b'Yifan Yang'

research

∙ 09/14/2023

Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer

In spite of the excellent strides made by end-to-end (E2E) models in spe...

0 Peng Wang, et al. ∙

research

∙ 09/14/2023

Towards Universal Speech Discrete Tokens: A Case Study for ASR and TTS

Self-supervised learning (SSL) proficiency in speech-related tasks has d...

0 Yifan Yang, et al. ∙

research

∙ 08/02/2023

ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation

While language-guided image manipulation has made remarkable progress, t...

0 Yasheng Sun, et al. ∙

research

∙ 07/22/2023

Real-Time Neural Video Recovery and Enhancement on Mobile Devices

As mobile devices become increasingly popular for video streaming, it's ...

0 Zhaoyuan He, et al. ∙

research

∙ 07/16/2023

Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections

Neural Radiance Fields (NeRF) is a revolutionary approach for rendering ...

0 Yifan Yang, et al. ∙

research

∙ 07/15/2023

Neural Video Recovery for Cloud Gaming

Cloud gaming is a multi-billion dollar industry. A client in cloud gamin...

0 Zhaoyuan He, et al. ∙

research

∙ 06/15/2023

Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health

ChatGPT has drawn considerable attention from both the general public an...

0 Shubo Tian, et al. ∙

research

∙ 06/08/2023

A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels

Learning with noisy labels is an important topic for scalable training i...

0 Yifan Yang, et al. ∙

research

∙ 05/30/2023

SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning

Federated bilevel optimization (FBO) has shown great potential recently ...

0 Yifan Yang, et al. ∙

research

∙ 05/25/2023

Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score

Adversarial detection aims to determine whether a given sample is an adv...

0 Shuhai Zhang, et al. ∙

research

∙ 04/19/2023

GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information

While large language models (LLMs) have been successfully applied to var...

0 Qiao Jin, et al. ∙

research

∙ 04/17/2023

A New Representation of Uniform-Block Matrix and Applications

A covariance matrix with a special pattern (e.g., sparsity or block stru...

0 Yifan Yang, et al. ∙

research

∙ 02/28/2023

Particle-based Online Bayesian Sampling

Online optimization has gained increasing interest due to its capability...

0 Yifan Yang, et al. ∙

research

∙ 02/03/2023

Covariance estimation with uniform blocks

Estimating a covariance matrix is central to high-dimensional data analy...

0 Yifan Yang, et al. ∙

research

∙ 01/29/2023

Towards Inference Efficient Deep Ensemble Learning

Ensemble methods can deliver surprising performance gains but also bring...

0 Ziyue Li, et al. ∙

research

∙ 12/16/2022

Attentive Mask CLIP

Image token removal is an efficient augmentation strategy for reducing t...

0 Yifan Yang, et al. ∙

research

∙ 11/29/2022

Similarity Distribution based Membership Inference Attack on Person Re-identification

While person Re-identification (Re-ID) has progressed rapidly due to its...

0 Junyao Gao, et al. ∙

research

∙ 05/25/2022

Investigating Information Inconsistency in Multilingual Open-Domain Question Answering

Retrieval based open-domain QA systems use retrieved documents and answe...

10 Shramay Palta, et al. ∙

research

∙ 03/21/2022

DSRRTracker: Dynamic Search Region Refinement for Attention-based Siamese Multi-Object Tracking

Many multi-object tracking (MOT) methods follow the framework of "tracki...

0 JiaXu Wan, et al. ∙

research

∙ 03/21/2022

FaceMap: Towards Unsupervised Face Clustering via Map Equation

Face clustering is an essential task in computer vision due to the explo...

0 Xiaotian Yu, et al. ∙

research

∙ 01/22/2022

From 996 to 007: Challenges of Working from Home During the Epidemic in China

During the COVID-19 epidemic in China, millions of workers in tech compa...

0 Jie Gao, et al. ∙

research

∙ 10/26/2021

Directional Self-supervised Learning for Risky Image Augmentations

Only a few cherry-picked robust augmentation policies are beneficial to ...

17 Yalong Bai, et al. ∙

research

∙ 10/23/2021

Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network

Vital importance has necessity to be attached to cooperation in multi-ag...

0 Tianqi Shen, et al. ∙

research

∙ 10/09/2021

A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval

Large-scale fine-grained image retrieval has two main problems. First, l...

0 Qi Zhao, et al. ∙

research

∙ 09/17/2021

Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching

A popular application of federated learning is using many clients to tra...

0 Tahseen Rabbani, et al. ∙

research

∙ 08/14/2021

A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation

Few-shot semantic segmentation is a challenging task of predicting objec...

12 Qi Zhao, et al. ∙

research

∙ 06/18/2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

Joint extraction of entities and relations from unstructured texts is a ...

0 Hengyi Zheng, et al. ∙

research

∙ 04/30/2021

SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models

Single image super-resolution (SISR) aims to reconstruct high-resolution...

13 Haoying Li, et al. ∙

research

∙ 02/27/2021

Lifelong Learning based Disease Diagnosis on Clinical Notes

Current deep learning based disease diagnosis systems usually fall short...

0 Zifeng Wang, et al. ∙

research

∙ 02/20/2021

A Note on Taylor's Expansion and Mean Value Theorem With Respect to a Random Variable

We introduce a stochastic version of Taylor's expansion and Mean Value T...

0 Yifan Yang, et al. ∙

research

∙ 05/23/2020

COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining

With the spread and development of new epidemics, it is of great referen...

0 Yixian Zhang, et al. ∙

research

∙ 02/22/2020

A New Unified Deep Learning Approach with Decomposition-Reconstruction-Ensemble Framework for Time Series Forecasting

A new variational mode decomposition (VMD) based deep learning approach ...

0 Guowei Zhang, et al. ∙

research

∙ 05/15/2019

TAPESTRY: A Blockchain based Service for Trusted Interaction Online

We present a novel blockchain based service for proving the provenance o...

0 Yifan Yang, et al. ∙

research

∙ 04/04/2019

Feature Pyramid Hashing

In recent years, deep-networks-based hashing has become a leading approa...

0 Yifan Yang, et al. ∙

research

∙ 04/03/2019

Deep Policy Hashing Network with Listwise Supervision

Deep-networks-based hashing has become a leading approach for large-scal...

0 Shaoying Wang, et al. ∙

research

∙ 11/21/2018

Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs

Using FPGAs to accelerate ConvNets has attracted significant attention i...

8 Yifan Yang, et al. ∙

research

∙ 03/26/2018

The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking

With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are...

0 Dawei Du, et al. ∙

research

∙ 12/10/2016

Real-time eSports Match Result Prediction

In this paper, we try to predict the winning team of a match in the mult...

0 Yifan Yang, et al. ∙

research

∙ 11/29/2016

Context-aware Natural Language Generation with Recurrent Neural Networks

This paper studied generating natural languages at particular contexts o...

0 Jian Tang, et al. ∙

Yifan Yang

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