Risk Dominance Strategy in Imperfect Information Multi-player Game. - Xuan Wang 002; Jiajia Zhang 001; Xinxin Xu; Zhaoyang Xu (ISDA (2), 2008)

The Improvement of Q-learning Applied to Imperfect Information Game. - Jing Lin; Xuan Wang 002; Lijiao Han; Jiajia Zhang 001; Xinxin Xu (SMC, 2009)

Analysis of UCT algorithm policies in imperfect information game. - Jiajia Zhang 001; Xuan Wang 002; Ling Yang; Jia Ji; Dongsheng Zhi (CCIS, 2012)

Using Risk Dominance Strategy in Poker. - Jiajia Zhang 001; Xuan Wang 002; Lin Yao 004; Jingpeng Li 002; Shen-Xeu Dong (J. Inf. Hiding Multim. Signal Process., 2014)

Negotiation Game Model for Big Data Transactions. - Jiajia Zhang 001; Shuqiang Yang; Weizhe Zhang; Bin Zhang 048; Zhenhuan Luo; Ying Zhou; Jia Xie (DSC, 2019)

Solving Six-Player Games via Online Situation Estimation. - Huale Li; Xuan Wang 002; Shuhan Qi; Yang Liu 039; Haojie Wang; Fengwei Jia; Jiajia Zhang 001 (ICTAI, 2019)

Graph-based supervised discrete image hashing. - Jian Guan 001; Yifan Li; Jianguo Sun; Xuan Wang 002; Hainan Zhao; Jiajia Zhang 001; Zechao Liu; Shuhan Qi (J. Vis. Commun. Image Represent., 2019)

Density-Based Population Initialization Strategy for Continuous Optimization. - Peilan Xu; Wenjian Luo; Jiafei Xu; Yingying Qiao; Jiajia Zhang 001 (BIC-TA, 2020)

Self-Attention-Masking Semantic Decomposition and Segmentation for Facial Attribute Manipulation. - Xuan Xia; Fengqi Yu; Nan Li 027; Yansong Qu; Jiajia Zhang 001; Chengguang Zhu (IEEE Access, 2020)

Solving imperfect-information games via exponential counterfactual regret minimization. - Huale Li; Xuan Wang 002; Shuhan Qi; Jiajia Zhang 001; Yang Liu 039; Fengwei Jia (CoRR, 2020)

RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning. - Huale Li; Xuan Wang 002; Fengwei Jia; Yifan Li; Yulin Wu 001; Jiajia Zhang 001; Shuhan Qi (CoRR, 2020)

Ransomware classification using patch-based CNN and self-attention network on embedded N-grams of opcodes. - Bin Zhang 048; Wentao Xiao; Xi Xiao; Arun Kumar Sangaiah; Weizhe Zhang; Jiajia Zhang 001 (Future Gener. Comput. Syst., 2020)

Bi-Connect Net for salient object detection. - Fengwei Jia; Xuan Wang 002; Jian Guan 001; Qing Liao 001; Jiajia Zhang 001; Huale Li; Shuhan Qi (Neurocomputing, 2020)

Explore instance similarity: An instance correlation based hashing method for multi-label cross-model retrieval. - Chengkai Huang; Xuan Luo; Jiajia Zhang 001; Qing Liao 001; Xuan Wang 002; Zoe Lin Jiang; Shuhan Qi (Inf. Process. Manag., 2020)

A Survey of Nearest-Better Clustering in Swarm and Evolutionary Computation. - Wenjian Luo; Xin Lin 004; Jiajia Zhang 001; Mike Preuss (CEC, 2021)

Hiding All Labels for Multi-label Images: An Empirical Study of Adversarial Examples. - Nan Zhou; Wenjian Luo; Jiajia Zhang 001; Linghao Kong; Hongwei Zhang (IJCNN, 2021)

Hierarchical Semantic Enhanced Directional Graph Network for Visual Commonsense Reasoning. - Mingyan Wu; Shuhan Qi; Jun Rao; Jiajia Zhang 001; Qing Liao 001; Xuan Wang 002; Xinxin Liao (Trustworthy AI @ ACM Multimedia, 2021)

AIBPO: Combine the Intrinsic Reward and Auxiliary Task for 3D Strategy Game. - Huale Li; Rui Cao; Xuan Wang 002; Xiaohan Hou; Tao Qian 003; Fengwei Jia; Jiajia Zhang 001; Shuhan Qi (Complex., 2021)

NNCFR: Minimize Counterfactual Regret with Neural Networks. - Huale Li; Xuan Wang 002; Zengyue Guo; Jiajia Zhang 001; Shuhan Qi (CoRR, 2021)

Combining Counterfactual Regret Minimization with Information Gain to Solve Extensive Games with Imperfect Information. - Chen Qiu 003; Xuan Wang 002; Tianzi Ma; Yaojun Wen; Jiajia Zhang 001 (CoRR, 2021)

Fittest survival: an enhancement mechanism for Monte Carlo tree search. - Jiajia Zhang 001; Xiaozhen Sun; Dandan Zhang; Xuan Wang 002; Shuhan Qi; Tao Qian 003 (Int. J. Bio Inspired Comput., 2021)

Scalable sub-game solving for imperfect-information games. - Huale Li; Xuan Wang 002; Kunchi Li; Fengwei Jia; Yulin Wu 001; Jiajia Zhang 001; Shuhan Qi (Knowl. Based Syst., 2021)

Autoencoder-based self-supervised hashing for cross-modal retrieval. - Yifan Li; Xuan Wang 002; Lei Cui; Jiajia Zhang 001; Chengkai Huang; Xuan Luo; Shuhan Qi (Multim. Tools Appl., 2021)

Self-supervised learning-based weight adaptive hashing for fast cross-modal retrieval. - Yifan Li; Xuan Wang 002; Shuhan Qi; Chengkai Huang; Zoe Lin Jiang; Qing Liao 001; Jian Guan 001; Jiajia Zhang 001 (Signal Image Video Process., 2021)

An alternative way of evolutionary multimodal optimization: density-based population initialization strategy. - Peilan Xu; Wenjian Luo; Jiafei Xu; Yingying Qiao; Jiajia Zhang 001; Naijie Gu (Swarm Evol. Comput., 2021)

Constraint-Objective Cooperative Coevolution for Large-scale Constrained Optimization. - Peilan Xu; Wenjian Luo; Xin Lin 004; Jiajia Zhang 001; Yingying Qiao; Xuan Wang 002 (ACM Trans. Evol. Learn. Optim., 2021)

NFSP-PER: An efficient sampling NFSP-based method with prioritized experience replay. - Huale Li; Shuhan Qi; Jiajia Zhang 001; Dandan Zhang; Lin Yao 004; Xuan Wang 002; Qi Li; Jing Xiao 006 (ICDIS, 2022)

EFDO: Solving Extensive-Form Games Based On Double Oracle. - Song Qin; Lei Zhang; Shuhan Qi; Jiajia Zhang 001; Huale Li; Xuan Wang 002; Jing Xiao 006 (ICDIS, 2022)

LwDeepStack: A lightweight DeepStack based on knowledge distillation. - Jiajia Zhang 001; Zengyue Guo; Huale Li; Xuan Wang 002; Dongming Liu; Shuhan Qi (ICDIS, 2022)

Information Entropy of Uncertainty Control: An Uncertainty Management Method in Imperfect Information Games. - Jiajia Zhang 001; Mingxin Zhan; Shuhan Qi; Nanwei Yu; Dongrun Zheng; Xuan Wang 002; Jing Xiao 006 (ICDIS, 2022)

Dual Feature Fusion Trade Execution Framework with DDQN. - Dongrun Zheng; Jiajia Zhang 001; Xuan Wang 002; Xiao Guo; Jing Xiao 006 (ICDIS, 2022)

Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning. - Shuhan Qi; Shuhao Zhang 009; Xiaohan Hou; Jiajia Zhang 001; Xuan Wang 002; Jing Xiao 006 (CoRR, 2022)

RLCFR: Minimize counterfactual regret by deep reinforcement learning. - Huale Li; Xuan Wang 002; Fengwei Jia; Yulin Wu 001; Jiajia Zhang 001; Shuhan Qi (Expert Syst. Appl., 2022)

Finding top-K solutions for the decision-maker in multiobjective optimization. - Wenjian Luo; Luming Shi; Xin Lin 004; Jiajia Zhang 001; Miqing Li; Xin Yao 001 (Inf. Sci., 2022)

Parallel learner: A practical deep reinforcement learning framework for multi-scenario games. - Xiaohan Hou; Zhenyang Guo; Xuan Wang 002; Tao Qian 003; Jiajia Zhang 001; Shuhan Qi; Jing Xiao 006 (Knowl. Based Syst., 2022)

3D face recognition algorithm based on nose tip contour and radial curve. - Linlin Tang; Zhangyan Li; Yang Liu 039; Shuhan Qi; Jiajia Zhang 001; Jiancheng Pan; Shuaijie Shi (Multim. Tools Appl., 2022)

Reinforced Vision-and-Language Navigation Based on Historical BERT. - Zixuan Zhang; Shuhan Qi; Zihao Zhou; Jiajia Zhang 001; Hao Yuan; Xuan Wang 002; Lei Wang 203; Jing Xiao 006 (ICSI (2), 2023)

SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning. - Shuhan Qi; Shuhao Zhang 009; Qiang Wang 022; Jiajia Zhang 001; Jing Xiao 006; Xuan Wang 002 (CoRR, 2023)

Kdb-D2CFR: Solving Multiplayer imperfect-information games with knowledge distillation-based DeepCFR. - Huale Li; Zengyue Guo; Yang Liu 039; Xuan Wang 002; Shuhan Qi; Jiajia Zhang 001; Jing Xiao 006 (Knowl. Based Syst., 2023)

A large-scale continuous optimization benchmark suite with versatile coupled heterogeneous modules. - Peilan Xu; Wenjian Luo; Xin Lin 004; Jiajia Zhang 001; Xuan Wang 002 (Swarm Evol. Comput., 2023)

Entropy-Based Logic Explanations of Differentiable Decision Tree. - Yuanyuan Liu; Jiajia Zhang 001; Yifan Li (IIP (1), 2024)

Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing. - Yizhou Luo; Qiang Wang 022; Shaohuai Shi; Jiaxin Lai; Shuhan Qi; Jiajia Zhang 001; Xuan Wang 002 (IWQoS, 2024)

Improving Real-Time Service Quality Through Parallel Monte Carlo Tree Search. - Jiajia Zhang 001; Shuman Zhuang; Yulin Wu 001 (IWQoS, 2024)

Reverse double auction mechanism: An efficient algorithm for E-commerce platform operations. - Qian Chen 028; Xuan Wang 002; Cenying Yang; Zoe Lin Jiang; Shuhan Qi; Jiajia Zhang 001; Na Li; Lei Wang 203; Jing Xiao 006 (Electron. Commer. Res. Appl., 2024)

A fast strategy-solving method for adversarial team games utilizing warm starting. - Botao Liu; Chen Qiu 003; Weixin Huang; Jiajia Zhang 001; Xuan Wang 002 (Neurocomputing, 2024)

Cascaded Attention: Adaptive and Gated Graph Attention Network for Multiagent Reinforcement Learning. - Shuhan Qi; Xinhao Huang; Peixi Peng; Xuzhong Huang; Jiajia Zhang 001; Xuan Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Novel Tree-Based Method for Interpretable Reinforcement Learning. - Yifan Li; Shuhan Qi; Xuan Wang 002; Jiajia Zhang 001; Lei Cui (ACM Trans. Knowl. Discov. Data, 2024)

D2CFR: Minimize Counterfactual Regret With Deep Dueling Neural Network. - Huale Li; Xuan Wang 002; Zengyue Guo; Jiajia Zhang 001; Shuhan Qi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract). - Zhihang Sun; Shuhan Qi; Xinhao Huang; Xinyu Xiao; Jiajia Zhang 001; Xuan Wang 002; Peixi Peng (AAAI, 2025)

FGLight: Learning Neighbor-level Information for Traffic Signal Control. - Hang Xiao; Huale Li; Shuhan Qi; Jiajia Zhang 001; Dingzhong Cai (AAMAS, 2025)

Last-Iterate Convergence in Adaptive Regret Minimization for Approximate Extensive-Form Perfect Equilibrium. - Hang Ren; Xiaozhen Sun; Tianzi Ma; Jiajia Zhang 001; Xuan Wang 002 (CoRR, 2025)

Distributed scalable multi-agent reinforcement learning with intrinsic-episodic dual exploration. - Shuhan Qi; Shuhao Zhang 009; Qiang Wang 022; Jiajia Zhang 001; Xuan Wang 002 (Future Gener. Comput. Syst., 2026)