b'Zheng Wang'

research

∙ 05/22/2022

Geo-Localization via Ground-to-Satellite Cross-View Image Retrieval

The large variation of viewpoint and irrelevant content around the targe...

Zelong Zeng, et al. ∙

research

∙ 05/11/2022

Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning

Spatial-Temporal Video Super-Resolution (ST-VSR) aims to generate super-...

Mengshun Hu, et al. ∙

research

∙ 05/07/2022

Deep Quality Assessment of Compressed Videos: A Subjective and Objective Study

In the video coding process, the perceived quality of a compressed video...

Liqun Lin, et al. ∙

research

∙ 04/11/2022

A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges

Legal judgment prediction (LJP) applies Natural Language Processing (NLP...

Junyun Cui, et al. ∙

research

∙ 02/26/2022

Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding

Contrastive learning is emerging as a powerful technique for extracting ...

Rui Cao, et al. ∙

research

∙ 02/24/2022

AutoIP: A United Framework to Integrate Physics into Gaussian Processes

Physics modeling is critical for modern science and engineering applicat...

Da Long, et al. ∙

research

∙ 02/23/2022

Visual-tactile sensing for Real-time liquid Volume Estimation in Grasping

We propose a deep visuo-tactile model for realtime estimation of the liq...

Fan Zhu, et al. ∙

research

∙ 01/05/2022

Dynamic GPU Energy Optimization for Machine Learning Training Workloads

GPUs are widely used to accelerate the training of machine learning work...

Farui Wang, et al. ∙

research

∙ 12/01/2021

Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding

Although considerable progress has been made in semantic scene understan...

Xianzheng Ma, et al. ∙

research

∙ 11/04/2021

Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based Classification

Sparse representation-based classification (SRC) has attracted much atte...

Xiaohui Yang, et al. ∙

research

∙ 11/03/2021

Origami-inspired soft twisting actuator

Soft actuators have shown great advantages in compliance and morphology ...

Diancheng Li, et al. ∙

research

∙ 10/30/2021

Optimizing Sparse Matrix Multiplications for Graph Neural Networks

Graph neural networks (GNNs) are emerging as a powerful technique for mo...

Shenghao Qiu, et al. ∙

research

∙ 10/19/2021

Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes

We propose a nonparametric factorization approach for sparsely observed ...

Conor Tillinghast, et al. ∙

research

∙ 10/19/2021

A Soft-Rigid Hybrid Gripper with Lateral Compliance and Dexterous In-hand Manipulation

Soft grippers are receiving growing attention due to their compliance-ba...

Wenpei Zhu, et al. ∙

research

∙ 10/16/2021

Meta-Learning with Adjoint Methods

Model Agnostic Meta-Learning (MAML) is widely used to find a good initia...

Shibo Li, et al. ∙

research

∙ 09/25/2021

Basil: Breaking up BFT with ACID (transactions)

This paper presents Basil, the first transactional, leaderless Byzantine...

Florian Suri-Payer, et al. ∙

research

∙ 08/31/2021

Detecting Mitosis against Domain Shift using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge

Mitotic figure count is an important marker of tumor proliferation and h...

Jingtang Liang, et al. ∙

research

∙ 07/29/2021

Mapping Human Muscle Force to Supernumerary Robotics Device for Overhead Task Assistance

Supernumerary Robotics Device (SRD) is an ideal solution to provide robo...

Jianwen Luo, et al. ∙

research

∙ 07/27/2021

Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation

6D pose estimation of rigid objects from a single RGB image has seen tre...

Yilin Wen, et al. ∙

research

∙ 07/14/2021

Spectrum Gaussian Processes Based On Tunable Basis Functions

Spectral approximation and variational inducing learning for the Gaussia...

Wenqi Fang, et al. ∙

research

∙ 06/23/2021

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations

Event extraction is a fundamental task for natural language processing. ...

Qian Li, et al. ∙

research

∙ 06/15/2021

Zero-shot Node Classification with Decomposed Graph Prototype Network

Node classification is a central task in graph data analysis. Scarce or ...

Zheng Wang, et al. ∙

research

∙ 06/10/2021

Unsupervised Video Person Re-identification via Noise and Hard frame Aware Clustering

Unsupervised video-based person re-identification (re-ID) methods extrac...

Pengyu Xie, et al. ∙

research

∙ 05/29/2021

Automated Timeline Length Selection for Flexible Timeline Summarization

By producing summaries for long-running events, timeline summarization (...

Xi Li, et al. ∙

research

∙ 04/30/2021

Federated Learning with Fair Averaging

Fairness has emerged as a critical problem in federated learning (FL). I...

Zheng Wang, et al. ∙

research

∙ 04/23/2021

Analysis and Modeling of Driver Behavior with Integrated Feedback of Visual and Haptic Information Under Shared Control

The thesis presents contributions made to the evaluation and design of a...

Zheng Wang, et al. ∙

research

∙ 04/15/2021

Automated Conformance Testing for JavaScript Engines via Deep Compiler Fuzzing

JavaScript (JS) is a popular, platform-independent programming language....

Guixin Ye, et al. ∙

research

∙ 03/23/2021

Expanding Semantic Knowledge for Zero-shot Graph Embedding

Zero-shot graph embedding is a major challenge for supervised graph lear...

Zheng Wang, et al. ∙

research

∙ 03/08/2021

The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data

Learned indices have been proposed to replace classic index structures l...

Tu Gu, et al. ∙

research

∙ 02/08/2021

Model Rectification via Unknown Unknowns Extraction from Deployment Samples

Model deficiency that results from incomplete training data is a form of...

Bruno Abrahao, et al. ∙

research

∙ 12/15/2020

Image Inpainting Guided by Coherence Priors of Semantics and Textures

Existing inpainting methods have achieved promising performance in recov...

Liang Liao, et al. ∙

research

∙ 11/23/2020

Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric

Re-identification (re-ID) is currently investigated as a closed-world im...

Zheng Wang, et al. ∙

research

∙ 11/15/2020

Intention-Based Lane Changing and Lane Keeping Haptic Guidance Steering System

Haptic guidance in a shared steering assistance system has drawn signifi...

Zhanhong Yan, et al. ∙

research

∙ 10/29/2020

Learning Personalized Discretionary Lane-Change Initiation for Fully Autonomous Driving Based on Reinforcement Learning

In this article, the authors present a novel method to learn the persona...

Zhuoxi Liu, et al. ∙

research

∙ 10/07/2020

Universal Weighting Metric Learning for Cross-Modal Matching

Cross-modal matching has been a highlighted research topic in both visio...

Jiwei Wei, et al. ∙

research

∙ 10/07/2020

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 ...

Zheng Wang, et al. ∙

research

∙ 09/22/2020

Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks

With the increasing popularity of graph-based learning, graph neural net...

Boyuan Feng, et al. ∙

research

∙ 09/09/2020

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

Shared steering control has been developed to reduce driver workload whi...

Zheng Wang, et al. ∙

research

∙ 08/21/2020

DTDN: Dual-task De-raining Network

Removing rain streaks from rainy images is necessary for many tasks in c...

Zheng Wang, et al. ∙

research

∙ 08/12/2020

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

Unsupervised crowd counting is a challenging yet not largely explored ta...

Yuting Liu, et al. ∙

research

∙ 08/12/2020

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...

Hao Peng, et al. ∙

research

∙ 07/31/2020

Exploring Image Enhancement for Salient Object Detection in Low Light Images

Low light images captured in a non-uniform illumination environment usua...

Xin Xu, et al. ∙

research

∙ 07/24/2020

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

Drivers with disabilities such as hemiplegia or unilateral upper limb am...

Edric John Cruz Nacpil, et al. ∙

research

∙ 07/14/2020

Streaming Probabilistic Deep Tensor Factorization

Despite the success of existing tensor factorization methods, most of th...

Shikai Fang, et al. ∙

research

∙ 07/07/2020

Network Embedding with Completely-imbalanced Labels

Network embedding, aiming to project a network into a low-dimensional sp...

Zheng Wang, et al. ∙

research

∙ 06/24/2020

Road Network Metric Learning for Estimated Time of Arrival

Recently, deep learning have achieved promising results in Estimated Tim...

Yiwen Sun, et al. ∙

research

∙ 06/15/2020

Sparse Gaussian Process Based On Hat Basis Functions

Gaussian process is one of the most popular non-parametric Bayesian meth...

Wenqi Fang, et al. ∙

research

∙ 06/08/2020

Physics Regularized Gaussian Processes

We consider incorporating incomplete physics knowledge, expressed as dif...

Zheng Wang, et al. ∙

research

∙ 06/08/2020

Multi-Fidelity High-Order Gaussian Processes for Physical Simulation

The key task of physical simulation is to solve partial differential equ...

Zheng Wang, et al. ∙

research

∙ 06/07/2020

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

Estimated time of arrival (ETA) is one of the most important services in...

Yiwen Sun, et al. ∙

Zheng Wang

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