Shou-De Lin

220 papers A* 35A 8B 19C 4Misc 4Journal 69Unranked 74
YearRankTypeTitle / Venue / Authors
2026 J jnl
Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks.
CoRR
Yu-Che Tsai, Hsiang Hsiao, Kuan-Yu Chen, Shou-De Lin
2025 — conf
Benchmarking Uncertainty Metrics for LLM Target-Aware Search.
EMNLP (Findings)
Pei-Fu Guo, Yun-Da Tsai, Shou-De Lin
2025 J jnl
Consistent Labeling Across Group Assignments: Variance Reduction in Conditional Average Treatment Effect Estimation.
CoRR
Yi-Fu Fu, Keng-Te Liao, Shou-De Lin
2025 — conf
Differentiable Good Arm Identification.
PAKDD (1)
Yun-Da Tsai, Tzu-Hsien Tsai, Shou-De Lin
2025 A* conf
Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting.
AAAI
Yun-Da Tsai, Ting-Yu Yen, Keng-Te Liao, Shou-De Lin
2025 J jnl
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, Is All You Need.
ACM Trans. Intell. Syst. Technol.
Li-Wei Chang, Cheng-Te Li, Chun-Pai Yang, Shou-De Lin
2025 J jnl
Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement.
CoRR
Yu-Che Tsai, Kuan-Yu Chen, Yuan-Chi Li, Yuan-Hao Chen, Ching-Yu Tsai, Shou-De Lin
2025 — conf
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem.
PAKDD (1)
Yun-Ang Wu, Yun-Da Tsai, Shou-De Lin
2025 J jnl
LiveCLKTBench: Towards Reliable Evaluation of Cross-Lingual Knowledge Transfer in Multilingual LLMs.
CoRR
Pei-Fu Guo, Yun-Da Tsai, Chun-Chia Hsu, Kai-Xin Chen, Ya-An Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, Shou-De Lin
2025 J jnl
Multimodal Chip Physical Design Engineer Assistant.
CoRR
Yun-Da Tsai, Chang-Yu Chao, Liang-Yeh Shen, Tsung-Han Lin, Haoyu Yang, Mark Ho, Yi-Chen Lu, Wen-Hao Liu, Shou-De Lin, Haoxing Ren
2025 A* conf
Neuron-Level Differentiation of Memorization and Generalization in Large Language Models.
EMNLP
Ko-Wei Huang, Yi-Fu Fu, Ching-Yu Tsai, Yu-Chieh Tu, Tzu-Ling Cheng, Cheng-Yu Lin, Yi-Ting Yang, Heng-Yi Liu, Keng-Te Liao, Da-Cheng Juan, Shou-De Lin
2025 J jnl
PLHF: Prompt Optimization with Few-Shot Human Feedback.
CoRR
Chun-Pai Yang, Kan Zheng, Shou-De Lin
2025 A* conf
Poster: When Logs Misbehave: Retrieving Known APTs from Noisy Graphs.
CCS
Guo-Wei Wong, Yi-Ting Huang, Ying-Ren Guo, Ming-Chuan Yang, Shou-De Lin, Wang-Chien Lee, Meng Chang Chen
2025 — conf
Text-centric Alignment for Bridging Test-time Unseen Modality.
EMNLP (Findings)
Yun-Da Tsai, Ting-Yu Yen, Pei-Fu Guo, Zhe-Yan Li, Shou-De Lin
2025 J jnl
Training LLMs Beyond Next Token Prediction - Filling the Mutual Information Gap.
CoRR
Chun-Hao Yang, Bo-Han Feng, Tzu-Yuan Lai, Yan Yu Chen, Yin-Kai Dean Huang, Shou-De Lin
2025 J jnl
Uncertainty Profiles for LLMs: Uncertainty Source Decomposition and Adaptive Model-Metric Selection.
CoRR
Pei-Fu Guo, Yun-Da Tsai, Shou-De Lin
2024 J jnl
Benchmarking Large Language Model Uncertainty for Prompt Optimization.
CoRR
Pei-Fu Guo, Yun-Da Tsai, Shou-De Lin
2024 J jnl
Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting.
CoRR
Yun-Da Tsai, Ting-Yu Yen, Keng-Te Liao, Shou-De Lin
2024 J jnl
Enhance the Robustness of Text-Centric Multimodal Alignments.
CoRR
Ting-Yu Yen, Yun-Da Tsai, Keng-Te Liao, Shou-De Lin
2024 — conf
Handling Concept Drift in Non-stationary Bandit Through Predicting Future Rewards.
PAKDD (Workshops)
Yun-Da Tsai, Shou-De Lin
2024 J jnl
Incremental Data Drifting: Evaluation Metrics, Data Generation, and Approach Comparison.
ACM Trans. Intell. Syst. Technol.
Yu-Tung Pai, Nien-En Sun, Cheng-Te Li, Shou-De Lin
2024 J jnl
Investigating Instruction Tuning Large Language Models on Graphs.
CoRR
Kerui Zhu, Bo-Wei Huang, Bowen Jin, Yizhu Jiao, Ming Zhong, Kevin Chang, Shou-De Lin, Jiawei Han
2024 J jnl
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem.
CoRR
Yun-Ang Wu, Yun-Da Tsai, Shou-De Lin
2024 J jnl
Text-centric Alignment for Multi-Modality Learning.
CoRR
Yun-Da Tsai, Ting-Yu Yen, Pei-Fu Guo, Zhe-Yan Li, Shou-De Lin
2024 J jnl
Think or Remember? Detecting and Directing LLMs Towards Memorization or Generalization.
CoRR
Yi-Fu Fu, Yu-Chieh Tu, Tzu-Ling Cheng, Cheng-Yu Lin, Yi-Ting Yang, Heng-Yi Liu, Keng-Te Liao, Da-Cheng Juan, Shou-De Lin
2024 A* conf
Toward More Generalized Malicious URL Detection Models.
AAAI
Yun-Da Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin
2024 — conf
Towards Optimizing with Large Language Model.
KiL@KDD
Pei-Fu Guo, Ying-Hsuan Chen, Yun-Da Tsai, Shou-De Lin
2024 — conf
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries.
ACL (1)
Yu-Hsiang Huang, Yu-Che Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin
2024 J jnl
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries.
CoRR
Yu-Hsiang Huang, Yu-Che Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin
2024 J jnl
Unilateral boundary time series forecasting.
Frontiers Big Data
Chao-Min Chang, Cheng-Te Li, Shou-De Lin
2024 — conf
lil'HDoC: An Algorithm for Good Arm Identification Under Small Threshold Gap.
PAKDD (5)
Tzu-Hsien Tsai, Yun-Da Tsai, Shou-De Lin
2024 J jnl
lil'HDoC: An Algorithm for Good Arm Identification under Small Threshold Gap.
CoRR
Tzu-Hsien Tsai, Yun-Da Tsai, Shou-De Lin
2023 J jnl
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation.
CoRR
Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin
2023 J jnl
AutoML-GPT: Large Language Model for AutoML.
CoRR
Yun-Da Tsai, Yu-Che Tsai, Bo-Wei Huang, Chun-Pai Yang, Shou-De Lin
2023 J jnl
Differential Good Arm Identification.
CoRR
Yun-Da Tsai, Tzu-Hsien Tsai, Shou-De Lin
2023 J jnl
Environment Diversification with Multi-head Neural Network for Invariant Learning.
CoRR
Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao, Shou-De Lin
2023 J jnl
Exposing the Functionalities of Neurons for Gated Recurrent Unit Based Sequence-to-Sequence Model.
CoRR
Yi-Ting Lee, Da-Yi Wu, Chih-Chun Yang, Shou-De Lin
2023 A conf
GraphFC: Customs Fraud Detection with Label Scarcity.
CIKM
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin
2023 J jnl
GraphFC: Customs Fraud Detection with Label Scarcity.
CoRR
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin
2023 J jnl
Learning Privacy-Preserving Embeddings for Image Data to Be Published.
ACM Trans. Intell. Syst. Technol.
Chu-Chen Li, Cheng-Te Li, Shou-De Lin
2023 J jnl
PSGText: Stroke-Guided Scene Text Editing with PSP Module.
CoRR
Felix Liawi, Yun-Da Tsai, Guan-Lun Lu, Shou-De Lin
2023 A conf
Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness.
CIKM
Cayon Liow, Cheng-Te Li, Chun-Pai Yang, Shou-De Lin
2023 J jnl
Towards Optimizing with Large Language Models.
CoRR
Pei-Fu Guo, Ying-Hsuan Chen, Yun-Da Tsai, Shou-De Lin
2023 — conf
UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledge Graph Attention Network.
PAKDD (2)
Yen-Ching Tseng, Zu-Mu Chen, Mi-Yen Yeh, Shou-De Lin
2022 J jnl
Bayesian mixture variational autoencoders for multi-modal learning.
Mach. Learn.
Keng-Te Liao, Bo-Wei Huang, Chih-Chun Yang, Shou-De Lin
2022 — conf
Conditional Sentence Rephrasing without Parallel Training Corpus.
ICME Workshops
Yen-Ting Lee, Cheng-Te Li, Shou-De Lin
2022 A* conf
Environment Diversification with Multi-head Neural Network for Invariant Learning.
NeurIPS
Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao, Shou-De Lin
2022 J jnl
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network.
CoRR
Yun-Da Tsai, Shou-De Lin
2022 — conf
SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling.
PAKDD (2)
Chih-Chun Yang, Cheng-Te Li, Shou-De Lin
2022 J jnl
Toward more generalized Malicious URL Detection Models.
CoRR
Yun-Da Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin
2022 B conf
Towards ℓ1 Regularization for Deep Neural Networks: Model Sparsity Versus Task Difficulty.
DSAA
Ta-Chun Shen, Chun-Pai Yang, Ian En-Hsu Yen, Shou-De Lin
2021 J jnl
Deep Energy Factorization Model for Demographic Prediction.
ACM Trans. Intell. Syst. Technol.
Chih-Te Lai, Cheng-Te Li, Shou-De Lin
2021 A conf
Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus.
CIKM
Yun-Da Tsai, Cheng-Kuan Chen, Shou-De Lin
2020 J jnl
A joint optimization framework for better community detection based on link prediction in social networks.
Knowl. Inf. Syst.
Shu-Kai Zhang, Cheng-Te Li, Shou-De Lin
2020 B conf
Explainable and Sparse Representations of Academic Articles for Knowledge Exploration.
COLING
Keng-Te Liao, Zhihong Shen, Chiyuan Huang, Chieh-Han Wu, Po-Chun Chen, Kuansan Wang, Shou-De Lin
2020 — conf
Explaining Word Embeddings via Disentangled Representation.
AACL/IJCNLP
Keng-Te Liao, Cheng-Syuan Lee, Zhong-Yu Huang, Shou-De Lin
2020 A* conf
Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs.
ACL
Hong-You Chen, Sz-Han Yu, Shou-De Lin
2020 B conf
How Incompletely Segmented Information Affects Multi-Object Tracking and Segmentation (MOTS).
ICIP
Yu-Sheng Chou, Chien-Yao Wang, Shou-De Lin, Hong-Yuan Mark Liao
2020 — conf
Unseen Filler Generalization In Attention-based Natural Language Reasoning Models.
CogMI
Chin-Hui Chen, Yi-Fu Fu, Hsiao-Hua Cheng, Shou-De Lin
2019 A conf
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning.
AAMAS
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
2019 J jnl
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning.
CoRR
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
2019 — conf
A-HA: a hybrid approach for hotel recommendation.
RecSys Challenge
Kung-Hsiang Huang, Yi-Fu Fu, Yi-Ting Lee, Tzong-Hann Lee, Yao-Chun Chan, Yi-Hui Lee, Shou-De Lin
2019 J jnl
Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification.
Frontiers Big Data
Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin
2019 — conf
Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions.
PDH
Yue Liu, Helena Lee, Palakorn Achananuparp, Ee-Peng Lim, Tzu-Ling Cheng, Shou-De Lin
2019 J jnl
Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions.
CoRR
Yue Liu, Helena Lee, Palakorn Achananuparp, Ee-Peng Lim, Tzu-Ling Cheng, Shou-De Lin
2019 — conf
Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator.
EMNLP/IJCNLP (3)
Liang-Hsin Shen, Pei-Lun Tai, Chao-Chung Wu, Shou-De Lin
2019 J jnl
DeepRank: improving unsupervised node ranking via link discovery.
Data Min. Knowl. Discov.
Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin
2019 — conf
Detection of Anomaly State Caused by Unexpected Accident using Data of Smart Card for Public Transportation.
IEEE BigData
Sakura Yamaki, Shou-De Lin, Wataru Kameyama
2019 B conf
Dynamic Gallery for Real-Time Multi-Target Multi-Camera Tracking.
AVSS
Yu-Sheng Chou, Chien-Yao Wang, Ming-Chiao Chen, Shou-De Lin, Hong-Yuan Mark Liao
2019 — conf
Evaluating Image-Inspired Poetry Generation.
NLPCC (1)
Chao-Chung Wu, Ruihua Song, Tetsuya Sakai, Wen-Feng Cheng, Xing Xie, Shou-De Lin
2019 A* conf
MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes.
WWW
Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin
2019 A* conf
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement.
ICML
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin
2019 J jnl
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement.
CoRR
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin
2019 — conf
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training.
EMNLP/IJCNLP (1)
Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin
2019 B conf
Online Linear Optimization with Sparsity Constraints.
ALT
Jun-Kun Wang, Chi-Jen Lu, Shou-De Lin
2019 — conf
Self-Discriminative Learning for Unsupervised Document Embedding.
NAACL-HLT (1)
Hong-You Chen, Chin-Hua Hu, Leila Wehbe, Shou-De Lin
2019 J jnl
Towards a more reliable privacy-preserving recommender system.
Inf. Sci.
Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin
2018 J jnl
A General Framework for Implicit and Explicit Social Recommendation.
IEEE Trans. Knowl. Data Eng.
Chin-Chi Hsu, Mi-Yen Yeh, Shou-De Lin
2018 A* conf
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents.
AAAI
Yueh-Hua Wu, Shou-De Lin
2018 J jnl
A Memory-Network Based Solution for Multivariate Time-Series Forecasting.
CoRR
Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin
2018 J jnl
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models.
CoRR
Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin
2018 — conf
An Empirical Study of Ladder Network and Multitask Learning on Energy Disaggregation in Taiwan.
TAAI
Fang-Yi Chang, Chun Chen, Shou-De Lin
2018 J jnl
Attribute-aware Collaborative Filtering: Survey and Classification.
CoRR
Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin
2018 C conf
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping.
AIES
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
2018 Misc conf
How Sampling Rate Affects Cross-Domain Transfer Learning for Video Description.
ICASSP
Yu-Sheng Chou, Pai-Heng Hsiao, Shou-De Lin, Hong-Yuan Mark Liao
2018 A* conf
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization.
NeurIPS
Ian En-Hsu Yen, Wei-Cheng Lee, Kai Zhong, Sung-En Chang, Pradeep Ravikumar, Shou-De Lin
2018 — ch.
Opinion Diffusion and Analysis on Social Networks.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin
2018 J jnl
Social Flocks: Simulating Crowds to Discover the Connection Between Spatial-Temporal Movements of People and Social Structure.
IEEE Trans. Comput. Soc. Syst.
Cheng-Te Li, Shou-De Lin
2018 A conf
WSDM Cup 2018: Music Recommendation and Churn Prediction.
WSDM
Yian Chen, Xing Xie, Shou-De Lin, Arden Chiu
2018 A* conf
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings.
EMNLP
Hong-You Chen, Cheng-Syuan Lee, Keng-Te Liao, Shou-De Lin
2017 — conf
A Classification Model for Diverse and Noisy Labelers.
PAKDD (1)
Hao-En Sung, Cheng-Kuan Chen, Han Xiao, Shou-De Lin
2017 B conf
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation.
DSAA
Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin
2017 J jnl
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents.
CoRR
Yueh-Hua Wu, Shou-De Lin
2017 B conf
Ensemble-Based Location Tracking Using Passive RFID.
DSAA
Hao-Ying Liang, Yun-Tung Shieh, Addicam Sanjay, Shao-Wen Yang, Shou-De Lin
2017 A* conf
Latent Feature Lasso.
ICML
Ian En-Hsu Yen, Wei-Cheng Lee, Sung-En Chang, Arun Sai Suggala, Shou-De Lin, Pradeep Ravikumar
2017 — conf
PRUNE: Preserving Proximity and Global Ranking for Network Embedding.
NIPS
Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin
2017 J jnl
Towards a More Reliable Privacy-preserving Recommender System.
CoRR
Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin
2017 A conf
Unsupervised Ranking using Graph Structures and Node Attributes.
WSDM
Chin-Chi Hsu, Yi-An Lai, Wen-Hao Chen, Ming-Han Feng, Shou-De Lin
2016 B conf
Efficient Sampling-Based ADMM for Distributed Data.
DSAA
Jun-Kun Wang, Shou-De Lin
2016 J jnl
Enriching Cold Start Personalized Language Model Using Social Network Information.
Int. J. Comput. Linguistics Chin. Lang. Process.
Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin
2016 B conf
Parallel Least-Squares Policy Iteration.
DSAA
Jun-Kun Wang, Shou-De Lin
2016 J jnl
Toward Implicit Sample Noise Modeling: Deviation-driven Matrix Factorization.
CoRR
Guang-He Lee, Shao-Wen Yang, Shou-De Lin
2016 — conf
Transfer learning for sequential recommendation model.
TAAI
Chi-Ruei Li, Addicam Sanjay, Shao-Wen Yang, Shou-De Lin
2016 — conf
Transfer-Learning Based Model for Reciprocal Recommendation.
PAKDD (2)
Chia-Hsin Ting, Hung-Yi Lo, Shou-De Lin
2016 A* conf
Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation.
EMNLP
Yu-Yang Huang, Shou-De Lin
2015 — conf
A Dual Augmented Block Minimization Framework for Learning with Limited Memory.
NIPS
Ian En-Hsu Yen, Shan-Wei Lin, Shou-De Lin
2015 A* conf
A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks.
KDD
Su-Chen Lin, Shou-De Lin, Ming-Syan Chen
2015 — conf
Bandwidth-efficient distributed k-nearest-neighbor search with dynamic time warping.
IEEE BigData
Chin-Chi Hsu, Perng-Hwa Kung, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons
2015 J jnl
Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013.
J. Mach. Learn. Res.
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
2015 — conf
Estimating Potential Customers Anywhere and Anytime Based on Location-Based Social Networks.
ECML/PKDD (2)
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2015 — conf
Identifying smallest unique subgraphs in a heterogeneous social network.
IEEE BigData
Yen-Kai Wang, Wei-Ming Chen, Cheng-Te Li, Shou-De Lin
2015 A* conf
Inferring Air Quality for Station Location Recommendation Based on Urban Big Data.
KDD
Hsun-Ping Hsieh, Shou-De Lin, Yu Zheng
2015 A* conf
LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda.
ICDM
Guang-He Lee, Shou-De Lin
2015 B conf
Learning better while sending less: Communication-efficient online semi-supervised learning in client-server settings.
DSAA
Han Xiao, Shou-De Lin, Mi-Yen Yeh, Phillip B. Gibbons, Claudia Eckert
2015 A* conf
Measuring and Recommending Time-Sensitive Routes from Location-based Data.
IJCAI
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2015 — conf
Novel Topic Diffusion Prediction using Latent Semantic and User Behavior.
ASE BD&SI
San-Chuan Hung, Tsung-Ting Kuo, Shou-De Lin
2015 J jnl
On team formation with expertise query in collaborative social networks.
Knowl. Inf. Syst.
Cheng-Te Li, Man-Kwan Shan, Shou-De Lin
2015 — ed.
Proceedings of the third International Workshop on Natural Language Processing for Social Media, SocialNLP@NAACL 2015, Denver, Colorado, USA, June 5, 2015
SocialNLP@NAACL
Shou-De Lin, Lun-Wei Ku, Cheng-Te Li, Erik Cambria
2015 — conf
Recommending missing sensor values.
IEEE BigData
Chung-Yi Li, Wei-Lun Su, Todd G. McKenzie, Fu-Chun Hsu, Shou-De Lin, Jane Yung-jen Hsu, Phillip B. Gibbons
2014 — conf
A Content-Based Matrix Factorization Model for Recipe Recommendation.
PAKDD (2)
Chia-Jen Lin, Tsung-Ting Kuo, Shou-De Lin
2014 A* conf
A Transfer Probabilistic Collective Factorization Model to Handle Sparse Data in Collaborative Filtering.
ICDM
How Jing, An-Chun Liang, Shou-De Lin, Yu Tsao
2014 — conf
A Transfer-Learning Approach to Exploit Noisy Information for Classification and Its Application on Sentiment Detection.
TAAI
Wei-Shih Lin, Tsung-Ting Kuo, Yu-Yang Huang, Wan-Chen Lu, Shou-De Lin
2014 — conf
A Weight-Sharing Gaussian Process Model Using Web-Based Information for Audience Rating Prediction.
TAAI
Yu-Yang Huang, Yu-An Yen, Ting-Wei Ku, Shou-De Lin, Wen-Tai Hsieh, Tsun Ku
2014 C conf
Communication-efficient multi-view keyframe extraction in distributed video sensors.
VCIP
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
2014 — conf
Connected vehicle safety science, system, and framework.
WF-IoT
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
2014 J jnl
Effective string processing and matching for author disambiguation.
J. Mach. Learn. Res.
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
2014 — conf
Enriching Cold Start Personalized Language Model Using Social Network Information.
ACL (2)
Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin
2014 B conf
Exploiting rank-learning models to predict the diffusion of preferences on social networks.
ASONAM
Chin-Hua Tsai, Jing-Kai Lou, Wan-Chen Lu, Shou-De Lin
2014 — conf
Fairness-Aware Loan Recommendation for Microfinance Services.
SocialCom
Eric L. Lee, Jing-Kai Lou, Wei-Ming Chen, Yen-Chi Chen, Shou-De Lin, Yen-Sheng Chiang, Kuan-Ta Chen
2014 J jnl
Generalized k-Labelsets Ensemble for Multi-Label and Cost-Sensitive Classification.
IEEE Trans. Knowl. Data Eng.
Hung-Yi Lo, Shou-De Lin, Hsin-Min Wang
2014 A* conf
Matching users and items across domains to improve the recommendation quality.
KDD
Chung-Yi Li, Shou-De Lin
2014 J jnl
Measuring and Recommending Time-Sensitive Routes from Location-Based Data.
ACM Trans. Intell. Syst. Technol.
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2014 B conf
Minimizing expected loss for risk-avoiding reinforcement learning.
DSAA
Jung-Jung Yeh, Tsung-Ting Kuo, William Chen, Shou-De Lin
2014 A* conf
Neural Conditional Energy Models for Multi-label Classification.
ICDM
How Jing, Shou-De Lin
2014 — ch.
Opinion Diffusion and Analysis on Social Networks.
Encyclopedia of Social Network Analysis and Mining
Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin
2014 B conf
Optimizing specificity under perfect sensitivity for medical data classification.
DSAA
Cho-Yi Hsiao, Hung-Yi Lo, Tu-Chun Yin, Shou-De Lin
2014 — conf
Predict Scooter's Stopping Event Using Smartphone as the Sensing Device.
iThings/GreenCom/CPSCom
Chih-Hung Hsieh, Hsin-Mu Tsai, Shao-Wen Yang, Shou-De Lin
2014 — ed.
Proceedings of the Second Workshop on Natural Language Processing for Social Media, SocialNLP@COLING 2014, Dublin, Ireland, August 24, 2014
SocialNLP@COLING
Shou-De Lin, Lun-Wei Ku, Erik Cambria, Tsung-Ting Kuo
2014 A* conf
Robust Inverse Covariance Estimation under Noisy Measurements.
ICML
Jun-Kun Wang, Shou-De Lin
2014 — conf
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space.
NIPS
Ian En-Hsu Yen, Ting-Wei Lin, Shou-De Lin, Pradeep Ravikumar, Inderjit S. Dhillon
2014 — conf
Trip Router: A Time-Sensitive Route Recommender System.
ICDM Workshops
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2013 J jnl
A modified random walk framework for handling negative ratings and generating explanations.
ACM Trans. Intell. Syst. Technol.
Yu-Chih Chen, Yu-Shi Lin, Yu-Chun Shen, Shou-De Lin
2013 — conf
An Unsupervised Learning Model to Perform Side Channel Attack.
PAKDD (1)
Jung-Wei Chou, Min-Huang Chu, Yi-Lin Tsai, Yun Jin, Chen-Mou Cheng, Shou-De Lin
2013 — conf
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013.
KDD Cup
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
2013 A* conf
Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems.
ICDM
Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons
2013 — conf
Effective string processing and matching for author disambiguation.
KDD Cup
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
2013 — conf
Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection.
PAKDD (1)
Yu-Chun Shen, Tsung-Ting Kuo, I-Ning Yeh, Tzu-Ting Chen, Shou-De Lin
2013 A* conf
Indexed block coordinate descent for large-scale linear classification with limited memory.
KDD
Ian En-Hsu Yen, Chun-Fu Chang, Ting-Wei Lin, Shan-Wei Lin, Shou-De Lin
2013 J jnl
Mining and generating large-scaled social networks via MapReduce.
Soc. Netw. Anal. Min.
Yi-Chen Lo, Hung-Che Lai, Cheng-Te Li, Shou-De Lin
2013 J jnl
Modeling and evaluating information propagation in a microblogging social network.
Soc. Netw. Anal. Min.
Cheng-Te Li, Tsung-Ting Kuo, Chien-Tung Ho, San-Chuan Hung, Wei-Shih Lin, Shou-De Lin
2013 A conf
Modeling the Diffusion of Preferences on Social Networks.
SDM
San-Chuan Hung, Perng-Hwa Kung, Shou-De Lin, Jing-Kai Lou, Chin-Hua Tsai, Fu-Min Wang
2013 — ed.
Proceedings of the IJCNLP Workshop on Natural Language Processing for Social Media, SocialNLP@IJCNLP 2013, Nagoya, Japan, October 14 - 18, 2013
SocialNLP@IJCNLP
Shou-De Lin, Lun-Wei Ku, Tsung-Ting Kuo
2013 A* conf
Sampling Heterogeneous Networks.
ICDM
Cheng-Lun Yang, Perng-Hwa Kung, Cheng-Te Li, Chun-An Chen, Shou-De Lin
2013 B conf
Semantic v.s. Positions: Utilizing Balanced Proximity in Language Model Smoothing for Information Retrieval.
IJCNLP
Rui Yan, Han Jiang, Mirella Lapata, Shou-De Lin, Xueqiang Lv, Xiaoming Li
2013 — conf
Semantically sampling in heterogeneous social networks.
WWW (Companion Volume)
Cheng-Lun Yang, Perng-Hwa Kung, Chun-An Chen, Shou-De Lin
2013 — conf
Time-Sensitive Route Planning Using Location-Based Data.
ICDM Workshops
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2013 A* conf
Unsupervised link prediction using aggregative statistics on heterogeneous social networks.
KDD
Tsung-Ting Kuo, Rui Yan, Yu-Yang Huang, Perng-Hwa Kung, Shou-De Lin
2013 J jnl
What distinguish one from its peers in social networks?
Data Min. Knowl. Discov.
Yi-Chen Lo, Jhao-Yin Li, Mi-Yen Yeh, Shou-De Lin, Jian Pei
2013 A* conf
i, Poet: Automatic Chinese Poetry Composition through a Generative Summarization Framework under Constrained Optimization.
IJCAI
Rui Yan, Han Jiang, Mirella Lapata, Shou-De Lin, Xueqiang Lv, Xiaoming Li
2012 — conf
A Learning-Based Framework to Utilize E-HowNet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions.
TAAI
Min-Huang Chu, Wen-Yu Chen, Shou-De Lin
2012 — conf
A Linear Ensemble of Individual and Blended Models for Music Rating Prediction.
KDD Cup
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
2012 C conf
A Ranking-based KNN Approach for Multi-Label Classification.
ACML
Tsung-Hsien Chiang, Hung-Yi Lo, Shou-De Lin
2012 J jnl
A social network evolution model based on seniority.
Soc. Netw. Anal. Min.
Yi-Kuang Ko, Jing-Kai Lou, Cheng-Te Li, Shou-De Lin, Shyh-Kang Jeng
2012 — conf
Centrality Analysis, Role-Based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks.
SocialCom/PASSAT
Cheng-Te Li, Shou-De Lin
2012 — conf
CrowDiffuse: information diffusion over crowds with social network.
SIGGRAPH Posters
Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin
2012 — conf
Dynamic selection of activation targets to boost the influence spread in social networks.
WWW (Companion Volume)
Cheng-Te Li, Man-Kwan Shan, Shou-De Lin
2012 A* conf
EvaPlanner: an evacuation planner with social-based flocking kinetics.
KDD
Cheng-Te Li, Shou-De Lin
2012 — conf
Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks.
ACL (2)
Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, Wei-Fen Lin
2012 J jnl
Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction.
Int. J. Comput. Linguistics Chin. Lang. Process.
Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen, Shou-De Lin
2012 B conf
Exploiting and Evaluating MapReduce for Large-Scale Graph Mining.
ASONAM
Hung-Che Lai, Cheng-Te Li, Yi-Chen Lo, Shou-De Lin
2012 — conf
Exploiting large-scale check-in data to recommend time-sensitive routes.
UrbComp@KDD
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2012 — conf
Finding influential seed successors in social networks.
WWW (Companion Volume)
Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin, Man-Kwan Shan
2012 — conf
Frequent temporal social behavior search in information networks.
WWW (Companion Volume)
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2012 Misc conf
Generalized k-labelset ensemble for multi-label classification.
ICASSP
Hung-Yi Lo, Shou-De Lin, Hsin-Min Wang
2012 — conf
Influence propagation and maximization for heterogeneous social networks.
WWW (Companion Volume)
Cheng-Te Li, Shou-De Lin, Man-Kwan Shan
2012 A* conf
Information propagation game: a tool to acquire humanplaying data for multiplayer influence maximization on social networks.
KDD
Hung-Hsuan Chen, Yan-Bin Ciou, Shou-De Lin
2012 A* conf
Learning-based time-sensitive re-ranking for web search.
SIGIR
Po-Tzu Chang, Yen-Chieh Huang, Cheng-Lun Yang, Shou-De Lin, Pu-Jen Cheng
2012 — conf
Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation.
KDD Cup
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
2012 — conf
On the effectiveness of using state-of-the-art machine learning techniques to launch cryptographic distinguishing attacks.
AISec
Jung-Wei Chou, Shou-De Lin, Chen-Mou Cheng
2012 — conf
Online Plagiarized Detection Through Exploiting Lexical, Syntax, and Semantic Information.
ACL (System Demonstrations)
Wan-Yu Lin, Nanyun Peng, Chun-Chao Yen, Shou-De Lin
2012 — conf
Parallelizing Preferential Attachment Models for Generating Large-Scale Social Networks that Cannot Fit into Memory.
SocialCom/PASSAT
Yi-Chen Lo, Cheng-Te Li, Shou-De Lin
2012 Misc conf
Prediction-based outlier detection with explanations.
GrC
Liang-Chieh Chen, Tsung-Ting Kuo, Wei-Chi Lai, Shou-De Lin, Chi-Hung Tsai
2012 — conf
Regional subgraph discovery in social networks.
WWW (Companion Volume)
Cheng-Te Li, Man-Kwan Shan, Shou-De Lin
2012 — conf
TripRec: recommending trip routes from large scale check-in data.
WWW (Companion Volume)
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2012 — conf
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
Wan-Chen Lin, Tsung-Ting Kuo, Tung-Jia Chang, Chueh-An Yen, Chao-Ju Chen, Shou-De Lin
2011 — conf
Audio Tag Annotation and Retrieval Using Tag Count Information.
MMM (1)
Hung-Yi Lo, Shou-De Lin, Hsin-Min Wang
2011 — conf
BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data.
ICDM Workshops
Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin
2011 A conf
Context-based people search in labeled social networks.
CIKM
Cheng-Te Li, Man-Kwan Shan, Shou-De Lin
2011 J jnl
Cost-Sensitive Multi-Label Learning for Audio Tag Annotation and Retrieval.
IEEE Trans. Multim.
Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang, Shou-De Lin
2011 Misc conf
Cost-sensitive stacking for audio tag annotation and retrieval.
ICASSP
Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang, Shou-De Lin
2011 A* conf
Exploiting endorsement information and social influence for item recommendation.
SIGIR
Cheng-Te Li, Shou-De Lin, Man-Kwan Shan
2011 — conf
Finding influential mediators in social networks.
WWW (Companion Volume)
Cheng-Te Li, Shou-De Lin, Man-Kwan Shan
2011 — conf
IMASS: An Intelligent Microblog Analysis and Summarization System.
ACL (System Demonstrations)
Jui-Yu Weng, Cheng-Lun Yang, Bo-Nian Chen, Yen-Kai Wang, Shou-De Lin
2011 J jnl
Learning-based concept-hierarchy refinement through exploiting topology, content and social information.
Inf. Sci.
Tsung-Ting Kuo, Shou-De Lin
2011 — conf
MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages.
ACL (System Demonstrations)
Cheng-Te Li, Chien-Yuan Wang, Chien-Lin Tseng, Shou-De Lin
2011 B conf
Modeling and Visualizing Information Propagation in a Micro-blogging Platform.
ASONAM
Chien-Tung Ho, Cheng-Te Li, Shou-De Lin
2011 A* conf
PhotoFeel: feeling your photo collection with graph-based audiovisual flocking.
ACM Multimedia
Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin
2011 — ed.
Social Informatics - Third International Conference, SocInfo 2011, Singapore, October 6-8, 2011. Proceedings
SocInfo
Anwitaman Datta, Stuart W. Shulman, Baihua Zheng, Shou-De Lin, Aixin Sun, Ee-Peng Lim
2011 A* conf
Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling.
KDD
Cheng-Te Li, Shou-De Lin
2011 — conf
Time-Aware Ranking in Dynamic Citation Networks.
ICDM Workshops
Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman
2010 — conf
Communication Structure Discovery via Information Asymmetry in an Organizational Social Network.
Web Intelligence
Cheng-Te Li, Shou-De Lin
2010 B conf
Designing, Analyzing and Exploiting Stake-Based Social Networks.
ASONAM
Tsung-Ting Kuo, Jung-Jung Yeh, Chih-Jen Lin, Shou-De Lin
2010 J jnl
Discovering Correction Rules for Auto Editing.
Int. J. Comput. Linguistics Chin. Lang. Process.
Anta Huang, Tsung-Ting Kuo, Ying-Chun Lai, Shou-De Lin
2010 — conf
Identifying Correction Rules for Auto Editing.
ROCLING
Anta Huang, Tsung-Ting Kuo, Ying-Chun Lai, Shou-De Lin
2010 — ch.
Mining Heterogeneous Social Networks for Egocentric Information Abstraction.
From Sociology to Computing in Social Networks
Cheng-Te Li, Shou-De Lin
2010 A* conf
Pusic: musicalize microblog messages for summarization and exploration.
WWW
Cheng-Te Li, Hung-Che Lai, Chien-Tung Ho, Chien-Lin Tseng, Shou-De Lin
2010 — conf
SocioCrowd: a social-network-based framework for crowd simulation.
SIGGRAPH Posters
Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin
2010 B conf
What Can the Temporal Social Behavior Tell Us? An Estimation of Vertex-Betweenness Using Dynamic Social Information.
ASONAM
Jing-Kai Lou, Shou-De Lin, Kuan-Ta Chen, Chin-Laung Lei
2009 — conf
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes.
KDD Cup
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
2009 B conf
Egocentric Information Abstraction for Heterogeneous Social Networks.
ASONAM
Cheng-Te Li, Shou-De Lin
2008 C conf
A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation.
CICLing
Shou-De Lin, Karin Verspoor
2008 J jnl
Discovering and Explaining Abnormal Nodes in Semantic Graphs.
IEEE Trans. Knowl. Data Eng.
Shou-De Lin, Hans Chalupsky
2008 J jnl
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method.
SIGKDD Explor.
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
2006 J jnl
Discovering the linear writing order of a two-dimensional ancient hieroglyphic script.
Artif. Intell.
Shou-De Lin, Kevin Knight
2005 J jnl
SERGEANT: A framework for building more flexible web agents by exploiting a search engine.
Web Intell. Agent Syst.
Shou-De Lin, Craig A. Knoblock
2004 A* conf
Interesting Instance Discovery in Multi-Relational Data.
AAAI
Shou-De Lin
2003 — conf
Exploiting a Search Engine to Develop More Flexible Web Agents.
Web Intelligence
Shou-De Lin, Craig A. Knoblock
2003 A* conf
Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis.
ICDM
Shou-De Lin, Hans Chalupsky
2003 J jnl
Using unsupervised link discovery methods to find interesting facts and connections in a bibliography dataset.
SIGKDD Explor.
Shou-De Lin, Hans Chalupsky
2001 J jnl
Designing the Market Game for a Trading Agent Competition.
IEEE Internet Comput.
Michael P. Wellman, Peter R. Wurman, Kevin O'Malley, Roshan Bangera, Shou-De Lin, Daniel M. Reeves, William E. Walsh