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ORCIDPeixin Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Journal Articles
- 2024
[j14]Peixin Wang
, Tengshun Yang, Hongfei Fu, Guanyan Li, C.-H. Luke Ong:
Static Posterior Inference of Bayesian Probabilistic Programming via Polynomial Solving. Proc. ACM Program. Lang. 8(PLDI): 1361-1386 (2024)- [j13]Yanqi Wei, Jikai Si, Rui Nie, Peixin Wang, Shuai Xu, Chun Gan, Jing J. Liang:
Unified Analytical Modeling of Armature Magnetic Field of Slotless PM Motor With Equidirectional Toroidal Winding. IEEE Trans. Ind. Electron. 71(9): 11206-11216 (2024) - [j12]Jikai Si, Sen Li, Rui Nie, Peixin Wang, Shuai Xu, Chun Gan:
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. 71(12): 16200-16211 (2024) - 2023
- [j11]Yuchen Wang, Hengliang Zhang, Junli Zhang, Hang Yin, Peixin Wang, Chao Zhang, Wei Hua:
Kriging-Assisted Multiobjective Optimization of Embedded Magnetic Encoder in PM Synchronous Machines. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - 2022
- [j10]Peixin Wang:
Stability for the 2D anisotropic surface quasi-geostrophic equation with horizontal dissipation. Appl. Math. Lett. 123: 107577 (2022) - [j9]Guijie Zhang, Fangfang Wei, Peixin Wang, Yikai Liang:
Investigating academic conference publications from provincial administrative regions in the mainland of China. Learn. Publ. 35(2): 92-104 (2022) - [j8]Yuchen Wang, Xuguang Bao, Wei Hua, Kai Liu, Peixin Wang, Mingjin Hu, Hengliang Zhang:
Implementation of Embedded Magnetic Encoder for Rotor Position Detection Based on Arbitrary Phase-Shift Phase-Lock Loop. IEEE Trans. Ind. Electron. 69(2): 2033-2043 (2022) - [j7]Peixin Wang, Wei Hua, Gan Zhang, Bo Wang, Ming Cheng:
Principle of Flux-Switching Permanent Magnet Machine by Magnetic Field Modulation Theory Part I: Back-Electromotive-Force Generation. IEEE Trans. Ind. Electron. 69(3): 2370-2379 (2022) - [j6]Peixin Wang, Wei Hua, Gan Zhang, Bo Wang, Ming Cheng:
Principle of Flux-Switching PM Machine by Magnetic Field Modulation Theory Part II: Electromagnetic Torque Generation. IEEE Trans. Ind. Electron. 69(3): 2437-2446 (2022) - [j5]Peixin Wang, Wei Hua, Gan Zhang, Bo Wang, Ming Cheng:
Inductance Characteristics of Flux-Switching Permanent Magnet Machine Based on General Air-Gap Filed Modulation Theory. IEEE Trans. Ind. Electron. 69(12): 12270-12280 (2022) - [j4]Peixin Wang, Wei Hua, Gan Zhang, Bo Wang, Ming Cheng:
Torque Ripple Suppression of Flux-Switching Permanent Magnet Machine Based on General Air-Gap Field Modulation Theory. IEEE Trans. Ind. Electron. 69(12): 12379-12389 (2022) - 2020
- [j3]Peixin Wang, Youming Li, Shengming Chang, Xiaoping Jin, Xiaoli Wang:
Time-of-arrival-based localization algorithm in mixed line-of-sight/non-line-of-sight environments. Int. J. Distributed Sens. Networks 16(3) (2020) - [j2]Peixin Wang, Hongfei Fu, Krishnendu Chatterjee, Yuxin Deng, Ming Xu:
Proving expected sensitivity of probabilistic programs with randomized variable-dependent termination time. Proc. ACM Program. Lang. 4(POPL): 25:1-25:30 (2020) - 2019
- [j1]Maohua Du, Peixin Wang, Junhua Wang, Zheng Cheng, Shensong Wang:
Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning. Complex. 2019: 8431784:1-8431784:21 (2019)
Conference and Workshop Papers
- 2024
- [c8]Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang:
Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales. AAAI 2024: 19992-20000 - [c7]Saurabh Mathur, Veerendra P. Gadekar, Rashika Ramola, Peixin Wang, Ramachandran Thiruvengadam, David M. Haas, Shinjini Bhatnagar, Nitya Wadhwa, Garbhini Study Group, Predrag Radivojac, Himanshu Sinha, Kristian Kersting, Sriraam Natarajan:
Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources. AIME (1) 2024: 293-302 - [c6]Dapeng Zhi, Peixin Wang, Si Liu, C.-H. Luke Ong, Min Zhang:
Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled Systems. CAV (2) 2024: 401-426 - [c5]Peixin Wang, Tasleem Kausar, Heng Li, Siyang Jiang, Yingying Rong, Yun Lu:
EEG Decoding of Auditory Spatial Attention Based on Visibility Graph and Machine Learning. CVDL 2024: 10:1-10:5 - [c4]Jiaxu Tian, Dapeng Zhi, Si Liu, Peixin Wang, Guy Katz, Min Zhang:
Taming Reachability Analysis of DNN-Controlled Systems via Abstraction-Based Training. VMCAI (2) 2024: 73-97 - 2023
- [c3]Jiaxu Tian, Dapeng Zhi, Si Liu, Peixin Wang, Cheng Chen, Min Zhang:
Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks. NeurIPS 2023 - 2022
- [c2]Shuo Wen, Weiting Huang, Qi Wu, Jinying Zheng, Peixin Wang, Zhilong Ye, Shangxuan Jiang:
Application of Association Rules in Telecommunication Network Fraud Cases. ICCSIE 2022: 1-7 - 2019
- [c1]Peixin Wang, Hongfei Fu, Amir Kafshdar Goharshady, Krishnendu Chatterjee, Xudong Qin, Wenjun Shi:
Cost analysis of nondeterministic probabilistic programs. PLDI 2019: 204-220
Informal and Other Publications
- 2024
- [i6]Dapeng Zhi, Peixin Wang, Si Liu, Luke Ong, Min Zhang:
Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled Systems. CoRR abs/2404.01769 (2024) - 2023
- [i5]Peixin Wang, Hongfei Fu, Tengshun Yang, Guanyan Li, Luke Ong:
Template-Based Static Posterior Inference for Bayesian Probabilistic Programming. CoRR abs/2307.13160 (2023) - [i4]Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang:
Robustness Verification of Deep Reinforcement Learning Based Control Systems using Reward Martingales. CoRR abs/2312.09695 (2023) - 2022
- [i3]Jiaxu Tian, Dapeng Zhi, Si Liu, Peixin Wang, Guy Katz, Min Zhang:
BBReach: Tight and Scalable Black-Box Reachability Analysis of Deep Reinforcement Learning Systems. CoRR abs/2211.11127 (2022) - 2019
- [i2]Krishnendu Chatterjee, Hongfei Fu, Amir Kafshdar Goharshady, Peixin Wang, Xudong Qin, Wenjun Shi:
Cost Analysis of Nondeterministic Probabilistic Programs. CoRR abs/1902.04659 (2019) - [i1]Peixin Wang, Hongfei Fu, Krishnendu Chatterjee, Kangli He, Ming Xu:
Proving Expected Sensitivity of Probabilistic Programs with Randomized Execution Time. CoRR abs/1902.04744 (2019)
Coauthor Index
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