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2020 – today
- 2024
- [j25]Pau-Choo Chung, Alexander Dockhorn, Jen-Wei Huang:
Guest Editorial: AI-eXplained (Part II) [Guest Editorial]. IEEE Comput. Intell. Mag. 19(1): 76-77 (2024) - [j24]Shiou-Chi Li, Jen-Wei Huang:
Let the Information Fly: Reconstructing Social Network After a Node Deleted. IEEE Trans. Knowl. Data Eng. 36(3): 1198-1209 (2024) - [c46]Yu-Ling Chang, Hao-Shang Ma, Shiou-Chi Li, Jen-Wei Huang:
Geometrically-Aware Dual Transformer Encoding Visual and Textual Features for Image Captioning. PAKDD (5) 2024: 15-27 - [e10]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14645, Springer 2024, ISBN 978-981-97-2241-9 [contents] - [e9]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14646, Springer 2024, ISBN 978-981-97-2252-5 [contents] - [e8]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14647, Springer 2024, ISBN 978-981-97-2261-7 [contents] - [e7]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14648, Springer 2024, ISBN 978-981-97-2240-2 [contents] - [e6]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14649, Springer 2024, ISBN 978-981-97-2264-8 [contents] - [e5]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14650, Springer 2024, ISBN 978-981-97-2265-5 [contents] - [i2]Li-Yang Tseng, Tzu-Ling Lin, Hong-Han Shuai, Jen-Wei Huang, Wen-Whei Chang:
A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability. CoRR abs/2405.12847 (2024) - 2023
- [j23]Pau-Choo Chung, Alexander Dockhorn, Jen-Wei Huang:
AI-Explained (Part I) [Guest Editorial]. IEEE Comput. Intell. Mag. 18(4): 58-59 (2023) - [c45]Pei-Chang Chen, Hao-Shang Ma, Jen-Wei Huang:
Natural Language Inference by Integrating Deep and Shallow Representations with Knowledge Distillation. DSAA 2023: 1-10 - [c44]Wan-Jhen Wu, Shiou-Chi Li, Jen-Wei Huang:
ISGP: Influence Maximization on Dynamic Social Networks Using Influence SubGraph Propagation. DSAA 2023: 1-10 - [c43]Chien-Shuo Wu, Shiou-Chi Li, Jen-Wei Huang:
Predicting Value-at-Risk with Risk-aware Mutual Attention Mechanism. ICDM (Workshops) 2023: 485-489 - [c42]Li-Yang Tseng, Tzu-Ling Lin, Hong-Han Shuai, Jen-Wei Huang, Wen-Whei Chang:
A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability. ISMIR 2023: 174-181 - [c41]Bing-Yun Jin, Shiou-Chi Li, Jen-Wei Huang:
GraphSAGE-Based Spammer Detection Using Social Attribute Relationship. TAAI (1) 2023: 300-313 - 2022
- [j22]Jen-Wei Huang, Peng-Jung Lee, Bijay Prasad Jaysawal:
Multiscale Control Chart Pattern Recognition Using Histogram-Based Representation of Value and Zero-Crossing Rate. IEEE Trans. Ind. Electron. 69(1): 684-693 (2022) - [j21]Kai-Wei Yang, Yen-Yun Huang, Jen-Wei Huang, Ya-Rou Hsu, Chang-Lin Wan, Hong-Han Shuai, Li-Chun Wang, Wen-Huang Cheng:
Improving Crowd Density Estimation by Fusing Aerial Images and Radio Signals. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 84:1-84:23 (2022) - [c40]Li-Chia Wang, Hao-Shang Ma, Jen-Wei Huang:
Attention Mechanism indicating Item Novelty for Sequential Recommendation. ASONAM 2022: 176-180 - [c39]Pei-Yi Yeh, Shiou-Chi Li, Hao-Shang Ma, Jen-Wei Huang:
Greedy-Based Precise Expansion Algorithm for Customized Group Team Formation Problem. TAAI 2022: 119-124 - [c38]Yen-Ning Wan, Bijay Prasad Jaysawal, Jen-Wei Huang:
Unsupervised Concept Drift Detection Using Dynamic Crucial Feature Distribution Test in Data Streams. TAAI 2022: 137-142 - 2021
- [j20]Jen-Wei Huang, Bijay Prasad Jaysawal, Cheng-Chung Wang:
Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously. Data Min. Knowl. Discov. 35(4): 1225-1257 (2021) - [j19]Pei-Yi Wong, Chin-Yu Hsu, Jhao-Yi Wu, Tee-Ann Teo, Jen-Wei Huang, How-Ran Guo, Huey-Jen Su, Chih-Da Wu, John D. Spengler:
Incorporating land-use regression into machine learning algorithms in estimating the spatial-temporal variation of carbon monoxide in Taiwan. Environ. Model. Softw. 139: 104996 (2021) - [j18]Yu-Hao Ke, Jen-Wei Huang, Wei-Chen Lin, Bijay Prasad Jaysawal:
Finding Possible Promoter Binding Sites in DNA Sequences by Sequential Patterns Mining With Specific Numbers of Gaps. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2459-2470 (2021) - [c37]Fa-Yuan Liu, Shiou-Chi Li, Jen-Wei Huang:
Forming a team of cost-effective and well-collaborated experts in social networks based on hierarchical skill model. ASONAM 2021: 134-137 - [c36]Hao-Shang Ma, Jen-Wei Huang:
User Preference Translation Model for Next Top-k Items Recommendation with Social Relations. DASFAA (3) 2021: 652-655 - [c35]Chih-Lin Chang, Shiou-Chi Li, Jen-Wei Huang:
Ensemble2N et: Learning from Ensemble Teacher Networks via Knowledge Transfer. SSCI 2021: 1-6 - [c34]Jen-Wei Wang, Kai-Hsiang Chen, Jen-Wei Huang:
HAEE: Question Classification Using Hierarchical Intra-Attention Enhancement Encoder. TAAI 2021: 125-130 - [e4]Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Chia-Hui Chang, Jianliang Xu, Wen-Chih Peng, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications. DASFAA 2021 International Workshops - BDQM, GDMA, MLDLDSA, MobiSocial, and MUST, Taipei, Taiwan, April 11-14, 2021, Proceedings. Lecture Notes in Computer Science 12680, Springer 2021, ISBN 978-3-030-73215-8 [contents] - [e3]Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12681, Springer 2021, ISBN 978-3-030-73193-9 [contents] - [e2]Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12682, Springer 2021, ISBN 978-3-030-73196-0 [contents] - [e1]Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12683, Springer 2021, ISBN 978-3-030-73199-1 [contents] - 2020
- [j17]Jen-Wei Huang, Yong-Bin Wu, Bijay Prasad Jaysawal:
On Mining Progressive Positive and Negative Sequential Patterns Simultaneously. J. Inf. Sci. Eng. 36(1): 145-169 (2020) - [j16]Jen-Wei Huang, Meng-Xun Zhong, Bijay Prasad Jaysawal:
TADILOF: Time Aware Density-Based Incremental Local Outlier Detection in Data Streams. Sensors 20(20): 5829 (2020) - [j15]Chang-Le Liu, Sze-Wei Fu, You-Jin Li, Jen-Wei Huang, Hsin-Min Wang, Yu Tsao:
Multichannel Speech Enhancement by Raw Waveform-Mapping Using Fully Convolutional Networks. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1888-1900 (2020) - [c33]Hao-Shang Ma, Jen-Wei Huang:
User Preference Translation Model for Recommendation System with Item Influence Diffusion Embedding. ASONAM 2020: 50-54 - [c32]Cheng-En Sung, Hao-Shang Ma, Jen-Wei Huang:
Positive Influence Maximization and Negative Influence Minimization in Signed Networks under Competitive Independent Cascade Model. DSAA 2020: 236-244 - [c31]Bijay Prasad Jaysawal, Jen-Wei Huang:
SOHUPDS: a single-pass one-phase algorithm for mining high utility patterns over a data stream. SAC 2020: 490-497
2010 – 2019
- 2019
- [j14]Bijay Prasad Jaysawal, Jen-Wei Huang:
DMHUPS: Discovering Multiple High Utility Patterns Simultaneously. Knowl. Inf. Syst. 59(2): 337-359 (2019) - [j13]Jen-Wei Huang, Bijay Prasad Jaysawal, Kuan-Ying Chen, Yong-Bin Wu:
Mining frequent and top-K High Utility Time Interval-based Events with Duration patterns. Knowl. Inf. Syst. 61(3): 1331-1359 (2019) - [j12]Wen-Yen Tseng, Kai-Hsiang Chen, Jen-Wei Huang:
Crowdsourced object-labeling based on a game-based mobile application. Multim. Tools Appl. 78(13): 18137-18168 (2019) - [j11]Jen-Wei Huang, Hao-Shang Ma, Chih-Chin Chung, Zhi-Jia Jian:
Unknown but interesting recommendation using social penetration. Soft Comput. 23(16): 7249-7262 (2019) - [j10]Bijay Prasad Jaysawal, Jen-Wei Huang:
PSP-AMS: Progressive Mining of Sequential Patterns Across Multiple Streams. ACM Trans. Knowl. Discov. Data 13(1): 5:1-5:23 (2019) - [c30]Hsiu-Yi Wang, Jia-Wei Chang, Jen-Wei Huang:
User Intention-Based Document Summarization on Heterogeneous Sentence Networks. DASFAA (2) 2019: 572-587 - [c29]Shao Hsuan Tai, Hao-Shang Ma, Jen-Wei Huang:
Social Influence Prediction by a Community-Based Convolutional Neural Network. JSAI 2019: 203-214 - [c28]Chi-Lung Lee, Cheng-En Sung, Hao-Shang Ma, Jen-Wei Huang:
IDR: Positive Influence Maximization and Negative Influence Minimization Under Competitive Linear Threshold Model. MDM 2019: 501-506 - [c27]Zhi-Jia Jian, Hao-Shang Ma, Jen-Wei Huang:
CLOSE: Local Community Detection by LOcal Structure Expansion in a Complex Network. TAAI 2019: 1-6 - [i1]Chang-Le Liu, Szu-Wei Fu, You-Jin Lee, Yu Tsao, Jen-Wei Huang, Hsin-Min Wang:
Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks. CoRR abs/1909.11909 (2019) - 2018
- [j9]Ping-Wei Soh, Jia-Wei Chang, Jen-Wei Huang:
Adaptive Deep Learning-Based Air Quality Prediction Model Using the Most Relevant Spatial-Temporal Relations. IEEE Access 6: 38186-38199 (2018) - [j8]Jen-Wei Huang, Chia-Wen Chiang, Jia-Wei Chang:
Email security level classification of imbalanced data using artificial neural network: The real case in a world-leading enterprise. Eng. Appl. Artif. Intell. 75: 11-21 (2018) - [c26]Ryandhimas E. Zezario, Jen-Wei Huang, Xugang Lu, Yu Tsao, Hsin-Te Hwang, Hsin-Min Wang:
Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement. APSIPA 2018: 373-377 - [c25]Tzu-Hsin Yang, Hao-Shang Ma, Jen-Wei Huang:
DNA: General Deterministic Network Adaptive Framework for Multi-Round Multi-Party Influence Maximization. DSAA 2018: 273-282 - 2017
- [c24]Cheng-Wei Yang, Bijay Prasad Jaysawal, Jen-Wei Huang:
Subsequence Search Considering Duration and Relations of Events in Time Interval-Based Events Sequences. DSAA 2017: 293-302 - [c23]Wei-Cheng Hsin, Jen-Wei Huang:
Multi-dependent Latent Dirichlet Allocation. TAAI 2017: 154-159 - 2016
- [j7]Shih-Hau Fang, Hao-Hsiang Liao, Yu-Xiang Fei, Kai-Hsiang Chen, Jen-Wei Huang, Yu-Ding Lu, Yu Tsao:
Transportation Modes Classification Using Sensors on Smartphones. Sensors 16(8): 1324 (2016) - [c22]Ting-Jia Wu, Shih-Hau Fang, Yong-Bin Wu, Cheng-Tse Wu, Jen-Wei Huang, Yu Tsao:
A study of mobile advertisement recommendation using real big data from AdLocus. GCCE 2016: 1-2 - [c21]Shih-Yu Ku, Kai-Hsiang Chen, Jen-Wei Huang, Yu Tsao:
Image Retrieval Using Color-Aware Tag on Progressive Image Search and Recommendation System. MMM (2) 2016: 162-173 - 2015
- [c20]Yuan-Chang Chen, Hao-Shang Ma, Jen-Wei Huang:
Multi-state Open Opinion Model based on Positive and Negative Social Influences. ASONAM 2015: 170-177 - [c19]Shiou-Chi Li, Yu-Hao Ke, Fa-Yuan Liu, Jen-Wei Huang:
Reconstructing Dynamic Social Network by Choosing Local Maximum Degree Substitute. ASONAM 2015: 1604-1605 - [c18]Chun-Chieh Chen, Tze-Yu Chen, Jen-Wei Huang, Ming-Syan Chen:
Reducing Communication and Merging Overheads for Distributed Clustering Algorithms on the Cloud. CCBD 2015: 41-48 - [c17]Chun-Chieh Chang, Chi-Lin Chen, Chi-Wei Lin, Jen-Wei Huang, Chu-Sing Yang:
The analysis of user behavior and relationship on Bulletin Board System. TAAI 2015: 381-387 - 2014
- [j6]Jen-Wei Huang, Kuan-Ying Chen, Yuan-Chang Chen, Kai-Ning Yang, I-Shyan Hwang, Wei-Che Huang:
A Novel Spatial Tag Cloud Using Multi-Level Clustering. J. Inf. Sci. Eng. 30(3): 687-700 (2014) - [c16]Kuan-Ying Chen, Bijay Prasad Jaysawal, Jen-Wei Huang, Yong-Bin Wu:
Mining frequent Time Interval-based Event with duration patterns from temporal database. DSAA 2014: 548-554 - [c15]Kai-Hsiang Chen, Chi-Ruo Wu, Yue-Lin Yang, Jen-Wei Huang, Tsung-Yi Ho:
Efficient building identification using structural and spatial information on mobile devices. ICME Workshops 2014: 1-5 - [c14]Bijay Prasad Jaysawal, Jen-Wei Huang:
Mining Frequent Progressive Usage Patterns Across Multiple Mobile Broadcasting Channels. PAKDD Workshops 2014: 149-155 - 2013
- [c13]Chih-Hua Tai, Jen-Wei Huang, Meng-Hao Chung:
Privacy Preserving Frequent Pattern Mining on Multi-cloud Environment. ISBAST 2013: 235-240 - [c12]Hao-Shang Ma, Jen-Wei Huang:
CUT: community update and tracking in dynamic social networks. SNAKDD 2013: 6:1-6:8 - [c11]Jen-Wei Huang, Tsung-Sheng Sheu, Jin-Cherng Shyu:
The photodiodes based on thin film organic electronic device. NEMS 2013: 1068-1071 - 2012
- [c10]Juang-Lin Duan, Shashi Prasad, Jen-Wei Huang:
Discovering Unknown But Interesting Items on Personal Social Network. PAKDD (2) 2012: 145-156 - [c9]Wen-Hau Du, Jer-Wei Rau, Jen-Wei Huang, Yung-Sheng Chen:
Improving the quality of tags using state transition on progressive image search and recommendation system. SMC 2012: 3233-3238 - 2011
- [c8]Jen-Wei Huang, Chi-Yao Tseng, Meng-Cheng Chen, Ming-Syan Chen:
PISAR: Progressive image search and recommendation system by auto-interpretation and user behavior. SMC 2011: 1442-1447 - 2010
- [j5]Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang, De-Nian Yang, Ming-Syan Chen:
Density Conscious Subspace Clustering for High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 22(1): 16-30 (2010) - [c7]Jen-Wei Huang, Su-Chen Lin, Ming-Syan Chen:
DPSP: Distributed Progressive Sequential Pattern Mining on the Cloud. PAKDD (2) 2010: 27-34
2000 – 2009
- 2008
- [j4]Ying-Hsiang Wen, Jen-Wei Huang, Ming-Syan Chen:
Hardware-Enhanced Association Rule Mining with Hashing and Pipelining. IEEE Trans. Knowl. Data Eng. 20(6): 784-795 (2008) - [j3]Jen-Wei Huang, Chi-Yao Tseng, Jian Chih Ou, Ming-Syan Chen:
A General Model for Sequential Pattern Mining with a Progressive Database. IEEE Trans. Knowl. Data Eng. 20(9): 1153-1167 (2008) - [c6]Bogdan Alexe, Michael N. Gubanov, Mauricio A. Hernández, C. T. Howard Ho, Jen-Wei Huang, Yannis Katsis, Lucian Popa, Barna Saha, Ioana Stanoi:
Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration. BIRTE 2008: 108-121 - 2007
- [j2]Jen-Wei Huang, Bi-Ru Dai, Ming-Syan Chen:
Twain: Two-end association miner with precise frequent exhibition periods. ACM Trans. Knowl. Discov. Data 1(2): 8 (2007) - [c5]Chi-Yao Tseng, Jen-Wei Huang, Ming-Syan Chen:
ProMail: Using Progressive Email Social Network for Spam Detection. PAKDD 2007: 833-840 - 2006
- [j1]Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen:
Adaptive Clustering for Multiple Evolving Streams. IEEE Trans. Knowl. Data Eng. 18(9): 1166-1180 (2006) - [c4]Yi-Hong Chu, Jen-Wei Huang, Kun-Ta Chuang, Ming-Syan Chen:
On subspace clustering with density consciousness. CIKM 2006: 804-805 - [c3]Jen-Wei Huang, Chi-Yao Tseng, Jian Chih Ou, Ming-Syan Chen:
On progressive sequential pattern mining. CIKM 2006: 850-851 - [c2]Hao-Ping Hung, Jen-Wei Huang, Jung-Long Huang, Ming-Syan Chen:
Scheduling dependent items in data broadcasting environments. SAC 2006: 1177-1181 - 2004
- [c1]Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen:
Clustering on Demand for Multiple Data Streams. ICDM 2004: 367-370
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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