Search Results for author: Yao Zhou

Found 11 papers, 3 papers with code

A Neural Vocoder Based Packet Loss Concealment Algorithm

no code implementations26 Mar 2022 Yao Zhou, Changchun Bao

The packet loss problem seriously affects the quality of service in Voice over IP (VoIP) sceneries.

From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems

no code implementations28 Oct 2021 Yao Zhou, Haonan Wang, Jingrui He, Haixun Wang

With the prevalence of deep learning based embedding approaches, recommender systems have become a proven and indispensable tool in various information filtering applications.

Explainable Models Explainable Recommendation +1

Robust Federated Learning for Neural Networks

no code implementations1 Jan 2021 Yao Zhou, Jun Wu, Jingrui He

In federated learning, data is distributed among local clients which collaboratively train a prediction model using secure aggregation.

Federated Learning

GAN-based Recommendation with Positive-Unlabeled Sampling

no code implementations12 Dec 2020 Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Korpeoglu, Kannan Achan, Jingrui He

Recommender systems are popular tools for information retrieval tasks on a large variety of web applications and personalized products.

Information Retrieval Recommendation Systems +1

Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning

1 code implementation18 Sep 2020 Yao Zhou, Jun Wu, Haixun Wang, Jingrui He

In this work, we show that this paradigm might inherit the adversarial vulnerability of the centralized neural network, i. e., it has deteriorated performance on adversarial examples when the model is deployed.

Adversarial Robustness Federated Learning +1

DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving

no code implementations ECCV 2020 Yao Zhou, Guowei Wan, Shenhua Hou, Li Yu, Gang Wang, Xiaofei Rui, Shiyu Song

We present a visual localization framework based on novel deep attention aware features for autonomous driving that achieves centimeter level localization accuracy.

Autonomous Driving Deep Attention +1

Learning Efficient Video Representation with Video Shuffle Networks

no code implementations26 Nov 2019 Pingchuan Ma, Yao Zhou, Yu Lu, Wei zhang

To this end, we propose the video shuffle, a parameter-free plug-in component that efficiently reallocates the inputs of 2D convolution so that its receptive field can be extended to the temporal dimension.

Video Recognition

DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration

no code implementations10 May 2019 Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, Shiyu Song

We present DeepICP - a novel end-to-end learning-based 3D point cloud registration framework that achieves comparable registration accuracy to prior state-of-the-art geometric methods.

Point Cloud Registration

Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching

no code implementations23 Jun 2018 Yao Zhou, Jingrui He

The unprecedented demand for large amount of data has catalyzed the trend of combining human insights with machine learning techniques, which facilitate the use of crowdsourcing to enlist label information both effectively and efficiently.

Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners

1 code implementation17 Apr 2018 Yao Zhou, Arun Reddy Nelakurthi, Jingrui He

With the increasing demand for large amount of labeled data, crowdsourcing has been used in many large-scale data mining applications.

Modelling Sentence Pairs with Tree-structured Attentive Encoder

1 code implementation COLING 2016 Yao Zhou, Cong Liu, Yan Pan

We describe an attentive encoder that combines tree-structured recursive neural networks and sequential recurrent neural networks for modelling sentence pairs.

Paraphrase Identification Question Selection +1

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