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ORCIDJason Tsong-Li Wang
Jason T. L. Wang
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- affiliation: New Jersey Institute of Technology, Newark, USA
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2020 – today
- 2024
[j71]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
Downscaling daily wind speed with Bayesian deep learning for climate monitoring. Int. J. Data Sci. Anal. 17(4): 411-424 (2024)- [j70]Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Ju Jing:
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification. J. Intell. Inf. Syst. 62(4): 887-903 (2024) - [j69]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data. Knowl. Inf. Syst. 66(1): 613-633 (2024) - [c79]Yasser Abduallah, Vinay Ram Gazula
, Jason T. L. Wang:
An Interpretable Transformer Model for Operational Flare Forecasting. FLAIRS 2024 - [c78]Haodi Jiang, Ryoma Matsuura, Jason T. L. Wang:
Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods. FLAIRS 2024 - [i21]Yasser Abduallah, Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Vania K. Jordanova, Vasyl Yurchyshyn, Huseyin Cavus, Ju Jing:
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. CoRR abs/2402.17196 (2024) - [i20]Chunhui Xu, Jason T. L. Wang, Haimin Wang, Haodi Jiang, Qin Li, Yasser Abduallah, Yan Xu:
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network. CoRR abs/2403.18302 (2024) - 2023
- [j68]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
Deep Learning-Based Downscaling of Temperatures for Monitoring Local Climate Change Using Global Climate Simulation Data. World Sci. Annu. Rev. Artif. Intell. 1: 2250001:1-2250001:24 (2023) - [c77]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data. ICMLSC 2023: 102-109 - [c76]Gautam Varma Datla, Haodi Jiang, Jason T. L. Wang:
An Interpretable LSTM Network for Solar Flare Prediction. ICTAI 2023: 526-531 - [d54]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2023
- [d53]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d52]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d51]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d50]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2023 - [d49]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - [d48]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - [d47]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - [d46]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2023 - [i19]Khalid A. Alobaid, Jason T. L. Wang:
Ensemble Learning for CME Arrival Time Prediction. CoRR abs/2305.00258 (2023) - [i18]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Shen Fan, Jialiang Li, Huseyin Cavus, Vasyl Yurchyshyn:
Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models. CoRR abs/2312.01691 (2023) - 2022
- [c75]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. FLAIRS 2022 - [c74]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change. ICMLSC 2022: 1-7 - [c73]Firas Gerges, Danielle A. Azar, Joseph Vybihal, Jason T. L. Wang:
Early Prediction of Movie Success Using Machine Learning and Evolutionary Computation. ISCIT 2022: 177-182 - [c72]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. ISMIS 2022: 325-335 - [c71]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification. PAKDD (3) 2022: 55-66 - [c70]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Ankit Darekar, Hani Nassif, Jason T. L. Wang:
Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring. ECML/PKDD (5) 2022: 565-580 - [d45]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d44]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d43]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d42]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d41]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d40]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d39]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Zenodo, 2022 - [d38]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Zenodo, 2022 - [d37]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Zenodo, 2022 - [d36]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Zenodo, 2022 - [d35]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Zenodo, 2022 - [d34]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Zenodo, 2022 - [d33]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Zenodo, 2022 - [d32]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Zenodo, 2022 - [d31]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Zenodo, 2022 - [d30]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Zenodo, 2022 - [d29]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Zenodo, 2022 - [d28]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2022 - [d27]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. Zenodo, 2022 - [d26]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. Zenodo, 2022 - [d25]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. Zenodo, 2022 - [d24]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Zenodo, 2022 - [d23]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Zenodo, 2022 - [d22]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Zenodo, 2022 - [d21]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Zenodo, 2022 - [d20]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2022 - [d19]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2022 - [d18]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Hα Fibrils through Bayesian Deep Learning. Zenodo, 2022 - [d17]Haodi Jiang, Qin L, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2022 - [d16]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Stokes Inversion for GST/NIRIS Using Stacked Deep Neural Networks. Zenodo, 2022 - [d15]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. Zenodo, 2022 - [i17]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. CoRR abs/2203.14393 (2022) - [i16]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
A Deep Learning Approach to Dst Index Prediction. CoRR abs/2205.02447 (2022) - [i15]Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang, Haimin Wang:
Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks. CoRR abs/2210.04122 (2022) - [i14]Haodi Jiang, Qin Li, Zhihang Hu, Nian Liu, Yasser Abduallah, Ju Jing, Genwei Zhang, Yan Xu, Wynne Hsu, Jason T. L. Wang, Haimin Wang:
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data. CoRR abs/2211.02278 (2022) - 2021
- [c69]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. FLAIRS 2021 - [d14]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2021 - [d13]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2021 - [d12]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2021 - [d11]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2021 - [d10]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. Zenodo, 2021 - [d9]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. Zenodo, 2021 - [d8]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. Zenodo, 2021 - [d7]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. Zenodo, 2021 - [d6]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares Using a Long Short-term Memory Network. Zenodo, 2021 - [d5]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares Using a Long Short-term Memory Network. Zenodo, 2021 - [d4]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. Zenodo, 2021 - [i13]Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Halpha Fibrils through Bayesian Deep Learning. CoRR abs/2107.07886 (2021) - [i12]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Deep Learning Based Reconstruction of Total Solar Irradiance. CoRR abs/2107.11042 (2021) - 2020
- [j67]Zhihang Hu, Turki Turki, Jason T. L. Wang:
Generative Adversarial Networks for Stochastic Video Prediction With Action Control. IEEE Access 8: 63336-63348 (2020) - [i11]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. CoRR abs/2002.10953 (2020) - [i10]Hao Liu, Yan Xu, Jiasheng Wang, Ju Jing, Chang Liu, Jason T. L. Wang, Haimin Wang:
Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network. CoRR abs/2005.03945 (2020) - [i9]Gelu Nita, Manolis K. Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason T. L. Wang, Rafal A. Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus C. Martens, Ryan M. McGranaghan, Edward Semones, John T. Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu:
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR abs/2006.12224 (2020) - [i8]Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang:
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. CoRR abs/2008.12080 (2020) - [i7]Yasser Abduallah, Jason T. L. Wang, Yang Nie, Chang Liu, Haimin Wang:
DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction. CoRR abs/2009.04238 (2020)
2010 – 2019
- 2019
- [j66]Turki Turki, Jason T. L. Wang:
Clinical intelligence: New machine learning techniques for predicting clinical drug response. Comput. Biol. Medicine 107: 302-322 (2019) - [j65]Yasser Abduallah, Jason T. L. Wang:
New algorithms for inferring gene regulatory networks from time-series expression data on Apache Spark. Int. J. Big Data Intell. 6(3/4): 153-162 (2019) - [c68]Zhihang Hu, Jason Tsong-Li Wang:
A Novel Adversarial Inference Framework for Video Prediction with Action Control. ICCV Workshops 2019: 768-772 - [c67]Zhihang Hu, Jason T. L. Wang:
Generative Adversarial Networks for Video Prediction with Action Control. IJCAI 2019: 87-105 - [d3]Hao Liu, Chang Liu, Jason Tsong-Li Wang, Haimin Wang:
Predicting Solar Flares Using a Long Short-term Memory Network. Zenodo, 2019 - [d2]Hao Liu, Chang Liu, Jason Tsong-Li Wang, Haimin Wang:
Predicting Solar Flares Using a Long Short-term Memory Network. Zenodo, 2019 - [d1]Hao Liu, Chang Liu, Jason Tsong-Li Wang, Haimin Wang:
Prism2/LSTM-flare-prediction: v1.0.1. Zenodo, 2019 - [i6]Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares Using a Long Short-Term Memory Network. CoRR abs/1905.07095 (2019) - 2018
- [j64]Zhihang Hu, Turki Turki, NhatHai Phan, Jason T. L. Wang:
A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction. IEEE Access 6: 43450-43459 (2018) - [j63]Sen Zhang, Zhihui Du, Jason T. L. Wang, Haodi Jiang:
Discovering frequent induced subgraphs from directed networks. Intell. Data Anal. 22(6): 1279-1296 (2018) - [j62]Kevin Byron, Jason T. L. Wang:
A comparative review of recent bioinformatics tools for inferring gene regulatory networks using time-series expression data. Int. J. Data Min. Bioinform. 20(4): 320-340 (2018) - [j61]Turki Turki, Zhi Wei, Jason T. L. Wang:
A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity prediction. J. Bioinform. Comput. Biol. 16(3): 1840014:1-1840014:31 (2018) - [c66]Haodi Jiang, Turki Turki, Jason T. L. Wang:
DLGraph: Malware Detection Using Deep Learning and Graph Embedding. ICMLA 2018: 1029-1033 - [c65]Haodi Jiang, Turki Turki, Sen Zhang, Jason T. L. Wang:
Reverse Engineering Gene Regulatory Networks Using Graph Mining. MLDM (1) 2018: 335-349 - 2017
- [j60]Turki Turki, Zhi Wei, Jason T. L. Wang:
Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients. IEEE Access 5: 7381-7393 (2017) - [j59]Fei Wang, Xiaoli Li, Jason T. L. Wang, See-Kiong Ng:
Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 501-502 (2017) - [c64]Yasser Abduallah, Jason T. L. Wang:
A Time-Delayed Information-Theoretic Approach to the Reverse Engineering of Gene Regulatory Networks Using Apache Spark. DASC/PiCom/DataCom/CyberSciTech 2017: 1106-1113 - [c63]Haodi Jiang, Turki Turki, Jason T. L. Wang:
Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function. ICMLA 2017: 761-764 - [c62]Turki Turki, Jason Tsong-Li Wang:
Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques. MLDM 2017: 63-77 - [i5]Kevin Byron, Jason T. L. Wang:
A Computational Approach to Finding RNA Tertiary Motifs in Genomic Sequences. CoRR abs/1701.00435 (2017) - [i4]Yasser Abduallah, Turki Turki, Kevin Byron, Zongxuan Du, Miguel Cervantes-Cervantes, Jason T. L. Wang:
MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach. CoRR abs/1704.06548 (2017) - 2016
- [b3]Kevin Byron, Katherine G. Herbert, Jason T. L. Wang:
Bioinformatics Database Systems. CRC Press 2016, ISBN 978-1-4398-1247-1 - [c61]Turki Turki, Jason T. L. Wang, Ibrahim Rajikhan:
Inferring Gene Regulatory Networks by Combining Supervised and Unsupervised Methods. ICMLA 2016: 140-145 - [c60]Turki Turki, William Bassett, Jason T. L. Wang:
A Learning Framework to Improve Unsupervised Gene Network Inference. MLDM 2016: 28-42 - [i3]Nihir Patel, Jason T. L. Wang:
Semi-Supervised Prediction of Gene Regulatory Networks Using Machine Learning Algorithms. CoRR abs/1608.03530 (2016) - [i2]Lei Hua, Yang Song, Namhee Kim, Christian Laing, Jason T. L. Wang, Tamar Schlick:
CHSalign: A Web Server That Builds upon Junction-Explorer and RNAJAG for Pairwise Alignment of RNA Secondary Structures with Coaxial Helical Stacking. CoRR abs/1609.01987 (2016) - [i1]Ling Zhong, Jason T. L. Wang:
Effective Classification of MicroRNA Precursors Using Combinatorial Feature Mining and AdaBoost Algorithms. CoRR abs/1610.02281 (2016) - 2015
- [j58]Yang Song, Lei Hua, Bruce A. Shapiro, Jason Tsong-Li Wang:
Effective alignment of RNA pseudoknot structures using partition function posterior log-odds scores. BMC Bioinform. 16: 39:1-39:15 (2015) - [j57]Sen Zhang, Zhihui Du, Jason Tsong-Li Wang:
New Techniques for Mining Frequent Patterns in Unordered Trees. IEEE Trans. Cybern. 45(6): 1113-1125 (2015) - [c59]Turki Turki, Jason T. L. Wang:
A New Approach to Link Prediction in Gene Regulatory Networks. IDEAL 2015: 404-415 - 2014
- [j56]Kevin Byron, Jason T. L. Wang, Dongrong Wen:
Genome-Wide Prediction of Coaxial Helical Stacking Using Random Forests and Covariance Models. Int. J. Artif. Intell. Tools 23(3) (2014) - 2013
- [j55]Palak Sheth, Miguel Cervantes-Cervantes, Akhila Nagula, Christian Laing, Jason T. L. Wang:
Novel features for identifying A-minors in three-dimensional RNA molecules. Comput. Biol. Chem. 47: 240-245 (2013) - 2012
- [j54]Michael Bao, Miguel Cervantes-Cervantes, Ling Zhong, Jason T. L. Wang:
Searching for Non-coding RNAs in Genomic Sequences Using ncRNAscout. Genom. Proteom. Bioinform. 10(2): 114-121 (2012) - [j53]Lei Hua, Jason T. L. Wang, Xiang Ji, Ankur Malhotra, Mugdha Khaladkar, Bruce A. Shapiro, Kaizhong Zhang:
A Method for Discovering Common Patterns from Two RNA Secondary Structures and its Application to Structural Repeat Detection. J. Bioinform. Comput. Biol. 10(4) (2012) - [j52]Xin Zhang, Dennis E. Shasha, Yang Song, Jason T. L. Wang:
Fast Elastic Peak Detection for Mass Spectrometry Data Mining. IEEE Trans. Knowl. Data Eng. 24(4): 634-648 (2012) - [c58]Kevin Byron, Jason T. L. Wang, Dongrong Wen:
Genome-wide search for coaxial helical stacking motifs. BIBE 2012: 260-265 - [c57]Ling Zhong, Jason T. L. Wang, Dongrong Wen, Bruce A. Shapiro:
Pre-miRNA classification via combinatorial feature mining and boosting. BIBM 2012: 1-4 - 2011
- [j51]Stephen J. Griesmer, Miguel Cervantes-Cervantes, Yang Song, Jason T. L. Wang:
In silico prediction of noncoding RNAs using supervised learning and feature ranking methods. Int. J. Bioinform. Res. Appl. 7(4): 355-375 (2011) - 2010
- [j50]Richipal Singh Bindra, Jason T. L. Wang, Paramjeet Singh Bagga:
Bioinformatics Methods for Studying MicroRNA and ARE-Mediated Regulation of Post-Transcriptional Gene Expression. Int. J. Knowl. Discov. Bioinform. 1(3): 97-112 (2010) - [j49]Vandanaben Patel, Jason T. L. Wang, Shefali Setia, Anurag Verma, Charles D. Warden, Kaizhong Zhang:
On Comparing Two Structured RNA Multiple alignments. J. Bioinform. Comput. Biol. 8(6): 967-980 (2010)
2000 – 2009
- 2008
- [j48]Mugdha Khaladkar, Vandanaben Patel, Vivian Bellofatto, Jeffrey Wilusz, Jason Tsong-Li Wang:
Detecting conserved secondary structures in RNA molecules using constrained structural alignment. Comput. Biol. Chem. 32(4): 264-272 (2008) - [j47]Sen Zhang, Jason Tsong-Li Wang:
Discovering Frequent Agreement Subtrees from Phylogenetic Data. IEEE Trans. Knowl. Data Eng. 20(1): 68-82 (2008) - [p7]Katherine G. Herbert, Junilda Spirollari, Jason Tsong-Li Wang, William H. Piel, John D. Westbrook, Winona C. Barker, Zhang-Zhi Hu, Cathy H. Wu:
Bioinformatic Databases. Wiley Encyclopedia of Computer Science and Engineering 2008 - [e8]Jason Tsong-Li Wang:
Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2008, Vancouver, BC, Canada, June 10-12, 2008. ACM 2008, ISBN 978-1-60558-102-6 [contents] - 2007
- [j46]Katherine G. Herbert, Jason T. L. Wang:
Biological data cleaning: a case study. Int. J. Inf. Qual. 1(1): 60-82 (2007) - [j45]Mugdha Khaladkar, Vivian Bellofatto, Jason Tsong-Li Wang, Bin Tian, Bruce A. Shapiro:
RADAR: a web server for RNA data analysis and research. Nucleic Acids Res. 35(Web-Server-Issue): 300-304 (2007) - [c56]Mugdha Khaladkar, Vivian Bellofatto, Jason Tsong-Li Wang, Vandanaben Patel, Marvin K. Nakayama:
Constrained RNA Structural Alignment: Algorithms and Application to Motif Detection in the Untranslated Regions of Trypanosoma brucei mRNAs. BIBE 2007: 334-341 - [c55]Junilda Spirollari, Jason T. L. Wang, Yongkyu Park:
A New Algorithm for RNA Secondary Structure Prediction. BIOCOMP 2007: 349-354 - [c54]Mugdha Khaladkar, Jason T. L. Wang:
Detecting Conserved RNA Secondary Structures in Viral Genomes: The RADAR Approach. BioSurveillance 2007: 222-227 - [c53]Jason Tsong-Li Wang, Dongrong Wen, Bruce A. Shapiro, Katherine G. Herbert, Jing Li, Kaushik Ghosh:
Toward an Integrated RNA Motif Database. DILS 2007: 27-36 - [c52]Jonathan D. Marra, Katherine G. Herbert, Jason T. L. Wang:
A study of phylogenetic tools for genomic nomenclature data cleaning. ITiCSE 2007: 347 - [p6]Jason T. L. Wang, Xiaoming Wu:
Classification of RNA Sequences with Support Vector Machines. Analysis of Biological Data: A Soft Computing Approach 2007: 85-108 - [e7]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason Tsong-Li Wang:
Analysis of Biological Data: A Soft Computing Approach. Science, Engineering, and Biology Informatics 3, World Scientific 2007, ISBN 981-270-780-8 [contents] - 2006
- [j44]Jason T. L. Wang, Xiaoming Wu:
Kernel design for RNA classification using Support Vector Machines. Int. J. Data Min. Bioinform. 1(1): 57-76 (2006) - [c51]Xiaoming Wu, Jason Tsong-Li Wang, Katherine G. Herbert:
A New Kernel Method for RNA Classification. BIBE 2006: 201-208 - [c50]Mugdha Khaladkar, Vivian Bellofatto, Jason T. L. Wang, Bin Tian, Kaizhong Zhang:
RADAR: An InteractiveWeb-Based Toolkit for RNA Data Analysis and Research. BIBE 2006: 209-212 - [c49]Sen Zhang, Jason Tsong-Li Wang:
Mining Frequent Agreement Subtrees in Phylogenetic Databases. SDM 2006: 222-233 - [c48]Sen Zhang, Katherine G. Herbert, Jason T. L. Wang, William H. Piel, David R. B. Stockwell:
PhyloMiner: A Tool for Evolutionary Data Analysis. SSDBM 2006: 129-132 - 2005
- [j43]Jianghui Liu, Jason Tsong-Li Wang, Jun Hu, Bin Tian:
A method for aligning RNA secondary structures and its application to RNA motif detection. BMC Bioinform. 6: 89 (2005) - [j42]Jason T. L. Wang, Jianghui Liu, Junhan Wang:
Xml Clustering And Retrieval Through Principal Component Analysis. Int. J. Artif. Intell. Tools 14(4): 683- (2005) - [j41]Jason Tsong-Li Wang, Xiong Wang, Dennis E. Shasha, Kaizhong Zhang:
MetricMap: an embedding technique for processing distance-based queries in metric spaces. IEEE Trans. Syst. Man Cybern. Part B 35(5): 973-987 (2005) - [c47]David R. B. Stockwell, Jason T. L. Wang:
Biomonitoring, Phylogenetics and Anomaly Aggregation Systems. ISI 2005: 523-529 - [c46]Katherine G. Herbert, Shashikanth Pusapati, Jason Tsong-Li Wang, William H. Piel:
Lineage Path Integration for Phylogenetic Resources. SSDBM 2005: 117-120 - [p5]Jason Tsong-Li Wang, Mohammed Javeed Zaki, Hannu Toivonen, Dennis E. Shasha:
Introduction to Data Mining in Bioinformatics. Data Mining in Bioinformatics 2005: 3-8 - [e6]Jason Tsong-Li Wang, Mohammed Javeed Zaki, Hannu Toivonen, Dennis E. Shasha:
Data Mining in Bioinformatics. Springer 2005, ISBN 1-85233-671-4 [contents] - 2004
- [j40]Michael M. Yin, Jason Tsong-Li Wang:
GeneScout: a data mining system for predicting vertebrate genes in genomic DNA sequences. Inf. Sci. 163(1-3): 201-218 (2004) - [j39]Katherine G. Herbert, Narain H. Gehani, William H. Piel, Jason Tsong-Li Wang, Cathy H. Wu:
BIO-AJAX: An Extensible Framework for Biological Data Cleaning. SIGMOD Rec. 33(2): 51-57 (2004) - [c45]Dennis E. Shasha, Jason Tsong-Li Wang, Sen Zhang:
Unordered Tree Mining with Applications to Phylogeny. ICDE 2004: 708-719 - [c44]Junmei Wang, Wynne Hsu, Mong-Li Lee, Jason Tsong-Li Wang:
FlowMiner: Finding Flow Patterns in Spatio-Temporal Databases. ICTAI 2004: 14-21 - [c43]Jianghui Liu, Jason T. L. Wang, Wynne Hsu, Katherine G. Herbert:
XML Clustering by Principal Component Analysis. ICTAI 2004: 658-662 - 2003
- [j38]Mohammed Javeed Zaki, Jason Tsong-Li Wang:
Special issue on data management in bioinformatics. Inf. Syst. 28(4): 241-242 (2003) - [j37]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
Data mining in bioinformatics: report on BIOKDD'03. SIGKDD Explor. 5(2): 198-199 (2003) - [c42]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
Opening Remarks. BIOKDD 2003 - [c41]Jason Tsong-Li Wang, Huiyuan Shan, Dennis E. Shasha, William H. Piel:
TreeRank: A Similarity Measure for Nearest Neighbor Searching in Phylogenetic Databases. SSDBM 2003: 171-180 - [p4]Xiong Wang, Jason Tsong-Li Wang:
Protein Classification: A Geometric Hashing Approach. Computational Biology and Genome Informatics 2003: 163-181 - [e5]Jason Tsong-Li Wang, Cathy H. Wu, Paul P. Wang:
Computational Biology and Genome Informatics. World Scientific 2003, ISBN 981-238-257-7 [contents] - [e4]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
Proceedings of the 3nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2003), August 27th, 2003, Washington, DC, USA. 2003 [contents] - 2002
- [j36]Sen Zhang, Jason Tsong-Li Wang, Katherine G. Herbert:
XML Query by Example. Int. J. Comput. Intell. Appl. 2(3): 329-337 (2002) - [j35]Jason Tsong-Li Wang, Kaizhong Zhang, George Jyh-Shian Chang, Dennis E. Shasha:
Finding approximate patterns in undirected acyclic graphs. Pattern Recognit. 35(2): 473-483 (2002) - [j34]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
BIOKDD01: Workshop on Data Mining in Bioinformatics. SIGKDD Explor. 3(2): 71-73 (2002) - [j33]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
BIOKDD 2002: Recent Advanced in Data Minig for Bioinformatics. SIGKDD Explor. 4(2): 112-114 (2002) - [j32]Xiong Wang, Jason Tsong-Li Wang, Dennis E. Shasha, Bruce A. Shapiro, Isidore Rigoutsos, Kaizhong Zhang:
Finding Patterns in Three-Dimensional Graphs: Algorithms and Applications to Scientific Data Mining. IEEE Trans. Knowl. Data Eng. 14(4): 731-749 (2002) - [c40]Michael M. Yin, Jason Tsong-Li Wang:
Mining Genes in DNA Using GeneScout. ICDM 2002: 733-736 - [c39]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
Foreword. BIOKDD 2002 - [c38]Sen Zhang, Li Liao, Jean-François Tomb, Jason Tsong-Li Wang:
Clustering and Classifying Enzymes in Metabolic Pathways: Some Preliminary Results. BIOKDD 2002: 19-24 - [c37]Dennis E. Shasha, Jason Tsong-Li Wang, Rosalba Giugno:
Algorithmics and Applications of Tree and Graph Searching. PODS 2002: 39-52 - [c36]Huiyuan Shan, Katherine G. Herbert, William H. Piel, Dennis E. Shasha, Jason Tsong-Li Wang:
A Structure-Based Search Engine for Phylogenetic Databases. SSDBM 2002: 7-10 - [c35]Dennis E. Shasha, Jason Tsong-Li Wang, Huiyuan Shan, Kaizhong Zhang:
ATreeGrep: Approximate Searching in Unordered Trees. SSDBM 2002: 89-98 - [e3]Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), July 23rd, 2002, Edmonton, Alberta, Canada. 2002 [contents] - 2001
- [b2]George Jyh-Shian Chang, Marcus J. Healey, James A. M. McHugh, Jason Tsong-Li Wang:
Mining the World Wide Web: An Information Search Approach. The Kluwer International Series on Information Retrieval 10, Kluwer 2001, ISBN 0-7923-7349-9 - [j31]Jason Tsong-Li Wang, Qicheng Ma, Dennis E. Shasha, Cathy H. Wu:
New techniques for extracting features from protein sequences. IBM Syst. J. 40(2): 426-441 (2001) - [j30]James R. Gattiker, Jason Tsong-Li Wang, Paul P. Wang:
Bioinformatics - Introduction to the Special Issue. Inf. Sci. 139(1-2): 1-2 (2001) - [j29]Michael M. Yin, Jason Tsong-Li Wang:
Effective hidden Markov models for detecting splicing junction sites in DNA sequences. Inf. Sci. 139(1-2): 139-163 (2001) - [j28]George Jyh-Shian Chang, Gunjan Samtani, Marcus L. Healey, Franz J. Kurfess, Jason Tsong-Li Wang:
Precise Environmental Searches: Integrating Hierarchical Information Search with EnviroDaemon. J. Syst. Integr. 10(3): 253-267 (2001) - [j27]Jason Tsong-Li Wang, Kaizhong Zhang:
Finding similar consensus between trees: an algorithm and a distance hierarchy. Pattern Recognit. 34(1): 127-137 (2001) - [j26]Qicheng Ma, Jason Tsong-Li Wang, Dennis E. Shasha, Cathy H. Wu:
DNA sequence classification via an expectation maximization algorithm and neural networks: a case study. IEEE Trans. Syst. Man Cybern. Part C 31(4): 468-475 (2001) - [e2]Mohammed Javeed Zaki, Hannu Toivonen, Jason Tsong-Li Wang:
Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001). 2001 [contents] - 2000
- [j25]Jason Tsong-Li Wang, Kaizhong Zhang:
Identifying consensus of trees through alignment. Inf. Sci. 126(1-4): 165-189 (2000) - [j24]Xiong Wang, Jason Tsong-Li Wang:
Fast Similarity Search in Three-Dimensional Structure Databases. J. Chem. Inf. Comput. Sci. 40(2): 442-451 (2000) - [j23]Xiong Wang, Jason Tsong-Li Wang, King-Ip (David) Lin, Dennis E. Shasha, Bruce A. Shapiro, Kaizhong Zhang:
An Index Structure for Data Mining and Clustering. Knowl. Inf. Syst. 2(2): 161-184 (2000) - [c34]Michael M. Yin, Jason T. L. Wang:
Application of hidden Markov models to biological data mining: a case study. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: 352-358 - [c33]Jason Tsong-Li Wang, Qicheng Ma, Dennis E. Shasha, Cathy H. Wu:
Application of neural networks to biological data mining: a case study in protein sequence classification. KDD 2000: 305-309 - [c32]Jason Tsong-Li Wang, Xiong Wang, Dennis E. Shasha, Bruce A. Shapiro, Kaizhong Zhang, Xinhuan Zheng, Qicheng Ma, Zasha Weinberg:
An Approximate Search Engine for Structural Databases. SIGMOD Conference 2000: 584
1990 – 1999
- 1999
- [j22]James R. Gattiker, Jason Tsong-Li Wang:
Biocomputing - Introduction to the Special Issue. Int. J. Artif. Intell. Tools 8(4): 361-362 (1999) - [j21]Qicheng Ma, Jason Tsong-Li Wang:
Biological Data Mining Using Bayesian Neural Networks: A Case Study. Int. J. Artif. Intell. Tools 8(4): 433-452 (1999) - [j20]Jason Tsong-Li Wang, Kaizhong Zhang, Chia-Yo Chang:
Identifying Approximately Common Substructures in Trees Based on a Restricted Edit Distance. Inf. Sci. 121(3-4): 367-386 (1999) - [j19]Jason Tsong-Li Wang, Steve Rozen, Bruce A. Shapiro, Dennis E. Shasha, Zhiyuan Wang, Maisheng Yin:
New Techniques for DNA Sequence Classification. J. Comput. Biol. 6(2): 209-218 (1999) - [c31]Qicheng Ma, Jason Tsong-Li Wang:
Application of Bayesian Neural Networks to Protein Sequence Classification. IC-AI 1999: 530-536 - [c30]Jason Tsong-Li Wang, Xiong Wang, King-Ip (David) Lin, Dennis E. Shasha, Bruce A. Shapiro, Kaizhong Zhang:
Evaluating a Class of Distance-Mapping Algorithms for Data Mining and Clustering. KDD 1999: 307-311 - [p3]Jason Tsong-Li Wang, Thomas G. Marr, Steve Rozen, Dennis E. Shasha:
Pattern Discovery and Classification in Biosequences. Pattern Discovery in Biomolecular Data 1999: 55-74 - [p2]Bin Li, Dennis E. Shasha, Jason Tsong-Li Wang:
A Framework for Biological Pattern Discovery on Networks of Workstations. Pattern Discovery in Biomolecular Data 1999: 133-144 - [e1]Jason Tsong-Li Wang, Bruce A. Shapiro, Dennis E. Shasha:
Pattern Discovery in Biomolecular Data: Tools, Techniques and Applications. Oxford University Press 1999, ISBN 0-19-511940-1 [contents] - 1998
- [j18]Chia-Yo Chang, Jason Tsong-Li Wang, Roger K. Chang:
Scientific Data Mining: A Case Study. Int. J. Softw. Eng. Knowl. Eng. 8(1): 77-96 (1998) - [j17]Jason Tsong-Li Wang, Bruce A. Shapiro, Dennis E. Shasha, Kaizhong Zhang, Kathleen M. Currey:
An Algorithm for Finding the Largest Approximately Common Substructures of Two Trees. IEEE Trans. Pattern Anal. Mach. Intell. 20(8): 889-895 (1998) - [c29]Yanling Yang, Kaizhong Zhang, Xiong Wang, Jason Tsong-Li Wang, Dennis E. Shasha:
An Approximate Oracle for Distance in Metric Spaces. CPM 1998: 104-117 - [c28]Xiong Wang, Jason Tsong-Li Wang:
Fast similarity search in databases of 3D objects. ICTAI 1998: 16-23 - 1997
- [j16]Ching-Song Wei, Qianhong Liu, Jason Tsong-Li Wang, Peter A. Ng:
Knowledge Discovering for Document Classification Using Tree Matching in TEXPROS. Inf. Sci. 100(1-4): 255-310 (1997) - [j15]Jason Tsong-Li Wang, Chia-Yo Chang:
Fast retrieval of electronic messages that contain mistyped words or spelling errors. IEEE Trans. Syst. Man Cybern. Part B 27(3): 441-451 (1997) - [c27]George Jyh-Shian Chang, Girish Patel, Liam Relihan, Jason Tsong-Li Wang:
A graphical environment for change detection in structured documents. COMPSAC 1997: 536-541 - [c26]Michael Bieber, Michael R. Bartolacci, Jerry Fjermestad, Franz J. Kurfess, Qianhong Liu, Marvin K. Nakayama, Ajaz Rana, Wilhelm R. Rossak, Richard B. Scherl, Murat M. Tanik, Jason Tsong-Li Wang, Raymond T. Yeh, Peter A. Ng, Richard Sweeney, Fabio Vitali:
Electronic enterprise engineering: an outline of an architecture. ECBS 1997: 376- - [c25]Gung-Wei Chirn, Jason Tsong-Li Wang, Zhiyuan Wang:
Scientific Data Classification: A Case Study. ICTAI 1997: 216- - [c24]Xiong Wang, Jason Tsong-Li Wang, Dennis E. Shasha, Bruce A. Shapiro, Sitaram Dikshitulu, Isidore Rigoutsos, Kaizhong Zhang:
Automated Discovery of Active Motifs in Three Dimensional Molecules. KDD 1997: 89-95 - [c23]Jason Tsong-Li Wang, Dennis E. Shasha, George Jyh-Shian Chang, Liam Relihan, Kaizhong Zhang, Girish Patel:
Structural Matching and Discovery in Document Databases. SIGMOD Conference 1997: 560-563 - 1996
- [j14]Kaizhong Zhang, Jason Tsong-Li Wang, Dennis E. Shasha:
On the Editing Distance Between Undirected Acyclic Graphs. Int. J. Found. Comput. Sci. 7(1): 43-58 (1996) - [j13]Xiaolong Hao, Jason Tsong-Li Wang, Peter A. Ng:
Information Extraction from the Structured Part of Office Documents. Inf. Sci. 91(3): 245-274 (1996) - [j12]Gang Zhou, Jason Tsong-Li Wang, Peter A. Ng:
Curriculum Knowledge Representation and Manipulation in Knowledge-Based Tutoring Systems. IEEE Trans. Knowl. Data Eng. 8(5): 679-689 (1996) - [c22]Jason Tsong-Li Wang, Bruce A. Shapiro, Dennis E. Shasha, Kaizhong Zhang, Chia-Yo Chang:
Automated Discovery of Active Motifs in Multiple RNA Secondary Structures. KDD 1996: 70-75 - [c21]Chia-Yo Chang, Jason Tsong-Li Wang:
Scientific Data Mining: A Case Study. SEKE 1996: 100-107 - [c20]George Jyh-Shian Chang, Jason Tsong-Li Wang, Gung-Wei Chirn, Chia-Yo Chang, Weihong Wu, Firas Aljallad:
A Visualization Tool for Pattern Matching and Discovery in Scientific Databases. SEKE 1996: 563-570 - 1995
- [j11]Fortune S. Mhlanga, Zhijian Zhu, Jason Tsong-Li Wang, Peter A. Ng:
A New Approach to Modeling Personal Office Documents. Data Knowl. Eng. 17(2): 127-158 (1995) - [j10]Jason Tsong-Li Wang, Kaizhong Zhang, Gung-Wei Chirn:
Algorithms for Approximate Graph Matching. Inf. Sci. 82(1-2): 45-74 (1995) - [c19]Kaizhong Zhang, Jason Tsong-Li Wang, Dennis E. Shasha:
On the Editing Distance between Undirected Acyclic Graphs and Related Problems. CPM 1995: 395-407 - [c18]Jiangling Wan, Michael P. Bieber, Jason Tsong-Li Wang, Peter A. Ng:
LHM: a logic-based hypertext data model for integrating hypertext and information systems. HICSS (3) 1995: 350-361 - [c17]Jason Tsong-Li Wang, Chia-Yo Chang:
Fast retrieval of electronic documents in digital libraries. ICTAI 1995: 208-215 - [c16]Jason Tsong-Li Wang, Gung-Wei Chim, Chia-Yo Chang, George Jyh-Shian Chang, Karen Pysniak:
An Integrated Toolkit for Pattern Matching and Pattern Discovery in Scientific, Program, and Document databases. SEKE 1995: 497 - [c15]Jason Tsong-Li Wang, Kaizhong Zhang, Dennis E. Shasha:
Pattern Matching and Pattern Discovery in Scientific, Program, and Document Databases. SIGMOD Conference 1995: 487 - 1994
- [j9]Xiaolong Hao, Jason T. L. Wang, Michael P. Bieber, Peter A. Ng:
Heuristic Classification of Office Documents. Int. J. Artif. Intell. Tools 3(2): 233-266 (1994) - [j8]Kaizhong Zhang, Dennis E. Shasha, Jason Tsong-Li Wang:
Approximate Tree Matching in the Presence of Variable Length Don't Cares. J. Algorithms 16(1): 33-66 (1994) - [j7]Zhijian Zhu, James A. McHugh, Jason T. L. Wang, Peter A. Ng:
A formal approach to modeling office information systems. J. Syst. Integr. 4(4): 373-403 (1994) - [j6]Jason Tsong-Li Wang, Kaizhong Zhang, Karpjoo Jeong, Dennis E. Shasha:
A System for Approximate Tree Matching. IEEE Trans. Knowl. Data Eng. 6(4): 559-571 (1994) - [j5]Dennis E. Shasha, Jason Tsong-Li Wang, Kaizhong Zhang, Frank Y. Shih:
Exact and approximate algorithms for unordered tree matching. IEEE Trans. Syst. Man Cybern. 24(4): 668-678 (1994) - [c14]Jiangling Wan, Michael P. Bieber, Jason Tsong-Li Wang, Peter A. Ng:
Document Management Through Hypertext: A Logic Modeling Approach. HICSS (3) 1994: 558-568 - [c13]Jason T. L. Wang, Kaizhong Zhang, Gung-Wei Chirn:
The approximate graph matching problem. ICPR (2) 1994: 284-288 - [c12]Gang Zhou, Jason Tsong-Li Wang, Peter A. Ng:
A Knowledge-Based Tutoring System for SQL Programming. ICTAI 1994: 352-358 - [c11]Jason Tsong-Li Wang, Kaizhong Zhang, Gung-Wei Chirn:
Approximate Graph Matching Using Probabilistic Hill Climbing Algorithms. ICTAI 1994: 390-396 - [c10]Steve C. Y. Chiang, Jason Tsong-Li Wang, Michael P. Bieber, Peter A. Ng:
DocFlow: an event-driven visual programming environment for office automation through document processing. SEKE 1994: 454-461 - [c9]Jason Tsong-Li Wang, Gung-Wei Chirn, Thomas G. Marr, Bruce A. Shapiro, Dennis E. Shasha, Kaizhong Zhang:
Combinatorial Pattern Discovery for Scientific Data: Some Preliminary Results. SIGMOD Conference 1994: 115-125 - [p1]Jason T. L. Wang, Peter A. Ng:
Texpros: an Intelligent Document Processing System. The Impact of Case Technology on Software Processes 1994: 103-135 - 1993
- [j4]Qianhong Liu, Jason T. L. Wang, Peter A. Ng:
On research issues regarding uncertain query processing in an office document retrieval system. J. Syst. Integr. 3(2): 163-194 (1993) - [c8]Xiaolong Hao, Jason T. L. Wang, Peter A. Ng:
Nested segmentation: an approach for layout analysis in document classification. ICDAR 1993: 319-322 - [c7]Xiaolong Hao, Jason Tsong-Li Wang, Michael P. Bieber, Peter A. Ng:
A Tool for Classifying Office Documents. ICTAI 1993: 427-434 - [c6]Qianhong Liu, Jason Tsong-Li Wang, Peter A. Ng:
An OI5ce Document Retrieval System with the Capability of Processing Incomplete and Vague Queries. SEKE 1993: 11-17 - [c5]Jason Tsong-Li Wang, Fortune S. Mhlanga, Qianhong Liu, Wen-Chung Shang, Peter A. Ng:
An Intelligent Documentation Support Environment. SEKE 1993: 429-436 - 1992
- [j3]Jason T. L. Wang, Peter A. Ng:
Texpros: an Intelligent Document Processing System. Int. J. Softw. Eng. Knowl. Eng. 2(2): 171-196 (1992) - [c4]Kaizhong Zhang, Dennis E. Shasha, Jason Tsong-Li Wang:
Fast Serial and Parallel Algorithms for Approximate Tree Matching with VLDC's. CPM 1992: 151-161 - [c3]Dennis E. Shasha, Jason Tsong-Li Wang, Kaizhong Zhang, Frank Yeong-Chyang Shih:
Pattern Matching in Unordered Trees. ICTAI 1992: 352-361 - 1991
- [b1]Jason Tsong-Li Wang:
Query Optimization in Database and Information Retrieval Systems. New York University, USA, 1991 - [j2]Dennis E. Shasha, Jason Tsong-Li Wang:
Optimizing Equijoin Queries In Distributed Databases Where Relations Are Hash Partitioned. ACM Trans. Database Syst. 16(2): 279-308 (1991) - [c2]Jason Tsong-Li Wang, Kaizhong Zhang, Karpjoo Jeong, Dennis E. Shasha:
A tool for tree pattern matching. ICTAI 1991: 436-444 - 1990
- [j1]Dennis E. Shasha, Jason Tsong-Li Wang:
New Techniques for Best-Match Retrieval. ACM Trans. Inf. Syst. 8(2): 140-158 (1990) - [c1]Jason Tsong-Li Wang, Dennis E. Shasha:
Query Processing for Distance Metrics. VLDB 1990: 602-613
Coauthor Index
Katherine G. Herbert-Berger
aka: Katherine G. Herbert
aka: Katherine G. Herbert
[j70] [i21] [i20] [d54] [d53] [d52] [d51] [d50] [d49] [d48] [d47] [d46] [i18] [c75] [c72] [d45] [d44] [d43] [d42] [d41] [d40] [d39] [d38] [d37] [d36] [d35] [d34] [d33] [d32] [d31] [d30] [d29] [d28] [d27] [d26] [d25] [d24] [d23] [d22] [d21] [d20] [d19] [d18] [d17] [d16] [d15] [i17] [i16] [i15] [i14] [c69] [d14] [d13] [d12] [d11] [d10] [d9] [d8] [d7] [d6] [d5] [d4] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [d3] [d2] [d1] [i6]
Mohammed J. Zaki
aka: Mohammed Javeed Zaki
aka: Mohammed Javeed Zaki
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