An ADL-Approach to Specifying and Analyzing Centralized-Mode Architectural Connection. - Guoxin Su; Mingsheng Ying; Chengqi Zhang (ECSA, 2010)

Semantic Analysis of Component-aspect Dynamism for Connector-based Architecture Styles. - Guoxin Su; Mingsheng Ying; Chengqi Zhang (WICSA/ECSA, 2012)

Session Communication and Integration - Guoxin Su; Mingsheng Ying; Chengqi Zhang (CoRR, 2012)

Asymptotic Bounds for Quantitative Verification of Perturbed Probabilistic Systems. - Guoxin Su; David S. Rosenblum (ICFEM, 2013)

Software architecture modelling and analysis in process algebra - Guoxin Su (2013)

Nested Reachability Approximation for Discrete-Time Markov Chains with Univariate Parameters. - Guoxin Su; David S. Rosenblum (ATVA, 2014)

Perturbation Analysis in Verification of Discrete-Time Markov Chains. - Taolue Chen 001; Yuan Feng 001; David S. Rosenblum; Guoxin Su (CONCUR, 2014)

Perturbation analysis of stochastic systems with empirical distribution parameters. - Guoxin Su; David S. Rosenblum (ICSE, 2014)

An Iterative Decision-Making Scheme for Markov Decision Processes and Its Application to Self-adaptive Systems. - Guoxin Su; Taolue Chen 001; Yuan Feng 001; David S. Rosenblum; P. S. Thiagarajan (FASE, 2016)

Reliability of Run-Time Quality-of-Service evaluation using parametric model checking. - Guoxin Su; David S. Rosenblum; Giordano Tamburrelli (ICSE, 2016)

Asymptotic Perturbation Bounds for Probabilistic Model Checking with Empirically Determined Probability Parameters. - Guoxin Su; Yuan Feng 001; Taolue Chen 001; David S. Rosenblum (IEEE Trans. Software Eng., 2016)

An Inferential Metamorphic Testing Approach to Reduce False Positives in SQLIV Penetration Test. - Lei Liu; Guoxin Su; Jing Xu 008; Biao Zhang; Jiehui Kang; Sihan Xu; Peng Li; Guannan Si (COMPSAC (1), 2017)

ProEva: runtime proactive performance evaluation based on continuous-time markov chains. - Guoxin Su; Taolue Chen 001; Yuan Feng 001; David S. Rosenblum (ICSE, 2017)

Probabilistic model checking of perturbed MDPs with applications to cloud computing. - Yamilet R. Serrano Llerena; Guoxin Su; David S. Rosenblum (ESEC/SIGSOFT FSE, 2017)

A framework of mining semantic-based probabilistic event relations for complex activity recognition. - Li Liu 001; Shu Wang 005; Guoxin Su; Bin Hu 001; Yuxin Peng; Qingyu Xiong; Junhao Wen 001 (Inf. Sci., 2017)

Towards complex activity recognition using a Bayesian network-based probabilistic generative framework. - Li Liu 001; Shu Wang 005; Guoxin Su; Zi-Gang Huang; Ming Liu 007 (Pattern Recognit., 2017)

Recognizing Diseases from Physiological Time Series Data Using Probabilistic Model. - Danni Wang; Li Liu 001; Guoxin Su; Yande Li; Aamir Khan (KSEM (1), 2018)

Verifying the long-run behavior of probabilistic system models in the presence of uncertainty. - Yamilet R. Serrano Llerena; Marcel Böhme; Marc Brünink; Guoxin Su; David S. Rosenblum (ESEC/SIGSOFT FSE, 2018)

Wavelet packet analysis for speaker-independent emotion recognition. - Kunxia Wang; Guoxin Su; Li Liu 001; Shu Wang 005 (Neurocomputing, 2020)

Multiagent Task Allocation and Planning with Multi-Objective Requirements. - Thomas Robinson; Guoxin Su; Minjie Zhang (AAMAS, 2021)

Influential Online Forum User Detection Based on User Contribution and Relevance. - Wen Gu; Shohei Kato; Fenghui Ren; Guoxin Su; Takayuki Ito 001 (ICA, 2021)

Predicting Readmission Following Hospital Treatment for Patients with Alcohol Related Diagnoses in an Australian Regional Health District. - Jingxiang Zhang; Siyu Qian; Guoxin Su; Chao Deng 009; Ping Yu 004 (MedInfo, 2021)

Stacked LSTM-Based Dynamic Hand Gesture Recognition with Six-Axis Motion Sensors. - Yidi Zhang; Mengyuan Ran; Jun Liao 001; Guoxin Su; Ming Liu 007; Li Liu 001 (SMC, 2021)

Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network. - Jun Liao 001; Dandan Liu; Guoxin Su; Li Liu 001 (Appl. Intell., 2021)

Strategies Improve Social Welfare: An Empirical Study of Strategic Voting in Social Networks. - Xiaoxue Liu; Fenghui Ren; Guoxin Su; Minjie Zhang (AI, 2022)

Deep One-Class Hate Speech Detection Model. - Saugata Bose; Guoxin Su (LREC, 2022)

Recognizing Cognitive Load by a Hybrid Spatio-Temporal Causal Model from Multivariate Physiological Data. - Zirui Yong; Guoxin Su; Xiaohu Li; Lingyun Sun; Zejian Li; Li Liu 001 (ECML/PKDD (6), 2022)

Hand gesture recognition framework using a lie group based spatio-temporal recurrent network with multiple hand-worn motion sensors. - Shu Wang 005; Aiguo Wang; Mengyuan Ran; Li Liu 001; Yuxin Peng; Ming Liu 007; Guoxin Su; Adi Alhudhaif; Fayadh Alenezi; Norah Alnaim (Inf. Sci., 2022)

A single smartwatch-based segmentation approach in human activity recognition. - Yande Li; Lulan Yu; Jun Liao 001; Guoxin Su; Ammarah Hashmi; Li Liu 001; Shu Wang 005 (Pervasive Mob. Comput., 2022)

Quantitative Verification for Monitoring Event-Streaming Systems. - Guoxin Su; Li Liu 001; Minjie Zhang; David S. Rosenblum (IEEE Trans. Software Eng., 2022)

Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning. - Saugata Bose; Guoxin Su; Li Liu 001 (ADMA (1), 2023)

LexiFuse+: A Unified One-Class Solution for Imbalanced Short-Text Classification. - Saugata Bose; Guoxin Su (e-Science, 2023)

Partner Selection Strategy in Open, Dynamic and Sociable Environments. - Qin Liang; Wen Gu; Shohei Kato; Fenghui Ren; Guoxin Su; Takayuki Ito 001; Minjie Zhang (ICAART (2), 2023)

Ranking-Based Partner Selection Strategy in Open, Dynamic and Sociable Environments. - Qin Liang; Wen Gu; Shohei Kato; Fenghui Ren; Guoxin Su; Takayuki Ito 001; Minjie Zhang (ICAART (Revised Selected Paper), 2023)

Multi-objective Task Assignment and Multiagent Planning with Hybrid GPU-CPU Acceleration. - Thomas Robinson; Guoxin Su (NFM, 2023)

LexiFusedNet: A Unified Approach for Imbalanced Short-Text Classification Using Lexicon-Based Feature Extraction, Transfer Learning and One Class Classifiers. - Saugata Bose; Guoxin Su (PKAW, 2023)

Information Gerrymandering in Elections. - Xiaoxue Liu; Shohei Kato; Fenghui Ren; Guoxin Su; Minjie Zhang; Wen Gu (PKAW, 2023)

Counterfactual-based minority oversampling for imbalanced classification. - Shu Wang 005; Hao Luo; Shanshan Huang 004; Qingsong Li; Li Liu 001; Guoxin Su; Ming Liu 007 (Eng. Appl. Artif. Intell., 2023)

Statistical Model Checking in Process Mining: A Comprehensive Approach to Analyse Stochastic Processes. - Fawad Ali Mangi; Guoxin Su; Minjie Zhang (Future Internet, 2023)

Influence Propagation Based Influencer Detection in Online Forum. - Wen Gu; Shohei Kato; Fenghui Ren; Guoxin Su; Takayuki Ito 001; Shinobu Hasegawa (IEICE Trans. Inf. Syst., 2023)

Predicting lung cancer survival based on clinical data using machine learning: A review. - Fatimah Abdulazim Altuhaifa; Khin Than Win; Guoxin Su (Comput. Biol. Medicine, 2023)

Predicting Fall Events by a Spatio-Temporal Topological Network with Multiple Wearable Sensors. - Xiaohu Li; Jiawei Liu; Guorui Liao; Mingrui Yin; Shu Wang 005; Guoxin Su; Jun Liao 001; Li Liu 001 (ICASSP, 2024)

Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems. - Dingbang Liu; Shohei Kato; Wen Gu; Fenghui Ren; Jun Yan 005; Guoxin Su (NeurIPS, 2024)

Anomalous Speech Detection: Unleashing the Adaptive Power of VarietyDetect for Enhanced Short-Text Anomaly Detection through Transfer Learning and Self-Training. - Saugata Bose; Guoxin Su (WI/IAT, 2024)

Predicting Voting Outcomes for Multi-Alternative Elections in Social Networks. - Xiaoxue Liu; Fenghui Ren; Guoxin Su; Minjie Zhang; Wen Gu; Shohei Kato (IEEE Access, 2024)

Scaling Up Multi-Agent Reinforcement Learning: An Extensive Survey on Scalability Issues. - Dingbang Liu; Fenghui Ren; Jun Yan 005; Guoxin Su; Wen Gu; Shohei Kato (IEEE Access, 2024)

A pool-based simulated annealing approach for preference-aware influence maximisation in social networks. - Xiaoxue Liu; Shohei Kato; Wen Gu; Fenghui Ren; Guoxin Su; Minjie Zhang (Knowl. Based Syst., 2024)

Workflow Trace Profiling and Execution Time Analysis in Quantitative Verification. - Guoxin Su; Li Liu 001 (Future Internet, 2024)

Human-understandable explanation for software vulnerability prediction. - Hong Quy Nguyen; Thong Hoang; Hoa Khanh Dam; Guoxin Su; Zhenchang Xing; Qinghua Lu 001; Jiamou Sun (J. Syst. Softw., 2025)

CDSF: A curvature-driven semi-supervised framework with dynamic receptive fields for fine-grained vehicle component segmentation. - Zhili Gong; Chunyuan Zheng 001; Shanshan Huang 004; Huayi Yang; Guoxin Su; Li Liu 001 (Knowl. Based Syst., 2025)

Human attention guided multiagent hierarchical reinforcement learning for heterogeneous agents. - Dingbang Liu; Fenghui Ren; Jun Yan 005; Guoxin Su; Shohei Kato; Wen Gu; Minjie Zhang (Knowl. Based Syst., 2025)

Diffusion of Ordinal Opinions in Social Networks: An Agent-Based Model and Heuristics for Campaigning. - Xiaoxue Liu; Shohei Kato; Wen Gu; Fenghui Ren; Guoxin Su; Minjie Zhang (IEEE Trans. Comput. Soc. Syst., 2025)