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2020 – today
- 2024
[j72]Shihao Zhong
, Chunlin Chen, Wensheng Luo, Siyuan Chen:
DDVC-YOLOv5: An Improved YOLOv5 Model for Road Defect Detection. IEEE Access 12: 134008-134019 (2024)- [j71]Xuefei Li, Shili Zhao, Chunlin Chen, Hongwu Cui, Daoliang Li, Ran Zhao:
YOLO-FD: An accurate fish disease detection method based on multi-task learning. Expert Syst. Appl. 258: 125085 (2024) - [j70]Longye Wang, Chunlin Chen, Xiaoli Zeng, Houshan Liu, Lingguo Kong, Qingping Yu, Qingsong Wang:
Novel Constructions of Cross Z-Complementary Pairs with New Lengths. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(7): 989-996 (2024) - [j69]Chao Zhang, Wentao Fan, Bo Wang, Chunlin Chen, Huaxiong Li:
Self-paced semi-supervised feature selection with application to multi-modal Alzheimer's disease classification. Inf. Fusion 107: 102345 (2024) - [j68]Jiancheng Sun, Xiaohe Li, Yongnu Jin, Liyun Dai, Xiangdong Peng, Chunlin Chen:
Task-oriented analysis and visualization of correlation patterns in multi-sensor time series. Knowl. Based Syst. 289: 111525 (2024) - [j67]Chao Zhang, Wentao Fan, Huaxiong Li, Chunlin Chen:
Multi-level graph regularized robust multi-modal feature selection for Alzheimer's disease classification. Knowl. Based Syst. 293: 111676 (2024) - [j66]Chao Zhang, Haoxing Chen, Huaxiong Li, Chunlin Chen:
Learning latent disentangled embeddings and graphs for multi-view clustering. Pattern Recognit. 156: 110839 (2024) - [j65]Guizhou Deng, Huiqiao Fu, Xinpeng Wang, Canghai Liu, Kaiqiang Tang, Chunlin Chen:
Incremental Reinforcement Learning via Performance Evaluation and Policy Perturbation. IEEE Trans. Artif. Intell. 5(5): 2253-2263 (2024) - [j64]Kaiqiang Tang, Huiqiao Fu, Guizhou Deng, Xinpeng Wang, Chunlin Chen:
Hierarchical Multicontact Motion Planning of Hexapod Robots With Incremental Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 16(4): 1327-1341 (2024) - [j63]Yikun Yang, Jiarui He, Chunlin Chen, Jingwen Wei:
Balancing Awareness Fast Charging Control for Lithium-Ion Battery Pack Using Deep Reinforcement Learning. IEEE Trans. Ind. Electron. 71(4): 3718-3727 (2024) - [j62]Donghan Xie, Zhi Wang, Chunlin Chen, Daoyi Dong:
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8557-8569 (2024) - [j61]Chao Zhang, Huaxiong Li, Caihua Chen, Xiuyi Jia, Chunlin Chen:
Low-Rank Tensor Regularized Views Recovery for Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9312-9324 (2024) - [j60]Haixu Yu, Xudong Zhao, Daoyi Dong, Chunlin Chen:
Hamiltonian Identification via Quantum Ensemble Classification. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11261-11275 (2024) - [j59]Jinmei Liu, Zhi Wang, Chunlin Chen, Daoyi Dong:
Efficient Bayesian Policy Reuse With a Scalable Observation Model in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14797-14809 (2024) - [c64]Chao Zhang, Xiuyi Jia, Zechao Li, Chunlin Chen, Huaxiong Li:
Learning Cluster-Wise Anchors for Multi-View Clustering. AAAI 2024: 16696-16704 - [c63]Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang:
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning. ICLR 2024 - [c62]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. ICLR 2024 - [c61]Chao Zhang, Deng Xu, Xiuyi Jia, Chunlin Chen, Huaxiong Li:
Continual Multi-View Clustering with Consistent Anchor Guidance. IJCAI 2024: 5434-5442 - [c60]Zhao Yang, Chao Zhang, Chunlin Chen, Huaxiong Li:
Transparent Projection Networks for Interpretable Image Recognition. IJCNN 2024: 1-8 - [i36]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. CoRR abs/2401.08552 (2024) - [i35]Jinmei Liu, Wenbin Li, Xiangyu Yue, Shilin Zhang, Chunlin Chen, Zhi Wang:
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay. CoRR abs/2404.10662 (2024) - [i34]Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian:
Protecting Your LLMs with Information Bottleneck. CoRR abs/2404.13968 (2024) - [i33]Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao:
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning. CoRR abs/2408.00309 (2024) - 2023
- [j58]Jinhao Shi, Bo Wang, Ran Yuan, Zhi Wang, Chunlin Chen, Junzo Watada:
Rolling horizon wind-thermal unit commitment optimization based on deep reinforcement learning. Appl. Intell. 53(16): 19591-19609 (2023) - [j57]Hailan Ma, Chang-Jiang Huang, Chunlin Chen, Daoyi Dong, Yuanlong Wang, Rebing Wu, Guo-Yong Xiang:
On compression rate of quantum autoencoders: Control design, numerical and experimental realization. Autom. 147: 110659 (2023) - [j56]Xiaojuan Cao, Yuwen Qiu, Zhiyong Peng, Lan Chen, Li Zhou, Anwei Lu, Chunlin Chen, Ping Liu:
Clinical application of a fixed reference line in the ultrasound quantitative diagnosis of female pelvic organ prolapse. BMC Medical Imaging 23(1): 170 (2023) - [j55]Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Sparse spatial transformers for few-shot learning. Sci. China Inf. Sci. 66(11) (2023) - [j54]Hongyu Ding, Yuanze Tang, Qing Wu, Bo Wang, Chunlin Chen, Zhi Wang:
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning. IEEE CAA J. Autom. Sinica 10(12): 2233-2247 (2023) - [j53]Wei Lv, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen:
A robust mixed error coding method based on nonconvex sparse representation. Inf. Sci. 635: 56-71 (2023) - [j52]Shouliang Hu, Hailan Ma, Daoyi Dong, Chunlin Chen:
Two-step robust control design of quantum gates via differential evolution. J. Frankl. Inst. 360(17): 13972-13993 (2023) - [j51]Shu Liu, Bo Wang, Huaxiong Li, Chunlin Chen, Zhi Wang:
Continual portfolio selection in dynamic environments via incremental reinforcement learning. Int. J. Mach. Learn. Cybern. 14(1): 269-279 (2023) - [j50]Yuanyang Zhu, Xiao Yin, Chunlin Chen:
Extracting Decision Tree From Trained Deep Reinforcement Learning in Traffic Signal Control. IEEE Trans. Comput. Soc. Syst. 10(4): 1997-2007 (2023) - [j49]Wenyuan Zhong, Huaxiong Li, Qinghua Hu, Yang Gao, Chunlin Chen:
Multi-Level Cascade Sparse Representation Learning for Small Data Classification. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2451-2464 (2023) - [j48]Zhi Wang, Chunlin Chen, Daoyi Dong:
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning. IEEE Trans. Cybern. 53(12): 7509-7520 (2023) - [j47]Jingwen Wei, Chunlin Chen, Guangzhong Dong:
Global Sensitivity Analysis for Impedance Spectrum Identification of Lithium-Ion Batteries Using Time-Domain Response. IEEE Trans. Ind. Electron. 70(4): 3825-3835 (2023) - [j46]Xinpeng Wang, Huiqiao Fu, Guizhou Deng, Canghai Liu, Kaiqiang Tang, Chunlin Chen:
Hierarchical Free Gait Motion Planning for Hexapod Robots Using Deep Reinforcement Learning. IEEE Trans. Ind. Informatics 19(11): 10901-10912 (2023) - [j45]Huaxiong Li, Chao Zhang, Xiuyi Jia, Yang Gao, Chunlin Chen:
Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-Modal Retrieval. IEEE Trans. Knowl. Data Eng. 35(2): 1185-1199 (2023) - [j44]Chao Zhang, Huaxiong Li, Yang Gao, Chunlin Chen:
Weakly-Supervised Enhanced Semantic-Aware Hashing for Cross-Modal Retrieval. IEEE Trans. Knowl. Data Eng. 35(6): 6475-6488 (2023) - [j43]Kaiyi Luo, Chao Zhang, Huaxiong Li, Xiuyi Jia, Chunlin Chen:
Adaptive Marginalized Semantic Hashing for Unpaired Cross-Modal Retrieval. IEEE Trans. Multim. 25: 9082-9095 (2023) - [j42]Hailan Ma, Daoyi Dong, Steven X. Ding, Chunlin Chen:
Curriculum-Based Deep Reinforcement Learning for Quantum Control. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8852-8865 (2023) - [j41]Zhi Wang, Chunlin Chen, Daoyi Dong:
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9742-9756 (2023) - [j40]Yongnu Jin, Jiancheng Sun, Chunlin Chen, Wei Chen, Yaohui Bai:
An Energy Efficient On-Off Keying Transmitted Reference Pulse Cluster System for UWB Communications. IEEE Trans. Veh. Technol. 72(8): 10440-10447 (2023) - [c59]Chao Zhang, Huaxiong Li, Wei Lv, Zizheng Huang, Yang Gao, Chunlin Chen:
Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering. AAAI 2023: 11174-11182 - [c58]Tao Wen, Yuanjuan Yang, Ling Zhu, Chunlin Chen:
Research on Speedup Ratio Based on Reduction and Critical. AAIA 2023: 319-325 - [c57]Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen:
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. ECAI 2023: 2475-2482 - [c56]Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen:
Model-Aware Contrastive Learning: Towards Escaping the Dilemmas. ICML 2023: 13774-13790 - [c55]Zichuan Liu, Yuanyang Zhu, Chunlin Chen:
NA2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning. ICML 2023: 22539-22558 - [c54]Chao Zhang, Jingwen Wei, Bo Wang, Zechao Li, Chunlin Chen, Huaxiong Li:
Robust Spectral Embedding Completion Based Incomplete Multi-view Clustering. ACM Multimedia 2023: 300-308 - [c53]Huiqiao Fu, Kaiqiang Tang, Yuanyang Lu, Yiming Qi, Guizhou Deng, Flood Sung, Chunlin Chen:
Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations. NeurIPS 2023 - [i32]Zichuan Liu, Yuanyang Zhu, Chunlin Chen:
NA2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning. CoRR abs/2304.13383 (2023) - [i31]Hailan Ma, Zhenhong Sun, Daoyi Dong, Chunlin Chen, Herschel Rabitz:
Attention-Based Transformer Networks for Quantum State Tomography. CoRR abs/2305.05433 (2023) - [i30]Qingpeng Zhao, Yuanyang Zhu, Zichuan Liu, Zhi Wang, Chunlin Chen:
Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2305.07182 (2023) - [i29]Hongyu Ding, Yuanze Tang, Qing Wu, Bo Wang, Chunlin Chen, Zhi Wang:
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning. CoRR abs/2307.08033 (2023) - [i28]Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen:
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. CoRR abs/2308.01207 (2023) - [i27]Wei Lv, Chao Zhang, Huaxiong Li, Xiuyi Jia, Chunlin Chen:
Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering. CoRR abs/2310.04038 (2023) - [i26]Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang:
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning. CoRR abs/2312.04819 (2023) - 2022
- [j39]Chunlin Chen, Jinzhu Lu, Mingchuan Zhou, Jiao Yi, Min Liao, Zongmei Gao:
A YOLOv3-based computer vision system for identification of tea buds and the picking point. Comput. Electron. Agric. 198: 107116 (2022) - [j38]Chao Zhang, Huaxiong Li, Chunlin Chen, Yuhua Qian, Xianzhong Zhou:
Enhanced Group Sparse Regularized Nonconvex Regression for Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2438-2452 (2022) - [j37]Chunlin Chen, Jun Yu, Qiang Ling:
Sparse attention block: Aggregating contextual information for object detection. Pattern Recognit. 124: 108418 (2022) - [j36]Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Shaping Visual Representations With Attributes for Few-Shot Recognition. IEEE Signal Process. Lett. 29: 1397-1401 (2022) - [j35]Qing Wei, Hailan Ma, Chunlin Chen, Daoyi Dong:
Deep Reinforcement Learning With Quantum-Inspired Experience Replay. IEEE Trans. Cybern. 52(9): 9326-9338 (2022) - [j34]Chao Zhang, Huaxiong Li, Yuhua Qian, Chunlin Chen, Xianzhong Zhou:
Locality-Constrained Discriminative Matrix Regression for Robust Face Identification. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1254-1268 (2022) - [j33]Zhi Wang, Chunlin Chen, Daoyi Dong:
Lifelong Incremental Reinforcement Learning With Online Bayesian Inference. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4003-4016 (2022) - [j32]Mingjiang Liu, Chengli Xiao, Chunlin Chen:
Perspective-Corrected Spatial Referring Expression Generation for Human-Robot Interaction. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7654-7666 (2022) - [c52]Shouliang Hu, Chunlin Chen, Daoyi Dong:
Deep Reinforcement Learning for Control Design of Quantum Gates. ASCC 2022: 2367-2372 - [c51]Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Multi-level Metric Learning for Few-Shot Image Recognition. ICANN (1) 2022: 243-254 - [c50]Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Multi-Scale Adaptive Task Attention Network for Few-Shot Learning. ICPR 2022: 4765-4771 - [c49]Jinmei Liu, Zhi Wang, Chunlin Chen:
Fast Probabilistic Policy Reuse via Reward Function Fitting. IJCNN 2022: 1-7 - [c48]You Qin, Zhi Wang, Chunlin Chen:
HRL2E: Hierarchical Reinforcement Learning with Low-level Ensemble. IJCNN 2022: 1-7 - [c47]Mingjiang Liu, Chunlin Chen:
Task Decoupling in Preference-based Reinforcement Learning for Personalized Human-Robot Interaction. IROS 2022: 848-855 - [i25]Donghan Xie, Zhi Wang, Chunlin Chen, Daoyi Dong:
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation. CoRR abs/2203.02896 (2022) - [i24]Jinmei Liu, Zhi Wang, Chunlin Chen, Daoyi Dong:
Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning. CoRR abs/2204.07729 (2022) - [i23]Zhi Wang, Chunlin Chen, Daoyi Dong:
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning. CoRR abs/2205.10787 (2022) - [i22]Zizheng Huang, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen:
Model-Aware Contrastive Learning: Towards Escaping Uniformity-Tolerance Dilemma in Training. CoRR abs/2207.07874 (2022) - [i21]Kaiyi Luo, Chao Zhang, Huaxiong Li, Xiuyi Jia, Chunlin Chen:
Adaptive Marginalized Semantic Hashing for Unpaired Cross-Modal Retrieval. CoRR abs/2207.11880 (2022) - [i20]Zichuan Liu, Yuanyang Zhu, Zhi Wang, Chunlin Chen:
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees. CoRR abs/2209.07225 (2022) - 2021
- [j31]Chao Zhang, Huaxiong Li, Chunlin Chen, Xianzhong Zhou:
Nonnegative representation based discriminant projection for face recognition. Int. J. Mach. Learn. Cybern. 12(3): 733-745 (2021) - [j30]Chao Zhang, Huaxiong Li, Yuhua Qian, Chunlin Chen, Yang Gao:
Pairwise Relations Oriented Discriminative Regression. IEEE Trans. Circuits Syst. Video Technol. 31(7): 2646-2660 (2021) - [c46]Chunlin Chen, Jing Wang, Liming Wu, Gewen Sun, Shaohua Chang, Junze Tong, Rongrong Ma, Zixuan Wang, Xiaolong Wang:
An automatic fiber coupling system utilizing a modified evolutionary algorithm. DASC/PiCom/CBDCom/CyberSciTech 2021: 605-610 - [c45]Xuefei Wu, Han Wu, Bo Xin, Chunlin Chen:
Precise Coordinated Localization for Swarm Robots via Multidimensional Scaling and Wireless Sensor Networks. ICNSC 2021: 1-6 - [c44]Yikun Yang, Jingwen Wei, Chunlin Chen:
Health-aware Fast-charging Control of Lithium-Ion Battery Based on Reinforcement Learning. ICNSC 2021: 1-6 - [c43]Shen Zhang, Huaxiong Li, Yaohui Li, Xianzhong Zhou, Chunlin Chen:
Reducing Differences Between Real and Realistic Samples to Improve GANs. ICNSC 2021: 1-6 - [c42]Huiqiao Fu, Kaiqiang Tang, Peng Li, Wenqi Zhang, Xinpeng Wang, Guizhou Deng, Tao Wang, Chunlin Chen:
Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots. IJCAI 2021: 2381-2388 - [c41]Yaohui Li, Huaxiong Li, Haoxing Chen, Chunlin Chen:
Local Mutual Metric Network for Few-Shot Image Classification. PRCV (1) 2021: 443-454 - [c40]Shouliang Hu, Hailan Ma, Chunlin Chen:
A Guided Differential Evolution Algorithm for Control Design of Quantum Gates. SMC 2021: 3442-3447 - [i19]Qing Wei, Hailan Ma, Chunlin Chen, Daoyi Dong:
Deep Reinforcement Learning with Quantum-inspired Experience Replay. CoRR abs/2101.02034 (2021) - [i18]Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Multi-level Metric Learning for Few-shot Image Recognition. CoRR abs/2103.11383 (2021) - [i17]Yaohui Li, Huaxiong Li, Haoxing Chen, Chunlin Chen:
Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification. CoRR abs/2103.11384 (2021) - [i16]Mingjiang Liu, Chengli Xiao, Chunlin Chen:
Perspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction. CoRR abs/2104.01558 (2021) - [i15]Yuanyang Zhu, Zhi Wang, Chunlin Chen, Daoyi Dong:
Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction. CoRR abs/2104.07282 (2021) - [i14]Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Sparse Spatial Transformers for Few-Shot Learning. CoRR abs/2109.12932 (2021) - [i13]Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Shaping Visual Representations with Attributes for Few-Shot Learning. CoRR abs/2112.06398 (2021) - 2020
- [j29]Han Zou, Chunlin Chen, Maoxun Li, Jianfei Yang, Yuxun Zhou, Lihua Xie, Costas J. Spanos:
Adversarial Learning-Enabled Automatic WiFi Indoor Radio Map Construction and Adaptation With Mobile Robot. IEEE Internet Things J. 7(8): 6946-6954 (2020) - [j28]Hao Sun, Chunlin Chen, Qiong Liu, Jiabao Zhao:
基于深度强化学习的交通信号控制方法 (Traffic Signal Control Method Based on Deep Reinforcement Learning). 计算机科学 47(2): 169-174 (2020) - [j27]Zhi Wang, Han-Xiong Li, Chunlin Chen:
Reinforcement Learning-Based Optimal Sensor Placement for Spatiotemporal Modeling. IEEE Trans. Cybern. 50(6): 2861-2871 (2020) - [j26]Daoyi Dong, Xi Xing, Hailan Ma, Chunlin Chen, Zhixin Liu, Herschel Rabitz:
Learning-Based Quantum Robust Control: Algorithm, Applications, and Experiments. IEEE Trans. Cybern. 50(8): 3581-3593 (2020) - [j25]Zhi Wang, Han-Xiong Li, Chunlin Chen:
Incremental Reinforcement Learning in Continuous Spaces via Policy Relaxation and Importance Weighting. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1870-1883 (2020) - [c39]Jingwen Wei, Chunlin Chen:
State of Charge and Health Estimation For Lithium-Ion Batteries Using Recursive Least Squares. ICARM 2020: 686-689 - [c38]Yinsen Jia, Yichen Li, Bo Xin, Chunlin Chen:
Path Planning with Autonomous Obstacle Avoidance Using Reinforcement Learning for Six-axis Arms. ICNSC 2020: 1-6 - [c37]Lifeng Liu, Bo Xin, Zhangqing Zhu, Tao Jiang, Chunlin Chen, Tao Wu:
Density Evaluation based on Convolutional Networks in Rape Images. ICNSC 2020: 1-6 - [c36]Qiong Shi, Pei Yang, Chunlin Chen:
Preference Modeling of Spatial Description in Human-Robot Interaction. ICNSC 2020: 1-7 - [c35]Zihui Wang, Zhi Wang, Chunlin Chen:
A Coordinated Multiagent Reinforcement Learning Method Using Chicken Game. ICNSC 2020: 1-6 - [c34]Zhijia Zheng, Donghan Xie, Chunlin Chen, Zhangqing Zhu:
Multi-resolution Cascaded Network with Depth-similar Residual Module for Real-time Semantic Segmentation on RGB-D Images. ICNSC 2020: 1-6 - [c33]Donghan Xie, Zhi Wang, Chunlin Chen, Daoyi Dong:
IEDQN: Information Exchange DQN with a Centralized Coordinator for Traffic Signal Control. IJCNN 2020: 1-8 - [c32]Hailan Ma, Chunlin Chen:
Several developments in learning control of quantum systems. SMC 2020: 4165-4172 - [i12]Hailan Ma, Chang-Jiang Huang, Chunlin Chen, Daoyi Dong, Yuanlong Wang, Rebing Wu, Guo-Yong Xiang:
On compression rate of quantum autoencoders: Control design, numerical and experimental realization. CoRR abs/2005.11149 (2020) - [i11]Zhi Wang, Chunlin Chen, Daoyi Dong:
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference. CoRR abs/2007.14196 (2020) - [i10]Zhi Wang, Chunlin Chen, Daoyi Dong:
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments. CoRR abs/2010.04605 (2020) - [i9]Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Multi-scale Adaptive Task Attention Network for Few-Shot Learning. CoRR abs/2011.14479 (2020) - [i8]Hailan Ma, Daoyi Dong, Steven X. Ding, Chunlin Chen:
Curriculum-based Deep Reinforcement Learning for Quantum Control. CoRR abs/2012.15427 (2020)
2010 – 2019
- 2019
- [j24]Jiancheng Sun, Yong Yang, Yanqing Liu, Chunlin Chen, Wenyuan Rao, Yaohui Bai:
Univariate time series classification using information geometry. Pattern Recognit. 95: 24-35 (2019) - [j23]Chunlin Chen, Qiang Ling:
Adaptive Convolution for Object Detection. IEEE Trans. Multim. 21(12): 3205-3217 (2019) - [c31]Yang Xiang, Daoyi Dong, Chunlin Chen:
Ultrafast-pulse generation using inhomogeneous laser fields and performance analysis. ICNSC 2019: 335-339 - 2018
- [j22]Chunlin Chen, Robert C. Elliott, Witold A. Krzymien, Jordan Melzer:
Modeling of Cellular Networks Using Stationary and Nonstationary Point Processes. IEEE Access 6: 47144-47162 (2018) - [j21]Xiaodong Yang, Likun Xiao, Chunlin Chen, Caifen Wang:
A Strong Designated Verifier Proxy Re-Signature Scheme for IoT Environments. Symmetry 10(11): 580 (2018) - [j20]Zhipeng Ren, Daoyi Dong, Huaxiong Li, Chunlin Chen:
Self-Paced Prioritized Curriculum Learning With Coverage Penalty in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2216-2226 (2018) - [j19]Chunlin Chen, Robert C. Elliott, Witold A. Krzymien:
Empirical Distribution of Nearest-Transmitter Distance in Wireless Networks Modeled by Matérn Hard Core Point Processes. IEEE Trans. Veh. Technol. 67(2): 1740-1749 (2018) - [c30]Xiaodong Yang, Likun Xiao, Yutong Li, Shudong Li, Jinli Wang, Chunlin Chen:
Identity-Based Blind Proxy Re-Signature Scheme for Data Security. DSC 2018: 28-32 - [c29]Chunlin Chen, Juncheng Li, Maoxun Li, Lihua Xie:
Model Predictive Trajectory Tracking Control of Automated Guided Vehicle in Complex Environments. ICCA 2018: 405-410 - [c28]Tao Wu, Yonghao Zhao, Lifeng Liu, Huaxiong Li, Weihong Xu, Chunlin Chen:
A novel hierarchical regression approach for human facial age estimation based on deep forest. ICNSC 2018: 1-6 - [c27]Bo Xin, Kaiqiang Tang, Lan Wang, Chunlin Chen:
Knowledge Transfer between Multi-granularity Models for Reinforcement Learning. SMC 2018: 2881-2886 - [c26]Liang Guo, Weijian Li, Han Hu, Chunlin Chen, Junfeng Zhao, Zhenghai Cong:
Backward Mining Technology Research on Continuous Attacks in Wide Time Domain. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1766-1770 - [i7]Chunlin Chen, Daoyi Dong, Han-Xiong Li, Jian Chu, Tzyh Jong Tarn:
Fidelity-based Probabilistic Q-learning for Control of Quantum Systems. CoRR abs/1806.03145 (2018) - 2017
- [j18]Luowei Zhou, Pei Yang, Chunlin Chen, Yang Gao:
Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer. IEEE Trans. Cybern. 47(5): 1238-1250 (2017) - [j17]Chengzhi Wu, Bo Qi, Chunlin Chen, Daoyi Dong:
Robust Learning Control Design for Quantum Unitary Transformations. IEEE Trans. Cybern. 47(12): 4405-4417 (2017) - [j16]Chunlin Chen, Daoyi Dong, Bo Qi, Ian R. Petersen, Herschel Rabitz:
Quantum Ensemble Classification: A Sampling-Based Learning Control Approach. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1345-1359 (2017) - [c25]Yuenan Hou, Lifeng Liu, Qing Wei, Xudong Xu, Chunlin Chen:
A novel DDPG method with prioritized experience replay. SMC 2017: 316-321 - [c24]Jun Hong, Kaiqiang Tang, Chunlin Chen:
Obstacle avoidance of hexapod robots using fuzzy Q-learning. SSCI 2017: 1-6 - [i6]Daoyi Dong, Xi Xing, Hailan Ma, Chunlin Chen, Zhixin Liu, Herschel Rabitz:
Differential Evolution for Quantum Robust Control: Algorithm, Applications and Experiments. CoRR abs/1702.03946 (2017) - 2016
- [j15]Kexin Guo, Zhirong Qiu, Cunxiao Miao, Abdul Hanif Bin Zaini, Chunlin Chen, Wei Meng, Lihua Xie:
Ultra-Wideband-Based Localization for Quadcopter Navigation. Unmanned Syst. 4(1): 23-34 (2016) - [c23]Songyang Han, Xianzhong Zhou, Chunlin Chen:
Path planning for multi-robot systems using PSO and Critical Path Schedule Method. ICNSC 2016: 1-6 - 2015
- [j14]Xuejun Liu, Xinxin Shi, Chunlin Chen, Li Zhang:
Improving RNA-Seq expression estimation by modeling isoform- and exon-specific read sequencing rate. BMC Bioinform. 16: 332:1-332:13 (2015) - [j13]Daoyi Dong, Mohamed A. Mabrok, Ian R. Petersen, Bo Qi, Chunlin Chen, Herschel Rabitz:
Sampling-Based Learning Control for Quantum Systems With Uncertainties. IEEE Trans. Control. Syst. Technol. 23(6): 2155-2166 (2015) - [j12]Rui Zhou, Xiaolong Chen, Huaming Chen, Fenglong Yan, Chunlin Chen, Qi Yu, Qingguo Zhou, Kuan-Ching Li:
RCSoS: An IEC 61508 Compatible Server Model for Reliable Communication. J. Signal Process. Syst. 80(3): 323-337 (2015) - [c22]Yingying Sun, Hailan Ma, Chengzhi Wu, Chunlin Chen, Daoyi Dong:
Ensemble control of open quantum systems using differential evolution. ASCC 2015: 1-6 - [c21]Fenglong Yan, Chunlin Chen, Xuhui Yang, Qingguo Zhou, Changyan Di, Binling Jin, Rui Zhou:
The Design and Implementation of an Automatic Burdening System Based on Proview. ISADS 2015: 139-144 - [c20]Chengzhi Wu, Chunlin Chen, Bo Qi, Daoyi Dong:
Robust Quantum Operation for Two-Level Systems Using Sampling-Based Learning Control. SMC 2015: 2043-2048 - [c19]Dachuan Tian, Zhangqing Zhu, Chunlin Chen:
A Selective Harmonic Optimization Method for STATCOM in Steady State Based on the Sliding DFT. SMC 2015: 2049-2054 - [c18]Hailan Ma, Chunlin Chen, Daoyi Dong:
Differential Evolution with Equally-Mixed Strategies for Robust Control of Open Quantum Systems. SMC 2015: 2055-2060 - [i5]Daoyi Dong, Mohamed A. Mabrok, Ian R. Petersen, Bo Qi, Chunlin Chen, Herschel Rabitz:
Sampling-based Learning Control for Quantum Systems with Uncertainties. CoRR abs/1507.07190 (2015) - [i4]Luowei Zhou, Pei Yang, Chunlin Chen, Yang Gao:
Multi-agent Reinforcement Learning with Sparse Interactions by Negotiation and Knowledge Transfer. CoRR abs/1508.05328 (2015) - 2014
- [j11]Yuanlong Wang, Chunlin Chen, Daoyi Dong:
Further results on sampled-data design for robust control of a single qubit. Int. J. Control 87(10): 2056-2064 (2014) - [j10]Zhi-qiang Song, Huaxiong Li, Chunlin Chen, Xianzhong Zhou, Feng Xu:
Coordinated standoff tracking of moving targets using differential geometry. J. Zhejiang Univ. Sci. C 15(4): 284-292 (2014) - [j9]Chunlin Chen, Daoyi Dong, Han-Xiong Li, Jian Chu, Tzyh Jong Tarn:
Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems. IEEE Trans. Neural Networks Learn. Syst. 25(5): 920-933 (2014) - [c17]Mohamed A. Mabrok, Daoyi Dong, Chunlin Chen, Ian R. Petersen:
Robust entanglement control between two atoms in a cavity using sampling-based learning control. CDC 2014: 5802-5807 - [c16]Wei-Shou Chan, Chunlin Chen, Yeong-Hwa Chang, Chia-Wen Chang, Hung-Wei Lin:
Formation control for uncertain multiple Euler-Lagrange systems with dynamic surface control and interval type-2 neuro-fuzzy networks. ICCA 2014: 231-236 - [c15]Chunlin Chen, Daoyi Dong, Bo Qi, Ian R. Petersen, Herschel Rabitz:
Sampling-based learning control for quantum discrimination and ensemble classification. IJCNN 2014: 880-885 - 2013
- [c14]Chunlin Chen, Robert C. Elliott, Witold A. Krzymien:
Downlink coverage analysis of n-tier heterogeneous cellular networks based on clustered stochastic geometry. ACSSC 2013: 1577-1581 - [c13]Chunlin Chen, Ruixing Long, Bo Qi, Daoyi Dong:
Sampling-based learning control of quantum systems with bounded inputs and uncertainties via path planning. AuCC 2013: 121-126 - [c12]Daoyi Dong, Chunlin Chen, Ruixing Long, Bo Qi, Ian R. Petersen:
Sampling-based learning control for quantum systems with hamiltonian uncertainties. CDC 2013: 1924-1929 - [c11]Yuanlong Wang, Chunlin Chen, Daoyi Dong:
Notes on Sampled-Data Design for Robust Control of a Single Qubit. ICONS 2013: 353-358 - [i3]Daoyi Dong, Chunlin Chen, Ruixing Long, Bo Qi, Ian R. Petersen:
Sampling-based Learning Control for Quantum Systems with Hamiltonian Uncertainties. CoRR abs/1312.4370 (2013) - [i2]Chunlin Chen, Daoyi Dong, Bo Qi, Ian R. Petersen, Herschel Rabitz:
Quantum Ensemble Classification: A Sampling-based Learning Control Approach. CoRR abs/1312.6945 (2013) - 2012
- [j8]Chunlin Chen, Daoyi Dong, James Lam, Jian Chu, Tzyh Jong Tarn:
Control Design of Uncertain Quantum Systems With Fuzzy Estimators. IEEE Trans. Fuzzy Syst. 20(5): 820-831 (2012) - [j7]Shuo Chen, Chunlin Chen:
Probabilistic Fuzzy System for Uncertain Localization and Map Building of Mobile Robots. IEEE Trans. Instrum. Meas. 61(6): 1546-1560 (2012) - [j6]Yeong-Hwa Chang, Chia-Wen Chang, Chunlin Chen, Chin-Wang Tao:
Fuzzy Sliding-Mode Formation Control for Multirobot Systems: Design and Implementation. IEEE Trans. Syst. Man Cybern. Part B 42(2): 444-457 (2012) - [c10]Chunlin Chen, Daoyi Dong:
Quantum parallelization of hierarchical Q-learning for global navigation of mobile robots. ICNSC 2012: 163-168 - [c9]Hai Ling, Zhangqing Zhu, Chunlin Chen:
Dynamics of genetic regulatory networks with delays. ICNSC 2012: 310-315 - 2011
- [j5]Chunlin Chen, Daoyi Dong, Han-Xiong Li, Tzyh Jong Tarn:
Hybrid MDP based integrated hierarchical Q-learning. Sci. China Inf. Sci. 54(11): 2279-2294 (2011) - 2010
- [c8]Shuai Liu, Chunlin Chen, Lihua Xie, Yeong-Hwa Chang:
Formation control of multi-robot systems. ICARCV 2010: 1057-1062 - [c7]Daoyi Dong, Chunlin Chen:
Quantum-inspired reinforcement learning for decision-making of Markovian state transition. ISKE 2010: 21-26
2000 – 2009
- 2009
- [c6]Chunlin Chen, Gerasimos G. Rigatos, Daoyi Dong, James Lam:
Partial feedback control of quantum systems using probabilistic fuzzy estimator. CDC 2009: 3805-3810 - [c5]Xiangyang Jia, Shi Ying, Luokai Hu, Chunlin Chen:
Scheduling Active Services in Clustered JBI Environment. CloudCom 2009: 413-422 - 2008
- [j4]Chunlin Chen, Han-Xiong Li, Daoyi Dong:
Hybrid Control for Robot Navigation - A Hierarchical Q-Learning Algorithm. IEEE Robotics Autom. Mag. 15(2): 37-47 (2008) - [j3]Daoyi Dong, Chunlin Chen, Tzyh Jong Tarn, Alexander N. Pechen, Herschel Rabitz:
Incoherent Control of Quantum Systems With Wavefunction-Controllable Subspaces via Quantum Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Part B 38(4): 957-962 (2008) - [j2]Daoyi Dong, Chunlin Chen, Han-Xiong Li, Tzyh Jong Tarn:
Quantum Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Part B 38(5): 1207-1220 (2008) - [c4]Chunlin Chen, Pei Yang, Xianzhong Zhou, Daoyi Dong:
A Quantum-inspired Q-learning Algorithm for Indoor Robot Navigation. ICNSC 2008: 1599-1603 - [p1]Chunlin Chen, Daoyi Dong:
Quantum Intelligent Mobile System. Quantum Inspired Intelligent Systems 2008: 77-102 - [i1]Daoyi Dong, Chunlin Chen, Han-Xiong Li, Tzyh Jong Tarn:
Quantum reinforcement learning. CoRR abs/0810.3828 (2008) - 2006
- [j1]Daoyi Dong, Chunlin Chen, Chenbin Zhang, Zonghai Chen:
Quantum robot: structure, algorithms and applications. Robotica 24(4): 513-521 (2006) - [c3]Chunlin Chen, Daoyi Dong, Zonghai Chen:
Grey Reinforcement Learning for Incomplete Information Processing. TAMC 2006: 399-407 - 2005
- [c2]Daoyi Dong, Chunlin Chen, Chenbin Zhang, Zonghai Chen:
An Autonomous Mobile Robot Based on Quantum Algorithm. CIS (1) 2005: 393-398 - [c1]Daoyi Dong, Chunlin Chen, Zonghai Chen:
Quantum Reinforcement Learning. ICNC (2) 2005: 686-689
Coauthor Index
[j62] [j60] [j59] [j57] [j52] [j48] [j42] [j41] [i31] [j35] [j33] [c52] [i25] [i24] [i23] [i19] [i15] [j26] [c33] [i12] [i11] [i10] [i8] [c31] [j20] [i7] [j17] [j16] [i6] [j13] [c22] [c20] [c18] [i5] [j11] [j9] [c17] [c15] [c13] [c12] [c11] [i3] [i2] [j8] [c10] [j5] [c7] [c6] [j4] [j3] [j2] [c4] [p1] [i1] [j1] [c3] [c2] [c1]
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