Solving DEC-POMDPs by Expectation Maximization of Value Function. - Zhao Song 001; Xuejun Liao; Lawrence Carin (AAAI Spring Symposia, 2016)

Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization. - Zhao Song 001; Ricardo Henao; David E. Carlson; Lawrence Carin (AISTATS, 2016)

Linear Feature Encoding for Reinforcement Learning. - Zhao Song 001; Ronald E. Parr; Xuejun Liao; Lawrence Carin (NIPS, 2016)

Scalable Model Selection for Belief Networks. - Zhao Song 001; Yusuke Muraoka; Ryohei Fujimaki; Lawrence Carin (NIPS, 2017)

Revisiting the Softmax Bellman Operator: Theoretical Properties and Practical Benefits. - Zhao Song 001; Ronald E. Parr; Lawrence Carin (CoRR, 2018)

Learning Features for Unsupervised Learning and Reinforcement Learning. - Zhao Song 001 (2018)

Revisiting the Softmax Bellman Operator: New Benefits and New Perspective. - Zhao Song 001; Ronald Parr; Lawrence Carin (ICML, 2019)

Parallel Neural Text-to-Speech. - Kainan Peng; Wei Ping; Zhao Song 001; Kexin Zhao (CoRR, 2019)

Non-Autoregressive Neural Text-to-Speech. - Kainan Peng; Wei Ping; Zhao Song 001; Kexin Zhao (ICML, 2020)

WaveFlow: A Compact Flow-based Model for Raw Audio. - Wei Ping; Kainan Peng; Kexin Zhao; Zhao Song 001 (ICML, 2020)

FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers. - Abishek Sankararaman; Balakrishnan Narayanaswamy; Vikramank Y. Singh; Zhao Song 001 (ICML, 2022)

Vista: Machine Learning based Database Performance Troubleshooting Framework in Amazon RDS. - Vikramank Y. Singh; Zhao Song 001; Balakrishnan (Murali) Narayanaswamy; Kapil Eknath Vaidya; Tim Kraska (SoCC, 2024)