Zhen Qin
Orcid: 0009-0005-9856-0843Affiliations:
- SenseTime Research, Shanghai, China
According to our database1,
Zhen Qin
authored at least 27 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on dl.acm.org
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Bibliography
2025
Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective.
CoRR, July, 2025
J. King Saud Univ. Comput. Inf. Sci., 2025
Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
CoRR, 2024
Unlocking the Secrets of Linear Complexity Sequence Model from A Unified Perspective.
CoRR, 2024
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models.
CoRR, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022