Learning-driven Physically-aware Large-scale Circuit Gate Sizing

no code implementations • 13 Mar 2024 • Yuyang Ye, Peng Xu, Lizheng Ren, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi

Gate sizing plays an important role in timing optimization after physical design.

Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction

2 code implementations • KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2023 • Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen

Inspired by natural evolution, we propose a general Cognitive EvoLutionary Search (CELS) framework, where cognitive ability refers to the malleability of organisms to orientate to the environment.

Click-Through Rate Prediction Evolutionary Algorithms +4

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction

1 code implementation • 22 Apr 2021 • Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen

Motivated by this, we propose a novel Extreme Cross Network, abbreviated XCrossNet, which aims at learning dense and sparse feature interactions in an explicit manner.

Click-Through Rate Prediction Feature Engineering +1

Long-term Joint Scheduling for Urban Traffic

1 code implementation • 27 Oct 2019 • Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen

Recently, the traffic congestion in modern cities has become a growing worry for the residents.

Scheduling