Bo Chang

According to our database, Bo Chang authored at least 24 papers between 2018 and 2024.

Collaborative distances:

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

2024

EVOLvE: Evaluating and Optimizing LLMs For Exploration.

Allen Nie, Yi Su, Bo Chang, Jonathan N. Lee, Ed H. Chi, Quoc V. Le, Minmin Chen

CoRR, 2024

Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems.

Bo Chang, Changping Meng, He Ma, Shuo Chang, Yang Gu, Yajun Peng, Jingchen Feng, Yaping Zhang, Shuchao Bi, Ed H. Chi, Minmin Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Convolutional neural networks combined with Runge-Kutta methods.

Mai Zhu, Bo Chang, Chong Fu

Neural Comput. Appl., 2023

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

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.

Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen

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

2022

Recency Dropout for Recurrent Recommender Systems.

Bo Chang, Can Xu, Matthieu Lê, Jingchen Feng, Ya Le, Sriraj Badam, Ed H. Chi, Minmin Chen

CoRR, 2022

Learning to Augment for Casual User Recommendation.

Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen

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.

Minmin Chen, Bo Chang, Can Xu, Ed H. Chi

Proceedings of the WSDM '21, 2021

Age of Control Process for Real-Time Wireless Control.

Burak Kizilkaya, Bo Chang, Shuja Ansari, Yusuf A. Sambo, Guodong Zhao, Muhammad Ali Imran

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

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

Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei

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

2020

Variational Hyper RNN for Sequence Modeling.

Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker

CoRR, 2020

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

Abdulrahman Al Ayidh, Bo Chang, Guodong Zhao, Rami Ghannam, Muhammad Ali Imran

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

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows.

Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann

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.

Bo Chang, Harry Joe

Comput. Stat. Data Anal., 2019

Point Process Flows.

Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus A. Brubaker, Greg Mori

CoRR, 2019

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

Dar Gilboa, Bo Chang, Minmin Chen, Greg Yang, Samuel S. Schoenholz, Ed H. Chi, Jeffrey Pennington

CoRR, 2019

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks.

Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi

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

Interpretable Spatio-Temporal Attention for Video Action Recognition.

Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal

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

Vine copula structure learning via Monte Carlo tree search.

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.

Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal

CoRR, 2018

Generating Handwritten Chinese Characters Using CycleGAN.

Bo Chang, Qiong Zhang, Shenyi Pan, Lili Meng

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

Multi-level Residual Networks from Dynamical Systems View.

Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert

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

Modular Generative Adversarial Networks.

Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal

Proceedings of the Computer Vision - ECCV 2018, 2018

Reversible Architectures for Arbitrarily Deep Residual Neural Networks.

Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham

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