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Ke Tang

GloDyNE: Global Topology Preserving Dynamic Network Embedding

Aug 05, 2020
Chengbin Hou, Han Zhang, Shan He, Ke Tang

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* Major revision, TKDE

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Few-shots Parameter Tuning via Co-evolution

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

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On Performance Estimation in Automatic Algorithm Configuration

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

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* accepted by AAAI 2020

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Negatively Correlated Search as a Parallel Exploration Search Strategy

Oct 16, 2019
Peng Yang, Ke Tang, Xin Yao

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Competitive Co-evolution for Dynamic Constrained Optimisation

Jul 31, 2019
Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao

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DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Jul 27, 2019
Chengbin Hou, Han Zhang, Ke Tang, Shan He

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* 14 pages, 7 figures, 5 tables

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AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks

Jul 24, 2019
Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu, Zhang Xiong

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* Accepted for POSTER presentation at KDD2019 Applied Data Science Track

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Running Time Analysis of the (1+1)-EA for Robust Linear Optimization

Jun 17, 2019
Chao Bian, Chao Qian, Ke Tang

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* 17 pages, 1 table

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Decision Making with Machine Learning and ROC Curves

May 05, 2019
Kai Feng, Han Hong, Ke Tang, Jingyuan Wang

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Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions

Mar 10, 2019
Yunwen Lei, Ting Hu, Guiying Li, Ke Tang

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