Jingcai Guo | DeepAI

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Jie Zhang
215 publications
YI LIU
156 publications
Peng Li
119 publications
Song Guo
66 publications
Xinghao Ding
48 publications
Yue Huang
46 publications
Minyi Guo
45 publications
Qinghua Zheng
41 publications
Tao Han
40 publications
Ziming Liu
33 publications
Yifei Shen
30 publications

∙ 09/02/2023

GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning

This paper investigates a challenging problem of zero-shot learning in t...

0 Ziming Liu, et al. ∙

∙ 08/20/2023

Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning–Technical Report

Federated learning (FL) enables collaborative model training among distr...

0 Tianyu Qi, et al. ∙

∙ 07/04/2023

SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection

This paper provides a novel framework for single-domain generalized obje...

0 Zhijie Rao, et al. ∙

∙ 06/01/2023

Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models

Diffusion-based Generative Models (DGMs) have achieved unparalleled perf...

0 Ruibin Li, et al. ∙

∙ 05/19/2023

SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization

Model substructure learning aims to find an invariant network substructu...

1 ingchun Wang, et al. ∙

∙ 05/02/2023

MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition

Malware open-set recognition (MOSR) aims at jointly classifying malware ...

0 Jingcai Guo, et al. ∙

∙ 05/02/2023

DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning

Compositional Zero-shot Learning (CZSL) aims to recognize novel concepts...

0 Xiaocheng Lu, et al. ∙

∙ 05/02/2023

CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario

We study the challenging task of malware recognition on both known and n...

0 Jingcai Guo, et al. ∙

∙ 03/20/2023

Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement

This paper investigates a new, practical, but challenging problem named ...

0 Fushuo Huo, et al. ∙

∙ 02/09/2023

Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning

Mixed-precision quantization mostly predetermines the model bit-width se...

0 Yingchun Wang, et al. ∙

∙ 12/19/2022

Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning

Recent studies show that even highly biased dense networks contain an un...

0 Yingchun Wang, et al. ∙

∙ 12/07/2022

Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning

Network pruning is a promising way to generate light but accurate models...

5 Yingchun Wang, et al. ∙

∙ 11/19/2022

Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning

Compositional Zero-Shot Learning (CZSL) aims to recognize novel concepts...

0 Xiaocheng Lu, et al. ∙

∙ 11/15/2022

CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming

Recent years have witnessed the dramatic growth of Internet video traffi...

18 Qihua Zhou, et al. ∙

∙ 08/21/2022

Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network

Federated learning (FL) has emerged as a promising privacy-preserving di...

12 Jingcai Guo, et al. ∙

∙ 03/07/2022

Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention

Multi-label zero-shot learning extends conventional single-label zero-sh...

0 Ziming Liu, et al. ∙

∙ 06/24/2021

Personalized Federated Learning with Clustered Generalization

We study the recent emerging personalized federated learning (PFL) that ...

1 Xueyang Tang, et al. ∙

∙ 04/12/2021

Learning Robust Visual-semantic Mapping for Zero-shot Learning

Zero-shot learning (ZSL) aims at recognizing unseen class examples (e.g....

0 Jingcai Guo, et al. ∙

∙ 04/30/2020

A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion

Zero-shot learning aims at recognizing unseen classes (no training examp...

6 Jingcai Guo, et al. ∙

∙ 04/12/2019

AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning

Zero-shot learning (ZSL) aims at recognizing unseen classes with knowled...

0 Jingcai Guo, et al. ∙

∙ 04/12/2019

MAANet: Multi-view Aware Attention Networks for Image Super-Resolution

In most recent years, deep convolutional neural networks (DCNNs) based i...

0 Jingcai Guo, et al. ∙

∙ 04/12/2019

Position-Aware Convolutional Networks for Traffic Prediction

Forecasting the future traffic flow distribution in an area is an import...

0 Shiheng Ma, et al. ∙

∙ 03/30/2019

EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach

Unsupervised learning is becoming more and more important recently. As o...

0 Jingcai Guo, et al. ∙

∙ 03/30/2019

Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition

In most recent years, zero-shot recognition (ZSR) has gained increasing ...

0 Jingcai Guo, et al. ∙

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