Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics. - Shivaram Venkataraman; Zongheng Yang; Michael J. Franklin; Benjamin Recht; Ion Stoica (NSDI, 2016)

SparkR: Scaling R Programs with Spark. - Shivaram Venkataraman; Zongheng Yang; Davies Liu; Eric Liang; Hossein Falaki; Xiangrui Meng; Reynold Xin; Ali Ghodsi 002; Michael J. Franklin; Ion Stoica; Matei Zaharia (SIGMOD Conference, 2016)

Tacotron: Towards End-to-End Speech Synthesis. - Yuxuan Wang 002; R. J. Skerry-Ryan; Daisy Stanton; Yonghui Wu; Ron J. Weiss; Navdeep Jaitly; Zongheng Yang; Ying Xiao; Zhifeng Chen; Samy Bengio; Quoc V. Le; Yannis Agiomyrgiannakis; et al. (INTERSPEECH, 2017)

ZipG: A Memory-efficient Graph Store for Interactive Queries. - Anurag Khandelwal; Zongheng Yang; Evan Ye; Rachit Agarwal 001; Ion Stoica (SIGMOD Conference, 2017)

Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. - Yuxuan Wang 002; R. J. Skerry-Ryan; Daisy Stanton; Yonghui Wu; Ron J. Weiss; Navdeep Jaitly; Zongheng Yang; Ying Xiao; Zhifeng Chen; Samy Bengio; Quoc V. Le; Yannis Agiomyrgiannakis; et al. (CoRR, 2017)

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. - Jonathan Shen; Ruoming Pang; Ron J. Weiss; Mike Schuster; Navdeep Jaitly; Zongheng Yang; Zhifeng Chen; Yu Zhang 033; Yuxuan Wang 002; R. J. Skerry-Ryan; Rif A. Saurous; Yannis Agiomyrgiannakis; et al. (ICASSP, 2018)

Ray: A Distributed Framework for Emerging AI Applications. - Philipp Moritz; Robert Nishihara; Stephanie Wang; Alexey Tumanov; Richard Liaw; Eric Liang; Melih Elibol; Zongheng Yang; William Paul; Michael I. Jordan; Ion Stoica (OSDI, 2018)

Learning to Optimize Join Queries With Deep Reinforcement Learning. - Sanjay Krishnan; Zongheng Yang; Ken Goldberg; Joseph M. Hellerstein; Ion Stoica (CoRR, 2018)

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. - Jonathan Shen; Patrick Nguyen; Yonghui Wu; Zhifeng Chen; Mia Xu Chen; Ye Jia; Anjuli Kannan; Tara N. Sainath; Yuan Cao 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

Selectivity Estimation with Deep Likelihood Models. - Zongheng Yang; Eric Liang; Amog Kamsetty; Chenggang Wu 001; Yan Duan; Xi Chen 022; Pieter Abbeel; Joseph M. Hellerstein; Sanjay Krishnan; Ion Stoica (CoRR, 2019)

Deep Unsupervised Cardinality Estimation. - Zongheng Yang; Eric Liang; Amog Kamsetty; Chenggang Wu 001; Yan Duan; Xi Chen 022; Pieter Abbeel; Joseph M. Hellerstein; Sanjay Krishnan; Ion Stoica (Proc. VLDB Endow., 2019)

Variable Skipping for Autoregressive Range Density Estimation. - Eric Liang; Zongheng Yang; Ion Stoica; Pieter Abbeel; Yan Duan; Xi Chen 022 (ICML, 2020)

Qd-tree: Learning Data Layouts for Big Data Analytics. - Zongheng Yang; Badrish Chandramouli; Chi Wang 001; Johannes Gehrke; Yinan Li; Umar Farooq Minhas; Per-Åke Larson; Donald Kossmann; Rajeev Acharya (SIGMOD Conference, 2020)

NeuroCard: One Cardinality Estimator for All Tables. - Zongheng Yang; Amog Kamsetty; Sifei Luan 001; Eric Liang; Yan Duan; Xi Chen 022; Ion Stoica (Proc. VLDB Endow., 2020)

Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples. - Shuo Sun; Hongxu Hou; Nier Wu; Zongheng Yang; Yisong Wang; Pengcong Wang; Weichen Jian (CCMT, 2022)

Hot-Start Transfer Learning Combined with Approximate Distillation for Mongolian-Chinese Neural Machine Translation. - Pengcong Wang; Hongxu Hou; Shuo Sun; Nier Wu; Weichen Jian; Zongheng Yang; Yisong Wang (CCMT, 2022)

Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation. - Yisong Wang; Hongxu Hou; Shuo Sun; Nier Wu; Weichen Jian; Zongheng Yang; Pengcong Wang (CCMT, 2022)

Dynamic Fusion Nearest Neighbor Machine Translation via Dempster-Shafer Theory. - Zongheng Yang; Hongxu Hou; Shuo Sun; Nier Wu; Yisong Wang; Weichen Jian; Pengcong Wang (CCMT, 2022)

Generating Adversarial Examples for Low-Resource NMT via Multi-Reward Reinforcement Learning. - Shuo Sun; Hongxu Hou; Zongheng Yang; Yisong Wang; Nier Wu (ICTAI, 2022)

Multimodal Neural Machine Translation for Mongolian to Chinese. - Weichen Jian; Hongxu Hou; Nier Wu; Shuo Sun; Zongheng Yang; Yisong Wang; Pengcong Wang (IJCNN, 2022)

Balsa: Learning a Query Optimizer Without Expert Demonstrations. - Zongheng Yang; Wei-Lin Chiang; Sifei Luan 001; Gautam Mittal; Michael Luo; Ion Stoica (SIGMOD Conference, 2022)

Machine Learning for Query Optimization - Zongheng Yang (2022)

Multilingual Pre-training Model-Assisted Contrastive Learning Neural Machine Translation. - Shuo Sun; Hongxu Hou; Zongheng Yang; Yisong Wang (IJCNN, 2023)

Faster and More Robust Low-Resource Nearest Neighbor Machine Translation. - Shuo Sun; Hongxu Hou; Zongheng Yang; Yisong Wang (NLPCC (2), 2023)

SkyPilot: An Intercloud Broker for Sky Computing. - Zongheng Yang; Zhanghao Wu; Michael Luo; Wei-Lin Chiang; Romil Bhardwaj; Woosuk Kwon; Siyuan Zhuang; Frank Sifei Luan; Gautam Mittal; Scott Shenker; Ion Stoica (NSDI, 2023)

When SkyPilot meets Kubernetes. - Gil Vernik; Ronen I. Kat; Omer Joshua Cohen; Zongheng Yang (SYSTOR, 2023)

Can't Be Late: Optimizing Spot Instance Savings under Deadlines. - Zhanghao Wu; Wei-Lin Chiang; Ziming Mao; Zongheng Yang; Eric J. Friedman; Scott Shenker; Ion Stoica (NSDI, 2024)

SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. - Ziming Mao; Tian Xia; Zhanghao Wu; Wei-Lin Chiang; Tyler Griggs; Romil Bhardwaj; Zongheng Yang; Scott Shenker; Ion Stoica (EuroSys, 2025)