6 citations · 14 across the 7 of their papers we have counts for
7 papers
Breaking the Curse of Knowledge: Towards Effective Multimodal Recommendation using Knowledge Soft Integration
Kai Ouyang, Chen Tang, Zenghao Chai +4
A critical challenge in contemporary recommendation systems lies in effectively leveraging multimodal content to enhance recommendation personalization. Although various solutions…
Advanced Multi-Microscopic Views Cell Semi-supervised Segmentation
Fang Hu, Xuexue Sun, Ke Qing +3
Although deep learning (DL) shows powerful potential in cell segmentation tasks, it suffers from poor generalization as DL-based methods originally simplified cell segmentation in…
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
Chen Tang, Li Lyna Zhang, Huiqiang Jiang +6
Neural Architecture Search (NAS) has shown promising performance in the automatic design of vision transformers (ViT) exceeding 1G FLOPs. However, designing lightweight and low-lat…
SeqNet: An Efficient Neural Network for Automatic Malware Detection
Jiawei Xu, Wenxuan Fu, Haoyu Bu +2
Malware continues to evolve rapidly, and more than 450,000 new samples are captured every day, which makes manual malware analysis impractical. However, existing deep learning dete…
bert2BERT: Towards Reusable Pretrained Language Models
Cheng Chen, Yichun Yin, Lifeng Shang +7
In recent years, researchers tend to pre-train ever-larger language models to explore the upper limit of deep models. However, large language model pre-training costs intensive com…
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation
Cheng Chen, Yichun Yin, Lifeng Shang +4
Task-agnostic knowledge distillation, a teacher-student framework, has been proved effective for BERT compression. Although achieving promising results on NLP tasks, it requires en…
Deepfake Forensics via An Adversarial Game
Zhi Wang, Yiwen Guo, Wangmeng Zuo
With the progress in AI-based facial forgery (i.e., deepfake), people are increasingly concerned about its abuse. Albeit effort has been made for training classification (also know…