Shangqian Gao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 40

Top Topics

Riemannian Manifolds

Diffusion Models

Policy Gradient

Top Venues

Publications

Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. CoRR (2024)
Shangqian Gao, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
Adaptive Rank Selections for Low-Rank Approximation of Language Models. NAACL-HLT (2024)
Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
Token Fusion: Bridging the Gap between Token Pruning and Token Merging. WACV (2024)
Alireza Ganjdanesh, Shangqian Gao, Heng Huang
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. CoRR (2024)
Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. AAAI (2024)
Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. CoRR (2024)
Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. ICLR (2023)
Feihu Huang, Shangqian Gao
Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. CoRR (2023)
Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang
Structural Alignment for Network Pruning through Partial Regularization. ICCV (2023)
Alireza Ganjdanesh, Shangqian Gao, Heng Huang
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. AAAI (2023)
Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
Token Fusion: Bridging the Gap between Token Pruning and Token Merging. CoRR (2023)
Ting Hua, Xiao Li, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
Dynamic Low-rank Estimation for Transformer-based Language Models. EMNLP (Findings) (2023)
Alireza Ganjdanesh, Shangqian Gao, Heng Huang
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. CoRR (2022)
Feihu Huang, Shangqian Gao, Heng Huang
Bregman Gradient Policy Optimization. ICLR (2022)
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization. J. Mach. Learn. Res. 23 (2022)
Feihu Huang, Shangqian Gao
Riemannian gradient methods for stochastic composition problems. Neural Networks 153 (2022)
Alireza Ganjdanesh, Shangqian Gao, Heng Huang
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. ECCV (21) (2022)
Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang
Disentangled Differentiable Network Pruning. ECCV (11) (2022)
Yanfu Zhang, Shangqian Gao, Heng Huang
Recover Fair Deep Classification Models via Altering Pre-trained Structure. ECCV (13) (2022)
Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang
Enhanced Bilevel Optimization via Bregman Distance. NeurIPS (2022)
Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang
Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. KDD (2022)
Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, Cheng Deng, Heng Huang
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity. J. Mach. Learn. Res. 22 (2021)
Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang
Network Pruning via Performance Maximization. CVPR (2021)
Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang
Adversarial Attack on Deep Cross-Modal Hamming Retrieval. ICCV (2021)
Feihu Huang, Shangqian Gao, Heng Huang
Bregman Gradient Policy Optimization. CoRR (2021)
Yanfu Zhang, Shangqian Gao, Heng Huang
Exploration and Estimation for Model Compression. ICCV (2021)
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
Momentum-Based Policy Gradient Methods. ICML (2020)
Feihu Huang, Shangqian Gao, Heng Huang
Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold. CoRR (2020)
Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang
Discrete Model Compression With Resource Constraint for Deep Neural Networks. CVPR (2020)
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization. CoRR (2020)
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
Momentum-Based Policy Gradient Methods. CoRR (2020)
Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity. CoRR (2019)
Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. CoRR (2019)
Shangqian Gao, Cheng Deng, Heng Huang
Cross Domain Model Compression by Structurally Weight Sharing. CVPR (2019)
Chao Li, Shangqian Gao, Cheng Deng, De Xie, Wei Liu
Cross-Modal Learning with Adversarial Samples. NeurIPS (2019)
Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. IJCAI (2019)
Yu Kong, Shangqian Gao, Bin Sun, Yun Fu
Action Prediction From Videos via Memorizing Hard-to-Predict Samples. AAAI (2018)
Yanhua Yang, Cheng Deng, Shangqian Gao, Wei Liu, Dapeng Tao, Xinbo Gao
Discriminative Multi-instance Multitask Learning for 3D Action Recognition. IEEE Trans. Multim. 19 (3) (2017)
Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang
Video Recovery via Learning Variation and Consistency of Images. AAAI (2017)