22 citations · 85 across the 15 of their papers we have counts for
16 papers
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks
Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou +1
Combinatorial optimization finds an optimal solution within a discrete set of variables and constraints. The field has seen tremendous progress both in research and industry. With…
ETran: Energy-Based Transferability Estimation
Mohsen Gholami, Mohammad Akbari, Xinglu Wang +2
This paper addresses the problem of ranking pre-trained models for object detection and image classification. Selecting the best pre-trained model by fine-tuning is an expensive an…
ReliableSwap: Boosting General Face Swapping Via Reliable Supervision
Ge Yuan, Maomao Li, Yong Zhang +1
Almost all advanced face swapping approaches use reconstruction as the proxy task, i.e., supervision only exists when the target and source belong to the same person. Otherwise, la…
Improved Test-Time Adaptation for Domain Generalization
Liang Chen, Yong Zhang, Yibing Song +2
The main challenge in domain generalization (DG) is to handle the distribution shift problem that lies between the training and test data. Recent studies suggest that test-time tra…
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
Jianrong Zhang, Yangsong Zhang, Xiaodong Cun +5
In this work, we investigate a simple and must-known conditional generative framework based on Vector Quantised-Variational AutoEncoder (VQ-VAE) and Generative Pre-trained Transfor…
A Real-time Critical-scenario-generation Framework for Testing Autonomous Driving System
Yizhou Xie, Kunpeng Dai, Yong Zhang
In order to find the most likely failure scenarios which may occur under certain given operation domain, critical-scenario-based test is supposed as an effective and widely used me…
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling
Jiyuan Cao, Zhilei Liu, Yong Zhang
Facial Action Unit (AU) detection is a crucial task for emotion analysis from facial movements. The apparent differences of different subjects sometimes mislead changes brought by…
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation
Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei +1
Image-to-image translation models are shown to be vulnerable to the Membership Inference Attack (MIA), in which the adversary's goal is to identify whether a sample is used to trai…
Fair and efficient contribution valuation for vertical federated learning
Zhenan Fan, Huang Fang, Xinglu Wang +4
Federated learning is an emerging technology for training machine learning models across decentralized data sources without sharing data. Vertical federated learning, also known as…
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space
Geng Chen, Bin Dong, Yong Zhang +3
Diffusion MRI requires sufficient coverage of the diffusion wavevector space, also known as the q-space, to adequately capture the pattern of water diffusion in various directions…
Sparse Approximation via Penalty Decomposition Methods
Zhaosong Lu, Yong Zhang
In this paper we consider sparse approximation problems, that is, general minimization problems with the -"norm" of a vector being a part of constraints or objective fun…
Minimization for Wavelet Frame Based Image Restoration
Yong Zhang, Bin Dong, Zhaosong Lu
The theory of (tight) wavelet frames has been extensively studied in the past twenty years and they are currently widely used for image restoration and other image processing and a…
An Alternating Direction Method for Finding Dantzig Selectors
Zhaosong Lu, Ting Kei Pong, Yong Zhang
In this paper, we study the alternating direction method for finding the Dantzig selectors, which are first introduced in [8]. In particular, at each iteration we apply the nonmono…
Penalty Decomposition Methods for Rank Minimization
Zhaosong Lu, Yong Zhang
In this paper we consider general rank minimization problems with rank appearing in either objective function or constraint. We first establish that a class of special rank minimiz…
Penalty Decomposition Methods for -Norm Minimization
Zhaosong Lu, Yong Zhang
In this paper we consider general l0-norm minimization problems, that is, the problems with l0-norm appearing in either objective function or constraint. In particular, we first re…
An Augmented Lagrangian Approach for Sparse Principal Component Analysis
Zhaosong Lu, Yong Zhang
Principal component analysis (PCA) is a widely used technique for data analysis and dimension reduction with numerous applications in science and engineering. However, the standard…