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Featured Co-authors

Dong Wang
238 publications
Chang Liu
231 publications
Jie Li
179 publications
Roger Wattenhofer
119 publications
Junchi Yan
113 publications
Bo Chen
105 publications
Ruiming Tang
64 publications
Yichi Zhang
59 publications
Hongtao Lu
46 publications
Xiang Yu
28 publications
Xin Xin
26 publications

∙ 09/16/2023

UNIDEAL: Curriculum Knowledge Distillation Federated Learning

Federated Learning (FL) has emerged as a promising approach to enable co...

0 Yuwen Yang, et al. ∙

∙ 07/28/2023

Prompt Guided Transformer for Multi-Task Dense Prediction

Task-conditional architecture offers advantage in parameter efficiency b...

0 Yuxiang Lu, et al. ∙

∙ 04/21/2023

BPJDet: Extended Object Representation for Generic Body-Part Joint Detection

Detection of human body and its parts (e.g., head or hands) has been int...

0 Huayi Zhou, et al. ∙

∙ 11/19/2022

EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test

The message-passing scheme is the core of graph representation learning....

0 Chang Liu, et al. ∙

∙ 11/01/2022

Position-Aware Subgraph Neural Networks with Data-Efficient Learning

Data-efficient learning on graphs (GEL) is essential in real-world appli...

0 Chang Liu, et al. ∙

∙ 10/28/2022

Completely Heterogeneous Federated Learning

Federated learning (FL) faces three major difficulties: cross-domain, he...

0 Chang Liu, et al. ∙

∙ 10/13/2022

NoMorelization: Building Normalizer-Free Models from a Sample's Perspective

The normalizing layer has become one of the basic configurations of deep...

0 Chang Liu, et al. ∙

∙ 08/11/2022

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation

The cold-start problem is a long-standing challenge in recommender syste...

0 Yuxiang Shi, et al. ∙

∙ 03/24/2022

GraphCoCo: Graph Complementary Contrastive Learning

Graph Contrastive Learning (GCL) has shown promising performance in grap...

0 Jiawei Sun, et al. ∙

∙ 11/21/2021

FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform

Single image super-resolution(SISR) is an ill-posed problem that aims to...

18 Runyuan Cai, et al. ∙

∙ 09/28/2021

Extracting Attentive Social Temporal Excitation for Sequential Recommendation

In collaborative filtering, it is an important way to make full use of s...

0 Yunzhe Li, et al. ∙

∙ 09/27/2021

On Isotropy Calibration of Transformers

Different studies of the embedding space of transformer models suggest t...

0 Yue Ding, et al. ∙

∙ 09/27/2021

ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation

Item recommendation based on historical user-item interactions is of vit...

0 Yule Wang, et al. ∙

∙ 09/26/2021

DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction

In this paper, we propose a novel model named DemiNet (short for DEpende...

0 Yule Wang, et al. ∙

∙ 03/19/2021

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation

Sequential recommendation as an emerging topic has attracted increasing ...

0 Zhe Xie, et al. ∙

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