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ORCIDYemin Shi 0001
Person information
- affiliation: Beijing Academy of Artificial Intelligence, China
- affiliation (PhD 2019): Peking University, School of Electronics Engineering and Computer Science, National Engineering Laboratory for Video Technology, Beijing, China
Other persons with the same name
- Yemin Shi 0002 — University of Southern California, Molecular and Computational Biology, Los Angeles, CA, USA
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2020 – today
- 2024
[i16]Jingkun An, Yinghao Zhu, Zongjian Li, Haoran Feng, Bohua Chen, Yemin Shi, Chengwei Pan:
AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation. CoRR abs/2403.13352 (2024)- [i15]Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Yi Su, Shaoling Dong, Xing Zhou, Wenbin Jiang:
VISION2UI: A Real-World Dataset with Layout for Code Generation from UI Designs. CoRR abs/2404.06369 (2024) - 2023
- [c19]Luntian Mou, Yihan Sun, Yunhan Tian, Yiqi Sun, Yuhang Liu, Zexi Zhang, Ruichen He, Juehui Li, Jueying Li, Zijin Li, Feng Gao, Yemin Shi, Ramesh C. Jain:
MemoMusic 3.0: Considering Context at Music Recommendation and Combining Music Theory at Music Generation. ICME Workshops 2023: 296-301 - [i14]Ge Zhang, Yemin Shi, Ruibo Liu, Ruibin Yuan, Yizhi Li, Siwei Dong, Yu Shu, Zhaoqun Li, Zekun Wang, Chenghua Lin, Wenhao Huang, Jie Fu:
Chinese Open Instruction Generalist: A Preliminary Release. CoRR abs/2304.07987 (2023) - [i13]Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Yike Guo, Jie Fu:
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. CoRR abs/2306.00107 (2023) - [i12]Yu Shu, Siwei Dong, Guangyao Chen, Wenhao Huang, Ruihua Zhang, Daochen Shi, Qiqi Xiang, Yemin Shi:
LLaSM: Large Language and Speech Model. CoRR abs/2308.15930 (2023) - [i11]Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje F. Karlsson
, Jie Fu, Yemin Shi:
AutoAgents: A Framework for Automatic Agent Generation. CoRR abs/2309.17288 (2023) - 2022
- [j5]Zhongzhi Yu, Yemin Shi:
Kernel Quantization for Efficient Network Compression. IEEE Access 10: 4063-4071 (2022) - 2021
- [j4]Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu:
Identification of pediatric respiratory diseases using a fine-grained diagnosis system. J. Biomed. Informatics 117: 103754 (2021) - [c18]Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu:
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. CVPR 2021: 2505-2514 - [c17]Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu:
CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. ICIP 2021: 91-95 - [i10]Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu:
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. CoRR abs/2104.09415 (2021) - [i9]Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu:
Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System. CoRR abs/2108.10818 (2021) - 2020
- [j3]Yixiong Zou, Yemin Shi, Daochen Shi, Yaowei Wang, Yongsheng Liang, Yonghong Tian:
Adaptation-Oriented Feature Projection for One-Shot Action Recognition. IEEE Trans. Multim. 22(12): 3166-3179 (2020) - [c16]Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian:
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. AAAI 2020: 6591-6598 - [c15]Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. ECCV (3) 2020: 507-522 - [c14]Quan Zhang, Yemin Shi, Lechun Zhang, Yaowei Wang, Yonghong Tian:
Learning Compact Networks via Similarity-Aware Channel Pruning. MIPR 2020: 145-148 - [c13]Lechun Zhang, Guangyao Chen, Yemin Shi, Quan Zhang, Mingkui Tan, Yaowei Wang, Yonghong Tian, Tiejun Huang:
Anonymous Model Pruning for Compressing Deep Neural Networks. MIPR 2020: 157-160 - [i8]Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu:
Kernel Quantization for Efficient Network Compression. CoRR abs/2003.05148 (2020) - [i7]Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. CoRR abs/2011.00178 (2020)
2010 – 2019
- 2019
- [j2]Shu Yang, Yaowei Wang, Yemin Shi, Zesong Fei:
Can Categories and Attributes Be Learned in a Multi-Task Way? IEEE Trans. Multim. 21(12): 3194-3204 (2019) - [c12]Limeng Qiao, Yemin Shi, Jia Li, Yonghong Tian, Tiejun Huang, Yaowei Wang:
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. ICCV 2019: 3602-3611 - [c11]Yiqian Chang, Yemin Shi, Yaowei Wang, Yonghong Tian:
Bi-directional Re-ranking for Person Re-identification. MIPR 2019: 48-53 - [i6]Yu Shu, Yemin Shi, Yaowei Wang, Yixiong Zou, Qingsheng Yuan, Yonghong Tian:
ODN: Opening the Deep Network for Open-set Action Recognition. CoRR abs/1901.07757 (2019) - [i5]Yu Shu, Yemin Shi, Yaowei Wang, Tiejun Huang, Yonghong Tian:
P-ODN: Prototype based Open Deep Network for Open Set Recognition. CoRR abs/1905.01851 (2019) - [i4]Limeng Qiao, Yemin Shi, Jia Li, Yaowei Wang, Tiejun Huang, Yonghong Tian:
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. CoRR abs/1910.02224 (2019) - 2018
- [c10]Haoran Chen, Yaowei Wang, Yemin Shi, Ke Yan, Mengyue Geng, Yonghong Tian, Tao Xiang:
Deep Transfer Learning for Person Re-Identification. BigMM 2018: 1-5 - [c9]Yemin Shi, Yonghong Tian, Tiejun Huang, Yaowei Wang:
Temporal Attentive Network for Action Recognition. ICME 2018: 1-6 - [c8]Yemin Shi, Yaowei Wang, Yixiong Zou, Qingsheng Yuan, Yonghong Tian, Yu Shu:
ODN: Opening the Deep Network for Open-Set Action Recognition. ICME 2018: 1-6 - [c7]Zongxian Li, Yemin Shi, Yonghong Tian, Wei Zeng, Yaowei Wang:
SFCM: Learn a Pooling Kernel for Weakly Supervised Object Localization. ICME 2018: 1-6 - [c6]Shu Yang, Yemin Shi, Yaowei Wang, Jing Wang, Zesong Fei:
Attribute Driven Zero-Shot Classification and Segmentation. ICME Workshops 2018: 1-6 - [c5]Yixiong Zou, Yemin Shi, Yaowei Wang, Yu Shu, Qingsheng Yuan, Yonghong Tian:
Hierarchical Temporal Memory Enhanced One-Shot Distance Learning for Action Recognition. ICME 2018: 1-6 - [c4]Jia Li, Yunpeng Zhai, Yaowei Wang, Yemin Shi, Yonghong Tian:
Multi-Pose Learning based Head-Shoulder Re-identification. MIPR 2018: 238-243 - [c3]Yuanyuan Yang, Yixiong Zou, Yemin Shi, Qingsheng Yuan, Yaowei Wang, Yonghong Tian:
Fast Compressed Domain Copy Detection with Motion Vector Imaging. MIPR 2018: 396-401 - 2017
- [j1]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Sequential Deep Trajectory Descriptor for Action Recognition With Three-Stream CNN. IEEE Trans. Multim. 19(7): 1510-1520 (2017) - [c2]Yemin Shi, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang:
Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network. ICCV 2017: 716-725 - 2016
- [i3]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN. CoRR abs/1609.03056 (2016) - [i2]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Joint Network based Attention for Action Recognition. CoRR abs/1611.05215 (2016) - [i1]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing. CoRR abs/1611.05216 (2016) - 2015
- [c1]Yemin Shi, Wei Zeng, Tiejun Huang, Yaowei Wang:
Learning Deep Trajectory Descriptor for action recognition in videos using deep neural networks. ICME 2015: 1-6
Coauthor Index
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