Search Results for author: Jing Xu

Found 35 papers, 7 papers with code

Boosting Graph Search with Attention Network for Solving the General Orienteering Problem

no code implementations10 Sep 2021 Zongtao Liu, Jing Xu, Jintao Su, Tao Xiao, Yang Yang

We propose a novel combination of a variant beam search algorithm and a learned heuristic for solving the general orienteering problem.

Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net

no code implementations17 Aug 2021 Yu Qiu, Yun Liu, Le Zhang, Jing Xu

The asymmetric bilateral encoder has a transformer path and a lightweight CNN path, where the two paths communicate at each encoder stage to learn complementary global contexts and local spatial details, respectively.

Object Detection Salient Object Detection

Can You Hear It? Backdoor Attacks via Ultrasonic Triggers

no code implementations30 Jul 2021 Stefanos Koffas, Jing Xu, Mauro Conti, Stjepan Picek

In this work, we explore the option of backdoor attacks to automatic speech recognition systems where we inject inaudible triggers.

automatic-speech-recognition Speech Recognition

Beyond Goldfish Memory: Long-Term Open-Domain Conversation

no code implementations15 Jul 2021 Jing Xu, Arthur Szlam, Jason Weston

Despite recent improvements in open-domain dialogue models, state of the art models are trained and evaluated on short conversations with little context.

FedCM: Federated Learning with Client-level Momentum

no code implementations21 Jun 2021 Jing Xu, Sen Wang, LiWei Wang, Andrew Chi-Chih Yao

Federated Learning is a distributed machine learning approach which enables model training without data sharing.

Federated Learning

On Anytime Learning at Macroscale

no code implementations17 Jun 2021 Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer

This creates a natural trade-off between accuracy of a model and time to obtain such a model.

Bot-Adversarial Dialogue for Safe Conversational Agents

no code implementations NAACL 2021 Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, Emily Dinan

Conversational agents trained on large unlabeled corpora of human interactions will learn patterns and mimic behaviors therein, which include offensive or otherwise toxic behavior.

Improving Facial Attribute Recognition by Group and Graph Learning

no code implementations28 May 2021 Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao

For the spatial correlation, we aggregate attributes with spatial similarity into a part-based group and then introduce a Group Attention Learning to generate the group attention and the part-based group feature.

Graph Learning

AFINet: Attentive Feature Integration Networks for Image Classification

no code implementations10 May 2021 Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, WenXiang Lin, Kun Bai, Zenglin Xu

Convolutional Neural Networks (CNNs) have achieved tremendous success in a number of learning tasks including image classification.

Classification General Classification +1

Noise Attention based Spectrum Anomaly Detection Method for Unauthorized Bands

no code implementations17 Apr 2021 Jing Xu, Yu Tian, Shuai Yuan, Naijin Liu

In this paper, a noise attention method is proposed for unsupervised spectrum anomaly detection in unauthorized bands.

Anomaly Detection

Optically reconfigurable quantum spin-valley Hall effect of light in coupled nonlinear ring resonator lattice

no code implementations17 Feb 2021 Haofan Yang, Jing Xu, Zhongfei Xiong, Xinda Lu, Ruo-Yang Zhang, Yuntian Chen, Shuang Zhang

In optics, various photonic topological circuits have been developed, which were based on classical emulation of either quantum spin Hall effect or quantum valley Hall effect.

Optics

MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance

1 code implementation25 Jan 2021 Jing Xu, Tszhang Guo, Yong Xu, Zenglin Xu, Kun Bai

Deep Convolutional Neural Networks (DCNNs) and their variants have been widely used in large scale face recognition(FR) recently.

Face Recognition

Non-Ohmic negative longitudinal magnetoresistance in two-dimensional electron gas

no code implementations21 Jan 2021 Yang-Yang Lyu, Xian-Jing Zhou, Zhi-Li Xiao, Roxanna Fotovat, Jing Xu, Gobind Basnet, Yong-Lei Wang, Dafei Jin, Ralu Divan, Hua-Bing Wang, Wai-Kwong Kwok

Negative longitudinal magnetoresistance (NLMR) has been reported in a variety of materials and has attracted extensive attention as an electrotransport hallmark of topological Weyl semimetals.

Materials Science Mesoscale and Nanoscale Physics

Learning Contextual Perturbation Budgets for Training Robust Neural Networks

no code implementations1 Jan 2021 Jing Xu, Zhouxing Shi, huan zhang, JinFeng Yi, Cho-Jui Hsieh, LiWei Wang

We also demonstrate that the perturbation budget generator can produce semantically-meaningful budgets, which implies that the generator can capture contextual information and the sensitivity of different features in a given image.

AFINets: Attentive Feature Integration Networks for Image Classification

no code implementations1 Jan 2021 Xinglin Pan, Jing Xu, Yu Pan, WenXiang Lin, Liangjian Wen, Zenglin Xu

Convolutional Neural Networks (CNNs) have achieved tremendous success in a number of learning tasks, e. g., image classification.

Classification General Classification +1

Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks

1 code implementation NeurIPS 2020 Jing Xu, Fangwei Zhong, Yizhou Wang

Maximum target coverage by adjusting the orientation of distributed sensors is an important problem in directional sensor networks (DSNs).

Recipes for Safety in Open-domain Chatbots

no code implementations14 Oct 2020 Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, Emily Dinan

Models trained on large unlabeled corpora of human interactions will learn patterns and mimic behaviors therein, which include offensive or otherwise toxic behavior and unwanted biases.

Integrated Communication and Localization in mmWave Systems

no code implementations28 Sep 2020 Jie Yang, Jing Xu, Xiao Li, Shi Jin, Bo Gao

As the fifth-generation (5G) mobile communication system is being commercialized, extensive studies on the evolution of 5G and sixth-generation mobile communication systems have been conducted.

Optimization-driven Hierarchical Learning Framework for Wireless Powered Backscatter-aided Relay Communications

no code implementations4 Aug 2020 Shimin Gong, Yuze Zou, Jing Xu, Dinh Thai Hoang, Bin Lyu, Dusit Niyato

In this paper, we employ multiple wireless-powered relays to assist information transmission from a multi-antenna access point to a single-antenna receiver.

MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

1 code implementation21 Apr 2020 Yu Qiu, Yun Liu, Shijie Li, Jing Xu

On the other hand, fast training/testing and low computational cost are also necessary for quick deployment and development of COVID-19 screening systems, but traditional deep learning methods are usually computationally intensive.

COVID-19 Diagnosis Semantic Segmentation

Pose-Assisted Multi-Camera Collaboration for Active Object Tracking

no code implementations15 Jan 2020 Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang

In the system, each camera is equipped with two controllers and a switcher: The vision-based controller tracks targets based on observed images.

Object Tracking

S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes

no code implementations31 Oct 2019 Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su

Grasping is among the most fundamental and long-lasting problems in robotics study.

Point-Based Multi-View Stereo Network

1 code implementation ICCV 2019 Rui Chen, Songfang Han, Jing Xu, Hao Su

More specifically, our method predicts the depth in a coarse-to-fine manner.

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

1 code implementation19 Nov 2018 Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu

Recurrent Neural Networks (RNNs) and their variants, such as Long-Short Term Memory (LSTM) networks, and Gated Recurrent Unit (GRU) networks, have achieved promising performance in sequential data modeling.

Action Recognition Tensor Decomposition

The Function Transformation Omics - Funomics

no code implementations17 Aug 2018 Yongshuai Jiang, Jing Xu, Simeng Hu, Di Liu, Linna Zhao, Xu Zhou

Function transformation, such as f(x, y) and f(x, y, z), can transform two, three, or multiple input/observation variables (in biology, it generally refers to the observed/measured value of biomarkers, biological characteristics, or other indicators) into a new output variable (new characteristics or indicators).

Deep Boosting: Layered Feature Mining for General Image Classification

no code implementations3 Feb 2015 Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu

Constructing effective representations is a critical but challenging problem in multimedia understanding.

Classification General Classification +1

Intrusion Detection using Continuous Time Bayesian Networks

no code implementations16 Jan 2014 Jing Xu, Christian R. Shelton

For HIDS, we develop a novel learning method to deal with the finite resolution of system log file time stamps, without losing the benefits of our continuous time model.

Anomaly Detection Intrusion Detection

How memory biases affect information transmission: A rational analysis of serial reproduction

no code implementations NeurIPS 2008 Jing Xu, Thomas L. Griffiths

Many human interactions involve pieces of information being passed from one person to another, raising the question of how this process of information transmission is affected by the capacities of the agents involved.

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