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ORCIDZixuan Liu 0001
Person information
- affiliation: University of Washington, Seattle, WA, USA
- affiliation (former): Stanford University, Department of Electrical Engineering, CA, USA
Other persons with the same name
- Zixuan Liu — disambiguation page
- Zixuan Liu 0002
![[0000-0003-0667-9053]](/web/20180317132104*/https://developer.android.com/reference/java/sql/package-https-dblp.org/img/orcid-mark.12x12.png "0000-0003-0667-9053")
— National University of Singapore, Singapore (and 1 more)
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2020 – today
- 2026
[j5]Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen:
Offline Model-Based Optimization: Comprehensive Review. Trans. Mach. Learn. Res. 2026 (2026)- 2025
- [c9]Yuguang Li, Ivaylo Boyadzhiev, Zixuan Liu, Linda G. Shapiro, Alex Colburn:
BADGR: Bundle Adjustment Diffusion Conditioned by Gradients for Wide-Baseline Floor Plan Reconstruction. CVPR 2025: 16785-16795 - [c8]Zixuan Liu, Aaron Honjaya, Yuekai Xu, Yi Zhang, Hefu Pan, Xin Wang, Linda G. Shapiro, Sheng Wang, Ruikang K. Wang:
GrInAdapt: Source-Free Multi-target Domain Adaptation for Retinal Vessel Segmentation. MICCAI (5) 2025: 219-229 - [i16]Zixuan Liu, Aaron Honjaya, Yuekai Xu, Yi Zhang, Hefu Pan, Xin Wang, Linda G. Shapiro, Sheng Wang, Ruikang K. Wang:
GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains. CoRR abs/2503.05991 (2025) - [i15]Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen:
Offline Model-Based Optimization: Comprehensive Review. CoRR abs/2503.17286 (2025) - [i14]Yuguang Li, Ivaylo Boyadzhiev, Zixuan Liu, Linda G. Shapiro, Alex Colburn:
BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction. CoRR abs/2503.19340 (2025) - 2024
- [j4]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:
Enhancing Hi-C contact matrices for loop detection with Capricorn: a multiview diffusion model. Bioinform. 40(Supplement_1): i471-i480 (2024) - [j3]Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang:
Poisoning medical knowledge using large language models. Nat. Mac. Intell. 6(10): 1156-1168 (2024) - [j2]Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal:
Robust Guided Diffusion for Offline Black-Box Optimization. Trans. Mach. Learn. Res. 2024 (2024) - [c7]Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang:
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. ICLR 2024 - [i13]Yifeng Liu, Hanwen Xu, Tangqi Fang, Haocheng Xi, Zixuan Liu, Sheng Zhang, Hoifung Poon, Sheng Wang:
T-Rex: Text-assisted Retrosynthesis Prediction. CoRR abs/2401.14637 (2024) - [i12]Zixuan Liu, Hanwen Xu, Addie Woicik, Linda G. Shapiro, Marian Blazes, Yue Wu, Cecilia S. Lee, Aaron Y. Lee, Sheng Wang:
OCTCube: A 3D foundation model for optical coherence tomography that improves cross-dataset, cross-disease, cross-device and cross-modality analysis. CoRR abs/2408.11227 (2024) - [i11]Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Christopher Pal:
Robust Guided Diffusion for Offline Black-Box Optimization. CoRR abs/2410.00983 (2024) - 2023
- [c6]Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang:
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CIKM 2023: 1523-1533 - [c5]Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal:
Parallel-mentoring for Offline Model-based Optimization. NeurIPS 2023 - [c4]Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue (Steve) Liu:
Importance-aware Co-teaching for Offline Model-based Optimization. NeurIPS 2023 - [i10]Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang:
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. CoRR abs/2309.07915 (2023) - [i9]Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal:
Parallel-mentoring for Offline Model-based Optimization. CoRR abs/2309.11592 (2023) - [i8]Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue Liu:
Importance-aware Co-teaching for Offline Model-based Optimization. CoRR abs/2309.11600 (2023) - [i7]Zixuan Liu, Gaurush Hiranandani, Kun Qian, Eddie W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang:
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CoRR abs/2310.04865 (2023) - [i6]Zixuan Liu, Xin Zhang, Junjun He, Dan Fu, Dimitris Samaras, Robby Tan, Xiao Wang, Sheng Wang:
ChiMera: Learning with noisy labels by contrasting mixed-up augmentations. CoRR abs/2310.05183 (2023) - 2022
- [c3]Mu-Chun Wang, Zixuan Liu, Sheng Wang:
Textomics: A Dataset for Genomics Data Summary Generation. ACL (1) 2022: 4878-4891 - [c2]Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro:
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. MICCAI (1) 2022: 461-470 - [i5]Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro:
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. CoRR abs/2207.04574 (2022) - [i4]Can Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu:
Gradient-based Bi-level Optimization for Deep Learning: A Survey. CoRR abs/2207.11719 (2022) - 2021
- [j1]Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl:
Longitudinal self-supervised learning. Medical Image Anal. 71: 102051 (2021) - [c1]Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. IPMI 2021: 71-82 - [i3]Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. CoRR abs/2102.08239 (2021) - [i2]Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han:
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. CoRR abs/2111.11652 (2021) - 2020
- [i1]Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl:
LSSL: Longitudinal Self-Supervised Learning. CoRR abs/2006.06930 (2020)
Coauthor Index
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