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2020 – today
- 2025
[j15]Xin Jiang, Edward Duc Hien Nguyen, César A. Uribe, Bicheng Ying
:
Sparse Factorization of the Square All-Ones Matrix of Arbitrary Order. SIAM J. Matrix Anal. Appl. 46(1): 466-486 (2025)- [i19]Bicheng Ying, Zhe Li, Haibo Yang:
From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning. CoRR abs/2503.20117 (2025) - 2024
- [i18]Zhe Li, Bicheng Ying, Zidong Liu, Haibo Yang:
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. CoRR abs/2405.15861 (2024) - 2023
- [c18]Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin:
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. ICML 2023: 8067-8089 - [i17]Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin:
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. CoRR abs/2306.00256 (2023) - 2021
- [c17]Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin:
Exponential Graph is Provably Efficient for Decentralized Deep Training. NeurIPS 2021: 13975-13987 - [i16]Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin:
Exponential Graph is Provably Efficient for Decentralized Deep Training. CoRR abs/2110.13363 (2021) - [i15]Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin:
BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. CoRR abs/2111.04287 (2021) - 2020
- [j14]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Variance-Reduced Stochastic Learning Under Random Reshuffling. IEEE Trans. Signal Process. 68: 1390-1408 (2020) - [j13]Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed:
On the Influence of Bias-Correction on Distributed Stochastic Optimization. IEEE Trans. Signal Process. 68: 4352-4367 (2020)
2010 – 2019
- 2019
- [j12]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Dynamic Average Diffusion With Randomized Coordinate Updates. IEEE Trans. Signal Inf. Process. over Networks 5(4): 753-767 (2019) - [j11]Kun Yuan, Bicheng Ying, Jiageng Liu, Ali H. Sayed:
Variance-Reduced Stochastic Learning by Networked Agents Under Random Reshuffling. IEEE Trans. Signal Process. 67(2): 351-366 (2019) - [j10]Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed:
Stochastic Learning Under Random Reshuffling With Constant Step-Sizes. IEEE Trans. Signal Process. 67(2): 474-489 (2019) - [j9]Kun Yuan, Bicheng Ying, Xiaochuan Zhao, Ali H. Sayed:
Exact Diffusion for Distributed Optimization and Learning - Part I: Algorithm Development. IEEE Trans. Signal Process. 67(3): 708-723 (2019) - [j8]Kun Yuan, Bicheng Ying, Xiaochuan Zhao, Ali H. Sayed:
Exact Diffusion for Distributed Optimization and Learning - Part II: Convergence Analysis. IEEE Trans. Signal Process. 67(3): 724-739 (2019) - [j7]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Supervised Learning Under Distributed Features. IEEE Trans. Signal Process. 67(4): 977-992 (2019) - [c16]Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed:
On the Performance of Exact Diffusion over Adaptive Networks. CDC 2019: 4898-4903 - [c15]Kun Yuan, Bicheng Ying, Ali H. Sayed:
COVER: A Cluster-based Variance Reduced Method for Online Learning. ICASSP 2019: 3102-3106 - [i14]Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed:
On the Performance of Exact Diffusion over Adaptive Networks. CoRR abs/1903.10956 (2019) - 2018
- [b1]Bicheng Ying:
Learning Under Random Reshuffling and Distributed Features. University of California, Los Angeles, USA, 2018 - [j6]Bicheng Ying, Ali H. Sayed:
Performance limits of stochastic sub-gradient learning, part II: Multi-agent case. Signal Process. 144: 253-264 (2018) - [j5]Bicheng Ying, Ali H. Sayed:
Performance limits of stochastic sub-gradient learning, Part I: Single agent case. Signal Process. 144: 271-282 (2018) - [j4]Chengcheng Wang, Yonggang Zhang, Bicheng Ying, Ali H. Sayed:
Coordinate-Descent Diffusion Learning by Networked Agents. IEEE Trans. Signal Process. 66(2): 352-367 (2018) - [c14]Bicheng Ying, Kun Yuan, Ali H. Sayed:
An Exponentially Convergent Algorithm for Learning Under Distributed Features. DSW 2018: 185-189 - [c13]Kun Yuan, Bicheng Ying, Ali H. Sayed:
Efficient Variance-Reduced Learning Over Multi-Agent Networks. EUSIPCO 2018: 415-419 - [c12]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Convergence of Variance-Reduced Learning Under Random Reshuffling. ICASSP 2018: 2286-2290 - [i13]Hawraa Salami, Bicheng Ying, Ali H. Sayed:
Belief Control Strategies for Interactions over Weak Graphs. CoRR abs/1801.05479 (2018) - [i12]Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed:
Stochastic Learning under Random Reshuffling. CoRR abs/1803.07964 (2018) - [i11]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Learning Under Distributed Features. CoRR abs/1805.11384 (2018) - [i10]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Dynamic Average Diffusion with randomized Coordinate Updates. CoRR abs/1810.08901 (2018) - 2017
- [j3]Hawraa Salami, Bicheng Ying, Ali H. Sayed:
Social Learning Over Weakly Connected Graphs. IEEE Trans. Signal Inf. Process. over Networks 3(2): 222-238 (2017) - [c11]Kun Yuan, Bicheng Ying, Xiaochuan Zhao, Ali H. Sayed:
Exact diffusion strategy for optimization by networked agents. EUSIPCO 2017: 141-145 - [c10]Chengcheng Wang, Yonggang Zhang, Bicheng Ying, Ali H. Sayed:
Coordinate-descent adaptation over networks. EUSIPCO 2017: 2284-2288 - [c9]Bicheng Ying, Ali H. Sayed:
Diffusion gradient boosting for networked learning. ICASSP 2017: 2512-2516 - [c8]Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed:
On the performance of random reshuffling in stochastic learning. ITA 2017: 1-5 - [i9]Bicheng Ying, Ali H. Sayed:
Performance Limits of Stochastic Sub-Gradient Learning, Part II: Multi-Agent Case. CoRR abs/1704.06025 (2017) - [i8]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Convergence of Variance-Reduced Stochastic Learning under Random Reshuffling. CoRR abs/1708.01383 (2017) - [i7]Kun Yuan, Bicheng Ying, Ali H. Sayed:
Efficient Variance-Reduced Learning for Fully Decentralized On-Device Intelligence. CoRR abs/1708.01384 (2017) - 2016
- [j2]Kun Yuan, Bicheng Ying, Ali H. Sayed:
On the Influence of Momentum Acceleration on Online Learning. J. Mach. Learn. Res. 17: 192:1-192:66 (2016) - [j1]Bicheng Ying, Ali H. Sayed:
Information Exchange and Learning Dynamics Over Weakly Connected Adaptive Networks. IEEE Trans. Inf. Theory 62(3): 1396-1414 (2016) - [c7]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Online dual coordinate ascent learning. EUSIPCO 2016: 1793-1797 - [c6]Stefan Vlaski, Bicheng Ying, Ali H. Sayed:
The brain strategy for online learning. GlobalSIP 2016: 1285-1289 - [c5]Hawraa Salami, Bicheng Ying, Ali H. Sayed:
Diffusion social learning over weakly-connected graphs. ICASSP 2016: 4119-4123 - [c4]Bicheng Ying, Ali H. Sayed:
Performance limits of single-agent and multi-agent sub-gradient stochastic learning. ICASSP 2016: 4905-4909 - [c3]Kun Yuan, Bicheng Ying, Ali H. Sayed:
On the influence of momentum acceleration on online learning. ICASSP 2016: 4915-4919 - [c2]Kun Yuan, Bicheng Ying, Stefan Vlaski, Ali H. Sayed:
Stochastic gradient descent with finite samples sizes. MLSP 2016: 1-6 - [i6]Bicheng Ying, Kun Yuan, Ali H. Sayed:
Online Dual Coordinate Ascent Learning. CoRR abs/1602.07630 (2016) - [i5]Kun Yuan, Bicheng Ying, Ali H. Sayed:
On the Influence of Momentum Acceleration on Online Learning. CoRR abs/1603.04136 (2016) - [i4]Chengcheng Wang, Yonggang Zhang, Bicheng Ying, Ali H. Sayed:
Coordinate-Descent Diffusion Learning by Networked Agents. CoRR abs/1607.01838 (2016) - [i3]Hawraa Salami, Bicheng Ying, Ali H. Sayed:
Social Learning over Weakly-Connected Graphs. CoRR abs/1609.03703 (2016) - 2015
- [c1]Bicheng Ying, Ali H. Sayed:
Learning by weakly-connected adaptive agents. ICASSP 2015: 5788-5792 - [i2]Bicheng Ying, Ali H. Sayed:
Performance Limits of Online Stochastic Sub-Gradient Learning. CoRR abs/1511.07902 (2015) - 2014
- [i1]Bicheng Ying, Ali H. Sayed:
Information Exchange and Learning Dynamics over Weakly-Connected Adaptive Networks. CoRR abs/1412.1523 (2014)
Coauthor Index
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