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2020 – today
- 2023
[c40]Yi-Syuan Wu, Wei-Yun Wang, Hao-Yi Wu, Chao-Wen Chen, Chi-Ming Chu, Cheng-Wei Wu:
Predicting Metabolic Syndrome With Machine Learning Models of Hybrid Analysis. ICCE-Taiwan 2023: 263-264- 2022
- [j17]Cheng-Wei Wu
, JianTao Huang, Yun-Wei Lin, Chien-Yu Chuang, Yu-Chee Tseng:
Efficient algorithms for deriving complete frequent itemsets from frequent closed itemsets. Appl. Intell. 52(6): 7002-7023 (2022) - 2021
- [j16]Mourad Nouioua, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, Wensheng Gan:
FHUQI-Miner: Fast high utility quantitative itemset mining. Appl. Intell. 51(10): 6785-6809 (2021) - [c39]Cheng-Wei Wu, Yun-Wei Lin, Ming-Ta Chen, Ji-Hong Cheng:
A Fast Algorithm for Deriving Frequent Itemsets. TAAI 2021: 211-216 - 2020
- [c38]R. Uday Kiran, Sadanori Ito, Minh-Son Dao, Koji Zettsu, Cheng-Wei Wu, Yutaka Watanobe, Incheon Paik, Truong Cong Thang:
Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture. IEEE BigData 2020: 4724-4733 - [c37]C. Saideep, R. Uday Kiran, Koji Zettsu, Cheng-Wei Wu, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa:
Parallel Mining of Partial Periodic Itemsets in Big Data. IEA/AIE 2020: 807-819
2010 – 2019
- 2019
- [j15]Ba-Phuc Huynh, Cheng-Wei Wu, Yong-Lin Kuo:
Force/Position Hybrid Control for a Hexa Robot Using Gradient Descent Iterative Learning Control Algorithm. IEEE Access 7: 72329-72342 (2019) - [c36]Albert Budi Christian, Cheng-Wei Wu, Wan-Hsun Hu, Yung-Ju Chang, Yu-Chee Tseng:
A New Online Charging System Based on Context of Mobile Users. ICCE-TW 2019: 1-2 - [c35]Li-Hsine Lin, JianTao Huang, Yi-Ching Lyu, Po-Chuan Huang, Cheng-Wei Wu:
Conversation Partner Grouping Based on Speech Contents. ICCE-TW 2019: 1-2 - [c34]Chia Hua Li, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng:
An Efficient Algorithm for Mining High Utility Quantitative Itemsets. ICDM Workshops 2019: 1005-1012 - [c33]JianTao Huang, Yi-Pei Lai, Chieh Lo, Cheng-Wei Wu:
An Efficient Algorithm for Deriving Frequent Itemsets from Lossless Condensed Representation. IEA/AIE 2019: 216-229 - [c32]Chun-Han Lin, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng:
Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture. PAKDD (2) 2019: 253-265 - 2018
- [c31]Wei-Chun Chang, Cheng-Wei Wu, Richard Yi-Chia Tsai, Kate Ching-Ju Lin, Yu-Chee Tseng:
Eye on You: Fusing Gesture Data from Depth Camera and Inertial Sensors for Person Identification. ICRA 2018: 2021-2026 - [i1]Cheng-Wei Wu, Jen-Yu Liu, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks. CoRR abs/1807.02254 (2018) - 2017
- [j14]Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S. Tseng, Chien Lin:
Efficiently mining high utility sequential patterns in static and streaming data. Intell. Data Anal. 21(S1): S103-S135 (2017) - [j13]Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
EFIM: a fast and memory efficient algorithm for high-utility itemset mining. Knowl. Inf. Syst. 51(2): 595-625 (2017) - [c30]Yi-Chia Tsai, Yu-Da Cheng, Cheng-Wei Wu, Yueh-Ting Lai, Wan-Hsun Hu, Jeu-Yih Jeng, Yu-Chee Tseng:
Time-Dependent Smart Data Pricing Based on Machine Learning. Canadian AI 2017: 103-108 - [c29]Yi Ren, Muhammad Alfiansyah, Nyoto Arif Wibowo, Cheng-Wei Wu, JieFu Geng, Yu-Chee Tseng:
iToy: A LEGO-like solution for small scale IoT applications. APNOMS 2017: 307-310 - [c28]Yi Ren, Tsung-Han Tsai, Ji-Cheng Huang, Cheng-Wei Wu, Yu-Chee Tseng:
Flowtable-Free Routing for Data Center Networks: A Software-Defined Approach. GLOBECOM 2017: 1-6 - [c27]Zone-Ze Wu, Cheng-Wei Wu, Lan-Da Van, Yu-Chee Tseng:
Qnalyzer: Queuing Recognition Using Accelerometer and Wi-Fi Signals. GLOBECOM 2017: 1-7 - [c26]Cheng-Wei Wu, Hua-Zhi Yang, Yan-Ann Chen, Ensa Bajo, Yi Ren, Yu-Chee Tseng:
Applying machine learning to head gesture recognition using wearables. iCAST 2017: 436-440 - [c25]Bohdan Myroniv, Cheng-Wei Wu, Yi Ren, Yu-Chee Tseng:
Analysis of Users' Emotions Through Physiology. ICGEC 2017: 136-143 - [c24]Deeporn Mungtavesinsuk, Yan-Ann Chen, Cheng-Wei Wu, Ensa Bajo, Hsin-Wei Kao, Yu-Chee Tseng:
Using Nonverbal Information for Conversation Partners Inference by Wearable Devices. IoTaaS 2017: 187-193 - [c23]Xin Zhang, Cheng-Wei Wu, Philippe Fournier-Viger, Lan-Da Van, Yu-Chee Tseng:
Analyzing students' attention in class using wearable devices. WoWMoM 2017: 1-9 - 2016
- [j12]Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu:
Efficient Algorithms for Mining Top-K High Utility Itemsets. IEEE Trans. Knowl. Data Eng. 28(1): 54-67 (2016) - [c22]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, Usef Faghihi:
Mining Minimal High-Utility Itemsets. DEXA (1) 2016: 88-101 - [c21]Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets. MLDM 2016: 199-213 - [c20]Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
Efficient closed high-utility itemset mining. SAC 2016: 898-900 - 2015
- [j11]Yu-Feng Lin, Cheng-Wei Wu, Chien-Feng Huang, Vincent S. Tseng:
Discovering utility-based episode rules in complex event sequences. Expert Syst. Appl. 42(12): 5303-5314 (2015) - [j10]Kyle K. Biggar, Cheng-Wei Wu, Shannon N. Tessier, Jing Zhang, Fabien Pifferi, Martine Perret, Kenneth B. Storey:
Primate Torpor: Regulation of Stress-activated Protein Kinases During Daily Torpor in the Gray Mouse Lemur, Microcebus murinus. Genom. Proteom. Bioinform. 13(2): 81-90 (2015) - [j9]Shannon N. Tessier, Jing Zhang, Kyle K. Biggar, Cheng-Wei Wu, Fabien Pifferi, Martine Perret, Kenneth B. Storey:
Regulation of the PI3K/AKT Pathway and Fuel Utilization During Primate Torpor in the Gray Mouse Lemur, Microcebus murinus. Genom. Proteom. Bioinform. 13(2): 91-102 (2015) - [j8]Jing Zhang, Shannon N. Tessier, Kyle K. Biggar, Cheng-Wei Wu, Fabien Pifferi, Martine Perret, Kenneth B. Storey:
Regulation of Torpor in the Gray Mouse Lemur: Transcriptional and Translational Controls and Role of AMPK Signaling. Genom. Proteom. Bioinform. 13(2): 103-110 (2015) - [j7]Kyle K. Biggar, Cheng-Wei Wu, Shannon N. Tessier, Jing Zhang, Fabien Pifferi, Martine Perret, Kenneth B. Storey:
Modulation of Gene Expression in Key Survival Pathways During Daily Torpor in the Gray Mouse Lemur, Microcebus murinus. Genom. Proteom. Bioinform. 13(2): 111-118 (2015) - [j6]Cheng-Wei Wu, Kyle K. Biggar, Jing Zhang, Shannon N. Tessier, Fabien Pifferi, Martine Perret, Kenneth B. Storey:
Induction of Antioxidant and Heat Shock Protein Responses During Torpor in the Gray Mouse Lemur, Microcebus murinus. Genom. Proteom. Bioinform. 13(2): 119-126 (2015) - [j5]Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu:
Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets. IEEE Trans. Knowl. Data Eng. 27(3): 726-739 (2015) - [j4]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Longbing Cao, Roger Nkambou:
Mining Partially-Ordered Sequential Rules Common to Multiple Sequences. IEEE Trans. Knowl. Data Eng. 27(8): 2203-2216 (2015) - [c19]Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S. Tseng:
Mining High Utility Sequential Patterns from Evolving Data Streams. ASE BD&SI 2015: 52:1-52:6 - [c18]Vincent S. Tseng, Cheng-Wei Wu, Jun-Han Lin, Philippe Fournier-Viger:
UP-Miner: A Utility Pattern Mining Toolbox. ICDM Workshops 2015: 1656-1659 - [c17]Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
EFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining. MICAI (1) 2015: 530-546 - [c16]Souleymane Zida, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, Vincent S. Tseng:
Efficient Mining of High-Utility Sequential Rules. MLDM 2015: 157-171 - [c15]Ying Chun Lin, Cheng-Wei Wu, Vincent S. Tseng:
Mining High Utility Itemsets in Big Data. PAKDD (2) 2015: 649-661 - [c14]Cheng-Wei Wu, Philippe Fournier-Viger, Jia-Yuan Gu, Vincent S. Tseng:
Mining closed+ high utility itemsets without candidate generation. TAAI 2015: 187-194 - 2014
- [j3]Cheng-Wei Wu, Kyle K. Biggar, Kenneth B. Storey:
Expression Profiling and Structural Characterization of MicroRNAs in Adipose Tissues of Hibernating Ground Squirrels. Genom. Proteom. Bioinform. 12(6): 284-291 (2014) - [j2]Philippe Fournier-Viger, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Cheng-Wei Wu, Vincent S. Tseng:
SPMF: a Java open-source pattern mining library. J. Mach. Learn. Res. 15(1): 3389-3393 (2014) - [c13]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng:
Novel Concise Representations of High Utility Itemsets Using Generator Patterns. ADMA 2014: 30-43 - [c12]Philippe Fournier-Viger, Cheng-Wei Wu, Antonio Gomariz, Vincent S. Tseng:
VMSP: Efficient Vertical Mining of Maximal Sequential Patterns. Canadian AI 2014: 83-94 - [c11]Chia Hua Li, Cheng-Wei Wu, Vincent S. Tseng:
Efficient vertical mining of high utility quantitative itemsets. GrC 2014: 155-160 - [c10]Philippe Fournier-Viger, Cheng-Wei Wu, Souleymane Zida, Vincent S. Tseng:
FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning. ISMIS 2014: 83-92 - 2013
- [j1]Vincent S. Tseng, Bai-En Shie, Cheng-Wei Wu, Philip S. Yu:
Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases. IEEE Trans. Knowl. Data Eng. 25(8): 1772-1786 (2013) - [c9]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng:
Mining Maximal Sequential Patterns without Candidate Maintenance. ADMA (1) 2013: 169-180 - [c8]Cheng-Wei Wu, Yu-Feng Lin, Philip S. Yu, Vincent S. Tseng:
Mining high utility episodes in complex event sequences. KDD 2013: 536-544 - 2012
- [c7]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng:
Mining Top-K Association Rules. Canadian AI 2012: 61-73 - [c6]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Roger Nkambou:
Mining Sequential Rules Common to Several Sequences with the Window Size Constraint. Canadian AI 2012: 299-304 - [c5]Cheng-Wei Wu, Bai-En Shie, Vincent S. Tseng, Philip S. Yu:
Mining top-K high utility itemsets. KDD 2012: 78-86 - 2011
- [c4]Show-Jane Yen, Cheng-Wei Wu, Yue-Shi Lee, Vincent S. Tseng, Chaur-Heh Hsieh:
A fast algorithm for mining frequent closed itemsets over stream sliding window. FUZZ-IEEE 2011: 996-1002 - [c3]Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, Vincent S. Tseng:
Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets. ICDM 2011: 824-833 - 2010
- [c2]Vincent S. Tseng, Cheng-Wei Wu, Bai-En Shie, Philip S. Yu:
UP-Growth: an efficient algorithm for high utility itemset mining. KDD 2010: 253-262
2000 – 2009
- 2009
- [c1]Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin Lin:
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream. IEA/AIE 2009: 767-776
Coauthor Index
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