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Scalable Rule-Based Representation Learning for Interpretable Classification

Sep 30, 2021
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang

* Accepted by NeurIPS 2021; Interpretable ML; Neuro-Symbolic AI 

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Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection

Jul 06, 2021
Wenbo Zhang, Ge-Peng Ji, Zhuo Wang, Keren Fu, Qijun Zhao

* accepted in ACM MM 2021 

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Learning to drive via Apprenticeship Learning and Deep Reinforcement Learning

Jan 12, 2020
Wenhui Huang, Francesco Braghin, Zhuo Wang

* 7 pages, 11 figures, conference 

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Transparent Classification with Multilayer Logical Perceptrons and Random Binarization

Dec 10, 2019
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang

* AAAI-20 oral 

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ColluEagle: Collusive review spammer detection using Markov random fields

Nov 05, 2019
Zhuo Wang, Runlong Hu, Qian Chen, Pei Gao, Xiaowei Xu

* 16 pages, 12 figures 

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Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)

Jul 17, 2018
Jungwook Choi, Pierce I-Jen Chuang, Zhuo Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan

* arXiv admin note: substantial text overlap with arXiv:1805.06085 

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PACT: Parameterized Clipping Activation for Quantized Neural Networks

Jul 17, 2018
Jungwook Choi, Zhuo Wang, Swagath Venkataramani, Pierce I-Jen Chuang, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan

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