Xiaotian Hao
Orcid: 0000-0002-3084-8366
According to our database1,
Xiaotian Hao
authored at least 34 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Auton. Agents Multi Agent Syst., October, 2023
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods.
ACM Trans. Database Syst., 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
CoRR, 2022
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks.
CoRR, 2022
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
Proceedings of the International Conference on Machine Learning, 2022
2021
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021
2020
Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments.
J. Comput. Sci. Technol., 2020
Combining sequence and network information to enhance protein-protein interaction prediction.
BMC Bioinform., 2020
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
BMC Bioinform., 2018
2017
Proceedings of the Database Systems for Advanced Applications, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2014
Proceedings of the Database Systems for Advanced Applications, 2014