b'Zhendong Wang'

research

∙ 09/14/2023

Beta Diffusion

We introduce beta diffusion, a novel generative modeling method that int...

0 Mingyuan Zhou, et al. ∙

research

∙ 07/17/2023

AltFreezing for More General Video Face Forgery Detection

Existing face forgery detection models try to discriminate fake images b...

0 Zhendong Wang, et al. ∙

research

∙ 06/12/2023

MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting

Long-term time series forecasting plays an important role in various rea...

0 Xing Wang, et al. ∙

research

∙ 05/01/2023

In-Context Learning Unlocked for Diffusion Models

We present Prompt Diffusion, a framework for enabling in-context learnin...

0 Zhendong Wang, et al. ∙

research

∙ 04/28/2023

Optimizing Workflow for Elite Developers: Perspectives on Leveraging SE Bots

Small-scale automation services in Software Engineering, known as SE Bot...

0 Zhendong Wang, et al. ∙

research

∙ 04/25/2023

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

Diffusion models are powerful, but they require a lot of time and data t...

0 Zhendong Wang, et al. ∙

research

∙ 04/12/2023

SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks

Most urban applications necessitate building footprints in the form of c...

0 Haojia Yu, et al. ∙

research

∙ 03/16/2023

DIRE for Diffusion-Generated Image Detection

Diffusion models have shown remarkable success in visual synthesis, but ...

0 Zhendong Wang, et al. ∙

research

∙ 02/28/2023

Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction

Cellular traffic prediction is an indispensable part for intelligent tel...

0 Xing Wang, et al. ∙

research

∙ 12/19/2022

Co-designing for a Hybrid Workplace Experience in Software Development

With increasing demands for flexible work models, many IT organizations ...

0 Zhendong Wang, et al. ∙

research

∙ 09/13/2022

Towards Efficient Architecture and Algorithms for Sensor Fusion

The safety of an automated vehicle hinges crucially upon the accuracy of...

0 Zhendong Wang, et al. ∙

research

∙ 08/29/2022

Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System

The deep neural network (DNN) models are deemed confidential due to thei...

0 Zhendong Wang, et al. ∙

research

∙ 08/12/2022

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Offline reinforcement learning (RL), which aims to learn an optimal poli...

0 Zhendong Wang, et al. ∙

research

∙ 06/14/2022

Probabilistic Conformal Prediction Using Conditional Random Samples

This paper proposes probabilistic conformal prediction (PCP), a predicti...

0 Zhendong Wang, et al. ∙

research

∙ 06/05/2022

Diffusion-GAN: Training GANs with Diffusion

For stable training of generative adversarial networks (GANs), injecting...

0 Zhendong Wang, et al. ∙

research

∙ 05/09/2022

Towards a High-performance and Secure Memory System and Architecture for Emerging Applications

In this dissertation, we propose a memory and computing coordinated meth...

0 Zhendong Wang, et al. ∙

research

∙ 04/19/2022

Network Topology Optimization via Deep Reinforcement Learning

Topology impacts important network performance metrics, including link u...

0 Zhuoran Li, et al. ∙

research

∙ 03/21/2022

Learning Enriched Illuminants for Cross and Single Sensor Color Constancy

Color constancy aims to restore the constant colors of a scene under dif...

1 Xiaodong Cun, et al. ∙

research

∙ 02/22/2022

Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving

Autonomous driving demands accurate perception and safe decision-making....

0 Xiaoming Zeng, et al. ∙

research

∙ 02/19/2022

A Regularized Implicit Policy for Offline Reinforcement Learning

Offline reinforcement learning enables learning from a fixed dataset, wi...

0 Shentao Yang, et al. ∙

research

∙ 06/06/2021

Uformer: A General U-Shaped Transformer for Image Restoration

In this paper, we present Uformer, an effective and efficient Transforme...

0 Zhendong Wang, et al. ∙

research

∙ 04/08/2021

Cross-status Communication and Project Outcomesin OSS Development A Language Style Matching Perspective

The success of an open source software (OSS) project requires effective ...

0 Yisi Han, et al. ∙

research

∙ 10/17/2020

LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...

4 Yunchao Wei, et al. ∙

research

∙ 07/13/2020

Implicit Distributional Reinforcement Learning

To improve the sample efficiency of policy-gradient based reinforcement ...

23 Yuguang Yue, et al. ∙

research

∙ 03/17/2020

Co-Optimizing Performance and Memory FootprintVia Integrated CPU/GPU Memory Management, anImplementation on Autonomous Driving Platform

Cutting-edge embedded system applications, such as self-driving cars and...

0 Soroush Bateni, et al. ∙

research

∙ 02/21/2020

Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D Reconstruction

Integration of aerial and ground images has been proved as an efficient ...

0 Qing Zhu, et al. ∙

research

∙ 12/31/2019

Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation

Sequence generation models are commonly refined with reinforcement learn...

21 Xinjie Fan, et al. ∙

research

∙ 10/30/2019

Thompson Sampling via Local Uncertainty

Thompson sampling is an efficient algorithm for sequential decision maki...

0 Zhendong Wang, et al. ∙

research

∙ 08/22/2019

Unveiling Elite Developers' Activities in Open Source Projects

Open-source developers, particularly the elite developers, maintain a di...

0 Zhendong Wang, et al. ∙

Zhendong Wang

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