most citedAccurate and efficient predictions of keyhole dynamics in laser materials processing using machine learning-aided simulations

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2026

Prox: Training-Free FFN Activation Sparsity via Approximate Intermediate-Channel Salience in LLMs

Jinyi Liu, Wei Chen, Pengyu Chen +4

Feed-forward networks (FFNs) dominate memory traffic and computation in large language model (LLM) inference, making them a primary target for activation sparsification. However, e…

cond-mat.mtrl-sci2024★ 11 cited

Accurate and efficient predictions of keyhole dynamics in laser materials processing using machine learning-aided simulations

Jiahui Zhang, Runbo Jiang, Kangming Li +11

The keyhole phenomenon has been widely observed in laser materials processing, including laser welding, remelting, cladding, drilling, and additive manufacturing. Keyhole-induced d…