Sixing Yu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Transfer Learning

Graph Embedding

Neural Architecture

Top Venues

Publications

Sixing Yu, Juan Pablo Muñoz, Ali Jannesari
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. LREC/COLING (2024)
Branden Butler, Sixing Yu, Arya Mazaheri, Ali Jannesari
PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. CoRR (2024)
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
The Landscape and Challenges of HPC Research and LLMs. CoRR (2024)
Duy Phuong Nguyen, Sixing Yu, J. Pablo Muñoz, Ali Jannesari
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. SC Workshops (2023)
Sixing Yu, J. Pablo Muñoz, Ali Jannesari
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning. CoRR (2023)
Sixing Yu, J. Pablo Muñoz, Ali Jannesari
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. CoRR (2023)
Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. CCGrid (2023)
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. SC (2022)
Sixing Yu, Arya Mazaheri, Ali Jannesari
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. ICML (2022)
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, Pablo Munoz, Ali Jannesari
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search. CoRR (2022)
Sixing Yu, Wei Qian, Ali Jannesari
Resource-aware Federated Learning using Knowledge Extraction and Multi-model Fusion. CoRR (2022)
Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Ali Jannesari
Towards Seamless Management of AI Models in High-Performance Computing. CoRR (2022)
Sixing Yu, Arya Mazaheri, Ali Jannesari
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. CoRR (2021)
Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
Adaptive Dynamic Pruning for Non-IID Federated Learning. CoRR (2021)
Sixing Yu, Arya Mazaheri, Ali Jannesari
Auto Graph Encoder-Decoder for Neural Network Pruning. ICCV (2021)
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. CoRR (2021)
Sixing Yu, Arya Mazaheri, Ali Jannesari
Auto Graph Encoder-Decoder for Model Compression and Network Acceleration. CoRR (2020)