Yang Shen | DeepAI

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Jie Zhou
349 publications
Zhangyang Wang
245 publications
Qi Zhang
242 publications
Peng Wang
224 publications
Pin-Yu Chen
183 publications
Jian Yang
171 publications
Shuai Wang
157 publications
Jingdong Wang
123 publications
Xuanjing Huang
123 publications
Junchi Yan
113 publications
Di Wu
111 publications

∙ 07/26/2023

Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy

The growing demand for accurate control in varying and unknown environme...

0 Zhenxiao Yin, et al. ∙

∙ 06/05/2023

Learning from Noisy Labels Generated by Extremely Point Annotations for OCT Fluid Segmentation

Automatic segmentation of fluid in OCT (Optical Coherence Tomography) im...

0 Tengjin Weng, et al. ∙

∙ 03/21/2023

Equiangular Basis Vectors

We propose Equiangular Basis Vectors (EBVs) for classification tasks. In...

0 Yang Shen, et al. ∙

∙ 03/18/2023

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on...

0 Junjie Ye, et al. ∙

∙ 02/07/2023

Delving Deep into Simplicity Bias for Long-Tailed Image Recognition

Simplicity Bias (SB) is a phenomenon that deep neural networks tend to r...

0 Xiu-Shen Wei, et al. ∙

∙ 10/07/2022

Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative

This paper targets at improving the generalizability of hypergraph neura...

3 Tianxin Wei, et al. ∙

∙ 09/28/2022

SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval

In this paper, we propose Suppression-Enhancing Mask based attention and...

9 Yang Shen, et al. ∙

∙ 01/04/2022

Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations

Self-supervision is recently surging at its new frontier of graph learni...

5 Yuning You, et al. ∙

∙ 07/15/2021

Algorithmic insights on continual learning from fruit flies

Continual learning in computational systems is challenging due to catast...

0 Yang Shen, et al. ∙

∙ 06/24/2021

Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design

Designing novel protein sequences for a desired 3D topological fold is a...

12 Yue Cao, et al. ∙

∙ 10/22/2020

Graph Contrastive Learning with Augmentations

Generalizable, transferrable, and robust representation learning on grap...

13 Yuning You, et al. ∙

∙ 06/16/2020

When Does Self-Supervision Help Graph Convolutional Networks?

Self-supervision as an emerging technique has been employed to train con...

6 Yuning You, et al. ∙

∙ 04/16/2020

Network-principled deep generative models for designing drug combinations as graph sets

Combination therapy has shown to improve therapeutic efficacy while redu...

12 Mostafa Karimi, et al. ∙

∙ 03/30/2020

L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Graph convolution networks (GCN) are increasingly popular in many applic...

0 Yuning You, et al. ∙

∙ 12/29/2019

Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts

Predicting compound-protein affinity is critical for accelerating drug d...

0 Mostafa Karimi, et al. ∙

∙ 12/28/2019

Energy-based Graph Convolutional Networks for Scoring Protein Docking Models

Structural information about protein-protein interactions, often missing...

0 Yue Cao, et al. ∙

∙ 11/09/2019

Learning to Optimize in Swarms

Learning to optimize has emerged as a powerful framework for various opt...

0 Yue Cao, et al. ∙

∙ 01/31/2019

Bayesian active learning for optimization and uncertainty quantification in protein docking

Motivation: Ab initio protein docking represents a major challenge for o...

0 Yue Cao, et al. ∙

∙ 06/20/2018

DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks

Motivation: Drug discovery demands rapid quantification of compound-prot...

0 Mostafa Karimi, et al. ∙

∙ 03/20/2017

Learning Correspondence Structures for Person Re-identification

This paper addresses the problem of handling spatial misalignments due t...

0 Weiyao Lin, et al. ∙

∙ 04/23/2015

Person Re-identification with Correspondence Structure Learning

This paper addresses the problem of handling spatial misalignments due t...

0 Yang Shen, et al. ∙

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