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ORCIDRosa H. M. Chan
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2020 – today
- 2024
[j28]Subing Huang
, Xiaoyu Guo, Jodie J. Xie, Kelvin Y. S. Lau, Richard Liu, Arthur D. P. Mak, Vincent C. K. Cheung, Rosa H. M. Chan:
Rectified Latent Variable Model-Based EMG Factorization of Inhibitory Muscle Synergy Components Related to Aging, Expertise and Force-Tempo Variations. Sensors 24(9): 2820 (2024)- [j27]Fan Feng, Lu Hou, Qi She, Rosa H. M. Chan, James T. Kwok:
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8999-9013 (2024) - 2023
- [j26]Fan Feng, Qi Liu, Zhanglin Peng, Ruimao Zhang, Rosa H. M. Chan:
Community Channel-Net: Efficient channel-wise interactions via community graph topology. Pattern Recognit. 141: 109536 (2023) - [c40]Chuanlin Lan, Rosa H. M. Chan:
Comparing the Graphical Features of Simple Artificial Neural Networks and Cortical Development. EMBC 2023: 1-4 - [c39]Yuvraj Patra, Qi Liu, Rosa H. M. Chan, Daniel Thomson, Daniel H. K. Chow, Ben Fuller, Roy T. H. Cheung:
Tracking Bilateral Lower Limb Kinematics of Distance Runners on Treadmill Using a Single Inertial Measurement Unit. EMBC 2023: 1-4 - [c38]Yijia Guan, Rosa H. M. Chan:
Revisiting COVID-19 Diagnosis From Cough Sound: A Hybrid CNN-LSTM Model Utilizing Offline Time Stretching Augmentation. ICBBE 2023: 230-237 - [c37]Ziyuan Yin, Marc T. L. Wong, Chuanlin Lan, Sunny Hei Wong, Rosa H. M. Chan:
Non-Invasive Monitoring of Swallowing Function Using Multi-Channel Auscultation. SENSORS 2023: 1-4 - [i7]Chuanlin Lan, Ziyuan Yin, Arindam Basu, Rosa H. M. Chan:
Tracking Fast by Learning Slow: An Event-based Speed Adaptive Hand Tracker Leveraging Knowledge in RGB Domain. CoRR abs/2302.14430 (2023) - 2022
- [j25]Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Henrique Galelli Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro:
The CORSMAL Benchmark for the Prediction of the Properties of Containers. IEEE Access 10: 41388-41402 (2022) - [j24]Chuanlin Lan, Fan Feng, Qi Liu, Qi She, Qihan Yang, Xinyue Hao, Ivan Mashkin, Ka Shun Kei, Dong Qiang, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan:
Towards lifelong object recognition: A dataset and benchmark. Pattern Recognit. 130: 108819 (2022) - [c36]Yixiao Huang, Xiaoli Wu, Rosa H. M. Chan:
Stratification and Survival Prediction for Amyotrophic Lateral Sclerosis Patients. BHI 2022: 1-5 - [c35]Xiaoli Wu, Rosa H. M. Chan:
Does Meta-Learning Improve EEG Motor Imagery Classification? EMBC 2022: 4048-4051 - [i6]Qihan Yang, Fan Feng, Rosa H. M. Chan:
A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning. CoRR abs/2208.02660 (2022) - 2021
- [j23]Jeremiah B. Palmerston, Rosa H. M. Chan:
Latent Variable Models Reconstruct Diversity of Neuronal Response to Drifting Gratings in Murine Visual Cortex. IEEE Access 9: 75741-75750 (2021) - [j22]Sizhong Wang, Peter P. K. Chan, Ben M. F. Lam, Zoe Y. S. Chan, Janet H. W. Zhang, Chao Wang, Wing-Kai Lam, Kevin Ki Wai Ho, Rosa H. M. Chan, Roy T. H. Cheung:
Sensor-Based Gait Retraining Lowers Knee Adduction Moment and Improves Symptoms in Patients with Knee Osteoarthritis: A Randomized Controlled Trial. Sensors 21(16): 5596 (2021) - [j21]Nabeel Siddiqui, Rosa H. M. Chan:
Hand Gesture Recognition Using Multiple Acoustic Measurements at Wrist. IEEE Trans. Hum. Mach. Syst. 51(1): 56-62 (2021) - [j20]Qi She, Xiaoli Wu, Beth Jelfs, Adam S. Charles, Rosa H. M. Chan:
An Efficient and Flexible Spike Train Model Via Empirical Bayes. IEEE Trans. Signal Process. 69: 3236-3251 (2021) - [c34]Tsung-Yu Chen, Hsiang-Jui Lin, Chi-Sheng Shih, Kuan-Ting Kuo, Qi Liu, Rosa H. M. Chan:
Prediction of Human Intention in Vehicles, Pedestrians and Bicyclists Interactions. ITSC 2021: 64-69 - [c33]Qihan Yang, Fan Feng, Rosa H. M. Chan:
A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning. CSSL 2021: 75-90 - [i5]Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Henrique Galelli Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro:
Multi-modal estimation of the properties of containers and their content: survey and evaluation. CoRR abs/2107.12719 (2021) - 2020
- [j19]Fan Feng, Rosa H. M. Chan, Xuesong Shi, Yimin Zhang, Qi She:
Challenges in Task Incremental Learning for Assistive Robotics. IEEE Access 8: 3434-3441 (2020) - [j18]Heechul Bae, Eoin Brophy, Rosa H. M. Chan, Baoquan Chen, Fan Feng, Gabriele Graffieti, Vidit Goel, Xinyue Hao, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Chuanlin Lan, Qi Liu, Vincenzo Lomonaco, Liang Ma, Davide Maltoni, German Ignacio Parisi, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Qi She, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qihan Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. IEEE Robotics Autom. Mag. 27(2): 11-16 (2020) - [c32]Xiaoyu Guo, Janet Zhang, Roy T. H. Cheung, Rosa H. M. Chan, Chao-Ying Chen:
Right Temporal Oscillations of Infants in Relation to Contingent Learning. EMBC 2020: 3273-3276 - [c31]Zishen Li, Yun Wah Lam, Qi Liu, Alison Y. K. Lau, Ho Yu Au-Yeung, Rosa H. M. Chan:
Machine Learning-Driven Drug Discovery: Prediction of Structure-Cytotoxicity Correlation Leads to Identification of Potential Anti-Leukemia Compounds. EMBC 2020: 5464-5467 - [c30]Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan:
VA2Mass: Towards the Fluid Filling Mass Estimation via Integration of Vision and Audio Learning. ICPR Workshops (8) 2020: 451-463 - [c29]Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She:
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. ICRA 2020: 3139-3145 - [c28]Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan:
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning. ICRA 2020: 4767-4773 - [d1]Xiaoli Wu, Wenhui Zhang, Zhibo Fu, Roy T. H. Cheung, Rosa H. M. Chan:
Ear-EEG Recording for Brain Computer Interface of Motor Task. IEEE DataPort, 2020
- [i4]Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German Ignacio Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. CoRR abs/2004.14774 (2020)
2010 – 2019
- 2019
- [i3]Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She:
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. CoRR abs/1911.05603 (2019) - [i2]Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan:
OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition. CoRR abs/1911.06487 (2019) - 2018
- [j17]Yufan Wang, Yuliang Zhao, Rosa H. M. Chan, Wen Jung Li:
Volleyball Skill Assessment Using a Single Wearable Micro Inertial Measurement Unit at Wrist. IEEE Access 6: 13758-13765 (2018) - [j16]Yufan Wang, Meng Chen, Xinyu Wang, Rosa H. M. Chan, Wen Jung Li:
IoT for Next-Generation Racket Sports Training. IEEE Internet Things J. 5(6): 4558-4566 (2018) - [c27]Qi She, Yuan Gao, Kai Xu, Rosa H. M. Chan:
Reduced-Rank Linear Dynamical Systems. AAAI 2018: 4050-4057 - [c26]Jeremiah B. Palmerston, Qi She, Rosa H. M. Chan:
Weighted Network Density Predicts Range of Latent Variable Model Accuracy. EMBC 2018: 2414-2417 - [c25]Qi She, Rosa H. M. Chan:
Stochastic Dynamical Systems Based Latent Structure Discovery in High-Dimensional Time Series. ICASSP 2018: 886-890 - 2017
- [j15]Song Xu, Yang Li, Tingwen Huang, Rosa H. M. Chan:
A Sparse Multiwavelet-Based Generalized Laguerre-Volterra Model for Identifying Time-Varying Neural Dynamics from Spiking Activities. Entropy 19(8): 425 (2017) - [c24]Yuqi Li, Beth Jelfs, Rosa H. M. Chan:
Entropy of surface EMG reflects object weight in grasp-and-lift task. EMBC 2017: 2530-2533 - [c23]Nabeel Siddiqui, Rosa H. M. Chan:
A wearable hand gesture recognition device based on acoustic measurements at wrist. EMBC 2017: 4443-4446 - 2016
- [j14]Yuan Gao, Gaonan Zhang, Beth Jelfs, Robert Carmer, Prahatha Venkatraman, Mohammad Ghadami, Skye A. Brown, Chi-Pui Pang, Yuk Fai Leung, Rosa H. M. Chan, Mingzhi Zhang:
Computational classification of different wild-type zebrafish strains based on their variation in light-induced locomotor response. Comput. Biol. Medicine 69: 1-9 (2016) - [j13]Yang Li, Qing Liu, Si-Rui Tan, Rosa H. M. Chan:
High-resolution time-frequency analysis of EEG signals using multiscale radial basis functions. Neurocomputing 195: 96-103 (2016) - [c22]Xiaolong Zhai, Beth Jelfs, Rosa H. M. Chan, Chung Tin:
Short latency hand movement classification based on surface EMG spectrogram with PCA. EMBC 2016: 327-330 - [c21]Song Xu, Yang Li, Xudong Wang, Rosa H. M. Chan:
Identification of time-varying neural dynamics from spiking activities using Chebyshev polynomials. EMBC 2016: 1591-1594 - [c20]Qi She, Winnie K. Y. So, Rosa H. M. Chan:
Effective connectivity matrix for neural ensembles. EMBC 2016: 1612-1615 - [c19]Winnie K. Y. So, Lingling Yang, Beth Jelfs, Qi She, Savio W. H. Wong, Joseph N. Mak, Rosa H. M. Chan:
Cross-frequency information transfer from EEG to EMG in grasping. EMBC 2016: 4531-4534 - [c18]Beth Jelfs, Ling Li, Chung Tin, Rosa H. M. Chan:
Fuzzy entropy based nonnegative matrix factorization for muscle synergy extraction. ICASSP 2016: 739-743 - 2015
- [j12]Min Wei, Tommy W. S. Chow, Rosa H. M. Chan:
Clustering Heterogeneous Data with k-Means by Mutual Information-Based Unsupervised Feature Transformation. Entropy 17(3): 1535-1548 (2015) - [j11]Min Wei, Tommy W. S. Chow, Rosa H. M. Chan:
Heterogeneous feature subset selection using mutual information-based feature transformation. Neurocomputing 168: 706-718 (2015) - [c17]Beth Jelfs, Shengli Zhou, Bernard K. Y. Wong, Chung Tin, Rosa H. M. Chan:
Recruitment of small synergistic movement makes a good pianist. EMBC 2015: 242-245 - [c16]Qi She, Winnie K. Y. So, Rosa H. M. Chan:
Reconstruction of neural network topology using spike train data: Small-world features of hippocampal network. EMBC 2015: 2506-2509 - [c15]Min Wei, Rosa H. M. Chan:
Dimensionality reduction of hybrid data using mutual information-based unsupervised feature transformation: With application on intrusion detection. INDIN 2015: 1108-1111 - 2014
- [j10]Yao Xin, Will X. Y. Li, Ray C. C. Cheung, Rosa H. M. Chan, Hong Yan, Dong Song, Theodore W. Berger:
An FPGA based scalable architecture of a stochastic state point process filter (SSPPF) to track the nonlinear dynamics underlying neural spiking. Microelectron. J. 45(6): 690-701 (2014) - [j9]Ming-Bo Zhao, Rosa H. M. Chan, Tommy W. S. Chow, Peng Tang:
Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer's Disease. IEEE Signal Process. Lett. 21(10): 1192-1196 (2014) - [j8]Yuan Gao, Rosa H. M. Chan, Tommy W. S. Chow, Liyun Zhang, Sylvia Bonilla, Chi-Pui Pang, Mingzhi Zhang, Yuk Fai Leung:
A High-Throughput Zebrafish ScreeningMethod for Visual Mutants by Light-Induced Locomotor Response. IEEE ACM Trans. Comput. Biol. Bioinform. 11(4): 693-701 (2014) - [c14]Will X. Y. Li, Yao Xin, Rosa H. M. Chan, Dong Song, Theodore W. Berger, Ray C. C. Cheung:
Laguerre-volterra model and architecture for MIMO system identification and output prediction. EMBC 2014: 4539-4542 - 2013
- [j7]Ming-Bo Zhao, Rosa H. M. Chan, Peng Tang, Tommy W. S. Chow, Savio W. H. Wong:
Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia. IEEE Signal Process. Lett. 20(5): 431-434 (2013) - [j6]Will X. Y. Li, Ray C. C. Cheung, Rosa H. M. Chan, Dong Song, Theodore W. Berger:
Real-Time Prediction of Neuronal Population Spiking Activity Using FPGA. IEEE Trans. Biomed. Circuits Syst. 7(4): 489-498 (2013) - [j5]Bo Yu, Rosa H. M. Chan, Terrence S. T. Mak, Yihe Sun, Chi-Sang Poon:
On-Chip Systolic Networks for Real-Time Tracking of Pairwise Correlations Between Neurons in a Large-Scale Network. IEEE Trans. Biomed. Eng. 60(1): 198-202 (2013) - [c13]Joseph N. Mak, Rosa H. M. Chan, Savio W. H. Wong:
Spectral modulation of frontal EEG activities during motor skill acquisition: task familiarity monitoring using single-channel EEG. EMBC 2013: 5638-5641 - [c12]Joseph N. Mak, Rosa H. M. Chan, Savio W. H. Wong:
Evaluation of mental workload in visual-motor task: Spectral analysis of single-channel frontal EEG. IECON 2013: 8426-8430 - [c11]Will X. Y. Li, Ray C. C. Cheung, Rosa H. M. Chan, Dong Song, Theodore W. Berger:
A reconfigurable architecture for real-time prediction of neural activity. ISCAS 2013: 1869-1872 - [i1]Yuan Gao, Guanrong Chen, Rosa H. M. Chan:
Naming Game on Networks: Let Everyone be Both Speaker and Hearer. CoRR abs/1310.4169 (2013) - 2012
- [c10]Dong Song, Ioan Opris, Rosa H. M. Chan, Vasilis Z. Marmarelis, Robert E. Hampson, Sam A. Deadwyler, Theodore W. Berger:
Functional connectivity between Layer 2/3 and Layer 5 neurons in prefrontal cortex of nonhuman primates during a delayed match-to-sample task. EMBC 2012: 2555-2558 - [c9]Will X. Y. Li, Rosa H. M. Chan, Dong Song, Theodore W. Berger, Ray C. C. Cheung:
A dual mode FPGA design for the hippocampal prosthesis. EMBC 2012: 4579-4582 - 2011
- [j4]Will X. Y. Li, Rosa H. M. Chan, Wei Zhang, Ray C. C. Cheung, Dong Song, Theodore W. Berger:
High-Performance and Scalable System Architecture for the Real-Time Estimation of Generalized Laguerre-Volterra MIMO Model From Neural Population Spiking Activity. IEEE J. Emerg. Sel. Topics Circuits Syst. 1(4): 489-501 (2011) - [c8]Rosa H. M. Chan, Dong Song, Anushka V. Goonawardena, Sarah Bough, John Sesay, Robert E. Hampson, Sam A. Deadwyler, Theodore W. Berger:
Tracking the changes of hippocampal population nonlinear dynamics in rats learning a memory-dependent task. EMBC 2011: 3326-3329 - [c7]Dong Song, Rosa H. M. Chan, Vasilis Z. Marmarelis, Robert E. Hampson, Sam A. Deadwyler, Theodore W. Berger:
Estimation and statistical validation of event-invariant nonlinear dynamic models of hippocampal CA3-CA1 population activities. EMBC 2011: 3330-3333 - [c6]Robert E. Hampson, Vasilis Z. Marmarelis, Dae C. Shin, Greg A. Gerhardt, Dong Song, Rosa H. M. Chan, A. J. Sweatt, John J. Granacki, Theodore W. Berger, Sam A. Deadwyler:
Restorative encoding memory integrative neural device: "REMIND". EMBC 2011: 3338-3341 - [c5]Will X. Y. Li, Rosa H. M. Chan, Wei Zhang, Ray C. C. Cheung, Dong Song, Theodore W. Berger:
A hardware-based computational platform for Generalized Laguerre-Volterra MIMO model for neural activities. EMBC 2011: 7282-7285 - [c4]Will X. Y. Li, Ray C. C. Cheung, Wei Zhang, Rosa H. M. Chan, Dong Song, Theodore W. Berger:
FPGA Architecture of Generalized Laguerre-Volterra MIMO Model for Neural Population Spiking Activities. FCCM 2011: 254 - [c3]Will X. Y. Li, Rosa H. M. Chan, Wei Zhang, C. W. Yu, Ray C. C. Cheung, Dong Song, Theodore W. Berger:
FPGA Architecture of Generalized Laguerre-Volterra MIMO Model for Neural Population Activities. FPL 2011: 44-49 - 2010
- [j3]Theodore W. Berger, Dong Song, Rosa H. M. Chan, Vasilis Z. Marmarelis:
The Neurobiological Basis of Cognition: Identification by Multi-Input, Multioutput Nonlinear Dynamic Modeling. Proc. IEEE 98(3): 356-374 (2010)
2000 – 2009
- 2009
- [j2]Dong Song, Rosa H. M. Chan, Vasilis Z. Marmarelis, Robert E. Hampson, Sam A. Deadwyler, Theodore W. Berger:
Nonlinear modeling of neural population dynamics for hippocampal prostheses. Neural Networks 22(9): 1340-1351 (2009) - 2007
- [j1]Dong Song, Rosa H. M. Chan, Vasilis Z. Marmarelis, Robert E. Hampson, Sam A. Deadwyler, Theodore W. Berger:
Nonlinear Dynamic Modeling of Spike Train Transformations for Hippocampal-Cortical Prostheses. IEEE Trans. Biomed. Eng. 54(6): 1053-1066 (2007) - 2006
- [c2]Dong Song, Rosa H. M. Chan, Vasilis Z. Marmarelis, Robert E. Hampson, Sam A. Deadwyler, Theodore W. Berger:
Physiologically Plausible Stochastic Nonlinear Kernel Models of Spike Train to Spike Train Transformation. EMBC 2006: 6129-6132 - 2004
- [c1]Guangyong Li, Ning Xi, Heping Chen, Wen J. Li, Carmen Kar Man Fung, Rosa H. M. Chan, Mingjun Zhang, Tzyh Jong Tarn:
Nano-assembly of DNA based electronic devices using atomic force microscopy. IROS 2004: 583-588
Coauthor Index
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