200 citations · 600 across the 27 of their papers we have counts for
27 papers
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
Yusheng Zhao, Xiao Luo, Wei Ju +3
This paper studies the problem of traffic flow forecasting, which aims to predict future traffic conditions on the basis of road networks and traffic conditions in the past. The pr…
Convergence Analysis of Nonlinear Kaczmarz Method for Systems of Nonlinear Equations with Component-wise Convex Mapping
Yu Gao, Chong Chen
Motivated by a class of nonlinear imaging inverse problems, for instance, multispectral computed tomography (MSCT), this paper studies the convergence theory of the nonlinear Kaczm…
A Bi-variant Variational Model for Diffeomorphic Image Registration with Relaxed Jacobian Determinant Constraints
Yanyan Li, Ke Chen, Chong Chen +1
Diffeomorphic registration is a widely used technique for finding a smooth and invertible transformation between two coordinate systems, which are measured using template and refer…
Motion-robust free-running volumetric cardiovascular MRI
Syed M. Arshad, Lee C. Potter, Chong Chen +7
PURPOSE: To present and assess an outlier mitigation method that makes free-running volumetric cardiovascular MRI (CMR) more robust to motion. METHODS: The proposed method, called…
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Nan Yin, Li Shen, Mengzhu Wang +5
Although graph neural networks (GNNs) have achieved impressive achievements in graph classification, they often need abundant task-specific labels, which could be extensively costl…
Solution existence, uniqueness, and stability of discrete basis sinograms in multispectral CT
Yu Gao, Xiaochuan Pan, Chong Chen
This work investigates conditions for quantitative image reconstruction in multispectral computed tomography (MSCT), which remains a topic of active research. In MSCT, one seeks to…
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
Hao Wu, Fan Xu, Chong Chen +3
In this paper, we investigate the challenge of spatio-temporal video prediction task, which involves generating future video frames based on historical spatio-temporal observation…
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
Wei Ju, Xiao Luo, Meng Qu +5
This paper studies semi-supervised graph classification, a crucial task with a wide range of applications in social network analysis and bioinformatics. Recent works typically adop…
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval
Haitao Li, Qingyao Ai, Jia Chen +5
Legal case retrieval, which aims to find relevant cases for a query case, plays a core role in the intelligent legal system. Despite the success that pre-training has achieved in a…
Towards Representation Alignment and Uniformity in Collaborative Filtering
Chenyang Wang, Yuanqing Yu, Weizhi Ma +4
Collaborative filtering (CF) plays a critical role in the development of recommender systems. Most CF methods utilize an encoder to embed users and items into the same representati…
Technical Report (v1.0)--Pseudo-random Cartesian Sampling for Dynamic MRI
Mihir Joshi, Aaron Pruitt, Chong Chen +2
For an effective application of compressed sensing (CS), which exploits the underlying compressibility of an image, one of the requirements is that the undersampling artifact be in…
A Survey on Dropout Methods and Experimental Verification in Recommendation
Yangkun Li, Weizhi Ma, Chong Chen +4
Overfitting is a common problem in machine learning, which means the model too closely fits the training data while performing poorly in the test data. Among various methods of cop…
Cardiac and respiratory motion extraction for MRI using Pilot Tone-a patient study
Chong Chen, Yingmin Liu, Orlando P. Simonetti +5
Background: Several studies have shown that both respiratory and cardiac motion can be extracted from the Pilot Tone (PT) signal successfully. However, most of these studies were p…
Recommendation Unlearning
Chong Chen, Fei Sun, Min Zhang +1
Recommender systems provide essential web services by learning users' personal preferences from collected data. However, in many cases, systems also need to forget some training da…
An Extended Primal-Dual Algorithm Framework for Nonconvex Problems with Application to Nonlinear Imaging
Yu Gao, Xiaochuan Pan, Chong Chen
We propose an extended primal-dual algorithm framework for solving a general nonconvex optimization model. This work is motivated by image reconstruction problems in a class of non…
Automatic image-based respiratory signal extraction in real-time CMR
Chong Chen, Yingmin Liu, Orlando P. Simonetti +1
Purpose: To develop a fully automatic method for extraction and directionality determination of respiratory signal in free-breathing, real-time (RT) cardiac MRI. Methods: The respi…
Spatiotemporal Imaging with Diffeomorphic Optimal Transportation
Chong Chen
We propose a variational model with diffeomorphic optimal transportation for joint image reconstruction and motion estimation. The proposed model is a production of assembling the…
A Novel Neural Network Training Framework with Data Assimilation
Chong Chen, Qinghui Xing, Xin Ding +2
In recent years, the prosperity of deep learning has revolutionized the Artificial Neural Networks. However, the dependence of gradients and the offline training mechanism in the l…
CIMON: Towards High-quality Hash Codes
Xiao Luo, Daqing Wu, Zeyu Ma +6
Recently, hashing is widely used in approximate nearest neighbor search for its storage and computational efficiency. Most of the unsupervised hashing methods learn to map images i…
Deep Robust Clustering by Contrastive Learning
Huasong Zhong, Chong Chen, Zhongming Jin +1
Recently, many unsupervised deep learning methods have been proposed to learn clustering with unlabelled data. By introducing data augmentation, most of the latest methods look int…
OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging
Chong Chen, Yingmin Liu, Philip Schniter +5
Cardiovascular MRI (CMR) is a non-invasive imaging modality that provides excellent soft-tissue contrast without the use of ionizing radiation. Physiological motions and limited sp…
A Fast and Adaptive Algorithm to Compute the X-ray Transform
Chong Chen, Runqian Wang, Chandrajit Bajaj +1
We propose a new algorithm to compute the X-ray transform of an image represented by unit (pixel/voxel) basis functions. The fundamental issue is equivalently calculating the inter…
A Survey on Deep Hashing Methods
Xiao Luo, Haixin Wang, Daqing Wu +4
Nearest neighbor search aims to obtain the samples in the database with the smallest distances from them to the queries, which is a basic task in a range of fields, including compu…
Automatic Extraction and Sign Determination of Respiratory Signal in Real-time Cardiac Magnetic Resonance imaging
Chong Chen, Yingmin Liu, Orlando P. Simonetti +1
In real-time (RT) cardiac cine imaging, a stack of 2D slices is collected sequentially under free-breathing conditions. A complete heartbeat from each slice is then used for cardia…