I'm a Research Scientist at Google DeepMind, working on multi-modal generative models. My research aims at developing efficient, scalable, and interpretable ML algorithms, models and systems. Preveiouly I was an Applied Scientist at Amazon AGI, where I built image/video generation and understanding models including Nova Canvas, Nova Reel, Titan Image Generator, and Custom Labels. I completed my PhD at University of Maryland, College Park, worked with Prof. Tom Goldstein and Prof. Hanan Samet on accelerating and understanding deep neural networks.
News
- [11/2024] Amazon Nova Canvas and Nova Reel are launched at AWS re:Invent 2024! [Tech Report]
- [02/2024] "On the Scalability of Diffusion-based Text-to-Image Generation" is accepted in CVPR 2024 (arXiv).
- [11/2023] AWS Titan Image Generator is launched at AWS re:Invent 2023!
- [02/2023] "Guided Recommendation for Model Fine-Tuning" is accepted in CVPR 2023.
Selected Publications
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Efficient Scaling of Diffusion Transformers for Text-to-Image Generation Hao Li, Shamit Lal, Zhiheng Li, Yusheng Xie, Ying Wang, Yang Zou, Orchid Majumder, Aditya Golatkar, Chengwei Su, R. Manmatha, Zhuowen Tu, Stefano Ermon, Stefano Soatto, Ashwin Swaminathan arXiv 2024 [ pdf ] |
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On the Scalability of Diffusion-based Text-to-Image Generation Hao Li, Yang Zou, Ying Wang, Orchid Majumder, Yusheng Xie, R. Manmatha, Ashwin Swaminathan, Zhuowen Tu, Stefano Ermon, Stefano Soatto CVPR 2024 [ pdf ] |
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Guided Recommendation for Model Fine-Tuning Hao Li, Charless Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto CVPR 2023 [ pdf / video / poster ] |
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Task Adaptive Parameter Sharing for Multi-Task Learning Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless Fowlkes, Rahul Bhotika, Stefano Soatto CVPR 2022 |
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Rethinking the Hyperparameters for Fine-tuning Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto ICLR 2020 [video] |
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Visualizing the Loss Landscape of Neural Nets Hao Li, Zheng Xu, Gavin Taylor, Christoph Studer, Tom Goldstein NeurIPS 2018 [project / code / poster] |
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Training Quantized Nets: A Deeper Understanding Hao Li*, Soham De*, Zheng Xu, Christoph Studer, Hanan Samet, Tom Goldstein NeurIPS 2017 [poster] ICML 2017 PADL Workshop [slides] Google Best Student Paper |
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Pruning Filters for Efficient ConvNets Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, Hans Peter Graf ICLR 2017 [poster] |
Dissertation
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Towards Fast and Efficient Representation Learning Hao Li University of Maryland, College Park, Aug 2018 [slides] |
Academic Services
- Journal Reviewer​
- Journal of Machine Learning Research (JMLR) (editorial board reviewer)
- International Journal of Computer Vision (IJCV)
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Neural Network and Learning Systems (TNNLS)
- IEEE Transactions on Multimedia (TMM)
- Neurocomputing
- Conference Reviewer
- NeurIPS, ICML, ICLR, ICCV, CVPR, ECCV, KDD, AAAI