Zongheng Yang

According to our database, Zongheng Yang authored at least 27 papers between 2016 and 2024.

Collaborative distances:

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

2024

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

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023

When SkyPilot meets Kubernetes.

Gil Vernik, Ronen I. Kat, Omer Joshua Cohen, Zongheng Yang

Proceedings of the 16th ACM International Conference on Systems and Storage, 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

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Faster and More Robust Low-Resource Nearest Neighbor Machine Translation.

Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Multilingual Pre-training Model-Assisted Contrastive Learning Neural Machine Translation.

Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Machine Learning for Query Optimization

Zongheng Yang

PhD thesis, 2022

Balsa: Learning a Query Optimizer Without Expert Demonstrations.

Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Multimodal Neural Machine Translation for Mongolian to Chinese.

Weichen Jian, Hongxu Hou, Nier Wu, Shuo Sun, Zongheng Yang, Yisong Wang, Pengcong Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

Generating Adversarial Examples for Low-Resource NMT via Multi-Reward Reinforcement Learning.

Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang, Nier Wu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 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

Proceedings of the Machine Translation - 18th China Conference, 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

Proceedings of the Machine Translation - 18th China Conference, 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

Proceedings of the Machine Translation - 18th China Conference, 2022

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

Proceedings of the Machine Translation - 18th China Conference, 2022

2020

NeuroCard: One Cardinality Estimator for All Tables.

Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica

Proc. VLDB Endow., 2020

Qd-tree: Learning Data Layouts for Big Data Analytics.

Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya

Proceedings of the 2020 International Conference on Management of Data, 2020

Variable Skipping for Autoregressive Range Density Estimation.

Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Deep Unsupervised Cardinality Estimation.

Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica

Proc. VLDB Endow., 2019

Selectivity Estimation with Deep Likelihood Models.

Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica

CoRR, 2019

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, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon

CoRR, 2019

2018

Learning to Optimize Join Queries With Deep Reinforcement Learning.

Sanjay Krishnan, Zongheng Yang, Ken Goldberg, Joseph M. Hellerstein, Ion Stoica

CoRR, 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

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

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, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model.

Yuxuan Wang, 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, Rob Clark, Rif A. Saurous

CoRR, 2017

ZipG: A Memory-efficient Graph Store for Interactive Queries.

Anurag Khandelwal, Zongheng Yang, Evan Ye, Rachit Agarwal, Ion Stoica

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Tacotron: Towards End-to-End Speech Synthesis.

Yuxuan Wang, 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, Rob Clark, Rif A. Saurous

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016

SparkR: Scaling R Programs with Spark.

Shivaram Venkataraman, Zongheng Yang, Davies Liu, Eric Liang, Hossein Falaki, Xiangrui Meng, Reynold Xin, Ali Ghodsi, Michael J. Franklin, Ion Stoica, Matei Zaharia

Proceedings of the 2016 International Conference on Management of Data, 2016

Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics.

Shivaram Venkataraman, Zongheng Yang, Michael J. Franklin, Benjamin Recht, Ion Stoica

Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation, 2016