| 2026 | AAAI | Stratos: An End-to-End Distillation Pipeline for Customized LLMs Under Distributed Cloud Environments. | Ziming Dai, Tuo Zhang, Fei Gao, Xingyi Cai, Xiaofei Wang, Cheng Zhang, Wenyu Wang, Chengjie Zang |
| 2025 | ACL | Reconsidering LLM Uncertainty Estimation Methods in the Wild. | Yavuz Faruk Bakman, Duygu Nur Yaldiz, Sungmin Kang, Tuo Zhang, Baturalp Buyukates, Salman Avestimehr, Sai Praneeth Karimireddy |
| 2025 | ACL | Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding. | Tuo Zhang, Tiantian Feng, Yibin Ni, Mengqin Cao, Ruying Liu, Kiana Avestimehr, Katharine Butler, Yanjun Weng, Mi Zhang, Shrikanth Narayanan, Salman Avestimehr |
| 2025 | CVPR | GPT-FL: Generative Pre-trained Model-Assisted Federated Learning. | Tuo Zhang, Tiantian Feng, Samiul Alam, Dimitrios Dimitriadis, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr |
| 2025 | ECAI | Enabling Weak Client Participation via On-Device Knowledge Distillation in Heterogeneous Federated Learning. | Jihyun Lim, Junhyuk Jo, Tuo Zhang, Sunwoo Lee |
| 2025 | ICRA | HARP: Human-Assisted Regrouping With Permutation Invariant Critic for Multi-Agent Reinforcement Learning. | Huawen Hu, Enze Shi, Chenxi Yue, Shuocun Yang, Zihao Wu, Yiwei Li, Tianyang Zhong, Tuo Zhang, Tianming Liu, Shu Zhang |
| 2025 | NOSSDAV | ModalityMirror: Enhancing Audio Classification in Modality Heterogeneity Federated Learning via Multimodal Distillation. | Tiantian Feng, Tuo Zhang, Salman Avestimehr, Shrikanth Narayanan |
| 2024 | ACL | Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers. | Tuo Zhang, Jinyue Yuan, Salman Avestimehr |
| 2024 | CEC | A Two-Stage Approach Using Genetic Algorithm and Genetic Programming for Remote Sensing Crop Classification. | Jing Liang, Zexuan Yang, Tuo Zhang, Ying Bi |
| 2024 | EACL | The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change. | Dominik Schlechtweg, Shafqat Mumtaz Virk, Pauline Sander, Emma Skldberg, Lukas Theuer Linke, Tuo Zhang, Nina Tahmasebi, Jonas Kuhn, Sabine Schulte im Walde |
| 2024 | GECCO | Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. | Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang |
| 2024 | ICONIP | Semantic Mapping and Reconstruction from Brain Activation to Natural Images Using LDM and LLM. | Han Zhang, Xiao Li, Yaonai Wei, Chenjie Jia, Qitai Sun, Xiaowei He, Yudan Ren, Tuo Zhang |
| 2024 | MICCAI | F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction. | Zhibin He, Wuyang Li, Yu Jiang, Zhihao Peng, Pengyu Wang, Xiang Li, Tianming Liu, Junwei Han, Tuo Zhang, Yixuan Yuan |
| 2024 | MICCAI | Epileptic Seizure Detection in SEEG Signals Using a Unified Multi-Scale Temporal-Spatial-Spectral Transformer Model. | Zhuoyi Li, Wenjun Li, Ning Zhu, Junwei Han, Tianming Liu, Beibei Chen, Zhiqiang Yan, Tuo Zhang |
| 2024 | MICCAI | Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. | Li Yang, Zhibin He, Tianyang Zhong, Changhe Li, Dajiang Zhu, Junwei Han, Tianming Liu, Tuo Zhang |
| 2023 | AAAI | Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning. | Sunwoo Lee, Tuo Zhang, Amir Salman Avestimehr |
| 2023 | CVPR | TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. | Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr |
| 2023 | ICASSP | FedAudio: A Federated Learning Benchmark for Audio Tasks. | Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr |
| 2023 | KDD | FedMultimodal: A Benchmark for Multimodal Federated Learning. | Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan |
| 2023 | MICCAI | Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet. | Jiaxing Gao, Lin Zhao, Tianyang Zhong, Changhe Li, Zhibin He, Yaonai Wei, Shu Zhang, Lei Guo, Tianming Liu, Junwei Han, Tuo Zhang |
| 2023 | MICCAI | $\mathrm {H^{2}}$GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment. | Zhibin He, Wuyang Li, Tuo Zhang, Yixuan Yuan |
| 2023 | MICCAI | A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding. | Tianyang Zhong, Xiaozheng Wei, Enze Shi, Jiaxing Gao, Chong Ma, Yaonai Wei, Songyao Zhang, Lei Guo, Junwei Han, Tianming Liu, Tuo Zhang |
| 2022 | MICCAI | A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure. | Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang |
| 2022 | MICCAI | Embedding Human Brain Function via Transformer. | Lin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Tuo Zhang, Dajiang Zhu, Tianming Liu |
| 2021 | MICCAI | Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks. | Mingxin Jiang, Shimin Yang, Zhongbo Zhao, Jiadong Yan, Yuzhong Chen, Tuo Zhang, Shu Zhang, Benjamin Becker, Keith M. Kendrick, Xi Jiang |
| 2021 | MICCAI | Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks. | Jiadong Yan, Yuzhong Chen, Shimin Yang, Shu Zhang, Mingxin Jiang, Zhongbo Zhao, Tuo Zhang, Yu Zhao, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang |
| 2021 | MICCAI | Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder. | Lin Zhao, Haixing Dai, Xi Jiang, Tuo Zhang, Dajiang Zhu, Tianming Liu |
| 2021 | SENSYS | Federated Learning for Internet of Things. | Tuo Zhang, Chaoyang He, Tianhao Ma, Lei Gao, Mark Ma, Salman Avestimehr |
| 2021 | UIC | A Dense Margin Network for Human Activity Recognition Based on Augmented Channel State Information. | Lijian Wei, Jun Feng, Yufei Liu, Tuo Zhang, Qirong Bu, Baoying Liu |
| 2020 | MICCAI | Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA. | Zhibin He, Shu Zhang, Songyao Zhang, Yin Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu, Lei Du, Tuo Zhang |
| 2020 | MICCAI | Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks. | Mingxin Jiang, Shimin Yang, Jiadong Yan, Shu Zhang, Huan Liu, Lin Zhao, Haixing Dai, Jinglei Lv, Tuo Zhang, Tianming Liu, Keith M. Kendrick, Xi Jiang |
| 2020 | MICCAI | Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. | Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang |
| 2020 | MICCAI | Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression. | Tuo Zhang, Zhibin He, Xi Jiang, Lei Guo, Xiaoping Hu, Tianming Liu, Lei Du |
| 2020 | WWW | Traveling the token world: A graph analysis of Ethereum ERC20 token ecosystem. | Weili Chen, Tuo Zhang, Zhiguang Chen, Zibin Zheng, Yutong Lu |
| 2019 | MICCAI | Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net. | Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu |
| 2019 | MICCAI | Species-Preserved Structural Connections Revealed by Sparse Tensor CCA. | Zhibin He, Ying Huang, Tianming Liu, Lei Guo, Lei Du, Tuo Zhang |
| 2019 | MICCAI | Multi-view Graph Matching of Cortical Landmarks. | Ying Huang, Zhibin He, Lei Guo, Tianming Liu, Tuo Zhang |
| 2019 | MICCAI | Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains. | Ying Huang, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang |
| 2019 | MICCAI | Group-Wise Graph Matching of Cortical Gyral Hinges. | Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Zhibin He, Lei Guo, Tianming Liu |
| 2019 | UIC | HumanFi: WiFi-Based Human Identification Using Recurrent Neural Network. | Xingxia Ming, Hongwei Feng, Qirong Bu, Jing Zhang, Gang Yang, Tuo Zhang |
| 2018 | MICCAI | Identification of Species-Preserved Cortical Landmarks. | Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Lei Guo, Tianming Liu |
| 2017 | MICCAI | Multi-way Regression Reveals Backbone of Macaque Structural Brain Connectivity in Longitudinal Datasets. | Tuo Zhang, Xiao Li, Lin Zhao, Xintao Hu, Tianming Liu, Lei Guo |
| 2016 | MICCAI | Modeling Functional Dynamics of Cortical Gyri and Sulci. | Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Tianming Liu |
| 2016 | MICCAI | Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA. | Xiao Li, Lei Du, Tuo Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu |
| 2016 | MICCAI | Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI. | Jinglei Lv, Armin Iraji, Fangfei Ge, Shijie Zhao, Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Zhifeng Kou, Tianming Liu |
| 2015 | MICCAI | Fiber Connection Pattern-Guided Structured Sparse Representation of Whole-Brain fMRI Signals for Functional Network Inference. | Xi Jiang, Tuo Zhang, Qinghua Zhao, Jianfeng Lu, Lei Guo, Tianming Liu |
| 2015 | MICCAI | Distance Networks for Morphological Profiling and Characterization of DICCCOL Landmarks. | Yue Yuan, Hanbo Chen, Jianfeng Lu, Tuo Zhang, Tianming Liu |
| 2015 | MICCAI | Multi-scale and Multimodal Fusion of Tract-Tracing, Myelin Stain and DTI-derived Fibers in Macaque Brains. | Tuo Zhang, Jun Kong, Ke Jing, Hanbo Chen, Xi Jiang, Longchuan Li, Lei Guo, Jianfeng Lu, Xiaoping Hu, Tianming Liu |
| 2014 | MICCAI | Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data. | Hanbo Chen, Yu Zhao, Tuo Zhang, Hongmiao Zhang, Hui Kuang, Meng Li, Joe Z. Tsien, Tianming Liu |
| 2013 | MICCAI | Identifying Group-Wise Consistent White Matter Landmarks via Novel Fiber Shape Descriptor. | Hanbo Chen, Tuo Zhang, Tianming Liu |
| 2013 | MICCAI | Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI. | Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Dinggang Shen, Lei Guo, Tianming Liu |
| 2013 | MICCAI | Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks. | Xi Jiang, Tuo Zhang, Dajiang Zhu, Kaiming Li, Jinglei Lv, Lei Guo, Tianming Liu |
| 2013 | MICCAI | Sparse Representation of Group-Wise FMRI Signals. | Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Xin Zhang, Xintao Hu, Tuo Zhang, Lei Guo, Tianming Liu |
| 2013 | MICCAI | Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks. | Jinglei Lv, Dajiang Zhu, Xintao Hu, Xin Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu |
| 2013 | MICCAI | Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data. | Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Lei Guo, Tianming Liu |
| 2012 | MICCAI | Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering. | Hanbo Chen, Kaiming Li, Dajiang Zhu, Tuo Zhang, Changfeng Jin, Lei Guo, Lingjiang Li, Tianming Liu |
| 2012 | MICCAI | Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles. | Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Kaiming Li, Xintao Hu, Junwei Han, Tianming Liu |
| 2012 | MICCAI | Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration. | Tuo Zhang, Lei Guo, Hanbo Chen, Xintao Hu, Kaiming Li, Tianming Liu |
| 2011 | HPCC | An Experience of a Lightweight User-Centric Dynamic Service Composition Mechanism. | Tuo Zhang, Ken Chen, ChunYang Yin, Maamar Akerma |
| 2011 | MICCAI | Assessing Regularity and Variability of Cortical Folding Patterns of Working Memory ROIs. | Hanbo Chen, Tuo Zhang, Kaiming Li, Xintao Hu, Lei Guo, Tianming Liu |
| 2011 | MICCAI | Resting State fMRI-Guided Fiber Clustering. | Bao Ge, Lei Guo, Jinglei Lv, Xintao Hu, Junwei Han, Tuo Zhang, Tianming Liu |
| 2011 | MICCAI | Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients. | Zhaojin Gong, Jianfeng Lu, Jia Chen, Yaping Wang, Yixuan Yuan, Tuo Zhang, Lei Guo, L. Stephen Miller |
| 2011 | MICCAI | Predicting Functional Brain ROIs via Fiber Shape Models. | Tuo Zhang, Lei Guo, Kaiming Li, Dajiang Zhu, Guangbin Cui, Tianming Liu |
| 2011 | MICCAI | Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures. | Degang Zhang, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Kaiming Li, Xi Jiang, Hanbo Chen, Jinglei Lv, Fan Deng, Qun Zhao |
| 2010 | ICMI | Human-centered attention models for video summarization. | Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu, Fan Deng, Tuo Zhang, Xi Jiang, Degang Zhang, Hanbo Chen, Xintao Hu, L. Stephen Miller, Tianming Liu |
| 2010 | MICCAI | A Dynamic Skull Model for Simulation of Cerebral Cortex Folding. | Hanbo Chen, Lei Guo, Jingxin Nie, Tuo Zhang, Xintao Hu, Tianming Liu |
| 2010 | MICCAI | Fiber-Centered Analysis of Brain Connectivities Using DTI and Resting State FMRI Data. | Jinglei Lv, Lei Guo, Xintao Hu, Tuo Zhang, Kaiming Li, Degang Zhang, Jianfei Yang, Tianming Liu |
| 2009 | MICCAI | Parametric Representation of Cortical Surface Folding Based on Polynomials. | Tuo Zhang, Lei Guo, Gang Li, Jingxin Nie, Tianming Liu |