Zhanghao Wu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Speaker Verification

Natural Language

Neural Architecture

Top Venues

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)
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
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. ICLR (2024)
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
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. CoRR (2023)
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
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. CoRR (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)
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
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. NeurIPS (2023)
Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica
Representing Long-Range Context for Graph Neural Networks with Global Attention. CoRR (2022)
Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica
Representing Long-Range Context for Graph Neural Networks with Global Attention. NeurIPS (2021)
Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E. Gonzalez, Ion Stoica
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem. NeurIPS (2021)
Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference. ECCV (11) (2020)
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han
Lite Transformer with Long-Short Range Attention. CoRR (2020)
Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica
Distributed Reinforcement Learning is a Dataflow Problem. CoRR (2020)
Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. ACL (2020)
Shuai Wang, Yexin Yang, Zhanghao Wu, Yanmin Qian, Kai Yu
Data Augmentation Using Deep Generative Models for Embedding Based Speaker Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. CoRR (2020)
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han
Lite Transformer with Long-Short Range Attention. ICLR (2020)
Han Cai, Tianzhe Wang, Zhanghao Wu, Kuan Wang, Ji Lin, Song Han
On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning. ICCV Workshops (2019)
Zhanghao Wu, Shuai Wang, Yanmin Qian, Kai Yu
Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification. INTERSPEECH (2019)