Dongqi Cai

Orcid: 0000-0003-2751-2500

According to our database1, Dongqi Cai authored at least 31 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Accelerating Vertical Federated Learning.
IEEE Trans. Big Data, December, 2024

DEPT: Decoupled Embeddings for Pre-training Language Models.
CoRR, 2024

Small Language Models: Survey, Measurements, and Insights.
CoRR, 2024

Recall: Empowering Multimodal Embedding for Edge Devices.
CoRR, 2024

FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts.
CoRR, 2024

ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents.
CoRR, 2024

Lightweight Protection for Privacy in Offloaded Speech Understanding.
CoRR, 2024

A Survey of Resource-efficient LLM and Multimodal Foundation Models.
CoRR, 2024

FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences.
Proceedings of the 2024 USENIX Annual Technical Conference, 2024

Mobile Foundation Model as Firmware.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission.
Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

Large Language Models on Mobile Devices: Measurements, Analysis, and Insights.
Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

2023
Rethinking Mobile AI Ecosystem in the LLM Era.
CoRR, 2023

Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices.
CoRR, 2023

Federated Few-Shot Learning for Mobile NLP.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Efficient Federated Learning for Modern NLP.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition.
Proceedings of the International Conference on Machine Learning, 2023

Towards Practical Few-shot Federated NLP.
Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

FedAdapter: Efficient Federated Learning for Mobile NLP.
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022
Federated NLP in Few-shot Scenarios.
CoRR, 2022

AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts.
CoRR, 2022

AutoFedNLP: An efficient FedNLP framework.
CoRR, 2022

2021
Dynamic Normalization and Relay for Video Action Recognition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance.
Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021

2018
Learning Visual Knowledge Memory Networks for Visual Question Answering.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Learning supervised scoring ensemble for emotion recognition in the wild.
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017

2016
Adaptive Synopsis of Non-Human Primates' Surveillance Video Based on Behavior Classification.
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

HoloNet: towards robust emotion recognition in the wild.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

2015
Deep CCA based super vector for action recognition.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Local metric learning for EEG-based personal identification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
An adaptive symmetry detection algorithm based on local features.
Proceedings of the 2014 IEEE Visual Communications and Image Processing Conference, 2014


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