b'Can Wang'

research

∙ 08/13/2023

CDR: Conservative Doubly Robust Learning for Debiased Recommendation

In recommendation systems (RS), user behavior data is observational rath...

0 Zijie Song, et al. ∙

research

∙ 07/10/2023

Customizing Synthetic Data for Data-Free Student Learning

Data-free knowledge distillation (DFKD) aims to obtain a lightweight stu...

0 Shiya Luo, et al. ∙

research

∙ 06/17/2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

Graph Neural Networks (GNNs) have emerged as the de facto standard for r...

0 Zhiyao Zhou, et al. ∙

research

∙ 06/11/2023

Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning

Multi-Teacher knowledge distillation provides students with additional s...

0 Hailin Zhang, et al. ∙

research

∙ 05/31/2023

A Geometric Perspective on Diffusion Models

Recent years have witnessed significant progress in developing efficient...

0 Defang Chen, et al. ∙

research

∙ 05/19/2023

Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields

Text-driven 3D scene generation is widely applicable to video gaming, fi...

0 Jingbo Zhang, et al. ∙

research

∙ 03/30/2023

AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

Neural implicit fields are powerful for representing 3D scenes and gener...

0 Ruixiang Jiang, et al. ∙

research

∙ 12/28/2022

Robust Sequence Networked Submodular Maximization

In this paper, we study the Robust optimization for sequence Networked s...

0 Qihao Shi, et al. ∙

research

∙ 12/15/2022

NeRF-Art: Text-Driven Neural Radiance Fields Stylization

As a powerful representation of 3D scenes, the neural radiance field (Ne...

0 Can Wang, et al. ∙

research

∙ 11/22/2022

Accelerating Diffusion Sampling with Classifier-based Feature Distillation

Although diffusion model has shown great potential for generating higher...

0 Wujie Sun, et al. ∙

research

∙ 10/25/2022

Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision

Graph neural networks (GNNs) have become one of the most popular researc...

0 Jiongyu Guo, et al. ∙

research

∙ 08/11/2022

FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing

We propose a Few-shot Dynamic Neural Radiance Field (FDNeRF), the first ...

8 Jingbo Zhang, et al. ∙

research

∙ 06/07/2022

Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation

Knowledge graph embedding (KGE) has been intensively investigated for li...

0 Zhehui Zhou, et al. ∙

research

∙ 05/31/2022

A sharp α-robust L1 scheme on graded meshes for two-dimensional time tempered fractional Fokker-Planck equation

In this paper, we are concerned with the numerical solution for the two-...

0 Can Wang, et al. ∙

research

∙ 05/23/2022

Numerical method for the Fokker-Planck equation of Brownian motion subordinated by inverse tempered stable subordinator with drift

In this work, based on the complete Bernstein function, we propose a gen...

0 Xiangong Tang, et al. ∙

research

∙ 05/05/2022

Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks

Existing knowledge distillation methods on graph neural networks (GNNs) ...

0 Jiongyu Guo, et al. ∙

research

∙ 03/26/2022

Knowledge Distillation with the Reused Teacher Classifier

Knowledge distillation aims to compress a powerful yet cumbersome teache...

0 Defang Chen, et al. ∙

research

∙ 02/16/2022

Deeply-Supervised Knowledge Distillation

Knowledge distillation aims to enhance the performance of a lightweight ...

0 Shiya Luo, et al. ∙

research

∙ 01/21/2022

Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization

Localizing keypoints of an object is a basic visual problem. However, su...

7 Can Wang, et al. ∙

research

∙ 12/30/2021

Confidence-Aware Multi-Teacher Knowledge Distillation

Knowledge distillation is initially introduced to utilize additional sup...

0 Hailin Zhang, et al. ∙

research

∙ 12/28/2021

Online Adversarial Distillation for Graph Neural Networks

Knowledge distillation has recently become a popular technique to improv...

9 Can Wang, et al. ∙

research

∙ 12/09/2021

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

We present CLIP-NeRF, a multi-modal 3D object manipulation method for ne...

4 Can Wang, et al. ∙

research

∙ 09/14/2021

Exploring the Connection between Knowledge Distillation and Logits Matching

Knowledge distillation is a generalized logits matching technique for mo...

0 Defang Chen, et al. ∙

research

∙ 08/12/2021

Distilling Holistic Knowledge with Graph Neural Networks

Knowledge Distillation (KD) aims at transferring knowledge from a larger...

0 Sheng Zhou, et al. ∙

research

∙ 08/04/2021

Deep Portrait Lighting Enhancement with 3D Guidance

Despite recent breakthroughs in deep learning methods for image lighting...

6 Fangzhou Han, et al. ∙

research

∙ 07/23/2021

Human Pose Regression with Residual Log-likelihood Estimation

Heatmap-based methods dominate in the field of human pose estimation by ...

7 Jiefeng Li, et al. ∙

research

∙ 04/22/2021

Cross-Domain and Disentangled Face Manipulation with 3D Guidance

Face image manipulation via three-dimensional guidance has been widely a...

16 Can Wang, et al. ∙

research

∙ 04/22/2021

Attribute-Modulated Generative Meta Learning for Zero-Shot Classification

Zero-shot learning (ZSL) aims to transfer knowledge from seen classes to...

0 Yun Li, et al. ∙

research

∙ 11/16/2020

CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation

Sampling strategies have been widely applied in many recommendation syst...

0 Jiawei Chen, et al. ∙

research

∙ 11/16/2020

SamWalker++: recommendation with informative sampling strategy

Recommendation from implicit feedback is a highly challenging task due t...

0 Can Wang, et al. ∙

research

∙ 09/11/2020

TRec: Sequential Recommender Based On Latent Item Trend Information

Recommendation system plays an important role in online web applications...

0 Ye Tao, et al. ∙

research

∙ 08/01/2020

HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation

Remarkable progress has been made in 3D human pose estimation from a mon...

0 Jiefeng Li, et al. ∙

research

∙ 07/23/2020

Whole-Body Human Pose Estimation in the Wild

This paper investigates the task of 2D human whole-body pose estimation,...

31 Sheng Jin, et al. ∙

research

∙ 07/14/2020

Spectrum-Guided Adversarial Disparity Learning

It has been a significant challenge to portray intraclass disparity prec...

0 Zhe Liu, et al. ∙

research

∙ 07/12/2020

Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition

Current facial expression recognition methods fail to simultaneously cop...

0 Guang Liang, et al. ∙

research

∙ 07/06/2020

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Modeling complex spatial and temporal correlations in the correlated tim...

7 Lei Bai, et al. ∙

research

∙ 03/04/2020

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback

Recommendation from implicit feedback is a highly challenging task due t...

0 Jiawei Chen, et al. ∙

research

∙ 12/01/2019

Online Knowledge Distillation with Diverse Peers

Distillation is an effective knowledge-transfer technique that uses pred...

20 Defang Chen, et al. ∙

research

∙ 11/14/2019

Hierarchical Graph Pooling with Structure Learning

Graph Neural Networks (GNNs), which generalize deep neural networks to g...

0 Zhen Zhang, et al. ∙

research

∙ 01/31/2019

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding

Given the intractability of large scale HIN, network embedding which lea...

0 Sheng Zhou, et al. ∙

research

∙ 12/02/2018

CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark

Multi-person pose estimation is fundamental to many computer vision task...

0 Jiefeng Li, et al. ∙

research

∙ 04/16/2018

Multi-modality Sensor Data Classification with Selective Attention

Multimodal wearable sensor data classification plays an important role i...

0 Xiang Zhang, et al. ∙

research

∙ 08/26/2017

Sales Forecast in E-commerce using Convolutional Neural Network

Sales forecast is an essential task in E-commerce and has a crucial impa...

0 Kui Zhao, et al. ∙

research

∙ 08/26/2017

Navigation Objects Extraction for Better Content Structure Understanding

Existing works for extracting navigation objects from webpages focus on ...

0 Kui Zhao, et al. ∙

research

∙ 08/26/2017

Deep Style Match for Complementary Recommendation

Humans develop a common sense of style compatibility between items based...

0 Kui Zhao, et al. ∙

research

∙ 08/26/2017

Effective Blog Pages Extractor for Better UGC Accessing

Blog is becoming an increasingly popular media for information publishin...

0 Kui Zhao, et al. ∙

Can Wang

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