Bo Liu

GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values

We present GradientDICE for estimating the density ratio between the sta...
01/29/2020 ∙ by Shangtong Zhang, et al. ∙ 51 ∙ share

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Provably Convergent Off-Policy Actor-Critic with Function Approximation

We present the first provably convergent off-policy actor-critic algorit...
11/11/2019 ∙ by Shangtong Zhang, et al. ∙ 26 ∙ share

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Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons

Conditional generative adversarial networks have shown exceptional gener...
11/21/2019 ∙ by Ligong Han, et al. ∙ 24 ∙ share

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Object-Guided Instance Segmentation for Biological Images

Instance segmentation of biological images is essential for studying obj...
11/20/2019 ∙ by Jingru Yi, et al. ∙ 21 ∙ share

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Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs

We present the DualSMC network that solves continuous POMDPs by learning...
09/28/2019 ∙ by Yunbo Wang, et al. ∙ 15 ∙ share

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Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network

Due to a variety of motions across different frames, it is highly challe...
01/02/2020 ∙ by Jin Chen, et al. ∙ 13 ∙ share

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PACMAN: A Planner-Actor-Critic Architecture for Human-Centered Planning and Learning

Conventional reinforcement learning (RL) allows an agent to learn polici...
06/17/2019 ∙ by Daoming Lyu, et al. ∙ 5 ∙ share

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Dual Temporal Memory Network for Efficient Video Object Segmentation

Video Object Segmentation (VOS) is typically formulated in a semi-superv...
03/13/2020 ∙ by Kaihua Zhang, et al. ∙ 3 ∙ share

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Deep Object Co-segmentation via Spatial-Semantic Network Modulation

Object co-segmentation is to segment the shared objects in multiple rele...
11/29/2019 ∙ by Kaihua Zhang, et al. ∙ 1 ∙ share

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DCAR: A Discriminative and Compact Audio Representation to Improve Event Detection

This paper presents a novel two-phase method for audio representation, D...
07/15/2016 ∙ by Liping Jing, et al. ∙ 0 ∙ share

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O^2TD: (Near)-Optimal Off-Policy TD Learning

Temporal difference learning and Residual Gradient methods are the most ...
04/17/2017 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization

Iterative Hard Thresholding (IHT) is a class of projected gradient desce...
03/01/2017 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Regression-based Hypergraph Learning for Image Clustering and Classification

Inspired by the recently remarkable successes of Sparse Representation (...
03/14/2016 ∙ by Sheng Huang, et al. ∙ 0 ∙ share

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Sparse Q-learning with Mirror Descent

This paper explores a new framework for reinforcement learning based on ...
10/16/2012 ∙ by Sridhar Mahadevan, et al. ∙ 0 ∙ share

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Bayesian Analysis for miRNA and mRNA Interactions Using Expression Data

MicroRNAs (miRNAs) are small RNA molecules composed of 19-22 nt, which p...
10/12/2012 ∙ by Mingjun Zhong, et al. ∙ 0 ∙ share

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Feature Space Transfer for Data Augmentation

The problem of data augmentation in feature space is considered. A new a...
01/13/2018 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making

Reinforcement learning and symbolic planning have both been used to buil...
04/20/2018 ∙ by Fangkai Yang, et al. ∙ 0 ∙ share

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Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model

Recent years have seen rising needs for location-based services in our e...
05/16/2018 ∙ by Sina Shaham, et al. ∙ 0 ∙ share

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Constrained-size Tensorflow Models for YouTube-8M Video Understanding Challenge

This paper presents our 10th place solution to the second YouTube-8M vid...
08/21/2018 ∙ by Tianqi Liu, et al. ∙ 0 ∙ share

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A Block Coordinate Ascent Algorithm for Mean-Variance Optimization

Risk management in dynamic decision problems is a primary concern in man...
09/07/2018 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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SDRL: Interpretable and Data-efficient Deep Reinforcement LearningLeveraging Symbolic Planning

Deep reinforcement learning (DRL) has gained great success by learning d...
10/31/2018 ∙ by Daoming Lyu, et al. ∙ 0 ∙ share

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QUOTA: The Quantile Option Architecture for Reinforcement Learning

In this paper, we propose the Quantile Option Architecture (QUOTA) for e...
11/05/2018 ∙ by Shangtong Zhang, et al. ∙ 0 ∙ share

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SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning

Deep reinforcement learning (DRL) has gained great success by learning d...
10/31/2018 ∙ by Daoming Lyu, et al. ∙ 0 ∙ share

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Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning

Dantzig Selector (DS) is widely used in compressed sensing and sparse le...
11/02/2018 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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A Container-based DoS Attack-Resilient Control Framework for Real-Time UAV Systems

The Unmanned aerial vehicles (UAVs) sector is fast-expanding. Protection...
12/06/2018 ∙ by Jiyang Chen, et al. ∙ 0 ∙ share

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Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect

Lung cancer is the commonest cause of cancer deaths worldwide, and its m...
01/23/2019 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Viconmavlink: A software tool for indoor positioning using a motion capture system

Motion capture is a widely-used technology in robotics research thanks t...
11/28/2018 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Robust Matrix Completion State Estimation in Distribution Systems

Due to the insufficient measurements in the distribution system state es...
02/06/2019 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Predicting pregnancy using large-scale data from a women's health tracking mobile application

Predicting pregnancy has been a fundamental problem in women's health fo...
12/05/2018 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Machine Learning Aided Anonymization of Spatiotemporal Trajectory Datasets

The big data era requires a growing number of companies to publish their...
02/24/2019 ∙ by Sina Shaham, et al. ∙ 0 ∙ share

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Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process

Complex social systems are composed of interconnected individuals whose ...
05/07/2019 ∙ by Wen Dong, et al. ∙ 0 ∙ share

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Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge

We present our 7th place solution to the Gendered Pronoun Resolution cha...
05/06/2019 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks

Visible watermark plays an important role in image copyright protection ...
05/30/2019 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes

Most existing methods handle cell instance segmentation problems directl...
07/22/2019 ∙ by Jingru Yi, et al. ∙ 0 ∙ share

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Non-uniqueness phenomenon of object representation in modelling IT cortex by deep convolutional neural network (DCNN)

Recently DCNN (Deep Convolutional Neural Network) has been advocated as ...
06/06/2019 ∙ by Qiulei Dong, et al. ∙ 0 ∙ share

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Transfer Learning-Based Label Proportions Method with Data of Uncertainty

Learning with label proportions (LLP), which is a learning task that onl...
08/19/2019 ∙ by Yanshan Xiao, et al. ∙ 0 ∙ share

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Optimal Function Approximation with Relu Neural Networks

We consider in this paper the optimal approximations of convex univariat...
09/09/2019 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Heterogeneous Deep Graph Infomax

Graph representation learning is to learn universal node representations...
11/19/2019 ∙ by Yuxiang Ren, et al. ∙ 0 ∙ share

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A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming

Recent successes of Reinforcement Learning (RL) allow an agent to learn ...
09/18/2019 ∙ by Daoming Lyu, et al. ∙ 0 ∙ share

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FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10

Deep learning and Convolutional Neural Network (CNN) have becoming incre...
11/18/2019 ∙ by Ke He, et al. ∙ 0 ∙ share

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Understanding Global Loss Landscape of One-hidden-layer ReLU Neural Networks

For one-hidden-layer ReLU networks, we show that all local minima are gl...
02/12/2020 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Shannon-Limit Approached Information Reconciliation for Quantum Key Distribution

Information reconciliation (IR) corrects the errors in sifted keys and e...
03/08/2020 ∙ by Bang-Ying Tang, et al. ∙ 0 ∙ share

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Geometry and Topology of Deep Neural Networks' Decision Boundaries

Geometry and topology of decision regions are closely related with class...
03/07/2020 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection

Co-saliency detection aims to discover the common and salient foreground...
03/13/2020 ∙ by Kaihua Zhang, et al. ∙ 0 ∙ share

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Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition

Multiview recognition has been well studied in the literature and achiev...
03/28/2020 ∙ by Chih-Hui Ho, et al. ∙ 0 ∙ share

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Bo Liu

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