4 citations · 7 across the 4 of their papers we have counts for
4 papers
Knowledge-informed Bidding with Dual-process Control for Online Advertising
Huixiang Luo, Longyu Gao, Yaqi Liu +3
Bid optimization in online advertising relies on black-box machine-learning models that learn bidding decisions from historical data. However, these approaches fail to replicate hu…
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
Huixiang Luo, Hao Cheng, Fanxu Meng +4
Pseudo-labeling (PL) and Data Augmentation-based Consistency Training (DACT) are two approaches widely used in Semi-Supervised Learning (SSL) methods. These methods exhibit great p…
Pruning Filter in Filter
Fanxu Meng, Hao Cheng, Ke Li +4
Pruning has become a very powerful and effective technique to compress and accelerate modern neural networks. Existing pruning methods can be grouped into two categories: filter pr…
Filter Grafting for Deep Neural Networks: Reason, Method, and Cultivation
Hao Cheng, Fanxu Meng, Ke Li +4
Filter is the key component in modern convolutional neural networks (CNNs). However, since CNNs are usually over-parameterized, a pre-trained network always contain some invalid (u…