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Wei Chen

IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures


Mar 03, 2021
Jun Wang, Wei Chen, Mark Fuge, Rahul Rai

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Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning


Feb 26, 2021
Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu

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* Published as a conference paper at ICLR 2021. Source code available at https://github.com/dayu11/Gradient-Embedding-Perturbation 
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Combinatorial Pure Exploration with Bottleneck Reward Function and its Extension to General Reward Functions


Feb 24, 2021
Yihan Du, Yuko Kuroki, Wei Chen


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Multi-Scale Cost Volumes Cascade Network for Stereo Matching


Feb 03, 2021
Xiaogang Jia, Wei Chen, Zhengfa Liang, Yusong Tan, Mingfei Wu

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Deep Image Retrieval: A Survey


Feb 03, 2021
Wei Chen, Yu Liu, Weiping Wang, Erwin Bakker, Theodoros Georgiou, Paul Fieguth, Li Liu, Michael S. Lew

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* 20 pages, 11 figures 
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UAV-Assisted Over-the-Air Computation


Jan 25, 2021
Min Fu, Yong Zhou, Yuanming Shi, Ting Wang, Wei Chen

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* 6 pages, 5 figures. This paper has been accepted by Pro. IEEE Int. Conf. Commun. (ICC), Jun. 2021 
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BN-invariant sharpness regularizes the training model to better generalization


Jan 08, 2021
Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

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* Published in IJCAI2019 
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Towards Accelerating Training of Batch Normalization: A Manifold Perspective


Jan 08, 2021
Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma

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Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation


Jan 07, 2021
Wei Chen, Arun Ramamurthy

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FDMT: A Benchmark Dataset for Fine-grained Domain Adaptation in Machine Translation


Dec 31, 2020
Wenhao Zhu, Shujian Huang, Tong Pu, Xu Zhang, Jian Yu, Wei Chen, Yanfeng Wang, Jiajun Chen

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A Plug-and-Play Priors Framework for Hyperspectral Unmixing


Dec 31, 2020
Min zhao, Xiuheng Wang, Jie Chen, Wei Chen

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* IEEE Trans. Geosci. Remote sens, to be published. Manuscript submitted September 28, 2020; revised November 30, 2020 and accepted December 22, 2020 
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Time Series Domain Adaptation via Sparse Associative Structure Alignment


Dec 22, 2020
Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang

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Identifying Invariant Texture Violation for Robust Deepfake Detection


Dec 19, 2020
Xinwei Sun, Botong Wu, Wei Chen

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The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks


Dec 11, 2020
Bohan Wang, Qi Meng, Wei Chen


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


Dec 08, 2020
Hao-Zhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen

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* 12 pages, 5 figures 
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SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations


Dec 08, 2020
Hao-Zhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen

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* 12 pages, 6 figures, Accepted for presentation at AAAI2021 
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Multitask machine learning of collective variables for enhanced sampling of rare events


Dec 07, 2020
Lixin Sun, Jonathan Vandermause, Simon Batzner, Yu Xie, David Clark, Wei Chen, Boris Kozinsky

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* 10 pages, 8 figures, presented in MRS 2020 Fall 
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Maximizing Social Welfare in a Competitive Diffusion Model


Dec 06, 2020
Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan

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Online Influence Maximization under Linear Threshold Model


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

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* 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

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* 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

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