Search Results for author: Jian Wang

Found 161 papers, 41 papers with code

RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips

no code implementations COLING 2022 Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma

We collected and annotated a wide range of meta-data with respect to medical dialogue including doctor profiles, hospital departments, diseases and symptoms for fine-grained analysis on language usage pattern and clinical diagnosis.

Response Generation

多特征融合的越英端到端语音翻译方法(A Vietnamese-English end-to-end speech translation method based on multi-feature fusion)

no code implementations CCL 2022 Houli Ma, Ling Dong, Wenjun Wang, Jian Wang, Shengxiang Gao, Zhengtao Yu

“语音翻译的编码器需要同时编码语音中的声学和语义信息, 单一的Fbank或Wav2vec2语音特征表征能力存在不足。本文通过分析人工的Fbank特征与自监督的Wav2vec2特征间的差异性, 提出基于交叉注意力机制的声学特征融合方法, 并探究了不同的自监督特征和融合方式, 加强模型对语音中声学和语义信息的学习。结合越南语语音特点, 以Fbank特征为主、Pitch特征为辅混合编码Fbank表征, 构建多特征融合的越-英语音翻译模型。实验表明, 使用多特征的语音翻译模型相比单特征翻译效果更优, 与简单的特征拼接方法相比更有效, 所提的多特征融合方法在越-英语音翻译任务上提升了1. 97个BLEU值。”

Graph Contrastive Learning for Skeleton-based Action Recognition

1 code implementation26 Jan 2023 Xiaohu Huang, Hao Zhou, Bin Feng, Xinggang Wang, Wenyu Liu, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang

In this paper, we propose a graph contrastive learning framework for skeleton-based action recognition (\textit{SkeletonGCL}) to explore the \textit{global} context across all sequences.

Action Recognition Contrastive Learning +2

Scene-aware Egocentric 3D Human Pose Estimation

no code implementations20 Dec 2022 Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Diogo Luvizon, Christian Theobalt

To this end, we propose an egocentric depth estimation network to predict the scene depth map from a wide-view egocentric fisheye camera while mitigating the occlusion of the human body with a depth-inpainting network.

Depth Estimation Egocentric Pose Estimation

COLA: Improving Conversational Recommender Systems by Collaborative Augmentation

no code implementations15 Dec 2022 Dongding Lin, Jian Wang, Wenjie Li

Inspired by collaborative filtering, we propose a collaborative augmentation (COLA) method to simultaneously improve both item representation learning and user preference modeling to address these issues.

CoLA Collaborative Filtering +2

WAIR-D: Wireless AI Research Dataset

no code implementations5 Dec 2022 Yourui Huangfu, Jian Wang, Shengchen Dai, Rong Li, Jun Wang, Chongwen Huang, Zhaoyang Zhang

The statistical data hinder the trained AI models from further fine-tuning for a specific scenario, and ray-tracing data with limited environments lower down the generalization capability of the trained AI models.

Intelligent Communication

Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation

no code implementations20 Nov 2022 Jianqiang Huang, Jian Wang, Qianru Sun, Hanwang Zhang

An intuitive solution is ``coupling'' the CAM with the long-range attention matrix of visual transformers (ViT) We find that the direct ``coupling'', e. g., pixel-wise multiplication of attention and activation, achieves a more global coverage (on the foreground), but unfortunately goes with a great increase of false positives, i. e., background pixels are mistakenly included.

Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation

A survey on the development status and application prospects of knowledge graph in smart grids

no code implementations2 Nov 2022 Jian Wang, Xi Wang, Chaoqun Ma, Lei Kou

With the advent of the electric power big data era, semantic interoperability and interconnection of power data have received extensive attention.

Decision Making

Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers

1 code implementation25 Oct 2022 Jian Wang, Miaomiao Zhang

We introduce a newly designed framework that (i) simultaneously derives features from both image and latent shape spaces with large intra-class variations; and (ii) gains increased model interpretability by allowing direct access to the underlying geometric features of image data.

Image Classification

Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion

no code implementations14 Oct 2022 Srikrishna Jaganathan, Maximilian Kukla, Jian Wang, Karthik Shetty, Andreas Maier

Deep Learning-based 2D/3D registration enables fast, robust, and accurate X-ray to CT image fusion when large annotated paired datasets are available for training.

Domain Adaptation

U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Prediction

1 code implementation13 Oct 2022 Jian Wang, Xiang Long, Guowei Chen, Zewu Wu, Zeyu Chen, Errui Ding

Therefore, we designed a U-shaped High-Resolution Network (U-HRNet), which adds more stages after the feature map with strongest semantic representation and relaxes the constraint in HRNet that all resolutions need to be calculated parallel for a newly added stage.

Depth Estimation Depth Prediction +1

Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach

no code implementations4 Oct 2022 Qing Xue, Yi-Jing Liu, Yao Sun, Jian Wang, Li Yan, Gang Feng, Shaodan Ma

Deploying ultra-dense networks that operate on millimeter wave (mmWave) band is a promising way to address the tremendous growth on mobile data traffic.

Federated Learning Management

Design of the PID temperature controller for an alkaline electrolysis system with time delays

no code implementations3 Oct 2022 Ruomei Qi, Jiarong Li, Jin Lin, Yonghua Song, Jiepeng Wang, Qiangqiang Cui, Yiwei Qiu, Ming Tang, Jian Wang

This paper focuses on the design of the PID temperature controller for an alkaline electrolysis system to achieve fast and stable temperature control.

Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control

no code implementations17 Sep 2022 Yunbo Qiu, Yue Jin, Jian Wang, Xudong Zhang

Flocking control is a challenging problem, where multiple agents, such as drones or vehicles, need to reach a target position while maintaining the flock and avoiding collisions with obstacles and collisions among agents in the environment.

Multi-agent Reinforcement Learning reinforcement-learning +1

Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition

no code implementations19 Aug 2022 Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He

In this paper, we study the problem of one-shot skeleton-based action recognition, which poses unique challenges in learning transferable representation from base classes to novel classes, particularly for fine-grained actions.

Action Recognition Meta-Learning +1

IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation

no code implementations6 Aug 2022 Zhongwei Qiu, Qiansheng Yang, Jian Wang, Dongmei Fu

In particular, we firstly formulate video frames as a series of instance-guided tokens and each token is in charge of predicting the 3D pose of a human instance.

3D Multi-Person Pose Estimation 3D Pose Estimation

Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems

1 code implementation6 Aug 2022 Jian Wang, Dongding Lin, Wenjie Li

Recommendation dialogue systems aim to build social bonds with users and provide high-quality recommendations.

Dialogue Generation

Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment

no code implementations26 Jul 2022 Qiang Chen, Xiaokang Chen, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Gang Zeng, Jingdong Wang

Detection Transformer (DETR) relies on One-to-One assignment, i. e., assigning one ground-truth object to only one positive object query, for end-to-end object detection and lacks the capability of exploiting multiple positive object queries.

object-detection Object Detection

Dynamic Graph Reasoning for Multi-person 3D Pose Estimation

no code implementations22 Jul 2022 Zhongwei Qiu, Qiansheng Yang, Jian Wang, Dongmei Fu

Finally, the 3D poses are decoded according to dynamic decoding graphs for each detected person.

3D Pose Estimation

Action Quality Assessment with Temporal Parsing Transformer

1 code implementation19 Jul 2022 Yang Bai, Desen Zhou, Songyang Zhang, Jian Wang, Errui Ding, Yu Guan, Yang Long, Jingdong Wang

Action Quality Assessment(AQA) is important for action understanding and resolving the task poses unique challenges due to subtle visual differences.

Action Quality Assessment Action Understanding +1

Learning Granularity-Unified Representations for Text-to-Image Person Re-identification

1 code implementation16 Jul 2022 Zhiyin Shao, Xinyu Zhang, Meng Fang, Zhifeng Lin, Jian Wang, Changxing Ding

In PGU, we adopt a set of shared and learnable prototypes as the queries to extract diverse and semantically aligned features for both modalities in the granularity-unified feature space, which further promotes the ReID performance.

Person Re-Identification Text based Person Retrieval +1

Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach

no code implementations30 Jun 2022 Xinxin Zhou, Jingru Feng, Jian Wang, Jianhong Pan

In this method, the integrated power is decomposed into individual device power by non-intrusive load monitoring, and the power of individual appliances is predicted separately using a federated deep learning model.

Federated Learning Load Forecasting +2

MME-CRS: Multi-Metric Evaluation Based on Correlation Re-Scaling for Evaluating Open-Domain Dialogue

no code implementations19 Jun 2022 Pengfei Zhang, Xiaohui Hu, Kaidong Yu, Jian Wang, Song Han, Cao Liu, Chunyang Yuan

Firstly, we build an evaluation metric composed of 5 groups of parallel sub-metrics called Multi-Metric Evaluation (MME) to evaluate the quality of dialogue comprehensively.

Dialogue Evaluation

Structured Light with Redundancy Codes

no code implementations18 Jun 2022 Zhanghao Sun, Yu Zhang, Yicheng Wu, Dong Huo, Yiming Qian, Jian Wang

We propose three applications using our redundancy codes: (1) Self error-correction for SL imaging under strong ambient light, (2) Error detection for adaptive reconstruction under global illumination, and (3) Interference filtering with device-specific projection sequence encoding, especially for event camera-based SL and light curtain devices.

Object Scan Context: Object-centric Spatial Descriptor for Place Recognition within 3D Point Cloud Map

no code implementations7 Jun 2022 Haodong Yuan, Yudong Zhang, Shengyin Fan, Xue Li, Jian Wang

Place recognition technology endows a SLAM algorithm with the ability to eliminate accumulated errors and to relocalize itself.

Human-Object Interaction Detection via Disentangled Transformer

no code implementations CVPR 2022 Desen Zhou, Zhichao Liu, Jian Wang, Leshan Wang, Tao Hu, Errui Ding, Jingdong Wang

To associate the predictions of disentangled decoders, we first generate a unified representation for HOI triplets with a base decoder, and then utilize it as input feature of each disentangled decoder.

Human-Object Interaction Detection

Implicit Sample Extension for Unsupervised Person Re-Identification

1 code implementation CVPR 2022 Xinyu Zhang, Dongdong Li, Zhigang Wang, Jian Wang, Errui Ding, Javen Qinfeng Shi, Zhaoxiang Zhang, Jingdong Wang

Specifically, we generate support samples from actual samples and their neighbouring clusters in the embedding space through a progressive linear interpolation (PLI) strategy.

Unsupervised Person Re-Identification

Glass Segmentation with RGB-Thermal Image Pairs

1 code implementation12 Apr 2022 Dong Huo, Jian Wang, Yiming Qian, Yee-Hong Yang

Due to the large difference between the transmission property of visible light and that of the thermal energy through the glass where most glass is transparent to the visible light but opaque to thermal energy, glass regions of a scene are made more distinguishable with a pair of RGB and thermal images than solely with an RGB image.

NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks

no code implementations24 Mar 2022 Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, Yang Liu

Inspired by software testing, a number of structural coverage criteria are designed and proposed to measure the test adequacy of DNNs.

Defect Detection DNN Testing +1

Hierarchical Memory Learning for Fine-Grained Scene Graph Generation

no code implementations14 Mar 2022 Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma

After the autonomous partition of coarse and fine predicates, the model is first trained on the coarse predicates and then learns the fine predicates.

Graph Generation Scene Graph Generation

Image Steganography based on Style Transfer

no code implementations9 Mar 2022 Donghui Hu, Yu Zhang, Cong Yu, Jian Wang, Yaofei Wang

Image steganography is the art and science of using images as cover for covert communications.

Image Steganography Image Stylization +1

Thermal Modelling and Controller Design of an Alkaline Electrolysis System under Dynamic Operating Conditions

no code implementations27 Feb 2022 Ruomei Qi, Jiarong Li, Jin Lin, Yonghua Song, Jiepeng Wang, Qiangqiang Cui, Yiwei Qiu, Ming Tang, Jian Wang

A control-oriented thermal model is established in the form of a third-order time-delay process, which is used for simulation and controller design.

Management

Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks

no code implementations31 Jan 2022 Mingfu Xue, Shifeng Ni, Yinghao Wu, Yushu Zhang, Jian Wang, Weiqiang Liu

Recent researches demonstrate that Deep Neural Networks (DNN) models are vulnerable to backdoor attacks.

Backdoor Attack

Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision

no code implementations CVPR 2022 Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Diogo Luvizon, Christian Theobalt

Specifically, we first generate pseudo labels for the EgoPW dataset with a spatio-temporal optimization method by incorporating the external-view supervision.

Egocentric Pose Estimation

An Adaptive Neuro-Fuzzy System with Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems

no code implementations10 Jan 2022 Guangdong Xue, Qin Chang, Jian Wang, Kai Zhang, Nikhil R. Pal

The effectiveness of the FSRE-AdaTSK is demonstrated on 19 datasets of which five are in more than 2000 dimension including two with dimension greater than 7000.

Training Object Detectors From Scratch: An Empirical Study in the Era of Vision Transformer

no code implementations CVPR 2022 Weixiang Hong, Jiangwei Lao, Wang Ren, Jian Wang, Jingdong Chen, Wei Chu

Instead of proposing a specific vision transformer based detector, in this work, our goal is to reveal the insights of training vision transformer based detectors from scratch.

object-detection Object Detection +1

Hybrid Atlas Building with Deep Registration Priors

no code implementations13 Dec 2021 Nian Wu, Jian Wang, Miaomiao Zhang, Guixu Zhang, Yaxin Peng, Chaomin Shen

Registration-based atlas building often poses computational challenges in high-dimensional image spaces.

MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection

1 code implementation ICCV 2021 Yongri Piao, Jian Wang, Miao Zhang, Huchuan Lu

The multiple accurate cues from multiple DFs are then simultaneously propagated to the saliency network with a multi-guidance loss.

object-detection Object Detection +2

Image-Guided Navigation of a Robotic Ultrasound Probe for Autonomous Spinal Sonography Using a Shadow-aware Dual-Agent Framework

no code implementations3 Nov 2021 Keyu Li, Yangxin Xu, Jian Wang, Dong Ni, Li Liu, Max Q. -H. Meng

Ultrasound (US) imaging is commonly used to assist in the diagnosis and interventions of spine diseases, while the standardized US acquisitions performed by manually operating the probe require substantial experience and training of sonographers.

Anatomy Decision Making +1

URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph

no code implementations1 Nov 2021 Na Zhao, Zhen Long, Zhi-Dan Zhao, Jian Wang

This implies that URIR can effectively use knowledge graph to obtain better user codes and item codes, thereby obtaining better recommendation results.

Knowledge Graphs Recommendation Systems

One-Bit Matrix Completion with Differential Privacy

no code implementations2 Oct 2021 Zhengpin Li, Zheng Wei, Zengfeng Huang, Xiaojun Mao, Jian Wang

In this paper, we propose a unified framework for ensuring a strong privacy guarantee of one-bit matrix completion with DP.

Collaborative Filtering Matrix Completion +2

Applying Differential Privacy to Tensor Completion

no code implementations1 Oct 2021 Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang

Tensor completion aims at filling the missing or unobserved entries based on partially observed tensors.

Tensor Decomposition

SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System

no code implementations1 Oct 2021 Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang

In this work, we propose a novel and general self-adaptive module, the Self-adaptive Attention Module (SAM), which adjusts the selection bias by capturing contextual information based on its representation.

Recommendation Systems Representation Learning +1

To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection

no code implementations4 Sep 2021 Yongri Piao, Jian Wang, Miao Zhang, Zhengxuan Ma, Huchuan Lu

Despite of the success of previous works, explorations on an effective training strategy for the saliency network and accurate matches between image-level annotations and salient objects are still inadequate.

object-detection Object Detection +1

Mining Contextual Information Beyond Image for Semantic Segmentation

1 code implementation ICCV 2021 Zhenchao Jin, Tao Gong, Dongdong Yu, Qi Chu, Jian Wang, Changhu Wang, Jie Shao

To address this, this paper proposes to mine the contextual information beyond individual images to further augment the pixel representations.

Image Segmentation Semantic Segmentation

Learning to Detect: A Data-driven Approach for Network Intrusion Detection

no code implementations18 Aug 2021 Zachary Tauscher, Yushan Jiang, Kai Zhang, Jian Wang, Houbing Song

With massive data being generated daily and the ever-increasing interconnectivity of the world's Internet infrastructures, a machine learning based intrusion detection system (IDS) has become a vital component to protect our economic and national security.

Network Intrusion Detection Representation Learning

Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition

1 code implementation10 Aug 2021 Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding

The task of skeleton-based action recognition remains a core challenge in human-centred scene understanding due to the multiple granularities and large variation in human motion.

Action Recognition Scene Understanding +1

Distributed Learning for Time-varying Networks: A Scalable Design

no code implementations31 Jul 2021 Jian Wang, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang

The wireless network is undergoing a trend from "onnection of things" to "connection of intelligence".

Federated Learning

A Novel Interactive Two-stage Joint Retail Electricity Market for Multiple Microgrids

no code implementations27 Jul 2021 Chunyi Huang, Mingzhi Zhang, Chengmin Wang, Ning Xie, Jian Wang, Shi Peng

To accommodate the advent of microgrids (MG) managing distributed energy resources (DER) in distribution systems, an interactive two-stage joint retail electricity market mechanism is proposed to provide an effective platform for these prosumers to proactively join in retail transactions.

energy trading

Deep Iterative 2D/3D Registration

no code implementations21 Jul 2021 Srikrishna Jaganathan, Jian Wang, Anja Borsdorf, Karthik Shetty, Andreas Maier

A refinement step using the classical optimization-based 2D/3D registration method applied in combination with Deep Learning-based techniques can provide the required accuracy.

Optical Flow Estimation

Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization

1 code implementation12 Jul 2021 Jian Wang, Miaomiao Zhang

This paper presents a novel hierarchical Bayesian model for unbiased atlas building with subject-specific regularizations of image registration.

Image Registration

HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration

no code implementations6 Jul 2021 Shuaizheng Yan, Xingyu Chen, Zhengxing Wu, Jian Wang, Yue Lu, Min Tan, Junzhi Yu

Our experimental results show that the proposed method is able to perform high-quality restoration for unconstrained underwater images without any supervision.

Underwater Image Restoration

Seeing in Extra Darkness Using a Deep-Red Flash

no code implementations CVPR 2021 Jinhui Xiong, Jian Wang, Wolfgang Heidrich, Shree Nayar

We propose a new flash technique for low-light imaging, using deep-red light as an illuminating source.

Video Reconstruction

Detect and remove watermark in deep neural networks via generative adversarial networks

no code implementations15 Jun 2021 Haoqi Wang, Mingfu Xue, Shichang Sun, Yushu Zhang, Jian Wang, Weiqiang Liu

Experimental evaluations on the MNIST and CIFAR10 datasets demonstrate that, the proposed method can effectively remove about 98% of the watermark in DNN models, as the watermark retention rate reduces from 100% to less than 2% after applying the proposed attack.

Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations

no code implementations29 May 2021 Mingfu Xue, Yinghao Wu, Zhiyu Wu, Yushu Zhang, Jian Wang, Weiqiang Liu

Experimental results show that, the backdoor detection rate of the proposed defense method is 99. 63%, 99. 76% and 99. 91% on Fashion-MNIST, CIFAR-10 and GTSRB datasets, respectively.

Backdoor Attack

AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption

no code implementations28 May 2021 Mingfu Xue, Zhiyu Wu, Jian Wang, Yushu Zhang, Weiqiang Liu

Moreover, the proposed method only needs to encrypt an extremely low number of parameters, and the proportion of the encrypted parameters of all the model's parameters is as low as 0. 000205%.

One Shot Face Swapping on Megapixels

1 code implementation CVPR 2021 Yuhao Zhu, Qi Li, Jian Wang, Chengzhong Xu, Zhenan Sun

Extensive experiments demonstrate the superiority of MegaFS and the first megapixel level face swapping database is released for research on DeepFake detection and face image editing in the public domain.

DeepFake Detection Disentanglement +2

Class-Incremental Learning for Wireless Device Identification in IoT

1 code implementation8 May 2021 Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song

The proposed framework has the potential to be applied to accurate identification of IoT devices in a variety of IoT applications and services.

class-incremental learning Incremental Learning

Estimating Egocentric 3D Human Pose in Global Space

no code implementations ICCV 2021 Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Christian Theobalt

Furthermore, these methods suffer from limited accuracy and temporal instability due to ambiguities caused by the monocular setup and the severe occlusion in a strongly distorted egocentric perspective.

3D Human Pose Estimation

Unsupervised Multi-Source Domain Adaptation for Person Re-Identification

1 code implementation CVPR 2021 Zechen Bai, Zhigang Wang, Jian Wang, Di Hu, Errui Ding

Although achieving great success, most of them only use limited data from a single-source domain for model pre-training, making the rich labeled data insufficiently exploited.

Person Re-Identification Unsupervised Domain Adaptation

Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images

no code implementations19 Apr 2021 Shichang Sun, Mingfu Xue, Jian Wang, Weiqiang Liu

To address these challenges, in this paper, we propose a method to protect the intellectual properties of DNN models by using an additional class and steganographic images.

Image Steganography Management

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI

no code implementations18 Apr 2021 Yirong Zhou, Chen Qian, Yi Guo, Zi Wang, Jian Wang, Biao Qu, Di Guo, Yongfu You, Xiaobo Qu

Machine learning and artificial intelligence have shown remarkable performance in accelerated magnetic resonance imaging (MRI).

Image Reconstruction

Robust Backdoor Attacks against Deep Neural Networks in Real Physical World

no code implementations15 Apr 2021 Mingfu Xue, Can He, Shichang Sun, Jian Wang, Weiqiang Liu

In this paper, we propose a robust physical backdoor attack method, PTB (physical transformations for backdoors), to implement the backdoor attacks against deep learning models in the real physical world.

Backdoor Attack Face Recognition

Robust Reinforcement Learning under model misspecification

1 code implementation29 Mar 2021 Lebin Yu, Jian Wang, Xudong Zhang

Reinforcement learning has achieved remarkable performance in a wide range of tasks these days.

Adversarial Attack reinforcement-learning +1

Smart Scheduling based on Deep Reinforcement Learning for Cellular Networks

no code implementations22 Mar 2021 Jian Wang, Chen Xu, Rong Li, Yiqun Ge, Jun Wang

We not only verify the performance gain achieved, but also provide implementation-friend designs, i. e., a scalable neural network design for the agent and a virtual environment training framework.

Fairness Management +3

ActiveGuard: An Active DNN IP Protection Technique via Adversarial Examples

no code implementations2 Mar 2021 Mingfu Xue, Shichang Sun, Can He, Yushu Zhang, Jian Wang, Weiqiang Liu

For ownership verification, the embedded watermark can be successfully extracted, while the normal performance of the DNN model will not be affected.

Management

Learning the Update Operator for 2D/3D Image Registration

no code implementations4 Feb 2021 Srikrishna Jaganathan, Jian Wang, Anja Borsdorf, Andreas Maier

We aim to address this gap by incorporating traditional methods in deep neural networks using known operator learning.

Image Registration Operator learning

Incentive-based Decentralized Routing for Connected and Autonomous Vehicles using Information Propagation

no code implementations1 Feb 2021 Chaojie Wang, Srinivas Peeta, Jian Wang

The first stage incorporates a decentralized local route switching dynamical system to approximate the system optimal route flow in a local area based on vehicles' knowledge of local traffic information.

Autonomous Vehicles Physics and Society Computer Science and Game Theory Systems and Control Systems and Control

Two-sided Dirichlet heat estimates of symmetric stable processes on horn-shaped regions

no code implementations29 Jan 2021 Xin Chen, Panki Kim, Jian Wang

In this paper, we consider symmetric $\alpha$-stable processes on (unbounded) horn-shaped regions which are non-uniformly $C^{1, 1}$ near infinity.

Probability

Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey

no code implementations25 Jan 2021 Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song

In this paper, we provide a comprehensive survey on machine learning technologies for the identification of IoT devices along with the detection of compromised or falsified ones from the viewpoint of passive surveillance agents or network operators.

Anomaly Detection BIG-bench Machine Learning +2

Systematic electrochemical etching of various metal tips for tunneling spectroscopy and scanning probe microscopy

no code implementations18 Jan 2021 Jiawei Zhang, Pinyuan Wang, Xuao Zhang, Haoran Ji, Jiawei Luo, He Wang, Jian Wang

To ensure the reproducibility of experimental results, the fabrication of tips should be standardized, and a controllable and convenient system should be set up.

Materials Science

Run Away From your Teacher: a New Self-Supervised Approach Solving the Puzzle of BYOL

no code implementations1 Jan 2021 Haizhou Shi, Dongliang Luo, Siliang Tang, Jian Wang, Yueting Zhuang

Recently, a newly proposed self-supervised framework Bootstrap Your Own Latent (BYOL) seriously challenges the necessity of negative samples in contrastive-based learning frameworks.

Self-Supervised Learning

Detection of magnetic gap in the topological surface states of MnBi2Te4

no code implementations31 Dec 2020 Haoran Ji, Yanzhao Liu, He Wang, Jiawei Luo, Jiaheng Li, Hao Li, Yang Wu, Yong Xu, Jian Wang

An essential ingredient to realize these quantum states is the magnetic gap in the topological surface states induced by the out-of-plane ferromagnetism on the surface of MnBi2Te4.

Materials Science

Distant Domain Transfer Learning for Medical Imaging

no code implementations10 Dec 2020 Shuteng Niu, Meryl Liu, Yongxin Liu, Jian Wang, Houbing Song

In this paper, we propose a distant domain transfer learning (DDTL) method for medical image classification.

Computed Tomography (CT) COVID-19 Diagnosis +5

Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems

1 code implementation COLING 2020 Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang

To conquer these limitations, we propose a Dual Dynamic Memory Network (DDMN) for multi-turn dialog generation, which maintains two core components: dialog memory manager and KB memory manager.

Group Contextual Encoding for 3D Point Clouds

1 code implementation NeurIPS 2020 Xu Liu, Chengtao Li, Jian Wang, Jingbo Wang, Boxin Shi, Xiaodong He

In this work, we extended the contextual encoding layer that was originally designed for 2D tasks to 3D Point Cloud scenarios.

Scene Understanding

Deep Learning for Regularization Prediction in Diffeomorphic Image Registration

no code implementations28 Nov 2020 Jian Wang, Miaomiao Zhang

This paper presents a predictive model for estimating regularization parameters of diffeomorphic image registration.

Image Registration

NaturalAE: Natural and Robust Physical Adversarial Examples for Object Detectors

no code implementations27 Nov 2020 Mingfu Xue, Chengxiang Yuan, Can He, Jian Wang, Weiqiang Liu

Experimental results demonstrate that, the generated adversarial examples are robust under various indoor and outdoor physical conditions, including different distances, angles, illuminations, and photographing.

Adversarial Attack object-detection +1

3D Invisible Cloak

no code implementations27 Nov 2020 Mingfu Xue, Can He, Zhiyu Wu, Jian Wang, Zhe Liu, Weiqiang Liu

on person stealth attacks, and propose 3D transformations to generate 3D invisible cloak.

SocialGuard: An Adversarial Example Based Privacy-Preserving Technique for Social Images

no code implementations27 Nov 2020 Mingfu Xue, Shichang Sun, Zhiyu Wu, Can He, Jian Wang, Weiqiang Liu

After being injected with the perturbation, the social image can easily fool the object detector, while its visual quality will not be degraded.

Privacy Preserving

Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach

no code implementations22 Nov 2020 Haizhou Shi, Dongliang Luo, Siliang Tang, Jian Wang, Yueting Zhuang

Recently, a newly proposed self-supervised framework Bootstrap Your Own Latent (BYOL) seriously challenges the necessity of negative samples in contrastive learning frameworks.

Contrastive Learning Self-Supervised Learning

Integrated Gallium Nitride Nonlinear Photonics

no code implementations30 Oct 2020 Yanzhen Zheng, Changzheng Sun, Bing Xiong, Lai Wang, Zhibiao Hao, Jian Wang, Yanjun Han, Hongtao Li, Jiadong Yu, Yi Luo

Thanks to its high nonlinearity and high refractive index contrast, GaN-on-insulator (GaNOI) is also a promising platform for nonlinear optical applications.

Optics Applied Physics

Robust MIMO Radar Waveform-Filter Design for Extended Target Detection in the Presence of Multipath

no code implementations28 Sep 2020 Zhou Xu, Chongyi Fan, Jian Wang, Xiaotao Huang

We resort to a sequential optimization procedure alternating between two SDR problems to optimize the covariance matrix of transmit waveform and receive filter, so we call the algorithm Duality Maximization Double Semi-Definite Relaxation(DMDSDR).

Counter-Unmanned Aircraft System(s) (C-UAS): State of the Art, Challenges and Future Trends

no code implementations28 Aug 2020 Jian Wang, Yongxin Liu, Houbing Song

A Counter-UAS (C-UAS) system is defined as a system or device capable of lawfully and safely disabling, disrupting, or seizing control of an unmanned aircraft or unmanned aircraft system.

Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices

1 code implementation27 Aug 2020 Yongxin Liu, Jian Wang, Jianqiang Li, Houbing Song, Thomas Yang, Shuteng Niu, Zhong Ming

In this paper, we propose an enhanced deep learning framework for IoT device identification using physical layer signals.

Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement

no code implementations ECCV 2020 Jian Wang, Xiang Long, Yuan Gao, Errui Ding, Shilei Wen

In the first stage, heatmap regression network is applied to obtain a rough localization result, and a set of proposal keypoints, called guided points, are sampled.

Pose Estimation regression

TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition

no code implementations ACL 2020 Ruifang He, Jian Wang, Fengyu Guo, Yugui Han

Implicit discourse relation recognition is a challenging task due to the lack of connectives as strong linguistic clues.

Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation

1 code implementation1 Jun 2020 Mattia Lecci, Michele Polese, Chiehping Lai, Jian Wang, Camillo Gentile, Nada Golmie, Michele Zorzi

5G and beyond networks will use, for the first time ever, the millimeter wave (mmWave) spectrum for mobile communications.

Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce

1 code implementation17 May 2020 Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan

We manually collect a new and high-quality paired dataset, where each pair contains an unordered product attribute set in the source language and an informative product description in the target language.

Cross-Lingual Information Retrieval Retrieval

Energy Model for UAV Communications: Experimental Validation and Model Generalization

no code implementations4 May 2020 Ning Gao, Yong Zeng, Jian Wang, Di wu, Chaoyue Zhang, Qingheng Song, Jiachen Qian, Shi Jin

In this paper, via extensive flight experiments, we aim to firstly validate the recently derived theoretical energy model for rotary-wing UAVs, and then develop a general model for those complicated flight scenarios where rigorous theoretical model derivation is quite challenging, if not impossible.

DeepFLASH: An Efficient Network for Learning-based Medical Image Registration

1 code implementation CVPR 2020 Jian Wang, Miaomiao Zhang

This paper presents DeepFLASH, a novel network with efficient training and inference for learning-based medical image registration.

Image Registration Medical Image Registration

Sex Differences in Severity and Mortality Among Patients With COVID-19: Evidence from Pooled Literature Analysis and Insights from Integrated Bioinformatic Analysis

no code implementations30 Mar 2020 Xiyi Wei, Yu-Tian Xiao, Jian Wang, Rui Chen, Wei zhang, Yue Yang, Daojun Lv, Chao Qin, Di Gu, Bo Zhang, Weidong Chen, Jianquan Hou, Ninghong Song, Guohua Zeng, Shancheng Ren

Objective: To conduct a meta-analysis of current studies that examined sex differences in severity and mortality in patients with COVID-19, and identify potential mechanisms underpinning these differences.

Association

Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering

1 code implementation16 Dec 2019 Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang

In this paper, we propose a novel knowledge-aware dialogue generation model (called TransDG), which transfers question representation and knowledge matching abilities from knowledge base question answering (KBQA) task to facilitate the utterance understanding and factual knowledge selection for dialogue generation.

Dialogue Generation Knowledge Base Question Answering +1

Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge

1 code implementation21 Nov 2019 Cong Sun, Zhihao Yang, Leilei Su, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang

Furthermore, the Gaussian probability distribution can effectively improve the extraction performance of sentences with overlapping relations in biomedical relation extraction tasks.

Drug Discovery Relation Extraction

ADCC: An Effective and Intelligent Attention Dense Color Constancy System for Studying Images in Smart Cities

no code implementations17 Nov 2019 Yilang Zhang, Neal N. Xiong, Zheng Wei, Xin Yuan, Jian Wang

The augmented images help to tell apart the edge gradients, edge pixels and non-edge ones in log-histogram, which contribute significantly to the feature extraction and color-ambiguity elimination, thereby advancing the accuracy of illuminant estimation.

Color Constancy

Fast Color Constancy with Patch-wise Bright Pixels

no code implementations17 Nov 2019 Yiyao Shi, Jian Wang, xiangyang xue

In this paper, a learning-free color constancy algorithm called the Patch-wise Bright Pixels (PBP) is proposed.

Color Constancy

Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning

no code implementations13 Nov 2019 Chen Xu, Jian Wang, Tianhang Yu, Chuili Kong, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang

In this paper, the downlink packet scheduling problem for cellular networks is modeled, which jointly optimizes throughput, fairness and packet drop rate.

Fairness reinforcement-learning +2

TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation

no code implementations14 Oct 2019 Fan Yang, Xiao Liu, Dongliang He, Chuang Gan, Jian Wang, Chao Li, Fu Li, Shilei Wen

In this work, we introduce a new problem, named as {\em story-preserving long video truncation}, that requires an algorithm to automatically truncate a long-duration video into multiple short and attractive sub-videos with each one containing an unbroken story.

Highlight Detection Video Summarization

FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

no code implementations13 Sep 2019 Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu

In recent years, generative adversarial networks (GANs) and its variants have achieved unprecedented success in image synthesis.

Face Detection Face Recognition +2

Turán Problems for Vertex-disjoint Cliques in Multi-partite Hypergraphs

no code implementations16 Aug 2019 Erica L. L. Liu, Jian Wang

First, we consider a multi-partite version of the Erd\H{o}s matching conjecture and determine $ex_s(K_{n_1, \ldots, n_r}^{(s)}, kK_s^{(s)})$ for $n_1\geq s^3k^2+sr$.

Combinatorics

Realistic Channel Models Pre-training

no code implementations22 Jul 2019 Yourui Huangfu, Jian Wang, Chen Xu, Rong Li, Yiqun Ge, Xianbin Wang, Huazi Zhang, Jun Wang

In this paper, we propose a neural-network-based realistic channel model with both the similar accuracy as deterministic channel models and uniformity as stochastic channel models.

Region-Manipulated Fusion Networks for Pancreatitis Recognition

no code implementations3 Jul 2019 Jian Wang, Xiaoyao Li, Xiangbo Shu, Weiqin Li

Specifically, to effectively highlight the imperceptible lesion regions, a novel region-manipulated scheme in RMFN is proposed to force the lesion regions while weaken the non-lesion regions by ceaselessly aggregating the multi-scale local information onto feature maps.

Object Recognition

Fractional-order Backpropagation Neural Networks: Modified Fractional-order Steepest Descent Method for Family of Backpropagation Neural Networks

no code implementations23 Jun 2019 Yi-Fei PU, Jian Wang

This paper offers a novel mathematical approach, the modified Fractional-order Steepest Descent Method (FSDM) for training BackPropagation Neural Networks (BPNNs); this differs from the majority of the previous approaches and as such.

NIL: Learning Nonlinear Interpolants

no code implementations28 May 2019 Mingshuai Chen, Jian Wang, Jie An, Bohua Zhan, Deepak Kapur, Naijun Zhan

Nonlinear interpolants have been shown useful for the verification of programs and hybrid systems in contexts of theorem proving, model checking, abstract interpretation, etc.

Automated Theorem Proving

Deep Reinforcement Learning for Scheduling in Cellular Networks

no code implementations15 May 2019 Jian Wang, Chen Xu, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang

Integrating artificial intelligence (AI) into wireless networks has drawn significant interest in both industry and academia.

reinforcement-learning reinforcement Learning +1

An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition

1 code implementation Bioinformatics 2019 Ling Luo, Zhihao Yang, Pei Yang, Yin Zhang, Lei Wang, Hongfei Lin, Jian Wang

Motivation: In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction.

Feature Engineering named-entity-recognition +1

Re-Identification Supervised Texture Generation

no code implementations CVPR 2019 Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei

The estimation of 3D human body pose and shape from a single image has been extensively studied in recent years.

Person Re-Identification Texture Synthesis

Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models

no code implementations14 Jan 2019 Yourui Huangfu, Jian Wang, Rong Li, Chen Xu, Xianbin Wang, Huazi Zhang, Jun Wang

Accurate prediction of fading channel in future is essential to realize adaptive transmission and other methods that can save power and provide gains.

Language Modelling Machine Translation +3

Stereoscopic Dark Flash for Low-light Photography

no code implementations5 Jan 2019 Jian Wang, Tianfan Xue, Jonathan T. Barron, Jiawen Chen

In this work, we present a camera configuration for acquiring "stereoscopic dark flash" images: a simultaneous stereo pair in which one camera is a conventional RGB sensor, but the other camera is sensitive to near-infrared and near-ultraviolet instead of R and B.

WECA: A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition

no code implementations EMNLP 2018 Yufeng Diao, Hongfei Lin, Di wu, Liang Yang, Kan Xu, Zhihao Yang, Jian Wang, Shaowu Zhang, Bo Xu, Dongyu Zhang

In this work, we first use WordNet to understand and expand word embedding for settling the polysemy of homographic puns, and then propose a WordNet-Encoded Collocation-Attention network model (WECA) which combined with the context weights for recognizing the puns.

Programmable Triangulation Light Curtains

no code implementations ECCV 2018 Jian Wang, Joseph Bartels, William Whittaker, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan

A vehicle on a road or a robot in the field does not need a full-featured 3D depth sensor to detect potential collisions or monitor its blind spot.

YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles

1 code implementation30 Jul 2018 Tao Li, Lei Lin, Minsoo Choi, Kaiming Fu, Siyuan Gong, Jian Wang

With one billion monthly viewers, and millions of users discussing and sharing opinions, comments below YouTube videos are rich sources of data for opinion mining and sentiment analysis.

Opinion Mining Self-Driving Cars +1

Neural Network Language Modeling with Letter-based Features and Importance Sampling

no code implementations ICASSP 2018 Hainan Xu, Ke Li, Yiming Wang, Jian Wang, Shiyin Kang, Xie Chen, Daniel Povey, Sanjeev Khudanpur

In this paper we describe an extension of the Kaldi software toolkit to support neural-based language modeling, intended for use in automatic speech recognition (ASR) and related tasks.

Automatic Speech Recognition Language Modelling +1

Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases

no code implementations IJCNLP 2017 Xin Zhou, Jian Wang, Xu Xie, Changlong Sun, Luo Si

For word level task our best run achieved MAE 0. 545 (ranked 2nd), PCC 0. 892 (ranked 2nd) in valence prediction and MAE 0. 857 (ranked 1st), PCC 0. 678 (ranked 2nd) in arousal prediction.

Feature Engineering Part-Of-Speech Tagging +1

Premise Selection for Theorem Proving by Deep Graph Embedding

1 code implementation NeurIPS 2017 Mingzhe Wang, Yihe Tang, Jian Wang, Jia Deng

We propose a deep learning-based approach to the problem of premise selection: selecting mathematical statements relevant for proving a given conjecture.

Automated Theorem Proving General Classification +1

Deep Metric Learning with Angular Loss

1 code implementation ICCV 2017 Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin

The modern image search system requires semantic understanding of image, and a key yet under-addressed problem is to learn a good metric for measuring the similarity between images.

Image Retrieval Metric Learning

Crowd Counting Considering Network Flow Constraints in Videos

no code implementations12 May 2016 Liqing Gao, Yanzhang Wang, Xin Ye, Jian Wang

This paper, for the first time, introduces a quadratic programming model with the network flow constraints to improve the accuracy of crowd counting.

Crowd Counting regression

Photometric Stereo With Small Angular Variations

no code implementations ICCV 2015 Jian Wang, Yasuyuki Matsushita, Boxin Shi, Aswin C. Sankaranarayanan

This paper studies the effect of small angular variations in illumination directions to photometric stereo.

LiSens --- A Scalable Architecture for Video Compressive Sensing

1 code implementation14 Mar 2015 Jian Wang, Mohit Gupta, Aswin C. Sankaranarayanan

The measurement rate of cameras that take spatially multiplexed measurements by using spatial light modulators (SLM) is often limited by the switching speed of the SLMs.

Compressive Sensing Video Compressive Sensing

Cross-Modal Similarity Learning : A Low Rank Bilinear Formulation

no code implementations18 Nov 2014 Cuicui Kang, Shengcai Liao, Yonghao He, Jian Wang, Wenjia Niu, Shiming Xiang, Chunhong Pan

A new approach to the problem has been raised which intends to match features of different modalities directly.

Metric Learning Retrieval

Recovery of Sparse Signals Using Multiple Orthogonal Least Squares

no code implementations9 Oct 2014 Jian Wang, Ping Li

We study the problem of recovering sparse signals from compressed linear measurements.

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