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ORCIDBiao Wang 0004
Person information
- affiliation: Beijing Jiaotong University, Beijing, China
Other persons with the same name
- Biao Wang — disambiguation page
- Biao Wang 0001 — TU Berlin, Embedded Systems Architecture Group (AES), Germany
- Biao Wang 0002
![[0000-0001-9249-3049]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9249-3049")
— Jiangsu University of Science and Technology, School of Electronic and Information Engineering, Zhenjiang, China (and 1 more) - Biao Wang 0003 — Shandong University, Jinan, Shandong, China
- Biao Wang 0005 — Anhui University, Hefei, China
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2020 – today
- 2026
[j21]Zhenpeng Teng, Xiaojian Yi, Biao Wang:
Cross-sensor collaborative distillation with dynamic competitiveness balancing for fault diagnosis under imbalanced missing data. Neurocomputing 684: 133238 (2026)- [j20]Chenxiao Wang, Biao Wang, Yulong Ding, Dunhui Xiao, Ben M. Chen:
An Efficient Method of Solving the PnP Problem for Fisheye Cameras. J. Adv. Comput. Intell. Intell. Informatics 30(1): 184-193 (2026) - 2025
- [j19]Yong Qin, Yiran Wang, Zhaojun Steven Li, Biao Wang, Ao Ding, Chengcheng Wang, Yuanjing Qin, Yang Wang:
An In-Depth Tutorial on BJTU-RAO Bogie Datasets for Fault Diagnosis. IEEE Access 13: 60879-60888 (2025) - [j18]Shuchen Wang, Qizhi Xu, Shunpeng Zhu, Biao Wang:
Making transformer hear better: Adaptive feature enhancement based multi-level supervised acoustic signal fault diagnosis. Expert Syst. Appl. 264: 125736 (2025) - [j17]Ao Ding, Yong Qin, Biao Wang, Han Liu, Dawei Chen, Lin Tao, Liang Guo:
Brownian Distance Covariance-Based Few-Shot Learning Framework Considering Noisy Labels for Fault Diagnosis of Train Transmission Systems. IEEE Trans. Ind. Informatics 21(1): 136-145 (2025) - 2024
- [j16]Ao Ding, Xiaojian Yi, Yong Qin, Biao Wang:
Self-driven continual learning for class-added motor fault diagnosis based on unseen fault detector and propensity distillation. Eng. Appl. Artif. Intell. 127(Part B): 107382 (2024) - [j15]Hebin Liu, Qizhi Xu, Xiaolin Han, Biao Wang, Xiaojian Yi:
Attention on the key modes: Machinery fault diagnosis transformers through variational mode decomposition. Knowl. Based Syst. 289: 111479 (2024) - [j14]Xiangyu Ren, Yong Qin, Bin Li, Biao Wang, Xiaojian Yi, Limin Jia:
A core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditions. Reliab. Eng. Syst. Saf. 252: 110428 (2024) - [j13]Ao Ding, Yong Qin, Biao Wang, Xiaoqing Cheng, Limin Jia:
An Elastic Expandable Fault Diagnosis Method of Three-Phase Motors Using Continual Learning for Class-Added Sample Accumulations. IEEE Trans. Ind. Electron. 71(7): 7896-7905 (2024) - [j12]Xiangyu Ren, Yong Qin, Biao Wang, Xiaoqing Cheng, Limin Jia:
A Complementary Continual Learning Framework Using Incremental Samples for Remaining Useful Life Prediction of Machinery. IEEE Trans. Ind. Informatics 20(12): 14330-14340 (2024) - [j11]Xuchen Liu, Minghao Dou, Ruixin Yan, Dongyue Huang, Songqun Gao, Biao Wang, Jinqiang Cui, Qinyuan Ren, Lihua Dou, Zhi Gao, Jie Chen, Ben M. Chen:
TJ-FlyingFish: An Unmanned Morphable Aerial-Aquatic Vehicle System. Unmanned Syst. 12(2): 409-428 (2024) - [c11]Xiangdan Zhao, Lihua Dou, Yulong Ding, Bin He, Biao Wang, Zhipeng Wang, Yanmin Zhou, Shuo Jiang, Yongkang Jiang, Gang Li, Xiaoqin Liu:
AMPC-ASO Strategy for Nonlinear Systems with Uncertainty. ICCA 2024: 306-313 - [c10]Dongyue Huang, Minghao Dou, Xuchen Liu, Ruixin Yan, Songqun Gao, Zixuan Liu, Biao Wang, Lihua Dou, Ben M. Chen:
First Principle Modeling of a Morphable Unmanned Aerial-Aquatic Vehicle: Mirs-Alioth. ICCA 2024: 540-545 - 2023
- [j10]Ao Ding, Yong Qin, Biao Wang, Limin Jia, Xiaoqing Cheng:
Lightweight Multiscale Convolutional Networks With Adaptive Pruning for Intelligent Fault Diagnosis of Train Bogie Bearings in Edge Computing Scenarios. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j9]Jiahao Shen, Biao Wang, Ben M. Chen, Ruiyu Bu, Bao Jin:
Review on Wind Resistance for Quadrotor UAVs: Modeling and Controller Design. Unmanned Syst. 11(1): 5-15 (2023) - [c9]Ao Ding, Yong Qin, Biao Wang, Limin Jia:
A Class-Added Continual Learning Method for Motor Fault Diagnosis Based on Knowledge Distillation of Representation Proximity Behavior. ICPHM 2023: 224-231 - [c8]Xuchen Liu, Minghao Dou, Dongyue Huang, Songqun Gao, Ruixin Yan, Biao Wang, Jinqiang Cui, Qinyuan Ren, Lihua Dou, Zhi Gao, Jie Chen, Ben M. Chen:
TJ-FlyingFish: Design and Implementation of an Aerial-Aquatic Quadrotor with Tiltable Propulsion Units. ICRA 2023: 7324-7330 - [i2]Xuchen Liu, Minghao Dou, Dongyue Huang, Biao Wang, Qinyuan Ren, Jinqiang Cui, Lihua Dou, Ben M. Chen:
Mirs-X: Design and Implementation of an Aerial-Aquatic Quadrotor with Tiltable Propulsion Units. CoRR abs/2301.12344 (2023) - [i1]Dongyue Huang, Chenggang Wang, Minghao Dou, Xuchen Liu, Zixuan Liu, Biao Wang, Ben M. Chen:
Underwater motions analysis and control of a coupling-tiltable unmanned aerial-aquatic quadrotor. CoRR abs/2312.07290 (2023) - 2022
- [j8]Yizhou Chen, Shupeng Lai, Jinqiang Cui, Biao Wang, Ben M. Chen:
GPU-Accelerated Incremental Euclidean Distance Transform for Online Motion Planning of Mobile Robots. IEEE Robotics Autom. Lett. 7(3): 6894-6901 (2022) - 2021
- [j7]Tao Yan, Yaguo Lei, Naipeng Li, Biao Wang, Wenting Wang:
Degradation modeling and remaining useful life prediction for dependent competing failure processes. Reliab. Eng. Syst. Saf. 212: 107638 (2021) - [j6]Biao Wang, Yaguo Lei, Naipeng Li, Wenting Wang:
Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery. IEEE Trans. Ind. Electron. 68(8): 7496-7504 (2021) - [j5]Naipeng Li, Yaguo Lei, Nagi Gebraeel, Zhijian Wang, Xiao Cai, Pengcheng Xu, Biao Wang:
Multi-Sensor Data-Driven Remaining Useful Life Prediction of Semi-Observable Systems. IEEE Trans. Ind. Electron. 68(11): 11482-11491 (2021) - [c7]Yizhou Chen, Shupeng Lai, Biao Wang, Feng Lin, Ben M. Chen:
A GPU Mapping System for Real-time Robot Motion Planning. RCAR 2021: 762-768 - [c6]Chuanxiang Gao, Yu Zhai, Biao Wang, Ben M. Chen:
Synthesis and Online Re-planning Framework for Time-Constrained Behavior Tree. ROBIO 2021: 1896-1901 - 2020
- [j4]Biao Wang, Yaguo Lei, Tao Yan, Naipeng Li, Liang Guo:
Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery. Neurocomputing 379: 117-129 (2020) - [j3]Tao Yan, Yaguo Lei, Biao Wang, Tianyu Han, Xiaosheng Si, Naipeng Li:
Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions. Reliab. Eng. Syst. Saf. 202: 106994 (2020) - [j2]Biao Wang, Yaguo Lei, Naipeng Li, Ningbo Li:
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings. IEEE Trans. Reliab. 69(1): 401-412 (2020)
2010 – 2019
- 2017
- [c5]Biao Wang, Yaguo Lei, Naipeng Li, Jing Lin:
An improved fusion prognostics method for remaining useful life prediction of bearings. ICPHM 2017: 18-24 - 2015
- [j1]Fei Wang, Peidong Liu, Shiyu Zhao, Ben M. Chen, Swee King Phang, Shupeng Lai, Tao Pang, Biao Wang, Chenxiao Cai, Tong Heng Lee:
Development of an Unmanned Helicopter for Vertical Replenishment. Unmanned Syst. 3(1): 63-87 (2015) - [c4]Jinqiang Cui, Swee King Phang, Kevin Z. Y. Ang, Fei Wang, Xiangxu Dong, Yijie Ke, Shupeng Lai, Kun Li, Xiang Li, Feng Lin, Jing Lin, Peidong Liu, Tao Pang, Biao Wang, Kangli Wang, Zhaolin Yang, Ben M. Chen:
Drones for cooperative search and rescue in post-disaster situation. RAM/CIS 2015: RAM:167-174 - 2013
- [c3]Feng Lin, Kevin Z. Y. Ang, Fei Wang, Ben M. Chen, Tong Heng Lee, Beiqing Yang, Miaobo Dong, Xiangxu Dong, Jinqiang Cui, Swee King Phang, Biao Wang, Delin Luo, Shiyu Zhao, Mingfeng Yin, Kun Li, Kemao Peng, Guowei Cai:
Development of an Unconventional Unmanned Coaxial Rotorcraft: GremLion. HCI (11) 2013: 120-129 - 2012
- [c2]Biao Wang, Xiangxu Dong, Ben M. Chen, Tong Heng Lee, Swee King Phang:
Formation flight of unmanned rotorcraft based on robust and perfect tracking approach. ACC 2012: 3284-3290 - 2011
- [c1]K. Tang, Biao Wang, Wei Kang, Ben M. Chen:
Minimum time control of helicopter UAVs using computational dynamic optimization. ICCA 2011: 848-852
Coauthor Index
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