default search action
Yong Zhang 0004
Person information
- affiliation: Huawei Technologies Canada, Vancouver Research Center, Burnaby, Canada
- affiliation: Colin Artificial Intelligence Laboratory, Richmond, Canada
- affiliation (2014 - 2016): Stanford University, Department of Psychiatry, Stanford, CA, USA
- affiliation (PhD 2014): Simon Fraser University, Department of Mathematics, Burnaby, Canada
Other persons with the same name
- Yong Zhang — disambiguation page
- Yong Zhang 0001
— Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China (and 2 more)
- Yong Zhang 0002
- Yong Zhang 0003
- Yong Zhang 0005
- Yong Zhang 0006
- Yong Zhang 0007
- Yong Zhang 0008
- Yong Zhang 0009
- Yong Zhang 0010
- Yong Zhang 0011
- Yong Zhang 0012
- Yong Zhang 0013
- Yong Zhang 0014
- Yong Zhang 0015
- Yong Zhang 0016
- Yong Zhang 0017 — Youngstown State University, Department of Computer Science and Information Systems, Youngstown, OH, USA (and 1 more)
- Yong Zhang 0018
- Yong Zhang 0019
- Yong Zhang 0020
- Yong Zhang 0021
- Yong Zhang 0022
- Yong Zhang 0023
- Yong Zhang 0024
- Yong Zhang 0025
- Yong Zhang 0026
- Yong Zhang 0027
- Yong Zhang 0028
- Yong Zhang 0029
- Yong Zhang 0030
- Yong Zhang 0031
- Yong Zhang 0032
- Yong Zhang 0033 — Shanghai University of Finance and Economics, Department of Computer Science and Technology, Shanghai, China (and 1 more)
- Yong Zhang 0034
- Yong Zhang 0035 — Shanghai Jiao Tong University, Department of Electronic Engineering, State Key Lab of Advanced Optical Communication Systems and Networks, Shanghai, China
- Yong Zhang 0036
- Yong Zhang 0037
- Yong Zhang 0038
- Yong Zhang 0039
- Yong Zhang 0040
- Yong Zhang 0041
- Yong Zhang 0042
- Yong Zhang 0043
- Yong Zhang 0044
- Yong Zhang 0045
- Yong Zhang 0046 — Georgia Institute of Technology, School of Aerospace Engineering, Atlanta, GA, USA (and 2 more)
- Yong Zhang 0047 — Peking University, Department of Mechanics and Engineering Science, State Key Lab for Turbulence and Complex Systems, Beijing, China (and 1 more)
- Yong Zhang 0048 — University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China
- Yong Zhang 0049 — Cadence Design Systems, San Jose, CA, USA (and 1 more)
- Yong Zhang 0050 — IBM Almaden Research Center, Healthcare Informatics, San Jose, CA, USA (and 3 more)
- Yong Zhang 0051 — Shandong University, School of Computer Science and Technology, Jinan, China
- Yong Zhang 0052
- Yong Zhang 0053 — Kutztown University of Pennsylvania, Department of Computer Science, Kutztown, PA, USA (and 2 more)
- Yong Zhang 0054 — University of Huddersfield, Department of Engineering & Technology, Huddersfield, UK
- Yong Zhang 0055 — Nankai University, Department of Electronic Science and Technology, Tianjin, China,
- Yong Zhang 0056
- Yong Zhang 0057
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c37]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: 16550-16556 - [c36]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 - [i43]Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou:
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process. CoRR abs/2401.03244 (2024) - [i42]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:
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR abs/2401.05960 (2024) - [i41]Yuxi Feng, Raymond Li, Zhenan Fan, Giuseppe Carenini, Mohammadreza Pourreza, Weiwei Zhang, Yong Zhang:
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning. CoRR abs/2406.07913 (2024) - [i40]Gursimran Singh, Tianxi Hu, Mohammad Akbari, Qiang Tang, Yong Zhang:
Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking. CoRR abs/2409.00314 (2024) - [i39]Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang:
Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks. CoRR abs/2409.06559 (2024) - 2023
- [j18]Changxin Liu, Zirui Zhou, Jian Pei
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence. IEEE Trans. Autom. Control. 68(8): 4650-4665 (2023) - [c35]Rindra Ramamonjison, Timothy T. L. Yu, Linzi Xing, Mahdi Mostajabdaveh, Xiaorui Li, Xiaojin Fu, Xiongwei Han, Yuanzhe Chen, Ren Li, Kun Mao, Yong Zhang:
LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application. ACL (demo) 2023: 471-478 - [c34]Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang:
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoNLL 2023: 87-107 - [c33]Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou:
Smart Initial Basis Selection for Linear Programs. ICML 2023: 9650-9664 - [c32]Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang:
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach. IROS 2023: 7348-7353 - [c31]Saeed Ranjbar Alvar
NFT-Based Data Marketplace with Digital Watermarking. KDD 2023: 4756-4767 - [c30]Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. ECML/PKDD (4) 2023: 268-283 - [i38]Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. CoRR abs/2303.08233 (2023) - [i37]Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang:
ETran: Energy-Based Transferability Estimation. CoRR abs/2308.02027 (2023) - [i36]Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang:
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoRR abs/2310.17737 (2023) - [i35]Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. CoRR abs/2311.13843 (2023) - 2022
- [j17]Zicun Cong, Xuan Luo, Jian Pei
Data pricing in machine learning pipelines. Knowl. Inf. Syst. 64(6): 1417-1455 (2022) - [j16]Mehdi Seyfi
Extending Momentum Contrast With Cross Similarity Consistency Regularization. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6714-6727 (2022) - [c29]Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang:
Cosine Model Watermarking against Ensemble Distillation. AAAI 2022: 9512-9520 - [c28]Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang:
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. ACL (1) 2022: 5229-5244 - [c27]Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang:
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. CVPR Workshops 2022: 3998-4005 - [c26]Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang:
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. ECCV (36) 2022: 610-626 - [c25]Rindra Ramamonjison, Haley Li, Timothy T. L. 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: 29-62 - [c24]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei
Improving Fairness for Data Valuation in Horizontal Federated Learning. ICDE 2022: 2440-2453 - [c23]Tianyu Zhang
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch. ICPR 2022: 3105-3111 - [c22]Gursimran Singh, Lingyang Chu, Lanjun Wang
Mining Minority-Class Examples with Uncertainty Estimates. MMM (1) 2022: 258-271 - [i34]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang:
Fair and efficient contribution valuation for vertical federated learning. CoRR abs/2201.02658 (2022) - [i33]Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang:
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. CoRR abs/2203.00748 (2022) - [i32]Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang:
Cosine Model Watermarking Against Ensemble Distillation. CoRR abs/2203.02777 (2022) - [i31]Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei, Yong Zhang:
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation. CoRR abs/2203.05212 (2022) - [i30]Xubo Lyu
Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning. CoRR abs/2203.15925 (2022) - [i29]Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang:
Extending Momentum Contrast with Cross Similarity Consistency Regularization. CoRR abs/2206.04676 (2022) - [i28]Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang:
Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning. CoRR abs/2206.05028 (2022) - [i27]Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang:
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. CoRR abs/2206.06959 (2022) - [i26]Tianyu Zhang
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch. CoRR abs/2206.06965 (2022) - [i25]Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang:
Revealing Unfair Models by Mining Interpretable Evidence. CoRR abs/2207.05811 (2022) - [i24]Fabrizio Pedersoli, Dryden Wiebe, Amin Banitalebi, Yong Zhang, Kwang Moo Yi:
Estimating Visual Information From Audio Through Manifold Learning. CoRR abs/2208.02337 (2022) - [i23]Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang:
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. CoRR abs/2208.07407 (2022) - [i22]Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang:
Knowledge-Injected Federated Learning. CoRR abs/2208.07530 (2022) - [i21]Rindranirina Ramamonjison, Haley Li, Timothy T. L. 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 abs/2209.15565 (2022) - [i20]Gursimran Singh, Chendi Wang, Ahnaf Tazwar, Lanjun Wang, Yong Zhang:
IPProtect: protecting the intellectual property of visual datasets during data valuation. CoRR abs/2212.11468 (2022) - 2021
- [c21]Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang:
Personalized Cross-Silo Federated Learning on Non-IID Data. AAAI 2021: 7865-7873 - [c20]Amin Banitalebi-Dehkordi, Yong Zhang:
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples. BMVC 2021: 122 - [c19]Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang:
EBJR: Energy-Based Joint Reasoning for Adaptive Inference. BMVC 2021: 157 - [c18]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: 263 - [c17]Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei
Finding Representative Interpretations on Convolutional Neural Networks. ICCV 2021: 1325-1334 - [c16]Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang:
SimROD: A Simple Adaptation Method for Robust Object Detection. ICCV 2021: 3550-3559 - [c15]Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang
Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. ICDE 2021: 2069-2074 - [c14]Liang Hu, Lanjun Wang
Network-wide Traffic Signal Optimization under Connected Vehicles Environment. ITSC 2021: 2463-2470 - [c13]Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. KDD 2021: 2543-2553 - [c12]Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang
Towards Fair Federated Learning. KDD 2021: 4100-4101 - [c11]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: 189-203 - [c10]Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang:
Robust Counterfactual Explanations on Graph Neural Networks. NeurIPS 2021: 5644-5655 - [i19]Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi:
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence. CoRR abs/2106.14075 (2021) - [i18]Mohit Bajaj, Lingyang Chu, Zi Yu Xue
Robust Counterfactual Explanations on Graph Neural Networks. CoRR abs/2107.04086 (2021) - [i17]Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang:
SimROD: A Simple Adaptation Method for Robust Object Detection. CoRR abs/2107.13389 (2021) - [i16]Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang:
Finding Representative Interpretations on Convolutional Neural Networks. CoRR abs/2108.06384 (2021) - [i15]Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang:
Data Pricing in Machine Learning Pipelines. CoRR abs/2108.07915 (2021) - [i14]Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang:
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. CoRR abs/2108.13041 (2021) - [i13]Liang Hu, Jiangcheng Zhu, Zirui Zhou, Ruiqing Cheng, Xiaolong Bai, Yong Zhang:
An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud. CoRR abs/2109.03389 (2021) - [i12]Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang:
FedFair: Training Fair Models In Cross-Silo Federated Learning. CoRR abs/2109.05662 (2021) - [i11]Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang:
Achieving Model Fairness in Vertical Federated Learning. CoRR abs/2109.08344 (2021) - [i10]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang:
Improving Fairness for Data Valuation in Federated Learning. CoRR abs/2109.09046 (2021) - [i9]Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang:
EBJR: Energy-Based Joint Reasoning for Adaptive Inference. CoRR abs/2110.10343 (2021) - [i8]Amin Banitalebi-Dehkordi, Yong Zhang:
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples. CoRR abs/2110.10366 (2021) - [i7]Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang:
Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data? CoRR abs/2110.10369 (2021) - [i6]Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang:
Mining Minority-class Examples With Uncertainty Estimates. CoRR abs/2112.07835 (2021) - [i5]Amin Banitalebi-Dehkordi, Yong Zhang:
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. CoRR abs/2112.12251 (2021) - 2020
- [j15]Ehsan Adeli
Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1713-1728 (2020) - [i4]Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang:
Personalized Federated Learning: An Attentive Collaboration Approach. CoRR abs/2007.03797 (2020)
2010 – 2019
- 2019
- [j14]Geng Chen
XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. Medical Image Anal. 57: 44-55 (2019) - [j13]Geng Chen
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. IEEE Trans. Medical Imaging 38(12): 2838-2848 (2019) - 2018
- [j12]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: 57 (2018) - [j11]Elena Bernardis, Yong Zhang, Ender Konukoglu, Yangming Ou
eCurves: A Temporal Shape Encoding. IEEE Trans. Biomed. Eng. 65(4): 733-744 (2018) - 2017
- [j10]Zhaosong Lu
\(\ell _p\) Regularized low-rank approximation via iterative reweighted singular value minimization. Comput. Optim. Appl. 68(3): 619-642 (2017) - [j9]Yong Zhang
Computing group cardinality constraint solutions for logistic regression problems. Medical Image Anal. 35: 58-69 (2017) - [c9]Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
q-Space Upsampling Using x-q Space Regularization. MICCAI (1) 2017: 620-628 - [c8]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: 629-637 - 2016
- [j8]Kilian M. Pohl
Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study. NeuroImage 130: 194-213 (2016) - [j7]Pew-Thian Yap
Multi-Tissue Decomposition of Diffusion MRI Signals via ℓ0 Sparse-Group Estimation. IEEE Trans. Image Process. 25(9): 4340-4353 (2016) - [c7]Yong Zhang, Sang Hyun Park, Kilian M. Pohl:
Joint Data Harmonization and Group Cardinality Constrained Classification. MICCAI (1) 2016: 282-290 - [c6]Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen:
Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation. MICCAI (3) 2016: 561-569 - 2015
- [j6]Zhaosong Lu
Penalty decomposition methods for rank minimization. Optim. Methods Softw. 30(3): 531-558 (2015) - [c5]Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification. MICCAI (3) 2015: 132-139 - [c4]Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization. MICCAI (1) 2015: 183-190 - [c3]Pew-Thian Yap, Yong Zhang, Dinggang Shen:
Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties. MICCAI (1) 2015: 223-230 - [c2]Yong Zhang, Kilian M. Pohl:
Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis. MICCAI (3) 2015: 459-466 - 2013
- [j5]Bin Dong, Yong Zhang:
An Efficient Algorithm for ℓ 0 Minimization in Wavelet Frame Based Image Restoration. J. Sci. Comput. 54(2-3): 350-368 (2013) - [j4]Yong Zhang, Bin Dong, Zhaosong Lu
ℓ0 Minimization for wavelet frame based image restoration. Math. Comput. 82(282): 995-1015 (2013) - [j3]Zhaosong Lu
Sparse Approximation via Penalty Decomposition Methods. SIAM J. Optim. 23(4): 2448-2478 (2013) - 2012
- [j2]Zhaosong Lu
An alternating direction method for finding Dantzig selectors. Comput. Stat. Data Anal. 56(12): 4037-4046 (2012) - [j1]Zhaosong Lu
An augmented Lagrangian approach for sparse principal component analysis. Math. Program. 135(1-2): 149-193 (2012) - [i3]Zhaosong Lu, Yong Zhang:
Sparse Approximation via Penalty Decomposition Methods. CoRR abs/1205.2334 (2012) - 2011
- [c1]Yong Zhang, Zhaosong Lu:
Penalty Decomposition Methods for Rank Minimization. NIPS 2011: 46-54 - [i2]Yong Zhang, Bin Dong, Zhaosong Lu:
ℓ0 Minimization for Wavelet Frame Based Image Restoration. CoRR abs/1105.2782 (2011)
2000 – 2009
- 2009
- [i1]Zhaosong Lu, Yong Zhang:
An Augmented Lagrangian Approach for Sparse Principal Component Analysis. CoRR abs/0907.2079 (2009)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-21 21:23 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: