16 citations · 28 across the 6 of their papers we have counts for
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cs.LG2026
How to Compress KV Cache in RL Post-Training? Shadow Mask Distillation for Memory-Efficient Alignment
Rui Zhu, Weiheng Bai, Qiushi Wu +3
Reinforcement Learning (RL) has emerged as a crucial paradigm for unlocking the advanced reasoning capabilities of Large Language Models (LLMs), encompassing frameworks like RLHF a…
cs.LG2022★ 16 cited
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models
Rui Zhu, Di Tang, Siyuan Tang +2
In this paper, we present a simple yet surprisingly effective technique to induce "selective amnesia" on a backdoored model. Our approach, called SEAM, has been inspired by the pro…
cs.LG2020★ 1 cited
Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations
Rui Zhu, Bo Lin, Haixu Tang
The number of linear regions is one of the distinct properties of the neural networks using piecewise linear activation functions such as ReLU, comparing with those conventional on…