| 2026 | AAAI | Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems. | Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Shohei Kato, Wen Gu |
| 2024 | ICASSP | Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors. | Xiaohu Li, Jiawei Liu, Guorui Liao, Mingrui Yin, Shu Wang, Guoxin Su, Jun Liao, Li Liu |
| 2023 | ADMA | Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning. | Saugata Bose, Guoxin Su, Li Liu |
| 2023 | ICAART | Partner Selection Strategy in Open, Dynamic and Sociable Environments. | Qin Liang, Wen Gu, Shohei Kato, Fenghui Ren, Guoxin Su, Takayuki Ito, Minjie Zhang |
| 2023 | ICAART | Ranking-Based Partner Selection Strategy in Open, Dynamic and Sociable Environments. | Qin Liang, Wen Gu, Shohei Kato, Fenghui Ren, Guoxin Su, Takayuki Ito, Minjie Zhang |
| 2023 | PKAW | LexiFusedNet: A Unified Approach for Imbalanced Short-Text Classification Using Lexicon-Based Feature Extraction, Transfer Learning and One Class Classifiers. | Saugata Bose, Guoxin Su |
| 2023 | PKAW | Information Gerrymandering in Elections. | Xiaoxue Liu, Shohei Kato, Fenghui Ren, Guoxin Su, Minjie Zhang, Wen Gu |
| 2022 | LREC | Deep One-Class Hate Speech Detection Model. | Saugata Bose, Guoxin Su |
| 2021 | SMC | Stacked LSTM-Based Dynamic Hand Gesture Recognition with Six-Axis Motion Sensors. | Yidi Zhang, Mengyuan Ran, Jun Liao, Guoxin Su, Ming Liu, Li Liu |
| 2018 | KSEM | Recognizing Diseases from Physiological Time Series Data Using Probabilistic Model. | Danni Wang, Li Liu, Guoxin Su, Yande Li, Aamir Khan |
| 2017 | COMPSAC | An Inferential Metamorphic Testing Approach to Reduce False Positives in SQLIV Penetration Test. | Lei Liu, Guoxin Su, Jing Xu, Biao Zhang, Jiehui Kang, Sihan Xu, Peng Li, Guannan Si |
| 2017 | ICSE | ProEva: runtime proactive performance evaluation based on continuous-time markov chains. | Guoxin Su, Taolue Chen, Yuan Feng, David S. Rosenblum |
| 2016 | FASE | An Iterative Decision-Making Scheme for Markov Decision Processes and Its Application to Self-adaptive Systems. | Guoxin Su, Taolue Chen, Yuan Feng, David S. Rosenblum, P. S. Thiagarajan |
| 2016 | ICSE | Reliability of Run-Time Quality-of-Service evaluation using parametric model checking. | Guoxin Su, David S. Rosenblum, Giordano Tamburrelli |
| 2014 | ATVA | Nested Reachability Approximation for Discrete-Time Markov Chains with Univariate Parameters. | Guoxin Su, David S. Rosenblum |
| 2014 | CONCUR | Perturbation Analysis in Verification of Discrete-Time Markov Chains. | Taolue Chen, Yuan Feng, David S. Rosenblum, Guoxin Su |
| 2014 | ICSE | Perturbation analysis of stochastic systems with empirical distribution parameters. | Guoxin Su, David S. Rosenblum |
| 2013 | ICFEM | Asymptotic Bounds for Quantitative Verification of Perturbed Probabilistic Systems. | Guoxin Su, David S. Rosenblum |
| 2010 | ECSA | An ADL-Approach to Specifying and Analyzing Centralized-Mode Architectural Connection. | Guoxin Su, Mingsheng Ying, Chengqi Zhang |