Clustering on Demand for Multiple Data Streams. - Bi-Ru Dai; Jen-Wei Huang; Mi-Yen Yeh; Ming-Syan Chen (ICDM, 2004)

On subspace clustering with density consciousness. - Yi-Hong Chu; Jen-Wei Huang; Kun-Ta Chuang; Ming-Syan Chen (CIKM, 2006)

On progressive sequential pattern mining. - Jen-Wei Huang; Chi-Yao Tseng; Jian Chih Ou; Ming-Syan Chen (CIKM, 2006)

Scheduling dependent items in data broadcasting environments. - Hao-Ping Hung; Jen-Wei Huang; Jung-Long Huang; Ming-Syan Chen (SAC, 2006)

Adaptive Clustering for Multiple Evolving Streams. - Bi-Ru Dai; Jen-Wei Huang; Mi-Yen Yeh; Ming-Syan Chen (IEEE Trans. Knowl. Data Eng., 2006)

ProMail: Using Progressive Email Social Network for Spam Detection. - Chi-Yao Tseng; Jen-Wei Huang; Ming-Syan Chen (PAKDD, 2007)

Twain: Two-end association miner with precise frequent exhibition periods. - Jen-Wei Huang; Bi-Ru Dai; Ming-Syan Chen (ACM Trans. Knowl. Discov. Data, 2007)

Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration. - Bogdan Alexe; Michael N. Gubanov; Mauricio A. Hernández; C. T. Howard Ho; Jen-Wei Huang; Yannis Katsis; Lucian Popa 001; Barna Saha; Ioana Stanoi (BIRTE, 2008)

A General Model for Sequential Pattern Mining with a Progressive Database. - Jen-Wei Huang; Chi-Yao Tseng; Jian Chih Ou; Ming-Syan Chen (IEEE Trans. Knowl. Data Eng., 2008)

Hardware-Enhanced Association Rule Mining with Hashing and Pipelining. - Ying-Hsiang Wen; Jen-Wei Huang; Ming-Syan Chen (IEEE Trans. Knowl. Data Eng., 2008)

DPSP: Distributed Progressive Sequential Pattern Mining on the Cloud. - Jen-Wei Huang; Su-Chen Lin; Ming-Syan Chen (PAKDD (2), 2010)

Density Conscious Subspace Clustering for High-Dimensional Data. - Yi-Hong Chu; Jen-Wei Huang; Kun-Ta Chuang; De-Nian Yang; Ming-Syan Chen (IEEE Trans. Knowl. Data Eng., 2010)

PISAR: Progressive image search and recommendation system by auto-interpretation and user behavior. - Jen-Wei Huang; Chi-Yao Tseng; Meng-Cheng Chen; Ming-Syan Chen (SMC, 2011)

Discovering Unknown But Interesting Items on Personal Social Network. - Juang-Lin Duan; Shashi Prasad; Jen-Wei Huang (PAKDD (2), 2012)

Improving the quality of tags using state transition on progressive image search and recommendation system. - Wen-Hau Du; Jer-Wei Rau; Jen-Wei Huang; Yung-Sheng Chen (SMC, 2012)

Privacy Preserving Frequent Pattern Mining on Multi-cloud Environment. - Chih-Hua Tai; Jen-Wei Huang; Meng-Hao Chung (ISBAST, 2013)

CUT: community update and tracking in dynamic social networks. - Hao-Shang Ma; Jen-Wei Huang (SNAKDD, 2013)

The photodiodes based on thin film organic electronic device. - Jen-Wei Huang; Tsung-Sheng Sheu; Jin-Cherng Shyu (NEMS, 2013)

Mining frequent Time Interval-based Event with duration patterns from temporal database. - Kuan-Ying Chen; Bijay Prasad Jaysawal; Jen-Wei Huang; Yong-Bin Wu (DSAA, 2014)

Efficient building identification using structural and spatial information on mobile devices. - Kai-Hsiang Chen; Chi-Ruo Wu; Yue-Lin Yang; Jen-Wei Huang; Tsung-Yi Ho (ICME Workshops, 2014)

Mining Frequent Progressive Usage Patterns Across Multiple Mobile Broadcasting Channels. - Bijay Prasad Jaysawal; Jen-Wei Huang (PAKDD Workshops, 2014)

A Novel Spatial Tag Cloud Using Multi-Level Clustering. - Jen-Wei Huang; Kuan-Ying Chen; Yuan-Chang Chen; Kai-Ning Yang; I-Shyan Hwang; Wei-Che Huang (J. Inf. Sci. Eng., 2014)

Multi-state Open Opinion Model based on Positive and Negative Social Influences. - Yuan-Chang Chen; Hao-Shang Ma; Jen-Wei Huang (ASONAM, 2015)

Reconstructing Dynamic Social Network by Choosing Local Maximum Degree Substitute. - Shiou-Chi Li; Yu-Hao Ke; Fa-Yuan Liu; Jen-Wei Huang (ASONAM, 2015)

Reducing Communication and Merging Overheads for Distributed Clustering Algorithms on the Cloud. - Chun-Chieh Chen; Tze-Yu Chen; Jen-Wei Huang; Ming-Syan Chen (CCBD, 2015)

The analysis of user behavior and relationship on Bulletin Board System. - Chun-Chieh Chang; Chi-Lin Chen; Chi-Wei Lin; Jen-Wei Huang; Chu-Sing Yang (TAAI, 2015)

A study of mobile advertisement recommendation using real big data from AdLocus. - Ting-Jia Wu; Shih-Hau Fang; Yong-Bin Wu; Cheng-Tse Wu; Jen-Wei Huang; Yu Tsao 001 (GCCE, 2016)

Image Retrieval Using Color-Aware Tag on Progressive Image Search and Recommendation System. - Shih-Yu Ku; Kai-Hsiang Chen; Jen-Wei Huang; Yu Tsao 001 (MMM (2), 2016)

Transportation Modes Classification Using Sensors on Smartphones. - Shih-Hau Fang; Hao-Hsiang Liao; Yu-Xiang Fei; Kai-Hsiang Chen; Jen-Wei Huang; Yu-Ding Lu; Yu Tsao 001 (Sensors, 2016)

Subsequence Search Considering Duration and Relations of Events in Time Interval-Based Events Sequences. - Cheng-Wei Yang; Bijay Prasad Jaysawal; Jen-Wei Huang (DSAA, 2017)

Multi-dependent Latent Dirichlet Allocation. - Wei-Cheng Hsin; Jen-Wei Huang (TAAI, 2017)

Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement. - Ryandhimas E. Zezario; Jen-Wei Huang; Xugang Lu; Yu Tsao 001; Hsin-Te Hwang; Hsin-Min Wang (APSIPA, 2018)

DNA: General Deterministic Network Adaptive Framework for Multi-Round Multi-Party Influence Maximization. - Tzu-Hsin Yang; Hao-Shang Ma; Jen-Wei Huang (DSAA, 2018)

Adaptive Deep Learning-Based Air Quality Prediction Model Using the Most Relevant Spatial-Temporal Relations. - Ping-Wei Soh; Jia-Wei Chang; Jen-Wei Huang (IEEE Access, 2018)

Email security level classification of imbalanced data using artificial neural network: The real case in a world-leading enterprise. - Jen-Wei Huang; Chia-Wen Chiang; Jia-Wei Chang (Eng. Appl. Artif. Intell., 2018)

User Intention-Based Document Summarization on Heterogeneous Sentence Networks. - Hsiu-Yi Wang; Jia-Wei Chang; Jen-Wei Huang (DASFAA (2), 2019)

Social Influence Prediction by a Community-Based Convolutional Neural Network. - Shao Hsuan Tai; Hao-Shang Ma; Jen-Wei Huang (JSAI, 2019)

IDR: Positive Influence Maximization and Negative Influence Minimization Under Competitive Linear Threshold Model. - Chi-Lung Lee; Cheng-En Sung; Hao-Shang Ma; Jen-Wei Huang (MDM, 2019)

CLOSE: Local Community Detection by LOcal Structure Expansion in a Complex Network. - Zhi-Jia Jian; Hao-Shang Ma; Jen-Wei Huang (TAAI, 2019)

Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks. - Chang-Le Liu; Szu-Wei Fu; You-Jin Lee; Yu Tsao 001; Jen-Wei Huang; Hsin-Min Wang (CoRR, 2019)

Mining frequent and top-K High Utility Time Interval-based Events with Duration patterns. - Jen-Wei Huang; Bijay Prasad Jaysawal; Kuan-Ying Chen; Yong-Bin Wu (Knowl. Inf. Syst., 2019)

DMHUPS: Discovering Multiple High Utility Patterns Simultaneously. - Bijay Prasad Jaysawal; Jen-Wei Huang (Knowl. Inf. Syst., 2019)

Crowdsourced object-labeling based on a game-based mobile application. - Wen-Yen Tseng; Kai-Hsiang Chen; Jen-Wei Huang (Multim. Tools Appl., 2019)

Unknown but interesting recommendation using social penetration. - Jen-Wei Huang; Hao-Shang Ma; Chih-Chin Chung; Zhi-Jia Jian (Soft Comput., 2019)

PSP-AMS: Progressive Mining of Sequential Patterns Across Multiple Streams. - Bijay Prasad Jaysawal; Jen-Wei Huang (ACM Trans. Knowl. Discov. Data, 2019)

User Preference Translation Model for Recommendation System with Item Influence Diffusion Embedding. - Hao-Shang Ma; Jen-Wei Huang (ASONAM, 2020)

Positive Influence Maximization and Negative Influence Minimization in Signed Networks under Competitive Independent Cascade Model. - Cheng-En Sung; Hao-Shang Ma; Jen-Wei Huang (DSAA, 2020)

SOHUPDS: a single-pass one-phase algorithm for mining high utility patterns over a data stream. - Bijay Prasad Jaysawal; Jen-Wei Huang (SAC, 2020)

On Mining Progressive Positive and Negative Sequential Patterns Simultaneously. - Jen-Wei Huang; Yong-Bin Wu; Bijay Prasad Jaysawal (J. Inf. Sci. Eng., 2020)

TADILOF: Time Aware Density-Based Incremental Local Outlier Detection in Data Streams. - Jen-Wei Huang; Meng-Xun Zhong; Bijay Prasad Jaysawal (Sensors, 2020)

Multichannel Speech Enhancement by Raw Waveform-Mapping Using Fully Convolutional Networks. - Chang-Le Liu; Sze-Wei Fu; You-Jin Li; Jen-Wei Huang; Hsin-Min Wang; Yu Tsao 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Forming a team of cost-effective and well-collaborated experts in social networks based on hierarchical skill model. - Fa-Yuan Liu; Shiou-Chi Li; Jen-Wei Huang (ASONAM, 2021)

User Preference Translation Model for Next Top-k Items Recommendation with Social Relations. - Hao-Shang Ma; Jen-Wei Huang (DASFAA (3), 2021)

Ensemble2N et: Learning from Ensemble Teacher Networks via Knowledge Transfer. - Chih-Lin Chang; Shiou-Chi Li; Jen-Wei Huang (SSCI, 2021)

HAEE: Question Classification Using Hierarchical Intra-Attention Enhancement Encoder. - Jen-Wei Wang; Kai-Hsiang Chen; Jen-Wei Huang (TAAI, 2021)

Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously. - Jen-Wei Huang; Bijay Prasad Jaysawal; Cheng-Chung Wang (Data Min. Knowl. Discov., 2021)

Incorporating land-use regression into machine learning algorithms in estimating the spatial-temporal variation of carbon monoxide in Taiwan. - 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 (Environ. Model. Softw., 2021)

Finding Possible Promoter Binding Sites in DNA Sequences by Sequential Patterns Mining With Specific Numbers of Gaps. - Yu-Hao Ke; Jen-Wei Huang; Wei-Chen Lin; Bijay Prasad Jaysawal (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Attention Mechanism indicating Item Novelty for Sequential Recommendation. - Li-Chia Wang; Hao-Shang Ma; Jen-Wei Huang (ASONAM, 2022)

Unsupervised Concept Drift Detection Using Dynamic Crucial Feature Distribution Test in Data Streams. - Yen-Ning Wan; Bijay Prasad Jaysawal; Jen-Wei Huang (TAAI, 2022)

Greedy-Based Precise Expansion Algorithm for Customized Group Team Formation Problem. - Pei-Yi Yeh; Shiou-Chi Li; Hao-Shang Ma; Jen-Wei Huang (TAAI, 2022)

Multiscale Control Chart Pattern Recognition Using Histogram-Based Representation of Value and Zero-Crossing Rate. - Jen-Wei Huang; Peng-Jung Lee; Bijay Prasad Jaysawal (IEEE Trans. Ind. Electron., 2022)

Improving Crowd Density Estimation by Fusing Aerial Images and Radio Signals. - Kai-Wei Yang; Yen-Yun Huang; Jen-Wei Huang; Ya-Rou Hsu; Chang-Lin Wan; Hong-Han Shuai; Li-Chun Wang 001; Wen-Huang Cheng (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Natural Language Inference by Integrating Deep and Shallow Representations with Knowledge Distillation. - Pei-Chang Chen; Hao-Shang Ma; Jen-Wei Huang (DSAA, 2023)

ISGP: Influence Maximization on Dynamic Social Networks Using Influence SubGraph Propagation. - Wan-Jhen Wu; Shiou-Chi Li; Jen-Wei Huang (DSAA, 2023)

Predicting Value-at-Risk with Risk-aware Mutual Attention Mechanism. - Chien-Shuo Wu; Shiou-Chi Li; Jen-Wei Huang (ICDM (Workshops), 2023)

A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability. - Li-Yang Tseng; Tzu-Ling Lin; Hong-Han Shuai; Jen-Wei Huang; Wen-Whei Chang (ISMIR, 2023)

GraphSAGE-Based Spammer Detection Using Social Attribute Relationship. - Bing-Yun Jin; Shiou-Chi Li; Jen-Wei Huang (TAAI (1), 2023)

AI-Explained (Part I) [Guest Editorial]. - Pau-Choo Chung; Alexander Dockhorn; Jen-Wei Huang (IEEE Comput. Intell. Mag., 2023)

Geometrically-Aware Dual Transformer Encoding Visual and Textual Features for Image Captioning. - Yu-Ling Chang; Hao-Shang Ma; Shiou-Chi Li; Jen-Wei Huang (PAKDD (5), 2024)

Guest Editorial: AI-eXplained (Part II) [Guest Editorial]. - Pau-Choo Chung; Alexander Dockhorn; Jen-Wei Huang (IEEE Comput. Intell. Mag., 2024)

Let the Information Fly: Reconstructing Social Network After a Node Deleted. - Shiou-Chi Li; Jen-Wei Huang (IEEE Trans. Knowl. Data Eng., 2024)

Stock Prediction by Signal Decomposition-Driven Multivariate Feature Extractor and Executor-Based Mixture of Experts. - Cheng-En Tsai; Shiou-Chi Li; Jen-Wei Huang (CiFer Companion, 2025)

SPLGAN-TTS: Learning Semantic and Prosody to Enhance the Text-to-Speech Quality of Lightweight GAN Models. - Ding-Chi Chang; Shiou-Chi Li; Jen-Wei Huang (MMM (4), 2025)

SOHUPDS+: An Efficient One-phase Algorithm for Mining High Utility Patterns over a Data Stream. - Bijay Prasad Jaysawal; Jen-Wei Huang (ACM Trans. Knowl. Discov. Data, 2025)