b'Mao Ye'

research

∙ 09/21/2023

Spatial-Temporal Transformer based Video Compression Framework

Learned video compression (LVC) has witnessed remarkable advancements in...

0 Yanbo Gao, et al. ∙

research

∙ 05/31/2023

MSMix:An Interpolation-Based Text Data Augmentation Method Manifold Swap Mixup

To solve the problem of poor performance of deep neural network models d...

0 Mao Ye, et al. ∙

research

∙ 03/09/2023

Efficient Transformer-based 3D Object Detection with Dynamic Token Halting

Balancing efficiency and accuracy is a long-standing problem for deployi...

0 Mao Ye, et al. ∙

research

∙ 09/19/2022

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

Bilevel optimization (BO) is useful for solving a variety of important m...

10 Mao Ye, et al. ∙

research

∙ 09/02/2022

First Hitting Diffusion Models

We propose a family of First Hitting Diffusion Models (FHDM), deep gener...

5 Mao Ye, et al. ∙

research

∙ 09/02/2022

Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems

One of the key challenges of learning an online recommendation model is ...

15 Mao Ye, et al. ∙

research

∙ 09/02/2022

Diffusion-based Molecule Generation with Informative Prior Bridges

AI-based molecule generation provides a promising approach to a large ar...

11 Lemeng Wu, et al. ∙

research

∙ 08/31/2022

Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Diffusion-based generative models have achieved promising results recent...

17 Xingchao Liu, et al. ∙

research

∙ 08/30/2022

Developing a Vehicle Re-routing Algorithm using Connected Vehicle (CV) Technology

Vehicle Ad-hoc Networks (VANETs) act as the core of vehicular communicat...

0 Mao Ye, et al. ∙

research

∙ 08/23/2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

This paper reviews the Challenge on Super-Resolution of Compressed Image...

0 Ren Yang, et al. ∙

research

∙ 05/11/2022

Multi-Class 3D Object Detection with Single-Class Supervision

While multi-class 3D detectors are needed in many robotics applications,...

0 Mao Ye, et al. ∙

research

∙ 04/29/2022

The scope for AI-augmented interpretation of building blueprints in commercial and industrial property insurance

This report, commissioned by the WTW research network, investigates the ...

0 Long Chen, et al. ∙

research

∙ 10/17/2021

Centroid Approximation for Bootstrap

Bootstrap is a principled and powerful frequentist statistical tool for ...

5 Mao Ye, et al. ∙

research

∙ 10/17/2021

Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set

Many modern machine learning applications, such as multi-task learning, ...

10 Mao Ye, et al. ∙

research

∙ 04/18/2021

FOX: Hardware-Assisted File Auditing for Direct Access NVM-Hosted Filesystems

With emerging non-volatile memories entering the mainstream market, seve...

0 Mao Ye, et al. ∙

research

∙ 03/14/2021

VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments

Motivated by the rising abundance of observational data with continuous ...

10 Lizhen Nie, et al. ∙

research

∙ 10/29/2020

Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough

Despite the great success of deep learning, recent works show that large...

2 Mao Ye, et al. ∙

research

∙ 10/16/2020

Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data

Large scale deep learning provides a tremendous opportunity to improve t...

16 Mao Ye, et al. ∙

research

∙ 05/29/2020

SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions

State-of-the-art NLP models can often be fooled by human-unaware transfo...

0 Mao Ye, et al. ∙

research

∙ 05/29/2020

Unsupervised Feature Selection via Multi-step Markov Transition Probability

Feature selection is a widely used dimension reduction technique to sele...

0 Yan Min, et al. ∙

research

∙ 05/28/2020

Improving Generalized Zero-Shot Learning by Semantic Discriminator

It is a recognized fact that the classification accuracy of unseen class...

0 Xinpeng Li, et al. ∙

research

∙ 05/28/2020

Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation

Recent works in domain adaptation always learn domain invariant features...

0 Lihua Zhou, et al. ∙

research

∙ 05/28/2020

Learning Various Length Dependence by Dual Recurrent Neural Networks

Recurrent neural networks (RNNs) are widely used as a memory model for s...

16 Chenpeng Zhang, et al. ∙

research

∙ 03/23/2020

Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting

We propose signed splitting steepest descent (S3D), which progressively ...

7 Lemeng Wu, et al. ∙

research

∙ 03/13/2020

Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation

In this paper, we focus on the coordinate representation in human pose e...

4 Hanbin Dai, et al. ∙

research

∙ 03/03/2020

Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection

Recent empirical works show that large deep neural networks are often hi...

0 Mao Ye, et al. ∙

research

∙ 02/21/2020

Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework

Randomized classifiers have been shown to provide a promising approach f...

0 Dinghuai Zhang, et al. ∙

research

∙ 02/21/2020

Stein Self-Repulsive Dynamics: Benefits From Past Samples

We propose a new Stein self-repulsive dynamics for obtaining diversified...

0 Mao Ye, et al. ∙

research

∙ 02/20/2020

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision

We consider the post-training quantization problem, which discretizes th...

0 Xingchao Liu, et al. ∙

research

∙ 02/20/2020

MaxUp: A Simple Way to Improve Generalization of Neural Network Training

We propose MaxUp, an embarrassingly simple, highly effective technique f...

0 Chengyue Gong, et al. ∙

research

∙ 02/07/2020

Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection

Stochastic gradient Markov chain Monte Carlo (MCMC) algorithms have rece...

0 Qifan Song, et al. ∙

research

∙ 10/14/2019

Distribution-Aware Coordinate Representation for Human Pose Estimation

While being the de facto standard coordinate representation in human pos...

9 Feng Zhang, et al. ∙

research

∙ 11/13/2018

Fast Human Pose Estimation

Existing human pose estimation approaches often only consider how to imp...

10 Feng Zhang, et al. ∙

research

∙ 10/20/2018

Triad-NVM: Persistent-Security for Integrity-Protected and Encrypted Non-Volatile Memories (NVMs)

Emerging Non-Volatile Memories (NVMs) are promising contenders for build...

0 Amro Awad, et al. ∙

research

∙ 10/08/2018

Stein Neural Sampler

We propose two novel samplers to produce high-quality samples from a giv...

0 Tianyang Hu, et al. ∙

research

∙ 10/17/2017

Do Convolutional Neural Networks Learn Class Hierarchy?

Convolutional Neural Networks (CNNs) currently achieve state-of-the-art ...

0 Bilal Alsallakh, et al. ∙

research

∙ 07/19/2017

Pose-Invariant Face Alignment with a Single CNN

Face alignment has witnessed substantial progress in the last decade. On...

0 Amin Jourabloo, et al. ∙

Mao Ye

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