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Publication search results
found 46 matches
- 2024
- Cody Innis, Pingen Chen:
Location-Routing Problem for Electric Delivery Vehicles with Mobile Charging Trailers. ACC 2024: 3007-3012 - Zifei Su, Pingen Chen:
A Driver-Centric Long-Trip Schedule Optimizer for Battery Electric Vehicles. ACC 2024: 3001-3006 - Pin-Geng Zeng, Cheng-Hung Dixson Lin, Pei-Hsuan Chen:
Combined SCF and SCAN Algorithms for Soft-Output Polar Decoding. ICCE 2024: 1-4 - Amir Farakhor, Di Wu, Pingen Chen, Junmin Wang, Yebin Wang, Huazhen Fang:
Economic Optimal Power Management of Second-Life Battery Energy Storage Systems. CoRR abs/2408.16197 (2024) - 2023
- Ping-En Lu, Chia-Han Yeh, Cheng-Shang Chang:
Explainable, Stable, and Scalable Network Embedding Algorithms for Unsupervised Learning of Graph Representations. IEEE Trans. Comput. Soc. Syst. 10(5): 2421-2438 (2023) - Magdy Abdullah Eissa, Pingen Chen:
An Efficient Hybrid Deep Learning Approach for Accurate Remaining EV Range Prediction. AIM 2023: 430-435 - Yun Wu, Pingen Chen:
Energy Management of Electric Truck Fleet Considering Cargo Load, Platooning, and Charging. ACC 2023: 1747-1752 - 2022
- Sachin Joshi, Pingen Chen:
Design and Optimization of a Parallel Micro-Hybrid Vehicle with Lean-Burn Gasoline Engine and Passive SCR System. ACC 2022: 3146-3151 - Zifei Su, Pingen Chen:
Optimal Platoon Merging and Catch-up Approach for Connected Electric Vehicles. ACC 2022: 1964-1969 - 2021
- Yongzhe Wang, Kun Chen, Ying Shi, Xu Zhang, Shi Chen, Ping'en Li, Donghua Lu:
Source Model and Simulated Strong Ground Motion of the 2021 Yangbi, China Shallow Earthquake Constrained by InSAR Observations. Remote. Sens. 13(20): 4138 (2021) - Maxavier Lamantia, Zifei Su, Pingen Chen:
Remaining Driving Range Estimation Framework for Electric Vehicles in Platooning Applications. ACC 2021: 424-429 - Devin Schafer, Maxavier Lamantia, Pingen Chen:
Modeling and Spacing Control for an Electric Vehicle with One-Pedal-Driving Feature. ACC 2021: 166-171 - Zifei Su, Shuainan Yang, Pingen Chen:
Adaptive Control and Parameter Estimation for Electric Vehicles with One-Pedal-Driving Feature in Platooning Applications. CCTA 2021: 2-7 - Shuainan Yang, Zifei Su, Pingen Chen:
Robust Inter-Vehicle Spacing Control for Battery Electric Vehicles with One-Pedal-Driving Feature. CCTA 2021: 259-264 - 2020
- Ping-En Lu, Cheng-Shang Chang:
Using Graph Convolutional Networks to Compute Approximations of Dominant Eigenvectors. SIGMETRICS Perform. Evaluation Rev. 48(2): 3-5 (2020) - Ping-En Lu, Yu-Hsien Peng, Cheng-Shang Chang, Duan-Shin Lee:
Percolation Threshold for Competitive Influence in Random Networks. IEEE Trans. Comput. Soc. Syst. 7(4): 991-1003 (2020) - Yi-Cheng Chen, Ping-En Lu, Cheng-Shang Chang, Tzu-Hsuan Liu:
A Time-Dependent SIR Model for COVID-19 With Undetectable Infected Persons. IEEE Trans. Netw. Sci. Eng. 7(4): 3279-3294 (2020) - Dakota B. Strange, Pingen Chen:
A Cylinder Deactivation Control Framework for Gasoline Engines without Valve Deactivation. ACC 2020: 276-281 - Kuo Yang, Pingen Chen:
Ammonia Distribution Control for a Two-cell SCR System in a New Configuration. ACC 2020: 282-287 - Yi-Cheng Chen, Ping-En Lu, Cheng-Shang Chang:
A Time-dependent SIR model for COVID-19. CoRR abs/2003.00122 (2020) - Ping-En Lu, Cheng-Shang Chang:
Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation. CoRR abs/2009.10367 (2020) - 2019
- Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee, Ching-Chu Huang:
Centrality Analysis in $d$ -Regular Directed Acyclic Random Networks and Its Applications in Top- $k$ Recommendations. IEEE Trans. Comput. Soc. Syst. 6(5): 968-980 (2019) - Cheng-Hsun Chang, Cheng-Shang Chang, Chia-Tai Chang, Duan-Shin Lee, Ping-En Lu:
Exponentially Twisted Sampling for Centrality Analysis and Community Detection in Attributed Networks. IEEE Trans. Netw. Sci. Eng. 6(4): 684-697 (2019) - Qinghua Lin, Pingen Chen, Michael Haas, Pardis Khayyer:
A Tailpipe NOxSensor Decoupling Algorithm for Integrated SCR and AMOX Systems. ACC 2019: 1605-1610 - Dakota Strange, Pingen Chen, Vitaly Y. Prikhodko, James E. Parks:
Optimization of Combustion Mode Duration for Lean Gasoline Engine with NOxStorage-Capable Passive Selective Catalytic Reduction System. ACC 2019: 1599-1604 - Jen-Hung Wang, Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee:
A Reinforcement Learning Approach for the Multichannel Rendezvous Problem. GLOBECOM Workshops 2019: 1-5 - Yu-Hsien Peng, Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee:
Percolation Threshold for Competitive Influence in Random Networks. CoRR abs/1904.05754 (2019) - Cheng-Shang Chang, Ching-Chu Huang, Chia-Tai Chang, Duan-Shin Lee, Ping-En Lu:
Generalized Modularity Embedding: a General Framework for Network Embedding. CoRR abs/1904.11027 (2019) - Jen-Hung Wang, Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee:
A Reinforcement Learning Approach for the Multichannel Rendezvous Problem. CoRR abs/1907.01919 (2019) - 2018
- Pingen Chen, Qinghua Lin, Vitaly Y. Prikhodko, James E. Parks:
Non-Uniform Cylinder-to-Cylinder Combustion for Ammonia Generation in a New Passive SCR System. ACC 2018: 19-24
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