17 citations · 57 across the 7 of their papers we have counts for
7 papers
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
Yubin Shi, Yixuan Chen, Mingzhi Dong +10
Despite their prevalence in deep-learning communities, over-parameterized models convey high demands of computational costs for proper training. This work studies the fine-grained,…
Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground
Zhenyu Xu, Hailin Xu, Zhouyang Lu +11
Developing chatbots as personal companions has long been a goal of artificial intelligence researchers. Recent advances in Large Language Models (LLMs) have delivered a practical s…
Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices
Yingying Zhao, Yuhu Chang, Yutian Lu +8
Emotion recognition in smart eyewear devices is highly valuable but challenging. One key limitation of previous works is that the expression-related information like facial or eye…
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
Yingying Zhao, Mingzhi Dong, Yujiang Wang +7
Deep-learning-based video processing has yielded transformative results in recent years. However, the video analytics pipeline is energy-intensive due to high data rates and relian…
MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture
Yuhu Chang, Yingying Zhao, Mingzhi Dong +7
This work presents MemX: a biologically-inspired attention-aware eyewear system developed with the goal of pursuing the long-awaited vision of a personalized visual Memex. MemX cap…
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
Dongsheng Li, Haodong Liu, Chao Chen +3
In collaborative filtering (CF) algorithms, the optimal models are usually learned by globally minimizing the empirical risks averaged over all the observed data. However, the glob…
A Scalable Algorithm for Privacy-Preserving Item-based Top-N Recommendation
Yingying Zhao, Dongsheng Li, Qin Lv +1
Recommender systems have become an indispensable component in online services during recent years. Effective recommendation is essential for improving the services of various onlin…