b'Yuxin Wang'

research

∙ 09/03/2023

FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs

The rapid growth of memory and computation requirements of large languag...

0 Zhenheng Tang, et al. ∙

research

∙ 08/15/2023

A Floating-Point Secure Implementation of the Report Noisy Max with Gap Mechanism

The Noisy Max mechanism and its variations are fundamental private selec...

0 Zeyu Ding, et al. ∙

research

∙ 08/05/2023

Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis

Implicit neural representations have shown powerful capacity in modeling...

0 Yuxin Wang, et al. ∙

research

∙ 06/16/2023

From Hypergraph Energy Functions to Hypergraph Neural Networks

Hypergraphs are a powerful abstraction for representing higher-order int...

0 Yuxin Wang, et al. ∙

research

∙ 05/22/2023

RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars

Synthesizing high-fidelity head avatars is a central problem for compute...

3 Dongwei Pan, et al. ∙

research

∙ 05/09/2023

Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition

Vision model have gained increasing attention due to their simplicity an...

0 Boqiang Zhang, et al. ∙

research

∙ 04/13/2023

How Practical Phase-shift Errors Affect Beamforming of Reconfigurable Intelligent Surface?

Reconfigurable intelligent surface (RIS) is a new technique that is able...

0 Jun Yang, et al. ∙

research

∙ 03/03/2023

FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training

Federated Learning (FL) enables collaborations among clients for train m...

2 Zhenheng Tang, et al. ∙

research

∙ 01/18/2023

OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

Recent advances in modeling 3D objects mostly rely on synthetic datasets...

3 Tong Wu, et al. ∙

research

∙ 01/13/2023

GAR: Generalized Autoregression for Multi-Fidelity Fusion

In many scientific research and engineering applications where repeated ...

0 Yuxin Wang, et al. ∙

research

∙ 12/19/2022

Rethinking Label Smoothing on Multi-hop Question Answering

Label smoothing is a regularization technique widely used in supervised ...

0 Zhangyue Yin, et al. ∙

research

∙ 12/05/2022

Exploring Stroke-Level Modifications for Scene Text Editing

Scene text editing (STE) aims to replace text with the desired one while...

0 Yadong Qu, et al. ∙

research

∙ 11/23/2022

NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension

One-shot neural architecture search (NAS) substantially improves the sea...

0 Xin He, et al. ∙

research

∙ 11/19/2022

ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting

Scene text spotting is of great importance to the computer vision commun...

0 Shancheng Fang, et al. ∙

research

∙ 11/11/2022

Lamda: The Last Mile of the Datacenter Network Does matter

In this paper, we conduct systematic measurement studies to show that th...

0 Qiang Li, et al. ∙

research

∙ 10/21/2022

Discovering New Intents Using Latent Variables

Discovering new intents is of great significance to establishing Bootstr...

0 Yunhua Zhou, et al. ∙

research

∙ 10/13/2022

An Open-World Lottery Ticket for Out-of-Domain Intent Classification

Most existing methods of Out-of-Domain (OOD) intent classification, whic...

0 Yunhua Zhou, et al. ∙

research

∙ 10/13/2022

Wider and Higher: Intensive Integration and Global Foreground Perception for Image Matting

This paper reviews recent deep-learning-based matting research and conce...

0 Yu Qiao, et al. ∙

research

∙ 10/13/2022

Hierarchical and Progressive Image Matting

Most matting researches resort to advanced semantics to achieve high-qua...

0 Yu Qiao, et al. ∙

research

∙ 09/06/2022

Progressive Glass Segmentation

Glass is very common in the real world. Influenced by the uncertainty ab...

0 Letian Yu, et al. ∙

research

∙ 08/01/2022

Relay Hindsight Experience Replay: Continual Reinforcement Learning for Robot Manipulation Tasks with Sparse Rewards

Learning with sparse rewards is usually inefficient in Reinforcement Lea...

0 Yongle Luo, et al. ∙

research

∙ 05/16/2022

Switch as a Verifier: Toward Scalable Data Plane Checking via Distributed, On-Device Verification

Data plane verification (DPV) is important for finding network errors. C...

0 Qiao Xiang, et al. ∙

research

∙ 12/11/2021

CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation

Acquiring the most representative examples via active learning (AL) can ...

0 Yu Qiao, et al. ∙

research

∙ 09/15/2021

DPGen: Automated Program Synthesis for Differential Privacy

Differential privacy has become a de facto standard for releasing data i...

0 Yuxin Wang, et al. ∙

research

∙ 08/22/2021

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network

In this paper, we abandon the dominant complex language model and rethin...

0 Yuxin Wang, et al. ∙

research

∙ 08/16/2021

A Vision-based Irregular Obstacle Avoidance Framework via Deep Reinforcement Learning

Deep reinforcement learning has achieved great success in laser-based co...

0 Lingping Gao, et al. ∙

research

∙ 08/10/2021

Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking

Jointly exploiting multiple different yet complementary domain informati...

8 Jiqing Zhang, et al. ∙

research

∙ 07/20/2021

Monocular Visual Analysis for Electronic Line Calling of Tennis Games

Electronic Line Calling is an auxiliary referee system used for tennis m...

0 Yuanzhou Chen, et al. ∙

research

∙ 06/24/2021

A Simple and Strong Baseline: Progressively Region-based Scene Text Removal Networks

Existing scene text removal methods mainly train an elaborate network wi...

0 Yuxin Wang, et al. ∙

research

∙ 06/15/2021

First Place Solution of KDD Cup 2021 OGB Large-Scale Challenge Graph-Level Track

In this technical report, we present our solution of KDD Cup 2021 OGB La...

7 Chengxuan Ying, et al. ∙

research

∙ 06/08/2021

A Survey of Transformers

Transformers have achieved great success in many artificial intelligence...

0 Tianyang Lin, et al. ∙

research

∙ 05/15/2021

The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise

The permute-and-flip mechanism is a recently proposed differentially pri...

0 Zeyu Ding, et al. ∙

research

∙ 04/21/2021

A Two-Stage Attentive Network for Single Image Super-Resolution

Recently, deep convolutional neural networks (CNNs) have been widely exp...

0 Jiqing Zhang, et al. ∙

research

∙ 03/11/2021

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

Linguistic knowledge is of great benefit to scene text recognition. Howe...

0 Shancheng Fang, et al. ∙

research

∙ 01/07/2021

Multi-scale Information Assembly for Image Matting

Image matting is a long-standing problem in computer graphics and vision...

5 Yu Qiao, et al. ∙

research

∙ 12/02/2020

Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms

Private selection algorithms, such as the Exponential Mechanism, Noisy M...

0 Zeyu Ding, et al. ∙

research

∙ 11/30/2020

Optimizing Fitness-For-Use of Differentially Private Linear Queries

In practice, differentially private data releases are designed to suppor...

0 Yingtai Xiao, et al. ∙

research

∙ 09/04/2020

Domain Priori Knowledge based Integrated Solution Design for Internet of Services

Various types of services, such as web APIs, IoT services, O2O services,...

0 Hanchuan Xu, et al. ∙

research

∙ 08/17/2020

CheckDP: An Automated and Integrated Approach for Proving Differential Privacy or Finding Precise Counterexamples

We propose CheckDP, the first automated and integrated approach for prov...

0 Yuxin Wang, et al. ∙

research

∙ 04/10/2020

ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection

Scene text detection has witnessed rapid development in recent years. Ho...

0 Yuxin Wang, et al. ∙

research

∙ 02/18/2020

A Survey of Deep Learning Techniques for Neural Machine Translation

In recent years, natural language processing (NLP) has got great develop...

0 Shuoheng Yang, et al. ∙

research

∙ 11/20/2019

Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models

Skin disease is one of the most common types of human diseases, which ma...

18 Xin He, et al. ∙

research

∙ 09/15/2019

Performance and Power Evaluation of AI Accelerators for Training Deep Learning Models

Deep neural networks (DNNs) have become widely used in many AI applicati...

0 Yuxin Wang, et al. ∙

research

∙ 05/27/2019

The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study

Over the past years, great progress has been made in improving the compu...

0 Zhenheng Tang, et al. ∙

research

∙ 04/29/2019

Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms

Noisy Max and Sparse Vector are selection algorithms for differential pr...

0 Zeyu Ding, et al. ∙

research

∙ 03/28/2019

Proving Differential Privacy with Shadow Execution

Recent work on formal verification of differential privacy shows a trend...

0 Yuxin Wang, et al. ∙

research

∙ 01/14/2019

A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks

Distributed synchronous stochastic gradient descent (S-SGD) with data pa...

0 Shaohuai Shi, et al. ∙

research

∙ 05/25/2018

Toward Detecting Violations of Differential Privacy

The widespread acceptance of differential privacy has led to the publica...

0 Ding Ding, et al. ∙

Yuxin Wang

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