Sixing Yu - RankMe

23 papers A* 2A 3B 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks. CoRR Abdullah Al Asif, Sixing Yu, Juan Pablo Muñoz, Arya Mazaheri, Ali Jannesari
2025	J	`jnl`	PerfMamba: Performance Analysis and Pruning of Selective State Space Models. CoRR Abdullah Al Asif, Mobina Kashaniyan, Sixing Yu, Juan Pablo Muñoz, Ali Jannesari
2025	J	`jnl`	SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization. CoRR Waqwoya Abebe, Sadegh Jafari, Sixing Yu, Akash Dutta, Jan Strube, Nathan R. Tallent, Luanzheng Guo, J. Pablo Muñoz, Ali Jannesari
2025	A	`conf`	Weight-Sharing NAS with Architecture-Agnostic Intermediate Representation. HPDC Sixing Yu, Arya Mazaheri, Ali Jannesari
2024	—	`conf`	Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. LREC/COLING Sixing Yu, Juan Pablo Muñoz, Ali Jannesari
2024	A	`conf`	PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. SC Branden Butler, Sixing Yu, Arya Mazaheri, Ali Jannesari
2024	J	`jnl`	PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. CoRR Branden Butler, Sixing Yu, Arya Mazaheri, Ali Jannesari
2024	—	`conf`	Resource-Aware Heterogeneous Federated Learning with Specialized Local Models. Euro-Par (1) Sixing Yu, J. Pablo Muñoz, Ali Jannesari
2024	J	`jnl`	The Landscape and Challenges of HPC Research and LLMs. CoRR Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari
2023	J	`jnl`	Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning. CoRR Sixing Yu, J. Pablo Muñoz, Ali Jannesari
2023	—	`conf`	Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. SC Workshops Duy Phuong Nguyen, Sixing Yu, J. Pablo Muñoz, Ali Jannesari
2023	J	`jnl`	Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. CoRR Sixing Yu, J. Pablo Muñoz, Ali Jannesari
2023	B	`conf`	Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. CCGrid Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
2022	J	`jnl`	Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search. CoRR Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, J. Pablo Muñoz, Ali Jannesari
2022	J	`jnl`	Resource-aware Federated Learning using Knowledge Extraction and Multi-model Fusion. CoRR Sixing Yu, Wei Qian, Ali Jannesari
2022	A	`conf`	SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. SC Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari
2022	A*	`conf`	Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. ICML Sixing Yu, Arya Mazaheri, Ali Jannesari
2022	J	`jnl`	Towards Seamless Management of AI Models in High-Performance Computing. CoRR Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Ali Jannesari
2021	J	`jnl`	Adaptive Dynamic Pruning for Non-IID Federated Learning. CoRR Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
2021	A*	`conf`	Auto Graph Encoder-Decoder for Neural Network Pruning. ICCV Sixing Yu, Arya Mazaheri, Ali Jannesari
2021	J	`jnl`	GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. CoRR Sixing Yu, Arya Mazaheri, Ali Jannesari
2021	J	`jnl`	SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. CoRR Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari
2020	J	`jnl`	Auto Graph Encoder-Decoder for Model Compression and Network Acceleration. CoRR Sixing Yu, Arya Mazaheri, Ali Jannesari