1 citations · 1 across the 4 of their papers we have counts for
4 papers
Light distillation for Incremental Graph Convolution Collaborative Filtering
X Fan, F Mo, C Chen +1
Recommender systems presently utilize vast amounts of data and play a pivotal role in enhancing user experiences. Graph Convolution Networks (GCNs) have surfaced as highly efficien…
Personalized Fashion Recommendation with Image Attributes and Aesthetics Assessment
Chongxian Chen, Fan Mo, Xin Fan +1
Personalized fashion recommendation is a difficult task because 1) the decisions are highly correlated with users' aesthetic appetite, which previous work frequently overlooks, and…
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models
Yuxiang Zhang, Xin Fan, Junjie Wang +4
Recent advancements in large language models (LLMs) integrated with external tools and APIs have successfully addressed complex tasks by using in-context learning or fine-tuning. D…
Weight-importance sparse training in keyword spotting
Sihao Xue, Zhenyi Ying, Fan Mo +2
Large size models are implemented in recently ASR system to deal with complex speech recognition problems. The num- ber of parameters in these models makes them hard to deploy, esp…