Zongheng Yang - RankMe

34 papers A* 2A 2B 3Misc 5Journal 12Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. EuroSys Ziming Mao, Tian Xia, Zhanghao Wu, Wei-Lin Chiang, Tyler Griggs, Romil Bhardwaj, Zongheng Yang, Scott Shenker, Ion Stoica
2024	Misc	`conf`	Can't Be Late: Optimizing Spot Instance Savings under Deadlines. NSDI Zhanghao Wu, Wei-Lin Chiang, Ziming Mao, Zongheng Yang, Eric J. Friedman, Scott Shenker, Ion Stoica
2024	J	`jnl`	SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. CoRR Ziming Mao, Tian Xia, Zhanghao Wu, Wei-Lin Chiang, Tyler Griggs, Romil Bhardwaj, Zongheng Yang, Scott Shenker, Ion Stoica
2023	—	`conf`	Faster and More Robust Low-Resource Nearest Neighbor Machine Translation. NLPCC (2) Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang
2023	B	`conf`	Multilingual Pre-training Model-Assisted Contrastive Learning Neural Machine Translation. IJCNN Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang
2023	Misc	`conf`	SkyPilot: An Intercloud Broker for Sky Computing. NSDI Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica
2023	Misc	`conf`	When SkyPilot meets Kubernetes. SYSTOR Gil Vernik, Ronen I. Kat, Omer Joshua Cohen, Zongheng Yang
2022	—	`conf`	Balsa: Learning a Query Optimizer Without Expert Demonstrations. SIGMOD Conference Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
2022	J	`jnl`	Balsa: Learning a Query Optimizer Without Expert Demonstrations. CoRR Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
2022	—	`conf`	Dynamic Fusion Nearest Neighbor Machine Translation via Dempster-Shafer Theory. CCMT Zongheng Yang, Hongxu Hou, Shuo Sun, Nier Wu, Yisong Wang, Weichen Jian, Pengcong Wang
2022	—	`conf`	Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation. CCMT Yisong Wang, Hongxu Hou, Shuo Sun, Nier Wu, Weichen Jian, Zongheng Yang, Pengcong Wang
2022	B	`conf`	Generating Adversarial Examples for Low-Resource NMT via Multi-Reward Reinforcement Learning. ICTAI Shuo Sun, Hongxu Hou, Zongheng Yang, Yisong Wang, Nier Wu
2022	—	`conf`	Hot-Start Transfer Learning Combined with Approximate Distillation for Mongolian-Chinese Neural Machine Translation. CCMT Pengcong Wang, Hongxu Hou, Shuo Sun, Nier Wu, Weichen Jian, Zongheng Yang, Yisong Wang
2022	—	`conf`	Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples. CCMT Shuo Sun, Hongxu Hou, Nier Wu, Zongheng Yang, Yisong Wang, Pengcong Wang, Weichen Jian
2022	—	`—`	Machine Learning for Query Optimization Zongheng Yang
2022	B	`conf`	Multimodal Neural Machine Translation for Mongolian to Chinese. IJCNN Weichen Jian, Hongxu Hou, Nier Wu, Shuo Sun, Zongheng Yang, Yisong Wang, Pengcong Wang
2020	J	`jnl`	NeuroCard: One Cardinality Estimator for All Tables. CoRR Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
2020	J	`jnl`	NeuroCard: One Cardinality Estimator for All Tables. Proc. VLDB Endow. Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica
2020	—	`conf`	Qd-tree: Learning Data Layouts for Big Data Analytics. SIGMOD Conference Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya
2020	J	`jnl`	Qd-tree: Learning Data Layouts for Big Data Analytics. CoRR Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya
2020	A*	`conf`	Variable Skipping for Autoregressive Range Density Estimation. ICML Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
2020	J	`jnl`	Variable Skipping for Autoregressive Range Density Estimation. CoRR Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen
2019	J	`jnl`	Deep Unsupervised Cardinality Estimation. Proc. VLDB Endow. Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
2019	J	`jnl`	Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR 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
2019	J	`jnl`	Selectivity Estimation with Deep Likelihood Models. CoRR Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica
2018	J	`jnl`	Learning to Optimize Join Queries With Deep Reinforcement Learning. CoRR Sanjay Krishnan, Zongheng Yang, Ken Goldberg, Joseph M. Hellerstein, Ion Stoica
2018	Misc	`conf`	Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. ICASSP 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
2018	A*	`conf`	Ray: A Distributed Framework for Emerging AI Applications. OSDI Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica
2017	J	`jnl`	Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. CoRR 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
2017	J	`jnl`	Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. CoRR 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
2017	A	`conf`	Tacotron: Towards End-to-End Speech Synthesis. INTERSPEECH 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
2017	—	`conf`	ZipG: A Memory-efficient Graph Store for Interactive Queries. SIGMOD Conference Anurag Khandelwal, Zongheng Yang, Evan Ye, Rachit Agarwal, Ion Stoica
2016	Misc	`conf`	Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics. NSDI Shivaram Venkataraman, Zongheng Yang, Michael J. Franklin, Benjamin Recht, Ion Stoica
2016	—	`conf`	SparkR: Scaling R Programs with Spark. SIGMOD Conference Shivaram Venkataraman, Zongheng Yang, Davies Liu, Eric Liang, Hossein Falaki, Xiangrui Meng, Reynold Xin, Ali Ghodsi, Michael J. Franklin, Ion Stoica, Matei Zaharia