Sean Lie - RankMe

24 papers A* 3A 1Journal 12Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language Models. EMNLP (Findings) Mugilan Ganesan, Shane Segal, Ankur Aggarwal, Nish Sinnadurai, Sean Lie, Vithursan Thangarasa
2025	J	`jnl`	MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language Models. CoRR Mugilan Ganesan, Shane Segal, Ankur Aggarwal, Nish Sinnadurai, Sean Lie, Vithursan Thangarasa
2025	J	`jnl`	REAP the Experts: Why Pruning Prevails for One-Shot MoE compression. CoRR Mike Lasby, Ivan Lazarevich, Nish Sinnadurai, Sean Lie, Yani Ioannou, Vithursan Thangarasa
2025	J	`jnl`	SD CoRR Mike Lasby, Nish Sinnadurai, Valavan Manohararajah, Sean Lie, Vithursan Thangarasa
2025	—	`conf`	Self-Data Distillation for Recovering Quality in Pruned Large Language Models. MLSys Vithursan Thangarasa, Ganesh Venkatesh, Mike Lasby, Nish Sinnadurai, Sean Lie
2025	J	`jnl`	TapOut: A Bandit-Based Approach to Dynamic Speculative Decoding. CoRR Aditya Sridhar, Nish Sinnadurai, Sean Lie, Vithursan Thangarasa
2024	J	`jnl`	Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment. CoRR Abhinav Agarwalla, Abhay Gupta, Alexandre Noll Marques, Shubhra Pandit, Michael Goin, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz
2024	J	`jnl`	Inside the Cerebras Wafer-Scale Cluster. IEEE Micro Sean Lie
2024	—	`conf`	MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. ACL (Findings) Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Chen-Yu Leong, Joel Hestness, Sean Lie
2024	J	`jnl`	MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. CoRR Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong, Joel Hestness, Sean Lie
2024	J	`jnl`	Self-Data Distillation for Recovering Quality in Pruned Large Language Models. CoRR Vithursan Thangarasa, Ganesh Venkatesh, Nish Sinnadurai, Sean Lie
2024	A*	`conf`	Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. ICML Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta, Sean Lie
2024	—	`conf`	Wafer-Scale AI: GPU Impossible Performance. HCS Sean Lie
2023	J	`jnl`	Cerebras Architecture Deep Dive: First Look Inside the Hardware/Software Co-Design for Deep Learning. IEEE Micro Sean Lie
2023	—	`conf`	Inside the Cerebras Wafer-Scale Cluster: Cerebras Systems. HCS Sean Lie
2023	A	`conf`	SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. UAI Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena
2023	J	`jnl`	SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. CoRR Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena
2023	J	`jnl`	Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. CoRR Shreyas Saxena, Vithursan Thangarasa, Abhay Gupta, Sean Lie
2022	—	`conf`	Cerebras Architecture Deep Dive: First Look Inside the HW/SW Co-Design for Deep Learning : Cerebras Systems. HCS Sean Lie
2021	—	`conf`	Multi-Million Core, Multi-Wafer AI Cluster. HCS Sean Lie
2013	A*	`conf`	A novel system architecture for web scale applications using lightweight CPUs and virtualized I/O. HPCA Kshitij Sudan, Saisanthosh Balakrishnan, Sean Lie, Min Xu, Dhiraj Mallick, Gary Lauterbach, Rajeev Balasubramonian
2011	—	`conf`	SeaMicro SM10000-64 server: Building datacenter servers using cell phone chips. Hot Chips Symposium Ashutosh Dhodapkar, Gary Lauterbach, Sean Lie, Dhiraj Mallick, Jim Bauman, Sundar Kanthadai, Toru Kuzuhara, Gene Shen, Min Xu, Chris Zhang
2006	J	`jnl`	Unbounded Transactional Memory. IEEE Micro C. Scott Ananian, Krste Asanovic, Bradley C. Kuszmaul, Charles E. Leiserson, Sean Lie
2005	A*	`conf`	Unbounded Transactional Memory. HPCA C. Scott Ananian, Krste Asanovic, Bradley C. Kuszmaul, Charles E. Leiserson, Sean Lie