Search Results for author: Ning Gu

Found 6 papers, 2 papers with code

Enhancing CTR Prediction with Context-Aware Feature Representation Learning

1 code implementation19 Apr 2022 Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu

However, most methods only learn a fixed representation for each feature without considering the varying importance of each feature under different contexts, resulting in inferior performance.

Click-Through Rate Prediction Representation Learning

Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices

1 code implementation24 Jan 2022 Yingying Zhao, Yuhu Chang, Yutian Lu, Yujiang Wang, Mingzhi Dong, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang

Experimental studies with 20 participants demonstrate that, thanks to the emotionship awareness, EMOShip not only achieves superior emotion recognition accuracy over existing methods (80. 2% vs. 69. 4%), but also provides a valuable understanding of the cause of emotions.

Emotion Recognition

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip

no code implementations10 Jun 2021 Xindi Hu, LiMin Wang, Xin Yang, Xu Zhou, Wufeng Xue, Yan Cao, Shengfeng Liu, Yuhao Huang, Shuangping Guo, Ning Shang, Dong Ni, Ning Gu

In this study, we propose a multi-task framework to learn the relationships among landmarks and structures jointly and automatically evaluate DDH.

MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture

no code implementations3 May 2021 Yuhu Chang, Yingying Zhao, Mingzhi Dong, Yujiang Wang, Yutian Lu, Qin Lv, Robert P. Dick, Tun Lu, Ning Gu, Li Shang

MemX captures human visual attention on the fly, analyzes the salient visual content, and records moments of personal interest in the form of compact video snippets.

A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline

no code implementations9 Apr 2021 Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang

By monitoring the impact of varying resolution on the quality of high-dimensional video analytics features, hence the accuracy of video analytics results, the proposed end-to-end optimization framework learns the best non-myopic policy for dynamically controlling the resolution of input video streams to globally optimize energy efficiency.

Instance Segmentation Optical Flow Estimation +3

Mixture-Rank Matrix Approximation for Collaborative Filtering

no code implementations NeurIPS 2017 Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen Chu

However, our studies show that submatrices with different ranks could coexist in the same user-item rating matrix, so that approximations with fixed ranks cannot perfectly describe the internal structures of the rating matrix, therefore leading to inferior recommendation accuracy.

Collaborative Filtering

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