b'Han Wang'

research

∙ 02/02/2023

Avoiding Model Estimation in Robust Markov Decision Processes with a Generative Model

Robust Markov Decision Processes (MDPs) are getting more attention for l...

Wenhao Yang, et al. ∙

research

∙ 01/09/2023

MIS: A Multi-Identifier Management and Resolution System Based on Consortium Blockchain in Metaverse

As digital resources become diverse in the metaverse, a DNS-like system ...

Han Wang, et al. ∙

research

∙ 12/12/2022

GWRBoost:A geographically weighted gradient boosting method for explainable quantification of spatially-varying relationships

The geographically weighted regression (GWR) is an essential tool for es...

Han Wang, et al. ∙

research

∙ 11/12/2022

Pre-training strategy for solving evolution equations based on physics-informed neural networks

The physics informed neural network (PINN) is a promising method for sol...

Jiawei Guo, et al. ∙

research

∙ 11/09/2022

Safety-Critical Optimal Control for Robotic Manipulators in A Cluttered Environment

Designing safety-critical control for robotic manipulators is challengin...

Xuda Ding, et al. ∙

research

∙ 11/09/2022

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

When reading a story, humans can rapidly understand new fictional charac...

Mo Yu, et al. ∙

research

∙ 10/23/2022

Language Model Pre-Training with Sparse Latent Typing

Modern large-scale Pre-trained Language Models (PLMs) have achieved trem...

Liliang Ren, et al. ∙

research

∙ 09/29/2022

L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response

Location-based services (LBS) have been significantly developed and wide...

Han Wang, et al. ∙

research

∙ 09/29/2022

Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications

Causal inference and model interpretability research are gaining increas...

Junda Wang, et al. ∙

research

∙ 09/06/2022

PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection

Recent years have witnessed a trend of applying context frames to boost ...

Han Wang, et al. ∙

research

∙ 08/17/2022

Ask Question First for Enhancing Lifelong Language Learning

Lifelong language learning aims to stream learning NLP tasks while retai...

Han Wang, et al. ∙

research

∙ 08/17/2022

DPA-1: Pretraining of Attention-based Deep Potential Model for Molecular Simulation

Machine learning assisted modeling of the inter-atomic potential energy ...

Duo Zhang, et al. ∙

research

∙ 06/27/2022

DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning

Outsourcing anomaly detection to third-parties can allow data owners to ...

Meisam Mohammady, et al. ∙

research

∙ 06/21/2022

DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials

Recently, the development of machine learning (ML) potentials has made i...

Wenfei Li, et al. ∙

research

∙ 05/30/2022

An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs

The ongoing COVID-19 pandemic highlights the importance of dashboards fo...

Xinyan Li, et al. ∙

research

∙ 05/22/2022

RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning

Lifelong Language Learning (LLL) aims to train a neural network to learn...

Han Wang, et al. ∙

research

∙ 05/18/2022

No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL

The performance of reinforcement learning (RL) agents is sensitive to th...

Han Wang, et al. ∙

research

∙ 05/09/2022

Multi-modal Semantic SLAM for Complex Dynamic Environments

Simultaneous Localization and Mapping (SLAM) is one of the most essentia...

Han Wang, et al. ∙

research

∙ 05/05/2022

DouFu: A Double Fusion Joint Learning Method For Driving Trajectory Representation

Driving trajectory representation learning is of great significance for ...

Han Wang, et al. ∙

research

∙ 04/25/2022

A Time-Triggered Dimension Reduction Algorithm for the Task Assignment Problem

The task assignment problem is fundamental in combinatorial optimisation...

Han Wang, et al. ∙

research

∙ 04/19/2022

Software Engineers Response to Public Crisis: Lessons Learnt from Spontaneously Building an Informative COVID-19 Dashboard

The Coronavirus disease 2019 (COVID-19) outbreak quickly spread around t...

Han Wang, et al. ∙

research

∙ 04/18/2022

Configuration-Aware Safe Control for Mobile Robotic Arm with Control Barrier Functions

Collision avoidance is a widely investigated topic in robotic applicatio...

Fan Ding, et al. ∙

research

∙ 04/13/2022

Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification

Prompt-based learning (i.e., prompting) is an emerging paradigm for expl...

Han Wang, et al. ∙

research

∙ 03/30/2022

Investigating the Properties of Neural Network Representations in Reinforcement Learning

In this paper we investigate the properties of representations learned b...

Han Wang, et al. ∙

research

∙ 03/28/2022

FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation

Federated learning is a framework for distributed optimization that plac...

Han Wang, et al. ∙

research

∙ 02/02/2022

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

PromptSource is a system for creating, sharing, and using natural langua...

Stephen H. Bach, et al. ∙

research

∙ 01/05/2022

Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms

High-performance computing, together with a neural network model trained...

Zhuoqiang Guo, et al. ∙

research

∙ 12/08/2021

Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning

Due to the representation limitation of the joint Q value function, mult...

Lipeng Wan, et al. ∙

research

∙ 12/08/2021

Learning Linear Models Using Distributed Iterative Hessian Sketching

This work considers the problem of learning the Markov parameters of a l...

Han Wang, et al. ∙

research

∙ 10/26/2021

Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable

Multi-hop QA requires the machine to answer complex questions through fi...

Ruiliu Fu, et al. ∙

research

∙ 10/17/2021

Reminding the Incremental Language Model via Data-Free Self-Distillation

Incremental language learning with pseudo-data can alleviate catastrophi...

Han Wang, et al. ∙

research

∙ 10/15/2021

Multitask Prompted Training Enables Zero-Shot Task Generalization

Large language models have recently been shown to attain reasonable zero...

Victor Sanh, et al. ∙

research

∙ 10/12/2021

Robust Glare Detection: Review, Analysis, and Dataset Release

Sun Glare widely exists in the images captured by unmanned ground and ae...

Mahdi Abolfazli Esfahani, et al. ∙

research

∙ 10/04/2021

Leaked-Web: Accurate and Efficient Machine Learning-Based Website Fingerprinting Attack through Hardware Performance Counters

Users' website browsing history contains sensitive information, like hea...

Han Wang, et al. ∙

research

∙ 10/02/2021

Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks

Cloud computing paradigms have emerged as a major facility to store and ...

Chongzhou Fang, et al. ∙

research

∙ 09/06/2021

Large-Scale System Identification Using a Randomized SVD

Learning a dynamical system from input/output data is a fundamental task...

Han Wang, et al. ∙

research

∙ 08/17/2021

Visual Enhanced 3D Point Cloud Reconstruction from A Single Image

Solving the challenging problem of 3D object reconstruction from a singl...

Guiju Ping, et al. ∙

research

∙ 07/09/2021

Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems

Widely deployed deep neural network (DNN) models have been proven to be ...

Shangyu Xie, et al. ∙

research

∙ 04/29/2021

REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter

Despite the impressive progress achieved in robust grasp detection, robo...

Hanbo Zhang, et al. ∙

research

∙ 04/25/2021

A Novel Unified Stereo Stimuli based Binocular Eye-Tracking System for Accurate 3D Gaze Estimation

In addition to the high cost and complex setup, the main reason for the ...

Sunjing Lin, et al. ∙

research

∙ 03/07/2021

Robopheus: A Virtual-Physical Interactive Mobile Robotic Testbed

The mobile robotic testbed is an essential and critical support to verif...

Xuda Ding, et al. ∙

research

∙ 11/15/2020

A robust statistical method for Genome-wide association analysis of human copy number variation

Conducting genome-wide association studies (GWAS) in copy number variati...

Han Wang, et al. ∙

research

∙ 11/09/2020

Masked Face Image Classification with Sparse Representation based on Majority Voting Mechanism

Sparse approximation is the problem to find the sparsest linear combinat...

Han Wang, et al. ∙

research

∙ 08/20/2020

Energy Minimization for Mobile Edge Computing Networks with Time-Sensitive Constraints

Mobile edge computing (MEC) provides users with a high quality experienc...

JunJie Yu, et al. ∙

research

∙ 08/01/2020

DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory

We propose a general machine learning-based framework for building an ac...

Yixiao Chen, et al. ∙

research

∙ 05/22/2020

SentPWNet: A Unified Sentence Pair Weighting Network for Task-specific Sentence Embedding

Pair-based metric learning has been widely adopted to learn sentence emb...

Li Zhang, et al. ∙

research

∙ 04/25/2020

Privacy Preserving Distributed Energy Trading

The smart grid incentivizes distributed agents with local generation (e....

Shangyu Xie, et al. ∙

research

∙ 04/24/2020

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy

We present the GPU version of DeePMD-kit, which, upon training a deep ne...

Denghui Lu, et al. ∙

research

∙ 02/25/2020

Feasible Computationally Efficient Path Planning for UAV Collision Avoidance

This paper presents a robust computationally efficient real-time collisi...

Han Wang, et al. ∙

research

∙ 02/25/2020

Fast Loop Closure Detection via Binary Content

Loop closure detection plays an important role in reducing localization ...

Han Wang, et al. ∙

Han Wang

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