I am currently an applied scientist at Amazon Rufus, building LLM-powered Shopping Agent, in Palo Alto. My recent work focuses on building scalable and self-evolving multi-agent system in real production.
[Sep. 2022] Finished Sydney Half Marathon in 01:53:49.
[Mar. 2021] Two papers accepted by CVPR2021.
[June 2020] One paper accepted by ECCV2020.
[Sep. 2019] Finished Sydney Marathon in 04:09:24.
Publications
The World Won't Stay Still: Programmable Evolution for Agent Benchmarks Guangrui Li, Yaochen Xie, Yi Liu, Ziwei Dong, Xingyuan Pan, et al.
Preprint, 2026
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Robustness Preserving Fine-tuning using Neuron Importance Guangrui Li, Rahul Duggal, Aaditya Singh, Kaustav Kundu, Bing Shuai, Jonathan Wu
ECCV, 2024
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Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation Guangrui Li CVPR, 2024
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Generalizable Visual Understanding with Deep Neural Networks Guangrui Li Ph.D. Thesis, 2023
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Adversarially Masking Synthetic to Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation Guangrui Li, Guoliang Kang, Xiaohan Wang, Yunchao Wei, Yi Yang
CVPR, 2023
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Decompose to Generalize: Species-Generalized Animal Pose Estimation Guangrui Li, Yifan Sun, Zongxin Yang, Yi Yang
ICLR, 2023
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Domain Consensus Clustering for Universal Domain Adaptation Guangrui Li, Guoliang Kang, Yi Zhu, Yunchao Wei, Yi Yang
CVPR, 2021
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VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild
Jiaxu Miao, Yunchao Wei, Yu Wu, Chen Liang, Guangrui Li, Yi Yang
CVPR, 2021
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Content-Consistent Matching for Domain Adaptive Semantic Segmentation Guangrui Li*, Guoliang Kang*, Wu Liu, Yunchao Wei, Yi Yang (* Equal Contribution)
ECCV, 2020
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