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SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations

Nov 21, 2020
Hao-Zhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen

* 12 pages, 6 figures, under review of AAAI 2021 

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KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation

Nov 19, 2020
Hao-Zhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen

* 12 pages, 5 figures, under review of AAAI 2021 

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Online Influence Maximization under Linear Threshold Model

Nov 12, 2020
Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen

* 29 pages 

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Federated Learning via Intelligent Reflecting Surface

Nov 12, 2020
Zhibin Wang, Jiahang Qiu, Yong Zhou, Yuanming Shi, Liqun Fu, Wei Chen, Khaled B. Lataief


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Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance

Nov 09, 2020
Xiao Gong, Xi Chen, Wei Chen

* 11 pages, submitted 

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Latent Causal Invariant Model

Nov 04, 2020
Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-yan Liu


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Learning Causal Semantic Representation for Out-of-Distribution Prediction

Nov 03, 2020
Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu


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Fast Convergence Algorithm for Analog Federated Learning

Oct 30, 2020
Shuhao Xia, Jingyang Zhu, Yuhan Yang, Yong Zhou, Yuanming Shi, Wei Chen


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Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth

Oct 29, 2020
Wei Chen, Bowen Zhang, Shi Jin, Bo Ai, Zhangdui Zhong

* IEEE Journal on Selected Areas in Communications (JSAC), accepted 

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New Ideas and Trends in Deep Multimodal Content Understanding: A Review

Oct 16, 2020
Wei Chen, Weiping Wang, Li Liu, Michael S. Lew

* Accepted by Neurocomputing 

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On the Exploration of Incremental Learning for Fine-grained Image Retrieval

Oct 15, 2020
Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael Lew

* BMVC2020 

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Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors

Oct 09, 2020
Min Zhao, Tiande Gao, Jie Chen, Wei Chen


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Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net

Sep 28, 2020
Chuanbo Wang, Ye Guo, Wei Chen, Zeyun Yu


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ChoreoNet: Towards Music to Dance Synthesis with Choreographic Action Unit

Sep 16, 2020
Zijie Ye, Haozhe Wu, Jia Jia, Yaohua Bu, Wei Chen, Fanbo Meng, Yanfeng Wang

* 10 pages, 5 figures, Accepted by ACM MM 2020 

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MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization

Sep 15, 2020
Wei Chen, Faez Ahmed


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Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics

Sep 07, 2020
Wei Zeng, Chengqiao Lin, Juncong Lin, Jincheng Jiang, Jiazhi Xia, Cagatay Turkay, Wei Chen


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New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design

Aug 25, 2020
Kartikeya Bhardwaj, Wei Chen, Radu Marculescu

* This preprint is for personal use only. The official article will appear in proceedings of Design Automation Conference (DAC), 2020. This work was presented at the DAC 2020 special session on Edge-to-Cloud Neural Networks for Machine Learning Applications in Future IoT Systems 

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Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms

Aug 11, 2020
Yanna Bai, Wei Chen, Jie Chen, Weisi Guo

* 60 pages; Publication in (Elsevier) Signal Processing, 2020 

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Global Context Aware Convolutions for 3D Point Cloud Understanding

Aug 07, 2020
Zhiyuan Zhang, Binh-Son Hua, Wei Chen, Yibin Tian, Sai-Kit Yeung


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Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification

Aug 06, 2020
Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

* Accepted by ACM MM 2020 poster. 12 pages, 10 appendixes 

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SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization

Jul 30, 2020
Jiazhi Xia, Tianxiang Chen, Lei Zhang, Wei Chen, Yang Chen, Xiaolong Zhang, Cong Xie, Tobias Schreck

* 12 pages, 10 figures. Conditionally accepted by VAST 2020 

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Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary

Jul 21, 2020
Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu


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MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement

Jul 07, 2020
Wei Chen, Faez Ahmed

* arXiv admin note: text overlap with arXiv:2002.11304 

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Optimization from Structured Samples for Coverage Functions

Jul 06, 2020
Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang

* To appear in ICML 2020 

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Dynamic of Stochastic Gradient Descent with State-Dependent Noise

Jul 06, 2020
Qi Meng, Shiqi Gong, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu


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A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises

Jul 02, 2020
Bo Lu, Wei Chen, Yue-Ming Jin, Dandan Zhang, Qi Dou, Henry K. Chu, Pheng-Ann Heng, Yun-Hui Liu


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Molecular Latent Space Simulators

Jul 01, 2020
Hythem Sidky, Wei Chen, Andrew L. Ferguson


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Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks

Jun 27, 2020
Wei Chen, Kevin Chiu, Mark Fuge


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