output
20182026
most citedCOP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

6 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

cs.CL2026

New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs

Shiyao Cui, QingLin Zhang, Di Wang +7

Neologisms, emerging terms in meaning or form, can serve as new vehicles for toxic expression, like "country girl" as a stigmatizing label targeting feminism. Such toxic neologisms…

cs.HC2022★ 4 cited

Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling

Zhaoning Li, Qiaoli Jiang, Zhengming Wu +5

Autonomous cars are indispensable when humans go further down the hands-free route. Although existing literature highlights that the acceptance of the autonomous car will increase…

cs.CV2019★ 6 cited

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

Wenxiao Wang, Cong Fu, Jishun Guo +2

Neural network compression empowers the effective yet unwieldy deep convolutional neural networks (CNN) to be deployed in resource-constrained scenarios. Most state-of-the-art appr…

cs.CV2018

Two-stage iterative Procrustes match algorithm and its application for VQ-based speaker verification

Richeng Tan, Jing Li

In the past decades, Vector Quantization (VQ) model has been very popular across different pattern recognition areas, especially for feature-based tasks. However, the classificatio…