Bicheng Ying - RankMe

58 papers A* 4Misc 8Journal 36Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. ICLR Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
2025	—	`conf`	Achieving Extremely Low Communication Overhead in Federated Learning via Zeroth-Order SignSGD. IEEECONF Zhe Li, Bicheng Ying, Dandan Liang, Zidong Liu, Rui Li, Haibo Yang
2025	A*	`conf`	FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning. IJCAI Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, S. Sitharama Iyengar, Haibo Yang
2025	J	`jnl`	From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning. CoRR Bicheng Ying, Zhe Li, Haibo Yang
2025	J	`jnl`	On Graphs with Finite-Time Consensus and Their Use in Gradient Tracking. SIAM J. Optim. Edward Duc Hien Nguyen, Xin Jiang, Bicheng Ying, César A. Uribe
2025	J	`jnl`	Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning. CoRR Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
2025	J	`jnl`	Sparse Factorization of the Square All-Ones Matrix of Arbitrary Order. SIAM J. Matrix Anal. Appl. Xin Jiang, Edward Duc Hien Nguyen, César A. Uribe, Bicheng Ying
2024	J	`jnl`	Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. CoRR Zhe Li, Bicheng Ying, Zidong Liu, Haibo Yang
2023	A*	`conf`	DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. ICML Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin
2023	J	`jnl`	DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. CoRR Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin
2021	J	`jnl`	BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. CoRR Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin
2021	A*	`conf`	Exponential Graph is Provably Efficient for Decentralized Deep Training. NeurIPS Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
2021	J	`jnl`	Exponential Graph is Provably Efficient for Decentralized Deep Training. CoRR Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
2020	J	`jnl`	On the Influence of Bias-Correction on Distributed Stochastic Optimization. IEEE Trans. Signal Process. Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed
2020	J	`jnl`	Variance-Reduced Stochastic Learning Under Random Reshuffling. IEEE Trans. Signal Process. Bicheng Ying, Kun Yuan, Ali H. Sayed
2019	Misc	`conf`	COVER: A Cluster-based Variance Reduced Method for Online Learning. ICASSP Kun Yuan, Bicheng Ying, Ali H. Sayed
2019	J	`jnl`	Dynamic Average Diffusion With Randomized Coordinate Updates. IEEE Trans. Signal Inf. Process. over Networks Bicheng Ying, Kun Yuan, Ali H. Sayed
2019	J	`jnl`	Exact Diffusion for Distributed Optimization and Learning - Part I: Algorithm Development. IEEE Trans. Signal Process. Kun Yuan, Bicheng Ying, Xiaochuan Zhao, Ali H. Sayed
2019	J	`jnl`	Exact Diffusion for Distributed Optimization and Learning - Part II: Convergence Analysis. IEEE Trans. Signal Process. Kun Yuan, Bicheng Ying, Xiaochuan Zhao, Ali H. Sayed
2019	—	`conf`	On the Performance of Exact Diffusion over Adaptive Networks. CDC Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed
2019	J	`jnl`	On the Performance of Exact Diffusion over Adaptive Networks. CoRR Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed
2019	J	`jnl`	Stochastic Learning Under Random Reshuffling With Constant Step-Sizes. IEEE Trans. Signal Process. Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed
2019	J	`jnl`	Supervised Learning Under Distributed Features. IEEE Trans. Signal Process. Bicheng Ying, Kun Yuan, Ali H. Sayed
2019	J	`jnl`	Variance-Reduced Stochastic Learning by Networked Agents Under Random Reshuffling. IEEE Trans. Signal Process. Kun Yuan, Bicheng Ying, Jiageng Liu, Ali H. Sayed
2018	—	`conf`	An Exponentially Convergent Algorithm for Learning Under Distributed Features. DSW Bicheng Ying, Kun Yuan, Ali H. Sayed
2018	J	`jnl`	Belief Control Strategies for Interactions over Weak Graphs. CoRR Hawraa Salami, Bicheng Ying, Ali H. Sayed
2018	Misc	`conf`	Convergence of Variance-Reduced Learning Under Random Reshuffling. ICASSP Bicheng Ying, Kun Yuan, Ali H. Sayed
2018	J	`jnl`	Coordinate-Descent Diffusion Learning by Networked Agents. IEEE Trans. Signal Process. Chengcheng Wang, Yonggang Zhang, Bicheng Ying, Ali H. Sayed
2018	J	`jnl`	Dynamic Average Diffusion with randomized Coordinate Updates. CoRR Bicheng Ying, Kun Yuan, Ali H. Sayed
2018	—	`conf`	Efficient Variance-Reduced Learning Over Multi-Agent Networks. EUSIPCO Kun Yuan, Bicheng Ying, Ali H. Sayed
2018	J	`jnl`	Learning Under Distributed Features. CoRR Bicheng Ying, Kun Yuan, Ali H. Sayed
2018	—	`—`	Learning Under Random Reshuffling and Distributed Features Bicheng Ying
2018	J	`jnl`	Performance limits of stochastic sub-gradient learning, Part I: Single agent case. Signal Process. Bicheng Ying, Ali H. Sayed
2018	J	`jnl`	Performance limits of stochastic sub-gradient learning, part II: Multi-agent case. Signal Process. Bicheng Ying, Ali H. Sayed
2018	J	`jnl`	Stochastic Learning under Random Reshuffling. CoRR Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed
2017	J	`jnl`	Convergence of Variance-Reduced Stochastic Learning under Random Reshuffling. CoRR Bicheng Ying, Kun Yuan, Ali H. Sayed
2017	—	`conf`	Coordinate-descent adaptation over networks. EUSIPCO Chengcheng Wang, Yonggang Zhang, Bicheng Ying, Ali H. Sayed
2017	Misc	`conf`	Diffusion gradient boosting for networked learning. ICASSP Bicheng Ying, Ali H. Sayed
2017	J	`jnl`	Efficient Variance-Reduced Learning for Fully Decentralized On-Device Intelligence. CoRR Kun Yuan, Bicheng Ying, Ali H. Sayed
2017	—	`conf`	Exact diffusion strategy for optimization by networked agents. EUSIPCO Kun Yuan, Bicheng Ying, Xiaochuan Zhao, Ali H. Sayed
2017	Misc	`conf`	On the performance of random reshuffling in stochastic learning. ITA Bicheng Ying, Kun Yuan, Stefan Vlaski, Ali H. Sayed
2017	J	`jnl`	Performance Limits of Stochastic Sub-Gradient Learning, Part II: Multi-Agent Case. CoRR Bicheng Ying, Ali H. Sayed
2017	J	`jnl`	Social Learning Over Weakly Connected Graphs. IEEE Trans. Signal Inf. Process. over Networks Hawraa Salami, Bicheng Ying, Ali H. Sayed
2016	J	`jnl`	Coordinate-Descent Diffusion Learning by Networked Agents. CoRR Chengcheng Wang, Yonggang Zhang, Bicheng Ying, Ali H. Sayed
2016	Misc	`conf`	Diffusion social learning over weakly-connected graphs. ICASSP Hawraa Salami, Bicheng Ying, Ali H. Sayed
2016	J	`jnl`	Information Exchange and Learning Dynamics Over Weakly Connected Adaptive Networks. IEEE Trans. Inf. Theory Bicheng Ying, Ali H. Sayed
2016	J	`jnl`	On the Influence of Momentum Acceleration on Online Learning. CoRR Kun Yuan, Bicheng Ying, Ali H. Sayed
2016	J	`jnl`	On the Influence of Momentum Acceleration on Online Learning. J. Mach. Learn. Res. Kun Yuan, Bicheng Ying, Ali H. Sayed
2016	Misc	`conf`	On the influence of momentum acceleration on online learning. ICASSP Kun Yuan, Bicheng Ying, Ali H. Sayed
2016	J	`jnl`	Online Dual Coordinate Ascent Learning. CoRR Bicheng Ying, Kun Yuan, Ali H. Sayed
2016	—	`conf`	Online dual coordinate ascent learning. EUSIPCO Bicheng Ying, Kun Yuan, Ali H. Sayed
2016	Misc	`conf`	Performance limits of single-agent and multi-agent sub-gradient stochastic learning. ICASSP Bicheng Ying, Ali H. Sayed
2016	J	`jnl`	Social Learning over Weakly-Connected Graphs. CoRR Hawraa Salami, Bicheng Ying, Ali H. Sayed
2016	—	`conf`	Stochastic gradient descent with finite samples sizes. MLSP Kun Yuan, Bicheng Ying, Stefan Vlaski, Ali H. Sayed
2016	—	`conf`	The brain strategy for online learning. GlobalSIP Stefan Vlaski, Bicheng Ying, Ali H. Sayed
2015	Misc	`conf`	Learning by weakly-connected adaptive agents. ICASSP Bicheng Ying, Ali H. Sayed
2015	J	`jnl`	Performance Limits of Online Stochastic Sub-Gradient Learning. CoRR Bicheng Ying, Ali H. Sayed
2014	J	`jnl`	Information Exchange and Learning Dynamics over Weakly-Connected Adaptive Networks. CoRR Bicheng Ying, Ali H. Sayed