1.3k citations · 1.5k across the 3 of their papers we have counts for
3 papers
cs.CL2020★ 222 cited
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Hanrui Wang, Zhanghao Wu, Zhijian Liu +4
Transformers are ubiquitous in Natural Language Processing (NLP) tasks, but they are difficult to be deployed on hardware due to the intensive computation. To enable low-latency in…
cs.LG2018★ 26 cited
Learning to Design Circuits
Hanrui Wang, Jiacheng Yang, Hae-Seung Lee +1
Analog IC design relies on human experts to search for parameters that satisfy circuit specifications with their experience and intuitions, which is highly labor intensive, time co…
cs.CV2018★ 1.3k cited
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He, Ji Lin, Zhijian Liu +3
Model compression is a critical technique to efficiently deploy neural network models on mobile devices which have limited computation resources and tight power budgets. Convention…