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ORCIDShou-De Lin
Shou-de Lin – Shoude Lin – 林守德
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- affiliation: National Taiwan University
- unicode name: 林守德
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2020 – today
- 2024
[j32]Chao-Min Chang, Cheng-Te Li, Shou-De Lin:
Unilateral boundary time series forecasting. Frontiers Big Data 7 (2024)- [j31]Yu-Tung Pai
, Nien-En Sun, Cheng-Te Li, Shou-de Lin:
Incremental Data Drifting: Evaluation Metrics, Data Generation, and Approach Comparison. ACM Trans. Intell. Syst. Technol. 15(4): 71:1-71:26 (2024) - [c137]Yun-Da Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin:
Toward More Generalized Malicious URL Detection Models. AAAI 2024: 21628-21636 - [c136]Yu-Hsiang Huang, Yu-Che Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin:
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries. ACL (1) 2024: 4193-4205 - [c135]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 - [c134]Yun-Da Tsai, Shou-De Lin:
Handling Concept Drift in Non-stationary Bandit Through Predicting Future Rewards. PAKDD (Workshops) 2024: 161-173 - [i27]Tzu-Hsien Tsai, Yun-Da Tsai, Shou-De Lin:
lil'HDoC: An Algorithm for Good Arm Identification under Small Threshold Gap. CoRR abs/2401.15879 (2024) - [i26]Yun-Da Tsai, Ting-Yu Yen, Pei-Fu Guo, Zhe-Yan Li, Shou-De Lin:
Text-centric Alignment for Multi-Modality Learning. CoRR abs/2402.08086 (2024) - [i25]Yun-Ang Wu, Yun-Da Tsai, Shou-De Lin:
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem. CoRR abs/2403.06230 (2024) - [i24]Yu-Hsiang Huang, Yu-Che Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin:
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries. CoRR abs/2406.10280 (2024) - [i23]Ting-Yu Yen, Yun-Da Tsai, Keng-Te Liao, Shou-De Lin:
Enhance the Robustness of Text-Centric Multimodal Alignments. CoRR abs/2407.05036 (2024) - [i22]Kerui Zhu, Bo-Wei Huang, Bowen Jin, Yizhu Jiao, Ming Zhong, Kevin Chang, Shou-De Lin, Jiawei Han:
Investigating Instruction Tuning Large Language Models on Graphs. CoRR abs/2408.05457 (2024) - [i21]Yun-Da Tsai, Ting-Yu Yen, Keng-Te Liao, Shou-De Lin:
Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting. CoRR abs/2408.09798 (2024) - [i20]Pei-Fu Guo, Yun-Da Tsai, Shou-De Lin:
Benchmarking Large Language Model Uncertainty for Prompt Optimization. CoRR abs/2409.10044 (2024) - 2023
- [j30]Chu-Chen Li, Cheng-Te Li, Shou-De Lin:
Learning Privacy-Preserving Embeddings for Image Data to Be Published. ACM Trans. Intell. Syst. Technol. 14(6): 105:1-105:26 (2023) - [c133]Cayon Liow, Cheng-Te Li, Chun-Pai Yang, Shou-De Lin:
Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness. CIKM 2023: 4079-4083 - [c132]Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin:
GraphFC: Customs Fraud Detection with Label Scarcity. CIKM 2023: 4829-4835 - [c131]Yiquan Jiang, Kengte Liao, Shoude Lin, Hongming Qiao, Kefeng Yu, Chengwei Yang, Yinqi Chen:
Self-supervised Multimodal Representation Learning for Product Identification and Retrieval. ICONIP (11) 2023: 579-594 - [c130]Yen-Ching Tseng, Zu-Mu Chen, Mi-Yen Yeh, Shou-De Lin:
UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledge Graph Attention Network. PAKDD (2) 2023: 53-65 - [i19]Yun-Da Tsai, Tzu-Hsien Tsai, Shou-De Lin:
Differential Good Arm Identification. CoRR abs/2303.07154 (2023) - [i18]Yi-Ting Lee, Da-Yi Wu, Chih-Chun Yang, Shou-De Lin:
Exposing the Functionalities of Neurons for Gated Recurrent Unit Based Sequence-to-Sequence Model. CoRR abs/2303.15072 (2023) - [i17]Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin:
GraphFC: Customs Fraud Detection with Label Scarcity. CoRR abs/2305.11377 (2023) - [i16]Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao, Shou-De Lin:
Environment Diversification with Multi-head Neural Network for Invariant Learning. CoRR abs/2308.08778 (2023) - [i15]Yun-Da Tsai, Yu-Che Tsai, Bo-Wei Huang, Chun-Pai Yang, Shou-De Lin:
AutoML-GPT: Large Language Model for AutoML. CoRR abs/2309.01125 (2023) - [i14]Pei-Fu Guo, Ying-Hsuan Chen, Yun-Da Tsai, Shou-De Lin:
Towards Optimizing with Large Language Models. CoRR abs/2310.05204 (2023) - [i13]Felix Liawi, Yun-Da Tsai, Guan-Lun Lu, Shou-De Lin:
PSGText: Stroke-Guided Scene Text Editing with PSP Module. CoRR abs/2310.13366 (2023) - [i12]Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin:
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. CoRR abs/2311.00612 (2023) - 2022
- [j29]Keng-Te Liao, Bo-Wei Huang, Chih-Chun Yang, Shou-De Lin:
Bayesian mixture variational autoencoders for multi-modal learning. Mach. Learn. 111(12): 4329-4357 (2022) - [c129]Ta-Chun Shen, Chun-Pai Yang, Ian En-Hsu Yen, Shou-De Lin:
Towards ℓ1 Regularization for Deep Neural Networks: Model Sparsity Versus Task Difficulty. DSAA 2022: 1-9 - [c128]Yen-Ting Lee, Cheng-Te Li, Shou-De Lin:
Conditional Sentence Rephrasing without Parallel Training Corpus. ICME Workshops 2022: 1 - [c127]Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao, Shou-De Lin:
Environment Diversification with Multi-head Neural Network for Invariant Learning. NeurIPS 2022 - [c126]Chih-Chun Yang, Cheng-Te Li, Shou-De Lin:
SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling. PAKDD (2) 2022: 499-510 - [i11]Yun-Da Tsai, Shou-De Lin:
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network. CoRR abs/2202.08867 (2022) - [i10]Yun-Da Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin:
Toward more generalized Malicious URL Detection Models. CoRR abs/2202.10027 (2022) - 2021
- [j28]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) - [c125]Yun-Da Tsai, Cheng-Kuan Chen, Shou-De Lin:
Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus. CIKM 2021: 4165-4172 - 2020
- [j27]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) - [c124]Hong-You Chen, Sz-Han Yu, Shou-de Lin:
Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs. ACL 2020: 2865-2871 - [c123]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 - [c122]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 - [c121]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 - [c120]Keng-Te Liao, Cheng-Syuan Lee, Zhong-Yu Huang, Shou-de Lin:
Explaining Word Embeddings via Disentangled Representation. AACL/IJCNLP 2020: 720-725
2010 – 2019
- 2019
- [j26]Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin:
DeepRank: improving unsupervised node ranking via link discovery. Data Min. Knowl. Discov. 33(2): 474-498 (2019) - [j25]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 (2019) - [j24]Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin:
Towards a more reliable privacy-preserving recommender system. Inf. Sci. 482: 248-265 (2019) - [c119]Jun-Kun Wang, Chi-Jen Lu, Shou-De Lin:
Online Linear Optimization with Sparsity Constraints. ALT 2019: 882-896 - [c118]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. AAMAS 2019: 2201-2203 - [c117]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 - [c116]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 - [c115]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 - [c114]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 - [c113]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 - [c112]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 - [c111]Hong-You Chen, Chin-Hua Hu, Leila Wehbe, Shou-De Lin:
Self-Discriminative Learning for Unsupervised Document Embedding. NAACL-HLT (1) 2019: 2465-2474 - [c110]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 - [c109]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 - [c108]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 - [i9]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. CoRR abs/1901.10059 (2019) - [i8]Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin:
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement. CoRR abs/1905.04874 (2019) - [i7]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. CoRR abs/1909.07683 (2019) - 2018
- [j23]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. Soc. Syst. 5(1): 33-45 (2018) - [j22]Chin-Chi Hsu, Mi-Yen Yeh, Shou-De Lin:
A General Framework for Implicit and Explicit Social Recommendation. IEEE Trans. Knowl. Data Eng. 30(12): 2228-2241 (2018) - [c107]Yueh-Hua Wu, Shou-De Lin:
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. AAAI 2018: 1687-1694 - [c106]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping. AIES 2018: 297-302 - [c105]Hong-You Chen, Cheng-Syuan Lee, Keng-Te Liao, Shou-de Lin:
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings. EMNLP 2018: 4834-4839 - [c104]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: 2651-2655 - [c103]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. NeurIPS 2018: 10891-10899 - [c102]Fang-Yi Chang, Chun Chen, Shou-De Lin:
An Empirical Study of Ladder Network and Multitask Learning on Energy Disaggregation in Taiwan. TAAI 2018: 86-89 - [c101]Yian Chen, Xing Xie, Shou-De Lin, Arden Chiu:
WSDM Cup 2018: Music Recommendation and Churn Prediction. WSDM 2018: 8-9 - [r2]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. 2nd Ed. 2018 - [i6]Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin:
A Memory-Network Based Solution for Multivariate Time-Series Forecasting. CoRR abs/1809.02105 (2018) - [i5]Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin:
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models. CoRR abs/1809.02112 (2018) - [i4]Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin:
Attribute-aware Collaborative Filtering: Survey and Classification. CoRR abs/1810.08765 (2018) - 2017
- [c100]Hao-Ying Liang, Yun-Tung Shieh, Addicam Sanjay, Shao-Wen Yang, Shou-De Lin:
Ensemble-Based Location Tracking Using Passive RFID. DSAA 2017: 420-428 - [c99]Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin:
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. DSAA 2017: 496-503 - [c98]Ian En-Hsu Yen, Wei-Cheng Lee, Sung-En Chang, Arun Sai Suggala, Shou-De Lin, Pradeep Ravikumar:
Latent Feature Lasso. ICML 2017: 3949-3957 - [c97]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: 5257-5266 - [c96]Hao-En Sung, Cheng-Kuan Chen, Han Xiao, Shou-De Lin:
A Classification Model for Diverse and Noisy Labelers. PAKDD (1) 2017: 58-69 - [c95]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: 771-779 - [i3]Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin:
Towards a More Reliable Privacy-preserving Recommender System. CoRR abs/1711.07638 (2017) - [i2]Yueh-Hua Wu, Shou-De Lin:
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. CoRR abs/1712.04172 (2017) - 2016
- [j21]Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin:
Enriching Cold Start Personalized Language Model Using Social Network Information. Int. J. Comput. Linguistics Chin. Lang. Process. 21(1) (2016) - [c94]Jun-Kun Wang, Shou-De Lin:
Parallel Least-Squares Policy Iteration. DSAA 2016: 166-173 - [c93]Jun-Kun Wang, Shou-De Lin:
Efficient Sampling-Based ADMM for Distributed Data. DSAA 2016: 321-330 - [c92]Yu-Yang Huang, Shou-De Lin:
Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation. EMNLP 2016: 805-814 - [c91]Chia-Hsin Ting, Hung-Yi Lo, Shou-De Lin:
Transfer-Learning Based Model for Reciprocal Recommendation. PAKDD (2) 2016: 491-502 - [c90]Chi-Ruei Li, Addicam Sanjay, Shao-Wen Yang, Shou-De Lin:
Transfer learning for sequential recommendation model. TAAI 2016: 154-161 - [i1]Guang-He Lee, Shao-Wen Yang, Shou-De Lin:
Toward Implicit Sample Noise Modeling: Deviation-driven Matrix Factorization. CoRR abs/1610.09274 (2016) - 2015
- [j20]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. J. Mach. Learn. Res. 16: 2921-2947 (2015) - [j19]Cheng-Te Li, Man-Kwan Shan, Shou-De Lin:
On team formation with expertise query in collaborative social networks. Knowl. Inf. Syst. 42(2): 441-463 (2015) - [c89]San-Chuan Hung, Tsung-Ting Kuo, Shou-De Lin:
Novel Topic Diffusion Prediction using Latent Semantic and User Behavior. ASE BD&SI 2015: 39:1-39:6 - [c88]Chung-Yi Li, Wei-Lun Su, Todd G. McKenzie, Fu-Chun Hsu, Shou-De Lin, Jane Yung-jen Hsu, Phillip B. Gibbons:
Recommending missing sensor values. IEEE BigData 2015: 381-390 - [c87]Chin-Chi Hsu, Perng-Hwa Kung, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons:
Bandwidth-efficient distributed k-nearest-neighbor search with dynamic time warping. IEEE BigData 2015: 551-560 - [c86]Yen-Kai Wang, Wei-Ming Chen, Cheng-Te Li, Shou-De Lin:
Identifying smallest unique subgraphs in a heterogeneous social network. IEEE BigData 2015: 757-766 - [c85]Han Xiao, Shou-De Lin, Mi-Yen Yeh, Phillip B. Gibbons, Claudia Eckert:
Learning better while sending less: Communication-efficient online semi-supervised learning in client-server settings. DSAA 2015: 1-10 - [c84]Guang-He Lee, Shou-De Lin:
LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda. ICDM 2015: 823-828 - [c83]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Measuring and Recommending Time-Sensitive Routes from Location-based Data. IJCAI 2015: 4193-4196 - [c82]Hsun-Ping Hsieh, Shou-De Lin, Yu Zheng:
Inferring Air Quality for Station Location Recommendation Based on Urban Big Data. KDD 2015: 437-446 - [c81]Su-Chen Lin, Shou-De Lin, Ming-Syan Chen:
A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks. KDD 2015: 695-704 - [c80]Ian En-Hsu Yen, Shan-Wei Lin, Shou-De Lin:
A Dual Augmented Block Minimization Framework for Learning with Limited Memory. NIPS 2015: 3582-3590 - [c79]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Estimating Potential Customers Anywhere and Anytime Based on Location-Based Social Networks. ECML/PKDD (2) 2015: 576-592 - [e4]Shou-de Lin, Lun-Wei Ku, Cheng-Te Li, Erik Cambria:
Proceedings of the third International Workshop on Natural Language Processing for Social Media, SocialNLP@NAACL 2015, Denver, Colorado, USA, June 5, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-48-8 [contents] - 2014
- [j18]Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, 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. J. Mach. Learn. Res. 15(1): 3037-3064 (2014) - [j17]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Measuring and Recommending Time-Sensitive Routes from Location-Based Data. ACM Trans. Intell. Syst. Technol. 5(3): 45:1-45:27 (2014) - [j16]Hung-Yi Lo, Shou-De Lin, Hsin-Min Wang:
Generalized k-Labelsets Ensemble for Multi-Label and Cost-Sensitive Classification. IEEE Trans. Knowl. Data Eng. 26(7): 1679-1691 (2014) - [c78]Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin:
Enriching Cold Start Personalized Language Model Using Social Network Information. ACL (2) 2014: 611-617 - [c77]Chin-Hua Tsai, Jing-Kai Lou, Wan-Chen Lu, Shou-De Lin:
Exploiting rank-learning models to predict the diffusion of preferences on social networks. ASONAM 2014: 265-272 - [c76]Jung-Jung Yeh, Tsung-Ting Kuo, William Chen, Shou-De Lin:
Minimizing expected loss for risk-avoiding reinforcement learning. DSAA 2014: 11-17 - [c75]Cho-Yi Hsiao, Hung-Yi Lo, Tu-Chun Yin, Shou-De Lin:
Optimizing specificity under perfect sensitivity for medical data classification. DSAA 2014: 163-169 - [c74]How Jing, Shou-De Lin:
Neural Conditional Energy Models for Multi-label Classification. ICDM 2014: 240-249 - [c73]How Jing, An-Chun Liang, Shou-De Lin, Yu Tsao:
A Transfer Probabilistic Collective Factorization Model to Handle Sparse Data in Collaborative Filtering. ICDM 2014: 250-259 - [c72]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Trip Router: A Time-Sensitive Route Recommender System. ICDM Workshops 2014: 1207-1210 - [c71]Jun-Kun Wang, Shou-de Lin:
Robust Inverse Covariance Estimation under Noisy Measurements. ICML 2014: 928-936 - [c70]Chih-Hung Hsieh, Hsin-Mu Tsai, Shao-Wen Yang, Shou-De Lin:
Predict Scooter's Stopping Event Using Smartphone as the Sensing Device. iThings/GreenCom/CPSCom 2014: 17-23 - [c69]Chung-Yi Li, Shou-De Lin:
Matching users and items across domains to improve the recommendation quality. KDD 2014: 801-810 - [c68]Ian En-Hsu Yen, Ting-Wei Lin, Shou-De Lin, Pradeep Ravikumar, Inderjit S. Dhillon:
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space. NIPS 2014: 2456-2464 - [c67]Chia-Jen Lin, Tsung-Ting Kuo, Shou-De Lin:
A Content-Based Matrix Factorization Model for Recipe Recommendation. PAKDD (2) 2014: 560-571 - [c66]Eric L. Lee, Jing-Kai Lou, Wei-Ming Chen, Yen-Chi Chen, Shou-De Lin, Yen-Sheng Chiang, Kuan-Ta Chen:
Fairness-Aware Loan Recommendation for Microfinance Services. SocialCom 2014: 3:1-3:4 - [c65]Yu-Yang Huang, Yu-An Yen, Ting-Wei Ku, Shou-De Lin, Wen-Tai Hsieh, Tsun Ku:
A Weight-Sharing Gaussian Process Model Using Web-Based Information for Audience Rating Prediction. TAAI 2014: 198-208 - [c64]Wei-Shih Lin, Tsung-Ting Kuo, Yu-Yang Huang, Wan-Chen Lu, Shou-De Lin:
A Transfer-Learning Approach to Exploit Noisy Information for Classification and Its Application on Sentiment Detection. TAAI 2014: 262-273 - [c63]Shun-Hsing Ou, Yu-Chen Lu, Jui-Pin Wang, Shao-Yi Chien, Shou-De Lin, Mi-Yen Yeh, Chia-Han Lee, Phillip B. Gibbons, V. Srinivasa Somayazulu, Yen-Kuang Chen:
Communication-efficient multi-view keyframe extraction in distributed video sensors. VCIP 2014: 13-16 - [c62]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, Yi-Ping Hung:
Connected vehicle safety science, system, and framework. WF-IoT 2014: 235-240 - [e3]Shou-de Lin, Lun-Wei Ku, Erik Cambria, Tsung-Ting Kuo:
Proceedings of the Second Workshop on Natural Language Processing for Social Media, SocialNLP@COLING 2014, Dublin, Ireland, August 24, 2014. Association for Computational Linguistics and Dublin City University 2014, ISBN 978-1-873769-45-4 [contents] - [r1]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: 1212-1218 - 2013
- [j15]Yi-Chen Lo, Jhao-Yin Li, Mi-Yen Yeh, Shou-De Lin, Jian Pei:
What distinguish one from its peers in social networks? Data Min. Knowl. Discov. 27(3): 396-420 (2013) - [j14]Cheng-Te Li, Tsung-Ting Kuo, Chien-Tung Ho, San-Chuan Hung, Wei-Shih Lin, Shou-De Lin:
Modeling and evaluating information propagation in a microblogging social network. Soc. Netw. Anal. Min. 3(3): 341-357 (2013) - [j13]Yi-Chen Lo, Hung-Che Lai, Cheng-Te Li, Shou-De Lin:
Mining and generating large-scaled social networks via MapReduce. Soc. Netw. Anal. Min. 3(4): 1449-1469 (2013) - [j12]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 Trans. Intell. Syst. Technol. 4(1): 12:1-12:21 (2013) - [c61]Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons:
Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems. ICDM 2013: 787-796 - [c60]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Time-Sensitive Route Planning Using Location-Based Data. ICDM Workshops 2013: 1121-1128 - [c59]Cheng-Lun Yang, Perng-Hwa Kung, Cheng-Te Li, Chun-An Chen, Shou-De Lin:
Sampling Heterogeneous Networks. ICDM 2013: 1247-1252 - [c58]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: 2197-2203 - [c57]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: 507-515 - [c56]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: 2:1-2:7 - [c55]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. KDD Cup 2013: 7:1-7:9 - [c54]Ian En-Hsu 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. KDD 2013: 248-256 - [c53]Tsung-Ting Kuo, Rui Yan, Yu-Yang Huang, Perng-Hwa Kung, Shou-De Lin:
Unsupervised link prediction using aggregative statistics on heterogeneous social networks. KDD 2013: 775-783 - [c52]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 (1) 2013: 276-288 - [c51]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. PAKDD (1) 2013: 414-425 - [c50]San-Chuan Hung, Perng-Hwa Kung, Shou-De Lin, Jing-Kai Lou, Chin-Hua Tsai, Fu-Min Wang:
Modeling the Diffusion of Preferences on Social Networks. SDM 2013: 605-613 - [c49]Cheng-Lun Yang, Perng-Hwa Kung, Chun-An Chen, Shou-De Lin:
Semantically sampling in heterogeneous social networks. WWW (Companion Volume) 2013: 181-182 - [e2]Shou-de Lin, Lun-Wei Ku, Tsung-Ting Kuo:
Proceedings of the IJCNLP Workshop on Natural Language Processing for Social Media, SocialNLP@IJCNLP 2013, Nagoya, Japan, October 14 - 18, 2013. Asian Federation of Natural Language Processing 2013, ISBN 978-4-9907348-3-1 [contents] - 2012
- [j11]Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen, Shou-de Lin:
Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction. Int. J. Comput. Linguistics Chin. Lang. Process. 17(4) (2012) - [j10]Yi-Kuang Ko, Jing-Kai Lou, Cheng-Te Li, Shou-De Lin, Shyh-Kang Jeng:
A social network evolution model based on seniority. Soc. Netw. Anal. Min. 2(2): 107-119 (2012) - [c48]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: 145-150 - [c47]Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, Wei-Fen Lin:
Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks. ACL (2) 2012: 344-348 - [c46]Hung-Che Lai, Cheng-Te Li, Yi-Chen Lo, Shou-De Lin:
Exploiting and Evaluating MapReduce for Large-Scale Graph Mining. ASONAM 2012: 434-441 - [c45]Jung-Wei Chou, Shou-De Lin, Chen-Mou Cheng:
On the effectiveness of using state-of-the-art machine learning techniques to launch cryptographic distinguishing attacks. AISec 2012: 105-110 - [c44]Liang-Chieh Chen, Tsung-Ting Kuo, Wei-Chi Lai, Shou-De Lin, Chi-Hung Tsai:
Prediction-based outlier detection with explanations. GrC 2012: 44-49 - [c43]Hung-Yi Lo, Shou-De Lin, Hsin-Min Wang:
Generalized k-labelset ensemble for multi-label classification. ICASSP 2012: 2061-2064 - [c42]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Exploiting large-scale check-in data to recommend time-sensitive routes. UrbComp@KDD 2012: 55-62 - [c41]Hung-Hsuan Chen, Yan-Bin Ciou, Shou-De Lin:
Information propagation game: a tool to acquire humanplaying data for multiplayer influence maximization on social networks. KDD 2012: 1524-1527 - [c40]Cheng-Te Li, Shou-De Lin:
EvaPlanner: an evacuation planner with social-based flocking kinetics. KDD 2012: 1568-1571 - [c39]Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen, Shou-de Lin:
利用機器學習於中文法律文件之標記、案件分類及量刑預測 (Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction) [In Chinese]. ROCLING 2012 - [c38]Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin:
CrowDiffuse: information diffusion over crowds with social network. SIGGRAPH Posters 2012: 124 - [c37]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: 1101-1102 - [c36]Cheng-Te Li, Shou-De Lin:
Centrality Analysis, Role-Based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks. SocialCom/PASSAT 2012: 1-10 - [c35]Yi-Chen Lo, Cheng-Te Li, Shou-De Lin:
Parallelizing Preferential Attachment Models for Generating Large-Scale Social Networks that Cannot Fit into Memory. SocialCom/PASSAT 2012: 229-238 - [c34]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: 125-130 - [c33]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Frequent temporal social behavior search in information networks. WWW (Companion Volume) 2012: 527-528 - [c32]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
TripRec: recommending trip routes from large scale check-in data. WWW (Companion Volume) 2012: 529-530 - [c31]Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin, Man-Kwan Shan:
Finding influential seed successors in social networks. WWW (Companion Volume) 2012: 557-558 - [c30]Cheng-Te Li, Shou-De Lin, Man-Kwan Shan:
Influence propagation and maximization for heterogeneous social networks. WWW (Companion Volume) 2012: 559-560 - [c29]Cheng-Te Li, Man-Kwan Shan, Shou-De Lin:
Dynamic selection of activation targets to boost the influence spread in social networks. WWW (Companion Volume) 2012: 561-562 - [c28]Cheng-Te Li, Man-Kwan Shan, Shou-De Lin:
Regional subgraph discovery in social networks. WWW (Companion Volume) 2012: 563-564 - [c27]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. KDD Cup 2012: 21-60 - [c26]Tsung-Hsien Chiang, Hung-Yi Lo, Shou-De Lin:
A Ranking-based KNN Approach for Multi-Label Classification. ACML 2012: 81-96 - [c25]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. KDD Cup 2012: 101-135 - 2011
- [j9]Tsung-Ting Kuo, Shou-De Lin:
Learning-based concept-hierarchy refinement through exploiting topology, content and social information. Inf. Sci. 181(12): 2512-2528 (2011) - [j8]Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang, Shou-De Lin:
Cost-Sensitive Multi-Label Learning for Audio Tag Annotation and Retrieval. IEEE Trans. Multim. 13(3): 518-529 (2011) - [c24]Cheng-Te Li, Chien-Yuan Wang, Chien-Lin Tseng, Shou-De Lin:
MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages. ACL (System Demonstrations) 2011: 32-37 - [c23]Jui-Yu Weng, Cheng-Lun Yang, Bo-Nian Chen, Yen-Kai Wang, Shou-De Lin:
IMASS: An Intelligent Microblog Analysis and Summarization System. ACL (System Demonstrations) 2011: 133-138 - [c22]Chien-Tung Ho, Cheng-Te Li, Shou-De Lin:
Modeling and Visualizing Information Propagation in a Micro-blogging Platform. ASONAM 2011: 328-335 - [c21]Cheng-Te Li, Man-Kwan Shan, Shou-De Lin:
Context-based people search in labeled social networks. CIKM 2011: 1607-1612 - [c20]Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang, Shou-De Lin:
Cost-sensitive stacking for audio tag annotation and retrieval. ICASSP 2011: 2308-2311 - [c19]Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman:
Time-Aware Ranking in Dynamic Citation Networks. ICDM Workshops 2011: 373-380 - [c18]Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data. ICDM Workshops 2011: 1227-1230 - [c17]Cheng-Te Li, Shou-De Lin:
Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling. KDD 2011: 765-768 - [c16]Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin:
PhotoFeel: feeling your photo collection with graph-based audiovisual flocking. ACM Multimedia 2011: 1553-1556 - [c15]Hung-Yi Lo, Shou-De Lin, Hsin-Min Wang:
Audio Tag Annotation and Retrieval Using Tag Count Information. MMM (1) 2011: 339-349 - [c14]Cheng-Te Li, Shou-De Lin, Man-Kwan Shan:
Exploiting endorsement information and social influence for item recommendation. SIGIR 2011: 1131-1132 - [c13]Cheng-Te Li, Shou-De Lin, Man-Kwan Shan:
Finding influential mediators in social networks. WWW (Companion Volume) 2011: 75-76 - [e1]Anwitaman Datta, Stuart W. Shulman, Baihua Zheng, Shou-De Lin, Aixin Sun, Ee-Peng Lim:
Social Informatics - Third International Conference, SocInfo 2011, Singapore, October 6-8, 2011. Proceedings. Lecture Notes in Computer Science 6984, Springer 2011, ISBN 978-3-642-24703-3 [contents] - 2010
- [j7]Anta Huang, Tsung-Ting Kuo, Ying-Chun Lai, Shou-De Lin:
Discovering Correction Rules for Auto Editing. Int. J. Comput. Linguistics Chin. Lang. Process. 15(3-4) (2010) - [c12]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 Information. ASONAM 2010: 56-63 - [c11]Tsung-Ting Kuo, Jung-Jung Yeh, Chih-Jen Lin, Shou-De Lin:
Designing, Analyzing and Exploiting Stake-Based Social Networks. ASONAM 2010: 402-403 - [c10]Anta Huang, Tsung-Ting Kuo, Ying-Chun Lai, Shou-De Lin:
Identifying Correction Rules for Auto Editing. ROCLING 2010 - [c9]Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin:
SocioCrowd: a social-network-based framework for crowd simulation. SIGGRAPH Posters 2010: 17:1 - [c8]Cheng-Te Li, Shou-De Lin:
Communication Structure Discovery via Information Asymmetry in an Organizational Social Network. Web Intelligence 2010: 524-527 - [c7]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: 1141-1142 - [p1]Cheng-Te Li, Shou-De Lin:
Mining Heterogeneous Social Networks for Egocentric Information Abstraction. From Sociology to Computing in Social Networks 2010: 35-58
2000 – 2009
- 2009
- [c6]Cheng-Te Li, Shou-De Lin:
Egocentric Information Abstraction for Heterogeneous Social Networks. ASONAM 2009: 255-260 - [c5]Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin:
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup 2009: 57-64 - 2008
- [j6]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. SIGKDD Explor. 10(2): 43-46 (2008) - [j5]Shou-De Lin, Hans Chalupsky:
Discovering and Explaining Abnormal Nodes in Semantic Graphs. IEEE Trans. Knowl. Data Eng. 20(8): 1039-1052 (2008) - [c4]Shou-De Lin, Karin Verspoor:
A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation. CICLing 2008: 287-298 - 2006
- [j4]Shou-De Lin, Kevin Knight:
Discovering the linear writing order of a two-dimensional ancient hieroglyphic script. Artif. Intell. 170(4-5): 409-421 (2006) - 2005
- [j3]Shou-De Lin, Craig A. Knoblock:
SERGEANT: A framework for building more flexible web agents by exploiting a search engine. Web Intell. Agent Syst. 3(1): 1-15 (2005) - 2004
- [c3]Shou-De Lin:
Interesting Instance Discovery in Multi-Relational Data. AAAI 2004: 991-992 - 2003
- [j2]Shou-De Lin, Hans Chalupsky:
Using unsupervised link discovery methods to find interesting facts and connections in a bibliography dataset. SIGKDD Explor. 5(2): 173-178 (2003) - [c2]Shou-De Lin, Hans Chalupsky:
Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis. ICDM 2003: 171-178 - [c1]Shou-De Lin, Craig A. Knoblock:
Exploiting a Search Engine to Develop More Flexible Web Agents. Web Intelligence 2003: 54-60 - 2001
- [j1]Michael P. Wellman, Peter R. Wurman, Kevin O'Malley, Roshan Bangera, Shou-De Lin, Daniel M. Reeves, William E. Walsh:
Designing the Market Game for a Trading Agent Competition. IEEE Internet Comput. 5(2): 43-51 (2001)
Coauthor Index
[j32] [j31] [j30] [c133] [c132] [i17] [c128] [c126] [j28] [j27] [j24] [c108] [j23] [r2] [i3] [j19] [c86] [c83] [c79] [e4] [j17] [c72] [r1] [j14] [j13] [c60] [c59] [j10] [c46] [c42] [c40] [c38] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c24] [c22] [c21] [c18] [c17] [c16] [c14] [c13] [c9] [c8] [c7] [p1] [c6]
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