Chaoyang He

发表

A Real-time monitoring and early warning system for landslides in Southwest China

Jian Huang, Nengpan Ju, Runqiu Huang, 2015, Journal of Mountain Science.

Bipartite Graph Neural Networks for Efficient Node Representation Learning

Cyrus Shahabi, Xiang Ren, Chaoyang He, 2019 .

Designing an Android-Based Application for Geohazard Reduction Using Citizen-Based Crowdsourcing Data

Qiang Xu, Jianjun Zhao, Yanrong Li, 2018, Mob. Inf. Syst..

ADMSv2: A Modern Architecture for Transportation Data Management and Analysis

Cyrus Shahabi, Yao-Yi Chiang, Chaoyang He, 2019, ARIC@SIGSPATIAL.

Automated Data Processing and Integration of Large Multiple Data Sources in Geohazards Monitoring

Jian Huang, Qiang Xu, Nengpan Ju, 2017 .

Advances and Open Problems in Federated Learning pdf

Richard Nock, Zaïd Harchaoui, David Evans, 2019, Found. Trends Mach. Learn..

Central Server Free Federated Learning over Single-sided Trust Social Networks pdf

Ji Liu, Hanlin Tang, Conghui Tan, 2019, ArXiv.

3D WebGIS-based platform for debris flow early warning: A case study

Nengpan Ju, Runqiu Huang, Chaoyang He, 2015 .

Research on Evaluation of Laboratories in Independent Institutes Based on the Elman Neural Network

Chaoyang He, Yangyong Jiang, Jianbo Ding, 2011 .

Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge

Murali Annavaram, Chaoyang He, Salman Avestimehr, 2020, NeurIPS.

Assessment of the accuracy of several methods for measuring the spatial attitude of geological bodies using an android smartphone

Da Zheng, Nengpan Ju, Chaoyang He, 2020, Comput. Geosci..

2004 IEEE PES power systems conference & critical requirements for successful on-line security assessment

Xi Lin, Yusheng Xue, Taishan Xu, 2004, IEEE PES Power Systems Conference and Exposition, 2004..

Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search.

Murali Annavaram, Chaoyang He, Salman Avestimehr, 2020 .

Efficient Spatial Anti-Aliasing Rendering for Line Joins on Vector Maps pdf

Chaoyang He, Ming Li, 2019, ArXiv.

Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs

Cyrus Shahabi, Xiang Ren, Yu Rong, 2019 .

FedNAS: Federated Deep Learning via Neural Architecture Search pdf

Amir Salman Avestimehr, Murali Annavaram, Chaoyang He, 2020, ArXiv.

Better Optimization for Neural Architecture Search with Mixed-Level Reformulation

Haishan Ye, Tong Zhang, Chaoyang He, 2019 .

Adversarial Representation Learning on Large-Scale Bipartite Graphs pdf

Wenbing Huang, Cyrus Shahabi, Xiang Ren, 2019, ArXiv.

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation

Haishan Ye, Tong Zhang, Li Shen, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge pdf

Amir Salman Avestimehr, Murali Annavaram, Chaoyang He, 2020, ArXiv.

FedML: A Research Library and Benchmark for Federated Machine Learning pdf

Ramesh Raskar, Yang Liu, Xiaoyang Wang, 2020, ArXiv.

Advances and Open Problems in Federated Learning

Richard Nock, Zaïd Harchaoui, Mehdi Bennis, 2021, Found. Trends Mach. Learn..

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks pdf

Chaoyang He, Murali Annavaram, Emir Ceyani, 2021, ArXiv.

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks pdf

Zhenheng Tang, Xiaowen Chu, Mahdi Soltanolkotabi, 2021, ArXiv.

FairFed: Enabling Group Fairness in Federated Learning pdf

Amir Salman Avestimehr, Chaoyang He, Yahya H. Ezzeldin, 2021, ArXiv.

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge pdf

Xiaolong Ma, Wei Niu, Yanzhi Wang, 2021, NeurIPS.

Federated Learning for Internet of Things pdf

Chaoyang He, Salman Avestimehr, Tuo Zhang, 2021, SenSys.

A Field Guide to Federated Optimization pdf

Suhas Diggavi, Ameet Talwalkar, Tara Javidi, 2021, ArXiv.

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models

Amir Salman Avestimehr, Mahdi Soltanolkotabi, Chaoyang He, 2021, ICML.

Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search pdf

Guangming Shi, Weisheng Dong, Chaoyang He, 2021, ArXiv.

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks pdf

Junzhou Huang, Peilin Zhao, Yu Rong, 2021, 2104.07145.

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers pdf

Shen Li, Mahdi Soltanolkotabi, Chaoyang He, 2021, ArXiv.

SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision pdf

Amir Salman Avestimehr, Mahdi Soltanolkotabi, Chaoyang He, 2021, ArXiv.

FedNLP: A Research Platform for Federated Learning in Natural Language Processing pdf

Xiang Ren, Mahdi Soltanolkotabi, Bill Yuchen Lin, 2021, ArXiv.

SPIDER: Searching Personalized Neural Architecture for Federated Learning pdf

Amir Salman Avestimehr, Chaoyang He, Erum Mushtaq, 2021, ArXiv.

LightSecAgg: Rethinking Secure Aggregation in Federated Learning pdf

Amir Salman Avestimehr, Songze Li, Chaoyang He, 2021, ArXiv.

Layer-wise Adaptive Model Aggregation for Scalable Federated Learning pdf

Chaoyang He, Salman Avestimehr, Tuo Zhang, 2021, ArXiv.

Central Server Free Federated Learning over Single-sided Trust Social Networks pdf

Hanlin Tang, Ji Liu, Conghui Tan, 2019, ArXiv.