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Kuan-Lin Chen
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2020 – today
- 2024
- [j17]Ching-Ting Tu, Kuan-Lin Chen:
Style-exprGAN: Diverse Smile Style Image Generation Via Attention-Guided Adversarial Networks. IEEE Trans. Affect. Comput. 15(3): 1190-1201 (2024) - [j16]Pei-Hua Lin, Ping-Huan Kuo, Kuan-Lin Chen:
Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator-Optimized Stacking Ensemble Approaches. IEEE J. Biomed. Health Informatics 28(5): 2745-2758 (2024) - [i11]Kuan-Lin Chen, Bhaskar D. Rao:
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology. CoRR abs/2408.16605 (2024) - [i10]Kuan-Lin Chen, Tzu-Ti Wei, Li-Tzu Yeh, Elaine Kao, Yu-Chee Tseng, Jen-Jee Chen:
Resolving Positional Ambiguity in Dialogues by Vision-Language Models for Robot Navigation. CoRR abs/2410.12802 (2024) - 2023
- [j15]Ping-Huan Kuo, Wei-Cyuan Yang, Po-Wei Hsu, Kuan-Lin Chen:
Intelligent proximal-policy-optimization-based decision-making system for humanoid robots. Adv. Eng. Informatics 56: 102009 (2023) - [j14]Ping-Huan Kuo, Jun Hu, Kuan-Lin Chen, Wei-Hsin Chang, Xin-Yu Chen, Chiou-Jye Huang:
Sequential sensor fusion-based W-DDPG gait controller of bipedal robots for adaptive slope walking. Adv. Eng. Informatics 57: 102067 (2023) - [j13]Chia-Wei Jan, Yu-Jhih Chiu, Kuan-Lin Chen, Ting-Chun Yao, Ping-Huan Kuo:
Optical Based Gradient-Weighted Class Activation Mapping and Transfer Learning Integrated Pneumonia Prediction Model. Comput. Syst. Sci. Eng. 47(3): 2989-3010 (2023) - [j12]Ping-Huan Kuo, Kuan-Lin Chen:
Two-stage fuzzy object grasping controller for a humanoid robot with proximal policy optimization. Eng. Appl. Artif. Intell. 125: 106694 (2023) - [j11]Kuan-Lin Chen, Astrid Lassen, Chen Li, Charles Møller:
Exploring the value of IoT data as an enabler of the transformation towards servitization: an action design research approach. Eur. J. Inf. Syst. 32(4): 735-761 (2023) - [j10]Ching-Ting Tu, Sung-Hsien Hsieh, Kuan-Lin Chen, Jenn-Jier James Lien:
Personalized smile synthesis using attention-guided global parametric model and local non-parametric model. Multim. Tools Appl. 82(14): 21585-21609 (2023) - [j9]Ching-Ting Tu, Sung-Hsien Hsieh, Kuan-Lin Chen, Jenn-Jier James Lien:
Correction to: Personalized smile synthesis using attention-guided global parametric model and local non-parametric model. Multim. Tools Appl. 82(14): 21611 (2023) - [j8]Kuan-Lin Chen, Wei-Yu Chen, Ren-Hung Hwang:
Optimizing Resource Allocation With High-Reliability Constraint for Multicasting Automotive Messages in 5G NR C-V2X Networks. IEEE Trans. Veh. Technol. 72(4): 4792-4804 (2023) - [c17]Kuan-Lin Chen, Tian-Yi Chen, Li-Tzu Yeh, Sheng-Jing Yang, Shashank Mishra, Jia-Ming Liang, Jen-Jee Chen:
Development and Implementation of An Intelligent Tire Monitoring System. APWCS 2023: 1-2 - [c16]Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
A DNN Based Normalized Time-Frequency Weighted Criterion for Robust Wideband DoA Estimation. ICASSP 2023: 1-5 - [c15]Kuan-Lin Chen, Daniel D. E. Wong, Ke Tan, Buye Xu, Anurag Kumar, Vamsi Krishna Ithapu:
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-Channel Speech Enhancement. ICASSP 2023: 1-5 - [c14]Tzu-Han Zoe Cheng, Kuan-Lin Chen, Juliane Schubert, Ya-Ping Chen, Tim Brown, John Iversen:
Similar Hierarchical Representation of Speech and Other Complex Sounds In the Brain and Deep Residual Networks: An MEG Study. INTERSPEECH 2023: 5182-5186 - [i9]Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation. CoRR abs/2302.10147 (2023) - 2022
- [c13]Kuan-Lin Chen, Rebecca Schulman:
Exploring Material Design Space with a Deep-Learning Guided Genetic Algorithm. DNA 2022: 4:1-4:14 - [c12]Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao:
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions. NeurIPS 2022 - [i8]Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao:
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions. CoRR abs/2210.07236 (2022) - [i7]Kuan-Lin Chen, Daniel D. E. Wong, Ke Tan, Buye Xu, Anurag Kumar, Vamsi Krishna Ithapu:
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancement. CoRR abs/2211.08624 (2022) - [i6]Kuan-Lin Chen, Wei-Yu Chen, Ren-Hung Hwang:
Optimizing Resource Allocation with High-Reliability Constraint for Multicasting Automotive Messages in 5G NR C-V2X Networks. CoRR abs/2212.03280 (2022) - 2021
- [j7]Der-Hau Lee, Kuan-Lin Chen, Kuan-Han Liou, Chang-Lun Liu, Jinn-Liang Liu:
Deep learning and control algorithms of direct perception for autonomous driving. Appl. Intell. 51(1): 237-247 (2021) - [j6]Kuan-Lin Chen, Meng-Han Tsai:
Conversation-Based Information Delivery Method for Facility Management. Sensors 21(14): 4771 (2021) - [c11]Alice Sokolova, Dhiman Sengupta, Kuan-Lin Chen, Rajesh K. Gupta, Baris Aksanli, Fredric J. Harris, Harinath Garudadri:
Multirate Audiometric Filter Bank for Hearing Aid Devices. ACSCC 2021: 1436-1442 - [c10]Kuan-Lin Chen, Ching Hua Lee, Harinath Garudadri, Bhaskar D. Rao:
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees. NeurIPS 2021: 3413-3424 - [c9]Xiaochun Zhang, Chen Li, Kuan-Lin Chen, Dimitrios Chrysostomou, Hongji Yang:
Stock Prediction with Stacked-LSTM Neural Networks. QRS Companion 2021: 1119-1125 - [i5]Kuan-Lin Chen, Ching Hua Lee, Harinath Garudadri, Bhaskar D. Rao:
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees. CoRR abs/2111.05496 (2021) - [i4]Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
A Generalized Proportionate-Type Normalized Subband Adaptive Filter. CoRR abs/2111.08952 (2021) - 2020
- [c8]Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
Jointly Leveraging Decorrelation and Sparsity for Improved Feedback Cancellation in Hearing Aids. EUSIPCO 2020: 121-125 - [c7]Kuan-Lin Chen, Chih-Ming Chen, Wei-Jiun Hong:
A Collaborative Reading Annotation System with Formative Assessment and Feedback Mechanisms to Promote Digital Reading Performance. IIAI-AAI 2020: 189-192
2010 – 2019
- 2019
- [c6]Kuan-Lin Chen, Ching Hua Lee, Bhaskar D. Rao, Harinath Garudadri:
A Generalized Proportionate-Type Normalized Subband Adaptive Filter. ACSSC 2019: 749-753 - [c5]Ching Hua Lee, Kuan-Lin Chen, Fredric J. Harris, Bhaskar D. Rao, Harinath Garudadri:
On Mitigating Acoustic Feedback in Hearing Aids with Frequency Warping by All-Pass Networks. INTERSPEECH 2019: 4245-4249 - [i3]Der-Hau Lee, Kuan-Lin Chen, Kuan-Han Liou, Chang-Lun Liu, Jinn-Liang Liu:
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving. CoRR abs/1910.12031 (2019) - [i2]Yi-Wei Huang, Chen-Lung Lu, Kuan-Lin Chen, Po-Sheng Ser, Jui-Te Huang, Yu-Chia Shen, Pin-Wei Chen, Po-Kai Chang, Sheng-Cheng Lee, Hsueh-Cheng Wang:
Duckiefloat: a Collision-Tolerant Resource-Constrained Blimp for Long-Term Autonomy in Subterranean Environments. CoRR abs/1910.14275 (2019) - [i1]Yi-Wei Huang, Tzu-Kuan Chuang, Ni-Ching Lin, Yu-Chieh Hsiao, Pin-Wei Chen, Ching-Tang Hung, Shih-Hsing Liu, Hsiao-Sheng Chen, Ya-Hsiu Hsieh, Yen-Hsiang Huang, Yu-Xuan Chen, Kuan-Lin Chen, Ya-Jou Lan, Chao-Chun Hsu, Chun-Yi Lin, Jhih-Ying Li, Jui-Te Huang, Yu-Jen Menn, Sin-Kiat Lim, Kim-Boon Lua, Chia-Hung Dylan Tsai, Chi-Fang Chen, Hsueh-Cheng Wang:
Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles - From Duckietown to RobotX. CoRR abs/1910.14540 (2019) - 2018
- [j5]Dei-Wei Chou, Kuan-Lin Chen, Shih-Feng Wang:
Pentacene bottom-contact thin film transistors with solution-processed BZT gate dielectrics. Microelectron. Reliab. 91: 323-329 (2018) - 2017
- [c4]Yu-Chun Huang, Kuan-Lin Chen:
Brain-Computer Interfaces (BCI) Based 3D Computer-Aided Design (CAD): To Improve the Efficiency of 3D Modeling for New Users. HCI (15) 2017: 333-344 - [c3]Kuan-Lin Chen, Fuchun Joseph Lin:
Ensuring IoT/M2M System Security Under the Limitation of Constrained Gateways. SpaCCS Workshops 2017: 302-311 - 2014
- [c2]Kuan-Lin Chen, Jyh-Yeong Chang:
Applying generalized weighted mean aggregation to impulsive noise removal of images. ICMLC 2014: 538-543 - 2013
- [j4]Cheng-Yu Yeh, Kuan-Lin Chen, Shaw-Hwa Hwang, Long-Jhe Yan:
Study on the consistency analysis between the prosody and the spectrum for Mandarin speech. IET Signal Process. 7(2): 158-165 (2013) - [j3]Cheng-Yu Yeh, Kuan-Lin Chen, Shaw-Hwa Hwang:
Consistency Analysis of the Duration Parameter Within a Syllable for Mandarin Speech. Inf. Technol. Control. 42(2): 170-177 (2013) - 2012
- [j2]James C. Chu, Shangyao Yan, Kuan-Lin Chen:
Optimization of earth recycling and dump truck dispatching. Comput. Ind. Eng. 62(1): 108-118 (2012) - [j1]Min-Yuan Cheng, Andreas F. von Roy, Kuan-Lin Chen:
Evolutionary risk preference inference model using fuzzy support vector machine for road slope collapse prediction. Expert Syst. Appl. 39(2): 1737-1746 (2012) - 2010
- [c1]Kuan-Lin Chen, Shaw-Hwa Hwang:
The Symmetric NAT Traversal Method for Session Initial Protocol(SIP). International Conference on Internet Computing 2010: 49-52
Coauthor Index
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last updated on 2024-11-25 23:40 CET by the dblp team
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