b'Yu Cao'

research

∙ 06/28/2023

Incremental Learning on Food Instance Segmentation

Food instance segmentation is essential to estimate the serving size of ...

0 Huu Thanh Nguyen, et al. ∙

research

∙ 06/05/2023

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training

Dense retrievers have achieved impressive performance, but their demand ...

0 Yibin Lei, et al. ∙

research

∙ 06/03/2023

Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations

The diffusion model has shown remarkable success in computer vision, but...

0 Yu Cao, et al. ∙

research

∙ 04/17/2023

DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition

Clothing segmentation and fine-grained attribute recognition are challen...

0 Hao Tian, et al. ∙

research

∙ 03/20/2023

AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models

It is a time-consuming and tedious work for manually colorizing anime li...

0 Yu Cao, et al. ∙

research

∙ 12/21/2022

Attention-Aware Anime Line Drawing Colorization

Automatic colorization of anime line drawing has attracted much attentio...

0 Yu Cao, et al. ∙

research

∙ 10/27/2022

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack

We present Twin Answer Sentences Attack (TASA), an adversarial attack me...

0 Yu Cao, et al. ∙

research

∙ 10/24/2022

SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks

SNNs are an active research domain towards energy efficient machine inte...

0 Abhishek Moitra, et al. ∙

research

∙ 09/07/2022

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation

Pre-Training (PT) of text representations has been successfully applied ...

2 Changtong Zan, et al. ∙

research

∙ 08/16/2022

FEC: Fast Euclidean Clustering for Point Cloud Segmentation

Segmentation from point cloud data is essential in many applications suc...

0 Yu Cao, et al. ∙

research

∙ 06/21/2022

DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials

Recently, the development of machine learning (ML) potentials has made i...

0 Wenfei Li, et al. ∙

research

∙ 06/20/2022

Learning Optimal Flows for Non-Equilibrium Importance Sampling

Many applications in computational sciences and statistical inference re...

11 Yu Cao, et al. ∙

research

∙ 05/22/2022

Interpretable Proof Generation via Iterative Backward Reasoning

We present IBR, an Iterative Backward Reasoning model to solve the proof...

3 Hanhao Qu, et al. ∙

research

∙ 05/22/2022

Phrase-level Textual Adversarial Attack with Label Preservation

Generating high-quality textual adversarial examples is critical for inv...

10 Yibin Lei, et al. ∙

research

∙ 05/15/2022

COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks

Graph convolutional networks (GCNs) have shown remarkable learning capab...

0 Sumit K. Mandal, et al. ∙

research

∙ 04/21/2022

A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation

Towards building intelligent dialogue agents, there has been a growing i...

0 Yu Cao, et al. ∙

research

∙ 04/16/2022

Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation

For multilingual sequence-to-sequence pretrained language models (multil...

0 Changtong Zan, et al. ∙

research

∙ 01/27/2022

A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment

In Vitro Fertilization (IVF) is the most widely used Assisted Reproducti...

1 Xizhe Wang, et al. ∙

research

∙ 01/19/2022

Swin-Pose: Swin Transformer Based Human Pose Estimation

Convolutional neural networks (CNNs) have been widely utilized in many c...

0 Zinan Xiong, et al. ∙

research

∙ 12/13/2021

Plurality and Quantification in Graph Representation of Meaning

In this thesis we present a semantic representation formalism based on d...

0 Yu Cao, et al. ∙

research

∙ 09/18/2021

Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem

Multi-Instance GPU (MIG) is a new feature introduced by NVIDIA A100 GPUs...

11 Cheng Tan, et al. ∙

research

∙ 08/14/2021

SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks

In-memory computing (IMC) on a monolithic chip for deep learning faces d...

15 Gokul Krishnan, et al. ∙

research

∙ 07/28/2021

Underwater inspection and intervention dataset

This paper presents a novel dataset for the development of visual naviga...

16 Tomasz Łuczyński, et al. ∙

research

∙ 07/06/2021

Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks

With the widespread use of Deep Neural Networks (DNNs), machine learning...

53 Gokul Krishnan, et al. ∙

research

∙ 05/04/2021

Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems

Deep learning recommendation systems at scale have provided remarkable g...

15 Xiaocong Du, et al. ∙

research

∙ 04/08/2021

CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets

Financial markets are a complex dynamical system. The complexity comes f...

18 Jia Wang, et al. ∙

research

∙ 03/26/2021

DAGN: Discourse-Aware Graph Network for Logical Reasoning

Recent QA with logical reasoning questions requires passage-level relati...

0 Yinya Huang, et al. ∙

research

∙ 03/02/2021

Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation

Dialogue generation models face the challenge of producing generic and r...

0 Yu Cao, et al. ∙

research

∙ 03/01/2021

Structure-preserving numerical schemes for Lindblad equations

We study a family of structure-preserving deterministic numerical scheme...

0 Yu Cao, et al. ∙

research

∙ 01/11/2021

Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study

Colorectal polyps are abnormal tissues growing on the intima of the colo...

21 Xinzi Sun, et al. ∙

research

∙ 11/09/2020

A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment

This paper presents the design of a tune-free (human-out-of-the-loop par...

9 Yu Wang, et al. ∙

research

∙ 11/01/2020

DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling

An accurate vehicle dynamic model is the key to bridge the gap between s...

0 Shu Jiang, et al. ∙

research

∙ 10/15/2020

Pretrained Language Models for Dialogue Generation with Multiple Input Sources

Large-scale pretrained language models have achieved outstanding perform...

0 Yu Cao, et al. ∙

research

∙ 04/03/2020

Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks

Retinopathy of Prematurity (ROP) is an eye disorder primarily affecting ...

12 Alexander Ding, et al. ∙

research

∙ 03/28/2020

Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images

High-fidelity clothing reconstruction is the key to achieving photoreali...

0 Heming Zhu, et al. ∙

research

∙ 03/26/2020

Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images

Diabetic retinopathy (DR) is a primary cause of blindness in working-age...

5 Qilei Chen, et al. ∙

research

∙ 03/22/2020

Complexity of randomized algorithms for underdamped Langevin dynamics

We establish an information complexity lower bound of randomized algorit...

0 Yu Cao, et al. ∙

research

∙ 01/29/2020

3D Aggregated Faster R-CNN for General Lesion Detection

Lesions are damages and abnormalities in tissues of the human body. Many...

21 Ning Zhang, et al. ∙

research

∙ 12/26/2019

Colorectal Polyp Segmentation by U-Net with Dilation Convolution

Colorectal cancer (CRC) is one of the most commonly diagnosed cancers an...

10 Xinzi Sun, et al. ∙

research

∙ 11/19/2019

Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features

Diabetic retinopathy (DR) is a diabetes complication that affects eyes. ...

0 Qilei Chen, et al. ∙

research

∙ 11/13/2019

Unsupervised Domain Adaptation on Reading Comprehension

Reading comprehension (RC) has been studied in a variety of datasets wit...

0 Yu Cao, et al. ∙

research

∙ 11/11/2019

Structural Pruning in Deep Neural Networks: A Small-World Approach

Deep Neural Networks (DNNs) are usually over-parameterized, causing exce...

0 Gokul Krishnan, et al. ∙

research

∙ 09/05/2019

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs

Though state-of-the-art sentence representation models can perform tasks...

0 Alex Warstadt, et al. ∙

research

∙ 09/05/2019

AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy

Colorectal cancer (CRC) is a common and lethal disease. Globally, CRC is...

0 Dechun Wang, et al. ∙

research

∙ 08/29/2019

3D Anchor-Free Lesion Detector on Computed Tomography Scans

Lesions are injuries and abnormal tissues in the human body. Detecting l...

0 Ning Zhang, et al. ∙

research

∙ 08/22/2019

Multi-Stream Single Shot Spatial-Temporal Action Detection

We present a 3D Convolutional Neural Networks (CNNs) based single shot d...

0 Pengfei Zhang, et al. ∙

research

∙ 08/15/2019

Automatic Compiler Based FPGA Accelerator for CNN Training

Training of convolutional neural networks (CNNs)on embedded platforms to...

0 Shreyas Kolala Venkataramanaiah, et al. ∙

research

∙ 05/28/2019

Single-Net Continual Learning with Progressive Segmented Training (PST)

There is an increasing need of continual learning in dynamic systems, su...

0 Xiaocong Du, et al. ∙

research

∙ 05/28/2019

Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches

Machine learning algorithms have made significant advances in many appli...

0 Xiaocong Du, et al. ∙

research

∙ 05/27/2019

CGaP: Continuous Growth and Pruning for Efficient Deep Learning

Today a canonical approach to reduce the computation cost of Deep Neural...

0 Xiaocong Du, et al. ∙

Yu Cao

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