b'Wei Xie'

research

∙ 08/27/2023

Reconstructing Interacting Hands with Interaction Prior from Monocular Images

Reconstructing interacting hands from monocular images is indispensable ...

0 Binghui Zuo, et al. ∙

research

∙ 08/27/2023

Nonrigid Object Contact Estimation With Regional Unwrapping Transformer

Acquiring contact patterns between hands and nonrigid objects is a commo...

0 Wei Xie, et al. ∙

research

∙ 08/24/2023

Implicit Obstacle Map-driven Indoor Navigation Model for Robust Obstacle Avoidance

Robust obstacle avoidance is one of the critical steps for successful go...

0 Wei Xie, et al. ∙

research

∙ 08/16/2023

Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models

Large language models (LLMs), such as ChatGPT, have emerged with astonis...

0 Zhenhua Wang, et al. ∙

research

∙ 07/15/2023

HyperGo: Probability-based Directed Hybrid Fuzzing

Directed grey-box fuzzing (DGF) is a target-guided fuzzing intended for ...

0 Peihong Lin, et al. ∙

research

∙ 05/29/2023

Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes

New classes of sounds constantly emerge with a few samples, making it ch...

0 Wei Xie, et al. ∙

research

∙ 01/18/2023

HMDO: Markerless Multi-view Hand Manipulation Capture with Deformable Objects

We construct the first markerless deformable interaction dataset recordi...

0 Wei Xie, et al. ∙

research

∙ 10/25/2022

Deep Boosting Robustness of DNN-based Image Watermarking via DBMark

Image watermarking is a technique for hiding information into images tha...

0 Guanhui Ye, et al. ∙

research

∙ 08/25/2022

Variance Reduction based Experience Replay for Policy Optimization

For reinforcement learning on complex stochastic systems where many fact...

0 Hua Zheng, et al. ∙

research

∙ 05/06/2022

Variance Reduction based Partial Trajectory Reuse to Accelerate Policy Gradient Optimization

We extend the idea underlying the success of green simulation assisted p...

0 Hua Zheng, et al. ∙

research

∙ 05/05/2022

Dynamic Bayesian Network Auxiliary ABC-SMC for Hybrid Model Bayesian Inference to Accelerate Biomanufacturing Process Mechanism Learning and Robust Control

Driven by the critical needs of biomanufacturing 4.0, we present a proba...

0 Wei Xie, et al. ∙

research

∙ 05/02/2022

Stability-driven Contact Reconstruction From Monocular Color Images

Physical contact provides additional constraints for hand-object state r...

0 Zimeng Zhao, et al. ∙

research

∙ 03/20/2022

Optical Flow for Video Super-Resolution: A Survey

Video super-resolution is currently one of the most active research topi...

0 Zhigang Tu, et al. ∙

research

∙ 03/16/2022

Stochastic Simulation Uncertainty Analysis to Accelerate Flexible Biomanufacturing Process Development

Motivated by critical challenges and needs from biopharmaceuticals manuf...

0 Wei Xie, et al. ∙

research

∙ 01/10/2022

Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Development and Control

Driven by the key challenges of cell therapy manufacturing, including hi...

0 Hua Zheng, et al. ∙

research

∙ 10/17/2021

Green Simulation Assisted Policy Gradient to Accelerate Stochastic Process Control

This study is motivated by the critical challenges in the biopharmaceuti...

0 Hua Zheng, et al. ∙

research

∙ 05/19/2021

Reinforcement Learning Assisted Oxygen Therapy for COVID-19 Patients Under Intensive Care

Patients with severe Coronavirus disease 19 (COVID-19) typically require...

0 Hua Zheng, et al. ∙

research

∙ 05/13/2021

Policy Optimization in Bayesian Network Hybrid Models of Biomanufacturing Processes

Biopharmaceutical manufacturing is a rapidly growing industry with impac...

0 Hua Zheng, et al. ∙

research

∙ 02/16/2021

Multi-Attribute Enhancement Network for Person Search

Person Search is designed to jointly solve the problems of Person Detect...

0 Lequan Chen, et al. ∙

research

∙ 01/11/2021

Reinforcement Learning under Model Risk for Biomanufacturing Fermentation Control

In the biopharmaceutical manufacturing, fermentation process plays a cri...

22 Bo Wang, et al. ∙

research

∙ 11/09/2020

Statistical Uncertainty Analysis for Stochastic Simulation

When we use simulation to evaluate the performance of a stochastic syste...

0 Wei Xie, et al. ∙

research

∙ 10/29/2020

Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records

Comorbid chronic conditions are common among people with type 2 diabetes...

0 Hua Zheng, et al. ∙

research

∙ 08/11/2020

Blockchain-Enabled Internet-of-Things Platform for End-to-End Industrial Hemp Supply Chain

After being legalized as an agricultural commodity by the 2018 U.S. Farm...

0 Keqi Wang, et al. ∙

research

∙ 06/19/2020

Simulation-Based Digital Twin Development for Blockchain Enabled End-to-End Industrial Hemp Supply Chain Risk Management

With the passage of the 2018 U.S. Farm Bill, Industrial Hemp production ...

0 Keqi Wang, et al. ∙

research

∙ 06/17/2020

Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control

Biopharmaceutical manufacturing faces critical challenges, including com...

0 Hua Zheng, et al. ∙

research

∙ 10/13/2019

Global-Local Metamodel Assisted Two-Stage Optimization via Simulation

To integrate strategic, tactical and operational decisions, the two-stag...

0 Wei Xie, et al. ∙

research

∙ 10/13/2019

A Pooled Quantile Estimator for Parallel Simulations

Quantile is an important risk measure quantifying the stochastic system ...

0 Qiong Zhang, et al. ∙

research

∙ 10/09/2019

A Bayesian Nonparametric Framework for Uncertainty Quantification in Simulation

When we use simulation to assess the performance of stochastic systems, ...

0 Wei Xie, et al. ∙

research

∙ 11/03/2016

PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers

Safeguarding privacy in machine learning is highly desirable, especially...

0 Wei Xie, et al. ∙

research

∙ 08/16/2016

A novel transfer learning method based on common space mapping and weighted domain matching

In this paper, we propose a novel learning framework for the problem of ...

0 Ru-Ze Liang, et al. ∙

Wei Xie

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