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Shangqian Gao
19 papers at tracked venues · 15 at CORE A* · active 2024–2026
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Venues
CVPR
×5
NeurIPS
×5
AAAI
×2
EMNLP
×2
ICLR
×2
NAACL
×2
ACL
×1
Frequent coauthors
Heng Huang
×8
Yanfu Zhang
×5
Runxue Bao
×4
Yilin Shen
×4
Hongxia Jin
×4
Yen-Chang Hsu
×4
Ting Hua
×3
Reza Shirkavand
×3
Chi-Heng Lin
×3
Alireza Ganjdanesh
×3
Cao Xiao
×2
Zhepeng Wang
×2
Papers
HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks
BibTeX ⧉
ACL 2026
·
Yiming Zeng
,
Jinghan Cao
,
Zexin Li
,
Wanhao Yu
,
Zhankai Ye
,
Dawei Xiang
,
Ting Hua
,
Xin Liu
,
Shangqian Gao
,
Tingting Yu
Query-Efficient Domain Knowledge Stealing Against Large Language Models
BibTeX ⧉
AAAI 2026
·
Zhengao Li
,
Xiaopeng Yuan
,
Bolin Shen
,
Kien Le
,
Haohan Wang
,
Xugui Zhou
,
Shangqian Gao
,
Yushun Dong
ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
BibTeX ⧉
NeurIPS 2025
·
Xiaomeng Yang
,
Lei Lu
,
Qihui Fan
,
Changdi Yang
,
Juyi Lin
,
Yanzhi Wang
,
Xuan Zhang
,
Shangqian Gao
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
BibTeX ⧉
NeurIPS 2025
·
Haoyan Yang
,
Runxue Bao
,
Cao (Danica) Xiao
,
Jun Ma
,
Parminder Bhatia
,
Shangqian Gao
,
Taha A. Kass-Hout
Controllable Memorization in LLMs via Weight Pruning
BibTeX ⧉
EMNLP 2025
·
Chenjie Ni
,
Zhepeng Wang
,
Runxue Bao
,
Shangqian Gao
,
Yanfu Zhang
Cost-Aware Contrastive Routing for LLMs
BibTeX ⧉
NeurIPS 2025
·
Reza Shirkavand
,
Shangqian Gao
,
Peiran Yu
,
Heng Huang
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
BibTeX ⧉
NeurIPS 2025
·
Jiaqi Xue
,
Mayank Kumar
,
Yuzhang Shang
,
Shangqian Gao
,
Rui Ning
,
Mengxin Zheng
,
Xiaoqian Jiang
,
Qian Lou
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
BibTeX ⧉
CVPR 2025
·
Reza Shirkavand
,
Peiran Yu
,
Shangqian Gao
,
Gowthami Somepalli
,
Tom Goldstein
,
Heng Huang
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing
BibTeX ⧉
NAACL 2025
·
James Seale Smith
,
Chi-Heng Lin
,
Shikhar Tuli
,
Haris Jeelani
,
Shangqian Gao
,
Yilin Shen
,
Hongxia Jin
,
Yen-Chang Hsu
MoDeGPT: Modular Decomposition for Large Language Model Compression
BibTeX ⧉
ICLR 2025
·
Chi-Heng Lin
,
Shangqian Gao
,
James Seale Smith
,
Abhishek Patel
,
Shikhar Tuli
,
Yilin Shen
,
Hongxia Jin
,
Yen-Chang Hsu
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
BibTeX ⧉
ICLR 2025
·
Alireza Ganjdanesh
,
Reza Shirkavand
,
Shangqian Gao
,
Heng Huang
Adaptive Rank Selections for Low-Rank Approximation of Language Models
BibTeX ⧉
NAACL 2024
·
Shangqian Gao
,
Ting Hua
,
Yen-Chang Hsu
,
Yilin Shen
,
Hongxia Jin
Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
BibTeX ⧉
CVPR 2024
·
Xidong Wu
,
Shangqian Gao
,
Zeyu Zhang
,
Zhenzhen Li
,
Runxue Bao
,
Yanfu Zhang
,
Xiaoqian Wang
,
Heng Huang
BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks
BibTeX ⧉
CVPR 2024
·
Shangqian Gao
,
Yanfu Zhang
,
Feihu Huang
,
Heng Huang
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
BibTeX ⧉
AAAI 2024
·
Alireza Ganjdanesh
,
Shangqian Gao
,
Hirad Alipanah
,
Heng Huang
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
BibTeX ⧉
NeurIPS 2024
·
Shangqian Gao
,
Chi-Heng Lin
,
Ting Hua
,
Zheng Tang
,
Yilin Shen
,
Hongxia Jin
,
Yen-Chang Hsu
Device-Wise Federated Network Pruning
BibTeX ⧉
CVPR 2024
·
Shangqian Gao
,
Junyi Li
,
Zeyu Zhang
,
Yanfu Zhang
,
Weidong Cai
,
Heng Huang
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
BibTeX ⧉
CVPR 2024
·
Alireza Ganjdanesh
,
Shangqian Gao
,
Heng Huang
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
BibTeX ⧉
EMNLP 2024
·
Zhepeng Wang
,
Runxue Bao
,
Yawen Wu
,
Jackson Taylor
,
Cao Xiao
,
Feng Zheng
,
Weiwen Jiang
,
Shangqian Gao
,
Yanfu Zhang