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2020 – today
- 2023
[j148]Syed Qasim Abbas
, Lianhua Chi, Yi-Ping Phoebe Chen:
DeepMNF: Deep Multimodal Neuroimaging Framework for Diagnosing Autism Spectrum Disorder. Artif. Intell. Medicine 136: 102475 (2023)- [j147]Wei Lan, Yi Dong, Hongyu Zhang, Chunling Li, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen:
Benchmarking of computational methods for predicting circRNA-disease associations. Briefings Bioinform. 24(1) (2023) - [j146]Min Luo, Zhen He, Hui Cui, Yi-Ping Phoebe Chen, Phillip Ward:
Class activation attention transfer neural networks for MCI conversion prediction. Comput. Biol. Medicine 156: 106700 (2023) - [j145]Raid Halawani, Michael Buchert, Yi-Ping Phoebe Chen:
Deep learning exploration of single-cell and spatially resolved cancer transcriptomics to unravel tumour heterogeneity. Comput. Biol. Medicine 164: 107274 (2023) - [j144]Peng Cheng, Youjia Chen, Ming Ding, Zhuo Chen, Sige Liu, Yi-Ping Phoebe Chen:
Deep Reinforcement Learning for Online Resource Allocation in IoT Networks: Technology, Development, and Future Challenges. IEEE Commun. Mag. 61(6): 111-117 (2023) - [j143]Timothy R. McIntosh, A. S. M. Kayes, Yi-Ping Phoebe Chen, Alex Ng, Paul A. Watters:
Applying staged event-driven access control to combat ransomware. Comput. Secur. 128: 103160 (2023) - [j142]Syed Qasim Abbas, Lianhua Chi, Yi-Ping Phoebe Chen:
Transformed domain convolutional neural network for Alzheimer's disease diagnosis using structural MRI. Pattern Recognit. 133: 109031 (2023) - [j141]Lu Yu, Wei Xiang, Juan Fang, Yi-Ping Phoebe Chen, Lianhua Chi:
eX-ViT: A Novel explainable vision transformer for weakly supervised semantic segmentation. Pattern Recognit. 142: 109666 (2023) - [j140]Ming-Hao Tung, Yi-Ping Phoebe Chen, Chen-Yu Liu, Chung-Shou Liao:
A Fast and More Accurate Seed-and-Extension Density-Based Clustering Algorithm. IEEE Trans. Knowl. Data Eng. 35(6): 5458-5471 (2023) - [c93]Zikai Song, Run Luo, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang:
Compact Transformer Tracker with Correlative Masked Modeling. AAAI 2023: 2321-2329 - [c92]Geetanjli Sharma, M. A. P. Chamikara, Mohan Baruwal Chhetri, Yi-Ping Phoebe Chen:
SoK: Systematizing Attack Studies in Federated Learning - From Sparseness to Completeness. AsiaCCS 2023: 579-592 - [e14]Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha A. Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen:
MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13833, Springer 2023, ISBN 978-3-031-27076-5 [contents] - [e13]Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha A. Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen:
MultiMedia Modeling - 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13834, Springer 2023, ISBN 978-3-031-27817-4 [contents] - [i8]Zikai Song, Run Luo, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang:
Compact Transformer Tracker with Correlative Masked Modeling. CoRR abs/2301.10938 (2023) - [i7]Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang:
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection. CoRR abs/2307.08390 (2023) - 2022
- [j139]Binhua Yang, Tongyan Li, Haidi Xie, Yulin Liao, Yi-Ping Phoebe Chen:
Classification of Diabetic Retinopathy Severity Based on GCA Attention Mechanism. IEEE Access 10: 2729-2739 (2022) - [j138]Wei Lan, Yi Dong, Qingfeng Chen, Ruiqing Zheng, Jin Liu, Yi Pan, Yi-Ping Phoebe Chen:
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. Briefings Bioinform. 23(1) (2022) - [j137]Timothy R. McIntosh, A. S. M. Kayes, Yi-Ping Phoebe Chen, Alex Ng, Paul A. Watters:
Ransomware Mitigation in the Modern Era: A Comprehensive Review, Research Challenges, and Future Directions. ACM Comput. Surv. 54(9): 197:1-197:36 (2022) - [j136]Omar A. M. Salem, Feng Liu, Yi-Ping Phoebe Chen, Ahmed Hamed, Xi Chen:
Fuzzy joint mutual information feature selection based on ideal vector. Expert Syst. Appl. 193: 116453 (2022) - [j135]Linh Tran, Alessio Bonti, Lianhua Chi, Mohamed Abdelrazek, Yi-Ping Phoebe Chen:
Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network. Expert Syst. Appl. 203: 117393 (2022) - [j134]Abukari Mohammed Yakubu, Yi-Ping Phoebe Chen:
A blockchain-based application for genomic access and variant discovery using smart contracts and homomorphic encryption. Future Gener. Comput. Syst. 137: 234-247 (2022) - [j133]Sadaf Naz, Khoa Tran Phan, Yi-Ping Phoebe Chen:
A comprehensive review of federated learning for COVID-19 detection. Int. J. Intell. Syst. 37(3): 2371-2392 (2022) - [j132]Wei Lan, Ximin Wu, Qingfeng Chen, Wei Peng, Jianxin Wang, Yi-Ping Phoebe Chen:
GANLDA: Graph attention network for lncRNA-disease associations prediction. Neurocomputing 469: 384-393 (2022) - [j131]Omar A. M. Salem, Feng Liu, Yi-Ping Phoebe Chen, Ahmed Hamed, Xi Chen:
Effective fuzzy joint mutual information feature selection based on uncertainty region for classification problem. Knowl. Based Syst. 257: 109885 (2022) - [j130]Lu Yu, Wei Xiang, Juan Fang, Yi-Ping Phoebe Chen, Ruifeng Zhu:
A novel explainable neural network for Alzheimer's disease diagnosis. Pattern Recognit. 131: 108876 (2022) - [j129]Hsiao-Fang Sunny Sun, Yi-Ping Phoebe Chen:
Editorial. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 1-2 (2022) - [j128]Wei Lan, Dehuan Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen:
LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1715-1723 (2022) - [j127]Wei Lan, Yi Dong, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen, Shirui Pan:
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3530-3538 (2022) - [j126]Bohong Yang, Wu Ran, Lin Wang, Hong Lu, Yi-Ping Phoebe Chen:
Multi-Classes and Motion Properties for Concurrent Visual SLAM in Dynamic Environments. IEEE Trans. Multim. 24: 3947-3960 (2022) - [c91]Jianggang Zhu, Zheng Wang, Jingjing Chen, Yi-Ping Phoebe Chen, Yu-Gang Jiang:
Balanced Contrastive Learning for Long-Tailed Visual Recognition. CVPR 2022: 6898-6907 - [c90]Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang:
Transformer Tracking with Cyclic Shifting Window Attention. CVPR 2022: 8781-8790 - [c89]Syed Qasim Abbas, S. Jannat Shirazi, Yi-Ping Phoebe Chen:
Aggregated Bidirectional Local Binary Pattern for Robust Perceptual Image Hashing. ISM 2022: 50-57 - [c88]Omar A. M. Salem, Haowen Liu, Feng Liu, Yi-Ping Phoebe Chen, Xi Chen:
Fuzzy Information Measures Feature Selection Using Descriptive Statistics Data. KSEM (3) 2022: 77-90 - [e12]Shuqiang Jiang, Kiyoharu Aizawa, Phoebe Chen, Keiji Yanai:
Proceedings of the 4th ACM International Conference on Multimedia in Asia, MMAsia 2022, Tokyo, Japan, December 13-16, 2022. ACM 2022, ISBN 978-1-4503-9478-9 [contents] - [i6]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen:
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR abs/2202.05525 (2022) - [i5]Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang:
Transformer Tracking with Cyclic Shifting Window Attention. CoRR abs/2205.03806 (2022) - [i4]Lu Yu, Wei Xiang, Juan Fang, Yi-Ping Phoebe Chen, Lianhua Chi:
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2207.05358 (2022) - [i3]Jianggang Zhu, Zheng Wang, Jingjing Chen, Yi-Ping Phoebe Chen, Yu-Gang Jiang:
Balanced Contrastive Learning for Long-Tailed Visual Recognition. CoRR abs/2207.09052 (2022) - [i2]Omri Raccah, Phoebe Chen, Theodore L. Willke, David Poeppel, Vy A. Vo:
Memory in humans and deep language models: Linking hypotheses for model augmentation. CoRR abs/2210.01869 (2022) - 2021
- [j125]Marzieh R. Moghadam, Yi-Ping Phoebe Chen:
Tracking leukocytes in intravital time lapse images using 3D cell association learning network. Artif. Intell. Medicine 118: 102129 (2021) - [j124]Chun Yen Lee, Yi-Ping Phoebe Chen:
Prediction of drug adverse events using deep learning in pharmaceutical discovery. Briefings Bioinform. 22(2): 1884-1901 (2021) - [j123]Runbin Tang, Zuguo Yu, Yuanlin Ma, Yaoqun Wu, Yi-Ping Phoebe Chen, Limsoon Wong, Jinyan Li:
Genetic source completeness of HIV-1 circulating recombinant forms (CRFs) predicted by multi-label learning. Bioinform. 37(6): 750-758 (2021) - [j122]M. A. P. Chamikara, Yi-Ping Phoebe Chen:
MedFused: A framework to discover the relationships between drug chemical functional group impacts and side effects. Comput. Biol. Medicine 133: 104361 (2021) - [j121]Timothy R. McIntosh, A. S. M. Kayes, Yi-Ping Phoebe Chen, Alex Ng, Paul A. Watters:
Dynamic user-centric access control for detection of ransomware attacks. Comput. Secur. 111: 102461 (2021) - [j120]Timothy R. McIntosh, Paul A. Watters, A. S. M. Kayes, Alex Ng, Yi-Ping Phoebe Chen:
Enforcing situation-aware access control to build malware-resilient file systems. Future Gener. Comput. Syst. 115: 568-582 (2021) - [j119]Omar A. M. Salem, Feng Liu, Yi-Ping Phoebe Chen, Xi Chen:
Feature selection and threshold method based on fuzzy joint mutual information. Int. J. Approx. Reason. 132: 107-126 (2021) - [j118]Chun Yen Lee, Yi-Ping Phoebe Chen:
Descriptive prediction of drug side-effects using a hybrid deep learning model. Int. J. Intell. Syst. 36(6): 2491-2510 (2021) - [j117]Rokaya Rehouma, Michael Buchert, Yi-Ping Phoebe Chen:
Machine learning for medical imaging-based COVID-19 detection and diagnosis. Int. J. Intell. Syst. 36(9): 5085-5115 (2021) - [j116]Shirin Akther Khanam, Fei Liu, Yi-Ping Phoebe Chen:
Joint knowledge-powered topic level attention for a convolutional text summarization model. Knowl. Based Syst. 228: 107273 (2021) - [j115]Syed Qasim Abbas, Fawad Ahmed, Yi-Ping Phoebe Chen:
Perceptual image hashing using transform domain noise resistant local binary pattern. Multim. Tools Appl. 80(7): 9849-9875 (2021) - [j114]Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen:
Reply to: LncADeep performance on full-length transcripts. Nat. Mach. Intell. 3(3): 196 (2021) - [j113]Saba Rabab, Edmond Breen, Alem Gebremedhin, Fan Shi, Pieter Badenhorst, Yi-Ping Phoebe Chen, Hans D. Daetwyler:
A New Method for Extracting Individual Plant Bio-Characteristics from High-Resolution Digital Images. Remote. Sens. 13(6): 1212 (2021) - [j112]Tongyan Li, Yingxiang Li, Yi-Ping Phoebe Chen:
Novel Multidimensional Collaborative Filtering Algorithm Based on Improved Item Rating Prediction. Sci. Program. 2021: 2592604:1-2592604:14 (2021) - [j111]Qingfeng Chen, Dehuan Lai, Wei Lan, Ximin Wu, Baoshan Chen, Jin Liu, Yi-Ping Phoebe Chen, Jianxin Wang:
ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1106-1112 (2021) - [j110]Louxin Zhang, Shaoliang Peng, Yi-Ping Phoebe Chen, David Sankoff, Guoliang Li, Hong-Yu Zhang:
Guest Editorial for the 17th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2123-2124 (2021) - [j109]Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen:
FexRNA: Exploratory Data Analysis and Feature Selection of Non-Coding RNA. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2795-2801 (2021) - [j108]Marzieh R. Moghadam, Yi-Ping Phoebe Chen:
Tracking Neutrophil Migration in Zebrafish Model Using Multi-Channel Feature Learning. IEEE J. Biomed. Health Informatics 25(4): 1197-1205 (2021) - [j107]Chun Yen Lee, Yi-Ping Phoebe Chen:
New Insights Into Drug Repurposing for COVID-19 Using Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4770-4780 (2021) - [c87]Fu Zhou, Fei Luo, Kafui Efio-Akolly, Ronald Bbosa, Wen Cai Huang, Jia Ni Zou, Yi-Ping Phoebe Chen, Feng Liu:
HAUNet-3D: a Novel Hierarchical Attention 3D UNet for Lung Nodule Segmentation. BIBM 2021: 1213-1220 - [c86]Bohong Yang, Zijian Wang, Wu Ran, Hong Lu, Yi-Ping Phoebe Chen:
Multi-Directional Convolution Networks with Spatial-Temporal Feature Pyramid Module for Action Recognition. ICASSP 2021: 2440-2444 - [c85]Shirin Akther Khanam, Fei Liu, Yi-Ping Phoebe Chen:
Concept-based Topic Attention for a Convolutional Sequence Document Summarization Model. IJCNN 2021: 1-8 - [c84]Zikai Song, Zhiwen Wan, Wei Yuan, Ying Tang, Junqing Yu, Yi-Ping Phoebe Chen:
Distractor-Aware Tracker with a Domain-Special Optimized Benchmark for Soccer Player Tracking. ICMR 2021: 276-284 - [c83]Tingting Wang, Na Feng, Junqing Yu, Yunfeng He, Yangliu Hu, Yi-Ping Phoebe Chen:
Shot Boundary Detection Through Multi-stage Deep Convolution Neural Network. MMM (1) 2021: 456-468 - [c82]Audra Lane, Ruth Mekonnen, Catherine Jang, Phoebe Chen, Colleen M. Lewis:
Motivating Literature and Evaluation of the Teaching Practices Game: Preparing Teaching Assistants to Promote Inclusivity. SIGCSE 2021: 816-822 - [i1]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa T. Phan, Yi-Ping Phoebe Chen:
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. CoRR abs/2108.09896 (2021) - 2020
- [j106]Abukari Mohammed Yakubu, Yi-Ping Phoebe Chen:
Ensuring privacy and security of genomic data and functionalities. Briefings Bioinform. 21(2): 511-526 (2020) - [j105]Wei Lan, Mingrui Zhu, Qingfeng Chen, Baoshan Chen, Jin Liu, Min Li, Yi-Ping Phoebe Chen:
CircR2Cancer: a manually curated database of associations between circRNAs and cancers. Database J. Biol. Databases Curation 2020 (2020) - [j104]Tharam S. Dillon, Yi-Ping Phoebe Chen, Elizabeth Chang, Mukesh K. Mohania, Vish Ramakonar:
Conjoint Knowledge Discovery Utilizing Data and Content with Applications in Business, Bio-medicine, Transport Logistics and Electrical Power Systems. Comput. Syst. Sci. Eng. 35(5): 321-334 (2020) - [j103]Omar A. M. Salem, Feng Liu, Yi-Ping Phoebe Chen, Xi Chen:
Ensemble Fuzzy Feature Selection Based on Relevancy, Redundancy, and Dependency Criteria. Entropy 22(7): 757 (2020) - [j102]Fei Liu, Shirin Akther Khanam, Yi-Ping Phoebe Chen:
A Human-Machine Language Dictionary. Int. J. Comput. Intell. Syst. 13(1): 904-913 (2020) - [j101]Na Feng, Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Yizhu Zhao, Yunfeng He, Tao Guan:
SSET: a dataset for shot segmentation, event detection, player tracking in soccer videos. Multim. Tools Appl. 79(39-40): 28971-28992 (2020) - [j100]Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen:
Author Correction: Evaluation of deep learning in non-coding RNA classification. Nat. Mach. Intell. 2(4): 236 (2020) - [j99]Amir Anees, Yi-Ping Phoebe Chen:
Designing secure substitution boxes based on permutation of symmetric group. Neural Comput. Appl. 32(11): 7045-7056 (2020) - [j98]Qingfeng Chen, Zhao Zhe, Wei Lan, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yi-Ping Phoebe Chen:
Erratum to: Identifying miRNA-disease association based on integrating miRNA topological similarity and functional similarity. Quant. Biol. 8(3): 277 (2020) - [j97]Chandramani Chaudhary, Poonam Goyal, Dhanashree Nellayi Prasad, Yi-Ping Phoebe Chen:
Enhancing the Quality of Image Tagging Using a Visio-Textual Knowledge Base. IEEE Trans. Multim. 22(4): 897-911 (2020) - [j96]Chandramani Chaudhary, Poonam Goyal, Navneet Goyal, Yi-Ping Phoebe Chen:
Image Retrieval for Complex Queries Using Knowledge Embedding. ACM Trans. Multim. Comput. Commun. Appl. 16(1): 13:1-13:23 (2020) - [c81]Joel Scanlan, Andrew Eddy, Teresa Thomas, Tele Tan, Yi-Ping Phoebe Chen, Paul A. Watters, Michael Fieldhouse, Lawrence Fung, Sonya Girdler:
Neurodiverse Knowledge, Skills and Ability Assessment for Cyber Security. ACIS 2020: 99 - [c80]Zikai Song, Junqing Yu, Hengyou Cai, Yangliu Hu, Yi-Ping Phoebe Chen:
Fine-Grain Level Sports Video Search Engine. MMM (1) 2020: 519-531 - [e11]Cathal Gurrin, Björn Þór Jónsson, Noriko Kando, Klaus Schöffmann, Yi-Ping Phoebe Chen, Noel E. O'Connor:
Proceedings of the 2020 on International Conference on Multimedia Retrieval, ICMR 2020, Dublin, Ireland, June 8-11, 2020. ACM 2020, ISBN 978-1-4503-7087-5 [contents]
2010 – 2019
- 2019
- [j95]Hao-Fan Yang, Yi-Ping Phoebe Chen:
Representation learning with extreme learning machines and empirical mode decomposition for wind speed forecasting methods. Artif. Intell. 277 (2019) - [j94]Hao-Fan Yang, Yi-Ping Phoebe Chen:
Hybrid deep learning and empirical mode decomposition model for time series applications. Expert Syst. Appl. 120: 128-138 (2019) - [j93]Shirin Akther Khanam, Fei Liu, Yi-Ping Phoebe Chen:
Comprehensive structured knowledge base system construction with natural language presentation. Hum. centric Comput. Inf. Sci. 9: 23 (2019) - [j92]Chandramani Chaudhary, Poonam Goyal, Siddhant Tuli, Shuchita Banthia, Navneet Goyal, Yi-Ping Phoebe Chen:
A novel multimodal clustering framework for images with diverse associated text. Multim. Tools Appl. 78(13): 17623-17652 (2019) - [j91]Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen:
Evaluation of deep learning in non-coding RNA classification. Nat. Mach. Intell. 1(5): 246-256 (2019) - [j90]Qingfeng Chen, Zhao Zhe, Wei Lan, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yi-Ping Phoebe Chen:
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity. Quant. Biol. 7(3): 202-209 (2019) - [j89]Yoshihiro Yamanishi, Yasubumi Sakakibara, Yi-Ping Phoebe Chen:
Guest Editorial for the 16th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 1-2 (2019) - [j88]Shuigeng Zhou, Yi-Ping Phoebe Chen, Hiroshi Mamitsuka:
Editorial. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 350-351 (2019) - [j87]Hao-Fan Yang, Tharam S. Dillon, Elizabeth Chang, Yi-Ping Phoebe Chen:
Optimized Configuration of Exponential Smoothing and Extreme Learning Machine for Traffic Flow Forecasting. IEEE Trans. Ind. Informatics 15(1): 23-34 (2019) - [c79]Shichao Liu, Ziyang Huang, Yang Qiu, Yi-Ping Phoebe Chen, Wen Zhang:
Structural Network Embedding using Multi-modal Deep Auto-encoders for Predicting Drug-drug Interactions. BIBM 2019: 445-450 - [c78]Zeming Liu, Feng Liu, Chengzhi Hong, Meng Gao, Yi-Ping Phoebe Chen, Shichao Liu, Wen Zhang:
Detection of Cell Types from Single-cell RNA-seq Data using Similarity via Kernel Preserving Learning Embedding. BIBM 2019: 451-457 - [c77]Juntong Cheng, Yi-Ping Phoebe Chen, Minjun Li, Yu-Gang Jiang:
TC-GAN: Triangle Cycle-Consistent GANs for Face Frontalization with Facial Features Preserved. ACM Multimedia 2019: 220-228 - 2018
- [j86]Shengxun Yang, Zhen He, Yi-Ping Phoebe Chen:
GCOTraj: A storage approach for historical trajectory data sets using grid cells ordering. Inf. Sci. 459: 1-19 (2018) - [j85]Amir Anees, Yi-Ping Phoebe Chen:
Discriminative binary feature learning and quantization in biometric key generation. Pattern Recognit. 77: 289-305 (2018) - [j84]Jijun Tang, Lu Tian, Yi-Ping Phoebe Chen:
Guest Editorial for the 14th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 396-397 (2018) - [j83]Lusheng Wang, Shuai Cheng Li, Yi-Ping Phoebe Chen:
Guest Editorial for the 15th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1513-1514 (2018) - [j82]Zhanzhan Cheng, Shuigeng Zhou, Yang Wang, Hui Liu, Jihong Guan, Yi-Ping Phoebe Chen:
Effectively Identifying Compound-Protein Interactions by Learning from Positive and Unlabeled Examples. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1832-1843 (2018) - [c76]Chandramani Chaudhary, Poonam Goyal, Joel Ruben Antony Moniz, Navneet Goyal, Yi-Ping Phoebe Chen:
Linguistic Patterns and Cross Modality-based Image Retrieval for Complex Queries. ICMR 2018: 257-265 - 2017
- [j81]Jimmy Ka Ho Chiu, Yi-Ping Phoebe Chen:
A comprehensive study of RNA secondary structure alignment algorithms. Briefings Bioinform. 18(2): 291-305 (2017) - [j80]Cheng-Yu Ma, Yi-Ping Phoebe Chen, Bonnie Berger, Chung-Shou Liao:
Identification of protein complexes by integrating multiple alignment of protein interaction networks. Bioinform. 33(11): 1681-1688 (2017) - [j79]Pooia Lalbakhsh, Yi-Ping Phoebe Chen:
TACD: a transportable ant colony discrimination model for corporate bankruptcy prediction. Enterp. Inf. Syst. 11(5): 758-785 (2017) - [j78]Hao-Fan Yang, Tharam S. Dillon, Yi-Ping Phoebe Chen:
Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2371-2381 (2017) - [c75]Chandramani Chaudhary, Poonam Goyal, Yi-Ping Phoebe Chen:
Exploiting visual and textual neighborhood information to improve image-tag relevance. IEEE BigData 2017: 566-575 - [e10]Qiong Liu, Rainer Lienhart, Haohong Wang, Sheng-Wei "Kuan-Ta" Chen, Susanne Boll, Yi-Ping Phoebe Chen, Gerald Friedland, Jia Li, Shuicheng Yan:
Proceedings of the 2017 ACM on Multimedia Conference, MM 2017, Mountain View, CA, USA, October 23-27, 2017. ACM 2017, ISBN 978-1-4503-4906-2 [contents] - 2016
- [j77]Jijun Tang, Lu Tian, Yi-Ping Phoebe Chen:
Guest Editorial for the 14th Asia Pacific Bioinformatics Conference (APBC2016). Comput. Biol. Chem. 63: 1-2 (2016) - [j76]Yi-Ping Phoebe Chen, Caddi Johnson, Pooia Lalbakhsh, Terry Caelli, Guang Deng, David B. H. Tay, Shane Erickson, Philip Broadbridge, Amr El Refaie, Wendy Doube, Meg E. Morris:
Systematic review of virtual speech therapists for speech disorders. Comput. Speech Lang. 37: 98-128 (2016) - [j75]Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang:
Interval-Based Similarity for Classifying Conserved RNA Secondary Structures. IEEE Intell. Syst. 31(3): 78-85 (2016) - [j74]Steven Keith Begley, Zhen He, Yi-Ping Phoebe Chen:
PaMeCo join: A parallel main memory compact hash join. Inf. Syst. 58: 105-125 (2016) - [j73]Shuigeng Zhou, Yi-Ping Phoebe Chen, Hiroshi Mamitsuka:
Introduction to the special issue on GIW 2016. J. Bioinform. Comput. Biol. 14(5): 1602004:1-1602004:3 (2016) - [j72]