Fan Lai - RankMe

59 papers A* 7A 1B 2Misc 2Journal 37Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AutoScout: Structured Optimization for Automating ML System Configuration. CoRR Jimmy Shong, Yuhan Ding, Yihan Jiang, Liheng Jing, Haonan Chen, Gaokai Zhang, Aditya Akella, Fan Lai
2026	J	`jnl`	FIITED: Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems. IEEE Trans. Computers Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Shuai Yang, Yuxi Hu, Xuehai Qian
2026	J	`jnl`	PackInfer: Compute- and I/O-Efficient Attention for Batched LLM Inference. CoRR Rui Ning, Wei Zhang, Fan Lai
2026	J	`jnl`	SoundWeaver: Semantic Warm-Starting for Text-to-Audio Diffusion Serving. CoRR Ayush Barik, Sofia Stoica, Nikhil Sarda, Arnav Kethana, Abhinav Khanduja, Muchen Xu, Fan Lai
2026	J	`jnl`	tLoRA: Efficient Multi-LoRA Training with Elastic Shared Super-Models. CoRR Kevin Li, Dibyadeep Saha, Avni Kanodia, Fan Lai
2025	J	`jnl`	Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts. CoRR Haizhong Zheng, Yang Zhou, Brian R. Bartoldson, Bhavya Kailkhura, Fan Lai, Jiawei Zhao, Beidi Chen
2025	J	`jnl`	CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systems. CoRR Yifan Yu, Moyan Li, Shaoyuan Xu, Jinmiao Fu, Xinhai Hou, Fan Lai, Bryan Wang
2025	J	`jnl`	Circinus: Efficient Query Planner for Compound ML Serving. CoRR Banruo Liu, Wei-Yu Lin, Minghao Fang, Yihan Jiang, Fan Lai
2025	J	`jnl`	DiSCo: Device-Server Collaborative LLM-Based Text Streaming Services. CoRR Ting Sun, Penghan Wang, Fan Lai
2025	—	`conf`	DiSCo: Device-Server Collaborative LLM-based Text Streaming Services. ACL (Findings) Ting Sun, Penghan Wang, Fan Lai
2025	J	`jnl`	Dora: QoE-Aware Hybrid Parallelism for Distributed Edge AI. CoRR Jianli Jin, Ziyang Lin, Qianli Dong, Yi Chen, Jayanth Srinivasa, Myungjin Lee, Zhaowei Tan, Fan Lai
2025	J	`jnl`	EchoLM: Accelerating LLM Serving with Real-time Knowledge Distillation. CoRR Yifan Yu, Yu Gan, Lillian Tsai, Nikhil Sarda, Jiaming Shen, Yanqi Zhou, Arvind Krishnamurthy, Fan Lai, Henry M. Levy, David E. Culler
2025	J	`jnl`	HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location. CoRR Ting Sun, Penghan Wang, Fan Lai
2025	A*	`conf`	IC-Cache: Efficient Large Language Model Serving via In-context Caching. SOSP Yifan Yu, Yu Gan, Nikhil Sarda, Lillian Tsai, Jiaming Shen, Yanqi Zhou, Arvind Krishnamurthy, Fan Lai, Hank Levy, David E. Culler
2025	J	`jnl`	Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models. CoRR Haoyi Song, Ruihan Ji, Naichen Shi, Fan Lai, Raed Al Kontar
2025	A*	`conf`	NetZIP: Algorithm/Hardware Co-design of In-network Lossless Compression for Distributed Large Model Training. MICRO Jinghan Huang, Hyungyo Kim, Nachuan Wang, Jaeyoung Kang, Hrishi Shah, Eun Kyung Lee, Minjia Zhang, Fan Lai, Nam Sung Kim
2025	J	`jnl`	OPPO: Accelerating PPO-based RLHF via Pipeline Overlap. CoRR Kaizhuo Yan, Yingjie Yu, Yifan Yu, Haizhong Zheng, Fan Lai
2025	J	`jnl`	Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data. Proc. ACM Manag. Data Kaiqiang Xu, Di Chai, Junxue Zhang, Fan Lai, Kai Chen
2025	J	`jnl`	Single-agent or Multi-agent Systems? Why Not Both? CoRR Mingyan Gao, Yanzi Li, Banruo Liu, Yifan Yu, Phillip Wang, Ching-Yu Lin, Fan Lai
2025	J	`jnl`	Tempo: Application-aware LLM Serving with Mixed SLO Requirements. CoRR Wei Zhang, Zhiyu Wu, Yi Mu, Banruo Liu, Myungjin Lee, Fan Lai
2025	—	`conf`	Towards Fully Disaggregated Recommendation Model Serving. APSys Yibo Huang, Yiming Qiu, Zhenning Yang, Yi Dai, Dingming Wu, Fan Lai, Jiarong Xing, Ang Chen
2025	—	`conf`	Venn: Resource Management For Collaborative Learning Jobs. MLSys Jiachen Liu, Fan Lai, Eric Ding, Yiwen Zhang, Mosharaf Chowdhury
2025	J	`jnl`	XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation. CoRR Udbhav Bamba, Minghao Fang, Yifan Yu, Haizhong Zheng, Fan Lai
2024	J	`jnl`	Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services. CoRR Jiachen Liu, Zhiyu Wu, Jae-Won Chung, Fan Lai, Myungjin Lee, Mosharaf Chowdhury
2024	J	`jnl`	Disaggregating Embedding Recommendation Systems with FlexEMR. CoRR Yibo Huang, Zhenning Yang, Jiarong Xing, Yi Dai, Yiming Qiu, Dingming Wu, Fan Lai, Ang Chen
2024	J	`jnl`	Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification. IEEE Trans Autom. Sci. Eng. Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
2024	—	`conf`	FedTrans: Efficient Federated Learning via Multi-Model Transformation. MLSys Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai
2024	J	`jnl`	FedTrans: Efficient Federated Learning via Multi-Model Transformation. CoRR Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai
2024	J	`jnl`	Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems. CoRR Qinyi Luo, Penghan Wang, Wei Zhang, Fan Lai, Jiachen Mao, Xiaohan Wei, Jun Song, Wei-Yu Tsai, Shuai Yang, Yuxi Hu, Xuehai Qian
2024	A*	`conf`	Learn To be Efficient: Build Structured Sparsity in Large Language Models. NeurIPS Haizhong Zheng, Xiaoyan Bai, Xueshen Liu, Zhuoqing Morley Mao, Beidi Chen, Fan Lai, Atul Prakash
2024	J	`jnl`	Learn To be Efficient: Build Structured Sparsity in Large Language Models. CoRR Haizhong Zheng, Xiaoyan Bai, Beidi Chen, Fan Lai, Atul Prakash
2024	J	`jnl`	Mercury: QoS-Aware Tiered Memory System. CoRR Jiaheng Lu, Yiwen Zhang, Hasan Al Maruf, Minseo Park, Yunxuan Tang, Fan Lai, Mosharaf Chowdhury
2023	A*	`conf`	AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models. OSDI Fan Lai, Wei Zhang, Rui Liu, William Tsai, Xiaohan Wei, Yuxi Hu, Sabin Devkota, Jianyu Huang, Jongsoo Park, Xing Liu, ZeLiang Chen, Ellie Wen, Paul Rivera, Jie You, Chun-cheng Jason Chen, Mosharaf Chowdhury
2023	—	`conf`	Auxo: Efficient Federated Learning via Scalable Client Clustering. SoCC Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury
2023	A*	`conf`	Coverage-centric Coreset Selection for High Pruning Rates. ICLR Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash
2023	A	`conf`	Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing. EuroSys Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury
2023	—	`conf`	Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones. DistributedML@CoNEXT Sanjay Sri Vallabh Singapuram, Chuheng Hu, Fan Lai, Chengsong Zhang, Mosharaf Chowdhury
2023	—	`—`	Minimalist Systems for Pervasive Machine Learning Fan Lai
2023	Misc	`conf`	ModelKeeper: Accelerating DNN Training via Automated Training Warmup. NSDI Fan Lai, Yinwei Dai, Harsha V. Madhyastha, Mosharaf Chowdhury
2023	J	`jnl`	Venn: Resource Management Across Federated Learning Jobs. CoRR Jiachen Liu, Fan Lai, Ding Ding, Yiwen Zhang, Mosharaf Chowdhury
2022	J	`jnl`	Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering. CoRR Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury
2022	J	`jnl`	Coverage-centric Coreset Selection for High Pruning Rates. CoRR Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash
2022	J	`jnl`	Efficient DNN Training with Knowledge-Guided Layer Freezing. CoRR Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury
2022	A*	`conf`	FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. ICML Fan Lai, Yinwei Dai, Sanjay Sri Vallabh Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
2022	J	`jnl`	Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs. CoRR Sanjay Sri Vallabh Singapuram, Fan Lai, Chuheng Hu, Mosharaf Chowdhury
2021	J	`jnl`	Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. CoRR Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
2021	—	`conf`	FedScale: Benchmarking Model and System Performance of Federated Learning. ResilientFL Fan Lai, Yinwei Dai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
2021	J	`jnl`	FedScale: Benchmarking Model and System Performance of Federated Learning. CoRR Fan Lai, Yinwei Dai, Xiangfeng Zhu, Mosharaf Chowdhury
2021	A*	`conf`	Oort: Efficient Federated Learning via Guided Participant Selection. OSDI Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
2020	J	`jnl`	Oort: Informed Participant Selection for Scalable Federated Learning. CoRR Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
2020	Misc	`conf`	Sol: Fast Distributed Computation Over Slow Networks. NSDI Fan Lai, Jie You, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
2018	—	`conf`	To Relay or Not to Relay for Inter-Cloud Transfers? HotCloud Fan Lai, Mosharaf Chowdhury, Harsha V. Madhyastha
2017	J	`jnl`	A Linear Network Code Construction for General Integer Connections Based on the Constraint Satisfaction Problem. IEEE/ACM Trans. Netw. Ying Cui, Muriel Médard, Edmund M. Yeh, Douglas J. Leith, Fan Lai, Ken R. Duffy
2016	B	`conf`	Enhanced VIP Algorithms for Forwarding, Caching, and Congestion Control in Named Data Networks. GLOBECOM Ying Cui, Fan Lai, Edmund M. Yeh, Ran Liu
2016	J	`jnl`	Enhanced VIP Algorithms for Forwarding, Caching, and Congestion Control in Named Data Networks. CoRR Ying Cui, Fan Lai, Edmund M. Yeh, Ran Liu
2016	B	`conf`	Optimal Caching and User Association in Cache-Enabled Heterogeneous Wireless Networks. GLOBECOM Ying Cui, Fan Lai, Stephen V. Hanly, Philip Whiting
2016	J	`jnl`	Optimal Caching and User Association in Cache-enabled Heterogeneous Wireless Networks. CoRR Ying Cui, Fan Lai, Stephen V. Hanly, Philip A. Whiting
2016	—	`conf`	Scaled VIP Algorithms for Joint Dynamic Forwarding and Caching in Named Data Networks. ICN Fan Lai, Feng Qiu, Wenjie Bian, Ying Cui, Edmund M. Yeh
2016	J	`jnl`	Scaled VIP Algorithms for Joint Dynamic Forwarding and Caching in Named Data Networks. CoRR Fan Lai, Feng Qiu, Wenjie Bian, Ying Cui, Edmund M. Yeh