b'Ye Tian'

research

∙ 09/18/2023

Stabilizing RLHF through Advantage Model and Selective Rehearsal

Large Language Models (LLMs) have revolutionized natural language proces...

0 Baolin Peng, et al. ∙

research

∙ 08/15/2023

EQ-Net: Elastic Quantization Neural Networks

Current model quantization methods have shown their promising capability...

0 Ke Xu, et al. ∙

research

∙ 08/04/2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs

Graph Neural Networks (GNNs) conduct message passing which aggregates lo...

0 Ling Yang, et al. ∙

research

∙ 07/28/2023

Improving Social Media Popularity Prediction with Multiple Post Dependencies

Social Media Popularity Prediction has drawn a lot of attention because ...

0 Zhizhen Zhang, et al. ∙

research

∙ 07/21/2023

Robust Fully-Asynchronous Methods for Distributed Training over General Architecture

Perfect synchronization in distributed machine learning problems is inef...

0 Zehan Zhu, et al. ∙

research

∙ 07/10/2023

Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search

Cognitive diagnosis plays a vital role in modern intelligent education p...

0 Shangshang Yang, et al. ∙

research

∙ 06/11/2023

RestGPT: Connecting Large Language Models with Real-World Applications via RESTful APIs

Tool-augmented large language models (LLMs) have achieved remarkable pro...

0 Yifan Song, et al. ∙

research

∙ 03/31/2023

Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Representation multi-task learning (MTL) and transfer learning (TL) have...

0 Ye Tian, et al. ∙

research

∙ 02/05/2023

ℓ_1-penalized Multinomial Regression: Estimation, inference, and prediction, with an application to risk factor identification for different dementia subtypes

High-dimensional multinomial regression models are very useful in practi...

0 Ye Tian, et al. ∙

research

∙ 12/09/2022

DUNE: Improving Accuracy for Sketch-INT Network Measurement Systems

In-band Network Telemetry (INT) and sketching algorithms are two promisi...

0 Zhongxiang Wei, et al. ∙

research

∙ 09/30/2022

Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models

Unsupervised learning has been widely used in many real-world applicatio...

0 Ye Tian, et al. ∙

research

∙ 08/08/2022

Deep Maxout Network Gaussian Process

Study of neural networks with infinite width is important for better und...

0 Libin Liang, et al. ∙

research

∙ 07/13/2022

Semi-supervised Ranking for Object Image Blur Assessment

Assessing the blurriness of an object image is fundamentally important t...

0 Qiang Li, et al. ∙

research

∙ 06/26/2022

Detecting Schizophrenia with 3D Structural Brain MRI Using Deep Learning

Schizophrenia is a chronic neuropsychiatric disorder that causes distinc...

0 Junhao Zhang, et al. ∙

research

∙ 04/28/2022

How social influence affects the wisdom of crowds in influence networks

A long-standing debate is whether social influence improves the collecti...

0 Ye Tian, et al. ∙

research

∙ 02/02/2022

GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs

Fueled by advances in distributed deep learning (DDL), recent years have...

0 Menglu Yu, et al. ∙

research

∙ 01/21/2022

Improving Across-Dataset Brain Tissue Segmentation Using Transformer

Brain tissue segmentation has demonstrated great utility in quantifying ...

0 Vishwanatha M. Rao, et al. ∙

research

∙ 12/16/2021

APTSHIELD: A Stable, Efficient and Real-time APT Detection System for Linux Hosts

Advanced Persistent Threat (APT) attack usually refers to the form of lo...

0 Tiantian Zhu, et al. ∙

research

∙ 11/08/2021

Neyman-Pearson Multi-class Classification via Cost-sensitive Learning

Most existing classification methods aim to minimize the overall misclas...

0 Ye Tian, et al. ∙

research

∙ 09/29/2021

CCTrans: Simplifying and Improving Crowd Counting with Transformer

Most recent methods used for crowd counting are based on the convolution...

0 Ye Tian, et al. ∙

research

∙ 08/10/2021

Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation

Evolutionary neural architecture search (ENAS) has recently received inc...

4 Shangshang Yang, et al. ∙

research

∙ 07/19/2021

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Crowd counting on the drone platform is an interesting topic in computer...

2 Dawei Du, et al. ∙

research

∙ 05/29/2021

Transfer Learning under High-dimensional Generalized Linear Models

In this work, we study the transfer learning problem under high-dimensio...

0 Ye Tian, et al. ∙

research

∙ 05/22/2021

Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics

In the past three decades, a large number of metaheuristics have been pr...

10 Ye Tian, et al. ∙

research

∙ 05/21/2021

Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging

In a dialogue system pipeline, a natural language generation (NLG) unit ...

0 Philipp Ennen, et al. ∙

research

∙ 05/10/2021

AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference

This paper presents AppealNet, a novel edge/cloud collaborative architec...

5 Min Li, et al. ∙

research

∙ 05/06/2021

Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions

Warfarin, a commonly prescribed drug to prevent blood clots, has a highl...

0 Anish Karpurapu, et al. ∙

research

∙ 03/08/2021

Meta-Learning with MAML on Trees

In meta-learning, the knowledge learned from previous tasks is transferr...

0 Jezabel R Garcia, et al. ∙

research

∙ 02/16/2021

A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images

Real-time magnetic resonance imaging (RT-MRI) of human speech production...

0 Yongwan Lim, et al. ∙

research

∙ 02/07/2021

RaSE: A Variable Screening Framework via Random Subspace Ensembles

Variable screening methods have been shown to be effective in dimension ...

0 Ye Tian, et al. ∙

research

∙ 01/02/2021

A Multilayer Correlated Topic Model

We proposed a novel multilayer correlated topic model (MCTM) to analyze ...

0 Ye Tian, et al. ∙

research

∙ 09/21/2020

DeepDyve: Dynamic Verification for Deep Neural Networks

Deep neural networks (DNNs) have become one of the enabling technologies...

9 Yu Li, et al. ∙

research

∙ 08/10/2020

CG-SENSE revisited: Results from the first ISMRM reproducibility challenge

Purpose: The aim of this work is to shed light on the issue of reproduci...

0 Oliver Maier, et al. ∙

research

∙ 06/16/2020

RaSE: Random Subspace Ensemble Classification

We propose a new model-free ensemble classification framework, Random Su...

0 Ye Tian, et al. ∙

research

∙ 04/08/2020

Downstream Model Design of Pre-trained Language Model for Relation Extraction Task

Supervised relation extraction methods based on deep neural network play...

0 Cheng Li, et al. ∙

research

∙ 02/25/2020

Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis

We study distributed composite optimization over networks: agents minimi...

0 Jinming Xu, et al. ∙

research

∙ 02/25/2020

Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis

We study distributed composite optimization over networks: agents minimi...

0 Jinming Xu, et al. ∙

research

∙ 10/23/2019

Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks

This paper proposes a novel family of primal-dual-based distributed algo...

0 Jinming Xu, et al. ∙

research

∙ 08/28/2019

Learning a Multitask Curriculum for Neural Machine Translation

Existing curriculum learning research in neural machine translation (NMT...

0 Wei Wang, et al. ∙

research

∙ 05/30/2019

DeepShift: Towards Multiplication-Less Neural Networks

Deep learning models, especially DCNN have obtained high accuracies in s...

0 Mostafa Elhoushi, et al. ∙

research

∙ 05/27/2019

Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images

Goal: Squamous cell carcinoma of cervix is one of the most prevalent can...

0 Ye Tian, et al. ∙

research

∙ 02/21/2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Lingvo is a Tensorflow framework offering a complete solution for collab...

13 Jonathan Shen, et al. ∙

research

∙ 11/07/2018

THORS: An Efficient Approach for Making Classifiers Cost-sensitive

In this paper, we propose an effective THresholding method based on ORde...

0 Ye Tian, et al. ∙

research

∙ 07/24/2018

ClusterNet: Instance Segmentation in RGB-D Images

We propose a method for instance-level segmentation that uses RGB-D data...

0 Lin Shao, et al. ∙

research

∙ 05/16/2018

Spatial Transformer Introspective Neural Network

Natural images contain many variations such as illumination differences,...

0 Yunhan Zhao, et al. ∙

research

∙ 03/28/2018

ASY-SONATA: Achieving Geometric Convergence for Distributed Asynchronous Optimization

Can one obtain a geometrically convergent algorithm for distributed asyn...

0 Ye Tian, et al. ∙

research

∙ 01/04/2017

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization

Over the last three decades, a large number of evolutionary algorithms h...

0 Ye Tian, et al. ∙

Ye Tian

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