Zixuan Liu - RankMe

30 papers A* 4A 1Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Offline Model-Based Optimization: Comprehensive Review. Trans. Mach. Learn. Res. Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen
2025	J	`jnl`	BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction. CoRR Yuguang Li, Ivaylo Boyadzhiev, Zixuan Liu, Linda G. Shapiro, Alex Colburn
2025	A*	`conf`	BADGR: Bundle Adjustment Diffusion Conditioned by Gradients for Wide-Baseline Floor Plan Reconstruction. CVPR Yuguang Li, Ivaylo Boyadzhiev, Zixuan Liu, Linda G. Shapiro, Alex Colburn
2025	J	`jnl`	GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains. CoRR Zixuan Liu, Aaron Honjaya, Yuekai Xu, Yi Zhang, Hefu Pan, Xin Wang, Linda G. Shapiro, Sheng Wang, Ruikang K. Wang
2025	—	`conf`	GrInAdapt: Source-Free Multi-target Domain Adaptation for Retinal Vessel Segmentation. MICCAI (5) Zixuan Liu, Aaron Honjaya, Yuekai Xu, Yi Zhang, Hefu Pan, Xin Wang, Linda G. Shapiro, Sheng Wang, Ruikang K. Wang
2025	J	`jnl`	Offline Model-Based Optimization: Comprehensive Review. CoRR Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen
2024	J	`jnl`	Enhancing Hi-C contact matrices for loop detection with Capricorn: a multiview diffusion model. Bioinform. Tangqi Fang, Yifeng Liu, Addie Woicik, Minsi Lu, Anupama Jha, Xiao Wang, Gang Li, Borislav H. Hristov, Zixuan Liu, Hanwen Xu, William S. Noble, Sheng Wang
2024	A*	`conf`	MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. ICLR Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang
2024	J	`jnl`	OCTCube: A 3D foundation model for optical coherence tomography that improves cross-dataset, cross-disease, cross-device and cross-modality analysis. CoRR Zixuan Liu, Hanwen Xu, Addie Woicik, Linda G. Shapiro, Marian Blazes, Yue Wu, Cecilia S. Lee, Aaron Y. Lee, Sheng Wang
2024	J	`jnl`	Poisoning medical knowledge using large language models. Nat. Mac. Intell. Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang
2024	J	`jnl`	Robust Guided Diffusion for Offline Black-Box Optimization. CoRR Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Christopher Pal
2024	J	`jnl`	Robust Guided Diffusion for Offline Black-Box Optimization. Trans. Mach. Learn. Res. Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal
2024	J	`jnl`	T-Rex: Text-assisted Retrosynthesis Prediction. CoRR Yifeng Liu, Hanwen Xu, Tangqi Fang, Haocheng Xi, Zixuan Liu, Sheng Zhang, Hoifung Poon, Sheng Wang
2023	J	`jnl`	ChiMera: Learning with noisy labels by contrasting mixed-up augmentations. CoRR Zixuan Liu, Xin Zhang, Junjun He, Dan Fu, Dimitris Samaras, Robby Tan, Xiao Wang, Sheng Wang
2023	A	`conf`	ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CIKM Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
2023	J	`jnl`	ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CoRR Zixuan Liu, Gaurush Hiranandani, Kun Qian, Eddie W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
2023	A*	`conf`	Importance-aware Co-teaching for Offline Model-based Optimization. NeurIPS Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue (Steve) Liu
2023	J	`jnl`	Importance-aware Co-teaching for Offline Model-based Optimization. CoRR Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue Liu
2023	J	`jnl`	MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. CoRR Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang
2023	A*	`conf`	Parallel-mentoring for Offline Model-based Optimization. NeurIPS Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal
2023	J	`jnl`	Parallel-mentoring for Offline Model-based Optimization. CoRR Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal
2022	—	`conf`	Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. MICCAI (1) Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro
2022	J	`jnl`	Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. CoRR Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro
2022	J	`jnl`	Gradient-based Bi-level Optimization for Deep Learning: A Survey. CoRR Can Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu
2022	—	`conf`	Textomics: A Dataset for Genomics Data Summary Generation. ACL (1) Mu-Chun Wang, Zixuan Liu, Sheng Wang
2021	J	`jnl`	CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. CoRR Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han
2021	—	`conf`	Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. IPMI Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao
2021	J	`jnl`	Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. CoRR Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao
2021	J	`jnl`	Longitudinal self-supervised learning. Medical Image Anal. Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl
2020	J	`jnl`	LSSL: Longitudinal Self-Supervised Learning. CoRR Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl