Publications

2024

1. NAACL

   Adaptive Rank Selections for Low-Rank Approximation of Language Models

   Shangqian Gao, Ting Hua, Yen-Chang Hsu, and 2 more authors

   In Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) (to appear), 2024
2. CVPR

   Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch

   Xidong Wu*, Shangqian Gao*, Zeyu Zhang, and 5 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (to appear), 2024
3. CVPR

   Device-Wise Federated Network Pruning

   Shangqian Gao*, Junyi Li*, Zeyu Zhang*, and 3 more authors

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (to appear), 2024
4. CVPR

   Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment

   Alireza Ganjdanesh*, Shangqian Gao*, and Heng Huang

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (to appear), 2024
5. CVPR

   BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks

   Shangqian Gao, Yanfu Zhang, Feihu Huang, and 1 more author

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (to appear), 2024
6. AAAI

   Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold

   Alireza Ganjdanesh*, Shangqian Gao*, and Heng Huang

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) (to appear), 2024
7. WACV

   Token Fusion: Bridging the Gap between Token Pruning and Token Merging

   Minchul Kim, Shangqian Gao, Yen-Chang Hsu, and 2 more authors

   In Winter Conference on Computer Vision (WACV), 2024

2023

1. ICLR

   Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models

   Shangqian Gao, Burak Uzkent, Yilin Shen, and 2 more authors

   In International Conference on Learning Representations (ICLR), 2023
2. AAAI

   EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs

   Alireza Ganjdanesh, Shangqian Gao, and Heng Huang

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023
3. ICCV

   Structural alignment for network pruning through partial regularization

   Shangqian Gao, Zeyu Zhang, Yanfu Zhang, and 2 more authors

   Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
4. TPAMI

   Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds

   Feihu Huang, and Shangqian Gao

   IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2023
5. EMNLP

   Dynamic Low-rank Estimation for Transformer-based Language Models

   Ting Hua*, Xiao Li*, Shangqian Gao, and 3 more authors

   In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing Findings (EMNLP findings) (to appear), 2023

2022

1. ICLR

   Bregman Gradient Policy Optimization

   Feihu Huang*, Shangqian Gao*, and Heng Huang

   In International Conference on Learning Representations (ICLR), 2022
2. ECCV

   Disentangled differentiable network pruning

   Shangqian Gao, Feihu Huang, Yanfu Zhang, and 1 more author

   In European Conference on Computer Vision (ECCV), 2022
3. ECCV

   Interpretations steered network pruning via amortized inferred saliency maps

   Alireza Ganjdanesh*, Shangqian Gao*, and Heng Huang

   In European Conference on Computer Vision (ECCV), 2022
4. ECCV

   Recover fair deep classification models via altering pre-trained structure

   Yanfu Zhang, Shangqian Gao, and Heng Huang

   In European Conference on Computer Vision (ECCV), 2022
5. NN

   Riemannian gradient methods for stochastic composition problems

   Feihu Huang, and Shangqian Gao

   Neural Networks, 2022
6. JMLR

   Accelerated zeroth-order and first-order momentum methods from mini to minimax optimization

   Feihu Huang, Shangqian Gao, Jian Pei, and 1 more author

   The Journal of Machine Learning Research (JMLR), 2022
7. KDD

   Improving social network embedding via new second-order continuous graph neural networks

   Yanfu Zhang, Shangqian Gao, Jian Pei, and 1 more author

   In Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining (KDD), 2022
8. NeurIPS

   Enhanced bilevel optimization via bregman distance

   Feihu Huang, Junyi Li, Shangqian Gao, and 1 more author

   Advances in Neural Information Processing Systems, 2022

2021

1. CVPR

   Network pruning via performance maximization

   Shangqian Gao, Feihu Huang, Weidong Cai, and 1 more author

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
2. ICCV

   Exploration and estimation for model compression

   Yanfu Zhang*, Shangqian Gao*, and Heng Huang

   In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021
3. ICCV

   Adversarial attack on deep cross-modal hamming retrieval

   Chao Li*, Shangqian Gao*, Cheng Deng, and 2 more authors

   In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021
4. JMLR

   Black-box reductions for zeroth-order gradient algorithms to achieve lower query complexity

   Bin Gu, Xiyuan Wei, Shangqian Gao, and 3 more authors

   The Journal of Machine Learning Research (JMLR), 2021

2020

1. CVPR

   Discrete model compression with resource constraint for deep neural networks

   Shangqian Gao, Feihu Huang, Jian Pei, and 1 more author

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
2. ICML

   Momentum-based policy gradient methods

   Feihu Huang, Shangqian Gao, Jian Pei, and 1 more author

   In International conference on machine learning (ICML), 2020

2019

1. CVPR

   Cross Domain Model Compression by Structurally Weight Sharing

   Shangqian Gao, Cheng Deng, and Heng Huang

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2019
2. CVPR

   Cross-modal learning with adversarial samples

   Chao Li, Shangqian Gao, Cheng Deng, and 2 more authors

   Advances in neural information processing systems (NeurIPS), Jun 2019
3. IJCAI

   Zeroth-order stochastic alternating direction method of multipliers for nonconvex nonsmooth optimization

   Feihu Huang, Shangqian Gao, Songcan Chen, and 1 more author

   International Joint Conferences on Artificial Intelligence (IJCAI), Jun 2019

2018

1. AAAI

   Action prediction from videos via memorizing hard-to-predict samples

   Shangqian Gao*, Yu Kong*, Bin Sun, and 1 more author

   In Proceedings of the AAAI conference on artificial intelligence (AAAI), Jun 2018

2017

1. AAAI

   Video recovery via learning variation and consistency of images

   Zhouyuan Huo, Shangqian Gao, Weidong Cai, and 1 more author

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Jun 2017

2016

1. TMM

   Discriminative multi-instance multitask learning for 3D action recognition

   Yanhua Yang, Cheng Deng, Shangqian Gao, and 3 more authors

   IEEE Transactions on Multimedia, Jun 2016