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ORCIDBo Chang 0002
Person information
- affiliation: Google, Inc., Mountain View, CA, USA
- affiliation (PhD 2019): University of British Columbia, Department of Statistics, Vancouver, Canada
Other persons with the same name
- Bo Chang — disambiguation page
- Bo Chang 0001
![[0000-0002-2995-5068]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2995-5068")
— University of Electronic Science and Technology of China, National Key Lab on Communications, Chengdu, China - Bo Chang 0003 — Ball State University, Teachers College, Muncie, IN, USA (and 1 more)
- Bo Chang 0004 — Shaanxi University of Science and Technology, School of Mechatronics Engineering, Xi'an, China (and 1 more)
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2020 – today
- 2024
[c16]Bo Chang, Changping Meng, He Ma, Shuo Chang, Yang Gu, Yajun Peng, Jingchen Feng, Yaping Zhang, Shuchao Bi, Ed H. Chi, Minmin Chen:
Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems. WWW (Companion Volume) 2024: 151-160- 2023
- [j2]Mai Zhu, Bo Chang, Chong Fu:
Convolutional neural networks combined with Runge-Kutta methods. Neural Comput. Appl. 35(2): 1629-1643 (2023) - [c15]Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen:
Latent User Intent Modeling for Sequential Recommenders. WWW (Companion Volume) 2023: 427-431 - [c14]Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen:
Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. WWW (Companion Volume) 2023: 966-972 - 2022
- [c13]Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen:
Learning to Augment for Casual User Recommendation. WWW 2022: 2183-2194 - [i14]Bo Chang, Can Xu, Matthieu Lê, Jingchen Feng, Ya Le, Sriraj Badam, Ed H. Chi, Minmin Chen:
Recency Dropout for Recurrent Recommender Systems. CoRR abs/2201.11016 (2022) - [i13]Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen:
Learning to Augment for Casual User Recommendation. CoRR abs/2204.00926 (2022) - [i12]Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen:
Latent User Intent Modeling for Sequential Recommenders. CoRR abs/2211.09832 (2022) - 2021
- [c12]Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei:
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. ICLR 2021 - [c11]Burak Kizilkaya, Bo Chang, Shuja Ansari, Yusuf A. Sambo, Guodong Zhao, Muhammad Ali Imran:
Age of Control Process for Real-Time Wireless Control. PIMRC 2021: 1-5 - [c10]Minmin Chen, Bo Chang, Can Xu, Ed H. Chi:
User Response Models to Improve a REINFORCE Recommender System. WSDM 2021: 121-129 - 2020
- [c9]Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann:
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. NeurIPS 2020 - [c8]Abdulrahman Al Ayidh, Bo Chang, Guodong Zhao, Rami Ghannam, Muhammad Ali Imran:
Energy-Efficient Power Allocation in URLLC Enabled Wireless Control for Factory Automation Applications. PIMRC 2020: 1-6 - [i11]Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker:
Variational Hyper RNN for Sequence Modeling. CoRR abs/2002.10501 (2020) - [i10]Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann:
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. CoRR abs/2002.10516 (2020) - [i9]Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei:
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. CoRR abs/2010.02089 (2020)
2010 – 2019
- 2019
- [j1]Bo Chang, Harry Joe:
Prediction based on conditional distributions of vine copulas. Comput. Stat. Data Anal. 139: 45-63 (2019) - [c7]Bo Chang, Shenyi Pan, Harry Joe:
Vine copula structure learning via Monte Carlo tree search. AISTATS 2019: 353-361 - [c6]Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal:
Interpretable Spatio-Temporal Attention for Video Action Recognition. ICCV Workshops 2019: 1513-1522 - [c5]Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi:
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. ICLR (Poster) 2019 - [i8]Dar Gilboa, Bo Chang, Minmin Chen, Greg Yang, Samuel S. Schoenholz, Ed H. Chi, Jeffrey Pennington:
Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs. CoRR abs/1901.08987 (2019) - [i7]Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi:
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. CoRR abs/1902.09689 (2019) - [i6]Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus A. Brubaker, Greg Mori:
Point Process Flows. CoRR abs/1910.08281 (2019) - 2018
- [c4]Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham:
Reversible Architectures for Arbitrarily Deep Residual Neural Networks. AAAI 2018: 2811-2818 - [c3]Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal:
Modular Generative Adversarial Networks. ECCV (14) 2018: 157-173 - [c2]Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert:
Multi-level Residual Networks from Dynamical Systems View. ICLR (Poster) 2018 - [c1]Bo Chang, Qiong Zhang, Shenyi Pan, Lili Meng:
Generating Handwritten Chinese Characters Using CycleGAN. WACV 2018: 199-207 - [i5]Bo Chang, Qiong Zhang, Shenyi Pan, Lili Meng:
Generating Handwritten Chinese Characters using CycleGAN. CoRR abs/1801.08624 (2018) - [i4]Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal:
Modular Generative Adversarial Networks. CoRR abs/1804.03343 (2018) - [i3]Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal:
Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos. CoRR abs/1810.04511 (2018) - 2017
- [i2]Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham:
Reversible Architectures for Arbitrarily Deep Residual Neural Networks. CoRR abs/1709.03698 (2017) - [i1]Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert:
Multi-level Residual Networks from Dynamical Systems View. CoRR abs/1710.10348 (2017)
Coauthor Index
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