2024
Chao-Min Chang, Cheng-Te Li, Shou-De Lin."Unilateral boundary time series forecasting."Frontiers Big Data 7. PDF
2023
PF Guo, YH Chen, YD Tsai, SD Lin."Towards optimizing with large language models".arXiv preprint arXiv:2310.05204. PDF
Y Jiang, K Liao, S Lin, H Qiao, K Yu, C Yang, Y Chen."Self-supervised Multimodal Representation Learning for Product Identification and Retrieval".International Conference on Neural Information Processing, 579-594.
F Liawi, YD Tsai, GL Lu, SD Lin."PSGText: Stroke-Guided Scene Text Editing with PSP Module."arXiv preprint arXiv:2310.13366. PDF
YD Tsai, YC Tsai, BW Huang, CP Yang, SD Lin."AutoML-GPT: Large Language Model for AutoML."arXiv preprint arXiv:2309.01125. PDF
YT Lee, DY Wu, CC Yang, SD Lin."Exposing the Functionalities of Neurons for Gated Recurrent Unit Based Sequence-to-Sequence Model".arXiv preprint arXiv:2303.15072. PDF
YD Tsai, TH Tsai, SD Lin."Differential Good Arm Identification".arXiv preprint arXiv:2303.07154. PDF
2022
YD Tsai, C Liow, YS Siang, SD Lin:"Toward more generalized malicious URL detection models". PDF
BW Huang, KT Liao, CS Kao, SD Lin:"Environment Diversification with Multi-head Neural Network for Invariant Learning".Advances in Neural Information Processing Systems 35, 915-927. PDF
KT Liao, BW Huang, CC Yang, SD Lin:"Bayesian mixture variational autoencoders for multi-modal learning".Machine Learning 111 (12), 4329-4357. PDF
TC Shen, CP Yang, IEH Yen, SD Lin:"Towards ℓ1 Regularization for Deep Neural Networks: Model Sparsity Versus Task Difficulty".2022 IEEE 9th International Conference on Data Science and Advanced. PDF
Y Da Tsai, S De Lin."Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network".arXiv preprint arXiv:2202.08867. PDF
YD Tsai, SD Lin:"Fast Online Inference for Nonlinear Contextual Bandit Based on Generative Adversarial Network".Available at SSRN 4616034. PDF
2021
Chih-Te Lai, Cheng-Te Li, Shou-De Lin:Deep Energy Factorization Model for Demographic Prediction. ACM Trans. Intell. Syst. Technol. 12(1): 8:1-8:16 (2021). PDF
S Chen, SD Lin."EMI for information engineering students: A case study."Rethinking EMI, 42-60. PDF
2020
Shu-Kai Zhang, Cheng-Te Li, Shou-De Lin:A joint optimization framework for better community detection based on link prediction in social networks. Knowl. Inf. Syst. 62(11): 4277-4296 (2020). PDF
2019
Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin‧"Towards a more reliable privacy-preserving recommender system. "Inf. Sci. 482: 248-265 (2019). PDF
Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin "DeepRank: improving unsupervised node ranking via link discovery", Data Mining and Knowledge Discovery. PDF
Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin:Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification. Frontiers Big Data 2: 49. PDF
2018
Chin-chi Hsu, Mi-Yen Yeh and Shou-De Lin."A General Framework for Implicit and Explicit Social Recommendation."IEEE Transactions on Knowledge & Data Engineering. PDF
Cheng-Te Li, Shou-De Lin."Social Flocks: Simulating Crowds to Discover the Connection Between Spatial-Temporal Movements of People and Social Structure. "IEEE Trans. Comput. Social Systems 5(1): 33-45 (2018).PDF
2015
Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin. “On Team Formation with Expertise Query in Collaborative Social Networks”. Knowledge and Information Systems (KAIS), 2015. PDF
2014
Jing-Kai Lou,Fu-Min Wang,Chin-Hua Tsai,San-Chuan Hung,Perng-Hwa Kung,Shou-De Lin,Kuan-Ta Chen,and Chin-Laung Lei. A Social Diffusion Model with an Application on Election Simulation. The Scientific World Journal Volume 2014 (2014) PDF
Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. Measuring and Recommending Time-Sensitive Routes from Location-based Data. ACM Transactions on Intelligent Systems and Technology (TIST), Volume 5, Issue 3, 2014. PDF
Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin. “ Opinion Diffusion and Analysis on Social Networks. ” Encyclopedia of Social Network Analysis and Mining 2014. PDF
Wei-Sheng Chin, Yu-Chin Juan, Yong Zhuang, Felix Wu, Hsiao-Yu Tung, Tong Yu, Jui-Pin Wang, Cheng-Xia Chang, Chun-Pai Yang, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Yu-Chuan Su, Cheng-Kuang Wei, Tu-Chun Yin, Chun-Liang Li, Ting-Wei Lin, Cheng-Hao Tsai, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin “Effective String Processing and Matching for Author Disambiguation” Journal of Machine Learning Research. PDF
2013
Hung-Yi Lo, Shou-De Lin, and Hsin-Min Wang, “Generalized k-Labelsets Ensemble for Multi-Label and Cost-Sensitive Classification,” IEEE Transactions on Knowledge and Data Engineering. PDF
Yi-Chen Lo, Hung-Che Lai, Cheng-Te Li, and Shou-De Lin. “Mining and Generating Large-Scaled Social Networks via MapReduce”. Social Network Analysis and Mining (SNAM), 2013. PDF
Yi-Chen Lo, Jhao-Yin Li, Mi-Yen Yeh, Shou-De Lin, Jian Pei, “What Distinguish One from Its Peers in Social Networks?”, Data Mining and Knowledge Discovery: Volume 27, Issue 3 (2013), Page 396-420, November 2013. PDF
Yu-Chih Chen, Yu-Shi Lin, Yu-Chun Shen, Shou-De Lin “A Modified Random Walk Framework for Handling Negative Ratings and Generating Explanations” ACM Transactions on Intelligent Systems and Technology 2013 Vol. 4, No. 1. PDF
Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen and Shou-de Lin, “Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction”, IJCLCLP. PDF
Jung-Wei Chou, Min-Huang Chu, Yi-Lin Tsai, Yun Jin, Chen-Mou Cheng, Shou-De Lin,"An unsupervised learning model to perform side channel attack. Advances in Knowledge Discovery and Data Mining, 2013. PDF
2012
Cheng-Te Li, Tsung-Ting Kuo, Chien-Tung Ho, San-Chuan Hong, Wei-Shih Lin, and Shou-De Lin, “Modeling and Evaluating Information Propagation in a Microblogging Social Network.”, Social Network Analysis and Mining (SNAM), 2012. PDF
2011
Yi-Kuang Ko, Jing-Kai Lou, Cheng-Te Li, Shou-de Lin, and Shyh-Kang Jeng. “A Social Network Evolution Model Based on Seniority.” Social Network Analysis and Mining Journal. PDF
Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang, and Shou-De Lin. “Cost-sensitive Multi-label Learning for Audio Tag Annotation and Retrieval”, IEEE Transaction on Multimedia, 18(3), pp. 518-529, June 2011. PDF
Tsung-Ting Kuo, and Shou-De Lin.“Learning-Based Concept-Hierarchy Refinement through Exploiting Topology, Content and Social Information”, Information Sciences, 2011 (accepted). PDF
Before 2010
Anta Huang, Tsung-Ting Kuo, Ying-Chun Lai, Shou-De Lin. “Discovering Correction Rules for Auto Editing”, IJCLCLP, 2010. PDF
Shou-de Lin and Hans Chalupsky. “Discovering and Explaining Abnormal Nodes in Semantic Graphs.” IEEE Transactions on Knowledge and Data Engineering TKDE, Vol.20, No.8, 2008. PDF
Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Cho-Yi Hsiao, Anta Huang, Tsung-Ting Kuo, Wei-Chi Lai, Ming-Han Yang, Jung-Jung Yeh, Chun-Chao Yen, Shou-De Lin, "Learning to Improve Area-Under-FROC for Imbalanced Medical Data Classification Using an Ensemble Method" invited paper for ACM SIGKDD Explorations Vol10, Issue 2, 2008. PDF
Shou-de Lin and Kevin Knight. "Discovering the linear writing order of a two-dimensional ancient hieroglyphic script", in Artificial Intelligence v.170/4-5, Elsevier, 2006. One of the Top 25 hottest papers in Artificial Intelligence in 2006. PDF
Shou-de Lin and Craig Knoblock. "SERGEANT: A Framework for Building More Flexible Web Agents by Exploiting a Search Engine", in Journal of Web Intelligence and Agent Systems, v3(1), 2005. PDF
Shou-de Lin and Hans Chalupsky. "Using Unsupervised Link Discovery Methods to Find Interesting Facts and Connections in a Bibliography Dataset", selected to be the 2nd place for the open task in ACM KDDCup 2003, in KDD Explorations V5 Issue 2. PDF
Shou-de Lin and Hans Chalupsky. "Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis", in Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM'03). PDF
2024
Yun-Da Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin."Toward More Generalized Malicious URL Detection Models."AAAI 2024: 21628-21636.
Tzu-Hsien Tsai, Yun-Da Tsai, Shou-De Lin."lil'HDoC: An Algorithm for Good Arm Identification Under Small Threshold Gap." PAKDD (5) 2024: 78-89. PDF
Yun-Da Tsai, Shou-De Lin."Handling Concept Drift in Non-stationary Bandit Through Predicting Future Rewards."PAKDD (Workshops) 2024: 161-173.
2023
CC Li, CT Li, SD Lin."Learning Privacy-Preserving Embeddings for Image Data to Be Published".ACM Transactions on Intelligent Systems and Technology 14 (6), 1-26. PDF
C Liow, CT Li, CP Yang, SD Lin."Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness".Proceedings of the 32nd ACM International Conference on Information and Knowledge Management.4079-4083. PDF
K Singh, YC Tsai, CT Li, M Cha, SD Lin."GraphFC: Customs Fraud Detection with Label Scarcity.Proceedings of the 32nd ACM International Conference on Information and Knowledge Management".4829-4835. PDF
YC Tseng, ZM Chen, MY Yeh, SD Lin."UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledge Graph Attention Network".Pacific-Asia Conference on Knowledge Discovery and Data Mining, 53-65.
2022
YT Lee, CT Li, SD Lin:Conditional Sentence Rephrasing without Parallel Training Corpus.2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-1. PDF
CC Yang, CT Li, SD Lin:SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling.Pacific-Asia Conference on Knowledge Discovery and Data Mining, 499-510. PDF
2021
YD Tsai, CK Chen, SD Lin: Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus.Proceedings of the 30th ACM International Conference on Information & Knowledge Management.4165-4172. PDF
2020
Hong-You Chen, Sz-Han Yu, Shou-de Lin:Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs. ACL 2020: 2865-2871. PDF
Chin-Hui Chen, Yi-Fu Fu, Hsiao-Hua Cheng, Shou-De Lin:Unseen Filler Generalization In Attention-based Natural Language Reasoning Models. CogMI 2020: 42-51. PDF
Keng-Te Liao, Zhihong Shen, Chiyuan Huang, Chieh-Han Wu, Po-Chun Chen, Kuansan Wang, Shou-de Lin:Explainable and Sparse Representations of Academic Articles for Knowledge Exploration. COLING 2020: 6207-6216. PDF
Yu-Sheng Chou, Chien-Yao Wang, Shou-De Lin, Hong-Yuan Mark Liao:How Incompletely Segmented Information Affects Multi-Object Tracking and Segmentation (MOTS). ICIP 2020: 2086-2090
Keng-Te Liao, Cheng-Syuan Lee, Zhong-Yu Huang, Shou-de Lin:Explaining Word Embeddings via Disentangled Representation. AACL/IJCNLP 2020: 720-725. PDF
2019
Jun-Kun Wang, Chi-Jen Lu, Shou-De Lin."Online Linear Optimization with Sparsity Constraints." ALT 2019. PDF
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin."A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. AAMAS 2019." PDF
Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin."MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes." WWW 2019. PDF
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin:MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement. ICML 2019: 2031-2041. PDF
Hong-You Chen, Chin-Hua Hu, Leila Wehbe, Shou-De Lin:Self-Discriminative Learning for Unsupervised Document Embedding. NAACL-HLT (1) 2019: 2465-2474. PDF
Yu-Sheng Chou, Chien-Yao Wang, Ming-Chiao Chen, Shou-De Lin, Hong-Yuan Mark Liao:Dynamic Gallery for Real-Time Multi-Target Multi-Camera Tracking. AVSS 2019: 1-8. PDF
Sakura Yamaki, Shou-de Lin, Wataru Kameyama:Detection of Anomaly State Caused by Unexpected Accident using Data of Smart Card for Public Transportation. IEEE BigData 2019: 1693-1698. PDF
Yue Liu, Helena Lee, Palakorn Achananuparp, Ee-Peng Lim, Tzu-Ling Cheng, Shou-De Lin:Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions. PDH 2019: 11-20. PDF
Liang-Hsin Shen, Pei-Lun Tai, Chao-Chung Wu, Shou-De Lin:Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator. EMNLP/IJCNLP (3) 2019: 43-48. PDF
Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin:Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training. EMNLP/IJCNLP (1) 2019: 3577-3582. PDF
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin:MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement. ICML 2019: 2031-2041. PDF
Hong-You Chen, Chin-Hua Hu, Leila Wehbe, Shou-De Lin:Self-Discriminative Learning for Unsupervised Document Embedding. NAACL-HLT (1) 2019: 2465-2474. PDF
Chao-Chung Wu, Ruihua Song, Tetsuya Sakai, Wen-Feng Cheng, Xing Xie, Shou-De Lin:Evaluating Image-Inspired Poetry Generation. NLPCC (1) 2019: 539-551
Kung-Hsiang Huang, Yi-Fu Fu, Yi-Ting Lee, Tzong-Hann Lee, Yao-Chun Chan, Yi-Hui Lee, Shou-De Lin:A-HA: a hybrid approach for hotel recommendation. RecSys Challenge 2019: 4:1-4:5. PDF
Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin:MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes. WWW 2019: 470-479. PDF
2018
Ian En-Hsu Yen · Wei-Cheng Lee · Kai Zhong · Sung-En Chang · Pradeep Ravikumar · Shou-De Lin."MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization."NIPS 2018. PDF
Hong-You Chen, Cheng-Syuan Lee, Keng-Te Liao and Shou-de Lin."Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings." PDF
Yueh-Hua Wu, Shou-De Lin."A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents."AAAI 2018. PDF
FY Sun, YY Chang, YH Wu, SD Lin."Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping " PDF
Yian Chen, Xing Xie, Shou-De Lin, Arden Chiu."WSDM Cup 2018:Music Recommendation and Churn Prediction.” WSDM Cup 2018. PDF
Yu-Sheng Chou, Pai-Heng Hsiao, Shou-De Lin, Hong-Yuan Mark Liao."How Sampling Rate Affects Cross-Domain Transfer Learning for Video Description." ICASSP 2018. PDF
Fang-Yi Chang, Chun Chen, Shou-De Lin."An Empirical Study of Ladder Network and Multitask Learning on Energy Disaggregation in Taiwan." TAAI 2018. PDF
Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin‧"ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models." PDF
Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin‧"Attribute-aware Collaborative Filtering: Survey and Classification." PDF
2017
Chin-Chi Hsu, Yi-An Lai, Wen-Hao Chen, Ming-Han Feng, Shou-De Lin “Unsupervised Ranking using Graph Structures and Node Attributes” WSDM 2017. PDF
Ian En-Hsu Yen, Wei-Cheng Lee, Sung-En Chang, Arun Sai Suggala, Shou-De Lin, Pradeep Ravikumar‧"Latent Feature Lasso"ICML 2017. PDF
Hao-En Sung, Cheng-Kuan Chen, Han Xiao, Shou-De Lin."A Classification Model for Diverse and Noisy Labelers."PAKDD 2017. PDF
Jun-Kun Wang, Chi-Jen Lu, Shou-De Lin."Fast Algorithm for Logistic Bandit."AAAI 2017. PDF
Yi-An Lai ,Chin-Chi Hsu, Wen Hao Chen,Mi-Yen Yeh, Shou-De Lin." Preserving Proximity and Global Ranking for Network Embedding", NIPS 2017. PDF1 PDF2
Hao-Ying Liang, Yun-Tung Shieh, Addicam Sanjay, Shao-Wen Yang, Shou-De Lin."Ensemble-Based Location Tracking Using Passive RFID." DSAA 2017. PDF
Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin."A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation." DSAA 2017. PDF
Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin."PRUNE: Preserving Proximity and Global Ranking for Network Embedding. "NIPS 2017. PDF
2016
Chi-Ruei Li, Addicam Sanjay, Shao-Wen Yang, Shou-De Lin."Transfer learning for sequential recommendation model."TAAI 2016. PDF
Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin."A Study on Dispersion Measures for Core Vocabulary Compilation."IJCLCLP 21(1) (2016).
Ming-Han Feng, Kuan-Hou Chan, Huan-Yuan Chen, Ming-Feng Tsai, Mi-Yen Yeh, and Shou-De Lin. “An Efficient Solution to Reinforce Paper Ranking using Author/Venue/Citation Information – The Winner’s Solution for WSDM Cup 2016” in WSDM Cup Workshop, WSDM2016.
Yu-Yang Huang and Shou-De Lin “Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation”, EMNLP 2016. PDF
Chia-Hsin Ting, Hung-Yi Lo, Shou-De Lin “Transfer-Learning Based Model for Reciprocal Recommendation” PAKDD 2016.
Jun-Kun Wang, Shou-De Lin “Efficient Sampling-based ADMM for Distributed Data”, DSAA 2016. PDF
Jun-Kun Wang, Shou-De Lin “Parallel Least-Squares Policy Iteration”, DSAA 2016. PDF
2015
Guang-He Lee and Shou-De Lin. “LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda”, IEEE ICDM 2015. PDF
Hsun-Ping Hsieh, Shou-De Lin and Yu Zheng. “Inferring Air Quality for Station Location Recommendation Based on Urban Big Data.” ACM SIGKDD 2015. PDF
Su-Chene Lin, Shou-De Lin, and Ming-Syan Chen “A Learning-based Framework to handle Multi-round Multi-party influence maximization on social networks” ACM SIGKDD 2015. PDF
Hsun-Ping Hsieh, Cheng-Te Li and Shou-De Lin. “Estimating Potential Customers Anywhere and Anytime on Location-based Social Networks.” ECML/PKDD 2015. PDF
Ian E.H. Yen, Shan-Wei Lin, Shou-De Lin. "A Dual-Augmented Block Minimization Framework for Learning with Limited Memory."(to appear) In Advances in Neural Information Processing Systems (NIPS), 2015. PDF
Yen-Kai Wang, Wei-Ming Chen, Cheng-Te Li, and Shou-De Lin. "Identifying Smallest Unique Subgraphs in a Heterogeneous Social Network" IEEE International Conference on Big Data 2015. PDF
Chung-Yi Li, Wei-Lun Su, Todd G. McKenzie, Fu-Chun Hsu, Shou-De Lin,Phillip B. Gibbons, and Jane Yung-jen Hsu." Recommending Missing Sensor Values"IEEE International Conference on Big Data 2015. PDF
Chin-Chi Hsu, Perng-Hwa Kung, Mi-Yen Yeh, Shou-De Lin, and Phillip B.Gibbons."Bandwidth-Efficient Distributed k-Nearest-Neighbor Search with Dynamic Time Warping"IEEE International Conference on Big Data 2015. PDF
Han Xiao, Shou-De Lin, Mi-Yen Yeh, Phillip Gibbons and Claudia Eckert "Learning Better while Sending Less: Communication-Efficient Online Semi-Supervised Learning in Client-Server Settings." DSAA 2015. PDF
2014
En-Hsu Yen, Ting-Wei Lin, Shou-De Lin, Pradeep Ravikumar and Inderjit Dhillon. “Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space.” NIPS 2014. PDF
Jun-Kun Wang and Shou-de Lin "Robust Inverse Covariance Estimation under Noisy Measurements" , in the International Conference on Machine Learning (ICML) 2014. PDF & Source Code
Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo and Shou-De Lin, “Enriching Cold Start Personalized Language Model Using Social Network Information”, ACL 2014.PDF
Chia-Jen Lin, Tsung-Ting Kuo, and Shou-De Lin, “A Content-based Matrix Factorization Model for Recipe Recommendation”, PAKDD 2014. PDF
Chung-Yi Li and Shou-De Lin. “Matching Users and Items Across Domains to Improve the Recommendation Quality.” ACM SIGKDD 2014. PDF
Kuan-Wen Chen, Hsin-Mu Tsai, Chih-Hung Hsieh, Shou-De Lin, Chieh-Chih Wang, Shao-Wen Yang, Shao-Yi Chien, Chia-Han Lee, Yu-Chi Su, Chun-Ting Chou, Yuh-Jye Lee, Hsing-Kuo Pao, Ruey-Shan Guo, Chung-Jen Chen, Ming-Hsuan Yang, Bing-Yu Chen, and Yi-Ping Hung, “Connected Vehicle Safety Science, System, and Framework”, IEEE World Forum on Internet of Things (WF-IoT), 2014. PDF
Wei-Shih Lin, Tsung-Ting Kuo, Yu-Yang Huang, Wan-Chen Lu and Shou-De Lin. “A Transfer-Learning Approach to Exploit Noisy Information for Classification and Its Application on Sentiment Detection.” TAAI 2014. PDF
Yu-Yang Huang, Yu-An Yen, Ting-Wei Ku, Shou-De Lin, Wen-Tai Hsieh and Tsun Ku. “A Weight-Sharing Gaussian Process Model Using Web-Based Information for Audience Rating Prediction.” TAAI 2014. PDF
How Jing and Shou-De Lin. “Neural Conditional Energy Models for Multi-Label Classification”, ICDM 2014. PDF
Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. TripRouter: "A Time-Sensitive Route Recommender System", ICDM 2014. PDF
How Jing, An-Chun Liang, Shou-De Lin and Yu Tsao. “A Transfer Probabilistic Collective Factorization Model to Handle Sparse Data in Collaborative Filtering”, ICDM 2014. PDF
Cho-Yi Hsiao, Hung-Yi Lo, Tu-Chun Yin, and Shou-De Lin. Optimizing Specificity under Perfect Sensitivity for Medical Data Classification. International Conference on Data Science and Advanced Analytics, DSAA 2014 . PDF
Jung-Jung Yeh, Tsung-Ting Kuo, William Chen, and Shou-De Lin. Minimizing Expected Loss for Risk-Avoiding Reinforcement Learning. International Conference on Data Science and Advanced Analytics, DSAA 2014. PDF
Chin-Hua Tsai, Jing-Kai Lou, Wan-Chen Lu, and Shou-De Lin Exploiting Rank-Learning Models to Predict the Diffusion of Preferences on Social Networks in ASONAM 2014. PDF
Eric L. Lee, Jing-Kai Lou, Wei-Ming Chen, Yen-Chi Chen, Shou-De Lin, Yen-Sheng Chiang, and Kuan-Ta Chen. “A Fairness-Aware Loan Recommender Syetem for Microfinance Services.” Socialcom. August. 2014. PDF
Shun-Hsing Ou, Yu-Chen Lu, Jui-Pin Wang, Shao-Yi Chien, Shou-De Lin, Mi-Yen Yeh, Chia-Han Lee, Phillip Gibbons, V. Srinivasa Somayazulu and Yen-Kuang Chen. “Communication-Efficient Multi-view Keyframe Extraction in Distributed Video Sensors.” IEEE VCIP. December. 2014. PDF
2013
Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-de Lin, Hsuan-Tien Lin, Chih-Jen Lin “Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013” KDD Cup 2013 Workshop (track 1, 1st place). PDF
Jung-Wei Chou, Yi-Lin Tsai, Min-Huang Chu, Shou-De Lin, Yun Jin, and Chen-Mou Cheng. “Exploiting Machine Learning Techniques to Perform Side Channel Attack”.PAKDD 2013. PDF
Cheng-Lun Yang, Perng-Hwa Kungy, Cheng-Te Li, Chun-An Chen, Shou-De Lin.“ Sampling Heterogeneous Networks”.ICDM 2013. PDF
Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, and Phillip B. Gibbons. “Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems”. IEEE ICDM 2013. PDF
Ian E.H. Yen, Chun-Fu Chang, Ting-Wei Lin, Shan-Wei Lin, Shou-De Lin, “Indexed Block Coordinate Descent for Large-Scale Linear Classification with Limited Memory”, ACM SIGKDD 2013. PDF
Tsung-Ting Kuo, Rui Yan, Yu-Yang Huang, Perng-Hwa Kung, Shou-De Lin, “Unsupervised Link Prediction Using Aggregative Statistics on Heterogeneous Social Networks”, ACM SIGKDD 2013. PDF
Cheng-Lun Yang, Perng-Hwa Kung, Chun-An Chen, Shou-De Lin, “Semantically Sampling in Heterogeneous Social Networks”, WWW 2013. PDF
Yu-Chun Shen, Tsung-Ting Kuo, I-Ning Yeh, Tzu-Ting Chen, Shou-De Lin, “Exploiting Temporal Information in a Two-stage Classification Framework for Content-based Depression Detection”, PAKDD 2013. PDF
Jing-Kai Lou, Fu-Min Wang, Chin-Hua Tsai, San-Chuan Hung, Perng-Hwa Kung, and Shou-De Lin, “Modeling the Diffusion of Preferences On Social Networks”, SIAM International Conference on Data Mining 2013. PDF
Rui Yan, Han Jiang, Mirella Lapata, Shou-De Lin, Xueqiang Lv, Xiaoming Li.“i, Poet: Automatic Chinese Poetry Composition through a Generative Summarization Framework under Constrained Optimization. ”IJCAI 2013. PDF
Rui Yan, Han Jiang, Mirella Lapata, Shou-De Lin, Xueqiang Lv, Xiaoming Li. “Semantic v.s. Positions: Utilizing Balanced Proximity in Language Model Smoothing for Information Retrieval. ” IJCNLP 2013. PDF
2012
En-Hsu Yen, Nanyun Peng, Po-Wei Wang, Shou-de Lin, “On Convergence Rate of Concave-Convex Procedure”, NIPS Optimization Workshop 2012. PDF
Tsung-Hsien Chiang, Hung-Yi Lo, and Shou-de Lin, A Ranking-based KNN Approach for Multi-Label Classification, accepted to appear in to Asia Conference on Machine Learning (ACML 2012). PDF
Jung-Wei Chou, Shou-De Lin and Chen-Mou Cheng , “On the Effectiveness of using State-of-the-art Machine Learning Techniques to Launch Cryptographic Distinguishing Attacks”. 5th ACM Workshop on Artificial Intelligence and Security (AISEC 2012). PDF
Min-Huang Chu, Wen-Yu Chen, Shou-De Lin. “A Learning-based Framework to Utilize E-HowNet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions”. TAAI 2012. PDF
Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen and Shou-de Lin, “Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction”, ROCLING 2012. PDF
Po-Tzu Chang, Yen-Chieh Huang, Cheng-Lun Yang, Shou-De Lin, Pu-Jen Cheng. “Learning-Based Time-Sensitive Re-Ranking for Web Search.” SIGIR 2012 . PDF
Hun-Hsuan Chen, Yan-Bin Ciou, Shou-De Lin. “Information Propagation Game: a Tool to Acquire Human Playing Data for Multi-Player Influence Maximization on Social Networks.” KDD 2012. PDF
Hung-Che Lai, Cheng-Te Li, Yi-Chen Lo, and Shou-De Lin. “Exploiting and Evaluating MapReduce for Large-Scale Graph Mining.” ASONAM 2012. PDF
Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. “Exploiting Large-Scale Check-in Data to Recommend Time-Sensitive Routes.” ACM SIGKDD International Workshop on Urban Computing (UrbComp'12). PDF
Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. “TripRec: Recommending Trip Routes from Large Scale Check-in Data.” WWW 2012. PDF
Hsun-Ping Hsieh, Cheng-Te Li, and Shou-De Lin. “Frequent Temporal Social Behavior Search in Information Networks.” WWW 2012. PDF
Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin. “Dynamic Selection of Activation Targets to Boost the Influence Spread in Social Networks.” WWW 2012. PDF
Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin, and Man-Kwan Shan. “Finding Influential Seed Successors in Social Networks.” WWW 2012. PDF
Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin. “Regional Subgraph Discovery in Social Networks.” WWW 2012. PDF
Cheng-Te Li, Shou-De Lin, and Man-Kwan Shan. “Influence Propagation and Maximization for Heterogeneous Social Networks.” WWW 2012. PDF
Cheng-Te Li, Hsun-Ping Hsieh, and Shou-De Lin. “CrowDiffuse: Information Diffusion over Crowds with Social Network.” ACM SIGGRAPH 2012. PDF
Cheng-Te Li and Shou-De Lin. “EvaPlanner: An Evacuation Planner with Social-based Flocking Kinetics.” ACM KDD 2012. PDF
Cheng-Te Li and Shou-De Lin. “Centrality Analysis, Role-based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks.” IEEE SocialCom 2012. PDF
Kuan-Wei Wu, Chun-Sung Ferng, Chia-Hua Ho, An-Chun Liang, Chun-Heng Huang, Wei-Yuan Shen, Jyun-Yu Jiang, Ming-Hao Yang, Ting-Wei Lin, Ching-Pei Lee, Perng-Hwa Kung, Chin-En Wang, Ting-Wei Ku, Chun-Yen Ho, Yi-Shu Tai, I-Kuei Chen, Wei-Lun Huang, Che-Ping Chou, Tse-Ju Lin, Han-Jay Yang, Yen-Kai Wang, Cheng-Te Li, Shou-De Lin and Hsuan-Tien Lin. “A Two-Stage Ensemble of Diverse Models for Advertisement Ranking in KDD Cup 2012.” ACM KDD Cup 2012 Workshop, 2012. PDF
Yi-Chen Lo, Cheng-Te Li, and Shou-De Lin. “Parallelizing Preferential Attachment Models for Generating Large-Scale Social Networks that Cannot Fit into Memory.” IEEE SocialCom 2012. PDF
Wan-Yu Lin, Nanyun Peng, Chun-Chao Yen, Shou-De Lin. “Online Plagiarism Detection Through Exploiting Lexical, Syntactic, and Semantic Information.” ACL 2012. PDF
Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, and Wei-Fen Lin. “Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks.” ACL 2012. PDF
Hung-Yi Lo, Shou-De Lin, and Hsin-Min Wang, “Generalized k-Labelset Ensemble for Multi-label Classification,” in IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan, March 2012. PDF
Liang-Chieh Chen, Tsung-Ting Kuo, Wei-Chi Lai, Shou-De Lin, Chi-Hung Tsai, “Prediction-Based Outlier Detection with Explanations.”, FFDM 2012. PDF
Wan-Yu Lin, Nanyun Peng, Chun-Chao Yen, Shou-de Lin. “Online Plagiarized Detection Through Exploiting Lexical, Syntax, and Semantic Information. ” ACL (System Demonstrations) 2012. PDF
2011
Hsun-Ping Hsieh, Cheng-Te Li , and Shou-De Lin. “BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data.” IEEE International Conference on Data Mining (ICDM'11). Demo Paper. PDF
Chien-Tung Ho, Cheng-Te Li, and Shou-De Lin. “Modeling and Visualizing Information Propagation in a Micro-blogging Platform.” ASONAM 2011. PDF, Best Paper Award
Cheng-Te Li, Chien-Yuan Wang, Chien-Lin Tseng, and Shou-De Lin. “MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages.” ACL 2011 Demo Paper. PDF
Cheng-Te Li, Shou-De Lin, and Man-Kwan Shan. “Finding Influential Mediators in Social Networks.” WWW 2011 Poster Paper. PDF
Cheng-Te Li, Shou-De Lin, and Man-Kwan Shan. “Exploiting Endorsement Information and Social Influence for Item Recommendation.” ACM SIGIR 2011 Poster Paper. PDF
Cheng-Te Li, and Shou-De Lin. “Social Flocks: A Crowd Simulation Framework for Social Network Generation, Community Detection, and Collective Behavior Modeling.” ACM KDD 2011 Demo Paper. PDF
Cheng-Te Li, Man-Kwan Shan, and Shou-De Lin. “Context-based People Search in Labeled Social Networks.” ACM CIKM 2011. PDF
Hsiang-Fu Yu, Hung-Yi Lo, Hsun-Ping Hsieh, Jing-Kai Lou, Todd G. McKenzie, Jung-Wei Chou, Po-Han Chung, Chia-Hua Ho, Chun-Fu Chang, Yin-Hsuan Wei, Jui-Yu Weng, En-Syu Yan, Che-Wei Chang, Tsung-Ting Kuo, Yi-Chen Lo, Po Tzu Chang, Chieh Po, Chien-Yuan Wang, Yi-Hung Huang, Chen-Wei Hung, Yu-Xun Ruan, Yu-Shi Lin, Shou-de Lin, Hsuan-Tien Lin, Chih-Jen Lin “Feature engineering and classifier ensemble for KDD Cup 2010”, to appear in Journal of Machine Learning Research, Workshop and Conference Proceedings, 2011. PDF
Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang, Shou-De Lin. “Cost-sensitive Multi-label Learning for Audio Tag Annotation and Retrieval.” ICASSP 2011. PDF
Hung-Yi Lo, Shou-De Lin, Hsin-Min Wang. “Audio Tag Annotation and Retrieval Using Tag Count Information.” MMM (1) 2011: 339-349. PDF
Jui-Yu Weng, Cheng-Lun Yang, Bo-Nian Chen, Yen-Kai Wang, Shou-De Lin. “IMASS: An Intelligent Microblog Analysis and Summarization System.” ACL 2011 System Demonstrations. PDF
Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Shou-De Lin, Ting-Chun Peng, and Chia-Chun Shih “Assessing the Quality of Diffusion Models using Real-World Social Network Data”, TAAI 2011 (accepted as short paper). PDF
Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin and Kristina Lerman (2011), "Time-aware Ranking in Dynamic Citation Networks", In Proceedings of ICDM Workshop on Mining Communities and People Recommenders (COMMPER2011), Vancouver, Canada, 2011. PDF
Po-Lung Chen, Chen-Tse Tsai, Yao-Nan Chen, Ku-Chun Chou, Chun-Liang Li, Cheng-Hao Tsai, Kuan-Wei Wu, Yu-Cheng Chou, Chung-Yi Li, Wei-Shih Lin, Shu-Hao Yu, Rong-Bing Chiu, Chieh-Yen Lin, Chien-Chih Wang, Po-Wei Wang, Wei-Lun Su, Chen-Hung Wu, Tsung-Ting Kuo, Todd G. McKenzie, Ya-Hsuan Chang, Chun-Sung Ferng, Chia-Mau Ni, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin. “A Linear Ensemble of Individual and Blended Models for Music Rating Prediction”, Proceedings of KDD-Cup 2011 competition. PDF
Todd G. McKenzie, Chun-Sung Ferng, Yao-Nan Chen, Chun-Liang Li, Cheng-Hao Tsai, Kuan-Wei Wu, Ya-Hsuan Chang, Chung-Yi Li, Wei-Shih Lin, Shu-Hao Yu, Chieh-Yen Lin, Po-Wei Wang, Chia-Mau Ni, Wei-Lun Su, Tsung-Ting Kuo, Chen-Tse Tsai, Po-Lung Chen, Rong-Bing Chiu, Ku-Chun Chou, Yu-Cheng Chou, Chien-Chih Wang, Chen-Hung Wu, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin. “Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation”, Proceedings of KDD-Cup 2011 competition. PDF
Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin."Large-scale Heterogeneous Network Data Analysis"Proceedings of the 19th ACM international conference on Multimedia.
Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin. "PhotoFeel: feeling your photo collection with graph-based audiovisual flocking", Proceedings of the 19th ACM international conference on Multimedia. PDF
2010
Cheng-Te Li, and Shou-De Lin. “Communication Structure Discovery via Information Asymmetry in an Organizational Social Network.” IEEE/WIC/ACM International Conference on Web Intelligence (WI'10), 2010. PDF
Cheng-Te Li, Hung-Che Lai, Chien-Tung Ho, Chien-Lin Tseng, Shou-De Lin. “Pusic: musicalize microblog messages for summarization and exploration.” WWW 2010 Poster Paper. PDF
Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin. “SocioCrowd: A Social‐Network‐Based Framework for Crowd Simulation.” SIGGRAPH 2010 Poster Paper. PDF
Tsung-Hsien Chiang, Hung-Yi Lo, and Shou-De Lin, "A Ranking-based KNN Approach for Multilabel Classification", Workshop on Machine Learning Research in Taiwan: Challenges and Directions (MLRT@TAAI 2010). PDF
Jing-Kai Lou, Shou-De Lin, Kuan-Ta Chen, Chin-Laung Lei, ““What Can the Temporal Social Behavior Tell Us? An Estimation of Vertex-Betweenness Using Dynamic Social Informations”,” ASONAM 2010. PDF
Tsung-Ting Kuo, Jung-Jung Yeh, Chia-Jen Lin, Shou-De Lin.“Designing, Analyzing and Exploiting Stake-based Social Networks” Poster Paper in ASONAM 2010, Denmark. PDF
Tsung-Ting Kuo, Jung-Jung Yeh, Chia-Jen Lin, Shou-De Lin.“StakeNet: Devise, Study and Utilize Social Networks using Stakeholder Information”, 2010 Conference on Technologies and Applications of Artificial Intelligence. PDF
Anta Huang, Tsung-Ting Kuo, Ying-Chun Lai, Shou-De Lin.“Identifying Correction Rules for Auto Editing” in Proceedings of the 22nd Conference on Computational Linguistics and Speech Processing, 2010. PDF
Chun-Chao Yen, Liang-Chieh Chen, Shou-De Lin.“ Unsupervised Feature Selection: Minimize Information Redundancy of Features” 2010 International Conference on Technologies and Applications of Artificial Intelligence. PDF
2009
Cheng-Te Li, and Shou-De Lin. “Egocentric Information Abstraction for Heterogeneous Social Networks.” ASONAM 2009. PDF
H.-Y. Lo, K.-W. Chang, S.-T. Chen, T.-H. Chiang, C.-S. Ferng, C.-J. Hsieh, Y.-K. Ko, T.-T. Kuo, H.-C. Lai, K.-Y. Lin, C.-H. Wang, H.-F. Yu, C.-J. Lin, H.-T. Lin and S.-d. Lin. "An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naïve Bayes". Journal of Machine Learning Research, Workshop and Conference Proceedings, 2009. PDF
Before 2008
Shou-de Lin and Karin Verspoor. “A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation.” CICLing 2008. PDF
Shou-de Lin. "Modelling, Searching and Explaining Interesting Instances in Multi-Relational Network" .Ph.D. dissertation, 2006. PDF
Shou-de Lin. "Generating natural language description for paths in the semantic network, master final project report". USC Linguistics Department, 2006.
Shou-de Lin. "Interesting Instance Discovery in Multi-relational Data", in Proceedings of AAAI04 (Doctoral Consortium), San Jose. PDF
Shou-de Lin and Hans Chalupsky. "Issues of Verification for Unsupervised Discovery Systems". KDD04 Workshop on Link Discovery. PDF
Shou-de Lin and Craig Knoblock, "Exploiting a Search Engine to Develop More Flexible Web Agents", in Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence (WI 2003), Halifax, Canada. (Best Paper Award) PDF
Michael P. Wellman, Peter R. Wurman, Kevin O'Malley, Roshan Bangera, Shou-de Lin, Daniel Reeves, and William E. Walsh. "Designing the Market Game for a Trading Agent Competition". IEEE Internet Computing, 2001. PDF
2009~2013
Shou-De Lin, Mi-Yen Yeh, and Cheng-Te Li. “Sampling and Summarization for Social Networks.” PAKDD 2013.
Shou-De Lin, Mi-Yen Yeh, and Cheng-Te Li. “Sampling and Summarization for Social Networks.” SDM 2013.
Shou-De Lin, Hung-Yi Lo, and Cheng-Te Li. “Issues of Mining for Heterogeneous Social Networks.” PAKDD 2009.
2010
Cheng-Te Li, and Shou-De Lin “Mining Heterogeneous Social Networks for Egocentric Information Abstraction.” Lecture Notes in Social Networks, entitled:“Social Networks Analysis and Mining: Foundations and Applications”, Springer 2010. (book chapter) PDF
2008
Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Cho-Yi Hsiao, Anta Huang, Tsung-Ting Kuo, Wei-Chi Lai, Ming-Han Yang, Jung-Jung Yeh, Chun-Chao Yen, and Shou-De Lin, "Learning to Improve Area-UnderFROC for Imbalanced Medical Data Classification Using an Ensemble Method", SIGKDD Explorations, 10(2), pp.43-46, December 2008. (Invited Paper of KDD Cup 2008 Winner) PDF