| 2026 | ACL | LiveCLKTBench: Towards Reliable Evaluation of Cross-Lingual Knowledge Transfer in Multilingual LLMs. | 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 |
| 2026 | ACL | Beyond Facts- Benchmarking Distributional Reading Comprehension in Large Language Models. | Pei-Fu Guo, Ya-An Tsai, Chun-Chia Hsu, Kai-Xin Chen, Yun-Da Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, Shou-De Lin |
| 2026 | ACL | Role-Sensitive Neurons: A Neuron-Level Gain Control Mechanism for Confidence Steering. | Peiwen Huang, Chih-Hao Hsu, Tzu-Hung Huang, Shou-De Lin |
| 2025 | AAAI | Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting. | Yun-Da Tsai, Ting-Yu Yen, Keng-Te Liao, Shou-De Lin |
| 2025 | CCS | Poster: When Logs Misbehave: Retrieving Known APTs from Noisy Graphs. | Guo-Wei Wong, Yi-Ting Huang, Ying-Ren Guo, Ming-Chuan Yang, Shou-De Lin, Wang-Chien Lee, Meng Chang Chen |
| 2025 | EMNLP | Benchmarking Uncertainty Metrics for LLM Target-Aware Search. | Pei-Fu Guo, Yun-Da Tsai, Shou-De Lin |
| 2025 | EMNLP | Neuron-Level Differentiation of Memorization and Generalization in Large Language Models. | 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 | EMNLP | Text-centric Alignment for Bridging Test-time Unseen Modality. | Yun-Da Tsai, Ting-Yu Yen, Pei-Fu Guo, Zhe-Yan Li, Shou-De Lin |
| 2025 | PAKDD | Differentiable Good Arm Identification. | Yun-Da Tsai, Tzu-Hsien Tsai, Shou-De Lin |
| 2025 | PAKDD | LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem. | Yun-Ang Wu, Yun-Da Tsai, Shou-De Lin |
| 2024 | AAAI | Toward More Generalized Malicious URL Detection Models. | Yun-Da Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin |
| 2024 | ACL | Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries. | Yu-Hsiang Huang, Yu-Che Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin |
| 2024 | PAKDD | Handling Concept Drift in Non-stationary Bandit Through Predicting Future Rewards. | Yun-Da Tsai, Shou-De Lin |
| 2024 | PAKDD | lil'HDoC: An Algorithm for Good Arm Identification Under Small Threshold Gap. | Tzu-Hsien Tsai, Yun-Da Tsai, Shou-De Lin |
| 2023 | CIKM | Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness. | Cayon Liow, Cheng-Te Li, Chun-Pai Yang, Shou-De Lin |
| 2023 | CIKM | GraphFC: Customs Fraud Detection with Label Scarcity. | Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin |
| 2023 | PAKDD | UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledge Graph Attention Network. | Yen-Ching Tseng, Zu-Mu Chen, Mi-Yen Yeh, Shou-De Lin |
| 2022 | DSAA | Towards ℓ1 Regularization for Deep Neural Networks: Model Sparsity Versus Task Difficulty. | Ta-Chun Shen, Chun-Pai Yang, Ian En-Hsu Yen, Shou-De Lin |
| 2022 | PAKDD | SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling. | Chih-Chun Yang, Cheng-Te Li, Shou-De Lin |
| 2021 | CIKM | Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus. | Yun-Da Tsai, Cheng-Kuan Chen, Shou-De Lin |
| 2020 | ICIP | How Incompletely Segmented Information Affects Multi-Object Tracking and Segmentation (MOTS). | Yu-Sheng Chou, Chien-Yao Wang, Shou-De Lin, Hong-Yuan Mark Liao |
| 2019 | ALT | Online Linear Optimization with Sparsity Constraints. | Jun-Kun Wang, Chi-Jen Lu, Shou-De Lin |
| 2019 | AVSS | Dynamic Gallery for Real-Time Multi-Target Multi-Camera Tracking. | Yu-Sheng Chou, Chien-Yao Wang, Ming-Chiao Chen, Shou-De Lin, Hong-Yuan Mark Liao |
| 2019 | EMNLP | Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training. | Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin |
| 2019 | EMNLP | Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator. | Liang-Hsin Shen, Pei-Lun Tai, Chao-Chung Wu, Shou-De Lin |
| 2019 | ICML | MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement. | Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin |
| 2019 | NAACL | Self-Discriminative Learning for Unsupervised Document Embedding. | Hong-You Chen, Chin-Hua Hu, Leila Wehbe, Shou-De Lin |
| 2019 | RecSys | A-HA: a hybrid approach for hotel recommendation. | Kung-Hsiang Huang, Yi-Fu Fu, Yi-Ting Lee, Tzong-Hann Lee, Yao-Chun Chan, Yi-Hui Lee, Shou-De Lin |
| 2019 | WWW | MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes. | Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin |
| 2018 | AAAI | A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. | Yueh-Hua Wu, Shou-De Lin |
| 2018 | AIES | Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping. | Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin |
| 2018 | ICASSP | How Sampling Rate Affects Cross-Domain Transfer Learning for Video Description. | Yu-Sheng Chou, Pai-Heng Hsiao, Shou-De Lin, Hong-Yuan Mark Liao |
| 2018 | WSDM | WSDM Cup 2018: Music Recommendation and Churn Prediction. | Yian Chen, Xing Xie, Shou-De Lin, Arden Chiu |
| 2017 | DSAA | A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. | Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin |
| 2017 | DSAA | Ensemble-Based Location Tracking Using Passive RFID. | Hao-Ying Liang, Yun-Tung Shieh, Addicam Sanjay, Shao-Wen Yang, Shou-De Lin |
| 2017 | ICML | Latent Feature Lasso. | Ian En-Hsu Yen, Wei-Cheng Lee, Sung-En Chang, Arun Sai Suggala, Shou-De Lin, Pradeep Ravikumar |
| 2017 | PAKDD | A Classification Model for Diverse and Noisy Labelers. | Hao-En Sung, Cheng-Kuan Chen, Han Xiao, Shou-De Lin |
| 2017 | WSDM | Unsupervised Ranking using Graph Structures and Node Attributes. | Chin-Chi Hsu, Yi-An Lai, Wen-Hao Chen, Ming-Han Feng, Shou-De Lin |
| 2016 | DSAA | Parallel Least-Squares Policy Iteration. | Jun-Kun Wang, Shou-De Lin |
| 2016 | DSAA | Efficient Sampling-Based ADMM for Distributed Data. | Jun-Kun Wang, Shou-De Lin |
| 2016 | EMNLP | Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation. | Yu-Yang Huang, Shou-De Lin |
| 2016 | PAKDD | Transfer-Learning Based Model for Reciprocal Recommendation. | Chia-Hsin Ting, Hung-Yi Lo, Shou-De Lin |
| 2015 | DSAA | Learning better while sending less: Communication-efficient online semi-supervised learning in client-server settings. | Han Xiao, Shou-De Lin, Mi-Yen Yeh, Phillip B. Gibbons, Claudia Eckert |
| 2015 | ICDM | LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda. | Guang-He Lee, Shou-De Lin |
| 2015 | IJCAI | Measuring and Recommending Time-Sensitive Routes from Location-based Data. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2015 | KDD | Inferring Air Quality for Station Location Recommendation Based on Urban Big Data. | Hsun-Ping Hsieh, Shou-De Lin, Yu Zheng |
| 2015 | KDD | A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks. | Su-Chen Lin, Shou-De Lin, Ming-Syan Chen |
| 2014 | ACL | Enriching Cold Start Personalized Language Model Using Social Network Information. | Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin |
| 2014 | DSAA | Optimizing specificity under perfect sensitivity for medical data classification. | Cho-Yi Hsiao, Hung-Yi Lo, Tu-Chun Yin, Shou-De Lin |
| 2014 | DSAA | Minimizing expected loss for risk-avoiding reinforcement learning. | Jung-Jung Yeh, Tsung-Ting Kuo, William Chen, Shou-De Lin |
| 2014 | ICDM | Trip Router: A Time-Sensitive Route Recommender System. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2014 | ICDM | Neural Conditional Energy Models for Multi-label Classification. | How Jing, Shou-De Lin |
| 2014 | ICDM | A Transfer Probabilistic Collective Factorization Model to Handle Sparse Data in Collaborative Filtering. | How Jing, An-Chun Liang, Shou-De Lin, Yu Tsao |
| 2014 | KDD | Matching users and items across domains to improve the recommendation quality. | Chung-Yi Li, Shou-De Lin |
| 2014 | PAKDD | A Content-Based Matrix Factorization Model for Recipe Recommendation. | Chia-Jen Lin, Tsung-Ting Kuo, Shou-De Lin |
| 2014 | VCIP | Communication-efficient multi-view keyframe extraction in distributed video sensors. | 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 |
| 2013 | ICDM | Time-Sensitive Route Planning Using Location-Based Data. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2013 | ICDM | Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems. | Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons |
| 2013 | ICDM | Sampling Heterogeneous Networks. | Cheng-Lun Yang, Perng-Hwa Kung, Cheng-Te Li, Chun-An Chen, Shou-De Lin |
| 2013 | IJCAI | i, Poet: Automatic Chinese Poetry Composition through a Generative Summarization Framework under Constrained Optimization. | Rui Yan, Han Jiang, Mirella Lapata, Shou-De Lin, Xueqiang Lv, Xiaoming Li |
| 2013 | IJCNLP | Semantic v.s. Positions: Utilizing Balanced Proximity in Language Model Smoothing for Information Retrieval. | Rui Yan, Han Jiang, Mirella Lapata, Shou-De Lin, Xueqiang Lv, Xiaoming Li |
| 2013 | KDD | Effective string processing and matching for author disambiguation. | 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 | KDD | Unsupervised link prediction using aggregative statistics on heterogeneous social networks. | Tsung-Ting Kuo, Rui Yan, Yu-Yang Huang, Perng-Hwa Kung, Shou-De Lin |
| 2013 | KDD | Indexed block coordinate descent for large-scale linear classification with limited memory. | Ian En-Hsu Yen, Chun-Fu Chang, Ting-Wei Lin, Shan-Wei Lin, Shou-De Lin |
| 2013 | PAKDD | An Unsupervised Learning Model to Perform Side Channel Attack. | Jung-Wei Chou, Min-Huang Chu, Yi-Lin Tsai, Yun Jin, Chen-Mou Cheng, Shou-De Lin |
| 2013 | PAKDD | Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection. | Yu-Chun Shen, Tsung-Ting Kuo, I-Ning Yeh, Tzu-Ting Chen, Shou-De Lin |
| 2013 | WWW | Semantically sampling in heterogeneous social networks. | Cheng-Lun Yang, Perng-Hwa Kung, Chun-An Chen, Shou-De Lin |
| 2013 | SDM | Modeling the Diffusion of Preferences on Social Networks. | San-Chuan Hung, Perng-Hwa Kung, Shou-De Lin, Jing-Kai Lou, Chin-Hua Tsai, Fu-Min Wang |
| 2012 | ACL | Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks. | Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, Wei-Fen Lin |
| 2012 | CCS | On the effectiveness of using state-of-the-art machine learning techniques to launch cryptographic distinguishing attacks. | Jung-Wei Chou, Shou-De Lin, Chen-Mou Cheng |
| 2012 | GRC | Prediction-based outlier detection with explanations. | Liang-Chieh Chen, Tsung-Ting Kuo, Wei-Chi Lai, Shou-De Lin, Chi-Hung Tsai |
| 2012 | ICASSP | Generalized k-labelset ensemble for multi-label classification. | Hung-Yi Lo, Shou-De Lin, Hsin-Min Wang |
| 2012 | KDD | Information propagation game: a tool to acquire humanplaying data for multiplayer influence maximization on social networks. | Hung-Hsuan Chen, Yan-Bin Ciou, Shou-De Lin |
| 2012 | KDD | Exploiting large-scale check-in data to recommend time-sensitive routes. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2012 | KDD | EvaPlanner: an evacuation planner with social-based flocking kinetics. | Cheng-Te Li, Shou-De Lin |
| 2012 | SIGGRAPH | CrowDiffuse: information diffusion over crowds with social network. | Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin |
| 2012 | WWW | Frequent temporal social behavior search in information networks. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2012 | WWW | TripRec: recommending trip routes from large scale check-in data. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2012 | WWW | Finding influential seed successors in social networks. | Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin, Man-Kwan Shan |
| 2012 | WWW | Influence propagation and maximization for heterogeneous social networks. | Cheng-Te Li, Shou-De Lin, Man-Kwan Shan |
| 2012 | WWW | Dynamic selection of activation targets to boost the influence spread in social networks. | Cheng-Te Li, Man-Kwan Shan, Shou-De Lin |
| 2012 | WWW | Regional subgraph discovery in social networks. | Cheng-Te Li, Man-Kwan Shan, Shou-De Lin |
| 2012 | SIGIR | Learning-based time-sensitive re-ranking for web search. | Po-Tzu Chang, Yen-Chieh Huang, Cheng-Lun Yang, Shou-De Lin, Pu-Jen Cheng |
| 2011 | ACL | MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages. | Cheng-Te Li, Chien-Yuan Wang, Chien-Lin Tseng, Shou-De Lin |
| 2011 | ACL | IMASS: An Intelligent Microblog Analysis and Summarization System. | Jui-Yu Weng, Cheng-Lun Yang, Bo-Nian Chen, Yen-Kai Wang, Shou-De Lin |
| 2011 | CIKM | Context-based people search in labeled social networks. | Cheng-Te Li, Man-Kwan Shan, Shou-De Lin |
| 2011 | ICASSP | Cost-sensitive stacking for audio tag annotation and retrieval. | Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang, Shou-De Lin |
| 2011 | ICDM | Time-Aware Ranking in Dynamic Citation Networks. | Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman |
| 2011 | ICDM | BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data. | Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin |
| 2011 | KDD | Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling. | Cheng-Te Li, Shou-De Lin |
| 2011 | MMM | Audio Tag Annotation and Retrieval Using Tag Count Information. | Hung-Yi Lo, Shou-De Lin, Hsin-Min Wang |
| 2011 | WWW | Finding influential mediators in social networks. | Cheng-Te Li, Shou-De Lin, Man-Kwan Shan |
| 2011 | SIGIR | Exploiting endorsement information and social influence for item recommendation. | Cheng-Te Li, Shou-De Lin, Man-Kwan Shan |
| 2010 | SIGGRAPH | SocioCrowd: a social-network-based framework for crowd simulation. | Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin |
| 2010 | WWW | Pusic: musicalize microblog messages for summarization and exploration. | Cheng-Te Li, Hung-Che Lai, Chien-Tung Ho, Chien-Lin Tseng, Shou-De Lin |
| 2008 | CICLING | A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation. | Shou-De Lin, Karin Verspoor |
| 2004 | AAAI | Interesting Instance Discovery in Multi-Relational Data. | Shou-De Lin |
| 2003 | ICDM | Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis. | Shou-De Lin, Hans Chalupsky |