Yong Zhang

According to our database, Yong Zhang authored at least 76 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks.

Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang

CoRR, 2024

Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking.

Gursimran Singh, Tianxi Hu, Mohammad Akbari, Qiang Tang, Yong Zhang

CoRR, 2024

DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning.

Yuxi Feng, Raymond Li, Zhenan Fan, Giuseppe Carenini, Mohammadreza Pourreza, Weiwei Zhang, Yong Zhang

CoRR, 2024

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.

Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao

CoRR, 2024

Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process.

Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou

CoRR, 2024

Primary Key Free Watermarking for Numerical Tabular Datasets in Machine Learning.

Xin Che, Mohammad Akbari, Shaoxin Li, David (Ming Xuan) Yue, Yong Zhang, Lingyang Chu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Fair and Efficient Contribution Valuation for Vertical Federated Learning.

Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Human-aligned Evaluation for Linear Programming Word Problems.

Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence.

Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi

IEEE Trans. Autom. Control., August, 2023

ETran: Energy-Based Transferability Estimation.

Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang

CoRR, 2023

Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks.

Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

NFT-Based Data Marketplace with Digital Watermarking.

Saeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Yong Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach.

Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang

IROS, 2023

Smart Initial Basis Selection for Linear Programs.

Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou

Proceedings of the International Conference on Machine Learning, 2023

ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages.

Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application.

Rindra Ramamonjison, Timothy T. L. Yu, Linzi Xing, Mahdi Mostajabdaveh, Xiaorui Li, Xiaojin Fu, Xiongwei Han, Yuanzhe Chen, Ren Li, Kun Mao, Yong Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Extending Momentum Contrast With Cross Similarity Consistency Regularization.

Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

Data pricing in machine learning pipelines.

Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang

Knowl. Inf. Syst., 2022

IPProtect: protecting the intellectual property of visual datasets during data valuation.

Gursimran Singh, Chendi Wang, Ahnaf Tazwar, Lanjun Wang, Yong Zhang

CoRR, 2022

Knowledge-Injected Federated Learning.

Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang

CoRR, 2022

Estimating Visual Information From Audio Through Manifold Learning.

Fabrizio Pedersoli, Dryden Wiebe, Amin Banitalebi, Yong Zhang, Kwang Moo Yi

CoRR, 2022

Revealing Unfair Models by Mining Interpretable Evidence.

Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang

CoRR, 2022

Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning.

Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang

CoRR, 2022

Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning.

Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang

CoRR, 2022

Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation.

Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei, Yong Zhang

CoRR, 2022

Fair and efficient contribution valuation for vertical federated learning.

Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang

CoRR, 2022

Mining Minority-Class Examples with Uncertainty Estimates.

Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang

Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch.

Tianyu Zhang, Amin Banitalebi-Dehkordi, Yong Zhang

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Improving Fairness for Data Valuation in Horizontal Federated Learning.

Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions.

Rindra Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding.

Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data.

Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models.

Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Cosine Model Watermarking against Ensemble Distillation.

Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data.

Amin Banitalebi-Dehkordi, Yong Zhang

CoRR, 2021

Improving Fairness for Data Valuation in Federated Learning.

Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang

CoRR, 2021

Achieving Model Fairness in Vertical Federated Learning.

Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang

CoRR, 2021

FedFair: Training Fair Models In Cross-Silo Federated Learning.

Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang

CoRR, 2021

An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud.

Liang Hu, Jiangcheng Zhu, Zirui Zhou, Ruiqing Cheng, Xiaolong Bai, Yong Zhang

CoRR, 2021

NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

Robust Counterfactual Explanations on Graph Neural Networks.

Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Fair Federated Learning.

Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Auto-Split: A General Framework of Collaborative Edge-Cloud AI.

Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Network-wide Traffic Signal Optimization under Connected Vehicles Environment.

Liang Hu, Lanjun Wang, Zirui Zhou, Zhenli Sheng, Yong Zhang

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Stealthy Targeted Data Poisoning Attack on Knowledge Graphs.

Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SimROD: A Simple Adaptation Method for Robust Object Detection.

Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Finding Representative Interpretations on Convolutional Neural Networks.

Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?

Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples.

Amin Banitalebi-Dehkordi, Yong Zhang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

EBJR: Energy-Based Joint Reasoning for Adaptive Inference.

Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Personalized Cross-Silo Federated Learning on Non-IID Data.

Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection.

Ehsan Adeli, Xiaorui Li, Dongjin Kwon, Yong Zhang, Kilian M. Pohl

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Personalized Federated Learning: An Attentive Collaboration Approach.

Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

CoRR, 2020

2019

Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space.

Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap

IEEE Trans. Medical Imaging, 2019

XQ-SR: Joint <i>x</i>-<i>q</i> space super-resolution with application to infant diffusion MRI.

Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap

Medical Image Anal., 2019

2018

eCurves: A Temporal Shape Encoding.

Elena Bernardis, Yong Zhang, Ender Konukoglu, Yangming Ou, Harold S. Javitz, Leon Axel, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl

IEEE Trans. Biomed. Eng., 2018

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space.

Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap

Frontiers Neuroinformatics, 2018

2017

Computing group cardinality constraint solutions for logistic regression problems.

Yong Zhang, Dongjin Kwon, Kilian M. Pohl

Medical Image Anal., 2017

\(\ell _p\) Regularized low-rank approximation via iterative reweighted singular value minimization.

Zhaosong Lu, Yong Zhang, Jian Lu

Comput. Optim. Appl., 2017

Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI.

Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

q-Space Upsampling Using x-q Space Regularization.

Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Multi-Tissue Decomposition of Diffusion MRI Signals via ℓ₀ Sparse-Group Estimation.

Pew-Thian Yap, Yong Zhang, Dinggang Shen

IEEE Trans. Image Process., 2016

Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study.

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

NeuroImage, 2016

Joint Data Harmonization and Group Cardinality Constrained Classification.

Yong Zhang, Sang Hyun Park, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation.

Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Penalty decomposition methods for rank minimization.

Zhaosong Lu, Yong Zhang, Xiaorui Li

Optim. Methods Softw., 2015

Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis.

Yong Zhang, Kilian M. Pohl

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification.

Pew-Thian Yap, Yong Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties.

Pew-Thian Yap, Yong Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization.

Pew-Thian Yap, Yong Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2013

Sparse Approximation via Penalty Decomposition Methods.

Zhaosong Lu, Yong Zhang

SIAM J. Optim., 2013

ℓ₀ Minimization for wavelet frame based image restoration.

Yong Zhang, Bin Dong, Zhaosong Lu

Math. Comput., 2013

An Efficient Algorithm for ℓ 0 Minimization in Wavelet Frame Based Image Restoration.

Bin Dong, Yong Zhang

J. Sci. Comput., 2013

2012

An augmented Lagrangian approach for sparse principal component analysis.

Zhaosong Lu, Yong Zhang

Math. Program., 2012

An alternating direction method for finding Dantzig selectors.

Zhaosong Lu, Ting Kei Pong, Yong Zhang

Comput. Stat. Data Anal., 2012

2011

Penalty Decomposition Methods for Rank Minimization.

Yong Zhang, Zhaosong Lu

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011