Liang Zhan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
7
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation. | Kun Zhao, Chenghao Xiao, Sixing Yan, Haoteng Tang, William K. Cheung, Noura Al Moubayed, Liang Zhan, Chenghua Lin |
| 2025 | EMNLP | Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation. | Bohao Yang, Kun Zhao, Dong Liu, Chen Tang, Liang Zhan, Chenghua Lin |
| 2025 | ICDM | Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. | Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan |
| 2025 | ICDM | Pretraining a Generative AI Model on CBT Sessions to Emulate Human Therapist Strategies: A Study Using the APA Psyctherapy Database. | Fabiha Islam, Kun Zhao, Bart Knijnenburg, Mei-Hsiu Chen, Alex D. Leow, Purushothaman Muthukanagaraj, Liang Zhan, Chao Shi |
| 2025 | ICDM | Who Matters More in Radiology Report Generation: Vision Encoders or Language Models? | Kun Zhao, Yang Du, Rhianna Zhang, Liang Zhan, Dongkuan Xu, Pengfei Gu, Haoteng Tang |
| 2024 | AAAI | Uncertainty Regularized Evidential Regression. | Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan |
| 2024 | ACL | SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation. | Kun Zhao, Bohao Yang, Chen Tang, Chenghua Lin, Liang Zhan |
| 2024 | KDD | Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. | Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou |
| 2024 | MICCAI | Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. | Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan |
| 2024 | MICCAI | Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. | Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang |
| 2023 | MICCAI | Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. | Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan |
| 2022 | GLOBECOM | Accelerate State Sharing of Network Function with RDMA. | Chenming Chang, Wei Yang, Chao Zheng, Ping Jiang, Liang Zhan, Qingyun Liu |
| 2022 | MICCAI | Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder. | Carlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan, Alex D. Leow, Theja Tulabandhula |
| 2022 | MICCAI | Predicting Spatio-Temporal Human Brain Response Using fMRI. | Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang |
| 2022 | MICCAI | Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. | Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang |
| 2022 | MICCAI | Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. | Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang |
| 2021 | MICCAI | Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. | Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang |
| 2020 | KDD | Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning. | Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu |
| 2020 | KDD | Multimodal Learning with Incomplete Modalities by Knowledge Distillation. | Qi Wang, Liang Zhan, Paul M. Thompson, Jiayu Zhou |
| 2020 | MICCAI | Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. | Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang |
| 2020 | MICCAI | Deep Representation Learning for Multimodal Brain Networks. | Wen Zhang, Liang Zhan, Paul M. Thompson, Yalin Wang |
| 2019 | MICCAI | Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function. | Igor Fortel, Mitchell Butler, Laura E. Korthauer, Liang Zhan, Olusola Ajilore, Ira Driscoll, Anastasios Sidiropoulos, Yanfu Zhang, Lei Guo, Heng Huang, Dan Schonfeld, Alex D. Leow |
| 2019 | MICCAI | Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding. | Haoteng Tang, Lei Guo, Emily L. Dennis, Paul M. Thompson, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan |
| 2019 | MICCAI | Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. | Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang |
| 2019 | MICCAI | Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study. | Yanfu Zhang, Liang Zhan, Paul M. Thompson, Heng Huang |
| 2018 | KDD | Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. | Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou |
| 2018 | MICCAI | Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome. | Zachery Morrissey, Liang Zhan, Hyekyoung Lee, Johnson J. G. Keiriz, Angus G. Forbes, Olusola Ajilore, Alex D. Leow, Moo K. Chung |
| 2017 | KDD | Multi-Modality Disease Modeling via Collective Deep Matrix Factorization. | Qi Wang, Mengying Sun, Liang Zhan, Paul Thompson, Shuiwang Ji, Jiayu Zhou |
| 2016 | MICCAI | Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. | Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang |
| 2015 | MICCAI | Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms. | Emily L. Dennis, Gautam Prasad, Madelaine Daianu, Liang Zhan, Talin Babikian, Claudia Kernan, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher C. Giza, Robert F. Asarnow, Paul M. Thompson |
| 2013 | MICCAI | Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla. | Emily L. Dennis, Liang Zhan, Neda Jahanshad, Bryon A. Mueller, Yan Jin, Christophe Lenglet, Essa Yacoub, Guillermo Sapiro, Kmil Ugurbil, Noam Harel, Arthur W. Toga, Kelvin O. Lim, Paul M. Thompson |
| 2012 | MICCAI | A Framework for Quantifying Node-Level Community Structure Group Differences in Brain Connectivity Networks. | Johnson J. GadElkarim, Dan Schonfeld, Olusola Ajilore, Liang Zhan, Aifeng Zhang, Jamie Feusner, Paul M. Thompson, Tony J. Simon, Anand R. Kumar, Alex D. Leow |
| 2012 | MICCAI | Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases. | Yan Jin, Yonggang Shi, Liang Zhan, Junning Li, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson |
| 2012 | MICCAI | Hierarchical Structural Mapping for Globally Optimized Estimation of Functional Networks. | Alex D. Leow, Liang Zhan, Donatello Arienzo, Johnson J. GadElkarim, Aifeng Zhang, Olusola Ajilore, Anand R. Kumar, Paul M. Thompson, Jamie Feusner |
| 2011 | MICCAI | Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins. | Yan Jin, Yonggang Shi, Shantanu H. Joshi, Neda Jahanshad, Liang Zhan, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, Arthur W. Toga, Paul M. Thompson |
| 2009 | MICCAI | A Novel Measure of Fractional Anisotropy Based on the Tensor Distribution Function. | Liang Zhan, Alex D. Leow, Siwei Zhu, Marina Barysheva, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Margaret J. Wright, Paul M. Thompson |