152 citations · 327 across the 34 of their papers we have counts for
11 papers · 1 filter
AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization
Zhiying Xu, Hongding Peng, Wei Wang
Traditional deep learning compilers rely on heuristics for subgraph generation, which impose extra constraints on graph optimization, e.g., each subgraph can only contain at most o…
Multi-level Adversarial Spatio-temporal Learning for Footstep Pressure based FoG Detection
Kun Hu, Shaohui Mei, Wei Wang +5
Freezing of gait (FoG) is one of the most common symptoms of Parkinson's disease, which is a neurodegenerative disorder of the central nervous system impacting millions of people a…
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy
Zhifeng Jiang, Wei Wang, Ruichuan Chen
Federated learning (FL) is increasingly deployed among multiple clients to train a shared model over decentralized data. To address privacy concerns, FL systems need to safeguard t…
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations
Wentao Chen, Zhang Zhang, Wei Wang +3
Few-shot learning (FSL) aims to recognize novel queries with only a few support samples through leveraging prior knowledge from a base dataset. In this paper, we consider the domai…
Pisces: Efficient Federated Learning via Guided Asynchronous Training
Zhifeng Jiang, Wei Wang, Baochun Li +1
Federated learning (FL) is typically performed in a synchronous parallel manner, where the involvement of a slow client delays a training iteration. Current FL systems employ a par…
The Chinese Hα Solar Explorer (CHASE) mission: An overview
Chuan Li, Cheng Fang, Zhen Li +32
The Chinese Hα Solar Explorer (CHASE), dubbed "Xihe" - Goddess of the Sun, was launched on October 14, 2021 as the first solar space mission of China National Space Administration…
Wasserstein Adversarial Transformer for Cloud Workload Prediction
Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee +2
Predictive Virtual Machine (VM) auto-scaling is a promising technique to optimize cloud applications operating costs and performance. Understanding the job arrival rate is crucial…
Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling
Yue Song, Hao Tang, Nicu Sebe +1
Salient object detection has been long studied to identify the most visually attractive objects in images/videos. Recently, a growing amount of approaches have been proposed all of…
Machine Learning and Artificial Intelligence in Next-Generation Wireless Network
Wafeeq Iqbal, Wei Wang, Ting Zhu
Due to the advancement in technologies, the next-generation wireless network will be very diverse, complicated, and according to the changed demands of the consumers. The current n…
Fast Differentiable Matrix Square Root and Inverse Square Root
Yue Song, Nicu Sebe, Wei Wang
Computing the matrix square root and its inverse in a differentiable manner is important in a variety of computer vision tasks. Previous methods either adopt the Singular Value Dec…
Computer Vision Based Parking Optimization System
Siddharth Chandrasekaran, Jeffrey Matthew Reginald, Wei Wang +1
An improvement in technology is linearly related to time and time-relevant problems. It has been seen that as time progresses, the number of problems humans face also increases. Ho…