most citedSDG-L: A Semiparametric Deep Gaussian Process based Framework for Battery Capacity Prediction

2 citations · 2 across the 2 of their papers we have counts for

collaborators

7 papers

cs.LG20252 cited

SDG-L: A Semiparametric Deep Gaussian Process based Framework for Battery Capacity Prediction

Hanbing Liu, Yanru Wu, Yang Li +2

Lithium-ion batteries are becoming increasingly omnipresent in energy supply. However, the durability of energy storage using lithium-ion batteries is threatened by their dropping…

cs.LG2025

Reinforced Domain Selection for Continuous Domain Adaptation

Hanbing Liu, Huaze Tang, Yanru Wu +2

Continuous Domain Adaptation (CDA) effectively bridges significant domain shifts by progressively adapting from the source domain through intermediate domains to the target domain.…

cs.LG2025

Understanding Knowledge Transferability for Transfer Learning: A Survey

Haohua Wang, Jingge Wang, Zijie Zhao +9

Transfer learning has become an essential paradigm in artificial intelligence, enabling the transfer of knowledge from a source task to improve performance on a target task. This a…

cs.CL2025

Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer

Enming Zhang, Liwen Cao, Yanru Wu +2

Prompt tuning has emerged as a lightweight strategy for adapting foundation models to downstream tasks, particularly for resource-constrained systems. As pre-trained prompts become…

cs.CV2025

TMT: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation

Enming Zhang, Zhengyu Li, Yanru Wu +5

Recent advances in Vision Transformers (ViTs) have significantly advanced semantic segmentation performance. However, their adaptation to new target domains remains challenged by d…

cs.LG2025

Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings

Yanru Wu, Jianning Wang, Xiangyu Chen +4

Continual learning (CL) has been a critical topic in contemporary deep neural network applications, where higher levels of both forward and backward transfer are desirable for an e…