A novel wrapper method for feature selection and its applications. - Gang Chen 024; Jin Chen (Neurocomputing, 2015)

Active learning based requirement mining for cyber-physical systems. - Gang Chen 024; Zachary Sabato; Zhaodan Kong (CDC, 2016)

Active Requirement Mining of Bounded-Time Temporal Properties of Cyber-Physical Systems. - Gang Chen 024; Zachary Sabato; Zhaodan Kong (CoRR, 2016)

Correct-by-Construction Approach for Self-Evolvable Robots. - Gang Chen 024; Zhaodan Kong (CoRR, 2017)

Data-Driven Approximate Abstraction for Black-Box Piecewise Affine Systems. - Gang Chen 024; Zhaodan Kong (ACC, 2018)

Partial-Fraction Expansion of Lossless Negative Imaginary Property and a Generalized Lossless Negative Imaginary Lemma. - Mei Liu; Gang Chen 024 (CDC, 2018)

Semantic parsing of automobile steering systems. - Gang Chen 024; Zachary Sabato; Zhaodan Kong (IOT, 2018)

Semantic Inference for Cyber-Physical Systems with Signal Temporal Logic. - Gang Chen 024; Mei Liu; Zhaodan Kong (CDC, 2019)

Necessary and sufficient conditions for lossless negative imaginary systems. - Mei Liu; Xingjian Jing; Gang Chen 024 (J. Frankl. Inst., 2020)

Data-Driven Real-Valued Timed-Failure-Propagation-Graph Refinement for Complex System Fault Diagnosis. - Gang Chen 024; Xinfan Lin; Zhaodan Kong (IEEE Control. Syst. Lett., 2021)

Temporal-Logic-Based Semantic Fault Diagnosis With Time-Series Data From Industrial Internet of Things. - Gang Chen 024; Mei Liu; Zhaodan Kong (IEEE Trans. Ind. Electron., 2021)

Control Synthesis of Energy Harvesting MEMS Devices with Load-based Spectral Logic Specifications. - Gang Chen 024; Yu Lu; Rong Su 001 (ICCA, 2022)

Timed failure propagation graph construction with supremal language guided Tree-LSTM and its application to interpretable fault diagnosis. - Gang Chen 024 (Appl. Intell., 2022)

Interpretable fault diagnosis with shapelet temporal logic: Theory and application. - Gang Chen 024; Yu Lu; Rong Su 001 (Autom., 2022)

Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network. - Gang Chen 024; Yu Lu; Rong Su 001; Zhaodan Kong (CoRR, 2022)

Negative imaginariness and positive realness analysis of state-space symmetric systems with interval uncertainty. - Mei Liu; Hong Lin; Yan Wang; Gang Chen 024 (J. Syst. Control. Eng., 2022)

Temporal Logic Inference for Fault Detection of Switched Systems With Gaussian Process Dynamics. - Gang Chen 024; Peng Wei; Mei Liu (IEEE Trans Autom. Sci. Eng., 2022)

Formal Language Generation for Fault Diagnosis With Spectral Logic via Adversarial Training. - Gang Chen 024; Peng Wei; Huiming Jiang; Mei Liu (IEEE Trans. Ind. Informatics, 2022)

Evolution strategies-based optimized graph reinforcement learning for solving dynamic job shop scheduling problem. - Chupeng Su; Cong Zhang; Dan Xia; Baoan Han; Chuang Wang 010; Gang Chen 024; Longhan Xie (Appl. Soft Comput., 2023)

Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network. - Gang Chen 024; Penghong Lu; Yukun Tang (ICARCV, 2024)

Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery. - Gang Chen 024; Junlin Yuan; Yiyue Zhang; Hanyue Zhu; Ruyi Huang; Fengtao Wang; Weihua Li 004 (IEEE Access, 2024)

Cognitive Manipulation: Semi-supervised Visual Representation and Classroom-to-real Reinforcement Learning for Assembly in Semi-structured Environments. - Chuang Wang 010; Lie Yang; Ze Lin; Yizhi Liao; Gang Chen 024; Longhan Xie (CoRR, 2024)

Extended residual learning with one-shot imitation learning for robotic assembly in semi-structured environment. - Chuang Wang 010; Chupeng Su; Baozheng Sun; Gang Chen 024; Longhan Xie (Frontiers Neurorobotics, 2024)

Knowledge-based Clustering Federated Learning for fault diagnosis in robotic assembly. - Peng Xiao; Chuang Wang 010; Ze Lin; Ying Hao; Gang Chen 024; Longhan Xie (Knowl. Based Syst., 2024)

Fast Pareto set approximation for multi-objective flexible job shop scheduling via parallel preference-conditioned graph reinforcement learning. - Chupeng Su; Cong Zhang; Chuang Wang 010; Weihong Cen; Gang Chen 024; Longhan Xie (Swarm Evol. Comput., 2024)

A Neural-Symbolic Network for Interpretable Fault Diagnosis of Rolling Element Bearings Based on Temporal Logic. - Ruoyao Tian; Mengqian Cui; Gang Chen 024 (IEEE Trans. Instrum. Meas., 2024)

Task attention-based multimodal fusion and curriculum residual learning for context generalization in robotic assembly. - Chuang Wang 010; Ze Lin; Biao Liu; Chupeng Su; Gang Chen 024; Longhan Xie (Appl. Intell., 2024)

Adaptive Constraints-Based Instantaneous Frequency Estimation for Overlapped Multicomponent Signals. - Du Li; Penghong Lu; Yingjie Zhang; Gang Chen 024 (ISSSR, 2025)

Decomposition-Based MPC for Uncertain Systems With Nested Signal Temporal Logic Specifications. - Jiarui Zhang; Penghong Lu; Gang Chen 024 (IEEE Control. Syst. Lett., 2025)

Collaborative design of fault diagnosis and fault tolerance control under nested signal temporal logic specifications. - Penghong Lu; Gang Chen 024; Rong Su 001 (CoRR, 2025)