Zhe Li - RankMe

18 papers A* 2Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios. AAAI Zhuohao Yu, Zhe Li, Tao Ren, Chenxue Wang, Junjie Wang, Qing Wang
2025	J	`jnl`	Dataset Distillation with Probabilistic Latent Features. CoRR Zhe Li, Sarah Cechnicka, Cheng Ouyang, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2025	—	`conf`	Graph Conditioned Diffusion for Controllable Histopathology Image Generation. GRAIL/RIME@MICCAI Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
2025	J	`jnl`	Graph Conditioned Diffusion for Controllable Histopathology Image Generation. CoRR Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
2025	J	`jnl`	InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography. CoRR Zhe Li, Hadrien Reynaud, Alberto Gómez, Bernhard Kainz
2025	J	`jnl`	Label-free Motion-Conditioned Diffusion Model for Cardiac Ultrasound Synthesis. CoRR Zhe Li, Hadrien Reynaud, Johanna P. Müller, Bernhard Kainz
2025	—	`conf`	Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis. MICCAI (8) Franciskus Xaverius Erick, Johanna Paula Müller, Zhe Li, Bernhard Kainz
2025	J	`jnl`	Leveraging Multi-Modal Information to Enhance Dataset Distillation. CoRR Zhe Li, Hadrien Reynaud, Bernhard Kainz
2025	J	`jnl`	Stochastic latent feature distillation: Enhancing dataset distillation via structured uncertainty modeling. J. Vis. Commun. Image Represent. Zhe Li, Sarah Cechnicka, Cheng Ouyang, Katharina Breininger, Peter Schüffler, Bernhard Kainz
2025	J	`jnl`	Video Dataset Condensation with Diffusion Models. CoRR Zhe Li, Hadrien Reynaud, Mischa Dombrowski, Sarah Cechnicka, Franciskus Xaverius Erick, Bernhard Kainz
2024	—	`conf`	Data-Efficient Generation for Dataset Distillation. ECCV Workshops (19) Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz
2024	J	`jnl`	Data-Efficient Generation for Dataset Distillation. CoRR Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz
2024	—	`conf`	Image Distillation for Safe Data Sharing in Histopathology. MICCAI (10) Zhe Li, Bernhard Kainz
2024	J	`jnl`	Image Distillation for Safe Data Sharing in Histopathology. CoRR Zhe Li, Bernhard Kainz
2023	—	`conf`	Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. DEMI@MICCAI Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2023	J	`jnl`	Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. CoRR Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2021	A*	`conf`	Temporal Action Segmentation From Timestamp Supervision. CVPR Zhe Li, Yazan Abu Farha, Jürgen Gall
2021	J	`jnl`	Temporal Action Segmentation from Timestamp Supervision. CoRR Zhe Li, Yazan Abu Farha, Juergen Gall