Zheng Wang

Universal Weighting Metric Learning for Cross-Modal Matching

Cross-modal matching has been a highlighted research topic in both visio...
10/07/2020 ∙ by Jiwei Wei, et al. ∙ 5 ∙ share

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Modeling and analysis of driver behavior under shared control through weighted visual and haptic guidance

For the optimum design of a driver-automation shared control system, an ...
10/07/2020 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks

With the increasing popularity of graph-based learning, graph neural net...
09/22/2020 ∙ by Boyuan Feng, et al. ∙ 0 ∙ share

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Adaptive driver-automation shared steering control via forearm surface electromyography measurement

Shared steering control has been developed to reduce driver workload whi...
09/09/2020 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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DTDN: Dual-task De-raining Network

Removing rain streaks from rainy images is necessary for many tasks in c...
08/21/2020 ∙ by Zheng Wang, et al. ∙ 4 ∙ share

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Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer

Unsupervised crowd counting is a challenging yet not largely explored ta...
08/12/2020 ∙ by Yuting Liu, et al. ∙ 0 ∙ share

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Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market

We present Luce, the first life-long predictive model for automated prop...
08/12/2020 ∙ by Hao Peng, et al. ∙ 0 ∙ share

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Exploring Image Enhancement for Salient Object Detection in Low Light Images

Low light images captured in a non-uniform illumination environment usua...
07/31/2020 ∙ by Xin Xu, et al. ∙ 0 ∙ share

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Surface Electromyography-controlled Pedestrian Collision Avoidance: A Driving Simulator Study

Drivers with disabilities such as hemiplegia or unilateral upper limb am...
07/24/2020 ∙ by Edric John Cruz Nacpil, et al. ∙ 0 ∙ share

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Streaming Probabilistic Deep Tensor Factorization

Despite the success of existing tensor factorization methods, most of th...
07/14/2020 ∙ by Shikai Fang, et al. ∙ 0 ∙ share

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Network Embedding with Completely-imbalanced Labels

Network embedding, aiming to project a network into a low-dimensional sp...
07/07/2020 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Road Network Metric Learning for Estimated Time of Arrival

Recently, deep learning have achieved promising results in Estimated Tim...
06/24/2020 ∙ by Yiwen Sun, et al. ∙ 0 ∙ share

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Sparse Gaussian Process Based On Hat Basis Functions

Gaussian process is one of the most popular non-parametric Bayesian meth...
06/15/2020 ∙ by Wenqi Fang, et al. ∙ 0 ∙ share

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Physics Regularized Gaussian Processes

We consider incorporating incomplete physics knowledge, expressed as dif...
06/08/2020 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Multi-Fidelity High-Order Gaussian Processes for Physical Simulation

The key task of physical simulation is to solve partial differential equ...
06/08/2020 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention

Estimated time of arrival (ETA) is one of the most important services in...
06/07/2020 ∙ by Yiwen Sun, et al. ∙ 0 ∙ share

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Fusion Recurrent Neural Network

Considering deep sequence learning for practical application, two repres...
06/07/2020 ∙ by Yiwen Sun, et al. ∙ 0 ∙ share

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Neighborhood Matching Network for Entity Alignment

Structural heterogeneity between knowledge graphs is an outstanding chal...
05/12/2020 ∙ by Yuting Wu, et al. ∙ 0 ∙ share

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Parallel Programming Models for Heterogeneous Many-Cores : A Survey

Heterogeneous many-cores are now an integral part of modern computing sy...
05/05/2020 ∙ by Jianbin Fang, et al. ∙ 0 ∙ share

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Smart, Adaptive Energy Optimization for Mobile Web Interactions

Web technology underpins many interactive mobile applications. However, ...
05/02/2020 ∙ by Jie Ren, et al. ∙ 0 ∙ share

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Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting

Traffic forecasting influences various intelligent transportation system...
04/23/2020 ∙ by Yiwen Sun, et al. ∙ 0 ∙ share

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Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes

Completing a corrupted image with correct structures and reasonable text...
03/15/2020 ∙ by Liang Liao, et al. ∙ 0 ∙ share

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Hybrid Actuator Design for a Gait Augmentation Wearable

We describe a fluidic actuator design that replaces the sealed chamber o...
03/07/2020 ∙ by Fang Wan, et al. ∙ 0 ∙ share

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Stability and error estimates for the variable step-size BDF2 method for linear and semilinear parabolic equations

In this paper stability and error estimates for time discretizations of ...
03/07/2020 ∙ by Wansheng Wang, et al. ∙ 0 ∙ share

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Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach

This article presents an automatic approach to quickly derive a good sol...
03/05/2020 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning

Similar trajectory search is a fundamental problem and has been well stu...
03/05/2020 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Robotic Cane as a Soft SuperLimb for Elderly Sit-to-Stand Assistance

Many researchers have identified robotics as a potential solution to the...
02/29/2020 ∙ by Xia Wu, et al. ∙ 0 ∙ share

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Curriculum Audiovisual Learning

Associating sound and its producer in complex audiovisual scene is a cha...
01/26/2020 ∙ by Di Hu, et al. ∙ 6 ∙ share

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FrequentNet : A New Deep Learning Baseline for Image Classification

In this paper, we generalize the idea from the method called "PCANet" to...
01/04/2020 ∙ by Yifei Li, et al. ∙ 39 ∙ share

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Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores

Understanding the scalability of parallel programs is crucial for softwa...
11/20/2019 ∙ by Donglin Chen, et al. ∙ 0 ∙ share

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Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection

Deep neural networks ( DNNs ) are becoming a key enabling technology for...
11/09/2019 ∙ by Vicent Sanz Marco, et al. ∙ 0 ∙ share

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Conditional Expectation Propagation

Expectation propagation (EP) is a powerful approximate inference algorit...
10/27/2019 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning

The field of Deep Reinforcement Learning (DRL) has recently seen a surge...
10/27/2019 ∙ by Xinyue Chen, et al. ∙ 0 ∙ share

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Jointly Learning Entity and Relation Representations for Entity Alignment

Entity alignment is a viable means for integrating heterogeneous knowled...
09/20/2019 ∙ by Yuting Wu, et al. ∙ 0 ∙ share

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Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

Entity alignment is the task of linking entities with the same real-worl...
08/22/2019 ∙ by Yuting Wu, et al. ∙ 0 ∙ share

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Zero-shot Feature Selection via Exploiting Semantic Knowledge

Feature selection plays an important role in pattern recognition and mac...
08/09/2019 ∙ by Zheng Wang, et al. ∙ 2 ∙ share

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Deterministic Sampling Decoding: Where Sphere Decoding Meets Lattice Gaussian Distribution

In this paper, the paradigm of sphere decoding (SD) based on lattice Gau...
07/22/2019 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Robust Linear Discriminant Analysis Using Ratio Minimization of L1,2-Norms

As one of the most popular linear subspace learning methods, the Linear ...
06/29/2019 ∙ by Feiping Nie, et al. ∙ 0 ∙ share

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Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Multi-cores

The web has become a ubiquitous application development platform for mob...
06/20/2019 ∙ by Lu Yuan, et al. ∙ 0 ∙ share

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Beyond Intra-modality Discrepancy: A Comprehensive Survey of Heterogeneous Person Re-identification

An effective and efficient person re-identification (ReID) algorithm wil...
05/24/2019 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Less Memory, Faster Speed: Refining Self-Attention Module for Image Reconstruction

Self-attention (SA) mechanisms can capture effectively global dependenci...
05/20/2019 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Group Re-identification via Transferred Single and Couple Representation Learning

Group re-identification (G-ReID) is an important yet less-studied task. ...
05/13/2019 ∙ by Ziling Huang, et al. ∙ 8 ∙ share

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Ensemble Super-Resolution with A Reference Dataset

By developing sophisticated image priors or designing deep(er) architect...
05/12/2019 ∙ by Junjun Jiang, et al. ∙ 0 ∙ share

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Illumination-Adaptive Person Re-identification

Most person re-identification (ReID) approaches assume that person image...
05/11/2019 ∙ by Zelong Zeng, et al. ∙ 0 ∙ share

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GPU-based Efficient Join Algorithms on Hadoop

The growing data has brought tremendous pressure for query processing an...
04/25/2019 ∙ by Hongzhi Wang, et al. ∙ 0 ∙ share

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Scalable optimization-based sampling on function space

Optimization-based samplers provide an efficient and parallellizable app...
03/03/2019 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Interaction-aware Kalman Neural Networks for Trajectory Prediction

Forecasting the motion of surrounding dynamic obstacles (vehicles, bicyc...
02/28/2019 ∙ by Ce Ju, et al. ∙ 0 ∙ share

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Lattice CNNs for Matching Based Chinese Question Answering

Short text matching often faces the challenges that there are great word...
02/25/2019 ∙ by Yuxuan Lai, et al. ∙ 0 ∙ share

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Representation Learning for Spatial Graphs

Recently, the topic of graph representation learning has received plenty...
12/17/2018 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding Optimization

Sampling from the lattice Gaussian distribution has emerged as an import...
12/01/2018 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Zheng Wang

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