Zongheng Yang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Dempster Shafer

Machine Translation

Selectivity Estimation

Reinforcement Learning

Top Venues

SIGMOD Conference

Publications

Zhanghao Wu, Wei-Lin Chiang, Ziming Mao, Zongheng Yang, Eric J. Friedman, Scott Shenker, Ion Stoica
Can't Be Late: Optimizing Spot Instance Savings under Deadlines. NSDI (2024)
Gil Vernik, Ronen I. Kat, Omer Joshua Cohen, Zongheng Yang
When SkyPilot meets Kubernetes. SYSTOR (2023)
Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang
Multilingual Pre-training Model-Assisted Contrastive Learning Neural Machine Translation. IJCNN (2023)
Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica
SkyPilot: An Intercloud Broker for Sky Computing. NSDI (2023)
Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang
Faster and More Robust Low-Resource Nearest Neighbor Machine Translation. NLPCC (2) (2023)
Weichen Jian, Hongxu Hou, Nier Wu, Shuo Sun, Zongheng Yang, Yisong Wang, Pengcong Wang
Multimodal Neural Machine Translation for Mongolian to Chinese. IJCNN (2022)
Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang, Nier Wu
Generating Adversarial Examples for Low-Resource NMT via Multi-Reward Reinforcement Learning. ICTAI (2022)
Yisong Wang, Hongxu Hou, Shuo Sun, Nier Wu, Weichen Jian, Zongheng Yang, Pengcong Wang
Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation. CCMT (2022)
Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
Balsa: Learning a Query Optimizer Without Expert Demonstrations. SIGMOD Conference (2022)
Zongheng Yang, Hongxu Hou, Shuo Sun, Nier Wu, Yisong Wang, Weichen Jian, Pengcong Wang
Dynamic Fusion Nearest Neighbor Machine Translation via Dempster-Shafer Theory. CCMT (2022)
Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
Balsa: Learning a Query Optimizer Without Expert Demonstrations. CoRR (2022)
Pengcong Wang, Hongxu Hou, Shuo Sun, Nier Wu, Weichen Jian, Zongheng Yang, Yisong Wang
Hot-Start Transfer Learning Combined with Approximate Distillation for Mongolian-Chinese Neural Machine Translation. CCMT (2022)
Shuo Sun, Hongxu Hou, Nier Wu, Zongheng Yang, Yisong Wang, Pengcong Wang, Weichen Jian
Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples. CCMT (2022)
Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
NeuroCard: One Cardinality Estimator for All Tables. CoRR (2020)
Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
Variable Skipping for Autoregressive Range Density Estimation. CoRR (2020)
Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
Variable Skipping for Autoregressive Range Density Estimation. ICML (2020)
Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya
Qd-tree: Learning Data Layouts for Big Data Analytics. CoRR (2020)
Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
NeuroCard: One Cardinality Estimator for All Tables. Proc. VLDB Endow. 14 (1) (2020)
Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya
Qd-tree: Learning Data Layouts for Big Data Analytics. SIGMOD Conference (2020)
Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
Selectivity Estimation with Deep Likelihood Models. CoRR (2019)
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
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR (2019)
Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
Deep Unsupervised Cardinality Estimation. Proc. VLDB Endow. 13 (3) (2019)
Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, RJ-Skerrv Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. ICASSP (2018)
Sanjay Krishnan, Zongheng Yang, Ken Goldberg, Joseph M. Hellerstein, Ion Stoica
Learning to Optimize Join Queries With Deep Reinforcement Learning. CoRR (2018)
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica
Ray: A Distributed Framework for Emerging AI Applications. OSDI (2018)
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
Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. CoRR (2017)
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
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. CoRR (2017)
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
Tacotron: Towards End-to-End Speech Synthesis. INTERSPEECH (2017)
Anurag Khandelwal, Zongheng Yang, Evan Ye, Rachit Agarwal, Ion Stoica
ZipG: A Memory-efficient Graph Store for Interactive Queries. SIGMOD Conference (2017)
Shivaram Venkataraman, Zongheng Yang, Michael J. Franklin, Benjamin Recht, Ion Stoica
Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics. NSDI (2016)
Shivaram Venkataraman, Zongheng Yang, Davies Liu, Eric Liang, Hossein Falaki, Xiangrui Meng, Reynold Xin, Ali Ghodsi, Michael J. Franklin, Ion Stoica, Matei Zaharia
SparkR: Scaling R Programs with Spark. SIGMOD Conference (2016)