Jiahao Su

According to our database, Jiahao Su authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks.

Tahseen Rabbani, Jiahao Su, Xiaoyu Liu, David Chan, Geoffrey Sangston, Furong Huang

CoRR, 2024

LEMON: Lossless model expansion.

Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mechanical Design of a Compliant Spine using Series Elastic Actuator for Quadruped Robot.

Jiahao Su, Siyu Liu, Chunlei Lu, Zhirui Wang, Tong Yan, Bo Su, Zhao Guo

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024

Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion.

Jiahao Su, Kang You, Zekai Xu, Weizhi Xu, Zhezhi He

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

End-to-end Rain Streak Removal with RAW Images.

Guodong Du, Haojian Deng, Jiahao Su, Yuan Huang

CoRR, 2023

Reviving Shift Equivariance in Vision Transformers.

Peijian Ding, Davit Soselia, Thomas Armstrong, Jiahao Su, Furong Huang

CoRR, 2023

2022

Spectral Methods for Neural Network Designs.

Jiahao Su

PhD thesis, 2022

Compact Neural Architecture Designs by Tensor Representations.

Jiahao Su, Jingling Li, Xiaoyu Liu, Teresa M. Ranadive, Christopher J. Coley, Tai-Ching Tuan, Furong Huang

Frontiers Artif. Intell., 2022

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach.

Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework.

Jiahao Su, Wonmin Byeon, Furong Huang

Proceedings of the International Conference on Machine Learning, 2022

Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency.

Xiaoyu Liu, Jiahao Su, Furong Huang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders.

Huimin Zeng, Jiahao Su, Furong Huang

CoRR, 2021

Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework.

Jiahao Su, Wonmin Byeon, Furong Huang

CoRR, 2021

2020

Convolutional Tensor-Train LSTM for Spatio-temporal Learning.

Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar

CoRR, 2020

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning.

Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ARMA Nets: Expanding Receptive Field for Dense Prediction.

Jiahao Su, Shiqi Wang, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sampling-Free Learning of Bayesian Quantized Neural Networks.

Jiahao Su, Milan Cvitkovic, Furong Huang

Proceedings of the 8th International Conference on Learning Representations, 2020

Understanding Generalization in Deep Learning via Tensor Methods.

Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Tensorized Spectrum Preserving Compression for Neural Networks.

Jiahao Su, Jingling Li, Bobby Bhattacharjee, Furong Huang

CoRR, 2018