b'Zeyu Wang'

research

∙ 05/25/2023

ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image

Recent advancements in text-to-image generation have enabled significant...

0 Zhenzhen Weng, et al. ∙

research

∙ 05/16/2023

SpecInfer: Accelerating Generative LLM Serving with Speculative Inference and Token Tree Verification

The high computational and memory requirements of generative large langu...

0 Xupeng Miao, et al. ∙

research

∙ 05/11/2023

An Inverse Scaling Law for CLIP Training

CLIP, the first foundation model that connects images and text, has enab...

0 Xianhang Li, et al. ∙

research

∙ 04/28/2023

Click-Feedback Retrieval

Retrieving target information based on input query is of fundamental imp...

0 Zeyu Wang, et al. ∙

research

∙ 04/17/2023

Dumpy: A Compact and Adaptive Index for Large Data Series Collections

Data series indexes are necessary for managing and analyzing the increas...

0 Zeyu Wang, et al. ∙

research

∙ 03/27/2023

Measuring Categorical Perception in Color-Coded Scatterplots

Scatterplots commonly use color to encode categorical data. However, as ...

0 Chin Tseng, et al. ∙

research

∙ 03/08/2023

A robust method for reliability updating with equality information using sequential adaptive importance sampling

Reliability updating refers to a problem that integrates Bayesian updati...

0 Xiong Xiao, et al. ∙

research

∙ 01/25/2023

On the Adversarial Robustness of Camera-based 3D Object Detection

In recent years, camera-based 3D object detection has gained widespread ...

0 Shaoyuan Xie, et al. ∙

research

∙ 10/28/2022

Thermal Infrared Image Inpainting via Edge-Aware Guidance

Image inpainting has achieved fundamental advances with deep learning. H...

0 Zeyu Wang, et al. ∙

research

∙ 09/06/2022

Bag of Tricks for FGSM Adversarial Training

Adversarial training (AT) with samples generated by Fast Gradient Sign M...

32 Zichao Li, et al. ∙

research

∙ 08/25/2022

Masked Autoencoders Enable Efficient Knowledge Distillers

This paper studies the potential of distilling knowledge from pre-traine...

55 Yutong Bai, et al. ∙

research

∙ 07/07/2022

Predicting Word Learning in Children from the Performance of Computer Vision Systems

For human children as well as machine learning systems, a key challenge ...

0 Sunayana Rane, et al. ∙

research

∙ 06/30/2022

InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation

Nuclei Segmentation from histology images is a fundamental task in digit...

0 Yi Lin, et al. ∙

research

∙ 06/22/2022

Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space

Sepsis is a leading cause of death in the ICU. It is a disease requiring...

0 Zeyu Wang, et al. ∙

research

∙ 06/07/2022

Can CNNs Be More Robust Than Transformers?

The recent success of Vision Transformers is shaking the long dominance ...

82 Zeyu Wang, et al. ∙

research

∙ 05/10/2022

Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning

We use deep distributional reinforcement learning (RL) to develop a hedg...

0 Jay Cao, et al. ∙

research

∙ 01/25/2022

Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection

Language models increasingly rely on massive web dumps for diverse text ...

0 Suchin Gururangan, et al. ∙

research

∙ 01/17/2022

Optimal monitoring location for risk tracking of geotechnical systems: theory and application to tunneling excavation risks

The maturity of structural health monitoring technology brings ever-incr...

0 Zeyu Wang, et al. ∙

research

∙ 01/10/2022

Multi-query Video Retrieval

Retrieving target videos based on text descriptions is a task of great p...

0 Zeyu Wang, et al. ∙

research

∙ 08/31/2021

Chi-square Loss for Softmax: an Echo of Neural Network Structure

Softmax working with cross-entropy is widely used in classification, whi...

0 Zeyu Wang, et al. ∙

research

∙ 04/02/2021

Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network

Plot-based Graphic API recommendation (Plot2API) is an unstudied but mea...

0 Zeyu Wang, et al. ∙

research

∙ 09/08/2020

Towards Unique and Informative Captioning of Images

Despite considerable progress, state of the art image captioning models ...

7 Zeyu Wang, et al. ∙

research

∙ 02/06/2020

Value of Information Analysis via Active Learning and Knowledge Sharing in Error-Controlled Adaptive Kriging

Large uncertainties in many phenomena of interest have challenged the re...

3 Chi Zhang, et al. ∙

research

∙ 02/04/2020

REAK: Reliability analysis through Error rate-based Adaptive Kriging

As models in various fields are becoming more complex, associated comput...

0 Zeyu Wang, et al. ∙

research

∙ 11/26/2019

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

Computer vision models learn to perform a task by capturing relevant sta...

0 Zeyu Wang, et al. ∙

research

∙ 11/14/2019

SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

Visual tracking problem demands to efficiently perform robust classifica...

0 Yinda Xu, et al. ∙

research

∙ 10/25/2019

Self-supervised Learning of Detailed 3D Face Reconstruction

In this paper, we present an end-to-end learning framework for detailed ...

58 Yajing Chen, et al. ∙

research

∙ 04/19/2019

SCANN: Synthesis of Compact and Accurate Neural Networks

Artificial neural networks (ANNs) have become the driving force behind r...

0 Shayan Hassantabar, et al. ∙

research

∙ 01/17/2019

RepChain: A Reputation based Secure, Fast and High Incentive Blockchain System via Sharding

In today's blockchain system, designing a secure and high throughput on ...

0 Chenyu Huang, et al. ∙

research

∙ 07/31/2018

AniCode: Authoring Coded Artifacts for Network-Free Personalized Animations

Time-based media (videos, synthetic animations, and virtual reality expe...

0 Zeyu Wang, et al. ∙

Zeyu Wang

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