Scaled VIP Algorithms for Joint Dynamic Forwarding and Caching in Named Data Networks. - Fan Lai 001; Feng Qiu; Wenjie Bian; Ying Cui 001; Edmund M. Yeh (ICN, 2016)

Optimal Caching and User Association in Cache-Enabled Heterogeneous Wireless Networks. - Ying Cui 001; Fan Lai 001; Stephen V. Hanly; Philip Whiting (GLOBECOM, 2016)

Enhanced VIP Algorithms for Forwarding, Caching, and Congestion Control in Named Data Networks. - Ying Cui 001; Fan Lai 001; Edmund M. Yeh; Ran Liu 010 (GLOBECOM, 2016)

A Linear Network Code Construction for General Integer Connections Based on the Constraint Satisfaction Problem. - Ying Cui 001; Muriel Médard; Edmund M. Yeh; Douglas J. Leith; Fan Lai 001; Ken R. Duffy (IEEE/ACM Trans. Netw., 2017)

To Relay or Not to Relay for Inter-Cloud Transfers? - Fan Lai 001; Mosharaf Chowdhury; Harsha V. Madhyastha (HotCloud, 2018)

Sol: Fast Distributed Computation Over Slow Networks. - Fan Lai 001; Jie You; Xiangfeng Zhu; Harsha V. Madhyastha; Mosharaf Chowdhury (NSDI, 2020)

Oort: Informed Participant Selection for Scalable Federated Learning. - Fan Lai 001; Xiangfeng Zhu; Harsha V. Madhyastha; Mosharaf Chowdhury (CoRR, 2020)

Oort: Efficient Federated Learning via Guided Participant Selection. - Fan Lai 001; Xiangfeng Zhu; Harsha V. Madhyastha; Mosharaf Chowdhury (OSDI, 2021)

FedScale: Benchmarking Model and System Performance of Federated Learning. - Fan Lai 001; Yinwei Dai; Xiangfeng Zhu; Harsha V. Madhyastha; Mosharaf Chowdhury (ResilientFL, 2021)

FedScale: Benchmarking Model and System Performance of Federated Learning. - Fan Lai 001; Yinwei Dai; Xiangfeng Zhu; Mosharaf Chowdhury (CoRR, 2021)

Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. - Naichen Shi; Fan Lai 001; Raed Al Kontar; Mosharaf Chowdhury (CoRR, 2021)

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. - Fan Lai 001; Yinwei Dai; Sanjay Sri Vallabh Singapuram; Jiachen Liu; Xiangfeng Zhu; Harsha V. Madhyastha; Mosharaf Chowdhury (ICML, 2022)

Efficient DNN Training with Knowledge-Guided Layer Freezing. - Yiding Wang; Decang Sun; Kai Chen 005; Fan Lai 001; Mosharaf Chowdhury (CoRR, 2022)

Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs. - Sanjay Sri Vallabh Singapuram; Fan Lai 001; Chuheng Hu; Mosharaf Chowdhury (CoRR, 2022)

Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering. - Jiachen Liu; Fan Lai 001; Yinwei Dai; Aditya Akella; Harsha V. Madhyastha; Mosharaf Chowdhury (CoRR, 2022)

Auxo: Efficient Federated Learning via Scalable Client Clustering. - Jiachen Liu; Fan Lai 001; Yinwei Dai; Aditya Akella; Harsha V. Madhyastha; Mosharaf Chowdhury (SoCC, 2023)

Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones. - Sanjay Sri Vallabh Singapuram; Chuheng Hu; Fan Lai 001; Chengsong Zhang; Mosharaf Chowdhury (DistributedML@CoNEXT, 2023)

Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing. - Yiding Wang; Decang Sun; Kai Chen 005; Fan Lai 001; Mosharaf Chowdhury (EuroSys, 2023)

Coverage-centric Coreset Selection for High Pruning Rates. - Haizhong Zheng; Rui Liu; Fan Lai 001; Atul Prakash 001 (ICLR, 2023)

ModelKeeper: Accelerating DNN Training via Automated Training Warmup. - Fan Lai 001; Yinwei Dai; Harsha V. Madhyastha; Mosharaf Chowdhury (NSDI, 2023)

AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models. - Fan Lai 001; Wei Zhang; Rui Liu; William Tsai; Xiaohan Wei; Yuxi Hu 001; Sabin Devkota; Jianyu Huang; Jongsoo Park; Xing Liu; Zeliang Chen; Ellie Wen; et al. (OSDI, 2023)

Venn: Resource Management Across Federated Learning Jobs. - Jiachen Liu; Fan Lai 001; Ding Ding 005; Yiwen Zhang 008; Mosharaf Chowdhury (CoRR, 2023)

Minimalist Systems for Pervasive Machine Learning - Fan Lai 001 (2023)

FedTrans: Efficient Federated Learning via Multi-Model Transformation. - Yuxuan Zhu; Jiachen Liu; Mosharaf Chowdhury; Fan Lai 001 (MLSys, 2024)

Learn To be Efficient: Build Structured Sparsity in Large Language Models. - Haizhong Zheng; Xiaoyan Bai; Xueshen Liu; Zhuoqing Morley Mao; Beidi Chen; Fan Lai 001; Atul Prakash 001 (NeurIPS, 2024)

Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems. - Qinyi Luo; Penghan Wang; Wei Zhang; Fan Lai 001; Jiachen Mao; Xiaohan Wei; Jun Song; Wei-Yu Tsai; Shuai Yang; Yuxi Hu 001; Xuehai Qian (CoRR, 2024)

Learn To be Efficient: Build Structured Sparsity in Large Language Models. - Haizhong Zheng; Xiaoyan Bai; Beidi Chen; Fan Lai 001; Atul Prakash 001 (CoRR, 2024)

Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services. - Jiachen Liu; Zhiyu Wu; Jae-Won Chung; Fan Lai 001; Myungjin Lee; Mosharaf Chowdhury (CoRR, 2024)

Disaggregating Embedding Recommendation Systems with FlexEMR. - Yibo Huang 005; Zhenning Yang; Jiarong Xing; Yi Dai; Yiming Qiu; Dingming Wu 002; Fan Lai 001; Ang Chen 001 (CoRR, 2024)

Mercury: QoS-Aware Tiered Memory System. - Jiaheng Lu; Yiwen Zhang 008; Hasan Al Maruf; Minseo Park; Yunxuan Tang; Fan Lai 001; Mosharaf Chowdhury (CoRR, 2024)

Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification. - Naichen Shi; Fan Lai 001; Raed Al Kontar; Mosharaf Chowdhury (IEEE Trans Autom. Sci. Eng., 2024)

DiSCo: Device-Server Collaborative LLM-based Text Streaming Services. - Ting Sun; Penghan Wang; Fan Lai 001 (ACL (Findings), 2025)

EchoLM: Accelerating LLM Serving with Real-time Knowledge Distillation. - Yifan Yu; Yu Gan; Lillian Tsai; Nikhil Sarda; Jiaming Shen; Yanqi Zhou; Arvind Krishnamurthy; Fan Lai 001; Henry M. Levy; David E. Culler (CoRR, 2025)

HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location. - Ting Sun; Penghan Wang; Fan Lai 001 (CoRR, 2025)

Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data. - Kaiqiang Xu; Di Chai; Junxue Zhang 001; Fan Lai 001; Kai Chen 005 (Proc. ACM Manag. Data, 2025)

Circinus: Efficient Query Planner for Compound ML Serving. - Banruo Liu; Wei-Yu Lin; Minghao Fang; Yihan Jiang; Fan Lai 001 (CoRR, 2025)

Tempo: Application-aware LLM Serving with Mixed SLO Requirements. - Wei Zhang; Zhiyu Wu; Yi Mu 005; Banruo Liu; Myungjin Lee; Fan Lai 001 (CoRR, 2025)

Single-agent or Multi-agent Systems? Why Not Both? - Mingyan Gao; Yanzi Li; Banruo Liu; Yifan Yu; Phillip Wang; Ching-Yu Lin; Fan Lai 001 (CoRR, 2025)

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts. - Haizhong Zheng; Yang Zhou; Brian R. Bartoldson; Bhavya Kailkhura; Fan Lai 001; Jiawei Zhao; Beidi Chen (CoRR, 2025)

Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models. - Haoyi Song; Ruihan Ji; Naichen Shi; Fan Lai 001; Raed Al Kontar (CoRR, 2025)