Zhanghao Wu

According to our database, Zhanghao Wu authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

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

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset.

Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Representing Long-Range Context for Graph Neural Networks with Global Attention.

Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem.

Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E. Gonzalez, Ion Stoica

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Data Augmentation Using Deep Generative Models for Embedding Based Speaker Recognition.

Shuai Wang, Yexin Yang, Zhanghao Wu, Yanmin Qian, Kai Yu

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Distributed Reinforcement Learning is a Dataflow Problem.

Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica

CoRR, 2020

Lite Transformer with Long-Short Range Attention.

Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han

Proceedings of the 8th International Conference on Learning Representations, 2020

DataMix: Efficient Privacy-Preserving Edge-Cloud Inference.

Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han

Proceedings of the Computer Vision - ECCV 2020, 2020

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing.

Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification.

Zhanghao Wu, Shuai Wang, Yanmin Qian, Kai Yu

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning.

Han Cai, Tianzhe Wang, Zhanghao Wu, Kuan Wang, Ji Lin, Song Han

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019