Yi Wu

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PhD Student at University of Carolina Berkeley

FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia

Existing deep learning technologies generally learn the features of ches...
04/26/2021 ∙ by Longling Zhang, et al. ∙ 0 ∙ share

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Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels

Graph neural networks (GNNs) have achieved tremendous success in graph m...
04/07/2021 ∙ by Qingqing Long, et al. ∙ 0 ∙ share

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Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification

Recently, video-based person re-identification (re-ID) has drawn increas...
03/21/2021 ∙ by Guoqing Zhang, et al. ∙ 0 ∙ share

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The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games

Proximal Policy Optimization (PPO) is a popular on-policy reinforcement ...
03/02/2021 ∙ by Chao Yu, et al. ∙ 7 ∙ share

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Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers

Unsupervised extractive document summarization aims to select important ...
10/16/2020 ∙ by Shusheng Xu, et al. ∙ 0 ∙ share

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Streaming Graph Neural Networks via Continual Learning

Graph neural networks (GNNs) have achieved strong performance in various...
09/23/2020 ∙ by Junshan Wang, et al. ∙ 12 ∙ share

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Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification

Extracting effective and discriminative features is very important for a...
09/16/2020 ∙ by Guoqing Zhang, et al. ∙ 0 ∙ share

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Multi-Authority Ciphertext-Policy Attribute Based Encryption With Accountability

Attribute-based encryption (ABE) is a promising tool for implementing fi...
09/10/2020 ∙ by Wei Zhang, et al. ∙ 0 ∙ share

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Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation

Deformation field estimation is an important and challenging issue in ma...
04/16/2020 ∙ by Yujia Zhou, et al. ∙ 0 ∙ share

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Multi-Task Reinforcement Learning with Soft Modularization

Multi-task learning is a very challenging problem in reinforcement learn...
03/30/2020 ∙ by Ruihan Yang, et al. ∙ 12 ∙ share

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SaccadeNet: A Fast and Accurate Object Detector

Object detection is an essential step towards holistic scene understandi...
03/26/2020 ∙ by Shiyi Lan, et al. ∙ 0 ∙ share

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Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

In multi-agent games, the complexity of the environment can grow exponen...
03/23/2020 ∙ by Qian Long, et al. ∙ 9 ∙ share

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SQLFlow: A Bridge between SQL and Machine Learning

Industrial AI systems are mostly end-to-end machine learning (ML) workfl...
01/19/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Influence-Based Multi-Agent Exploration

Intrinsically motivated reinforcement learning aims to address the explo...
10/12/2019 ∙ by Tonghan Wang, et al. ∙ 17 ∙ share

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PPGAN: Privacy-preserving Generative Adversarial Network

Generative Adversarial Network (GAN) and its variants serve as a perfect...
10/04/2019 ∙ by YI LIU, et al. ∙ 0 ∙ share

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Emergent Tool Use From Multi-Agent Autocurricula

Through multi-agent competition, the simple objective of hide-and-seek, ...
09/17/2019 ∙ by Bowen Baker, et al. ∙ 2 ∙ share

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Bayesian Relational Memory for Semantic Visual Navigation

We introduce a new memory architecture, Bayesian Relational Memory (BRM)...
09/10/2019 ∙ by Yi Wu, et al. ∙ 26 ∙ share

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Fairness in Recommendation Ranking through Pairwise Comparisons

Recommender systems are one of the most pervasive applications of machin...
03/02/2019 ∙ by Alex Beutel, et al. ∙ 14 ∙ share

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Dominant Dataset Selection Algorithms for Time-Series Data Based on Linear Transformation

With the explosive growth of time-series data, the scale of time-series ...
03/01/2019 ∙ by Yi Wu, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Green Security Games with Real-Time Information

Green Security Games (GSGs) have been proposed and applied to optimize p...
11/06/2018 ∙ by Yufei Wang, et al. ∙ 0 ∙ share

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Learning and Planning with a Semantic Model

Building deep reinforcement learning agents that can generalize and adap...
09/28/2018 ∙ by Yi Wu, et al. ∙ 4 ∙ share

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Robust Fuzzy-Learning For Partially Overlapping Channels Allocation In UAV Communication Networks

In this paper, we consider a mesh-structured unmanned aerial vehicle (UA...
06/28/2018 ∙ by Chaoqiong Fan, et al. ∙ 0 ∙ share

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Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms

Despite the recent successes of probabilistic programming languages (PPL...
06/06/2018 ∙ by Yi Wu, et al. ∙ 0 ∙ share

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On Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms

Despite of the recent successes of probabilistic programming languages (...
06/06/2018 ∙ by Yi Wu, et al. ∙ 0 ∙ share

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Near-Linear Time Local Polynomial Nonparametric Estimation

Local polynomial regression (Fan & Gijbels, 1996) is an important class ...
02/26/2018 ∙ by Yining Wang, et al. ∙ 0 ∙ share

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Building Generalizable Agents with a Realistic and Rich 3D Environment

Towards bridging the gap between machine and human intelligence, it is o...
01/07/2018 ∙ by Yi Wu, et al. ∙ 0 ∙ share

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Neural Block Sampling

Efficient Monte Carlo inference often requires manual construction of mo...
08/21/2017 ∙ by Tongzhou Wang, et al. ∙ 0 ∙ share

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CoupleNet: Coupling Global Structure with Local Parts for Object Detection

The region-based Convolutional Neural Network (CNN) detectors such as Fa...
08/09/2017 ∙ by Yousong Zhu, et al. ∙ 0 ∙ share

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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

We explore deep reinforcement learning methods for multi-agent domains. ...
06/07/2017 ∙ by Ryan Lowe, et al. ∙ 0 ∙ share

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Swift: Compiled Inference for Probabilistic Programming Languages

A probabilistic program defines a probability measure over its semantic ...
06/30/2016 ∙ by Yi Wu, et al. ∙ 0 ∙ share

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Towards Practical Bayesian Parameter and State Estimation

Joint state and parameter estimation is a core problem for dynamic Bayes...
03/29/2016 ∙ by Yusuf Bugra Erol, et al. ∙ 0 ∙ share

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Value Iteration Networks

We introduce the value iteration network (VIN): a fully differentiable n...
02/09/2016 ∙ by Aviv Tamar, et al. ∙ 0 ∙ share

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Adaptive Compressive Tracking via Online Vector Boosting Feature Selection

Recently, the compressive tracking (CT) method has attracted much attent...
04/21/2015 ∙ by Qingshan Liu, et al. ∙ 0 ∙ share

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Robust Visual Tracking via Convolutional Networks

Deep networks have been successfully applied to visual tracking by learn...
01/19/2015 ∙ by Kaihua Zhang, et al. ∙ 0 ∙ share

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Dual-Space Analysis of the Sparse Linear Model

Sparse linear (or generalized linear) models combine a standard likeliho...
07/10/2012 ∙ by David Wipf, et al. ∙ 0 ∙ share

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Agnostic Learning of Monomials by Halfspaces is Hard

We prove the following strong hardness result for learning: Given a dist...
12/03/2010 ∙ by Vitaly Feldman, et al. ∙ 0 ∙ share

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Yi Wu

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