QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting. - Jie Zhang 152; Kefan Li; Baoming Zhang; Ming Xu 014; Chongjun Wang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game. - Jie Zhang 152; Kefan Li; Baoming Zhang; Ming Xu 014; Chongjun Wang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

K-Fold Cross-Valuation for Machine Learning Using Shapley Value. - Qiangqiang He; Mujie Zhang; Jie Zhang 152; Shang Yang; Chongjun Wang (ICANN (3), 2023)

Hierarchical Vision and Language Transformer for Efficient Visual Dialog. - Qiangqiang He; Mujie Zhang; Jie Zhang 152; Shang Yang; Chongjun Wang (ICANN (6), 2023)

Predicting Potential Risk: Cerebral Stroke via Regret Minimization. - Jie Zhang 152; Hao Chen; Cheng Jin; Qiangqiang He; Wei He; Chongjun Wang (Int. J. Intell. Syst., 2023)

Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy. - Jie Zhang 152; Yiqun Niu; Wei He; Cheng Jin; Chongjun Wang (DASFAA (2), 2024)

Understanding Data Augmentation From A Robustness Perspective. - Zhendong Liu; Jie Zhang 152; Qiangqiang He; Chongjun Wang (ICASSP, 2024)

Some Can Be Better than All: Multimodal Star Transformer for Visual Dialog. - Qiangqiang He; Jie Zhang 152; Shuwei Qian; Chongjun Wang (ICIP, 2024)

Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification. - Baoming Zhang; Mingcai Chen; Jianqing Song; Shuangjie Li; Jie Zhang 152; Chongjun Wang (AAAI, 2025)

Inference Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Language Models. - Qiangqiang He; Shuwei Qian; Jie Zhang 152; Chongjun Wang (ICASSP, 2025)

Regret Optimization Experience Replay in Off-Policy Reinforcement Learning. - Jie Zhang 152; Yirong Yao; Wei He; Yiqun Niu; Chongjun Wang (ICASSP, 2025)