Yaming Yang | DeepAI

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Dacheng Tao
495 publications
Yang Wang
233 publications
Yan Zhang
195 publications
Zhe Wang
161 publications
Ce Zhang
133 publications
Chen Zhang
118 publications
Irwin King
101 publications
Daxin Jiang
100 publications
Yue Yu
98 publications
Gao Huang
92 publications
Wei Shen
89 publications

∙ 04/26/2023

Self-Supervised Multi-Modal Sequential Recommendation

With the increasing development of e-commerce and online services, perso...

0 Kunzhe Song, et al. ∙

∙ 02/19/2023

Pseudo Contrastive Learning for Graph-based Semi-supervised Learning

Pseudo Labeling is a technique used to improve the performance of semi-s...

0 Weigang Lu, et al. ∙

∙ 12/16/2022

Convolution-enhanced Evolving Attention Networks

Attention-based neural networks, such as Transformers, have become ubiqu...

0 Yujing Wang, et al. ∙

∙ 11/10/2022

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

Responding with multi-modal content has been recognized as an essential ...

0 Jiazhan Feng, et al. ∙

∙ 10/19/2022

Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering

Recent self-supervised pre-training methods on Heterogeneous Information...

7 Yaming Yang, et al. ∙

∙ 08/13/2022

Entropy Induced Pruning Framework for Convolutional Neural Networks

Structured pruning techniques have achieved great compression performanc...

0 Yiheng Lu, et al. ∙

∙ 08/02/2022

Binary Classification with Positive Labeling Sources

To create a large amount of training labels for machine learning models ...

0 Jieyu Zhang, et al. ∙

∙ 03/16/2022

Privacy-preserving Online AutoML for Domain-Specific Face Detection

Despite the impressive progress of general face detection, the tuning of...

0 Chenqian Yan, et al. ∙

∙ 12/22/2021

SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks

Over-smoothing is a challenging problem, which degrades the performance ...

0 Weigang Lu, et al. ∙

∙ 10/16/2021

Multimodal Dialogue Response Generation

Responsing with image has been recognized as an important capability for...

20 Qingfeng Sun, et al. ∙

∙ 10/07/2021

Creating Training Sets via Weak Indirect Supervision

Creating labeled training sets has become one of the major roadblocks in...

9 Jieyu Zhang, et al. ∙

∙ 10/03/2021

Graph Pointer Neural Networks

Graph Neural Networks (GNNs) have shown advantages in various graph-base...

0 Tianmeng Yang, et al. ∙

∙ 09/23/2021

WRENCH: A Comprehensive Benchmark for Weak Supervision

Recent Weak Supervision (WS) approaches have had widespread success in e...

0 Jieyu Zhang, et al. ∙

∙ 09/05/2021

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation

To alleviate data sparsity and cold-start problems of traditional recomm...

13 Yankai Chen, et al. ∙

∙ 08/06/2021

AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing

Architecture performance predictors have been widely used in neural arch...

17 Yuge Zhang, et al. ∙

∙ 03/07/2021

Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees

Pre-trained language models like BERT achieve superior performances in v...

0 Jiangang Bai, et al. ∙

∙ 10/16/2020

How Does Supernet Help in Neural Architecture Search?

With the success of Neural Architecture Search (NAS), weight sharing, as...

0 Yuge Zhang, et al. ∙

∙ 10/14/2020

AutoADR: Automatic Model Design for Ad Relevance

Large-scale pre-trained models have attracted extensive attention in the...

4 Yiren Chen, et al. ∙

∙ 05/27/2020

Interpretable and Efficient Heterogeneous Graph Convolutional Network

Graph Convolutional Network (GCN) has achieved extraordinary success in ...

10 Yaming Yang, et al. ∙

∙ 04/08/2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

BERT is a cutting-edge language representation model pre-trained by a la...

0 Yihuan Mao, et al. ∙

∙ 04/08/2020

Improving BERT with Self-Supervised Attention

One of the most popular paradigms of applying large, pre-trained NLP mod...

0 Xiaoyu Kou, et al. ∙

∙ 01/06/2020

Deeper Insights into Weight Sharing in Neural Architecture Search

With the success of deep neural networks, Neural Architecture Search (NA...

19 Yuge Zhang, et al. ∙

∙ 12/23/2019

TextNAS: A Neural Architecture Search Space tailored for Text Representation

Learning text representation is crucial for text classification and othe...

0 Yujing Wang, et al. ∙

∙ 10/10/2019

An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation

Graph Convolutional Network (GCN) has attracted intensive interests rece...

28 Nezihe Merve Gürel, et al. ∙

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