4 citations · 12 across the 12 of their papers we have counts for
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cs.LG2025
Adacc: An Adaptive Framework Unifying Compression and Activation Recomputation for LLM Training
Ping Chen, Zhuohong Deng, Ping Li +6
Training large language models (LLMs) is often constrained by GPU memory limitations. To alleviate memory pressure, activation recomputation and data compression have been proposed…
cs.LG2025★ 1 cited
Saga: Capturing Multi-granularity Semantics from Massive Unlabelled IMU Data for User Perception
Yunzhe Li, Facheng Hu, Hongzi Zhu +4
Inertial measurement units (IMUs), have been prevalently used in a wide range of mobile perception applications such as activity recognition and user authentication, where a large…
cs.AI2025
Prism: Mining Task-aware Domains in Non-i.i.d. IMU Data for Flexible User Perception
Yunzhe Li, Facheng Hu, Hongzi Zhu +5
A wide range of user perception applications leverage inertial measurement unit (IMU) data for online prediction. However, restricted by the non-i.i.d. nature of IMU data collected…