b'Zunlei Feng'

research

∙ 07/26/2023

Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength

Graph Neural Networks have emerged as an effective machine learning tool...

0 Tongya Zheng, et al. ∙

research

∙ 06/28/2023

AFPN: Asymptotic Feature Pyramid Network for Object Detection

Multi-scale features are of great importance in encoding objects with sc...

0 Guoyu Yang, et al. ∙

research

∙ 06/15/2023

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation

Human mobility patterns have shown significant applications in policy-de...

0 Yu Wang, et al. ∙

research

∙ 05/31/2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization

Graph Neural Networks (GNNs) have emerged as a powerful category of lear...

0 Kaixuan Chen, et al. ∙

research

∙ 05/26/2023

Improving Knowledge Distillation via Regularizing Feature Norm and Direction

Knowledge distillation (KD) exploits a large well-trained model (i.e., t...

0 Yuzhu Wang, et al. ∙

research

∙ 04/15/2023

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation

Temporal graphs exhibit dynamic interactions between nodes over continuo...

0 Tongya Zheng, et al. ∙

research

∙ 04/15/2023

Transition Propagation Graph Neural Networks for Temporal Networks

Researchers of temporal networks (e.g., social networks and transaction ...

0 Tongya Zheng, et al. ∙

research

∙ 04/11/2023

Life Regression based Patch Slimming for Vision Transformers

Vision transformers have achieved remarkable success in computer vision ...

0 Jiawei Chen, et al. ∙

research

∙ 04/10/2023

ViT-Calibrator: Decision Stream Calibration for Vision Transformer

A surge of interest has emerged in utilizing Transformers in diverse vis...

0 Lin Chen, et al. ∙

research

∙ 04/09/2023

Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning

The problem of deep long-tailed learning, a prevalent challenge in the r...

0 Wenxiang Xu, et al. ∙

research

∙ 02/17/2023

Model Doctor for Diagnosing and Treating Segmentation Error

Despite the remarkable progress in semantic segmentation tasks with the ...

0 Zhijie Jia, et al. ∙

research

∙ 02/14/2023

Team DETR: Guide Queries as a Professional Team in Detection Transformers

Recent proposed DETR variants have made tremendous progress in various s...

0 Tian Qiu, et al. ∙

research

∙ 01/14/2023

Recent advances in artificial intelligence for retrosynthesis

Retrosynthesis is the cornerstone of organic chemistry, providing chemis...

0 Zipeng Zhong, et al. ∙

research

∙ 11/30/2022

Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation

Pseudo supervision is regarded as the core idea in semi-supervised learn...

0 Siqi Fan, et al. ∙

research

∙ 11/29/2022

Transferability Estimation Based On Principal Gradient Expectation

Deep transfer learning has been widely used for knowledge transmission i...

0 Huiyan Qi, et al. ∙

research

∙ 11/23/2022

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition

Value Decomposition (VD) aims to deduce the contributions of agents for ...

0 Shunyu Liu, et al. ∙

research

∙ 07/27/2022

Federated Selective Aggregation for Knowledge Amalgamation

In this paper, we explore a new knowledge-amalgamation problem, termed F...

0 Donglin Xie, et al. ∙

research

∙ 07/27/2022

Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing for Facial Expression Recognition

Facial expression is an essential factor in conveying human emotional st...

0 Jie Lei, et al. ∙

research

∙ 07/08/2022

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning

Deep cooperative multi-agent reinforcement learning has demonstrated its...

0 Shunyu Liu, et al. ∙

research

∙ 07/05/2022

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework

Despite the promising results achieved, state-of-the-art interactive rei...

0 Shunyu Liu, et al. ∙

research

∙ 05/12/2022

Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System

The real-time transient stability assessment (TSA) plays a critical role...

0 Kaixuan Chen, et al. ∙

research

∙ 05/07/2022

Comparison Knowledge Translation for Generalizable Image Classification

Deep learning has recently achieved remarkable performance in image clas...

0 Zunlei Feng, et al. ∙

research

∙ 03/25/2022

CNN LEGO: Disassembling and Assembling Convolutional Neural Network

Convolutional Neural Network (CNN), which mimics human visual perception...

0 Jiacong Hu, et al. ∙

research

∙ 03/22/2022

Root-aligned SMILES for Molecular Retrosynthesis Prediction

Retrosynthesis prediction is a fundamental problem in organic synthesis,...

0 Zipeng Zhong, et al. ∙

research

∙ 03/07/2022

Knowledge Amalgamation for Object Detection with Transformers

Knowledge amalgamation (KA) is a novel deep model reusing task aiming to...

6 Haofei Zhang, et al. ∙

research

∙ 12/16/2021

Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN

Although deep learning has achieved impressive advances in transient sta...

0 Gengshi Han, et al. ∙

research

∙ 12/09/2021

Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers

Recently, Convolutional Neural Network (CNN) has achieved excellent perf...

1 Zunlei Feng, et al. ∙

research

∙ 11/23/2021

Learning Dynamic Preference Structure Embedding From Temporal Networks

The dynamics of temporal networks lie in the continuous interactions bet...

0 Tongya Zheng, et al. ∙

research

∙ 09/29/2021

Distribution Knowledge Embedding for Graph Pooling

Graph-level representation learning is the pivotal step for downstream t...

0 Kaixuan Chen, et al. ∙

research

∙ 08/01/2021

Boundary Knowledge Translation based Reference Semantic Segmentation

Given a reference object of an unknown type in an image, human observers...

0 Lechao Cheng, et al. ∙

research

∙ 08/01/2021

Edge-competing Pathological Liver Vessel Segmentation with Limited Labels

The microvascular invasion (MVI) is a major prognostic factor in hepatoc...

0 Zunlei Feng, et al. ∙

research

∙ 08/01/2021

Visual Boundary Knowledge Translation for Foreground Segmentation

When confronted with objects of unknown types in an image, humans can ef...

0 Zunlei Feng, et al. ∙

research

∙ 07/28/2021

Shape Controllable Virtual Try-on for Underwear Models

Image virtual try-on task has abundant applications and has become a hot...

0 Xin Gao, et al. ∙

research

∙ 10/17/2020

DEAL: Difficulty-aware Active Learning for Semantic Segmentation

Active learning aims to address the paucity of labeled data by finding t...

0 Shuai Xie, et al. ∙

research

∙ 10/12/2020

Factorizable Graph Convolutional Networks

Graphs have been widely adopted to denote structural connections between...

0 Yiding Yang, et al. ∙

research

∙ 04/13/2020

Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization

The automatic intensity estimation of facial action units (AUs) from a s...

12 Xinhui Song, et al. ∙

research

∙ 04/03/2020

Disassembling Object Representations without Labels

In this paper, we study a new representation-learning task, which we ter...

0 Zunlei Feng, et al. ∙

research

∙ 06/13/2018

Interpretable Partitioned Emebedding for Customized Fashion Outfit Composition

Intelligent fashion outfit composition becomes more and more popular in ...

6 Zunlei Feng, et al. ∙

research

∙ 06/13/2018

Interpretable Partitioned Embedding for Customized Fashion Outfit Composition

Intelligent fashion outfit composition becomes more and more popular in ...

0 Zunlei Feng, et al. ∙

research

∙ 05/27/2018

Dual Swap Disentangling

Learning interpretable disentangled representations is a crucial yet cha...

0 Zunlei Feng, et al. ∙

research

∙ 02/20/2018

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields

Recently, in the community of Neural Style Transfer, several algorithms ...

0 Yongcheng Jing, et al. ∙

research

∙ 05/11/2017

Neural Style Transfer: A Review

The recent work of Gatys et al. demonstrated the power of Convolutional ...

0 Yongcheng Jing, et al. ∙

Zunlei Feng

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