Zixuan Liu

According to our database, Zixuan Liu authored at least 20 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Offline Model-Based Optimization: Comprehensive Review.

Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen

CoRR, March, 2025

GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains.

Zixuan Liu, Aaron Honjaya, Yuekai Xu, Yi Zhang, Hefu Pan, Xin Wang, Linda G. Shapiro, Sheng Wang, Ruikang K. Wang

CoRR, March, 2025

BADGR: Bundle Adjustment Diffusion Conditioned by Gradients for Wide-Baseline Floor Plan Reconstruction.

Yuguang Li, Ivaylo Boyadzhiev, Zixuan Liu, Linda G. Shapiro, Alex Colburn

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Robust Guided Diffusion for Offline Black-Box Optimization.

Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal

Trans. Mach. Learn. Res., 2024

Poisoning medical knowledge using large language models.

Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang

Nat. Mac. Intell., 2024

OCTCube: A 3D foundation model for optical coherence tomography that improves cross-dataset, cross-disease, cross-device and cross-modality analysis.

Zixuan Liu, Hanwen Xu, Addie Woicik, Linda G. Shapiro, Marian Blazes, Yue Wu, Cecilia S. Lee, Aaron Y. Lee, Sheng Wang

CoRR, 2024

T-Rex: Text-assisted Retrosynthesis Prediction.

Yifeng Liu, Hanwen Xu, Tangqi Fang, Haocheng Xi, Zixuan Liu, Sheng Zhang, Hoifung Poon, Sheng Wang

CoRR, 2024

Enhancing Hi-C contact matrices for loop detection with Capricorn: a multiview diffusion model.

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

Bioinform., 2024

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning.

Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ChiMera: Learning with noisy labels by contrasting mixed-up augmentations.

Zixuan Liu, Xin Zhang, Junjun He, Dan Fu, Dimitris Samaras, Robby Tan, Xiao Wang, Sheng Wang

CoRR, 2023

Importance-aware Co-teaching for Offline Model-based Optimization.

Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue (Steve) Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Parallel-mentoring for Offline Model-based Optimization.

Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding.

Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Gradient-based Bi-level Optimization for Deep Learning: A Survey.

Can Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu

CoRR, 2022

Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease.

Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Textomics: A Dataset for Genomics Data Summary Generation.

Mu-Chun Wang, Zixuan Liu, Sheng Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Longitudinal self-supervised learning.

Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl

Medical Image Anal., 2021

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning.

Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han

CoRR, 2021

Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models.

Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao

Proceedings of the Information Processing in Medical Imaging, 2021

2020

LSSL: Longitudinal Self-Supervised Learning.

Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl

CoRR, 2020