Penalty Decomposition Methods for Rank Minimization. - Yong Zhang 004; Zhaosong Lu (NIPS, 2011)

An alternating direction method for finding Dantzig selectors. - Zhaosong Lu; Ting Kei Pong; Yong Zhang 004 (Comput. Stat. Data Anal., 2012)

An augmented Lagrangian approach for sparse principal component analysis. - Zhaosong Lu; Yong Zhang 004 (Math. Program., 2012)

An Efficient Algorithm for ℓ 0 Minimization in Wavelet Frame Based Image Restoration. - Bin Dong 001; Yong Zhang 004 (J. Sci. Comput., 2013)

ℓ0 Minimization for wavelet frame based image restoration. - Yong Zhang 004; Bin Dong 001; Zhaosong Lu (Math. Comput., 2013)

Sparse Approximation via Penalty Decomposition Methods. - Zhaosong Lu; Yong Zhang 004 (SIAM J. Optim., 2013)

Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization. - Pew-Thian Yap; Yong Zhang 004; Dinggang Shen (MICCAI (1), 2015)

Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties. - Pew-Thian Yap; Yong Zhang 004; Dinggang Shen (MICCAI (1), 2015)

Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification. - Pew-Thian Yap; Yong Zhang 004; Dinggang Shen (MICCAI (3), 2015)

Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis. - Yong Zhang 004; Kilian M. Pohl (MICCAI (3), 2015)

Penalty decomposition methods for rank minimization. - Zhaosong Lu; Yong Zhang 004; Xiaorui Li (Optim. Methods Softw., 2015)

Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation. - Pew-Thian Yap; Bin Dong 001; Yong Zhang 004; Dinggang Shen (MICCAI (3), 2016)

Joint Data Harmonization and Group Cardinality Constrained Classification. - Yong Zhang 004; Sang Hyun Park 004; Kilian M. Pohl (MICCAI (1), 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 004; Sandra A. Brown; Susan F. Tapert; Kevin Cummins; Wesley K. Thompson; Ty Brumback; et al. (NeuroImage, 2016)

Multi-Tissue Decomposition of Diffusion MRI Signals via ℓ0 Sparse-Group Estimation. - Pew-Thian Yap; Yong Zhang 004; Dinggang Shen (IEEE Trans. Image Process., 2016)

q-Space Upsampling Using x-q Space Regularization. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Dinggang Shen; Pew-Thian Yap (MICCAI (1), 2017)

Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Dinggang Shen; Pew-Thian Yap (MICCAI (1), 2017)

( ell _p ) Regularized low-rank approximation via iterative reweighted singular value minimization. - Zhaosong Lu; Yong Zhang 004; Jian Lu 002 (Comput. Optim. Appl., 2017)

Computing group cardinality constraint solutions for logistic regression problems. - Yong Zhang 004; Dongjin Kwon; Kilian M. Pohl (Medical Image Anal., 2017)

Qualitative Study of a 4D Chaos Financial System. - Fuchen Zhang; Gaoxiang Yang; Yong Zhang 004; Xiaofeng Liao 001; Guangyun Zhang (Complex., 2018)

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (Frontiers Neuroinformatics, 2018)

eCurves: A Temporal Shape Encoding. - Elena Bernardis; Yong Zhang 004; Ender Konukoglu; Yangming Ou; Harold S. Javitz; Leon Axel; Dimitris N. Metaxas; Benoit Desjardins; Kilian M. Pohl (IEEE Trans. Biomed. Eng., 2018)

XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2019)

Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2019)

Personalized Federated Learning: An Attentive Collaboration Approach. - Yutao Huang; Lingyang Chu; Zirui Zhou; Lanjun Wang; Jiangchuan Liu; Jian Pei 001; Yong Zhang 004 (CoRR, 2020)

Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection. - Ehsan Adeli 001; Xiaorui Li; Dongjin Kwon; Yong Zhang 004; Kilian M. Pohl (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Personalized Cross-Silo Federated Learning on Non-IID Data. - Yutao Huang; Lingyang Chu; Zirui Zhou; Lanjun Wang; Jiangchuan Liu; Jian Pei 001; Yong Zhang 004 (AAAI, 2021)

EBJR: Energy-Based Joint Reasoning for Adaptive Inference. - Mohammad Akbari; Amin Banitalebi-Dehkordi; Yong Zhang 004 (BMVC, 2021)

Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples. - Amin Banitalebi-Dehkordi; Yong Zhang 004 (BMVC, 2021)

Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data? - Amin Banitalebi-Dehkordi; Xinyu Kang; Yong Zhang 004 (BMVC, 2021)

Finding Representative Interpretations on Convolutional Neural Networks. - Peter Cho-Ho Lam; Lingyang Chu; Maxim Torgonskiy; Jian Pei 001; Yong Zhang 004; Lanjun Wang (ICCV, 2021)

SimROD: A Simple Adaptation Method for Robust Object Detection. - Rindra Ramamonjison; Amin Banitalebi-Dehkordi; Xinyu Kang; Xiaolong Bai; Yong Zhang 004 (ICCV, 2021)

Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. - Prithu Banerjee; Lingyang Chu; Yong Zhang 004; Laks V. S. Lakshmanan; Lanjun Wang (ICDE, 2021)

Network-wide Traffic Signal Optimization under Connected Vehicles Environment. - Liang Hu; Lanjun Wang; Zirui Zhou; Zhenli Sheng; Yong Zhang 004 (ITSC, 2021)

Auto-Split: A General Framework of Collaborative Edge-Cloud AI. - Amin Banitalebi-Dehkordi; Naveen Vedula; Jian Pei 001; Fei Xia; Lanjun Wang; Yong Zhang 004 (KDD, 2021)

Towards Fair Federated Learning. - Zirui Zhou; Lingyang Chu; Changxin Liu 001; Lanjun Wang; Jian Pei 001; Yong Zhang 004 (KDD, 2021)

Robust Counterfactual Explanations on Graph Neural Networks. - Mohit Bajaj; Lingyang Chu; Zi Yu Xue; Jian Pei 001; Lanjun Wang; Peter Cho-Ho Lam; Yong Zhang 004 (NeurIPS, 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 004 (NeurIPS (Competition and Demos), 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 004 (CoRR, 2021)

FedFair: Training Fair Models In Cross-Silo Federated Learning. - Lingyang Chu; Lanjun Wang; Yanjie Dong; Jian Pei 001; Zirui Zhou; Yong Zhang 004 (CoRR, 2021)

Achieving Model Fairness in Vertical Federated Learning. - Changxin Liu 001; Zirui Zhou; Yang Shi 001; Jian Pei 001; Lingyang Chu; Yong Zhang 004 (CoRR, 2021)

Improving Fairness for Data Valuation in Federated Learning. - Zhenan Fan; Huang Fang; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Changxin Liu 001; Yong Zhang 004 (CoRR, 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 004 (CoRR, 2021)

Cosine Model Watermarking against Ensemble Distillation. - Laurent Charette; Lingyang Chu; Yizhou Chen; Jian Pei 001; Lanjun Wang; Yong Zhang 004 (AAAI, 2022)

E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. - Mohammad Akbari; Amin Banitalebi-Dehkordi; Yong Zhang 004 (ACL (1), 2022)

AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. - Amin Banitalebi-Dehkordi; Pratik Gujjar; Yong Zhang 004 (CVPR Workshops, 2022)

SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. - Morgan Heisler; Amin Banitalebi-Dehkordi; Yong Zhang 004 (ECCV (36), 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 004 (EMNLP (Industry Track), 2022)

Improving Fairness for Data Valuation in Horizontal Federated Learning. - Zhenan Fan; Huang Fang; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Changxin Liu 001; Yong Zhang 004 (ICDE, 2022)

Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch. - Tianyu Zhang 003; Amin Banitalebi-Dehkordi; Yong Zhang 004 (ICPR, 2022)

Mining Minority-Class Examples with Uncertainty Estimates. - Gursimran Singh; Lingyang Chu; Lanjun Wang; Jian Pei 001; Qi Tian; Yong Zhang 004 (MMM (1), 2022)

Fair and efficient contribution valuation for vertical federated learning. - Zhenan Fan; Huang Fang; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Yong Zhang 004 (CoRR, 2022)

Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation. - Saeed Ranjbar Alvar; Lanjun Wang; Jian Pei 001; Yong Zhang 004 (CoRR, 2022)

Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning. - Xubo Lyu; Amin Banitalebi-Dehkordi; Mo Chen 001; Yong Zhang 004 (CoRR, 2022)

Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning. - Mehdi Seyfi; Amin Banitalebi-Dehkordi; Yong Zhang 004 (CoRR, 2022)

Revealing Unfair Models by Mining Interpretable Evidence. - Mohit Bajaj; Lingyang Chu; Vittorio Romaniello; Gursimran Singh; Jian Pei 001; Zirui Zhou; Lanjun Wang; Yong Zhang 004 (CoRR, 2022)

Estimating Visual Information From Audio Through Manifold Learning. - Fabrizio Pedersoli; Dryden Wiebe; Amin Banitalebi; Yong Zhang 004; Kwang Moo Yi (CoRR, 2022)

Knowledge-Injected Federated Learning. - Zhenan Fan; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Jiajie Hu; Chengliang Li; Yong Zhang 004 (CoRR, 2022)

IPProtect: protecting the intellectual property of visual datasets during data valuation. - Gursimran Singh; Chendi Wang; Ahnaf Tazwar; Lanjun Wang; Yong Zhang 004 (CoRR, 2022)

Data pricing in machine learning pipelines. - Zicun Cong; Xuan Luo; Jian Pei 001; Feida Zhu 001; Yong Zhang 004 (Knowl. Inf. Syst., 2022)

Extending Momentum Contrast With Cross Similarity Consistency Regularization. - Mehdi Seyfi; Amin Banitalebi-Dehkordi; Yong Zhang 004 (IEEE Trans. Circuits Syst. Video Technol., 2022)

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 001; Yong Zhang 004 (ACL (demo), 2023)

ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. - Mohammad Akbari; Saeed Ranjbar Alvar; Behnam Kamranian; Amin Banitalebi-Dehkordi; Yong Zhang 004 (CoNLL, 2023)

ETran: Energy-Based Transferability Estimation. - Mohsen Gholami; Mohammad Akbari; Xinglu Wang; Behnam Kamranian; Yong Zhang 004 (ICCV, 2023)

Smart Initial Basis Selection for Linear Programs. - Zhenan Fan; Xinglu Wang; Oleksandr Yakovenko; Abdullah Ali Sivas; Owen Ren; Yong Zhang 004; Zirui Zhou (ICML, 2023)

Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach. - Xubo Lyu; Amin Banitalebi-Dehkordi; Mo Chen 001; Yong Zhang 004 (IROS, 2023)

NFT-Based Data Marketplace with Digital Watermarking. - Saeed Ranjbar Alvar; Mohammad Akbari; David (Ming Xuan) Yue; Yong Zhang 004 (KDD, 2023)

Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. - Mehdi Seyfi; Amin Banitalebi-Dehkordi; Zirui Zhou; Yong Zhang 004 (ECML/PKDD (4), 2023)

Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence. - Changxin Liu 001; Zirui Zhou; Jian Pei 001; Yong Zhang 004; Yang Shi 001 (IEEE Trans. Autom. Control., 2023)

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 004 (LREC/COLING, 2024)

Cocktail Universal Adversarial Attack on Deep Neural Networks. - Shaoxin Li 002; Xiaofeng Liao 001; Xin Che; Xintong Li; Yong Zhang 004; Lingyang Chu (ECCV (65), 2024)

LaWa: Using Latent Space for In-Generation Image Watermarking. - Ahmad Rezaei; Mohammad Akbari; Saeed Ranjbar Alvar; Arezou Fatemi; Yong Zhang 004 (ECCV (89), 2024)

Fair and Efficient Contribution Valuation for Vertical Federated Learning. - Zhenan Fan; Huang Fang; Xinglu Wang; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Yong Zhang 004 (ICLR, 2024)

Primary Key Free Watermarking for Numerical Tabular Datasets in Machine Learning. - Xin Che; Mohammad Akbari; Shaoxin Li 002; David (Ming Xuan) Yue; Yong Zhang 004; Lingyang Chu (ICPR (31), 2024)

GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation. - Mohsen Gholami; Mohammad Akbari; Tianxi Hu; Vaden Masrani; Z. Wang; Yong Zhang 004 (NAACL-HLT (Findings), 2024)

Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process. - Zhenan Fan; Bissan Ghaddar; Xinglu Wang; Linzi Xing; Yong Zhang 004; Zirui Zhou (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 197; et al. (CoRR, 2024)

GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation. - Mohsen Gholami; Mohammad Akbari; Cindy Hu; Vaden Masrani; Z. Jane Wang 001; Yong Zhang 004 (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 004 (CoRR, 2024)

Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers. - Vaden Masrani; Mohammad Akbari; David Ming Xuan Yue; Ahmad Rezaei; Yong Zhang 004 (CoRR, 2024)

Evaluating LLM Reasoning in the Operations Research Domain with ORQA. - Mahdi Mostajabdaveh; Timothy T. Yu; Samarendra Chandan Bindu Dash; Rindranirina Ramamonjison; Jabo Serge Byusa; Giuseppe Carenini; Zirui Zhou; Yong Zhang 004 (CoRR, 2024)

Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework. - Mahdi Mostajabdaveh; Timothy T. L. Yu; Rindranirina Ramamonjison; Giuseppe Carenini; Zirui Zhou; Yong Zhang 004 (INFOR Inf. Syst. Oper. Res., 2024)

Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks. - Arnaud Deza; Elias B. Khalil; Zhenan Fan; Zirui Zhou; Yong Zhang 004 (AAAI, 2025)

Evaluating LLM Reasoning in the Operations Research Domain with ORQA. - Mahdi Mostajabdaveh; Timothy Tin Long Yu; Samarendra Chandan Bindu Dash; Rindra Ramamonjison; Jabo Serge Byusa; Giuseppe Carenini; Zirui Zhou; Yong Zhang 004 (AAAI, 2025)

Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking. - Gursimran Singh; Tianxi Hu; Mohammad Akbari; Qiang Tang 002; Yong Zhang 004 (WACV, 2025)

Efficiently serving large multimedia models using EPD Disaggregation. - Gursimran Singh; Xinglu Wang; Ivan Hu; Timothy Yu; Linzi Xing; Wei Jiang; Zhefeng Wang; Xiaolong Bai; Yi Li; Ying Xiong; Yong Zhang 004; Zhenan Fan (CoRR, 2025)

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models. - Saeed Ranjbar Alvar; Gursimran Singh; Mohammad Akbari; Yong Zhang 004 (CoRR, 2025)

CASP: Compression of Large Multimodal Models Based on Attention Sparsity. - Mohsen Gholami; Mohammad Akbari; Kevin Cannons; Yong Zhang 004 (CoRR, 2025)

Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs. - Morgan Lindsay Heisler; Linzi Xing; Ge Shi; Hanieh Sadri; Gursimran Singh; Weiwei Zhang; Tao Ye; Ying Xiong; Yong Zhang 004; Zhenan Fan (CoRR, 2025)

SMARTAPS: Tool-augmented LLMs for Operations Management. - Timothy Tin Long Yu; Mahdi Mostajabdaveh; Jabo Serge Byusa; Rindra Ramamonjison; Giuseppe Carenini; Kun Mao 001; Zirui Zhou; Yong Zhang 004 (CoRR, 2025)