Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Shengcai Liu

Training Quantized Deep Neural Networks via Cooperative Coevolution


Dec 23, 2021
Fu Peng, Shengcai Liu, Ke Tang


  Access Paper or Ask Questions

HydraText: Multi-objective Optimization for Adversarial Textual Attack


Nov 02, 2021
Shengcai Liu, Ning Lu, Cheng Chen, Chao Qian, Ke Tang


  Access Paper or Ask Questions

Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack


Sep 06, 2021
Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang


  Access Paper or Ask Questions

A New Knowledge Gradient-based Method for Constrained Bayesian Optimization


Jan 20, 2021
Wenjie Chen, Shengcai Liu, Ke Tang

* 14 pages, 0 figures 

  Access Paper or Ask Questions

Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows


Nov 19, 2020
Shengcai Liu, Ke Tang, Xin Yao


  Access Paper or Ask Questions

Few-shots Parameter Tuning via Co-evolution


Jul 01, 2020
Ke Tang, Shengcai Liu, Peng Yang, Xin Yao


  Access Paper or Ask Questions

Leveraging TSP Solver Complementarity via Deep Learning


Jun 01, 2020
Kangfei Zhao, Shengcai Liu, Yu Rong, Jeffrey Xu Yu


  Access Paper or Ask Questions

On Performance Estimation in Automatic Algorithm Configuration


Nov 19, 2019
Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao

* accepted by AAAI 2020 

  Access Paper or Ask Questions

Automatic Construction of Parallel Portfolios via Explicit Instance Grouping


Apr 17, 2018
Shengcai Liu, Ke Tang, Xin Yao


  Access Paper or Ask Questions

Experience-based Optimization: A Coevolutionary Approach


Apr 17, 2018
Shengcai Liu, Ke Tang, Xin Yao


  Access Paper or Ask Questions