Peixin Wang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Quantitative Verification of Constrained Occupation Time for Stochastic Discrete-time Systems.
CoRR, April, 2026

Precise Rotor Position Detection for Skewed-PM Axial Flux Motors Using Orthogonal Third-Harmonic Hall Signals.
IEEE Trans. Ind. Electron., March, 2026

Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification.
CoRR, March, 2026

A Formal Framework for Predicting Distributed System Performance under Faults (Extended Version).
CoRR, February, 2026

Neural Theorem Proving for Verification Conditions: A Real-World Benchmark.
CoRR, January, 2026

MaskCtrl: Training mask networks as self-explainable and performant controllers via deep reinforcement learning.
Neural Networks, 2026

A Formal Framework for Predicting Distributed System Performance Under Faults.
Proceedings of the Formal Methods - 27th International Symposium, 2026

2025
Quantitative Verification of Omega-regular Properties in Probabilistic Programming.
CoRR, December, 2025

Comparative Analysis of Barrier-like Function Methods for Reach-Avoid Verification in Stochastic Discrete-Time Systems.
CoRR, December, 2025

DEVAL: A Framework for Evaluating and Improving the Derivation Capability of Large Language Models.
CoRR, November, 2025

Analytical Modeling and Optimal Design of Slotted Axial Flux PM Motor With Equidirectional Toroidal Winding.
IEEE Trans. Ind. Electron., October, 2025

Refined Barrier Conditions for Finite-Time Safety and Reach-Avoid Guarantees in Stochastic Systems.
CoRR, September, 2025

Multimode Drive and Control for Double-Stator Switched Reluctance Motor by a Three-Switch Symmetrical Converter.
IEEE Trans. Ind. Electron., May, 2025

General Analytical Modeling for Armature Magnetic Field of Equidirectional Toroidal Winding Motor Based on CDMPF Method.
IEEE Trans. Ind. Electron., March, 2025

Structural Abstraction and Refinement for Probabilistic Programs.
Proc. ACM Program. Lang., 2025

ATA: An Abstract-Train-Abstract approach for explanation-friendly deep reinforcement learning.
Neural Networks, 2025

Formal Verification of Neural Network-Controlled Systems via Proof Certificates.
Proceedings of the Engineering Trustworthy Software Systems - 7th International School, 2025

A Variable Stiffness Supernumerary Robotic Limb with Pneumatic-Tendon Coupled Actuation <sup>*</sup>.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Air-Ground-Wall Robot with Multimodal Morphological Adaptation.
Proceedings of the Intelligent Robotics and Applications - 18th International Conference, 2025

Design and Human-Robot Collaborative Control of Reconfigurable Supernumerary Robotic Limb for Overhead Work.
Proceedings of the Intelligent Robotics and Applications - 18th International Conference, 2025

UIOrchestra: Generating High-Fidelity Code from UI Designs with a Multi-agent System.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
A Dual-Rotor Axial-Flux PM Motor With Equidirectional Toroidal Winding and 3-Slot/4-Pole Unit Block for Torque Density Improvement.
IEEE Trans. Ind. Electron., December, 2024

Unified Analytical Modeling of Armature Magnetic Field of Slotless PM Motor With Equidirectional Toroidal Winding.
IEEE Trans. Ind. Electron., September, 2024

Static Posterior Inference of Bayesian Probabilistic Programming via Polynomial Solving.
Proc. ACM Program. Lang., 2024

Opening the black box of Library Hi Tech: a social network and bibliometric analysis.
Libr. Hi Tech, 2024

Taming Reachability Analysis of DNN-Controlled Systems via Abstraction-Based Training.
Proceedings of the Verification, Model Checking, and Abstract Interpretation, 2024

EEG Decoding of Auditory Spatial Attention Based on Visibility Graph and Machine Learning.
Proceedings of the International Conference on Computer Vision and Deep Learning, 2024

Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled Systems.
Proceedings of the Computer Aided Verification - 36th International Conference, 2024

Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Kriging-Assisted Multiobjective Optimization of Embedded Magnetic Encoder in PM Synchronous Machines.
IEEE Trans. Instrum. Meas., 2023

Template-Based Static Posterior Inference for Bayesian Probabilistic Programming.
CoRR, 2023

Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Principle of Flux-Switching PM Machine by Magnetic Field Modulation Theory Part II: Electromagnetic Torque Generation.
IEEE Trans. Ind. Electron., 2022

Principle of Flux-Switching Permanent Magnet Machine by Magnetic Field Modulation Theory Part I: Back-Electromotive-Force Generation.
IEEE Trans. Ind. Electron., 2022

Torque Ripple Suppression of Flux-Switching Permanent Magnet Machine Based on General Air-Gap Field Modulation Theory.
IEEE Trans. Ind. Electron., 2022

Inductance Characteristics of Flux-Switching Permanent Magnet Machine Based on General Air-Gap Filed Modulation Theory.
IEEE Trans. Ind. Electron., 2022

Implementation of Embedded Magnetic Encoder for Rotor Position Detection Based on Arbitrary Phase-Shift Phase-Lock Loop.
IEEE Trans. Ind. Electron., 2022

Investigating academic conference publications from provincial administrative regions in the mainland of China.
Learn. Publ., 2022

BBReach: Tight and Scalable Black-Box Reachability Analysis of Deep Reinforcement Learning Systems.
CoRR, 2022

Stability for the 2D anisotropic surface quasi-geostrophic equation with horizontal dissipation.
Appl. Math. Lett., 2022

Application of Association Rules in Telecommunication Network Fraud Cases.
Proceedings of the 7th International Conference on Cyber Security and Information Engineering, 2022

2020
Proving expected sensitivity of probabilistic programs with randomized variable-dependent termination time.
Proc. ACM Program. Lang., 2020

Time-of-arrival-based localization algorithm in mixed line-of-sight/non-line-of-sight environments.
Int. J. Distributed Sens. Networks, 2020

2019
Proving Expected Sensitivity of Probabilistic Programs with Randomized Execution Time.
CoRR, 2019

Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning.
Complex., 2019

Cost analysis of nondeterministic probabilistic programs.
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019


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