Mengwei Xu | DeepAI

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∙ 09/08/2023

LLMCad: Fast and Scalable On-device Large Language Model Inference

Generative tasks, such as text generation and question answering, hold a...

0 Daliang Xu, et al. ∙

∙ 08/28/2023

EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models

Large Language Models (LLMs) such as GPTs and LLaMa have ushered in a re...

0 Rongjie Yi, et al. ∙

∙ 06/01/2023

A Comprehensive Survey on Orbital Edge Computing: Systems, Applications, and Algorithms

The number of satellites, especially those operating in low-earth orbit ...

0 Changhao Wu, et al. ∙

∙ 05/02/2023

Uncertain Machine Ethical Decisions Using Hypothetical Retrospection

We propose the use of the hypothetical retrospection argumentation proce...

5 Simon Kolker, et al. ∙

∙ 12/12/2022

Federated NLP in Few-shot Scenarios

Natural language processing (NLP) sees rich mobile applications. To supp...

0 Dongqi Cai, et al. ∙

∙ 12/01/2022

AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts

Transformer-based pre-trained models have become the de-facto solution f...

0 Dongqi Cai, et al. ∙

∙ 06/23/2022

Device-centric Federated Analytics At Ease

Nowadays, high-volume and privacy-sensitive data are generated by mobile...

0 Li Zhang, et al. ∙

∙ 06/15/2022

Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading

This paper proposes Mandheling, the first system that enables highly res...

0 Daliang Xu, et al. ∙

∙ 06/15/2022

Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices

DNNs are ubiquitous on edge devices nowadays. With its increasing import...

11 Rongjie Yi, et al. ∙

∙ 05/20/2022

AutoFedNLP: An efficient FedNLP framework

Transformer-based pre-trained models have revolutionized NLP for superio...

0 Dongqi Cai, et al. ∙

∙ 12/30/2021

Tiansuan Constellation: An Open Research Platform

Satellite network is the first step of interstellar voyages. It can prov...

0 Shangguang Wang, et al. ∙

∙ 12/05/2021

Boosting Mobile CNN Inference through Semantic Memory

Human brains are known to be capable of speeding up visual recognition o...

5 Yun Li, et al. ∙

∙ 10/25/2021

Observable and Attention-Directing BDI Agents for Human-Autonomy Teaming

Human-autonomy teaming (HAT) scenarios feature humans and autonomous age...

0 Blair Archibald, et al. ∙

∙ 09/08/2021

From Cloud to Edge: A First Look at Public Edge Platforms

Public edge platforms have drawn increasing attention from both academia...

0 Mengwei Xu, et al. ∙

∙ 05/06/2021

Modelling and Verifying BDI Agents with Bigraphs

The Belief-Desire-Intention (BDI) architecture is a popular framework fo...

0 Blair Archibald, et al. ∙

∙ 10/22/2020

Hierarchical Federated Learning through LAN-WAN Orchestration

Federated learning (FL) was designed to enable mobile phones to collabor...

10 Jinliang Yuan, et al. ∙

∙ 06/12/2020

Heterogeneity-Aware Federated Learning

Federated learning (FL) is an emerging distributed machine learning para...

0 Chengxu Yang, et al. ∙

∙ 02/15/2020

Neural Architecture Search over Decentralized Data

To preserve user privacy while enabling mobile intelligence, techniques ...

0 Mengwei Xu, et al. ∙

∙ 09/02/2019

Approximate Query Processing on Autonomous Cameras

Surveillance IoT cameras are becoming autonomous: they operate on batter...

0 Mengwei Xu, et al. ∙

∙ 04/28/2019

Supporting Video Queries on Zero-Streaming Cameras

As low-cost surveillance cameras grow rapidly, we advocate for these cam...

0 Mengwei Xu, et al. ∙

∙ 11/08/2018

A First Look at Deep Learning Apps on Smartphones

We are in the dawn of deep learning explosion for smartphones. To bridge...

0 Mengwei Xu, et al. ∙

∙ 11/08/2018

When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning

Deep learning (DL) is a game-changing technique in mobile scenarios, as ...

0 Mengwei Xu, et al. ∙

∙ 12/01/2017

Enabling Cooperative Inference of Deep Learning on Wearables and Smartphones

Deep Learning (DL) algorithm is the state-of-the-art algorithm of many c...

0 Mengwei Xu, et al. ∙

∙ 12/01/2017

Accelerating Convolutional Neural Networks for Continuous Mobile Vision via Cache Reuse

Convolutional Neural Network (CNN) is the state-of-the-art algorithm of ...

0 Mengwei Xu, et al. ∙

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