Jie Zhang

According to our database, Jie Zhang authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Regret Optimization Experience Replay in Off-Policy Reinforcement Learning.

Jie Zhang, Yirong Yao, Wei He, Yiqun Niu, Chongjun Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Inference Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Language Models.

Qiangqiang He, Shuwei Qian, Jie Zhang, Chongjun Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification.

Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Some Can Be Better than All: Multimodal Star Transformer for Visual Dialog.

Qiangqiang He, Jie Zhang, Shuwei Qian, Chongjun Wang

Proceedings of the IEEE International Conference on Image Processing, 2024

Understanding Data Augmentation From A Robustness Perspective.

Zhendong Liu, Jie Zhang, Qiangqiang He, Chongjun Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy.

Jie Zhang, Yiqun Niu, Wei He, Cheng Jin, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Predicting Potential Risk: Cerebral Stroke via Regret Minimization.

Jie Zhang, Hao Chen, Cheng Jin, Qiangqiang He, Wei He, Chongjun Wang

Int. J. Intell. Syst., 2023

Hierarchical Vision and Language Transformer for Efficient Visual Dialog.

Qiangqiang He, Mujie Zhang, Jie Zhang, Shang Yang, Chongjun Wang

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

K-Fold Cross-Valuation for Machine Learning Using Shapley Value.

Qiangqiang He, Mujie Zhang, Jie Zhang, Shang Yang, Chongjun Wang

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2021

Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game.

Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting.

Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021