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2020 – today
- 2024
[j52]Yun-Chien Tseng, Wei-Chen Liu, Wen-Chih Peng, Chih-Chieh Hung:
Predicting the Next Diseases Using Graph Neural Networks on Administrative Medical Datasets. J. Inf. Sci. Eng. 40(3): 631-648 (2024)- [j51]Yun-Chien Tseng, Chuan-Wei Kuo, Wen-Chih Peng, Chih-Chieh Hung:
al-BERT: a semi-supervised denoising technique for disease prediction. BMC Medical Informatics Decis. Mak. 24(1): 127 (2024) - [j50]Chiao-Ting Chen
, Chi Lee, Szu-Hao Huang, Wen-Chih Peng:
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning. ACM Trans. Intell. Syst. Technol. 15(2): 35:1-35:29 (2024) - [j49]Chuan-Wei Kuo, Bo-Yu Chen, Wen-Chih Peng, Chih-Chieh Hung, Hsin-Ning Su:
Correlation-aware Graph Data Augmentation with Implicit and Explicit Neighbors. ACM Trans. Knowl. Discov. Data 18(5): 109:1-109:23 (2024) - [c144]Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng:
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter. AAAI 2024: 30-37 - [c143]Cheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng:
Root Cause Analysis in Microservice Using Neural Granger Causal Discovery. AAAI 2024: 206-213 - [c142]Kuang-Da Wang, Wei-Yao Wang, Yu-Tse Chen, Yu-Heng Lin, Wen-Chih Peng:
The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract). AAAI 2024: 23679-23681 - [c141]Kuang-Da Wang, Yu-Tse Chen, Yu-Heng Lin, Wei-Yao Wang, Wen-Chih Peng:
The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games. AAAI 2024: 23844-23846 - [c140]Wei-Yao Wang, Yu-Chieh Chang, Wen-Chih Peng:
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection. EACL (1) 2024: 1531-1541 - [c139]Ching Chang, Chiao-Tung Chan, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen:
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series. ICDE 2024: 625-638 - [c138]Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng:
Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal. PKDD (4) 2024: 3-16 - [c137]Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng:
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion. ECML/PKDD (10) 2024: 348-364 - [i34]Wei-Yao Wang, Yu-Chieh Chang, Wen-Chih Peng:
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection. CoRR abs/2401.15509 (2024) - [i33]Cheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng:
Root Cause Analysis In Microservice Using Neural Granger Causal Discovery. CoRR abs/2402.01140 (2024) - [i32]Wei-Yao Wang, Wei-Wei Du, Derek Xu, Wei Wang, Wen-Chih Peng:
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data. CoRR abs/2402.01204 (2024) - [i31]Jun-En Ding, Phan Nguyen Minh Thao, Wen-Chih Peng, Jian-Zhe Wang, Chun-Cheng Chug, Min-Chen Hsieh, Yun-Chien Tseng, Ling Chen, Dongsheng Luo, Chi-Te Wang, Pei-fu Chen, Feng Liu, Fang-Ming Hung:
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data. CoRR abs/2403.04785 (2024) - [i30]Shang-Hsuan Chiang, Ming-Chih Lo, Lin-Wei Chao, Wen-Chih Peng:
Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-Tuning. CoRR abs/2403.10281 (2024) - [i29]Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng:
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion. CoRR abs/2403.12406 (2024) - [i28]Shang-Hsuan Chiang, Lin-Wei Chao, Kuang-Da Wang, Chih-Chuan Wang, Wen-Chih Peng:
BADGE: BADminton report Generation and Evaluation with LLM. CoRR abs/2406.18116 (2024) - [i27]Ting-Yun Ou, Ching Chang, Wen-Chih Peng:
COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing Data. CoRR abs/2407.12254 (2024) - [i26]Thao Minh Nguyen Phan, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng:
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. CoRR abs/2407.12309 (2024) - 2023
- [j48]Hui-Kuo Yang, Bing-Li Su, Wen-Chih Peng:
SADEM: An Effective Supervised Anomaly Detection Ensemble Model for Alert Account Detection. J. Inf. Sci. Eng. 39(5): 1185-1207 (2023) - [j47]Wei-Yao Wang, Teng-Fong Chan, Wen-Chih Peng, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan:
How Is the Stroke? Inferring Shot Influence in Badminton Matches via Long Short-term Dependencies. ACM Trans. Intell. Syst. Technol. 14(1): 7:1-7:22 (2023) - [j46]Guanyao Li, Shuhan Zhong, Xingdong Deng, Letian Xiang, S.-H. Gary Chan, Ruiyuan Li, Yang Liu, Ming Zhang, Chih-Chieh Hung, Wen-Chih Peng:
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting. IEEE Trans. Knowl. Data Eng. 35(11): 10967-10980 (2023) - [c136]Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng:
Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton. AAAI 2023: 6998-7005 - [c135]Li-Chun Huang, Nai-Zen Hseuh, Yen-Che Chien, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng:
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract). AAAI 2023: 16232-16233 - [c134]Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng:
DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal. CIKM 2023: 4552-4558 - [c133]Wei-Wei Du, Hong-Wei Wu, Wei-Yao Wang, Wen-Chih Peng:
Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. DE-FACTIFY@AAAI 2023 - [c132]Yu-Chien Tang, Kuang-Da Wang, Ting-Yun Ou, Wen-Chih Peng:
NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis. DE-FACTIFY@AAAI 2023 - [c131]Yu-Chien Tang, Wei-Yao Wang, An-Zi Yen, Wen-Chih Peng:
RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training. EMNLP (Findings) 2023: 10400-10412 - [c130]Wei-Yao Wang, Yung-Chang Huang, Tsi-Ui Ik, Wen-Chih Peng:
ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis. KDD 2023: 5126-5136 - [c129]Hsiang-Yi Liang, Wen-Chih Peng:
Host's Assistant: Leveraging Graph Neural Networks for Daily Room Rate Prediction on Online Accommodation Sites. TAAI (1) 2023: 358-370 - [e8]Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng:
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13935, Springer 2023, ISBN 978-3-031-33373-6 [contents] - [e7]Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng:
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13936, Springer 2023, ISBN 978-3-031-33376-7 [contents] - [e6]Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng:
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III. Lecture Notes in Computer Science 13937, Springer 2023, ISBN 978-3-031-33379-8 [contents] - [e5]Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng:
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 13938, Springer 2023, ISBN 978-3-031-33382-8 [contents] - [i25]Ching Chang, Cheng-Han Yeh, Wen-Chih Peng:
Detecting and Ranking Causal Anomalies in End-to-End Complex System. CoRR abs/2301.07281 (2023) - [i24]Yu-Chien Tang, Kuang-Da Wang, Ting-Yun Ou, Wen-Chih Peng:
NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis. CoRR abs/2302.06078 (2023) - [i23]Wei-Wei Du, Hong-Wei Wu, Wei-Yao Wang, Wen-Chih Peng:
Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. CoRR abs/2302.07740 (2023) - [i22]Wei-Yao Wang, Yung-Chang Huang, Tsi-Ui Ik, Wen-Chih Peng:
ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis. CoRR abs/2306.04948 (2023) - [i21]Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng:
ShuttleSet22: Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset. CoRR abs/2306.15664 (2023) - [i20]Ching Chang, Wen-Chih Peng, Tien-Fu Chen:
LLM4TS: Two-Stage Fine-Tuning for Time-Series Forecasting with Pre-Trained LLMs. CoRR abs/2308.08469 (2023) - [i19]Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng:
DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal. CoRR abs/2309.00855 (2023) - [i18]Yu-Chien Tang, Wei-Yao Wang, An-Zi Yen, Wen-Chih Peng:
RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training. CoRR abs/2310.09773 (2023) - [i17]Ching Chang, Chiao-Tung Chan, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen:
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series. CoRR abs/2312.04142 (2023) - [i16]Wei-Yao Wang, Wen-Chih Peng, Wei Wang, Philip S. Yu:
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. CoRR abs/2312.10942 (2023) - [i15]Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng:
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter. CoRR abs/2312.11553 (2023) - 2022
- [j45]Yun-Chien Tseng, Mu-Hua Yang, Yao-Chung Fan, Wen-Chih Peng, Chih-Chieh Hung:
Template-Based Headline Generator for Multiple Documents. IEEE Access 10: 46330-46341 (2022) - [j44]Li-Pin Xiao, Po-Ruey Lei, Wen-Chih Peng:
Hybrid Embedding of Multi-Behavior Network and Product-Content Knowledge Graph for Tourism Product Recommendation. J. Inf. Sci. Eng. 38(3): 547-570 (2022) - [j43]Yu Ting Wen, Hui-Kuo Yang, Wen-Chih Peng:
Mining Willing-to-Pay Behavior Patterns from Payment Datasets. ACM Trans. Intell. Syst. Technol. 13(1): 14:1-14:19 (2022) - [c128]Wei-Yao Wang, Wen-Chih Peng:
Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification (short paper). DE-FACTIFY@AAAI 2022 - [c127]Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng:
ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton. AAAI 2022: 4219-4227 - [c126]Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng:
Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework. CIKM Workshops 2022 - [c125]Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng:
RecFormer: personalized temporal-aware transformer for fair music recommendation. CIKM Workshops 2022 - [c124]Guanyao Li, Xiaofeng Wang, Gunarto Sindoro Njoo, Shuhan Zhong, S.-H. Gary Chan, Chih-Chieh Hung, Wen-Chih Peng:
A Data-Driven Spatial-Temporal Graph Neural Network for Docked Bike Prediction. ICDE 2022: 713-726 - [c123]Wei-Yao Wang, Yu-Chien Tang, Wei-Wei Du, Wen-Chih Peng:
NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media. LT-EDI 2022: 136-139 - [c122]Wei-Chen Liu, Chih-Chieh Hung, Wen-Chih Peng:
Exploring Graph Neural Network in Administrative Medical Dataset. TAAI 2022: 107-112 - [c121]Yu-Wun Tseng, Hui-Kuo Yang, Wei-Yao Wang, Wen-Chih Peng:
KAHAN: Knowledge-Aware Hierarchical Attention Network for Fake News detection on Social Media. WWW (Companion Volume) 2022: 868-875 - [i14]Guanyao Li, Shuhan Zhong, Letian Xiang, S.-H. Gary Chan, Ruiyuan Li, Chih-Chieh Hung, Wen-Chih Peng:
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting. CoRR abs/2201.00008 (2022) - [i13]Wei-Yao Wang, Wen-Chih Peng:
Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification. CoRR abs/2201.11664 (2022) - [i12]Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng:
Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework. CoRR abs/2210.16590 (2022) - [i11]Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng:
Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton. CoRR abs/2211.12217 (2022) - [i10]Li-Chun Huang, Nai-Zen Hseuh, Yen-Che Chien, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng:
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract). CoRR abs/2211.12234 (2022) - [i9]Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng:
Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal. CoRR abs/2212.12190 (2022) - 2021
- [c120]Po-Ruey Lei, Pei-Rong Yu, Wen-Chih Peng:
Learning for Prediction of Maritime Collision Avoidance Behavior from AIS Network. APNOMS 2021: 222-225 - [c119]Guanyao Li, Chih-Chieh Hung, Mengyun Liu, Linfei Pan, Wen-Chih Peng, S.-H. Gary Chan:
Spatial-Temporal Similarity for Trajectories with Location Noise and Sporadic Sampling. ICDE 2021: 1224-1235 - [c118]Wei-Yao Wang, Teng-Fong Chan, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan, Wen-Chih Peng:
Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches. ICDM 2021: 1397-1402 - [c117]Ken-Yu Lin, Roy Ka-Wei Lee, Wei Gao, Wen-Chih Peng:
Early Prediction of Hate Speech Propagation. ICDM (Workshops) 2021: 967-974 - [c116]Christian Nathaniel Purwanto, Joan Santoso, Po-Ruey Lei, Hui-Kuo Yang, Wen-Chih Peng:
FakeCLIP: Multimodal Fake Caption Detection with Mixed Languages for Explainable Visualization. TAAI 2021: 1-6 - [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] - [i8]Wei-Yao Wang, Teng-Fong Chan, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan, Wen-Chih Peng:
Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches. CoRR abs/2109.06431 (2021) - [i7]Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng:
ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton. CoRR abs/2112.01044 (2021) - 2020
- [c115]Yu-Hsiu Chen, Pin-Yu Chen, Hong-Han Shuai, Wen-Chih Peng:
TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization. AAAI 2020: 7538-7545 - [c114]Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku, Wen-Chih Peng:
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation. AAAI 2020: 8910-8917 - [c113]Hao-Yi Chih, Yao-Chung Fan, Wen-Chih Peng, Hai-Yuan Kuo:
Product Quality Prediction with Convolutional Encoder-Decoder Architecture and Transfer Learning. CIKM 2020: 195-204 - [c112]Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou:
Sequence-Aware Factorization Machines for Temporal Predictive Analytics. ICDE 2020: 1405-1416 - [c111]Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng:
Probabilistic Value Selection for Space Efficient Model. MDM 2020: 148-157 - [c110]Li-Pin Xiao, Po-Ruey Lei, Wen-Chih Peng:
Personalized Travel Product Recommendation Based on Embedding of Multi-Behavior Interaction Network and Product Information Knowledge Graph. TAAI 2020: 125-130 - [i6]Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku, Wen-Chih Peng:
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation. CoRR abs/2002.02095 (2020) - [i5]Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng:
Probabilistic Value Selection for Space Efficient Model. CoRR abs/2007.04641 (2020)
2010 – 2019
- 2019
- [c109]Tzu-Han Hsu, Chih-Chuan Wang, Yuan-Hsiang Lin, Ching-Hsuan Chen, Nyan Ping Ju, Tsì-Uí Ik, Wen-Chih Peng, Yu-Shuen Wang, Yu-Chee Tseng, Jiun-Long Huang, Yu-Tai Ching:
CoachAI: A Project for Microscopic Badminton Match Data Collection and Tactical Analysis. APNOMS 2019: 1-4 - [c108]Po-Ruey Lei, Pei-Rong Yu, Wen-Chih Peng:
A Framework for Maritime Anti-Collision Pattern Discovery from AIS Network. APNOMS 2019: 1-4 - [c107]Yu-Chuan Huang, I-No Liao, Ching-Hsuan Chen, Tsì-Uí Ik, Wen-Chih Peng:
TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications. AVSS 2019: 1-8 - [c106]Yunghui Chu, Hui-Kuo Yang, Wen-Chih Peng:
Predicting Online User Purchase Behavior Based on Browsing History. ICDE Workshops 2019: 185-192 - [c105]Hongxu Chen, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li:
Exploiting Centrality Information with Graph Convolutions for Network Representation Learning. ICDE 2019: 590-601 - [c104]Cheng-Han Yeh, Yao-Chung Fan, Wen-Chih Peng:
Interpretable Multi-task Learning for Product Quality Prediction with Attention Mechanism. ICDE 2019: 1910-1921 - [c103]Xiaochuan Gou, Chih-Chieh Hung, Guanyao Li, Wen-Chih Peng:
PTGF: Public Transport General Framework for Identifying Transport Modes Based on Cellular Data. MDM 2019: 563-568 - [i4]Yu-Chuan Huang, I-No Liao, Ching-Hsuan Chen, Tsi-Ui Ik, Wen-Chih Peng:
TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications. CoRR abs/1907.03698 (2019) - [i3]Tzu-Han Hsu, Ching-Hsuan Chen, Nyan Ping Ju, Tsi-Ui Ik, Wen-Chih Peng, Chih-Chuan Wang, Yu-Shuen Wang, Yuan-Hsiang Lin, Yu-Chee Tseng, Jiun-Long Huang, Yu-Tai Ching:
CoachAI: A Project for Microscopic Badminton Match Data Collection and Tactical Analysis. CoRR abs/1907.12888 (2019) - [i2]Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou:
Sequence-Aware Factorization Machines for Temporal Predictive Analytics. CoRR abs/1911.02752 (2019) - 2018
- [j42]Gunarto Sindoro Njoo, Kuo-Wei Hsu, Wen-Chih Peng:
Distinguishing friends from strangers in location-based social networks using co-location. Pervasive Mob. Comput. 50: 114-123 (2018) - [c102]Po-Ruey Lei, Li-Pin Xiao, Yu Ting Wen, Wen-Chih Peng:
CAPatternMiner: Mining Ship Collision Avoidance Behavior from AIS Trajectory Data. CIKM 2018: 1875-1878 - [c101]Paul Tsao, Tsi-Ui Ik, Guan-Wen Chen, Wen-Chih Peng:
Stitching Aerial Images for Vehicle Positioning and Tracking. ICDM Workshops 2018: 616-623 - [c100]Yu Ting Wen, Wen-Chih Peng, Hong-Han Shuai:
Maximizing Social Influence on Target Users. PAKDD (3) 2018: 701-712 - [c99]Yu Ting Wen, Pei-Wen Yeh, Tzu-Hao Tsai, Wen-Chih Peng, Hong-Han Shuai:
Customer Purchase Behavior Prediction from Payment Datasets. WSDM 2018: 628-636 - [c98]Hong-Han Shuai, Yueh-Hsue Li, Chun-Chieh Feng, Wen-Chih Peng:
Four-Dimensional Shopping Mall: Sequential Group Willingness Optimization under VR Environments. WWW (Companion Volume) 2018: 131-134 - 2017
- [j41]Chien-Cheng Chen, Kuo-Wei Hsu, Wen-Chih Peng:
Exploring Communication Behaviors of Users to Target Potential Users in Mobile Social Networks. ACM Trans. Intell. Syst. Technol. 8(6): 79:1-79:22 (2017) - [j40]Yu Ting Wen, Jinyoung Yeo, Wen-Chih Peng, Seung-won Hwang:
Efficient Keyword-Aware Representative Travel Route Recommendation. IEEE Trans. Knowl. Data Eng. 29(8): 1639-1652 (2017) - [c97]Po-Ruey Lei, Tzu-Hao Tsai, Yu Ting Wen, Wen-Chih Peng:
A framework for discovering maritime traffic conflict from AIS network. APNOMS 2017: 1-6 - [c96]Wen-Yuan Zhu, Chun-Hao Wang, Wen-Yueh Shih, Wen-Chih Peng, Jiun-Long Huang:
SEM: A Softmax-based Ensemble Model for CTR estimation in Real-Time Bidding advertising. BigComp 2017: 5-12 - [c95]Wen-Yuan Zhu, Wen-Yueh Shih, Ying-Hsuan Lee, Wen-Chih Peng, Jiun-Long Huang:
A gamma-based regression for winning price estimation in real-time bidding advertising. IEEE BigData 2017: 1610-1619 - [c94]Guanyao Li, Chun-Jie Chen, Sheng-Yun Huang, Ai-Jou Chou, Xiaochuan Gou, Wen-Chih Peng, Chih-Wei Yi:
Public Transportation Mode Detection from Cellular Data. CIKM 2017: 2499-2502 - [c93]Yu-Chuan Huang, Chih-Wei Yi, Wen-Chih Peng, Hsing-Chen Lin, Ching-Yu Huang:
A study on multiple wearable sensors for activity recognition. DSC 2017: 449-452 - [c92]Po-Ruey Lei, Tzu-Hao Tsai, Yu Ting Wen, Wen-Chih Peng:
ConflictFinder: Mining Maritime Traffic Conflict from Massive Ship Trajectories. MDM 2017: 356-357 - [c91]Gunarto Sindoro Njoo, Min-Chia Kao, Kuo-Wei Hsu, Wen-Chih Peng:
Exploring Check-in Data to Infer Social Ties in Location Based Social Networks. PAKDD (1) 2017: 460-471 - [c90]Yu Ting Wen, Yi Yuan Fan, Wen-Chih Peng:
Mining of Location-Based Social Networks for Spatio-Temporal Social Influence. PAKDD (1) 2017: 799-810 - [c89]Hector Ordonez Vivancos, Guanyao Li, Wen-Chih Peng:
Estimating the Fine-Grained PM2.5 for Airbox Sensor Fault Detection in Taiwan. TAAI 2017: 54-57 - [e3]Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun:
Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings. Lecture Notes in Computer Science 10604, Springer 2017, ISBN 978-3-319-69178-7 [contents] - 2016
- [j39]Chien-Cheng Chen, Meng-Fen Chiang, Wen-Chih Peng:
Mining and clustering mobility evolution patterns from social media for urban informatics. Knowl. Inf. Syst. 47(2): 381-403 (2016) - [j38]Wen-Yuan Zhu, Wen-Chih Peng, Ling-Jyh Chen, Kai Zheng, Xiaofang Zhou:
Exploiting Viral Marketing for Location Promotion in Location-Based Social Networks. ACM Trans. Knowl. Discov. Data 11(2): 25:1-25:28 (2016) - [j37]Ling Chen, Xue Li, Quan Z. Sheng, Wen-Chih Peng, John Bennett, Hsiao-Yun Hu, Nicole Huang:
Mining Health Examination Records - A Graph-Based Approach. IEEE Trans. Knowl. Data Eng. 28(9): 2423-2437 (2016) - [c88]Po-Ruey Lei, Tzu-Hao Tsai, Wen-Chih Peng:
Discovering Maritime Traffic Route from AIS network. APNOMS 2016: 1-6 - [c87]