Tensorized Spectrum Preserving Compression for Neural Networks. - Jiahao Su; Jingling Li; Bobby Bhattacharjee; Furong Huang (CoRR, 2018)

Understanding Generalization in Deep Learning via Tensor Methods. - Jingling Li; Yanchao Sun; Jiahao Su; Taiji Suzuki; Furong Huang (AISTATS, 2020)

Sampling-Free Learning of Bayesian Quantized Neural Networks. - Jiahao Su; Milan Cvitkovic; Furong Huang (ICLR, 2020)

ARMA Nets: Expanding Receptive Field for Dense Prediction. - Jiahao Su; Shiqi Wang 003; Furong Huang (NeurIPS, 2020)

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning. - Jiahao Su; Wonmin Byeon; Jean Kossaifi; Furong Huang; Jan Kautz; Anima Anandkumar (NeurIPS, 2020)

Convolutional Tensor-Train LSTM for Spatio-temporal Learning. - Jiahao Su; Wonmin Byeon; Furong Huang; Jan Kautz; Animashree Anandkumar (CoRR, 2020)

Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework. - Jiahao Su; Wonmin Byeon; Furong Huang (CoRR, 2021)

Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders. - Huimin Zeng 001; Jiahao Su; Furong Huang (CoRR, 2021)

Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency. - Xiaoyu Liu 003; Jiahao Su; Furong Huang (ICLR, 2022)

Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework. - Jiahao Su; Wonmin Byeon; Furong Huang (ICML, 2022)

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. - Kaiwen Yang; Yanchao Sun; Jiahao Su; Fengxiang He; Xinmei Tian 001; Furong Huang; Tianyi Zhou 001; Dacheng Tao (NeurIPS, 2022)

Compact Neural Architecture Designs by Tensor Representations. - Jiahao Su; Jingling Li; Xiaoyu Liu 003; Teresa M. Ranadive; Christopher J. Coley; Tai-Ching Tuan; Furong Huang (Frontiers Artif. Intell., 2022)

Spectral Methods for Neural Network Designs. - Jiahao Su (2022)

Reviving Shift Equivariance in Vision Transformers. - Peijian Ding; Davit Soselia; Thomas Armstrong; Jiahao Su; Furong Huang (CoRR, 2023)

End-to-end Rain Streak Removal with RAW Images. - Guodong Du 004; Haojian Deng; Jiahao Su; Yuan Huang (CoRR, 2023)

Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion. - Jiahao Su; Kang You; Zekai Xu; Weizhi Xu 001; Zhezhi He (ICANN (10), 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 (ICARM, 2024)

LEMON: Lossless model expansion. - Yite Wang; Jiahao Su; Hanlin Lu; Cong Xie; Tianyi Liu; Jianbo Yuan; Haibin Lin; Ruoyu Sun 001; Hongxia Yang (ICLR, 2024)

conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks. - Tahseen Rabbani; Jiahao Su; Xiaoyu Liu 003; David Chan; Geoffrey Sangston; Furong Huang (CoRR, 2024)

FullStack Bench: Evaluating LLMs as Full Stack Coders. - Yao Cheng; Jianfeng Chen; Jie Chen; Li Chen; Liyu Chen; Wentao Chen; Zhengyu Chen; Shijie Geng; Aoyan Li; Bo Li; Bowen Li; Linyi Li; et al. (CoRR, 2024)

Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing. - Shichao Ma; Yunhe Guo; Jiahao Su; Qihe Huang; Zhengyang Zhou; Yang Wang (CoRR, 2025)