| 2026 | AAAI | Query-Efficient Domain Knowledge Stealing Against Large Language Models. | Zhengao Li, Xiaopeng Yuan, Bolin Shen, Kien Le, Haohan Wang, Xugui Zhou, Shangqian Gao, Yushun Dong |
| 2026 | ACL | HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks. | Yiming Zeng, Jinghan Cao, Zexin Li, Wanhao Yu, Zhankai Ye, Dawei Xiang, Ting Hua, Xin Liu, Shangqian Gao, Tingting Yu |
| 2025 | CVPR | Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models. | Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang |
| 2025 | EMNLP | Controllable Memorization in LLMs via Weight Pruning. | Chenjie Ni, Zhepeng Wang, Runxue Bao, Shangqian Gao, Yanfu Zhang |
| 2025 | ICLR | Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. | Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang |
| 2025 | ICLR | 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 |
| 2025 | NAACL | 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 |
| 2024 | AAAI | Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. | Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang |
| 2024 | CVPR | Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment. | Alireza Ganjdanesh, Shangqian Gao, Heng Huang |
| 2024 | CVPR | Device-Wise Federated Network Pruning. | Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang |
| 2024 | CVPR | BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks. | Shangqian Gao, Yanfu Zhang, Feihu Huang, Heng Huang |
| 2024 | CVPR | 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 |
| 2024 | EMNLP | 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 |
| 2024 | NAACL | Adaptive Rank Selections for Low-Rank Approximation of Language Models. | Shangqian Gao, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin |
| 2024 | WACV | Token Fusion: Bridging the Gap between Token Pruning and Token Merging. | Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin |
| 2023 | AAAI | EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs. | Alireza Ganjdanesh, Shangqian Gao, Heng Huang |
| 2023 | EMNLP | Dynamic Low-rank Estimation for Transformer-based Language Models. | Ting Hua, Xiao Li, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin |
| 2023 | ICCV | Structural Alignment for Network Pruning through Partial Regularization. | Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang |
| 2023 | ICLR | Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models. | Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin |
| 2022 | ECCV | Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. | Alireza Ganjdanesh, Shangqian Gao, Heng Huang |
| 2022 | ECCV | Disentangled Differentiable Network Pruning. | Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang |
| 2022 | ECCV | Recover Fair Deep Classification Models via Altering Pre-trained Structure. | Yanfu Zhang, Shangqian Gao, Heng Huang |
| 2022 | ICLR | Bregman Gradient Policy Optimization. | Feihu Huang, Shangqian Gao, Heng Huang |
| 2022 | KDD | Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. | Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang |
| 2021 | CVPR | Network Pruning via Performance Maximization. | Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang |
| 2021 | ICCV | Adversarial Attack on Deep Cross-Modal Hamming Retrieval. | Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang |
| 2021 | ICCV | Exploration and Estimation for Model Compression. | Yanfu Zhang, Shangqian Gao, Heng Huang |
| 2020 | CVPR | Discrete Model Compression With Resource Constraint for Deep Neural Networks. | Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang |
| 2020 | ICML | Momentum-Based Policy Gradient Methods. | Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang |
| 2019 | CVPR | Cross Domain Model Compression by Structurally Weight Sharing. | Shangqian Gao, Cheng Deng, Heng Huang |
| 2019 | IJCAI | Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. | Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang |
| 2018 | AAAI | Action Prediction From Videos via Memorizing Hard-to-Predict Samples. | Yu Kong, Shangqian Gao, Bin Sun, Yun Fu |
| 2017 | AAAI | Video Recovery via Learning Variation and Consistency of Images. | Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang |