Shrinidhi Kumbhar, Haofu Liao, Srikar Appalaraju, Kunwar Yashraj Singh, "Towards GUI Agents: Vision-Language Diffusion Models for GUI Grounding," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

Xiyue Zhu, Peng Tang, Haofu Liao, Srikar Appalaraju, "Turbocharging Web Automation: The Impact of Compressed History States," Findings of the Association for Computational Linguistics: ACL 2025, pp. 3644–3651.

Sungnyun Kim*, Haofu Liao*, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto, "DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models," Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

Gareth Funka-Lea, Haofu Liao, Shaohua Kevin Zhou, Yefeng Zheng, Yucheng Tang, "Three-Dimensional Segmentation from Two-Dimensional Intracardiac Echocardiography Imaging," U.S. Patent 12,171,614, 2024. Patent

Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, "DocTr: Document Transformer for Structured Information Extraction in Documents," IEEE/CVF International Conference on Computer Vision (ICCV), 2023.

Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, S. Kevin Zhou, "Deep Slice Interpolation via Marginal Super-Resolution, Fusion, and Refinement," State of the Art in Neural Networks and Their Applications, pp. 133–145, Academic Press, 2023.

Haofu Liao, S. Kevin Zhou, Jiebo Luo, "Deep Network Design for Medical Image Computing: Principles and Applications," Academic Press, 2022. Book

Wei Xiong, Neil Yeung, Shubo Wang, Haofu Liao, Liyun Wang, Jiebo Luo, "Breast Cancer Induced Bone Osteolysis Prediction using Temporal Variational Autoencoders," BME Frontiers, 2022.

Cheng Peng, Haofu Liao, S. Kevin Zhou, Rama Chellappa, "REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a Single 3D CBCT Acquisition," arXiv:2208, 2022.

Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto, "Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries," IEEE/CVF International Conference on Computer Vision (ICCV), October 2021.

Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo, "Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization," IEEE/CVF International Conference on Computer Vision (ICCV), October 2021.

Yuanyuan Lyu, Haofu Liao, Heqin Zhu, S. Kevin Zhou, "A³DSegNet: Anatomy-Aware Artifact Disentanglement and Segmentation Network for Unpaired Segmentation, Artifact Reduction, and Modality Translation," Information Processing in Medical Imaging (IPMI), June 2021.

Wei Zhu, Wenbin Li, Haofu Liao, Jiebo Luo, "Temperature Network for Few-Shot Learning with Distribution-Aware Large-Margin Metric," Pattern Recognition 112 (2021): 107797.

Cheng Peng*, Haofu Liao*, Gina Wong, Jiebo Luo, S. Kevin Zhou, Rama Chellappa, "XraySyn: Realistic View Synthesis from a Single Radiograph Through CT Prior," AAAI Conference on Artificial Intelligence (AAAI), February 2021.

Weijian Li, Haofu Liao, Shun Miao, Le Lu, Jiebo Luo, "Unsupervised Learning of Landmarks Based on Inter-Intra Subject Consistencies," International Conference on Pattern Recognition (ICPR), January 2021.

Shaohua Kevin Zhou, Haofu Liao, Wei-An Lin, "Unified Dual-Domain Network for Medical Image Formation, Recovery, and Analysis," U.S. Patent 11,120,582 B2, issued September 14, 2020. Patent

S. Kevin Zhou, Anirudh Nanduri, Jin-hyeong Park, Haofu Liao, "Method and System for 3D Reconstruction of X-ray CT Volume and Segmentation Mask from a Few X-ray Radiographs," U.S. Patent 10,709,394, issued July 14, 2020. Patent

Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, S. Kevin Zhou, "SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.

Haitian Zheng, Haofu Liao, Lele Chen, Wei Xiong, Tianlang Chen, Jiebo Luo, "Example-Guided Image Synthesis Across Arbitrary Scenes Using Masked Spatial-Channel Attention and Self-Supervision," European Conference on Computer Vision (ECCV), August 2020.

Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao, "Structured Landmark Detection via Topology-Adapting Deep Graph Learning," European Conference on Computer Vision (ECCV), August 2020.

Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo, "Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification," MICCAI, October 2020. Early Accept

Yuanyuan Lyu, Wei-An Lin, Haofu Liao, Jingjing Lu, S. Kevin Zhou, "Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography," MICCAI, October 2020.

Yipeng Zhang, Haofu Liao, Jin Xiao, Nisreen Al Jallad, Oriana Ly-Mapes, Jiebo Luo, "A Smartphone-Based System for Real-Time Early Childhood Caries Diagnosis," MICCAI Workshop on Perinatal Imaging, Placental and Preterm Image Analysis (PIPPI), October 2020.

Wei Xiong*, Wenbin Li*, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo, "CariGAN: Caricature Generation Through Weakly Paired Adversarial Learning," Neural Networks 132 (2020): 66–74.

Zhou Zhuang, Johnson V. John, Haofu Liao, Jiebo Luo, Paul Rubery, Addisu Mesfin, Sunil Kumar Boda, Jingwei Xie, Xinping Zhang, "Periosteum Mimetic Coating on Structural Bone Allografts via Electrospray Deposition Enhances Repair and Reconstruction of Segmental Defects," ACS Biomaterials Science & Engineering 6(11): 6241–6251, 2020.

Haofu Liao, Wei-An Lin, S. Kevin Zhou, Jiebo Luo, "ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction," IEEE Transactions on Medical Imaging (TMI), 2019.

Haofu Liao, Wei-An Lin, Jianbo Yuan, S. Kevin Zhou, Jiebo Luo, "Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction," MICCAI, October 2019. Oral (3.2%) · MICCAI Young Scientist Best Paper Award Finalist (0.8%)

Haofu Liao, Wei-An Lin, Zhimin Huo, Levon Vogelsang, William J. Sehnert, S. Kevin Zhou, Jiebo Luo, "Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction," MICCAI, October 2019.

Wei-An Lin*, Haofu Liao*, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, S. Kevin Zhou, "DuDoNet: Dual Domain Network for CT Metal Artifact Reduction," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2019.

Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, S. Kevin Zhou, "Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2019.

Jianbo Yuan, Haofu Liao, Rui Luo, Jiebo Luo, "Automatic Radiology Report Generation Based on Multi-view Image Fusion and Medical Concept Enrichment," MICCAI, October 2019.

Weijian Li, Viet-Duy Nguyen, Haofu Liao, Matt Wilder, Ke Cheng, Jiebo Luo, "Patch Transformer for Multi-tagging Whole Slide Histopathology Images," MICCAI, October 2019. Early Accept (~20%)

Gareth Funka-Lea, Haofu Liao, S. Kevin Zhou, Yefeng Zheng, Yucheng Tang, "Three-Dimensional Segmentation from Two-Dimensional Intracardiac Echocardiography Imaging," U.S. Patent Application 16/130,320, 2019. Patent

Haofu Liao, Yucheng Tang, Gareth Funka-Lea, Jiebo Luo, S. Kevin Zhou, "More Knowledge is Better: Cross-modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring," MICCAI, 2018. Early Accept (16%)

Haofu Liao, Zhimin Huo, William J. Sehnert, S. Kevin Zhou, Jiebo Luo, "Adversarial Sparse-View CBCT Artifact Reduction," MICCAI, 2018. Oral (4.7%) · Student Travel Award

Haofu Liao, S. Kevin Zhou, Yefeng Zheng, Gareth Funka-Lea, Jiebo Luo, "Collaborative Image Inpainting with Generative Image-to-Image Models," Asian Conference on Computer Vision (ACCV), 2018.

Haofu Liao, Addisu Mesfin, Jiebo Luo, "Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information," IEEE Transactions on Medical Imaging (TMI) 37(5): 1266–1275, 2018.

Samuel J. Weisenthal, Haofu Liao, Philip Ng, Martin S. Zand, "Sum of Previous Inpatient Serum Creatinine Measurements: A Practical Model for Acute Kidney Injury in Rehospitalized Patients," NIPS Workshop on Machine Learning for Health (ML4H), 2017.

Haofu Liao, Jiebo Luo, "A Deep Multitask Learning Approach to Skin Lesion Classification," AAAI Joint Workshop on Health Intelligence (W3PHIAI), 2017.

Haofu Liao, Yuncheng Li, Tianran Hu, Jiebo Luo, "Inferring Restaurant Styles by Mining Crowd Sourced Photos from User-Review Websites," IEEE International Conference on Big Data, 2016. Oral (19.4%)

Haofu Liao, Yuncheng Li, Jiebo Luo, "Skin Disease Classification versus Skin Lesion Characterization: Achieving Robust Diagnosis Using Multi-label Deep Neural Networks," International Conference on Pattern Recognition (ICPR), 2016.

Yu Wang, Yang Feng, Haofu Liao, Xiangyang Xu, Jiebo Luo, "Do They All Look the Same? Deciphering Chinese, Japanese and Koreans Using Big Data Computer Vision," IEEE International Conference on Big Data, Workshop on Pattern Mining and Application of Big Data (BigPMA), 2016.

Haofu Liao, Ping Chen, "Explore a Way of Improving the Computational Efficiency of the Block in Scilab," IEEE International Workshop on Open-source Software for Scientific Computation (OSSC), pp. 13–16, 2011.

Zhenzi Liu, Ping Chen, Haofu Liao, Huichao Zhou, "The Modeling and Simulation of Rayleigh Flat Fading Channels Based on Scilab," IEEE International Workshop on Open-source Software for Scientific Computation (OSSC), pp. 27–31, 2011.