Haiyan Yin

According to our database1, Haiyan Yin authored at least 24 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Distributional Meta-Gradient Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
A Half-Space Problem on the Full Euler-Poisson System.
SIAM J. Math. Anal., 2021

Mitigating Forgetting in Online Continual Learning with Neuron Calibration.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Causal Discovery with Flow-based Conditional Density Estimation.
Proceedings of the IEEE International Conference on Data Mining, 2021

Sequential Generative Exploration Model for Partially Observable Reinforcement Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Reinforcement Learning with Efficient Active Feature Acquisition.
CoRR, 2020

Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Deep Learning Assisted Resource Partitioning for Improving Performance on Commodity Servers.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019
Improving deep reinforcement learning with advanced exploration and transfer learning techniques
PhD thesis, 2019

2018
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Design and Evaluation of a Data-Driven Scenario Generation Framework for Game-Based Training.
IEEE Trans. Comput. Intell. AI Games, 2017

Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning.
CoRR, 2017

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015
A review of interactive narrative systems and technologies: a training perspective.
Simul., 2015

Data-Driven Dynamic Adaptation Framework for Multi-agent Training Game.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

A data-driven approach for online adaptation of game difficulty.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Towards a data-driven approach to scenario generation for serious games.
Comput. Animat. Virtual Worlds, 2014

2013
Interactive scenario generation for mission-based virtual training.
Comput. Animat. Virtual Worlds, 2013

Dynamic background subtraction based on appearance and motion pattern.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Mission-Based Scenario Modeling and Generation for Virtual Training.
Proceedings of the Ninth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2013

2012
A Dual Hashtables Algorithm for Durable Top-k Search.
Proceedings of the Ninth Web Information Systems and Applications Conference, 2012


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