Reversible Architectures for Arbitrarily Deep Residual Neural Networks. - Bo Chang 002; Lili Meng; Eldad Haber; Lars Ruthotto; David Begert; Elliot Holtham (AAAI, 2018)

Modular Generative Adversarial Networks. - Bo Zhao 032; Bo Chang 002; Zequn Jie; Leonid Sigal (ECCV (14), 2018)

Multi-level Residual Networks from Dynamical Systems View. - Bo Chang 002; Lili Meng; Eldad Haber; Frederick Tung; David Begert (ICLR (Poster), 2018)

Generating Handwritten Chinese Characters Using CycleGAN. - Bo Chang 002; Qiong Zhang; Shenyi Pan; Lili Meng (WACV, 2018)

Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos. - Lili Meng; Bo Zhao 032; Bo Chang 002; Gao Huang 001; Frederick Tung; Leonid Sigal (CoRR, 2018)

Vine copula structure learning via Monte Carlo tree search. - Bo Chang 002; Shenyi Pan; Harry Joe (AISTATS, 2019)

Interpretable Spatio-Temporal Attention for Video Action Recognition. - Lili Meng; Bo Zhao 032; Bo Chang 002; Gao Huang 001; Wei Sun; Frederick Tung; Leonid Sigal (ICCV Workshops, 2019)

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. - Bo Chang 002; Minmin Chen; Eldad Haber; Ed H. Chi (ICLR (Poster), 2019)

Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs. - Dar Gilboa; Bo Chang 002; Minmin Chen; Greg Yang; Samuel S. Schoenholz; Ed H. Chi; Jeffrey Pennington (CoRR, 2019)

Point Process Flows. - Nazanin Mehrasa; Ruizhi Deng; Mohamed Osama Ahmed; Bo Chang 002; Jiawei He 001; Thibaut Durand; Marcus A. Brubaker; Greg Mori (CoRR, 2019)

Prediction based on conditional distributions of vine copulas. - Bo Chang 002; Harry Joe (Comput. Stat. Data Anal., 2019)

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. - Ruizhi Deng; Bo Chang 002; Marcus A. Brubaker; Greg Mori; Andreas M. Lehrmann (NeurIPS, 2020)

Energy-Efficient Power Allocation in URLLC Enabled Wireless Control for Factory Automation Applications. - Abdulrahman Al Ayidh; Bo Chang 002; Guodong Zhao 001; Rami Ghannam; Muhammad Ali Imran 001 (PIMRC, 2020)

Variational Hyper RNN for Sequence Modeling. - Ruizhi Deng; Yanshuai Cao; Bo Chang 002; Leonid Sigal; Greg Mori; Marcus A. Brubaker (CoRR, 2020)

CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. - Jiaqi Ma 001; Bo Chang 002; Xuefei Zhang; Qiaozhu Mei (ICLR, 2021)

Age of Control Process for Real-Time Wireless Control. - Burak Kizilkaya; Bo Chang 002; Shuja Ansari; Yusuf A. Sambo; Guodong Zhao 001; Muhammad Ali Imran 001 (PIMRC, 2021)

User Response Models to Improve a REINFORCE Recommender System. - Minmin Chen; Bo Chang 002; Can Xu; Ed H. Chi (WSDM, 2021)

Learning to Augment for Casual User Recommendation. - Jianling Wang; Ya Le; Bo Chang 002; Yuyan Wang; Ed H. Chi; Minmin Chen (WWW, 2022)

Recency Dropout for Recurrent Recommender Systems. - Bo Chang 002; Can Xu; Matthieu Lê; Jingchen Feng; Ya Le; Sriraj Badam; Ed H. Chi; Minmin Chen (CoRR, 2022)

Latent User Intent Modeling for Sequential Recommenders. - Bo Chang 002; Alexandros Karatzoglou; Yuyan Wang; Can Xu; Ed H. Chi; Minmin Chen (WWW (Companion Volume), 2023)

Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. - Abhishek Naik; Bo Chang 002; Alexandros Karatzoglou; Martin Mladenov; Ed H. Chi; Minmin Chen (WWW (Companion Volume), 2023)

Convolutional neural networks combined with Runge-Kutta methods. - Mai Zhu; Bo Chang 002; Chong Fu 001 (Neural Comput. Appl., 2023)

Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems. - Bo Chang 002; Changping Meng; He Ma; Shuo Chang; Yang Gu; Yajun Peng; Jingchen Feng; Yaping Zhang; Shuchao Bi; Ed H. Chi; Minmin Chen (WWW (Companion Volume), 2024)

EVOLvE: Evaluating and Optimizing LLMs For Exploration. - Allen Nie; Yi Su; Bo Chang 002; Jonathan N. Lee; Ed H. Chi; Quoc V. Le; Minmin Chen (CoRR, 2024)