b'Hao Liu'

Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search

Bid optimization for online advertising from single advertiser's perspec...
06/08/2021 ∙ by Ziyu Guan, et al. ∙ 0 ∙ share

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JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu

In modern internet industries, deep learning based recommender systems h...
06/03/2021 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras

Vehicle Re-identification aims to identify a specific vehicle across tim...
04/30/2021 ∙ by Junru Chen, et al. ∙ 0 ∙ share

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Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network

Predicting future trajectories of surrounding obstacles is a crucial tas...
03/30/2021 ∙ by Bo Dong, et al. ∙ 6 ∙ share

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PML: Progressive Margin Loss for Long-tailed Age Classification

In this paper, we propose a progressive margin loss (PML) approach for u...
03/03/2021 ∙ by Zongyong Deng, et al. ∙ 0 ∙ share

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Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning

Electric Vehicle (EV) has become a preferable choice in the modern trans...
02/15/2021 ∙ by Weijia Zhang, et al. ∙ 0 ∙ share

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Out-of-Town Recommendation with Travel Intention Modeling

Out-of-town recommendation is designed for those users who leave their h...
01/29/2021 ∙ by Haoran Xin, et al. ∙ 0 ∙ share

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CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation

Electric vehicles have been rapidly increasing in usage, but stations to...
01/28/2021 ∙ by Carter Blum, et al. ∙ 0 ∙ share

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Disentangling Observed Causal Effects from Latent Confounders using Method of Moments

Discovering the complete set of causal relations among a group of variab...
01/17/2021 ∙ by Anqi Liu, et al. ∙ 4 ∙ share

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Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix

This work considers the out-of-distribution (OOD) prediction problem whe...
01/16/2021 ∙ by Ruocheng Guo, et al. ∙ 0 ∙ share

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Spatial Object Recommendation with Hints: When Spatial Granularity Matters

Existing spatial object recommendation algorithms generally treat object...
01/08/2021 ∙ by Hui Luo, et al. ∙ 8 ∙ share

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UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning

Existed pre-training methods either focus on single-modal tasks or multi...
12/31/2020 ∙ by Wei Li, et al. ∙ 0 ∙ share

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Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks

Accurate and timely air quality and weather predictions are of great imp...
12/30/2020 ∙ by Jindong Han, et al. ∙ 0 ∙ share

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Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks

Causal inference explores the causation between actions and the conseque...
11/03/2020 ∙ by Minshuo Chen, et al. ∙ 0 ∙ share

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Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop

We study the problem of balancing effectiveness and efficiency in automa...
10/02/2020 ∙ by Wei Fan, et al. ∙ 49 ∙ share

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DARWIN: A Highly Flexible Platform for Imaging Research in Radiology

To conduct a radiomics or deep learning research experiment, the radiolo...
09/02/2020 ∙ by Lufan Chang, et al. ∙ 16 ∙ share

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Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning

Deep learning has drawn a lot of interest in recent years due to its eff...
08/27/2020 ∙ by Haodi Jiang, et al. ∙ 0 ∙ share

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AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning

In this paper, we study the problem of balancing effectiveness and effic...
08/27/2020 ∙ by Wei Fan, et al. ∙ 12 ∙ share

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Transmitting Extra Bits by Rotating Signal Constellations

In this letter, we propose a novel LDPC coding scheme to transmit extra ...
08/25/2020 ∙ by Jiachen Sun, et al. ∙ 0 ∙ share

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A Color Elastica Model for Vector-Valued Image Regularization

Models related to the Euler's Elastica energy have proven to be very use...
08/19/2020 ∙ by Hao Liu, et al. ∙ 2 ∙ share

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On the Numerical Solution of Nonlinear Eigenvalue Problems for the Monge-Ampère Operator

In this article, we report the results we obtained when investigating th...
08/18/2020 ∙ by Roland Glowinski, et al. ∙ 0 ∙ share

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Hybrid Discriminative-Generative Training via Contrastive Learning

Contrastive learning and supervised learning have both seen significant ...
07/17/2020 ∙ by Hao Liu, et al. ∙ 2 ∙ share

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Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine

Public transportation plays a critical role in people's daily life. It h...
07/11/2020 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Robust PDE Identification from Noisy Data

We propose robust methods to identify underlying Partial Differential Eq...
06/11/2020 ∙ by Yuchen He, et al. ∙ 0 ∙ share

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PuzzleNet: Scene Text Detection by Segment Context Graph Learning

Recently, a series of decomposition-based scene text detection methods h...
02/26/2020 ∙ by Hao Liu, et al. ∙ 14 ∙ share

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An Alternating Direction Explicit Method for Time Evolution Equations with Applications to Fractional Differential Equations

We derive and analyze the alternating direction explicit (ADE) method fo...
02/19/2020 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Curvature Regularized Surface Reconstruction from Point Cloud

We propose a variational functional and fast algorithms to reconstruct i...
01/22/2020 ∙ by Yuchen He, et al. ∙ 0 ∙ share

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Learning functions varying along an active subspace

Many functions of interest are in a high-dimensional space but exhibit l...
01/22/2020 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Deep Learning for 3D Point Clouds: A Survey

Point cloud learning has lately attracted increasing attention due to it...
12/27/2019 ∙ by Yulan Guo, et al. ∙ 156 ∙ share

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A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression

Point cloud based 3D visual representation is becoming popular due to it...
12/20/2019 ∙ by Hao Liu, et al. ∙ 19 ∙ share

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Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos

In this paper, we propose a spatial-temporal relational reasoning networ...
12/16/2019 ∙ by Congcong Zhu, et al. ∙ 24 ∙ share

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Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

The ability to predict city-wide parking availability is crucial for the...
11/24/2019 ∙ by Weijia Zhang, et al. ∙ 0 ∙ share

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Triply Robust Off-Policy Evaluation

We propose a robust regression approach to off-policy evaluation (OPE) f...
11/13/2019 ∙ by Anqi Liu, et al. ∙ 37 ∙ share

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Fast Algorithms for Surface Reconstruction from Point Cloud

We consider constructing a surface from a given set of point cloud data....
07/02/2019 ∙ by Yuchen He, et al. ∙ 0 ∙ share

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Dense Scale Network for Crowd Counting

Crowd counting has been widely studied by computer vision community in r...
06/24/2019 ∙ by Feng Dai, et al. ∙ 6 ∙ share

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Predicting Solar Flares Using a Long Short-Term Memory Network

We present a long short-term memory (LSTM) network for predicting whethe...
05/17/2019 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Estimating Individual Advertising Effect in E-Commerce

Online advertising has been the major monetization approach for Internet...
03/11/2019 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Competitive Experience Replay

Deep learning has achieved remarkable successes in solving challenging r...
02/01/2019 ∙ by Hao Liu, et al. ∙ 4 ∙ share

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Sequence-based Person Attribute Recognition with Joint CTC-Attention Model

Attribute recognition has become crucial because of its wide application...
11/20/2018 ∙ by Hao Liu, et al. ∙ 6 ∙ share

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Variational Inference with Tail-adaptive f-Divergence

Variational inference with α-divergences has been widely used in modern ...
10/29/2018 ∙ by Dilin Wang, et al. ∙ 0 ∙ share

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Adaptive guaranteed-performance consensus design for high-order multiagent systems

The current paper addresses the distributed guaranteed-performance conse...
06/26/2018 ∙ by Jianxiang Xi, et al. ∙ 0 ∙ share

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CIA-Towards a Unified Marketing Optimization Framework for e-Commerce Sponsored Search

As the largest e-commerce platform, Taobao helps advertisers reach billi...
06/15/2018 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Large-scale Bisample Learning on ID vs. Spot Face Recognition

In many face recognition applications, there is large amount of face dat...
06/08/2018 ∙ by Xiangyu Zhu, et al. ∙ 2 ∙ share

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Dynamic Output Feedback Guaranteed-Cost Synchronization for Multiagent Networks with Given Cost Budgets

The current paper addresses the distributed guaranteed-cost synchronizat...
02/22/2018 ∙ by Jianxiang Xi, et al. ∙ 0 ∙ share

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On Connecting Stochastic Gradient MCMC and Differential Privacy

Significant success has been realized recently on applying machine learn...
12/25/2017 ∙ by Bai Li, et al. ∙ 0 ∙ share

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Sample-efficient Policy Optimization with Stein Control Variate

Policy gradient methods have achieved remarkable successes in solving ch...
10/30/2017 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions

Deep neural networks are widely used for classification. These deep mode...
10/13/2017 ∙ by Oscar Li, et al. ∙ 0 ∙ share

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Triangle Generative Adversarial Networks

A Triangle Generative Adversarial Network (Δ-GAN) is developed for semi-...
09/19/2017 ∙ by Zhe Gan, et al. ∙ 0 ∙ share

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ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

We investigate the non-identifiability issues associated with bidirectio...
09/05/2017 ∙ by Chunyuan Li, et al. ∙ 0 ∙ share

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Neural Person Search Machines

We investigate the problem of person search in the wild in this work. In...
07/21/2017 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Hao Liu

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