Zhenyue Qin
Orcid: 0000-0002-3471-6280
According to our database1,
Zhenyue Qin
authored at least 31 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
HandCraft: Anatomically Correct Restoration of Malformed Hands in Diffusion Generated Images.
CoRR, 2024
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models.
CoRR, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
CoRR, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Sensors, 2022
CoRR, 2022
Resolving Anomalies in the Behaviour of a Modularity-Inducing Problem Domain with Distributional Fitness Evaluation.
Artif. Life, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions.
CoRR, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Improving Effectiveness and Efficiency in Wagner's Modularity-Evolving Artificial Gene Regulatory Networks.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator.
CoRR, 2019
Proceedings of the 2019 Conference on Artificial Life, 2019
Your Eyes Say You're Lying: An Eye Movement Pattern Analysis for Face Familiarity and Deceptive Cognition.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Why don't the modules dominate - Investigating the Structure of a Well-Known Modularity-Inducing Problem Domain.
CoRR, 2018
Detecting the Doubt Effect and Subjective Beliefs Using Neural Networks and Observers' Pupillary Responses.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional Expressions.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018