Jiahao Su

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Primary Visual Cortex

Top Venues

Publications

Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
LEMON: Lossless model expansion. ICLR (2024)
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 (2024)
Peijian Ding, Davit Soselia, Thomas Armstrong, Jiahao Su, Furong Huang
Reviving Shift Equivariance in Vision Transformers. CoRR (2023)
Guodong Du, Haojian Deng, Jiahao Su, Yuan Huang
End-to-end Rain Streak Removal with RAW Images. CoRR (2023)
Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
LEMON: Lossless model expansion. CoRR (2023)
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 (2022)
Xiaoyu Liu, Jiahao Su, Furong Huang
Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency. ICLR (2022)
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)
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 (2022)
Jiahao Su, Wonmin Byeon, Furong Huang
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework. ICML (2022)
Huimin Zeng, Jiahao Su, Furong Huang
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders. CoRR (2021)
Jiahao Su, Wonmin Byeon, Furong Huang
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework. CoRR (2021)
Jiahao Su, Shiqi Wang, Furong Huang
ARMA Nets: Expanding Receptive Field for Dense Prediction. CoRR (2020)
Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang
Understanding Generalization in Deep Learning via Tensor Methods. CoRR (2020)
Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning. NeurIPS (2020)
Jiahao Su, Shiqi Wang, Furong Huang
ARMA Nets: Expanding Receptive Field for Dense Prediction. NeurIPS (2020)
Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar
Convolutional Tensor-Train LSTM for Spatio-temporal Learning. CoRR (2020)
Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang
Understanding Generalization in Deep Learning via Tensor Methods. AISTATS (2020)
Jiahao Su, Milan Cvitkovic, Furong Huang
Sampling-Free Learning of Bayesian Quantized Neural Networks. ICLR (2020)
Jiahao Su, Milan Cvitkovic, Furong Huang
Sampling-Free Learning of Bayesian Quantized Neural Networks. CoRR (2019)
Jiahao Su, Jingling Li, Bobby Bhattacharjee, Furong Huang
Tensorized Spectrum Preserving Compression for Neural Networks. CoRR (2018)