1 citations · 3 across the 7 of their papers we have counts for
7 papers
GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation
Lin Mu, Guoji Wang, Li Ni +4
Large Language Models (LLMs) have shown strong potential for recommendation (LLMRec) due to their powerful reasoning and generalization abilities. However, effectively aligning the…
Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
Lin Mu, Guowei Chu, Li Ni +2
Large Language Models (LLMs) have demonstrated remarkable performance across various tasks by effectively utilizing a prompting strategy. However, they are highly sensitive to inpu…
DAFD: Domain Adaptation via Feature Disentanglement for Image Classification
Zhize Wu, Changjiang Du, Le Zou +5
A good feature representation is the key to image classification. In practice, image classifiers may be applied in scenarios different from what they have been trained on. This so-…
New Benchmark for Household Garbage Image Recognition
Zhize Wu, Huanyi Li, Xiaofeng Wang +4
Household garbage images are usually faced with complex backgrounds, variable illuminations, diverse angles, and changeable shapes, which bring a great difficulty in garbage image…
Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection
Zhize Wu, Xiaofeng Wang, Tong Xu +4
Object recognition from images means to automatically find object(s) of interest and to return their category and location information. Benefiting from research on deep learning, l…
Frequency Fitness Assignment: Optimization without Bias for Good Solutions can be Efficient
Thomas Weise, Zhize Wu, Xinlu Li +2
A fitness assignment process transforms the features (such as the objective value) of a candidate solution to a scalar fitness, which then is the basis for selection. Under Frequen…
Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function Value
Thomas Weise, Zhize Wu, Xinlu Li +1
Under Frequency Fitness Assignment (FFA), the fitness corresponding to an objective value is its encounter frequency in fitness assignment steps and is subject to minimization. FFA…