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ORCIDLiujuan Cao
- > Home > Persons > Liujuan Cao
Publications
- 2024
[c63]Jingjing Xie, Yuxin Zhang, Mingbao Lin, Zhihang Lin, Liujuan Cao, Rongrong Ji:
UniPTS: A Unified Framework for Proficient Post-Training Sparsity. CVPR 2024: 5746-5755- [c55]Jingjing Xie
, Yuxin Zhang, Mingbao Lin, Liujuan Cao, Rongrong Ji:
Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation. ACM Multimedia 2024: 10582-10591 - [i50]Mingbao Lin, Zhihang Lin, Wengyi Zhan, Liujuan Cao, Rongrong Ji:
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method. CoRR abs/2404.15141 (2024) - [i45]Jingjing Xie, Yuxin Zhang, Mingbao Lin, Zhihang Lin, Liujuan Cao, Rongrong Ji:
UniPTS: A Unified Framework for Proficient Post-Training Sparsity. CoRR abs/2405.18810 (2024) - [i39]Jingjing Xie, Yuxin Zhang, Mingbao Lin, Liujuan Cao, Rongrong Ji:
Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation. CoRR abs/2408.03735 (2024) - [i35]Quanjian Song, Mingbao Lin, Wengyi Zhan, Shuicheng Yan, Liujuan Cao:
UniVST: A Unified Framework for Training-free Localized Video Style Transfer. CoRR abs/2410.20084 (2024) - 2023
- [j40]Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao:
Super Vision Transformer. Int. J. Comput. Vis. 131(12): 3136-3151 (2023) - [j38]Bohong Chen, Mingbao Lin, Rongrong Ji, Liujuan Cao:
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11108-11119 (2023) - [j36]Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji:
Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9139-9148 (2023) - 2022
- [j31]Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji:
Filter Sketch for Network Pruning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7091-7100 (2022) - [c37]Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao:
Knowledge Condensation Distillation. ECCV (11) 2022: 19-35 - [c36]Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. ECCV (19) 2022: 254-270 - [c34]Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji:
SeqTR: A Simple Yet Universal Network for Visual Grounding. ECCV (35) 2022: 598-615 - [i21]Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji:
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters. CoRR abs/2202.07190 (2022) - [i20]Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. CoRR abs/2203.10812 (2022) - [i19]Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji:
SeqTR: A Simple yet Universal Network for Visual Grounding. CoRR abs/2203.16265 (2022) - [i17]Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao:
Knowledge Condensation Distillation. CoRR abs/2207.05409 (2022) - 2021
- [i9]Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji:
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. CoRR abs/2109.05432 (2021) - 2019
- [i4]Mingbao Lin, Rongrong Ji, Shen Chen, Feng Zheng, Xiaoshuai Sun, Baochang Zhang, Liujuan Cao, Guodong Guo, Feiyue Huang:
Supervised Online Hashing via Similarity Distribution Learning. CoRR abs/1905.13382 (2019) - [i2]Shen Chen, Liujuan Cao, Mingbao Lin, Yan Wang, Xiaoshuai Sun, Chenglin Wu, Jingfei Qiu, Rongrong Ji:
Hadamard Codebook Based Deep Hashing. CoRR abs/1910.09182 (2019)
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