Search Results for author: Jianwei Zhang

Found 42 papers, 18 papers with code

3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability

1 code implementation ICCV 2023 Ruowei Wang, Yu Liu, Pei Su, Jianwei Zhang, Qijun Zhao

Our method utilizes implicit functions as the 3D shape representation and combines a novel latent-space GAN with a linear subspace model to discover semantic dimensions in the local latent space of 3D shapes.

3D Shape Generation 3D Shape Representation

Deep Active Learning with Structured Neural Depth Search

no code implementations5 Jun 2023 Xiaoyun Zhang, Xieyi Ping, Jianwei Zhang

Previous work optimizes traditional active learning (AL) processes with incremental neural network architecture search (Active-iNAS) based on data complexity change, which improves the accuracy and learning efficiency.

Active Learning Variational Inference

Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic

no code implementations5 Jun 2023 Tianying Ji, Yu Luo, Fuchun Sun, Xianyuan Zhan, Jianwei Zhang, Huazhe Xu

Learning high-quality Q-value functions plays a key role in the success of many modern off-policy deep reinforcement learning (RL) algorithms.

Continuous Control Reinforcement Learning (RL)

FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework

no code implementations2 May 2023 Dongyue Guo, Zheng Zhang, Jianwei Zhang, Yi Lin

Flight Trajectory Prediction (FTP) is an essential task in Air Traffic Control (ATC), which can assist air traffic controllers to manage airspace more safely and efficiently.

Trajectory Prediction

SIA-FTP: A Spoken Instruction Aware Flight Trajectory Prediction Framework

no code implementations2 May 2023 Dongyue Guo, Jianwei Zhang, Yi Lin

A major reason is that spoken instructions and flight trajectories are presented in different modalities in the current air traffic control (ATC) system, bringing great challenges to considering the maneuvering instruction in the FTP tasks.

Trajectory Prediction

Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning

no code implementations28 Jan 2023 Lei Zhang, Kaixin Bai, Zhaopeng Chen, Yunlei Shi, Jianwei Zhang

In physical robotic experiments, our grasping framework grasped single known objects and novel complex-shaped household objects with a success rate of 90. 91%.

Data Augmentation Robotic Grasping +1

Towards Accurate Acne Detection via Decoupled Sequential Detection Head

no code implementations28 Jan 2023 Xin Wei, Lei Zhang, Jianwei Zhang, Junyou Wang, Wenjie Liu, Jiaqi Li, Xian Jiang

In addition, we build a high-quality acne detection dataset named ACNE-DET to verify the effectiveness of DSDH.

Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection

1 code implementation17 Nov 2022 Jianwei Zhang, Julie Liss, Suren Jayasuriya, Visar Berisha

In this paper, we propose a deep learning framework for generating acoustic feature embeddings sensitive to vocal quality and robust across different corpora.


Embedded Silicon-Organic Integrated Neuromorphic System

no code implementations18 Oct 2022 Shengjie Zheng, Ling Liu, Junjie Yang, Jianwei Zhang, Tao Su, Bin Yue, Xiaojian Li

The development of artificial intelligence (AI) and robotics are both based on the tenet of "science and technology are people-oriented", and both need to achieve efficient communication with the human brain.

Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture

no code implementations21 Jul 2022 Jianwei Zhang, Dong Li, Lituan Wang, Lei Zhang

To address the problem, an improved augmentation search strategy, named Augmented Density Matching, was proposed by randomly sampling policies from a prior distribution for training.

AutoML Data Augmentation

Learning High-quality Proposals for Acne Detection

1 code implementation8 Jul 2022 Jianwei Zhang, Lei Zhang, Junyou Wang, Xin Wei, Jiaqi Li, Xian Jiang, Dan Du

Acne detection is crucial for interpretative diagnosis and precise treatment of skin disease.

Classification Region Proposal +2

Knowledge Distillation of Transformer-based Language Models Revisited

no code implementations29 Jun 2022 Chengqiang Lu, Jianwei Zhang, Yunfei Chu, Zhengyu Chen, Jingren Zhou, Fei Wu, Haiqing Chen, Hongxia Yang

In the past few years, transformer-based pre-trained language models have achieved astounding success in both industry and academia.

Knowledge Distillation Language Modelling

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

1 code implementation11 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.

Cloud Computing Edge-computing

Speech recognition for air traffic control via feature learning and end-to-end training

no code implementations4 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.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

A Comparative Study of Speaker Role Identification in Air Traffic Communication Using Deep Learning Approaches

no code implementations3 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.

Binary Classification

Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

1 code implementation27 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.

Clustering Deep Clustering +1

Restoring degraded speech via a modified diffusion model

no code implementations22 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.

M6: A Chinese Multimodal Pretrainer

no code implementations1 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.

Image Generation

Dynamic Memory based Attention Network for Sequential Recommendation

1 code implementation18 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.

Sequential Recommendation

Sparse-Interest Network for Sequential Recommendation

1 code implementation18 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.

Sequential Recommendation

ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems

no code implementations17 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.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Q-SR: An Extensible Optimization Framework for Segment Routing

no code implementations24 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

A Survey on Machine Learning from Few Samples

no code implementations6 Sep 2020 Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, ChangShui Zhang

The capability of learning and generalizing from very few samples successfully is a noticeable demarcation separating artificial intelligence and human intelligence since humans can readily establish their cognition to novelty from just a single or a handful of examples whereas machine learning algorithms typically entail hundreds or thousands of supervised samples to guarantee generalization ability.

BIG-bench Machine Learning Meta-Learning

Cascade Convolutional Neural Network for Image Super-Resolution

no code implementations24 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.

Image Super-Resolution

Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation

no code implementations27 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.


Continuous Learning and Inference of Individual Probability of SARS-CoV-2 Infection Based on Interaction Data

no code implementations8 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.

Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems

no code implementations20 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.

Contrastive Learning Fairness +3

A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU

1 code implementation11 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.

Anatomy Image-to-Image Translation +1

Robust Robotic Pouring using Audition and Haptics

1 code implementation29 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.

6D Object Pose Regression via Supervised Learning on Point Clouds

1 code implementation24 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.

regression Translation

Dimensional Reweighting Graph Convolution Networks

no code implementations25 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.

Node Classification

Dimensional Reweighting Graph Convolutional Networks

2 code implementations4 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.

Node Classification

Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring

1 code implementation2 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

PointNetGPD: Detecting Grasp Configurations from Point Sets

4 code implementations17 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.


Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network

4 code implementations17 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.


Occlusion Resistant Object Rotation Regression from Point Cloud Segments

no code implementations16 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.


Texture Object Segmentation Based on Affine Invariant Texture Detection

no code implementations23 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.

Edge Detection Semantic Segmentation

Saliency-guided Adaptive Seeding for Supervoxel Segmentation

no code implementations13 Apr 2017 Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop

We propose a new saliency-guided method for generating supervoxels in 3D space.

Cannot find the paper you are looking for? You can Submit a new open access paper.