Research and Prediction of Coordination Reactions Between CPA-mA and Some Metal Ions using Artificial Neural Networks. - Lijun Dong; Aixia Yan; Xingguo Chen; Hongping Xu; Zhide Hu (Comput. Chem., 2001)

Development of a Quantitative Structure-property Relationship Model for Predicting the Electrophoretic Mobilities. - Qianfeng Li; Lijun Dong; Runping Jia; Xingguo Chen; Zhide Hu; Bo Tao Fan (Comput. Chem., 2002)

Study on the relationship between intake of trace elements and breast cancer mortality with chemometric methods. - Hong Lin Zhai; Xingguo Chen; Zhide Hu (Comput. Biol. Chem., 2003)

Improving Transport Layer Performance in Multihop Ad Hoc Networks by Exploiting MAC Layer Information. - Hong Lin Zhai; Xingguo Chen; Yuguang Fang (IEEE Trans. Wirel. Commun., 2007)

Reinforcement Learning with Markov Logic Networks. - Weiwei Wang 002; Yang Gao 001; Xingguo Chen; Shen Ge (MICAI, 2008)

Apply ant colony optimization to Tetris. - Xingguo Chen; Hao Wang 013; Weiwei Wang 002; Yinghuan Shi; Yang Gao 001 (GECCO, 2009)

RL-DOT: A Reinforcement Learning NPC Team for Playing Domination Games. - Hao Wang 013; Yang Gao 001; Xingguo Chen (IEEE Trans. Comput. Intell. AI Games, 2010)

Online Selective Kernel-Based Temporal Difference Learning. - Xingguo Chen; Yang Gao 001; Ruili Wang (IEEE Trans. Neural Networks Learn. Syst., 2013)

Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. - Shangdong Yang; Yang Gao 001; Bo An 001; Hao Wang 013; Xingguo Chen (AAAI, 2016)

A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor Networks. - Chunling Cheng; Shu Wang; Xingguo Chen; Yanying Yang (Int. J. Distributed Sens. Networks, 2016)

Continent-Wide 2-D Co-Seismic Deformation of the 2015 Mw 8.3 Illapel, Chile Earthquake Derived from Sentinel-1A Data: Correction of Azimuth Co-Registration Error. - Bing Xu; Zhiwei Li 001; Guangcai Feng; Zeyu Zhang; Qijie Wang; Jun Hu 005; Xingguo Chen (Remote. Sens., 2016)

Cost-Sensitive Alternating Direction Method of Multipliers for Large-Scale Classification. - Huihui Wang; Yinghuan Shi; Xingguo Chen; Yang Gao 001 (IDEAL, 2017)

The Theory of Modified Rings Game. - Yushuang Wu; Yuhao Lin; Xiaoyu Chen; Xingguo Chen (IDEAL, 2017)

Haze Forecasting via Deep LSTM. - Fan Feng; Jikai Wu; Wei Sun; Yushuang Wu; Huakang Li; Xingguo Chen (APWeb/WAIM (1), 2018)

An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward. - Shangdong Yang; Hao Wang 013; Yang Gao 001; Xingguo Chen (AAMAS, 2018)

Anomaly detection for drinking water quality via deep biLSTM ensemble. - Xingguo Chen; Fan Feng; Jikai Wu; Wenyu Liu 001 (GECCO (Companion), 2018)

Prior Knowledge Guided Gene-Disease Associations Prediction: An Enhanced Inductive Matrix Completion Approach. - Lei Chen 011; Jianyu Pu; Ziwen Yang; Xingguo Chen (PRICAI, 2018)

Accelerating Nash Q-Learning with Graphical Game Representation and Equilibrium Solving. - Yunkai Zhuang; Xingguo Chen; Yang Gao 001; Yujing Hu (ICTAI, 2019)

An Automated Online Spam Detector Based on Deep Cascade Forest. - Kangyang Chen; Xinyi Zou; Xingguo Chen; Huihui Wang (SciSec, 2019)

Online learning offloading framework for heterogeneous mobile edge computing system. - Feifei Zhang; Jidong Ge; Chifong Wong; Chuanyi Li; Xingguo Chen; Sheng Zhang 001; Bin Luo 003; He Zhang 001; Victor Chang 001 (J. Parallel Distributed Comput., 2019)

Multi-Agent Game Abstraction via Graph Attention Neural Network. - Yong Liu 007; Weixun Wang; Yujing Hu; Jianye Hao; Xingguo Chen; Yang Gao 001 (AAAI, 2020)

A Fast Alternating Direction Method of Multipliers Algorithm for Big Data Applications. - Huihui Wang; Xingguo Chen (IEEE Access, 2020)

DHQN: a Stable Approach to Remove Target Network from Deep Q-learning Network. - Guang Yang 006; Yang Li; Di'an Fei; Tian Huang; Qingyun Li; Xingguo Chen (ICTAI, 2021)

Research and Challenges of Reinforcement Learning in Cyber Defense Decision-Making for Intranet Security. - Wenhao Wang; Dingyuanhao Sun; Feng Jiang; Xingguo Chen; Cheng Zhu (Algorithms, 2022)

Backtracking Exploration for Reinforcement Learning. - Xingguo Chen; Zening Chen; Dingyuanhao Sun; Yang Gao 001 (DAI, 2023)

Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. - Hongye Cao; Shangdong Yang; Jing Huo; Xingguo Chen; Yang Gao 001 (ECAI, 2023)

Model-Based Offline Policy Optimization with Adversarial Network. - Junming Yang 001; Xingguo Chen; Shengyuan Wang 004; Bolei Zhang (ECAI, 2023)

Modified Retrace for Off-Policy Temporal Difference Learning. - Xingguo Chen; Xingzhou Ma; Yang Li; Guang Yang; Shangdong Yang; Yang Gao 001 (UAI, 2023)

Leveraging transition exploratory bonus for efficient exploration in Hard-Transiting reinforcement learning problems. - Shangdong Yang; Huihui Wang; Shaokang Dong; Xingguo Chen (Future Gener. Comput. Syst., 2023)

Online attentive kernel-based temporal difference learning. - Xingguo Chen; Guang Yang; Shangdong Yang; Huihui Wang; Shaokang Dong; Yang Gao 001 (Knowl. Based Syst., 2023)

Graph Contrastive Learning for Multi-behavior Recommendation. - Haiying Li; Huihui Wang 001; Shunmei Meng; Xingguo Chen (ADMA (6), 2024)

A Variance Minimization Approach to Temporal-Difference Learning. - Xingguo Chen; Yu Gong; Shangdong Yang; Wenhao Wang (CoRR, 2024)

Remote supervised relationship extraction method of clustering for knowledge graph in aviation field. - Jiayi Qu; Jintao Wang; Zuyi Zhao; Xingguo Chen (Intell. Syst. Appl., 2024)

MBJELEL: An End-to-End Knowledge Graph Entity Linking Method Applied to Civil Aviation Emergencies. - Jiayi Qu; Jintao Wang; Zuyi Zhao; Xingguo Chen (Int. J. Comput. Intell. Syst., 2024)

From Literature to Lab: Hardware-Independent Autonomous Chemical Synthesis with Reinforcement Learning. - Junfeng Wu; Jing He 004; Hai Liu 006; Zhaoqi Zheng; Yichen Cao; Xingguo Chen; Bingjie Zou; Ruiping Zou; Guohua Zhou; David Sturgess; André Van Zundert (WWW (Companion Volume), 2025)

Bellman Error Centering. - Xingguo Chen; Yu Gong; Shangdong Yang; Wenhao Wang (CoRR, 2025)

State Abstraction via Deep Supervised Hash Learning. - Guang Yang; Zheng Xu; Jing Huo; Shangdong Yang; Tianyu Ding; Xingguo Chen; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)