Shangqian Gao

According to our database, Shangqian Gao authored at least 48 papers between 2017 and 2025.

Collaborative distances:

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

2025

TreeDiff: AST-Guided Code Generation with Diffusion LLMs.

Yiming Zeng, Jinghan Cao, Zexin Li, Yiming Chen, Tao Ren, Dawei Xiang, Xidong Wu, Shangqian Gao, Tingting Yu

CoRR, August, 2025

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation.

Xiaomeng Yang, Lei Lu, Qihui Fan, Changdi Yang, Juyi Lin, Yanzhi Wang, Xuan Zhang, Shangqian Gao

CoRR, May, 2025

Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector.

Haoyan Yang, Runxue Bao, Cao Xiao, Jun Ma, Parminder Bhatia, Shangqian Gao, Taha A. Kass-Hout

CoRR, May, 2025

Dynamic Noise Preference Optimization for LLM Self-Improvement via Synthetic Data.

Haoyan Yang, Ting Hua, Shangqian Gao, Binfeng Xu, Zheng Tang, Jie Xu, Hongxia Jin, Vijay Srinivasan

CoRR, February, 2025

ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning.

Shangqian Gao, Ting Hua, Reza Shirkavand, Chi-Heng Lin, Zhen Tang, Zhengao Li, Longge Yuan, Fangyi Li, Zeyu Zhang, Alireza Ganjdanesh, Qian Lou, Xu Jie, Yen-Chang Hsu

CoRR, January, 2025

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing.

James Seale Smith, Chi-Heng Lin, Shikhar Tuli, Haris Jeelani, Shangqian Gao, Yilin Shen, Hongxia Jin, Yen-Chang Hsu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MoDeGPT: Modular Decomposition for Large Language Model Compression.

Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models.

Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models.

Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

All-in-One Tuning and Structural Pruning for Domain-Specific LLMs.

Lei Lu, Zhepeng Wang, Runxue Bao, Mengbing Wang, Fangyi Li, Yawen Wu, Weiwen Jiang, Jie Xu, Yanzhi Wang, Shangqian Gao

CoRR, 2024

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models.

Shangqian Gao, Chi-Heng Lin, Ting Hua, Tang Zheng, Yilin Shen, Hongxia Jin, Yen-Chang Hsu

CoRR, 2024

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

Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models.

Shangqian Gao, Chi-Heng Lin, Ting Hua, Zheng Tang, Yilin Shen, Hongxia Jin, Yen-Chang Hsu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Adaptive Rank Selections for Low-Rank Approximation of Language Models.

Shangqian Gao, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting.

Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Shangqian Gao, Yanfu Zhang, Feihu Huang, Heng Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Device-Wise Federated Network Pruning.

Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment.

Alireza Ganjdanesh, Shangqian Gao, Heng Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds.

Feihu Huang, Shangqian Gao

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

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

Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Structural Alignment for Network Pruning through Partial Regularization.

Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Low-rank Estimation for Transformer-based Language Models.

Ting Hua, Xiao Li, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Alireza Ganjdanesh, Shangqian Gao, Heng Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Riemannian gradient methods for stochastic composition problems.

Feihu Huang, Shangqian Gao

Neural Networks, 2022

Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization.

Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

J. Mach. Learn. Res., 2022

Enhanced Bilevel Optimization via Bregman Distance.

Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang

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

Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks.

Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Bregman Gradient Policy Optimization.

Feihu Huang, Shangqian Gao, Heng Huang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Recover Fair Deep Classification Models via Altering Pre-trained Structure.

Yanfu Zhang, Shangqian Gao, Heng Huang

Proceedings of the Computer Vision - ECCV 2022, 2022

Disentangled Differentiable Network Pruning.

Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang

Proceedings of the Computer Vision - ECCV 2022, 2022

Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps.

Alireza Ganjdanesh, Shangqian Gao, Heng Huang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity.

Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, Cheng Deng, Heng Huang

J. Mach. Learn. Res., 2021

Exploration and Estimation for Model Compression.

Yanfu Zhang, Shangqian Gao, Heng Huang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Attack on Deep Cross-Modal Hamming Retrieval.

Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Network Pruning via Performance Maximization.

Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold.

Feihu Huang, Shangqian Gao, Heng Huang

CoRR, 2020

Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization.

Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

CoRR, 2020

Momentum-Based Policy Gradient Methods.

Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

Proceedings of the 37th International Conference on Machine Learning, 2020

Discrete Model Compression With Resource Constraint for Deep Neural Networks.

Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity.

Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang

CoRR, 2019

Cross-Modal Learning with Adversarial Samples.

Chao Li, Shangqian Gao, Cheng Deng, De Xie, Wei Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization.

Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cross Domain Model Compression by Structurally Weight Sharing.

Shangqian Gao, Cheng Deng, Heng Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Action Prediction From Videos via Memorizing Hard-to-Predict Samples.

Yu Kong, Shangqian Gao, Bin Sun, Yun Fu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Discriminative Multi-instance Multitask Learning for 3D Action Recognition.

Yanhua Yang, Cheng Deng, Shangqian Gao, Wei Liu, Dapeng Tao, Xinbo Gao

IEEE Trans. Multim., 2017

Video Recovery via Learning Variation and Consistency of Images.

Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017