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ORCIDJunhong Lin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j22]Yusu Hong, Junhong Lin:
High probability bounds on AdaGrad for constrained weakly convex optimization. J. Complex. 86: 101889 (2025)- 2024
- [j21]Hang Xu, Song Li, Junhong Lin:
Convergence of projected subgradient method with sparse or low-rank constraints. Adv. Comput. Math. 50(4): 62 (2024) - [c8]Junhong Lin
, Xiaojie Guo, Yada Zhu, Samuel Mitchell, Erik Altman, Julian Shun:
FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection. ICAIF 2024: 292-300 - [i22]Hang Xu, Song Li, Junhong Lin:
Nonconvex Deterministic Matrix Completion by Projected Gradient Descent Methods. CoRR abs/2401.06592 (2024) - [i21]Yusu Hong, Junhong Lin:
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions. CoRR abs/2402.03982 (2024) - [i20]Tan Sun, Junhong Lin:
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network. CoRR abs/2402.04038 (2024) - [i19]Jing Su, Chufeng Jiang, Xin Jin, Yuxin Qiao, Tingsong Xiao, Hongda Ma, Rong Wei, Zhi Jing, Jiajun Xu, Junhong Lin:
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review. CoRR abs/2402.10350 (2024) - [i18]Yusu Hong, Junhong Lin:
Revisiting Convergence of AdaGrad with Relaxed Assumptions. CoRR abs/2402.13794 (2024) - [i17]Shufan Pei, Junhong Lin, Wenxi Liu, Tiesong Zhao, Chia-Wen Lin:
Beyond Night Visibility: Adaptive Multi-Scale Fusion of Infrared and Visible Images. CoRR abs/2403.01083 (2024) - [i16]Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun:
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods. CoRR abs/2407.10916 (2024) - [i15]Yuxin Qiao, Keqin Li, Junhong Lin, Rong Wei, Chufeng Jiang, Yang Luo, Haoyu Yang:
Robust Domain Generalization for Multi-modal Object Recognition. CoRR abs/2408.05831 (2024) - 2023
- [j20]Nanfeng Jiang, Jiawei Luo, Junhong Lin, Weiling Chen, Tiesong Zhao:
Lightweight Semi-supervised Network for Single Image Rain Removal. Pattern Recognit. 137: 109277 (2023) - [j19]Nanfeng Jiang, Junhong Lin, Ting Zhang, Haifeng Zheng, Tiesong Zhao:
Low-Light Image Enhancement via Stage-Transformer-Guided Network. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3701-3712 (2023) - [j18]Junhong Lin, Nanfeng Jiang, Zhentao Zhang, Weiling Chen, Tiesong Zhao:
LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removal. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6225-6235 (2023) - [c7]Marcel Reimann, Jungeun Won, Hiroyuki Takahashi, Antonio Yaghy, Yunchan Hwang, Stefan B. Ploner, Junhong Lin, Jessica Girgis, Kenneth Lam, Siyu Chen, Nadia K. Waheed, Andreas K. Maier, James G. Fujimoto:
Unsupervised detection of Small Hyperreflective Features in Ultrahigh Resolution Optical Coherence Tomography. Bildverarbeitung für die Medizin 2023: 232-237 - [c6]Junhong Lin, Shufan Pei, Bing Chen, Nanfeng Jiang, Wei Gao, Tiesong Zhao:
LDRM: Degradation Rectify Model for Low-light Imaging via Color-Monochrome Cameras. ACM Multimedia 2023: 8406-8414 - [i14]Marcel Reimann, Jungeun Won, Hiroyuki Takahashi, Antonio Yaghy, Yunchan Hwang, Stefan B. Ploner, Junhong Lin, Jessica Girgis, Kenneth Lam, Siyu Chen, Nadia K. Waheed, Andreas K. Maier, James G. Fujimoto:
Unsupervised detection of small hyperreflective features in ultrahigh resolution optical coherence tomography. CoRR abs/2303.14711 (2023) - [i13]Yusu Hong, Junhong Lin:
High Probability Convergence of Adam Under Unbounded Gradients and Affine Variance Noise. CoRR abs/2311.02000 (2023) - 2022
- [c5]Ting Zhang, Nanfeng Jiang, Junhong Lin, Jielian Lin, Tiesong Zhao:
DesnowFormer: an effective transformer-based image desnowing network. VCIP 2022: 1-5 - [i12]Junhong Lin, Nanfeng Jiang, Zhentao Zhang, Weiling Chen, Tiesong Zhao:
LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removal. CoRR abs/2210.04787 (2022) - 2020
- [j17]Song Li, Junhong Lin, Dekai Liu, Wenchang Sun:
Iterative hard thresholding for compressed data separation. J. Complex. 59: 101469 (2020) - [j16]Junhong Lin, Volkan Cevher:
Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections. J. Mach. Learn. Res. 21: 20:1-20:44 (2020) - [j15]Junhong Lin, Volkan Cevher:
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms. J. Mach. Learn. Res. 21: 147:1-147:63 (2020) - [j14]Hengjing He, Shangli Zhou, Leping Zhang, Junhong Lin, Weile Chen, Di Wu:
Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage. J. Control. Sci. Eng. 2020: 8896612:1-8896612:8 (2020)
2010 – 2019
- 2019
- [j13]Rabeeh Karimi Mahabadi, Junhong Lin, Volkan Cevher:
A Learning-Based Framework for Quantized Compressed Sensing. IEEE Signal Process. Lett. 26(6): 883-887 (2019) - 2018
- [j12]Junhong Lin, Lorenzo Rosasco, Silvia Villa, Ding-Xuan Zhou:
Modified Fejér sequences and applications. Comput. Optim. Appl. 71(1): 95-113 (2018) - [j11]Junhong Lin, Lorenzo Rosasco:
Generalization properties of doubly stochastic learning algorithms. J. Complex. 47: 42-61 (2018) - [j10]Junhong Lin, Bang Wang, Guang Yang, Mu Zhou:
Indoor Localization Based on Weighted Surfacing from Crowdsourced Samples. Sensors 18(9): 2990 (2018) - [j9]Junhong Lin, Ding-Xuan Zhou:
Online Learning Algorithms Can Converge Comparably Fast as Batch Learning. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2367-2378 (2018) - [c4]Junhong Lin, Volkan Cevher:
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods. ICML 2018: 3098-3107 - [c3]Junhong Lin, Volkan Cevher:
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces. ICML 2018: 3108-3117 - [i11]Junhong Lin, Volkan Cevher:
Optimal Rates for Spectral-regularized Algorithms with Least-Squares Regression over Hilbert Spaces. CoRR abs/1801.06720 (2018) - [i10]Junhong Lin, Volkan Cevher:
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral-Regularization Algorithms. CoRR abs/1801.07226 (2018) - [i9]Junhong Lin, Volkan Cevher:
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces. CoRR abs/1803.04371 (2018) - [i8]Junhong Lin, Volkan Cevher:
Kernel Conjugate Gradient Methods with Random Projections. CoRR abs/1811.01760 (2018) - 2017
- [j8]Junhong Lin, Yunwen Lei, Bo Zhang, Ding-Xuan Zhou:
Online pairwise learning algorithms with convex loss functions. Inf. Sci. 406: 57-70 (2017) - [j7]Junhong Lin, Lorenzo Rosasco:
Optimal Rates for Multi-pass Stochastic Gradient Methods. J. Mach. Learn. Res. 18: 97:1-97:47 (2017) - [i7]Junhong Lin, Lorenzo Rosasco:
Generalization Properties of Doubly Online Learning Algorithms. CoRR abs/1707.00577 (2017) - [i6]Junhong Lin, Lorenzo Rosasco:
Optimal Rates for Learning with Nyström Stochastic Gradient Methods. CoRR abs/1710.07797 (2017) - 2016
- [j6]Junhong Lin, Lorenzo Rosasco, Ding-Xuan Zhou:
Iterative Regularization for Learning with Convex Loss Functions. J. Mach. Learn. Res. 17: 77:1-77:38 (2016) - [j5]Junhong Lin, Song Li:
Restricted q-Isometry Properties Adapted to Frames for Nonconvex lq-Analysis. IEEE Trans. Inf. Theory 62(8): 4733-4747 (2016) - [c2]Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco:
Generalization Properties and Implicit Regularization for Multiple Passes SGM. ICML 2016: 2340-2348 - [c1]Junhong Lin, Lorenzo Rosasco:
Optimal Learning for Multi-pass Stochastic Gradient Methods. NIPS 2016: 4556-4564 - [i5]Junhong Lin, Song Li:
Restricted $q$-Isometry Properties Adapted to Frames for Nonconvex $l_q$-Analysis. CoRR abs/1602.06399 (2016) - [i4]Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco:
Generalization Properties and Implicit Regularization for Multiple Passes SGM. CoRR abs/1605.08375 (2016) - [i3]Junhong Lin, Lorenzo Rosasco:
Optimal Learning for Multi-pass Stochastic Gradient Methods. CoRR abs/1605.08882 (2016) - 2015
- [j4]Junhong Lin, Ding-Xuan Zhou:
Learning theory of randomized Kaczmarz algorithm. J. Mach. Learn. Res. 16: 3341-3365 (2015) - 2013
- [j3]Junhong Lin, Song Li:
Nonuniform support recovery from noisy random measurements by Orthogonal Matching Pursuit. J. Approx. Theory 165(1): 20-40 (2013) - [j2]Junhong Lin, Song Li, Yi Shen:
Compressed Data Separation With Redundant Dictionaries. IEEE Trans. Inf. Theory 59(7): 4309-4315 (2013) - [j1]Junhong Lin, Song Li, Yi Shen:
New Bounds for Restricted Isometry Constants With Coherent Tight Frames. IEEE Trans. Signal Process. 61(3): 611-621 (2013) - [i2]Junhong Lin, Song Li:
Sparse Recovery with Coherent Tight Frame via Analysis Dantzig Selector and Analysis LASSO. CoRR abs/1301.3248 (2013) - 2011
- [i1]Song Li, Junhong Lin:
Compressed Sensing with coherent tight frames via $l_q$-minimization for $0<q\leq1$. CoRR abs/1105.3299 (2011)
Coauthor Index
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