Weili Nie
I am a Senior Research Scientist in Fundamental Generative AI Research Team at NVIDIA Research.
I got my PhD from the ECE Department at Rice University, advised by Ankit B. Patel.
Prior to joining Rice, I got my BS degree from Huazhong University of Science and Technology
(HUST) and MS degree from Southeast University.
During my PhD studies, I have done several internships at NVIDIA Research and VMware
Research.
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Research
My current research mainly focuses on deep generative models and their applications to
real-world problems.
I have also been working on model robustness and compositional generalization.
I'm looking for research interns to work on both fundamental and applied aspects of deep generative models.
Publications
Advances in Neural Information Processing Systems (NeurIPS), 2024
Advances in Neural Information Processing Systems (NeurIPS), 2024
Advances in Neural Information Processing Systems (NeurIPS), 2024
(†Equal Advising)
ACM SIGGRAPH Asia, 2024
(†Equal Advising)
International Conference on Machine Learning (ICML) , 2024
Transactions on Machine Learning Research (TMLR), 2024
(*Equal Contribution)
International Conference on Learning Representations (ICLR), 2024
Nature Machine Intelligence, 2024
Transactions on Machine Learning Research (TMLR) , 2024
Nature Machine Intelligence, 2023
Zhuolin Yang,
Wei Ping,
Zihan Liu,
Vijay Korthikanti,
Weili Nie,
De-An Huang,
Linxi Fan,
Zhiding Yu,
Shiyi Lan,
Bo Li,
Ming-Yu Liu,
Yuke Zhu,
Mohammad Shoeybi,
Bryan Catanzaro,
Chaowei Xiao,
Anima Anandkumar
Findings of Empirical Methods in Natural Language Processing (EMNLP) , 2023
International Conference on Machine Learning (ICML) , 2023
International Conference on Machine Learning (ICML) , 2023
(†Equal Advising)
International Conference on Machine Learning (ICML) , 2023
Transactions on Machine Learning Research (TMLR) , 2023
International Conference on Learning Representations (ICLR) , 2023 (Spotlight)
(*Equal Contribution)
International Conference on Learning Representations (ICLR), 2023
(*Equal Contribution)
International Conference on Learning Representations (ICLR), 2023
Advances in Neural Information Processing Systems (NeurIPS), 2022
International Conference on Machine Learning (ICML), 2022
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
(*Equal Contribution)
International Conference on Learning Representations (ICLR), 2022
Advances in Neural Information Processing Systems (NeurIPS), 2021
Advances in Neural Information Processing Systems (NeurIPS), 2020 (Spotlight)
International Conference on Machine Learning (ICML), 2020
Uncertainty in Artificial Intelligence (UAI), 2019 (Oral)
International Conference on Learning Representations (ICLR), 2019
International Conference on Machine Learning (ICML), 2018
Learning at Scale (L@S) , 2018
Conference Reviewer
- ICML 2020-2023 (Outstanding reviewer in 2022)
- NeurIPS 2020-2022 (Top 10% of high-scoring reviewers in 2020)
- ICLR 2021-2023
- AAAI 2020-2022
- IJCAI 2021
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