Yemin Shi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
8
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation. | Jingkun An, Yinghao Zhu, Zongjian Li, Enshen Zhou, Haoran Feng, Xijie Huang, Bohua Chen, Yemin Shi, Chengwei Pan |
| 2025 | WWW | WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs. | Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Bohua Chen, Yi Su, Dongping Chen, Siyuan Wu, Xing Zhou, Wenbin Jiang, Hai Jin, Xiangliang Zhang |
| 2024 | ICLR | MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. | Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu |
| 2024 | IJCAI | AutoAgents: A Framework for Automatic Agent Generation. | Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Brje Karlsson, Jie Fu, Yemin Shi |
| 2021 | CVPR | Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. | Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu |
| 2021 | ICIP | CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. | Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu |
| 2020 | AAAI | Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. | Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian |
| 2020 | ECCV | Learning Open Set Network with Discriminative Reciprocal Points. | Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian |
| 2019 | ICCV | Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. | Limeng Qiao, Yemin Shi, Jia Li, Yonghong Tian, Tiejun Huang, Yaowei Wang |
| 2017 | ICCV | Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network. | Yemin Shi, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang |