3 citations · 5 across the 11 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.DC2024
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
Xin Ai, Hao Yuan, Zeyu Ling +6
Graph neural networks (GNNs) have emerged as a promising direction. Training large-scale graphs that relies on distributed computing power poses new challenges. Existing distribute…
cs.CV2024
VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension
Zeyu Ling, Bo Han, Shiyang Li +3
Large language models (LLMs) are, by design, inherently capable of multi-task learning: through a unified next-token prediction paradigm, they can naturally address a wide variety…
cs.CV2024★ 1 cited
MCM: Multi-condition Motion Synthesis Framework
Zeyu Ling, Bo Han, Yongkang Wongkan +3
Conditional human motion synthesis (HMS) aims to generate human motion sequences that conform to specific conditions. Text and audio represent the two predominant modalities employ…