Yong Zhang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 45

Top Topics

Natural Language Descriptions

Logistic Regression

Cardinality Constraints

Top Venues

Publications

Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang
Towards Human-aligned Evaluation for Linear Programming Word Problems. LREC/COLING (2024)
Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process. CoRR (2024)
Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
Fair and Efficient Contribution Valuation for Vertical Federated Learning. ICLR (2024)
Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence. IEEE Trans. Autom. Control. 68 (8) (2023)
Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. ECML/PKDD (4) (2023)
Rindranirina Ramamonjison, Timothy T. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. CoRR (2023)
Saeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Yong Zhang
NFT-Based Data Marketplace with Digital Watermarking. KDD (2023)
Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoNLL (2023)
Rindranirina Ramamonjison, Haley Li, Timothy T. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions. CoRR (2022)
Tianyu Zhang, Amin Banitalebi-Dehkordi, Yong Zhang
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch. CoRR (2022)
Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. CVPR Workshops (2022)
Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. CoRR (2022)
Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang
Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning. CoRR (2022)
Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. ACL (1) (2022)
Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang
Extending Momentum Contrast with Cross Similarity Consistency Regularization. CoRR (2022)
Rindra Ramamonjison, Haley Li, Timothy T. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions. EMNLP (Industry Track) (2022)
Tianyu Zhang, Amin Banitalebi-Dehkordi, Yong Zhang
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch. ICPR (2022)
Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang
Extending Momentum Contrast With Cross Similarity Consistency Regularization. IEEE Trans. Circuits Syst. Video Technol. 32 (10) (2022)
Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. ECCV (36) (2022)
Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. CoRR (2022)
Fabrizio Pedersoli, Dryden Wiebe, Amin Banitalebi, Yong Zhang, Kwang Moo Yi
Estimating Visual Information From Audio Through Manifold Learning. CoRR (2022)
Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang
Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning. CoRR (2022)
Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. NeurIPS (Competition and Demos) (2021)
Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang
Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data? BMVC (2021)
Amin Banitalebi-Dehkordi, Yong Zhang
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples. BMVC (2021)
Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
EBJR: Energy-Based Joint Reasoning for Adaptive Inference. BMVC (2021)
Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang
SimROD: A Simple Adaptation Method for Robust Object Detection. ICCV (2021)
Ehsan Adeli, Xiaorui Li, Dongjin Kwon, Yong Zhang, Kilian M. Pohl
Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 42 (7) (2020)
Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. IEEE Trans. Medical Imaging 38 (12) (2019)
Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap
space super-resolution with application to infant diffusion MRI. Medical Image Anal. 57 (2019)
Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. Frontiers Neuroinformatics 12 (2018)
Elena Bernardis, Yong Zhang, Ender Konukoglu, Yangming Ou, Harold S. Javitz, Leon Axel, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl
eCurves: A Temporal Shape Encoding. IEEE Trans. Biomed. Eng. 65 (4) (2018)
Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap
q-Space Upsampling Using x-q Space Regularization. MICCAI (1) (2017)
Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap
Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. MICCAI (1) (2017)
Zhaosong Lu, Yong Zhang, Jian Lu
\(\ell _p\) Regularized low-rank approximation via iterative reweighted singular value minimization. Comput. Optim. Appl. 68 (3) (2017)
Yong Zhang, Dongjin Kwon, Kilian M. Pohl
Computing group cardinality constraint solutions for logistic regression problems. Medical Image Anal. 35 (2017)
Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen
Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation. MICCAI (3) (2016)
Yong Zhang, Sang Hyun Park, Kilian M. Pohl
Joint Data Harmonization and Group Cardinality Constrained Classification. MICCAI (1) (2016)
Kilian M. Pohl, Edith V. Sullivan, Torsten Rohlfing, Weiwei Chu, Dongjin Kwon, B. Nolan Nichols, Yong Zhang, Sandra A. Brown, Susan F. Tapert, Kevin Cummins, Wesley K. Thompson, Ty Brumback, Ian M. Colrain, Fiona C. Baker, Devin Prouty, Michael D. De Bellis, James T. Voyvodic, Duncan B. Clark, Claudiu V. Schirda, Bonnie J. Nagel, Adolf Pfefferbaum
Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study. NeuroImage 130 (2016)
Pew-Thian Yap, Yong Zhang, Dinggang Shen
Sparse-Group Estimation. IEEE Trans. Image Process. 25 (9) (2016)
Yong Zhang, Kilian M. Pohl
Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis. MICCAI (3) (2015)
Pew-Thian Yap, Yong Zhang, Dinggang Shen
Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization. MICCAI (1) (2015)
Zhaosong Lu, Yong Zhang, Xiaorui Li
Penalty decomposition methods for rank minimization. Optim. Methods Softw. 30 (3) (2015)
Pew-Thian Yap, Yong Zhang, Dinggang Shen
Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties. MICCAI (1) (2015)
Pew-Thian Yap, Yong Zhang, Dinggang Shen
Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification. MICCAI (3) (2015)
Yong Zhang, Bin Dong, Zhaosong Lu
Minimization for wavelet frame based image restoration. Math. Comput. 82 (282) (2013)
Zhaosong Lu, Yong Zhang
Sparse Approximation via Penalty Decomposition Methods. SIAM J. Optim. 23 (4) (2013)
Bin Dong, Yong Zhang
An Efficient Algorithm for ℓ 0 Minimization in Wavelet Frame Based Image Restoration. J. Sci. Comput. 54 (2-3) (2013)
Zhaosong Lu, Yong Zhang
An augmented Lagrangian approach for sparse principal component analysis. Math. Program. 135 (1-2) (2012)
Zhaosong Lu, Ting Kei Pong, Yong Zhang
An alternating direction method for finding Dantzig selectors. Comput. Stat. Data Anal. 56 (12) (2012)
Zhaosong Lu, Yong Zhang
Sparse Approximation via Penalty Decomposition Methods CoRR (2012)
Yong Zhang, Zhaosong Lu
Penalty Decomposition Methods for Rank Minimization. NIPS (2011)
Yong Zhang, Bin Dong, Zhaosong Lu
Minimization for Wavelet Frame Based Image Restoration CoRR (2011)
Zhaosong Lu, Yong Zhang
An Augmented Lagrangian Approach for Sparse Principal Component Analysis CoRR (2009)