Jicong Fan | DeepAI

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Featured Co-authors

Yi Yang
329 publications
Yang Wang
233 publications
Meng Wang
217 publications
Jie Zhang
215 publications
Shuicheng Yan
187 publications
Zhao Zhang
100 publications
Dong Yang
63 publications
Jin Liu
61 publications
Yudong Chen
58 publications
Richang Hong
52 publications
Madeleine Udell
47 publications

∙ 07/18/2023

ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint

Large-scale online recommender system spreads all over the Internet bein...

0 Zhenhao Jiang, et al. ∙

∙ 07/09/2023

Restricted Generative Projection for One-Class Classification and Anomaly Detection

We present a simple framework for one-class classification and anomaly d...

0 Feng Xiao, et al. ∙

∙ 02/13/2023

Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection

Graph-level anomaly detection aims to identify anomalous graphs from a c...

0 Yunhe Zhang, et al. ∙

∙ 02/05/2023

Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network

In this work, we study the problem of partitioning a set of graphs into ...

0 Jinyu Cai, et al. ∙

∙ 11/02/2022

SufrinNet: Toward Sufficient Cross-View Interaction for Stereo Image Enhancement in The Dark

Low-light stereo image enhancement (LLSIE) is a relatively new task to e...

0 Huan Zheng, et al. ∙

∙ 07/25/2022

Laplacian-based Cluster-Contractive t-SNE for High Dimensional Data Visualization

Dimensionality reduction techniques aim at representing high-dimensional...

0 Yan Sun, et al. ∙

∙ 06/09/2022

Unsupervised Deep Discriminant Analysis Based Clustering

This work presents an unsupervised deep discriminant analysis for cluste...

0 Jinyu Cai, et al. ∙

∙ 06/06/2022

Perturbation Learning Based Anomaly Detection

This paper presents a simple yet effective method for anomaly detection....

0 Jinyu Cai, et al. ∙

∙ 04/30/2022

ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization

Network quantization has emerged as a promising method for model compres...

7 Yangcheng Gao, et al. ∙

∙ 07/23/2021

EGGS: Eigen-Gap Guided Search Making Subspace Clustering Easy

The performance of spectral clustering heavily relies on the quality of ...

0 Jicong Fan, et al. ∙

∙ 12/08/2020

k-Factorization Subspace Clustering

Subspace clustering (SC) aims to cluster data lying in a union of low-di...

0 Jicong Fan, et al. ∙

∙ 12/07/2020

Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization

The nuclear norm and Schatten-p quasi-norm of a matrix are popular rank ...

10 Jicong Fan, et al. ∙

∙ 06/29/2020

kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles

This paper proposes a new variant of Frank-Wolfe (FW), called kFW. Stand...

0 Lijun Ding, et al. ∙

∙ 06/07/2020

Efficient AutoML Pipeline Search with Matrix and Tensor Factorization

Data scientists seeking a good supervised learning model on a new datase...

0 Chengrun Yang, et al. ∙

∙ 05/04/2020

Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering

Low dimensional nonlinear structure abounds in datasets across computer ...

62 Jicong Fan, et al. ∙

∙ 03/06/2020

Centrality Graph Convolutional Networks for Skeleton-based Action Recognition

The topological structure of skeleton data plays a significant role in h...

0 Dong Yang, et al. ∙

∙ 02/20/2020

Online high rank matrix completion

Recent advances in matrix completion enable data imputation in full-rank...

0 Jicong Fan, et al. ∙

∙ 12/15/2019

DerainCycleGAN: An Attention-guided Unsupervised Benchmark for Single Image Deraining and Rainmaking

Single image deraining (SID) is an important and challenging topic in em...

16 Yanyan Wei, et al. ∙

∙ 12/15/2019

Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning

This paper develops new methods to recover the missing entries of a high...

0 Jicong Fan, et al. ∙

∙ 11/13/2019

Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery

This paper develops a new class of nonconvex regularizers for low-rank m...

0 Jicong Fan, et al. ∙

∙ 02/28/2018

Exactly Robust Kernel Principal Component Analysis

We propose a novel method called robust kernel principal component analy...

0 Jicong Fan, et al. ∙

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