Bo Chang

Orcid: 0000-0001-7429-7212

Affiliations:

Google, Inc., Mountain View, CA, USA
University of British Columbia, Department of Statistics, Vancouver, Canada (PhD 2019)

According to our database¹, Bo Chang authored at least 22 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Other

Bibliography

2023

Convolutional neural networks combined with Runge-Kutta methods.

[BibT_eX]

[DOI]

Mai Zhu

Bo Chang

Chong Fu

Neural Comput. Appl., 2023

Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems.

[BibT_eX]

[DOI]

Abhishek Naik

Bo Chang

Alexandros Karatzoglou

Martin Mladenov

Ed H. Chi

Minmin Chen

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Latent User Intent Modeling for Sequential Recommenders.

[BibT_eX]

[DOI]

Bo Chang

Alexandros Karatzoglou

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Recency Dropout for Recurrent Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Augment for Casual User Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

User Response Models to Improve a REINFORCE Recommender System.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Age of Control Process for Real-Time Wireless Control.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Variational Hyper RNN for Sequence Modeling.

[BibT_eX]

[DOI]

CoRR, 2020

Energy-Efficient Power Allocation in URLLC Enabled Wireless Control for Factory Automation Applications.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Prediction based on conditional distributions of vine copulas.

[BibT_eX]

[DOI]

Bo Chang

Harry Joe

Comput. Stat. Data Anal., 2019

Point Process Flows.

[BibT_eX]

[DOI]

CoRR, 2019

Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs.

[BibT_eX]

[DOI]

CoRR, 2019

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Interpretable Spatio-Temporal Attention for Video Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Vine copula structure learning via Monte Carlo tree search.

[BibT_eX]

[DOI]

Bo Chang

Shenyi Pan

Harry Joe

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos.

[BibT_eX]

[DOI]

CoRR, 2018

Generating Handwritten Chinese Characters Using CycleGAN.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Multi-level Residual Networks from Dynamical Systems View.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Modular Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Reversible Architectures for Arbitrarily Deep Residual Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Bo Chang

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