of different subspaces and the purpose of segmentation is to partition the data into the corresponding subspace.
no code implementations • 1 Jan 2020 • Chunli Qin, Demin Yao, Han Zhuang, Hui Wang, Yonghong Shi, Zhijian Song
Accurate identification and localization of the vertebrae in CT scans is a critical and standard preprocessing step for clinical spinal diagnosis and treatment.
no code implementations • 9 Sep 2019 • Lianbo Ma, Peng Sun, Zhiwei Lin, Hui Wang
As $(\mathbf{h},\mathbf{r},\mathbf{t})$ is learned from the existing facts within a knowledge graph, these representations can not be used to detect unknown facts (if the entities or relations never occur in the knowledge graph).
1 code implementation • 2 Aug 2019 • Wan-Lei Zhao, Hui Wang, Peng-Cheng Lin, Chong-Wah Ngo
Unfortunately, a closely related issue of how to merge two existing k-NN graphs has been overlooked.
no code implementations • 2 Jul 2019 • Shanshan Liu, Xin Zhang, Sheng Zhang, Hui Wang, Weiming Zhang
Machine reading comprehension (MRC), which requires a machine to answer questions based on a given context, has attracted increasing attention with the incorporation of various deep-learning techniques over the past few years.
1 code implementation • 30 May 2019 • Zhengui Xue, Zhiwei Lin, Hui Wang, Sally McClean
Existing studies are insufficient in assessing the overall consensus of a ranking set.
1 code implementation • 19 Mar 2019 • Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
Therefore, in this paper, we choose 12 parameters in AlphaZero and evaluate how these parameters contribute to training.
no code implementations • 18 Feb 2019 • Raymond Bond, Ansgar Koene, Alan Dix, Jennifer Boger, Maurice D. Mulvenna, Mykola Galushka, Bethany Waterhouse Bradley, Fiona Browne, Hui Wang, Alexander Wong
Many industries are now investing heavily in data science and automation to replace manual tasks and/or to help with decision making, especially in the realm of leveraging computer vision to automate many monitoring, inspection, and surveillance tasks.
1 code implementation • 14 Oct 2018 • Hui Wang, Michael Emmerich, Aske Plaat
For small games, simple classical table-based Q-learning might still be the algorithm of choice.
no code implementations • 9 Oct 2018 • Xiujun Cheng, Hui Wang, Xiao Wang, Jinqiao Duan, Xiaofan Li
We especially examine those most probable trajectories from low concentration state to high concentration state (i. e., the likely transcription regime) for certain parameters, in order to gain insights into the transcription processes and the tipping time for the transcription likely to occur.
no code implementations • 6 Aug 2018 • Bin Chen, Wei Guo, Bin Li, Rober K. F. Teng, Mingjun Dai, Jianping Luo, Hui Wang
An automatic classification method has been studied to effectively detect and recognize Electrocardiogram (ECG).
no code implementations • 20 Jun 2018 • Ivo Düntsch, Günther Gediga, Hui Wang
In this exploratory article, we draw attention to the common formal ground among various estimators such as the belief functions of evidence theory and their relatives, approximation quality of rough set theory, and contextual probability.
no code implementations • 17 May 2018 • Xin Wei, Hui Wang, Bryan Scotney, Huan Wan
Face recognition has achieved great progress owing to the fast development of the deep neural network in the past a few years.
no code implementations • 9 Apr 2018 • Wan-Lei Zhao, Hui Wang, Chong-Wah Ngo
On the one hand, the approximate k-nearest neighbor graph construction is treated as a search task.
2 code implementations • 16 Feb 2018 • Hui Wang, Michael Emmerich, Aske Plaat
GGP problems can be solved by reinforcement learning.
no code implementations • SEMEVAL 2017 • Sheng Zhang, Jiajun Cheng, Hui Wang, Xin Zhang, Pei Li, Zhaoyun Ding
We describes deep neural networks frameworks in this paper to address the community question answering (cQA) ranking task (SemEval-2017 task 3).
no code implementations • 19 May 2017 • Qin Zhang, Hui Wang, Junyu Dong, Guoqiang Zhong, Xin Sun
We formulate the SST prediction problem as a time series regression problem.
1 code implementation • 15 Sep 2016 • Zhiwei Lin, Hui Wang, Cees H. Elzinga
Preference orderings are orderings of a set of items according to the preferences (of judges).
no code implementations • 11 Aug 2016 • Lun Liu, Hui Wang, Chunyang Wu
Given the size of modern cities in the urbanising age, it is beyond the perceptual capacity of most people to develop a good knowledge about the beauty and ugliness of the city at every street corner.
no code implementations • 29 Apr 2015 • Prashanti Manda, Fiona McCarthy, Bindu Nanduri, Hui Wang, Susan M. Bridges
Development of efficient data mining methods and metrics to mine and assess the quality of the mined relationships has not kept pace with the growth of annotation data.