Ke Tang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 209

Top Venues

CoRR

IEEE Trans. Evol. Comput.

IJCAI

CEC

Publications

Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. CoRR (2024)
Lang Feng, Wenjian Liu, Chuliang Guo, Ke Tang, Cheng Zhuo, Zhongfeng Wang
GANDSE: Generative Adversarial Network-based Design Space Exploration for Neural Network Accelerator Design. ACM Trans. Design Autom. Electr. Syst. 28 (3) (2023)
Xiaoyue Luo, Yanhui Wang, Junwu Dong, Zhanxing Li, Yang Yang, Ke Tang, Tao Huang
Complete trajectory extraction for moving targets in traffic scenes that considers multi-level semantic features. Int. J. Geogr. Inf. Sci. 37 (4) (2023)
Lin William Cong, Xi Li, Ke Tang, Yang Yang
Crypto Wash Trading. Manag. Sci. 69 (11) (2023)
Ke Tang, Lan Cheng, Xiao Wang, Chenqiang Pan, Liang Lin, Li Dong, Bo Li
Research on Digital Monitoring Technology for Airport High-Pressure Rotary Jet Piles. IEEE Access 11 (2023)
Ke Tang, Sidun Fang, Guanhong Chen, Tao Niu
Unit Maintenance Strategy Considering the Uncertainty of Energy Intensive Load and Wind Power Under the Carbon Peak and Carbon Neutral Target. IEEE Access 11 (2023)
Zhenwei Zhang, Haorui Yan, Ke Tang, Yuping Duan
MetaUE: Model-based Meta-learning for Underwater Image Enhancement. CoRR (2023)
Ke Tang, Xiuxiu Hu, Pingsheng Chen, Siyu Xia
Fibrosis Grading Methods for Renal Whole Slide Images Based on Uncertainty Estimation. ACPR (2) (2023)
Xiao Wang, Ke Tang, Xingyuan Dai, Jintao Xu, Jinhao Xi, Rui Ai, Yuxiao Wang, Weihao Gu, Changyin Sun
Safety-Balanced Driving-Style Aware Trajectory Planning in Intersection Scenarios With Uncertain Environment. IEEE Trans. Intell. Veh. 8 (4) (2023)
Kai Feng, Han Hong, Ke Tang, Jingyuan Wang
Statistical Tests for Replacing Human Decision Makers with Algorithms. CoRR (2023)
Yigong Pan, Ke Tang, Guangzhong Sun
Theoretical guarantee for crowdsourcing learning with unsure option. Pattern Recognit. 137 (2023)
Songling Zhu, Ronghua Shang, Ke Tang, Songhua Xu, Yangyang Li
BookKD: A novel knowledge distillation for reducing distillation costs by decoupling knowledge generation and learning. Knowl. Based Syst. 279 (2023)
Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. IEEE Trans. Evol. Comput. 26 (3) (2022)
Zhi-Zhong Liu, Bing-Chuan Wang, Ke Tang
Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution. IEEE Trans. Cybern. 52 (10) (2022)
Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. CoRR (2022)
Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. 23 (2) (2022)
Chengbin Hou, Han Zhang, Shan He, Ke Tang
GloDyNE: Global Topology Preserving Dynamic Network Embedding (Extended Abstract). ICDE (2022)
Tao Sun, Ke Tang, Dongsheng Li
Gradient Descent Learning With Floats. IEEE Trans. Cybern. 52 (3) (2022)
Ze-yu Dai, Shengcai Liu, Ke Tang, Qing Li
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack. CoRR (2022)
Dongbin Jiao, Lingyu Wanga, Peng Yang, Weibo Yang, Yu Peng, Zhanhuan Shang, Ke Tang, Fengyuan Ren
Near-Optimal Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration. CoRR (2022)
Wenjian Luo, Hongwei Zhang, Linghao Kong, Zhijian Chen, Ke Tang
Defending Adversarial Examples by Negative Correlation Ensemble. CoRR (2022)
Chengbin Hou, Han Zhang, Shan He, Ke Tang
GloDyNE: Global Topology Preserving Dynamic Network Embedding. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Jinlong Liu, Junjian Chen, Dehong Liu, Liang Hu, Jun Li, Gang Chen, Jun Li, Ke Tang
Research on High Performance Domestic Chip Architecture Based on Digital Grid Edge Computing. CSSE (2022)
Chunyan Zhang, Junchao Wang, Qinglei Zhou, Ting Xu, Ke Tang, Hairen Gui, Fudong Liu
A Survey of Automatic Source Code Summarization. Symmetry 14 (3) (2022)
Yu Cong, Ximeng Zhao, Ke Tang, Ge Wang, Yanfei Hu, Yingkui Jiao
FA-LSTM: A Novel Toxic Gas Concentration Prediction Model in Pollutant Environment. IEEE Access 10 (2022)
Fu Peng, Shengcai Liu, Ning Lu, Ke Tang
Training Quantized Deep Neural Networks via Cooperative Coevolution. ICSI (2) (2022)
Shengcai Liu, Ke Tang, Xin Yao
Generative Adversarial Construction of Parallel Portfolios. IEEE Trans. Cybern. 52 (2) (2022)
Wenjian Luo, Hongwei Zhang, Linghao Kong, Zhijian Chen, Ke Tang
Defending Adversarial Examples by Negative Correlation Ensemble. DMBD (2) (2022)
Shengcai Liu, Yu Zhang, Ke Tang, Xin Yao
How Good Is Neural Combinatorial Optimization? CoRR (2022)
Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang
Efficient Combinatorial Optimization for Word-Level Adversarial Textual Attack. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Peng Yang, Hu Zhang, Yanglong Yu, Mingjia Li, Ke Tang
Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search. Swarm Evol. Comput. 68 (2022)
Chunyan Zhang, Qinglei Zhou, Meng Qiao, Ke Tang, Lianqiu Xu, Fudong Liu
Re_Trans: Combined Retrieval and Transformer Model for Source Code Summarization. Entropy 24 (10) (2022)
Lang Feng, Wenjian Liu, Chuliang Guo, Ke Tang, Cheng Zhuo, Zhongfeng Wang
GANDSE: Generative Adversarial Network based Design Space Exploration for Neural Network Accelerator Design. CoRR (2022)
Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang
Disentangled Contrastive Learning for Social Recommendation. CIKM (2022)
Biyue Li, Wenbo Du, Yu Zhang, Jun Chen, Ke Tang, Xianbin Cao
A Deep Unsupervised Learning Approach for Airspace Complexity Evaluation. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang
Disentangled Contrastive Learning for Social Recommendation. CoRR (2022)
Yunwen Lei, Ting Hu, Ke Tang
Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions. J. Mach. Learn. Res. 22 (2021)
Yunwen Lei, Ke Tang
Learning Rates for Stochastic Gradient Descent With Nonconvex Objectives. IEEE Trans. Pattern Anal. Mach. Intell. 43 (12) (2021)
Qi Yang, Peng Yang, Ke Tang
Parallel Random Embedding with Negatively Correlated Search. ICSI (2) (2021)
Lin William Cong, Ke Tang, Jingyuan Wang, Yang Zhang
Deep Sequence Modeling: Development and Applications in Asset Pricing. CoRR (2021)
Shengcai Liu, Ning Lu, Cheng Chen, Chao Qian, Ke Tang
HydraText: Multi-objective Optimization for Adversarial Textual Attack. CoRR (2021)
Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang
Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences. CoRR (2021)
Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
Analysis of Noisy Evolutionary Optimization When Sampling Fails. Algorithmica 83 (4) (2021)
Bo Yuan, Xiaofen Lu, Ke Tang, Xin Yao
Cooperative Coevolution-based Design Space Exploration for Multi-mode Dataflow Mapping. ACM Trans. Embed. Comput. Syst. 20 (3) (2021)
Ke Tang, Jing Xu Ding, Mei Jian Lei, Zhen Zeng, Jun Di Guo, Qiu Ling Zeng
An Electromagnetic Immunity Test Scheme for Vehicle Audio System. IEEA (2021)
Chao Bian, Chao Qian, Yang Yu, Ke Tang
On the robustness of median sampling in noisy evolutionary optimization. Sci. China Inf. Sci. 64 (5) (2021)
Peng Yang, Qi Yang, Ke Tang, Xin Yao
Parallel exploration via negatively correlated search. Frontiers Comput. Sci. 15 (5) (2021)
Ke Tang, Fudong Liu, Zheng Shan, Chunyan Zhang
Anti-obfuscation Binary Code Clone Detection Based on Software Gene. ICPCSEE (1) (2021)
Rui He, Shan He, Ke Tang
Multi-Domain Active Learning: A Comparative Study. CoRR (2021)
Lin William Cong, Ke Tang, Bing Wang, Jingyuan Wang
An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States. CoRR (2021)
Ke Tang, Shengcai Liu, Peng Yang, Xin Yao
Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution. IEEE Trans. Evol. Comput. 25 (3) (2021)
Minshi Chen, Jianxun Chen, Peng Yang, Shengcai Liu, Ke Tang
A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking. Multim. Tools Appl. 80 (20) (2021)
Jialin Liu, Ke Tang, Xin Yao
Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article]. IEEE Comput. Intell. Mag. 16 (1) (2021)
Liang Feng, Yuxiao Huang, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Ke Tang, Kay Chen Tan
Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. 51 (6) (2021)
Wenjing Hong, Peng Yang, Ke Tang
Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses. Int. J. Autom. Comput. 18 (2) (2021)
Yu Zhang, Peter Tiño, Ales Leonardis, Ke Tang
A Survey on Neural Network Interpretability. IEEE Trans. Emerg. Top. Comput. Intell. 5 (5) (2021)
Lin William Cong, Xi Li, Ke Tang, Yang Yang
Detecting and Quantifying Crypto Wash Trading (Extended Abstract). Tokenomics (2021)
Wenjing Hong, Chao Qian, Ke Tang
Efficient Minimum Cost Seed Selection With Theoretical Guarantees for Competitive Influence Maximization. IEEE Trans. Cybern. 51 (12) (2021)
Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack. CoRR (2021)
Ze-yu Dai, Wei Fang, Ke Tang, Qing Li
An optima-identified framework with brain storm optimization for multimodal optimization problems. Swarm Evol. Comput. 62 (2021)
Wenjie Chen, Shengcai Liu, Ke Tang
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization. CoRR (2021)
Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang
Robust Dynamic Network Embedding via Ensembles. CoRR (2021)
Chang Cao, Xiaofen Lu, Yachen Li, Junda Zhu, Ke Tang
The Performance Effect of Model Accuracy on Classification-Assisted Evolutionary Algorithms. CEC (2021)
Shengcai Liu, Ke Tang, Xin Yao
Memetic search for vehicle routing with simultaneous pickup-delivery and time windows. Swarm Evol. Comput. 66 (2021)
Fu Peng, Shengcai Liu, Ke Tang
Training Quantized Deep Neural Networks via Cooperative Coevolution. CoRR (2021)
Qi Yang, Peng Yang, Ke Tang
Active Reinforcement Learning over MDPs. CoRR (2021)
Chengbin Hou, Ke Tang
Towards Robust Dynamic Network Embedding. IJCAI (2021)
Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. SSCI (2020)
Yu Zhang, Peter Tiño, Ales Leonardis, Ke Tang
A Survey on Neural Network Interpretability. CoRR (2020)
Wenjing Hong, Peng Yang, Yiwen Wang, Ke Tang
Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. PPSN (1) (2020)
Yunwen Lei, Ting Hu, Guiying Li, Ke Tang
Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Ke Tang, Haiwen Yuan, Jianxun Lv, Fengchen Chen
Developing an Intelligent Monitoring Technology for Airport Stone Column Machines. Sensors 20 (11) (2020)
Wenbo Du, Wen Ying, Peng Yang, Xianbin Cao, Gang Yan, Ke Tang, Dapeng Oliver Wu
Network-Based Heterogeneous Particle Swarm Optimization and Its Application in UAV Communication Coverage. IEEE Trans. Emerg. Top. Comput. Intell. 4 (3) (2020)
Ke Tang, Haiwen Yuan, Jianxun Lv, Fengchen Chen
Research on the Method for Analyzing the Degree of Impact Acceleration and Compaction of the Impact Roller. IEEE Access 8 (2020)
Shengcai Liu, Ke Tang, Xin Yao
Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows. CoRR (2020)
Di Wu, Nan Jiang, Wenbo Du, Ke Tang, Xianbin Cao
Particle Swarm Optimization with Moving Particles on Scale-Free Networks. IEEE Trans. Netw. Sci. Eng. 7 (1) (2020)
Chao Bian, Chao Qian, Ke Tang, Yang Yu
Running time analysis of the (1+1)-EA for robust linear optimization. Theor. Comput. Sci. 843 (2020)
Chengbin Hou, Shan He, Ke Tang
RoSANE: Robust and scalable attributed network embedding for sparse networks. Neurocomputing 409 (2020)
Feng Wang, Yixuan Li, Aimin Zhou, Ke Tang
An Estimation of Distribution Algorithm for Mixed-Variable Newsvendor Problems. IEEE Trans. Evol. Comput. 24 (3) (2020)
Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao
On Performance Estimation in Automatic Algorithm Configuration. AAAI (2020)
Hu Zhang, Peng Yang, Yanglong Yu, Mingjia Li, Ke Tang
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search. CoRR (2020)
Ning Shi, Zexuan Zhu, Ke Tang, David Parker, Shan He
ATEN: And/Or tree ensemble for inferring accurate Boolean network topology and dynamics. Bioinform. 36 (2) (2020)
Ke Tang, Shengcai Liu, Peng Yang, Xin Yao
Few-shots Parameter Tuning via Co-evolution. CoRR (2020)
Xiaojian Wang, Jingyuan Wang, Ke Tang
Interpreting Deep Learning Model Using Rule-based Method. CoRR (2020)
Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, Ke Tang
Optimal Energy-Delay Scheduling for Energy-Harvesting WSNs With Interference Channel via Negatively Correlated Search. IEEE Internet Things J. 7 (3) (2020)
Xuesong Yan, Pengpeng Li, Ke Tang, Liang Gao, Ling Wang
Clonal selection based intelligent parameter inversion algorithm for prestack seismic data. Inf. Sci. 517 (2020)
Chengbin Hou, Han Zhang, Shan He, Ke Tang
GloDyNE: Global Topology Preserving Dynamic Network Embedding. CoRR (2020)
Zhushou Tang, Ke Tang, Minhui Xue, Yuan Tian, Sen Chen, Muhammad Ikram, Tielei Wang, Haojin Zhu
iOS, Your OS, Everybody's OS: Vetting and Analyzing Network Services of iOS Applications. USENIX Security Symposium (2020)
Chao Feng, Chao Qian, Ke Tang
Unsupervised Feature Selection by Pareto Optimization. AAAI (2019)
Liangpeng Zhang, Ke Tang, Xin Yao
Explicit Planning for Efficient Exploration in Reinforcement Learning. NeurIPS (2019)
Xinle Liang, A. Kai Qin, Ke Tang, Kay Chen Tan
QoS-Aware Web Service Selection with Internal Complementarity. IEEE Trans. Serv. Comput. 12 (2) (2019)
Yunwen Lei, Ting Hu, Ke Tang
Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions. CoRR (2019)
Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi, Xin Yao
A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 23 (3) (2019)
Xiaoliang Ma, Xiaodong Li, Qingfu Zhang, Ke Tang, Zhengping Liang, Weixin Xie, Zexuan Zhu
A Survey on Cooperative Co-Evolutionary Algorithms. IEEE Trans. Evol. Comput. 23 (3) (2019)
Kai Feng, Han Hong, Ke Tang, Jingyuan Wang
Decision Making with Machine Learning and ROC Curves. CoRR (2019)
Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou
Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms. Artif. Intell. 275 (2019)
Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu, Zhang Xiong
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks. CoRR (2019)
Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Ke Tang
An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms. IEEE Trans. Cybern. 49 (4) (2019)
Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao
On Performance Estimation in Automatic Algorithm Configuration. CoRR (2019)
Weiming Liu, Yinda Zhou, Bin Li, Ke Tang
Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization. CEC (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ke Tang