Xingguo Chen

发表

A Survey of Point-of-Interest Recommendation in Location-Based Social Networks

Yonghong Yu, Xingguo Chen, 2015, AAAI 2015.

Research and Challenges of Reinforcement Learning in Cyber Defense Decision-Making for Intranet Security

Xingguo Chen, Wenhao Wang, Dingyuanhao Sun, 2022, Algorithms.

Accelerating Nash Q-Learning with Graphical Game Representation and Equilibrium Solving

Yujing Hu, Yang Gao, Yunkai Zhuang, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

RL-DOT: A Reinforcement Learning NPC Team for Playing Domination Games

Yang Gao, Hao Wang, Xingguo Chen, 2010, IEEE Transactions on Computational Intelligence and AI in Games.

Multi-Agent Game Abstraction via Graph Attention Neural Network

Yujing Hu, Yong Liu, Jianye Hao, 2019, AAAI.

A Fast Alternating Direction Method of Multipliers Algorithm for Big Data Applications

Huihui Wang, Xingguo Chen, Xingguo Chen, 2020, IEEE Access.

Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data.

Min Zuo, Da Chen, Xinyi Zou, 2019, Water research.

Anomaly detection for drinking water quality via deep biLSTM ensemble

Fan Feng, Wenyu Liu, Xingguo Chen, 2018, GECCO.

Online learning offloading framework for heterogeneous mobile edge computing system

Victor I. Chang, Bin Luo, Jidong Ge, 2019, J. Parallel Distributed Comput..

Identification of Suitable Technologies for Drinking Water Quality Prediction: A Comparative Study of Traditional, Ensemble, Cost-Sensitive, Outlier Detection Learning Models and Sampling Algorithms

Min Zuo, Yongfeng Deng, Xingguo Chen, 2021, ACS ES&T Water.

Reinforcement learning transfer based on subgoal discovery and subtask similarity

Hao Wang, Xingguo Chen, Yang Gao, 2014, IEEE/CAA Journal of Automatica Sinica.

Distributed Stochastic Alternating Direction Method of Multipliers for Big Data Classification

Lianyong Qi, Xiaolong Xu, Huihui Wang, 2019 .

Two novelty learning models developed based on deep cascade forest to address the environmental imbalanced issues: A case study of drinking water quality prediction.

Xingguo Chen, Yongfeng Deng, Ruqin Shen, 2021, Environmental pollution.

An Automated Online Spam Detector Based on Deep Cascade Forest

Xinyi Zou, Kangyang Chen, Xingguo Chen, 2019, SciSec.

Online Selective Kernel-Based Temporal Difference Learning

Yang Gao, Ruili Wang, Xingguo Chen, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Leveraging transition exploratory bonus for efficient exploration in Hard-Transiting reinforcement learning problems

Xingguo Chen, Shangdong Yang, Shaokang Dong, 2023, Future Gener. Comput. Syst..

Efficient Average Reward Reinforcement Learning Using Constant Shifting Values

Yang Gao, Bo An, Hao Wang, 2016, AAAI.