| 2025 | AAAI | Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent. | Jun Chen, Hong Chen, Bin Gu, Guodong Liu, Yingjie Wang, Weifu Li |
| 2025 | AAAI | DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent. | Dingbo Yuan, Yipeng Chen, Guodong Liu, Chenchen Li, Chengfu Tang, Dongxu Zhang, Zhenkui Wang, Xudong Wang, Song Liu |
| 2025 | ICCV | SMP-Attack: Boosting the Transferability of Feature Importance-Based Adversarial Attack with Semantics-Aware Multi-Granularity Patchout. | Wen Yang, Guodong Liu, Di Ming |
| 2025 | ICDM | Selective Channel-Quality-Guided EEG Denoising for Brain Disorder Prediction. | Yang Du, Siyuan Dai, Marcus Zhan, Guodong Liu, Paul M. Thompson, Heng Huang, Haoteng Tang |
| 2024 | ACL | Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection. | Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang |
| 2024 | EuroSys | Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation. | Guodong Liu, Youshan Miao, Zhiqi Lin, Xiaoxiang Shi, Saeed Maleki, Fan Yang, Yungang Bao, Sa Wang |
| 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 | BMVC | Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning. | Guodong Liu, Tongling Wang, Shuoxi Zhang, Kun He |
| 2022 | ASPLOS | Breaking the computation and communication abstraction barrier in distributed machine learning workloads. | Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi |
| 2021 | AMIA | Early Prediction of Autism Spectrum Disorder Using Health Claims Data. | Yu-Hsin Chen, Qiushi Chen, Lan Kong, Guodong Liu |
| 2020 | ICML | Sparse Shrunk Additive Models. | Guodong Liu, Hong Chen, Heng Huang |
| 2017 | KDD | Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping. | Bin Gu, Guodong Liu, Heng Huang |
| 2016 | IROS | A simple 2D straight-leg passive dynamic walking model without foot-scuffing problem. | Qingdu Li, Guodong Liu, Jun Tang, Jianwei Zhang |
| 2016 | MMM | An Improved RANSAC Image Stitching Algorithm Based Similarity Degree. | Yule Ge, Chunxiao Gao, Guodong Liu |
| 2011 | ICIG | Weighted Local Binary Pattern Infrared Face Recognition Based on Weber's Law. | Zhihua Xie, Guodong Liu |
| 2010 | CIS | Infrared Face Recognition Based on Blood Perfusion and Weighted Block-DCT in Wavelet Domain. | Cuiqun He, Guodong Liu, Zhihua Xie |
| 2010 | GRC | Stochastic Synchronization of Non-identical Genetic Networks with Time Delay. | Zhengxia Wang, Guodong Liu |
| 2009 | ICNC | Stability of Stochastic Impulsive Neural Networks with Unbounded Time-Varying Delays. | Guodong Liu, Guoxioxng Wu, Zhengxia Wang, Jingsheng Ding |
| 2008 | ICNC | Robust Stability of Stochastic Genetic Regulatory Networks with Time-Varying Delays. | Zhengxia Wang, Jiali Mao, Guodong Liu, Haixia Wu |
| 2006 | SIGGRAPH | Human motion estimation from a reduced marker set. | Guodong Liu, Jingdan Zhang, Wei Wang, Leonard McMillan |
| 2006 | SCA | Segment-based human motion compression. | Guodong Liu, Leonard McMillan |
| 2005 | SIGMOD | A system for analyzing and indexing human-motion databases. | Guodong Liu, Jingdan Zhang, Wei Wang, Leonard McMillan |