Haonan Wang | DeepAI

DeepAI AI Chat

Featured Co-authors

Bo Li
461 publications
Qi Zhang
242 publications
Chao Zhang
239 publications
Xiaodan Liang
197 publications
Ang Li
174 publications
Jiawei Han
140 publications
Jie Tang
135 publications
Xing Xie
128 publications
Yonghui Li
116 publications
Jie Liu
114 publications
Zhenguo Li
107 publications

∙ 08/10/2023

The Fast and the Private: Task-based Dataset Search

Modern dataset search platforms employ ML task-based utility metrics ins...

0 Zezhou Huang, et al. ∙

∙ 07/31/2023

Lightweight Super-Resolution Head for Human Pose Estimation

Heatmap-based methods have become the mainstream method for pose estimat...

0 Haonan Wang, et al. ∙

∙ 07/22/2023

DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation

The volume-wise labeling of 3D medical images is expertise-demanded and ...

0 Haonan Wang, et al. ∙

∙ 07/17/2023

Complexity Matters: Rethinking the Latent Space for Generative Modeling

In generative modeling, numerous successful approaches leverage a low-di...

0 Tianyang Hu, et al. ∙

∙ 06/28/2023

Subclass-balancing Contrastive Learning for Long-tailed Recognition

Long-tailed recognition with imbalanced class distribution naturally eme...

0 Chengkai Hou, et al. ∙

∙ 06/24/2023

Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective

Graph neural networks (GNNs) have pioneered advancements in graph repres...

0 Wei Huang, et al. ∙

∙ 06/08/2023

Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce

Ranking model plays an essential role in e-commerce search and recommend...

0 Juan Gong, et al. ∙

∙ 05/25/2023

Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation

Medical image data are often limited due to the expensive acquisition an...

0 Xinyue Xu, et al. ∙

∙ 05/09/2023

Boosting Visual-Language Models by Exploiting Hard Samples

Large vision and language models, such as Contrastive Language-Image Pre...

0 Haonan Wang, et al. ∙

∙ 05/06/2023

Functional diffusion driven stochastic volatility model

We propose a stochastic volatility model for time series of curves. It i...

0 Piotr Kokoszka, et al. ∙

∙ 03/01/2023

Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation

Effectively extracting inter-frame motion and appearance information is ...

0 Guozhen Zhang, et al. ∙

∙ 12/07/2022

Artificial Intelligence Security Competition (AISC)

The security of artificial intelligence (AI) is an important research ar...

12 Yinpeng Dong, et al. ∙

∙ 11/20/2022

Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph?

Existing graph contrastive learning (GCL) typically requires two forward...

0 Haonan Wang, et al. ∙

∙ 10/28/2022

BEBERT: Efficient and robust binary ensemble BERT

Pre-trained BERT models have achieved impressive accuracy on natural lan...

0 Jiayi Tian, et al. ∙

∙ 06/06/2022

A Neural Corpus Indexer for Document Retrieval

Current state-of-the-art document retrieval solutions mainly follow an i...

1 Yujing Wang, et al. ∙

∙ 05/25/2022

Understanding Programmatic Weak Supervision via Source-aware Influence Function

Programmatic Weak Supervision (PWS) aggregates the source votes of multi...

0 Jieyu Zhang, et al. ∙

∙ 04/11/2022

Augmentation-Free Graph Contrastive Learning

Graph contrastive learning (GCL) is the most representative and prevalen...

15 Haonan Wang, et al. ∙

∙ 03/12/2022

Reconfigurable MIMO towards Electro-magnetic Information Theory: Capacity Maximization Pattern Design

In this paper, we focus on the pattern reconfigurable multiple-input mul...

0 Haonan Wang, et al. ∙

∙ 02/12/2022

Capacity Maximization Pattern Design for Reconfigurable MIMO Antenna Array

Multi-functional and reconfigurable multiple-input multiple-output (MR-M...

0 Haonan Wang, et al. ∙

∙ 01/15/2022

Training Fair Deep Neural Networks by Balancing Influence

Most fair machine learning methods either highly rely on the sensitive i...

0 Haonan Wang, et al. ∙

∙ 10/28/2021

From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems

With the prevalence of deep learning based embedding approaches, recomme...

0 Yao Zhou, et al. ∙

∙ 10/16/2021

Deep Active Learning by Leveraging Training Dynamics

Active learning theories and methods have been extensively studied in cl...

17 Haonan Wang, et al. ∙

∙ 09/09/2021

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

Most recent semantic segmentation methods adopt a U-Net framework with a...

26 Haonan Wang, et al. ∙

∙ 05/31/2021

Controllable Gradient Item Retrieval

In this paper, we identify and study an important problem of gradient it...

0 Haonan Wang, et al. ∙

∙ 09/11/2020

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization

Graph neural networks (GNNs) have been shown with superior performance i...

36 Qi Zhu, et al. ∙

∙ 05/01/2020

Secure Network Release with Link Privacy

Many data mining and analytical tasks rely on the abstraction of network...

0 Carl Yang, et al. ∙

∙ 05/31/2019

Design Light-weight 3D Convolutional Networks for Video Recognition Temporal Residual, Fully Separable Block, and Fast Algorithm

Deep 3-dimensional (3D) Convolutional Network (ConvNet) has shown promis...

0 Haonan Wang, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world