Yemin Shi - RankMe

45 papers A* 8A 5B 1Journal 22Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation. AAAI Jingkun An, Yinghao Zhu, Zongjian Li, Enshen Zhou, Haoran Feng, Xijie Huang, Bohua Chen, Yemin Shi, Chengwei Pan
2025	J	`jnl`	Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play. CoRR Yemin Shi, Yu Shu, Siwei Dong, Guangyi Liu, Jaward Sesay, Jingwen Li, Zhiting Hu
2025	A*	`conf`	WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs. WWW 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	J	`jnl`	AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation. CoRR Jingkun An, Yinghao Zhu, Zongjian Li, Haoran Feng, Bohua Chen, Yemin Shi, Chengwei Pan
2024	A*	`conf`	AutoAgents: A Framework for Automatic Agent Generation. IJCAI Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje Karlsson, Jie Fu, Yemin Shi
2024	A*	`conf`	MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. ICLR 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	J	`jnl`	VISION2UI: A Real-World Dataset with Layout for Code Generation from UI Designs. CoRR Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Yi Su, Shaoling Dong, Xing Zhou, Wenbin Jiang
2023	J	`jnl`	AutoAgents: A Framework for Automatic Agent Generation. CoRR Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje F. Karlsson, Jie Fu, Yemin Shi
2023	J	`jnl`	Chinese Open Instruction Generalist: A Preliminary Release. CoRR Ge Zhang, Yemin Shi, Ruibo Liu, Ruibin Yuan, Yizhi Li, Siwei Dong, Yu Shu, Zhaoqun Li, Zekun Wang, Chenghua Lin, Wenhao Huang, Jie Fu
2023	J	`jnl`	LLaSM: Large Language and Speech Model. CoRR Yu Shu, Siwei Dong, Guangyao Chen, Wenhao Huang, Ruihua Zhang, Daochen Shi, Qiqi Xiang, Yemin Shi
2023	J	`jnl`	MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. CoRR 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
2023	—	`conf`	MemoMusic 3.0: Considering Context at Music Recommendation and Combining Music Theory at Music Generation. ICME Workshops 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
2022	J	`jnl`	Kernel Quantization for Efficient Network Compression. IEEE Access Zhongzhi Yu, Yemin Shi
2021	B	`conf`	CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. ICIP Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu
2021	A*	`conf`	Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. CVPR Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu
2021	J	`jnl`	Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. CoRR Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu
2021	J	`jnl`	Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System. CoRR Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu
2021	J	`jnl`	Identification of pediatric respiratory diseases using a fine-grained diagnosis system. J. Biomed. Informatics Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu
2020	J	`jnl`	Adaptation-Oriented Feature Projection for One-Shot Action Recognition. IEEE Trans. Multim. Yixiong Zou, Yemin Shi, Daochen Shi, Yaowei Wang, Yongsheng Liang, Yonghong Tian
2020	—	`conf`	Anonymous Model Pruning for Compressing Deep Neural Networks. MIPR Lechun Zhang, Guangyao Chen, Yemin Shi, Quan Zhang, Mingkui Tan, Yaowei Wang, Yonghong Tian, Tiejun Huang
2020	J	`jnl`	Kernel Quantization for Efficient Network Compression. CoRR Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu
2020	—	`conf`	Learning Compact Networks via Similarity-Aware Channel Pruning. MIPR Quan Zhang, Yemin Shi, Lechun Zhang, Yaowei Wang, Yonghong Tian
2020	—	`conf`	Learning Open Set Network with Discriminative Reciprocal Points. ECCV (3) Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian
2020	J	`jnl`	Learning Open Set Network with Discriminative Reciprocal Points. CoRR Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian
2020	A*	`conf`	Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. AAAI Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian
2019	—	`conf`	Bi-directional Re-ranking for Person Re-identification. MIPR Yiqian Chang, Yemin Shi, Yaowei Wang, Yonghong Tian
2019	J	`jnl`	Can Categories and Attributes Be Learned in a Multi-Task Way? IEEE Trans. Multim. Shu Yang, Yaowei Wang, Yemin Shi, Zesong Fei
2019	J	`jnl`	ODN: Opening the Deep Network for Open-set Action Recognition. CoRR Yu Shu, Yemin Shi, Yaowei Wang, Yixiong Zou, Qingsheng Yuan, Yonghong Tian
2019	J	`jnl`	P-ODN: Prototype based Open Deep Network for Open Set Recognition. CoRR Yu Shu, Yemin Shi, Yaowei Wang, Tiejun Huang, Yonghong Tian
2019	A*	`conf`	Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. ICCV Limeng Qiao, Yemin Shi, Jia Li, Yonghong Tian, Tiejun Huang, Yaowei Wang
2019	J	`jnl`	Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. CoRR Limeng Qiao, Yemin Shi, Jia Li, Yaowei Wang, Tiejun Huang, Yonghong Tian
2018	—	`conf`	Attribute Driven Zero-Shot Classification and Segmentation. ICME Workshops Shu Yang, Yemin Shi, Yaowei Wang, Jing Wang, Zesong Fei
2018	—	`conf`	Deep Transfer Learning for Person Re-Identification. BigMM Haoran Chen, Yaowei Wang, Yemin Shi, Ke Yan, Mengyue Geng, Yonghong Tian, Tao Xiang
2018	—	`conf`	Fast Compressed Domain Copy Detection with Motion Vector Imaging. MIPR Yuanyuan Yang, Yixiong Zou, Yemin Shi, Qingsheng Yuan, Yaowei Wang, Yonghong Tian
2018	A	`conf`	Hierarchical Temporal Memory Enhanced One-Shot Distance Learning for Action Recognition. ICME Yixiong Zou, Yemin Shi, Yaowei Wang, Yu Shu, Qingsheng Yuan, Yonghong Tian
2018	—	`conf`	Multi-Pose Learning based Head-Shoulder Re-identification. MIPR Jia Li, Yunpeng Zhai, Yaowei Wang, Yemin Shi, Yonghong Tian
2018	A	`conf`	ODN: Opening the Deep Network for Open-Set Action Recognition. ICME Yemin Shi, Yaowei Wang, Yixiong Zou, Qingsheng Yuan, Yonghong Tian, Yu Shu
2018	A	`conf`	SFCM: Learn a Pooling Kernel for Weakly Supervised Object Localization. ICME Zongxian Li, Yemin Shi, Yonghong Tian, Wei Zeng, Yaowei Wang
2018	A	`conf`	Temporal Attentive Network for Action Recognition. ICME Yemin Shi, Yonghong Tian, Tiejun Huang, Yaowei Wang
2017	A*	`conf`	Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network. ICCV Yemin Shi, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang
2017	J	`jnl`	Sequential Deep Trajectory Descriptor for Action Recognition With Three-Stream CNN. IEEE Trans. Multim. Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang
2016	J	`jnl`	Joint Network based Attention for Action Recognition. CoRR Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang
2016	J	`jnl`	Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN. CoRR Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang
2016	J	`jnl`	shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing. CoRR Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang
2015	A	`conf`	Learning Deep Trajectory Descriptor for action recognition in videos using deep neural networks. ICME Yemin Shi, Wei Zeng, Tiejun Huang, Yaowei Wang