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Zhanghao Wu
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2020 – today
- 2024
- [c11]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 - [c10]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: 185-203 - 2023
- [c9]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 - [c8]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: 437-455 - [i6]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 abs/2306.05685 (2023) - [i5]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 abs/2309.11998 (2023) - 2022
- [i4]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 abs/2201.08821 (2022) - 2021
- [c7]Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E. Gonzalez, Ion Stoica:
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem. NeurIPS 2021: 5506-5517 - [c6]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: 13266-13279 - 2020
- [j1]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: 2598-2609 (2020) - [c5]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: 7675-7688 - [c4]Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han:
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference. ECCV (11) 2020: 578-595 - [c3]Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han:
Lite Transformer with Long-Short Range Attention. ICLR 2020 - [i3]Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han:
Lite Transformer with Long-Short Range Attention. CoRR abs/2004.11886 (2020) - [i2]Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han:
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. CoRR abs/2005.14187 (2020) - [i1]Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica:
Distributed Reinforcement Learning is a Dataflow Problem. CoRR abs/2011.12719 (2020)
2010 – 2019
- 2019
- [c2]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: 2509-2513 - [c1]Zhanghao Wu, Shuai Wang, Yanmin Qian, Kai Yu:
Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification. INTERSPEECH 2019: 1163-1167
Coauthor Index
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last updated on 2024-07-30 20:42 CEST by the dblp team
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