Ming-Feng Tsai

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 54

Top Topics

Recommender Systems

Music Recommendation

Passage Retrieval

Financial Reports

Top Venues

Publications

Yu-Ting Huang, Hsien-Hao Chen, Tung-Lin Wu, Chia-Yu Yeh, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang
CPR: Cross-Domain Preference Ranking with User Transformation. ECIR (2) (2023)
Shu-Tien Huang, Liong-Rung Liu, Ming-Feng Tsai, Ming-Yuan Huang, Hung-Wen Chiu
Developing a Deep Learning Model Using Transfer Learning from EfficientNet-b3 to Detect Knee Fracture on X-ray Images. ICMHI (2023)
Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai, Chuan-Ju Wang
Improving Conversational Passage Re-ranking with View Ensemble. SIGIR (2023)
Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai, Chuan-Ju Wang
Improving Conversational Passage Re-ranking with View Ensemble. CoRR (2023)
Jia-Huei Ju, Sheng-Chieh Lin, Li-Young Chang, Ming-Feng Tsai, Chuan-Ju Wang
CFDA & CLIP at TREC 2022 Conversational Assistance Track (CAsT). TREC (2022)
Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations. AAAI (2022)
Yi-Shyuan Chiang, Yu-Ze Liu, Chen-Feng Tsai, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang
RecDelta: An Interactive Dashboard on Top-k Recommendation for Cross-model Evaluation. SIGIR (2022)
Ting-Hsiang Wang, Hsiu-Wei Yang, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang
Item Concept Network: Towards Concept-Based Item Representation Learning. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Jia-Huei Ju, Wei-Chih Chen, Heng-Ta Chang, Cheng-Wei Lin, Ming-Feng Tsai, Chuan-Ju Wang
CFDA & CLIP at TREC 2022 NeuCLIR Track. TREC (2022)
Shih-Yang Liu, Hsien-Hao Chen, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang
IPR: Interaction-level Preference Ranking for Explicit feedback. SIGIR (2022)
Hao-Lun Lin, Jr-Shian Wu, Yu-Shiang Huang, Ming-Feng Tsai, Chuan-Ju Wang
NFinBERT: A Number-Aware Language Model for Financial Disclosures (short paper). SwissText (2021)
Jia-Huei Ju, Chih-Ting Yeh, Cheng-Wei Lin, Chia-Ying Tsao, Jun-En Ding, Chuan-Ju Wang, Ming-Feng Tsai
An Exploration Study of Multi-stage Conversational Passage Retrieval: Paraphrase Query Expansion and Multi-view Point-wise Ranking. TREC (2021)
Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting. ACM Trans. Inf. Syst. 39 (4) (2021)
Ting-Wei Lin, Ruei-Yao Sun, Hsuan-Ling Chang, Chuan-Ju Wang, Ming-Feng Tsai
XRR: Explainable Risk Ranking for Financial Reports. ECML/PKDD (4) (2021)
Yi-Ning Juan, Yi-Shyuan Chiang, Shang-Chuan Liu, Ming-Feng Tsai, Chuan-Ju Wang
HIVE: Hierarchical Information Visualization for Explainability. IJCAI (2021)
Chih-Hen Lee, Jun-En Ding, Chih-Ming Chen, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang
LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking. SIGIR (2021)
Eva Zangerle, Chih-Ming Chen, Ming-Feng Tsai, Yi-Hsuan Yang
Leveraging Affective Hashtags for Ranking Music Recommendations. IEEE Trans. Affect. Comput. 12 (1) (2021)
Chih-Ting Yeh, Zhe-Li Lin, Sheng-Chieh Lin, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang
A Learning Framework with Disposable Auxiliary Networks for Early Prediction of Product Success. WI/IAT (2021)
Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations. CoRR (2021)
Chia-Yuan Chang, Ning Chen, Wei-Ting Chiang, Chih-Hen Lee, Yu-Hsuan Tseng, Chuan-Ju Wang, Hsien-Hao Chen, Ming-Feng Tsai
Query Expansion with Semantic-Based Ellipsis Reduction for Conversational IR. TREC (2020)
Chuan-Ju Wang, Yu-Neng Chuang, Chih-Ming Chen, Ming-Feng Tsai
Skewness Ranking Optimization for Personalized Recommendation. CoRR (2020)
Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin
Query Reformulation using Query History for Passage Retrieval in Conversational Search. CoRR (2020)
Sheng-Chieh Lin, Wen-Yuh Su, Po-Chuan Chien, Ming-Feng Tsai, Chuan-Ju Wang
Self-Attentive Sentimental Sentence Embedding for Sentiment Analysis. ICASSP (2020)
Jheng-Hong Yang, Sheng-Chieh Lin, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models. COLING (2020)
Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, Ee-Peng Lim
TPR: Text-aware Preference Ranking for Recommender Systems. CIKM (2020)
Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin
Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models. CoRR (2020)
Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai
Skewness Ranking Optimization for Personalized Recommendation. UAI (2020)
Sheng-Chieh Lin, Ting-Wei Lin, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang
Personalized TV Recommendation: Fusing User Behavior and Preferences. CoRR (2020)
Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin
TTTTTackling WinoGrande Schemas. CoRR (2020)
Chi-Han Du, Yi-Shyuan Chiang, Kun-Che Tsai, Liang-Chih Liu, Ming-Feng Tsai, Chuan-Ju Wang
FRIDAYS: A Financial Risk Information Detecting and Analyzing System. AAAI (2019)
Chih-Ming Chen, Ting-Hsiang Wang, Chuan-Ju Wang, Ming-Feng Tsai
SMORe: modularize graph embedding for recommendation. RecSys (2019)
Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yi-Hsuan Yang
Collaborative Similarity Embedding for Recommender Systems. CoRR (2019)
Sheng-Chieh Lin, Yu-Neng Chuang, Sheng-Fang Yang, Ming-Feng Tsai, Chuan-Ju Wang
Negative-Aware Collaborative Filtering. RecSys (Late-Breaking Results) (2019)
Chun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai
UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews. AAAI (2019)
Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yi-Hsuan Yang
Collaborative Similarity Embedding for Recommender Systems. WWW (2019)
Chi-Han Du, Ming-Feng Tsai, Chuan-Ju Wang
Beyond Word-level to Sentence-level Sentiment Analysis for Financial Reports. ICASSP (2019)
Jheng-Hong Yang, Sheng-Chieh Lin, Chuan-Ju Wang, Jimmy Lin, Ming-Feng Tsai
Query and Answer Expansion from Conversation History. TREC (2019)
Kwei-Herng Lai, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang
NavWalker: Information Augmented Network Embedding. WI (2018)
Jheng-Hong Yang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai
HOP-rec: high-order proximity for implicit recommendation. RecSys (2018)
Chun-Yuan Hsiao, Ming-Feng Tsai, Ching-Yu Yang
Simple and robust watermarking scheme based on square-root-modulus technique. Multim. Tools Appl. 77 (23) (2018)
Chih-Chun Hsia, Kwei-Herng Lai, Yian Chen, Chuan-Ju Wang, Ming-Feng Tsai
Representation Learning for Image-based Music Recommendation. CoRR (2018)
Yu-Wen Liu, Liang-Chih Liu, Chuan-Ju Wang, Ming-Feng Tsai
RiskFinder: A Sentence-level Risk Detector for Financial Reports. NAACL-HLT (Demonstrations) (2018)
Kwei-Herng Lai, Ting-Hsiang Wang, Heng-Yu Chi, Yian Chen, Ming-Feng Tsai, Chuan-Ju Wang
Superhighway: Bypass Data Sparsity in Cross-Domain CF. CoRR (2018)
Ming-Feng Tsai, Chuan-Ju Wang
On the risk prediction and analysis of soft information in finance reports. Eur. J. Oper. Res. 257 (1) (2017)
Chih-Ming Chen, Yi-Hsuan Yang, Yian Chen, Ming-Feng Tsai
Vertex-Context Sampling for Weighted Network Embedding. CoRR (2017)
Chih-Yu Chao, Yi-Fan Chu, Hsiu-Wei Yang, Chuan-Ju Wang, Ming-Feng Tsai
Text Embedding for Sub-Entity Ranking from User Reviews. CIKM (2017)
Chuan-Ju Wang, Ting-Hsiang Wang, Hsiu-Wei Yang, Bo-Sin Chang, Ming-Feng Tsai
ICE: Item Concept Embedding via Textual Information. SIGIR (2017)
Chih-Wei Chang, Chia-Yu Tsui, Zhe-Li Lin, Chao-Ching Chiang, Chuan-Ju Wang, Ming-Feng Tsai
Ranking Influencers in Social Collaboration Networks. TAAI (2017)
Chih-Ming Chen, Ming-Feng Tsai, Yu-Ching Lin, Yi-Hsuan Yang
Query-based Music Recommendations via Preference Embedding. RecSys (2016)
Ming-Feng Tsai, Chun-Yi Lu, Churn-Jung Liau, Tuan-Fang Fan
Social Network Clustering by Using Genetic Algorithm: A Case Study. IEA/AIE (2016)
Chih-Ming Chen, Chun-Yao Yang, Chih-Chun Hsia, Yian Chen, Ming-Feng Tsai
Music Playlist Recommendation via Preference Embedding. RecSys Posters (2016)
Yu-Wen Liu, Liang-Chih Liu, Chuan-Ju Wang, Ming-Feng Tsai
FIN10K: A Web-based Information System for Financial Report Analysis and Visualization. CIKM (2016)
Ming-Feng Tsai, Chuan-Ju Wang, Po-Chuan Chien
Discovering Finance Keywords via Continuous-Space Language Models. ACM Trans. Manag. Inf. Syst. 7 (3) (2016)
Chih-Yu Chao, Yi-Fan Chu, Yi Ho, Chuan-Ju Wang, Ming-Feng Tsai
Dish Discovery via Word Embeddings on Restaurant Reviews. RecSys Posters (2016)
Ming-Feng Tsai, Chuan-Ju Wang, Zhe-Li Lin
Social Influencer Analysis with Factorization Machines. WebSci (2015)
Chih-Ming Chen, Po-Chuan Chien, Yu-Ching Lin, Ming-Feng Tsai, Yi-Hsuan Yang
Do You Have a Pop Face? Here is a Pop Song. Using Profile Pictures to Mitigate the Cold-start Problem in Music Recommender Systems. RecSys Posters (2015)
Shu-Hao Yeh, Chuan-Ju Wang, Ming-Feng Tsai
Deep belief networks for predicting corporate defaults. WOCC (2015)
Ming-Feng Tsai, Chih-Wei Tzeng, Zhe-Li Lin, Arbee L. P. Chen
Discovering leaders from social network by action cascade. Soc. Netw. Anal. Min. 4 (1) (2014)
Ming-Feng Tsai, Chuan-Ju Wang
Financial Keyword Expansion via Continuous Word Vector Representations. EMNLP (2014)
Yu-Xun Ruan, Hsuan-Tien Lin, Ming-Feng Tsai
Improving ranking performance with cost-sensitive ordinal classification via regression. Inf. Retr. 17 (1) (2014)
Chih-Ming Chen, Hsin-Ping Chen, Ming-Feng Tsai, Yi-Hsuan Yang
Leverage Item Popularity and Recommendation Quality via Cost-Sensitive Factorization Machines. ICDM Workshops (2014)
Chuan-Ju Wang, Ming-Feng Tsai, Tse Liu, Chin-Ting Chang
Financial Sentiment Analysis for Risk Prediction. IJCNLP (2013)
Chih-Ming Chen, Ming-Feng Tsai, Jen-Yu Liu, Yi-Hsuan Yang
Using emotional context from article for contextual music recommendation. ACM Multimedia (2013)
Chieh-Jen Wang, Yung-Wei Lin, Ming-Feng Tsai, Hsin-Hsi Chen
Mining subtopics from different aspects for diversifying search results. Inf. Retr. 16 (4) (2013)
Ming-Feng Tsai, Chuan-Ju Wang
Risk Ranking from Financial Reports. ECIR (2013)
Siao-Wei Chen, Ming-Feng Tsai, Jui-Chiu Chiang
Video retargeting based frame-compatible stereo video coding. ICASSP (2013)
Chih-Ming Chen, Ming-Feng Tsai, Jen-Yu Liu, Yi-Hsuan Yang
Music Recommendation Based on Multiple Contextual Similarity Information. Web Intelligence (2013)
Ming-Feng Tsai, Chuan-Ju Wang
Visualization on Financial Terms via Risk Ranking from Financial Reports. COLING (Demos) (2012)
Ming-Feng Tsai, Chuan-Ju Wang
Post-Modern Portfolio Theory for Information Retrieval. INNS-WC (2012)
Ming-Feng Tsai, Chih-Wei Tzeng, Arbee L. P. Chen
Discovering leaders from social network by action cascade. SNS (2012)
Chieh-Jen Wang, Yung-Wei Lin, Ming-Feng Tsai, Hsin-Hsi Chen
NTU Approaches to Subtopic Mining and Document Ranking at NTCIR-9 Intent Task. NTCIR (2011)
Ming-Feng Tsai, Hsin-Hsi Chen, Yu-Ting Wang
Learning a merge model for multilingual information retrieval. Inf. Process. Manag. 47 (5) (2011)
Jui-Hsiang Liu, Ming-Feng Tsai, Lumdo Chen, Charlie Chung-Ping Chen
Accurate and Analytical Statistical Spatial Correlation Modeling Based on Singular Value Decomposition for VLSI DFM Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29 (4) (2010)
Yuan-Fu Liao, Shuan-Chen Yeh, Ming-Feng Tsai, Wei-Hsiung Ting, Sen-Chia Chang
Latent Prosody Model-Assisted Mandarin Accent Identification. ROCLING (2009)
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng Wang, Tie-Yan Liu, Hang Li
Query-level loss functions for information retrieval. Inf. Process. Manag. 44 (2) (2008)
Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen
Combining WordNet and ConceptNet for Automatic Query Expansion: A Learning Approach. AIRS (2008)
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
A study of learning a merge model for multilingual information retrieval. SIGIR (2008)
Chuan-Yu Chang, Ming-Feng Tsai, Shao-Jer Chen
Classification of the thyroid nodules using support vector machines. IJCNN (2008)
Jui-Hsiang Liu, Ming-Feng Tsai, Lumdo Chen, Charlie Chung-Ping Chen
Accurate and analytical statistical spatial correlation modeling for VLSI DFM applications. DAC (2008)
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Hang Li
Learning to rank: from pairwise approach to listwise approach. ICML (2007)
Ming-Feng Tsai, Tie-Yan Liu, Tao Qin, Hsin-Hsi Chen, Wei-Ying Ma
FRank: a ranking method with fidelity loss. SIGIR (2007)
Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen
Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison. AIRS (2006)
Hsin-Hsi Chen, Ming-Feng Tsai, Ming-Hung Hsu
Identification of Relevant and Novel Sentences Using Reference Corpus. ECIR (2004)
Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen
Multilingual Relevant Sentence Detection Using Reference Corpus. AIRS (2004)
Ming-Feng Tsai, Ming-Hung Hsu, Hsin-Hsi Chen
Similarity Computation in Novelty Detection and Biomedical Text Categorization. TREC (2004)
Ming-Feng Tsai, Ming-Hung Hsu, Hsin-Hsi Chen
Approach of Information Retrieval with Reference Corpus to Novelty Detection. TREC (2003)
Ming-Feng Tsai, Hsin-Hsi Chen
Some Similarity Computation Methods in Novelty Detection. TREC (2002)