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Career

· Applied Machine Learning, ByteDance2020–2020
· PHD, University of California, Berkeley2020–2024
· Research Assistant, Massachusetts Institute of Technology2019–2020
· Undergraduate Researcher, Shanghai Jiao Tong University2018–2019

Publications (13)

Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Neural Information Processing Systems · 2023
6,903
cited
Representing Long-Range Context for Graph Neural Networks with Global Attention
Neural Information Processing Systems · 2022
380
cited
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
International Conference on Learning Representations · 2023
346
cited
SkyPilot: An Intercloud Broker for Sky Computing
Symposium on Networked Systems Design and Implementation · 2023
99
cited
This paper is included in the Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation.
28
cited
Data Augmentation Using Deep Generative Models for Embedding Based Speaker Recognition
2020
Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification
2019
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference
2020
Distributed Reinforcement Learning is a Dataflow Problem
2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
2020
Lite Transformer with Long-Short Range Attention
2020
On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning
2019
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
2020
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