An improved learning law for backpropagation networks. - Su Zhou; Dobrivoje Popovic; Günter Schulz-Ekloff (ICNN, 1993)

Adaptive learning of neural networks and its application to identification of dynamical systems: one example of a chemical process. - Su Zhou (1993)

Simple Model Analysis and Performance Tuning of Hybrid TCP Congestion Control. - Jiro Katto; Kazumine Ogura; Yuki Akae; Tomoki Fujikawa; Kazumi Kaneko; Su Zhou (GLOBECOM, 2008)

Mesh-based data delivery over multiple tree-shaped routes in P2P overlay network. - Suphakit Awiphan; Su Zhou; Jiro Katto (ICOIN, 2009)

Robust Mesh-Based Data Delivery over Multiple Tree-Shaped Routes in P2P Overlay Network. - Suphakit Awiphan; Su Zhou; Jiro Katto (ISORC, 2009)

A Comparative Study of SIMULINK 1D Dynamic Model and FLUENT 3D Model for PEMFC Faults Diagnosis. - Fenglai Pei; Nan Wang; Su Zhou (Int. J. Online Eng., 2013)

Research on Autonomous Driving based on a Highly Flexible Prototype Vehicle. - Helmut Brunner; Xuelei Zhi; Matthias Mietschnig; Stephen Jones; Su Zhou; Gerald Steinbauer; Mario Hirz (ICCVE, 2019)

Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression. - Su Zhou; Shulin Wang; Qi Wu; Riasat Azim; Wen Li 009 (Comput. Biol. Chem., 2020)

Tinnitus Recognition by EEG signals Based on Wavelet Transform and Deep Neural Networks. - Su Zhou; Cuixiang Su (BECB, 2021)

Bipartite synchronization of coupled Lurie networks with signed graph and time-varying delay. - Su Zhou; Yanbo Gao (Eur. J. Control, 2021)

DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking. - Yue Liu; Shu-Lin Wang; Jun-Feng Zhang; Wei Zhang 089; Su Zhou; Wen Li 009 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A miRNA-Disease Association Identification Method Based on Reliable Negative Sample Selection and Improved Single-Hidden Layer Feedforward Neural Network. - Qinglong Tian; Su Zhou; Qi Wu (Inf., 2022)

Research on Vehicle Adaptive Real-Time Positioning Based on Binocular Vision. - Su Zhou; Gang Zhang; Ran Yi; Zhengchun Xie (IEEE Intell. Transp. Syst. Mag., 2022)

SMRSTORE: A Storage Engine for Cloud Object Storage on HM-SMR Drives. - Su Zhou; Erci Xu; Hao Wu; Yu Du; Jiacheng Cui; Wanyu Fu; Chang Liu; Yingni Wang; Wenbo Wang; Shouqu Sun; Xianfei Wang; Bo Feng; et al. (FAST, 2023)

Research on self-supervised depth estimation algorithm of driving scene based on monocular vision. - Zhengchun Xie; Su Zhou; Miao Zheng; Fenglai Pei (Signal Image Video Process., 2023)

AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. - Zhiqiang Tang; Haoyang Fang; Su Zhou; Taojiannan Yang; Zihan Zhong; Cuixiong Hu; Katrin Kirchhoff; George Karypis (AutoML, 2024)

Data Augmentation for Object Detection via Controllable Diffusion Models. - Haoyang Fang; Boran Han; Shuai Zhang 007; Su Zhou; Cuixiong Hu; Wenming Ye (WACV, 2024)

AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models. - Zhiqiang Tang; Haoyang Fang; Su Zhou; Taojiannan Yang; Zihan Zhong; Tony Hu; Katrin Kirchhoff; George Karypis (CoRR, 2024)

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation. - Haoyang Fang; Boran Han; Nick Erickson; Xiyuan Zhang; Su Zhou; Anirudh Dagar; Jiani Zhang 003; Ali Caner Türkmen; Cuixiong Hu; Huzefa Rangwala; Ying Nian Wu; Yuyang Wang 001; et al. (CoRR, 2025)