Yunshi Huang - RankMe

16 papers A* 3Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	TIM++: Transductive Information Maximization for Few-Shot CLIP. AAAI Yingping Li, Yutong Zou, Yunshi Huang, Changzhe Jiao, Xinlin Wang, Shen Peng, Zhang Guo, Shuiping Gou
2024	—	`conf`	Boosting Vision-Language Models for Histopathology Classification: Predict All at Once. MedAGI@MICCAI Maxime Zanella, Fereshteh Shakeri, Yunshi Huang, Houda Bahig, Ismail Ben Ayed
2024	J	`jnl`	Boosting Vision-Language Models for Histopathology Classification: Predict all at once. CoRR Maxime Zanella, Fereshteh Shakeri, Yunshi Huang, Houda Bahig, Ismail Ben Ayed
2024	—	`conf`	Few-Shot Adaptation of Medical Vision-Language Models. MICCAI (12) Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed
2024	J	`jnl`	Few-shot Adaptation of Medical Vision-Language Models. CoRR Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed
2024	A*	`conf`	LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CVPR Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed
2024	J	`jnl`	LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CoRR Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed
2024	A*	`conf`	Transductive Zero-Shot and Few-Shot CLIP. CVPR Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed
2024	J	`jnl`	Transductive Zero-Shot and Few-Shot CLIP. CoRR Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed
2023	J	`jnl`	Efficient bayes inference in neural networks through adaptive importance sampling. J. Frankl. Inst. Yunshi Huang, Emilie Chouzenoux, Víctor Elvira, Jean-Christophe Pesquet
2023	J	`jnl`	Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. IEEE Trans. Image Process. Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet
2022	—	`—`	Bayesian inference for image deblurring at a large scale. (Inférence bayésienne pour la restauration d'images en grande dimension). Yunshi Huang
2022	J	`jnl`	Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling. CoRR Yunshi Huang, Emilie Chouzenoux, Victor Elvira, Jean-Christophe Pesquet
2021	J	`jnl`	Probabilistic Modeling and Inference for Sequential Space-Varying Blur Identification. IEEE Trans. Computational Imaging Yunshi Huang, Emilie Chouzenoux, Víctor Elvira
2021	J	`jnl`	Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. CoRR Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet
2019	—	`conf`	Particle Filtering for Online Space-Varying Blur Identification. CAMSAP Yunshi Huang, Emilie Chouzenoux, Víctor Elvira