no code implementations • 11 Nov 2021 • Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang
However, edge computing, especially edge and cloud collaborative computing, are still in its infancy to announce their success due to the resource-constrained IoT scenarios with very limited algorithms deployed.
no code implementations • 4 Nov 2021 • Peng Fan, Dongyue Guo, Yi Lin, Bo Yang, Jianwei Zhang
In this work, we propose a new automatic speech recognition (ASR) system based on feature learning and an end-to-end training procedure for air traffic control (ATC) systems.
no code implementations • 3 Nov 2021 • Dongyue Guo, Jianwei Zhang, Bo Yang, Yi Lin
Most importantly, a multi-modal speaker role identification network (MMSRINet) is designed to achieve the SRI task by considering both the speech and textual modality features.
1 code implementation • 27 Jul 2021 • Song Tang, Yan Yang, Zhiyuan Ma, Norman Hendrich, Fanyu Zeng, Shuzhi Sam Ge, ChangShui Zhang, Jianwei Zhang
To reach this goal, we construct the nearest neighborhood for every target data and take it as the fundamental clustering unit by building our objective on the geometry.
no code implementations • 22 Apr 2021 • Jianwei Zhang, Suren Jayasuriya, Visar Berisha
We replace the mel-spectrum upsampler in DiffWave with a deep CNN upsampler, which is trained to alter the degraded speech mel-spectrum to match that of the original speech.
1 code implementation • 2 Mar 2021 • Ge Gao, Mikko Lauri, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
In contrast, this domain gap is considerably smaller and easier to fill for depth information.
no code implementations • 1 Mar 2021 • Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang
In this work, we construct the largest dataset for multimodal pretraining in Chinese, which consists of over 1. 9TB images and 292GB texts that cover a wide range of domains.
no code implementations • 18 Feb 2021 • Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu
Our sparse-interest module can adaptively infer a sparse set of concepts for each user from the large concept pool and output multiple embeddings accordingly.
1 code implementation • 18 Feb 2021 • Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
It segments the overall long behavior sequence into a series of sub-sequences, then trains the model and maintains a set of memory blocks to preserve long-term interests of users.
no code implementations • 17 Feb 2021 • Yi Lin, Bo Yang, Linchao Li, Dongyue Guo, Jianwei Zhang, Hu Chen, Yi Zhang
Finally, by integrating the SRL with ASR, an end-to-end multilingual ASR framework is formulated in a supervised manner, which is able to translate the raw wave into text in one model, i. e., wave-to-text.
no code implementations • 24 Dec 2020 • Jianwei Zhang
For the offline setting, we develop a fully polynomial time approximation scheme (FPTAS) which can finds a $(1+\omega)$-approximation solution for any specified $\omega>0$ in time that is a polynomial function of the network size.
Networking and Internet Architecture
no code implementations • 24 Aug 2020 • Jianwei Zhang, zhenxing Wang, yuhui Zheng, Guoqing Zhang
With the development of the super-resolution convolutional neural network (SRCNN), deep learning technique has been widely applied in the field of image super-resolution.
Ranked #1 on
Image Super-Resolution
on BSD200 - 2x upscaling
no code implementations • 27 Jul 2020 • Lin Cong, Michael Görner, Philipp Ruppel, Hongzhuo Liang, Norman Hendrich, Jianwei Zhang
In this paper, we collect all training data in a physics simulator and build an LSTM-based model to fit the pushing dynamics.
Robotics
no code implementations • 8 Jun 2020 • Shangching Liu, Koyun Liu, Hwaihai Chiang, Jianwei Zhang, Tsungyao Chang
This study presents a new approach to determine the likelihood of asymptomatic carriers of the SARS-CoV-2 virus by using interaction-based continuous learning and inference of individual probability (CLIIP) for contagious ranking.
no code implementations • 20 May 2020 • Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang
Deep candidate generation (DCG) that narrows down the collection of relevant items from billions to hundreds via representation learning has become prevalent in industrial recommender systems.
2 code implementations • 19 May 2020 • Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang
Recent works usually give an overall embedding from a user's behavior sequence.
1 code implementation • 11 Mar 2020 • Shuang Li, Jiaxi Jiang, Philipp Ruppel, Hongzhuo Liang, Xiaojian Ma, Norman Hendrich, Fuchun Sun, Jianwei Zhang
In this paper, we present a multimodal mobile teleoperation system that consists of a novel vision-based hand pose regression network (Transteleop) and an IMU-based arm tracking method.
1 code implementation • 29 Feb 2020 • Hongzhuo Liang, Chuangchuang Zhou, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Fuchun Sun, Marcus Stoffel, Jianwei Zhang
Both network training results and robot experiments demonstrate that MP-Net is robust against noise and changes to the task and environment.
1 code implementation • 24 Jan 2020 • Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
We use depth information represented by point clouds as the input to both deep networks and geometry-based pose refinement and use separate networks for rotation and translation regression.
no code implementations • 25 Sep 2019 • Xu Zou, Qiuye Jia, Jianwei Zhang, Chang Zhou, Zijun Yao, Hongxia Yang, Jie Tang
In this paper, we propose a method named Dimensional reweighting Graph Convolutional Networks (DrGCNs), to tackle the problem of variance between dimensional information in the node representations of GCNs.
2 code implementations • 4 Jul 2019 • Xu Zou, Qiuye Jia, Jianwei Zhang, Chang Zhou, Hongxia Yang, Jie Tang
Graph Convolution Networks (GCNs) are becoming more and more popular for learning node representations on graphs.
4 code implementations • 5 May 2019 • Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang
Network embedding (or graph embedding) has been widely used in many real-world applications.
Ranked #1 on
Link Prediction
on Amazon
1 code implementation • 2 Mar 2019 • Hongzhuo Liang, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Jianwei Zhang
PouringNet is trained on our collected real-world pouring dataset with multimodal sensing data, which contains more than 3000 recordings of audio, force feedback, video and trajectory data of the human hand that performs the pouring task.
Robotics Sound Audio and Speech Processing
4 code implementations • 17 Sep 2018 • Hongzhuo Liang, Xiaojian Ma, Shuang Li, Michael Görner, Song Tang, Bin Fang, Fuchun Sun, Jianwei Zhang
In this paper, we propose an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.
Robotics
4 code implementations • 17 Sep 2018 • Shuang Li, Xiaojian Ma, Hongzhuo Liang, Michael Görner, Philipp Ruppel, Bing Fang, Fuchun Sun, Jianwei Zhang
In this paper, we present TeachNet, a novel neural network architecture for intuitive and markerless vision-based teleoperation of dexterous robotic hands.
Robotics
no code implementations • 16 Aug 2018 • Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop
Rotation estimation of known rigid objects is important for robotic applications such as dexterous manipulation.
no code implementations • 23 Dec 2017 • Jianwei Zhang, Xu Chen, Xuezhong Xiao
To solve the issue of segmenting rich texture images, a novel detection methods based on the affine invariable principle is proposed.
no code implementations • 13 Apr 2017 • Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop
We propose a new saliency-guided method for generating supervoxels in 3D space.