Some Similarity Computation Methods in Novelty Detection. - Ming-Feng Tsai; Hsin-Hsi Chen (TREC, 2002)

Approach of Information Retrieval with Reference Corpus to Novelty Detection. - Ming-Feng Tsai; Ming-Hung Hsu; Hsin-Hsi Chen (TREC, 2003)

Multilingual Relevant Sentence Detection Using Reference Corpus. - Ming-Hung Hsu; Ming-Feng Tsai; Hsin-Hsi Chen (AIRS, 2004)

Identification of Relevant and Novel Sentences Using Reference Corpus. - Hsin-Hsi Chen; Ming-Feng Tsai; Ming-Hung Hsu (ECIR, 2004)

Similarity Computation in Novelty Detection and Biomedical Text Categorization. - Ming-Feng Tsai; Ming-Hung Hsu; Hsin-Hsi Chen (TREC, 2004)

Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison. - Ming-Hung Hsu; Ming-Feng Tsai; Hsin-Hsi Chen (AIRS, 2006)

Learning to rank: from pairwise approach to listwise approach. - Zhe Cao; Tao Qin 001; Tie-Yan Liu; Ming-Feng Tsai; Hang Li 001 (ICML, 2007)

FRank: a ranking method with fidelity loss. - Ming-Feng Tsai; Tie-Yan Liu; Tao Qin 001; Hsin-Hsi Chen; Wei-Ying Ma (SIGIR, 2007)

Combining WordNet and ConceptNet for Automatic Query Expansion: A Learning Approach. - Ming-Hung Hsu; Ming-Feng Tsai; Hsin-Hsi Chen (AIRS, 2008)

Accurate and analytical statistical spatial correlation modeling for VLSI DFM applications. - Jui-Hsiang Liu; Ming-Feng Tsai; Lumdo Chen; Charlie Chung-Ping Chen (DAC, 2008)

Classification of the thyroid nodules using support vector machines. - Chuan-Yu Chang; Ming-Feng Tsai; Shao-Jer Chen (IJCNN, 2008)

A study of learning a merge model for multilingual information retrieval. - Ming-Feng Tsai; Yu-Ting Wang; Hsin-Hsi Chen (SIGIR, 2008)

Query-level loss functions for information retrieval. - Tao Qin 001; Xu-Dong Zhang 001; Ming-Feng Tsai; De-Sheng Wang; Tie-Yan Liu; Hang Li 001 (Inf. Process. Manag., 2008)

Latent Prosody Model-Assisted Mandarin Accent Identification. - Yuan-Fu Liao; Shuan-Chen Yeh; Ming-Feng Tsai; Wei-Hsiung Ting; Sen-Chia Chang (ROCLING, 2009)

Accurate and Analytical Statistical Spatial Correlation Modeling Based on Singular Value Decomposition for VLSI DFM Applications. - Jui-Hsiang Liu; Ming-Feng Tsai; Lumdo Chen; Charlie Chung-Ping Chen (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010)

NTU Approaches to Subtopic Mining and Document Ranking at NTCIR-9 Intent Task. - Chieh-Jen Wang; Yung-Wei Lin; Ming-Feng Tsai; Hsin-Hsi Chen (NTCIR, 2011)

Learning a merge model for multilingual information retrieval. - Ming-Feng Tsai; Hsin-Hsi Chen; Yu-Ting Wang (Inf. Process. Manag., 2011)

Visualization on Financial Terms via Risk Ranking from Financial Reports. - Ming-Feng Tsai; Chuan-Ju Wang (COLING (Demos), 2012)

Discovering leaders from social network by action cascade. - Ming-Feng Tsai; Chih-Wei Tzeng; Arbee L. P. Chen (SNS, 2012)

Post-Modern Portfolio Theory for Information Retrieval. - Ming-Feng Tsai; Chuan-Ju Wang (INNS-WC, 2012)

Risk Ranking from Financial Reports. - Ming-Feng Tsai; Chuan-Ju Wang (ECIR, 2013)

Video retargeting based frame-compatible stereo video coding. - Siao-Wei Chen; Ming-Feng Tsai; Jui-Chiu Chiang (ICASSP, 2013)

Financial Sentiment Analysis for Risk Prediction. - Chuan-Ju Wang; Ming-Feng Tsai; Tse Liu; Chin-Ting Chang (IJCNLP, 2013)

Using emotional context from article for contextual music recommendation. - Chih-Ming Chen 003; Ming-Feng Tsai; Jen-Yu Liu; Yi-Hsuan Yang (ACM Multimedia, 2013)

Music Recommendation Based on Multiple Contextual Similarity Information. - Chih-Ming Chen 003; Ming-Feng Tsai; Jen-Yu Liu; Yi-Hsuan Yang (Web Intelligence, 2013)

Mining subtopics from different aspects for diversifying search results. - Chieh-Jen Wang; Yung-Wei Lin; Ming-Feng Tsai; Hsin-Hsi Chen (Inf. Retr., 2013)

Financial Keyword Expansion via Continuous Word Vector Representations. - Ming-Feng Tsai; Chuan-Ju Wang (EMNLP, 2014)

Leverage Item Popularity and Recommendation Quality via Cost-Sensitive Factorization Machines. - Chih-Ming Chen 003; Hsin-Ping Chen; Ming-Feng Tsai; Yi-Hsuan Yang (ICDM Workshops, 2014)

Improving ranking performance with cost-sensitive ordinal classification via regression. - Yu-Xun Ruan; Hsuan-Tien Lin; Ming-Feng Tsai (Inf. Retr., 2014)

Discovering leaders from social network by action cascade. - Ming-Feng Tsai; Chih-Wei Tzeng; Zhe-Li Lin; Arbee L. P. Chen (Soc. Netw. Anal. Min., 2014)

Do You Have a Pop Face? Here is a Pop Song. Using Profile Pictures to Mitigate the Cold-start Problem in Music Recommender Systems. - Chih-Ming Chen 003; Po-Chuan Chien; Yu-Ching Lin; Ming-Feng Tsai; Yi-Hsuan Yang (RecSys Posters, 2015)

Social Influencer Analysis with Factorization Machines. - Ming-Feng Tsai; Chuan-Ju Wang; Zhe-Li Lin (WebSci, 2015)

Deep belief networks for predicting corporate defaults. - Shu-Hao Yeh; Chuan-Ju Wang; Ming-Feng Tsai (WOCC, 2015)

FIN10K: A Web-based Information System for Financial Report Analysis and Visualization. - Yu-Wen Liu; Liang-Chih Liu; Chuan-Ju Wang; Ming-Feng Tsai (CIKM, 2016)

Social Network Clustering by Using Genetic Algorithm: A Case Study. - Ming-Feng Tsai; Chun-Yi Lu; Churn-Jung Liau; Tuan-Fang Fan (IEA/AIE, 2016)

Dish Discovery via Word Embeddings on Restaurant Reviews. - Chih-Yu Chao; Yi-Fan Chu; Yi Ho; Chuan-Ju Wang; Ming-Feng Tsai (RecSys Posters, 2016)

Query-based Music Recommendations via Preference Embedding. - Chih-Ming Chen 003; Ming-Feng Tsai; Yu-Ching Lin; Yi-Hsuan Yang (RecSys, 2016)

Music Playlist Recommendation via Preference Embedding. - Chih-Ming Chen 003; Chun-Yao Yang; Chih-Chun Hsia; Yian Chen; Ming-Feng Tsai (RecSys Posters, 2016)

Discovering Finance Keywords via Continuous-Space Language Models. - Ming-Feng Tsai; Chuan-Ju Wang; Po-Chuan Chien (ACM Trans. Manag. Inf. Syst., 2016)

Text Embedding for Sub-Entity Ranking from User Reviews. - Chih-Yu Chao; Yi-Fan Chu; Hsiu-Wei Yang; Chuan-Ju Wang; Ming-Feng Tsai (CIKM, 2017)

ICE: Item Concept Embedding via Textual Information. - Chuan-Ju Wang; Ting-Hsiang Wang; Hsiu-Wei Yang; Bo-Sin Chang; Ming-Feng Tsai (SIGIR, 2017)

Ranking Influencers in Social Collaboration Networks. - Chih-Wei Chang; Chia-Yu Tsui; Zhe-Li Lin; Chao-Ching Chiang; Chuan-Ju Wang; Ming-Feng Tsai (TAAI, 2017)

Vertex-Context Sampling for Weighted Network Embedding. - Chih-Ming Chen 003; Yi-Hsuan Yang; Yian Chen; Ming-Feng Tsai (CoRR, 2017)

On the risk prediction and analysis of soft information in finance reports. - Ming-Feng Tsai; Chuan-Ju Wang (Eur. J. Oper. Res., 2017)

RiskFinder: A Sentence-level Risk Detector for Financial Reports. - Yu-Wen Liu; Liang-Chih Liu; Chuan-Ju Wang; Ming-Feng Tsai (NAACL-HLT (Demonstrations), 2018)

HOP-rec: high-order proximity for implicit recommendation. - Jheng-Hong Yang; Chih-Ming Chen 003; Chuan-Ju Wang; Ming-Feng Tsai (RecSys, 2018)

NavWalker: Information Augmented Network Embedding. - Kwei-Herng Lai; Chih-Ming Chen 003; Ming-Feng Tsai; Chuan-Ju Wang (WI, 2018)

Representation Learning for Image-based Music Recommendation. - Chih-Chun Hsia; Kwei-Herng Lai; Yian Chen; Chuan-Ju Wang; Ming-Feng Tsai (CoRR, 2018)

Superhighway: Bypass Data Sparsity in Cross-Domain CF. - Kwei-Herng Lai; Ting-Hsiang Wang; Heng-Yu Chi; Yian Chen; Ming-Feng Tsai; Chuan-Ju Wang (CoRR, 2018)

Simple and robust watermarking scheme based on square-root-modulus technique. - Chun-Yuan Hsiao; Ming-Feng Tsai; Ching-Yu Yang (Multim. Tools Appl., 2018)

FRIDAYS: A Financial Risk Information Detecting and Analyzing System. - Chi-Han Du; Yi-Shyuan Chiang; Kun-Che Tsai; Liang-Chih Liu; Ming-Feng Tsai; Chuan-Ju Wang (AAAI, 2019)

UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews. - Chun-Hsiang Wang; Kang-Chun Fan; Chuan-Ju Wang; Ming-Feng Tsai (AAAI, 2019)

Beyond Word-level to Sentence-level Sentiment Analysis for Financial Reports. - Chi-Han Du; Ming-Feng Tsai; Chuan-Ju Wang (ICASSP, 2019)

SMORe: modularize graph embedding for recommendation. - Chih-Ming Chen 003; Ting-Hsiang Wang; Chuan-Ju Wang; Ming-Feng Tsai (RecSys, 2019)

Negative-Aware Collaborative Filtering. - Sheng-Chieh Lin; Yu-Neng Chuang; Sheng-Fang Yang; Ming-Feng Tsai; Chuan-Ju Wang (RecSys (Late-Breaking Results), 2019)

Query and Answer Expansion from Conversation History. - Jheng-Hong Yang; Sheng-Chieh Lin; Chuan-Ju Wang; Jimmy Lin; Ming-Feng Tsai (TREC, 2019)

Collaborative Similarity Embedding for Recommender Systems. - Chih-Ming Chen 003; Chuan-Ju Wang; Ming-Feng Tsai; Yi-Hsuan Yang (WWW, 2019)

TPR: Text-aware Preference Ranking for Recommender Systems. - Yu-Neng Chuang; Chih-Ming Chen 003; Chuan-Ju Wang; Ming-Feng Tsai; Yuan Fang 001; Ee-Peng Lim (CIKM, 2020)

Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models. - Jheng-Hong Yang; Sheng-Chieh Lin; Rodrigo Nogueira 001; Ming-Feng Tsai; Chuan-Ju Wang; Jimmy Lin (COLING, 2020)

Self-Attentive Sentimental Sentence Embedding for Sentiment Analysis. - Sheng-Chieh Lin; Wen-Yuh Su; Po-Chuan Chien; Ming-Feng Tsai; Chuan-Ju Wang (ICASSP, 2020)

Query Expansion with Semantic-Based Ellipsis Reduction for Conversational IR. - Chia-Yuan Chang; Ning Chen; Wei-Ting Chiang; Chih-Hen Lee; Yu-Hsuan Tseng; Chuan-Ju Wang; Hsien-Hao Chen; Ming-Feng Tsai (TREC, 2020)

Skewness Ranking Optimization for Personalized Recommendation. - Yu-Neng Chuang; Chih-Ming Chen 003; Chuan-Ju Wang; Ming-Feng Tsai (UAI, 2020)

TTTTTackling WinoGrande Schemas. - Sheng-Chieh Lin; Jheng-Hong Yang; Rodrigo Nogueira 001; Ming-Feng Tsai; Chuan-Ju Wang; Jimmy Lin (CoRR, 2020)

Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models. - Sheng-Chieh Lin; Jheng-Hong Yang; Rodrigo Nogueira 001; Ming-Feng Tsai; Chuan-Ju Wang; Jimmy Lin (CoRR, 2020)

Query Reformulation using Query History for Passage Retrieval in Conversational Search. - Sheng-Chieh Lin; Jheng-Hong Yang; Rodrigo Nogueira 001; Ming-Feng Tsai; Chuan-Ju Wang; Jimmy Lin (CoRR, 2020)

Personalized TV Recommendation: Fusing User Behavior and Preferences. - Sheng-Chieh Lin; Ting-Wei Lin; Jing-Kai Lou; Ming-Feng Tsai; Chuan-Ju Wang (CoRR, 2020)

HIVE: Hierarchical Information Visualization for Explainability. - Yi-Ning Juan; Yi-Shyuan Chiang; Shang-Chuan Liu; Ming-Feng Tsai; Chuan-Ju Wang (IJCAI, 2021)

XRR: Explainable Risk Ranking for Financial Reports. - Ting-Wei Lin; Ruei-Yao Sun; Hsuan-Ling Chang; Chuan-Ju Wang; Ming-Feng Tsai (ECML/PKDD (4), 2021)

LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking. - Chih-Hen Lee; Jun-En Ding; Chih-Ming Chen 003; Jing-Kai Lou; Ming-Feng Tsai; Chuan-Ju Wang (SIGIR, 2021)

NFinBERT: A Number-Aware Language Model for Financial Disclosures (short paper). - Hao-Lun Lin; Jr-Shian Wu; Yu-Shiang Huang; Ming-Feng Tsai; Chuan-Ju Wang (SwissText, 2021)

An Exploration Study of Multi-stage Conversational Passage Retrieval: Paraphrase Query Expansion and Multi-view Point-wise Ranking. - Jia-Huei Ju; Chih-Ting Yeh; Cheng-Wei Lin; Chia-Ying Tsao; Jun-En Ding; Chuan-Ju Wang; Ming-Feng Tsai (TREC, 2021)

A Learning Framework with Disposable Auxiliary Networks for Early Prediction of Product Success. - Chih-Ting Yeh; Zhe-Li Lin; Sheng-Chieh Lin; Jing-Kai Lou; Ming-Feng Tsai; Chuan-Ju Wang (WI/IAT, 2021)

Leveraging Affective Hashtags for Ranking Music Recommendations. - Eva Zangerle; Chih-Ming Chen 003; Ming-Feng Tsai; Yi-Hsuan Yang (IEEE Trans. Affect. Comput., 2021)

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting. - Sheng-Chieh Lin; Jheng-Hong Yang; Rodrigo Nogueira 001; Ming-Feng Tsai; Chuan-Ju Wang; Jimmy Lin (ACM Trans. Inf. Syst., 2021)

On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations. - Li-Chung Lin; Cheng-Hung Liu 001; Chih-Ming Chen 003; Kai-Chin Hsu; I-Feng Wu; Ming-Feng Tsai; Chih-Jen Lin (AAAI, 2022)

RecDelta: An Interactive Dashboard on Top-k Recommendation for Cross-model Evaluation. - Yi-Shyuan Chiang; Yu-Ze Liu; Chen-Feng Tsai; Jing-Kai Lou; Ming-Feng Tsai; Chuan-Ju Wang (SIGIR, 2022)

IPR: Interaction-level Preference Ranking for Explicit feedback. - Shih-Yang Liu; Hsien-Hao Chen; Chih-Ming Chen 003; Ming-Feng Tsai; Chuan-Ju Wang (SIGIR, 2022)

CFDA & CLIP at TREC 2022 NeuCLIR Track. - Jia-Huei Ju; Wei-Chih Chen; Heng-Ta Chang; Cheng-Wei Lin; Ming-Feng Tsai; Chuan-Ju Wang (TREC, 2022)

CFDA & CLIP at TREC 2022 Conversational Assistance Track (CAsT). - Jia-Huei Ju; Sheng-Chieh Lin; Li-Young Chang; Ming-Feng Tsai; Chuan-Ju Wang (TREC, 2022)

Item Concept Network: Towards Concept-Based Item Representation Learning. - Ting-Hsiang Wang; Hsiu-Wei Yang; Chih-Ming Chen 003; Ming-Feng Tsai; Chuan-Ju Wang (IEEE Trans. Knowl. Data Eng., 2022)

CPR: Cross-Domain Preference Ranking with User Transformation. - Yu-Ting Huang; Hsien-Hao Chen; Tung-Lin Wu; Chia-Yu Yeh; Jing-Kai Lou; Ming-Feng Tsai; Chuan-Ju Wang (ECIR (2), 2023)

Developing a Deep Learning Model Using Transfer Learning from EfficientNet-b3 to Detect Knee Fracture on X-ray Images. - Shu-Tien Huang; Liong-Rung Liu; Ming-Feng Tsai; Ming-Yuan Huang; Hung-Wen Chiu (ICMHI, 2023)

Improving Conversational Passage Re-ranking with View Ensemble. - Jia-Huei Ju; Sheng-Chieh Lin; Ming-Feng Tsai; Chuan-Ju Wang (SIGIR, 2023)

CFDA & CLIP Labs at TREC'23 Product Search Track. - Jia-Huei Ju; Chung-Kang Lo; Yao-Cheng Lu; Kuan-Lin Lai; Cheng-Wei Huang; Wei-Hsin Chiu; Ming-Feng Tsai; Chuan-Ju Wang (TREC, 2023)

Sockpuppets Detection Using Markov-Driven Graph Convolutional Networks with Ensemble Learning. - Chun-I Fan; Ming-Feng Tsai; Chun-Pin Hu; Ming-Hung Wang (DSC, 2024)

SARA: Semantic-assisted Reinforced Active Learning for Entity Alignment. - Ching-Hsuan Liu; Chih-Ming Chen 003; Jing-Kai Lou; Ming-Feng Tsai; Jiun-Lang Huang; Chuan-Ju Wang (IJCNN, 2024)

Dynamic Margin-based Contrastive Learning for Robust Negative Sampling in Information Retrieval. - Tsai-Tsung Chen; Chuan-Ju Wang; Ming-Feng Tsai (SIGIR, 2025)

Deep-learning-based diagnosis framework for ankle-brachial index defined peripheral arterial disease of lower extremity wound: Comparison with physicians. - Ming-Feng Tsai; Yu-Chang Chu; Wen-Teng Yao; Chia-Meng Yu; Yu-Fan Chen; Shu-Tien Huang; Liong-Rung Liu; Lang-Hua Chiu; Yueh-Hung Lin; Chin-Yi Yang; Kung-Chen Ho; Chieh-Ming Yu; et al. (Comput. Methods Programs Biomed., 2025)