Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance. - Dongqi Cai 001; Qipeng Wang; Yuanqiang Liu; Yunxin Liu 001; Shangguang Wang; Mengwei Xu (EMDL@MobiSys, 2021)

AutoFedNLP: An efficient FedNLP framework. - Dongqi Cai 001; Yaozong Wu; Shangguang Wang; Felix Xiaozhu Lin; Mengwei Xu (CoRR, 2022)

AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts. - Dongqi Cai 001; Yaozong Wu; Haitao Yuan 002; Shangguang Wang; Felix Xiaozhu Lin; Mengwei Xu (CoRR, 2022)

Federated NLP in Few-shot Scenarios. - Dongqi Cai 001; Shangguang Wang; Yaozong Wu; Felix Xiaozhu Lin; Mengwei Xu (CoRR, 2022)

FedAdapter: Efficient Federated Learning for Mobile NLP. - Dongqi Cai 001; Yaozong Wu; Shangguang Wang; Mengwei Xu (ACM TUR-C, 2023)

Towards Practical Few-shot Federated NLP. - Dongqi Cai 001; Yaozong Wu; Haitao Yuan 002; Shangguang Wang; Felix Xiaozhu Lin; Mengwei Xu (EuroMLSys@EuroSys, 2023)

Efficient Federated Learning for Modern NLP. - Dongqi Cai 001; Yaozong Wu; Shangguang Wang; Felix Xiaozhu Lin; Mengwei Xu (MobiCom, 2023)

Federated Few-Shot Learning for Mobile NLP. - Dongqi Cai 001; Shangguang Wang; Yaozong Wu; Felix Xiaozhu Lin; Mengwei Xu (MobiCom, 2023)

Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices. - Mengwei Xu; Yaozong Wu; Dongqi Cai 001; Xiang Li 067; Shangguang Wang (CoRR, 2023)

Rethinking Mobile AI Ecosystem in the LLM Era. - Jinliang Yuan; Chen Yang; Dongqi Cai 001; Shihe Wang; Xin Yuan; Zeling Zhang; Xiang Li 067; Dingge Zhang; Hanzi Mei; Xianqing Jia; Shangguang Wang; Mengwei Xu (CoRR, 2023)

Large Language Models on Mobile Devices: Measurements, Analysis, and Insights. - Xiang Li 067; Zhenyan Lu; Dongqi Cai 001; Xiao Ma 009; Mengwei Xu (EdgeFM@MobiSys, 2024)

FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission. - Zeling Zhang; Dongqi Cai 001; Yiran Zhang; Mengwei Xu; Shangguang Wang; Ao Zhou 001 (EuroMLSys@EuroSys, 2024)

Mobile Foundation Model as Firmware. - Jinliang Yuan; Chen Yang; Dongqi Cai 001; Shihe Wang; Xin Yuan; Zeling Zhang; Xiang Li 067; Dingge Zhang; Hanzi Mei; Xianqing Jia; Shangguang Wang; Mengwei Xu (MobiCom, 2024)

SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices. - Dongqi Cai 001; Shangguang Wang; Zeling Zhang; Felix Xiaozhu Lin; Mengwei Xu (NeurIPS, 2024)

FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences. - Mengwei Xu; Dongqi Cai 001; Yaozong Wu; Xiang Li 067; Shangguang Wang (USENIX ATC, 2024)

A Survey of Resource-efficient LLM and Multimodal Foundation Models. - Mengwei Xu; Wangsong Yin; Dongqi Cai 001; Rongjie Yi; Daliang Xu; Qipeng Wang; Bingyang Wu; Yihao Zhao; Chen Yang; Shihe Wang; Qiyang Zhang; Zhenyan Lu; et al. (CoRR, 2024)

Lightweight Protection for Privacy in Offloaded Speech Understanding. - Dongqi Cai 001; Shangguang Wang; Zeling Zhang; Felix Xiaozhu Lin; Mengwei Xu (CoRR, 2024)

FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts. - Hanzi Mei; Dongqi Cai 001; Ao Zhou 001; Shangguang Wang; Mengwei Xu (CoRR, 2024)

Recall: Empowering Multimodal Embedding for Edge Devices. - Dongqi Cai 001; Shangguang Wang; Chen Peng; Zeling Zhang; Mengwei Xu (CoRR, 2024)

Small Language Models: Survey, Measurements, and Insights. - Zhenyan Lu; Xiang Li 067; Dongqi Cai 001; Rongjie Yi; Fangming Liu; Xiwen Zhang; Nicholas D. Lane; Mengwei Xu (CoRR, 2024)

Photon: Federated LLM Pre-Training. - Lorenzo Sani; Alex Iacob; Zeyu Cao; Royson Lee; Bill Marino; Yan Gao 016; Dongqi Cai 001; Zexi Li; Wanru Zhao; Xinchi Qiu; Nicholas D. Lane (CoRR, 2024)

Accelerating Vertical Federated Learning. - Dongqi Cai 001; Tao Fan 002; Yan Kang 001; Lixin Fan; Mengwei Xu; Shangguang Wang; Qiang Yang 001 (IEEE Trans. Big Data, 2024)

Demystifying Small Language Models for Edge Deployment. - Zhenyan Lu; Xiang Li 067; Dongqi Cai 001; Rongjie Yi; Fangming Liu; Wei Liu 061; Jian Luan 001; Xiwen Zhang; Nicholas D. Lane; Mengwei Xu (ACL (1), 2025)

DEPT: Decoupled Embeddings for Pre-training Language Models. - Alex Iacob; Lorenzo Sani; Meghdad Kurmanji; William F. Shen; Xinchi Qiu; Dongqi Cai 001; Yan Gao 016; Nicholas Donald Lane (ICLR, 2025)

ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents. - Haiyang Shen; Yue Li; Desong Meng; Dongqi Cai 001; Sheng Qi; Li Zhang 133; Mengwei Xu; Yun Ma 002 (ICLR, 2025)

Evidencing Unauthorized Training Data from AI Generated Content using Information Isotopes. - Tao Qi; Jinhua Yin; Dongqi Cai 001; Yueqi Xie; Huili Wang; Hu Zhiyang; Peiru Yang; Guoshun Nan; Zhili Zhou 001; Shangguang Wang; Lingjuan Lyu; Yongfeng Huang 001; et al. (CoRR, 2025)

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? - Zexi Li; Xiangzhu Wang; William F. Shen; Meghdad Kurmanji; Xinchi Qiu; Dongqi Cai 001; Chao Wu; Nicholas D. Lane (CoRR, 2025)

Resource-efficient Algorithms and Systems of Foundation Models: A Survey. - Mengwei Xu; Dongqi Cai 001; Wangsong Yin; Shangguang Wang; Xin Jin 008; Xuanzhe Liu (ACM Comput. Surv., 2025)

MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs. - Zhenyan Lu; Daliang Xu; Dongqi Cai 001; Zexi Li; Wei Liu 061; Fangming Liu; Shangguang Wang; Mengwei Xu (CoRR, 2025)