Lei Wang - RankMe

20 papers A* 2A 1Misc 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA. AAAI Jieming Bian, Lei Wang, Letian Zhang, Jie Xu
2026	J	`jnl`	FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning. CoRR Jieming Bian, Lei Wang, Letian Zhang, Jie Xu
2025	J	`jnl`	A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning. CoRR Jieming Bian, Yuanzhe Peng, Lei Wang, Yin Huang, Jie Xu
2025	J	`jnl`	Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning. CoRR Lei Wang, Jieming Bian, Letian Zhang, Jie Xu
2025	J	`jnl`	FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-the-World LoRA. CoRR Jieming Bian, Lei Wang, Letian Zhang, Jie Xu
2025	J	`jnl`	FedEL: Federated Elastic Learning for Heterogeneous Devices. CoRR Letian Zhang, Bo Chen, Jieming Bian, Lei Wang, Jie Xu
2025	J	`jnl`	Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms. CoRR Yuanzhe Peng, Jieming Bian, Lei Wang, Yin Huang, Jie Xu
2025	J	`jnl`	Quantum Entanglement Path Selection and Qubit Allocation via Adversarial Group Neural Bandits. IEEE Trans. Netw. Yin Huang, Lei Wang, Jie Xu
2024	J	`jnl`	Accelerating Hybrid Federated Learning Convergence Under Partial Participation. IEEE Trans. Signal Process. Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu
2024	A	`conf`	Adaptive User-Centric Entanglement Routing in Quantum Data Networks. ICDCS Lei Wang, Jieming Bian, Jie Xu
2024	—	`conf`	CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers✱. e-Energy Jieming Bian, Lei Wang, Shaolei Ren, Jie Xu
2024	J	`jnl`	Computation and Communication Efficient Lightweighting Vertical Federated Learning. CoRR Heqiang Wang, Jieming Bian, Lei Wang
2024	Misc	`conf`	Federated Learning with Instance-Dependent Noisy Label. ICASSP Lei Wang, Jieming Bian, Jie Xu
2024	J	`jnl`	LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement. CoRR Jieming Bian, Lei Wang, Letian Zhang, Jie Xu
2024	J	`jnl`	Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning. CoRR Jieming Bian, Lei Wang, Jie Xu
2024	J	`jnl`	Quantum Entanglement Path Selection and Qubit Allocation via Adversarial Group Neural Bandits. CoRR Yin Huang, Lei Wang, Jie Xu
2024	A*	`conf`	Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains. NeurIPS Lei Wang, Jieming Bian, Letian Zhang, Chen Chen, Jie Xu
2024	J	`jnl`	Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains. CoRR Lei Wang, Jieming Bian, Letian Zhang, Chen Chen, Jie Xu
2023	J	`jnl`	Accelerating Hybrid Federated Learning Convergence under Partial Participation. CoRR Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu
2023	J	`jnl`	Federated Learning with Instance-Dependent Noisy Label. CoRR Lei Wang, Jieming Bian, Jie Xu