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Jiahao Su
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2020 – today
- 2024
- [c8]Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang:
LEMON: Lossless model expansion. ICLR 2024 - [i12]Tahseen Rabbani, Jiahao Su, Xiaoyu Liu, David Chan, Geoffrey Sangston, Furong Huang:
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks. CoRR abs/2401.03384 (2024) - 2023
- [i11]Peijian Ding, Davit Soselia, Thomas Armstrong, Jiahao Su, Furong Huang:
Reviving Shift Equivariance in Vision Transformers. CoRR abs/2306.07470 (2023) - [i10]Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang:
LEMON: Lossless model expansion. CoRR abs/2310.07999 (2023) - [i9]Guodong Du, Haojian Deng, Jiahao Su, Yuan Huang:
End-to-end Rain Streak Removal with RAW Images. CoRR abs/2312.13304 (2023) - 2022
- [b1]Jiahao Su:
Spectral Methods for Neural Network Designs. University of Maryland, College Park, MD, USA, 2022 - [j1]Jiahao Su, Jingling Li, Xiaoyu Liu, Teresa M. Ranadive, Christopher J. Coley, Tai-Ching Tuan, Furong Huang:
Compact Neural Architecture Designs by Tensor Representations. Frontiers Artif. Intell. 5: 728761 (2022) - [c7]Xiaoyu Liu, Jiahao Su, Furong Huang:
Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency. ICLR 2022 - [c6]Jiahao Su, Wonmin Byeon, Furong Huang:
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework. ICML 2022: 20546-20579 - [c5]Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao:
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. NeurIPS 2022 - [i8]Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao:
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. CoRR abs/2211.00824 (2022) - 2021
- [i7]Jiahao Su, Wonmin Byeon, Furong Huang:
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework. CoRR abs/2106.09121 (2021) - [i6]Huimin Zeng, Jiahao Su, Furong Huang:
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders. CoRR abs/2108.00491 (2021) - 2020
- [c4]Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang:
Understanding Generalization in Deep Learning via Tensor Methods. AISTATS 2020: 504-515 - [c3]Jiahao Su, Milan Cvitkovic, Furong Huang:
Sampling-Free Learning of Bayesian Quantized Neural Networks. ICLR 2020 - [c2]Jiahao Su, Shiqi Wang, Furong Huang:
ARMA Nets: Expanding Receptive Field for Dense Prediction. NeurIPS 2020 - [c1]Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar:
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning. NeurIPS 2020 - [i5]Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang:
Understanding Generalization in Deep Learning via Tensor Methods. CoRR abs/2001.05070 (2020) - [i4]Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar:
Convolutional Tensor-Train LSTM for Spatio-temporal Learning. CoRR abs/2002.09131 (2020) - [i3]Jiahao Su, Shiqi Wang, Furong Huang:
ARMA Nets: Expanding Receptive Field for Dense Prediction. CoRR abs/2002.11609 (2020)
2010 – 2019
- 2019
- [i2]Jiahao Su, Milan Cvitkovic, Furong Huang:
Sampling-Free Learning of Bayesian Quantized Neural Networks. CoRR abs/1912.02992 (2019) - 2018
- [i1]Jiahao Su, Jingling Li, Bobby Bhattacharjee, Furong Huang:
Tensorized Spectrum Preserving Compression for Neural Networks. CoRR abs/1805.10352 (2018)
Coauthor Index
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last updated on 2024-08-08 19:18 CEST by the dblp team
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