LSSL: Longitudinal Self-Supervised Learning. - Qingyu Zhao; Zixuan Liu 001; Ehsan Adeli 001; Kilian M. Pohl (CoRR, 2020)

Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. - Zixuan Liu 001; Ehsan Adeli 001; Kilian M. Pohl; Qingyu Zhao (IPMI, 2021)

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. - Xin Zhang; Zixuan Liu 001; Kaiwen Xiao; Tian Shen; Junzhou Huang; Wei Yang 032; Dimitris Samaras; Xiao Han 011 (CoRR, 2021)

Longitudinal self-supervised learning. - Qingyu Zhao; Zixuan Liu 001; Ehsan Adeli 001; Kilian M. Pohl (Medical Image Anal., 2021)

Textomics: A Dataset for Genomics Data Summary Generation. - Mu-Chun Wang; Zixuan Liu 001; Sheng Wang 012 (ACL (1), 2022)

Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. - Mehmet Saygin Seyfioglu; Zixuan Liu 001; Pranav Kamath; Sadjyot Gangolli; Sheng Wang 012; Thomas J. Grabowski; Linda G. Shapiro (MICCAI (1), 2022)

Gradient-based Bi-level Optimization for Deep Learning: A Survey. - Can Chen 005; Xi Chen 009; Chen Ma 001; Zixuan Liu 001; Xue Liu 001 (CoRR, 2022)

ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. - Zixuan Liu 001; Gaurush Hiranandani; Kun Qian 018; Edward W. Huang; Yi Xu 011; Belinda Zeng; Karthik Subbian; Sheng Wang 012 (CIKM, 2023)

Parallel-mentoring for Offline Model-based Optimization. - Can Chen 005; Christopher Beckham; Zixuan Liu 001; Xue (Steve) Liu; Chris Pal (NeurIPS, 2023)

Importance-aware Co-teaching for Offline Model-based Optimization. - Ye Yuan 017; Can Chen 005; Zixuan Liu 001; Willie Neiswanger; Xue (Steve) Liu (NeurIPS, 2023)

ChiMera: Learning with noisy labels by contrasting mixed-up augmentations. - Zixuan Liu 001; Xin Zhang; Junjun He; Dan Fu; Dimitris Samaras; Robby Tan; Xiao Wang 013; Sheng Wang 012 (CoRR, 2023)

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. - Haozhe Zhao; Zefan Cai; Shuzheng Si; Xiaojian Ma 001; Kaikai An; Liang Chen 024; Zixuan Liu 001; Sheng Wang 012; Wenjuan Han; Baobao Chang (ICLR, 2024)

Enhancing Hi-C contact matrices for loop detection with Capricorn: a multiview diffusion model. - Tangqi Fang; Yifeng Liu 004; Addie Woicik; Minsi Lu; Anupama Jha; Xiao Wang 013; Gang Li 034; Borislav H. Hristov; Zixuan Liu 001; Hanwen Xu; William S. Noble; Sheng Wang 012 (Bioinform., 2024)

T-Rex: Text-assisted Retrosynthesis Prediction. - Yifeng Liu 004; Hanwen Xu; Tangqi Fang; Haocheng Xi; Zixuan Liu 001; Sheng Zhang 012; Hoifung Poon; Sheng Wang 012 (CoRR, 2024)

OCTCube: A 3D foundation model for optical coherence tomography that improves cross-dataset, cross-disease, cross-device and cross-modality analysis. - Zixuan Liu 001; Hanwen Xu; Addie Woicik; Linda G. Shapiro; Marian Blazes; Yue Wu; Cecilia S. Lee; Aaron Y. Lee; Sheng Wang 012 (CoRR, 2024)

Poisoning medical knowledge using large language models. - Junwei Yang; Hanwen Xu; Srbuhi Mirzoyan; Tong Chen; Zixuan Liu 001; Zequn Liu; Wei Ju 001; Luchen Liu; Zhiping Xiao 001; Ming Zhang 004; Sheng Wang 012 (Nat. Mac. Intell., 2024)

Robust Guided Diffusion for Offline Black-Box Optimization. - Can Chen 005; Christopher Beckham; Zixuan Liu 001; Xue Liu 001; Christopher Pal (Trans. Mach. Learn. Res., 2024)

BADGR: Bundle Adjustment Diffusion Conditioned by Gradients for Wide-Baseline Floor Plan Reconstruction. - Yuguang Li; Ivaylo Boyadzhiev; Zixuan Liu 001; Linda G. Shapiro; Alex Colburn (CVPR, 2025)

GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains. - Zixuan Liu 001; Aaron Honjaya; Yuekai Xu; Yi Zhang; Hefu Pan; Xin Wang 113; Linda G. Shapiro; Sheng Wang 012; Ruikang K. Wang (CoRR, 2025)

Offline Model-Based Optimization: Comprehensive Review. - Minsu Kim 004; Jiayao Gu; Ye Yuan 017; Taeyoung Yun; Zixuan Liu 001; Yoshua Bengio; Can Chen 005 (CoRR, 2025)