Welcome to CFDA & CLIP Labs

The CFDA Lab (Computational Finance and Data Analytics Laboratory) and CLIP Lab (Computational Linguistics and Information Processing Laboratory) work together under the co-supervision of Dr. Chuan-Ju Wang and Dr. Ming-Feng Tsai. The CFDA Lab is located at the Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan. The CLIP Lab is located at the Deparment of Computer Science, National Chengchi University, Taipei, Taiwan.
Our research interests lie at the intersection of computation, intelligence, finance, and linguistic. In addition to research-oriented work, we aim to develop interactive information systems that could be used to examine the practicality of the proposed methodology, and to present the experimental results via data visualization techniques.

  • Computation

    programming, data structure, algorithm, software engineering, complexity analysis

  • Intelligence

    machine learning, deep learning, recommender system, social network analysis

  • Finance

    derivative pricing, capital structure analysis, risk management, time series modeling and analysis

  • Linguistics

    information retrieval, text mining, sentiment analysis, semantic analysis, natural language processing

Latest Research

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Recommender Systems

Related publications and talks:

BETag: Behavior-enhanced Item Tagging with Finetuned Large Language Models, Shao-En Lin, Brian Liu, Miao-Chen Chiang, Ming-Yi Hong, Yu-Shiang Huang, Chuan-Ju Wang, and Che Lin. Going to presented at The Web Conference 2025.

SARA: Semantic-assisted Reinforced Active Learning for Entity Alignment, Ching-Hsuan Liu, Chih-Ming Chen, Jing-Kai Lou, Ming-Feng Tsai, and Chuan-Ju Wang. Presented at IJCNN 2024.

Multi-behavior Recommendation with Action Pattern-aware Networks, Chia-Ying Tsao, Chih-Ting Yeh, Roger Jang, Yung-Yaw Chen, and Chuan-Ju Wang. Presented at IEEE/WIC WI-IAT 2023.

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, and Chuan-Ju Wang. Presented at ECIR 2023.

IPR: Interaction-level Preference Ranking for Explicit Feedback, Shih-Yang Liu, Hsien Hao Chen, Chih-Ming Chen, Ming-Feng Tsai, and Chuan-Ju Wang. Presented at SIGIR 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, and Chuan-Ju Wang. Presented at SIGIR 2022.

RecDelta demo Video

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, and Chuan-Ju Wang. Presented at IEEE/WIC/ACM WI-IAT 2021.

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

Skewness Ranking Optimization for Personalized Recommendation, Chuan-Ju Wang*, Yu-Neng Chuang*, Chih-Ming Chen, and Ming-Feng Tsai. Presented at UAI 2020.

Negative-Aware Collaborative Filtering, Sheng-Chieh Lin, Yu-Neng Chuang, Sheng-Fang Yang, Ming-Feng Tsai and Chuan-Ju Wang. Presented at ACM RecSys 2019.

SMORe: Modularize Graph Embedding for Recommendation, Chih-Ming Chen, Ting-Hsiang Wang, Chuan-Ju Wang, and Ming-Feng Tsai. Presented a tutorial at ACM RecSys 2019.

Collaborative Similarity Embedding for Recommender Systems, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai and Yi-Hsuan Yang. Presented at The Web Conference 2019.

NavWalker: Information Augmented Network Embedding, Kwei-Herng Lai, Chih-Ming Chen, Ming-Feng Tsai, and Chuan-Ju Wang. Presented at IEEE/WIC/ACM WI 2018.

HOP-Rec:High-Order Proximity for Implicit Recommendation, Jheng-Hong Yang, Chih-Ming Chen, Chuan-Ju Wang, and Ming-Feng Tsai. Presented at ACM Recsys 2018. [Best Short Paper Runner-up]

Superhighway: Bypass Data Sparsity in Cross-Domain Collaborative Filtering, Kwei-Herng Lai, Ting-Hsiang Wang, Heng-Yu Chi, Yian Chen, Ming-Feng Tsai, and Chuan-Ju Wang. Presented at ACM Recsys 2018.

Representation Learning for Image-based Music Recommendation, Chih-Chun Hsia, Kwei-Herng Lai, Yian Chen, Chuan-Ju Wang, and Ming-Feng Tsai. Presented at ACM Recsys 2018.

Query-based Music Recommendations via Preference Embedding, Chih-Ming Chen, Ming-Feng Tsai, Yu-Ching Lin, and Yi-Hsuan Yang. Presented at ACM RecSys 2016.

Music Playlist Recommendation via Preference Embedding, Chih-Ming Chen, Chun-Yao Yang, Chih-Chun Hsia, Yian Chen and Ming-Feng Tsai. Presented at ACM RecSys 2016.

Exploiting Latent Social Listening Representations for Music Recommendations, Chih-Ming Chen, Po-Chuan Chien, Yu-Ching Lin, Ming-Feng Tsai, and Yi-Hsuan Yang. Presented at ACM Recsys 2015.

Music Recommendation Based on Multiple Contextual Similarity Information, Chih-Ming Chen, Ming-Feng Tsai, Jen-Yu Liu, and Yi-Hsuan Yang. Presented at IEEE/WIC/ACM WI-IAT 2013.

Using Emotional Context from Article for Contextual Music Recommendation, Chih-Ming Chen, Ming-Feng Tsai, Jen-Yu Liu, and Yi-Hsuan Yang. Presented at ACM MM 2013.

Library: SMORe
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Deep Learning Models for Natural Language Processing

Related publications:

MMLF: Multi-query Multi-passage Late Fusion Retrieval, Yuan-Ching Kuo, Yi Yu, Chih-Ming Chen, and Chuan-Ju Wang. Going to presented at NAACL 2025.

Relevance-aware Diverse Query Generation for Out-of-domain Text Ranking, Jia-Huei Ju, Chao-Han Huck Yang, Szu-Wei Fu, Ming-Feng Tsai, and Chuan-Ju Wang. Presented at RepL4NLP@ACL 2024.

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

Text-to-Text Multi-view Learning for Passage Re-ranking, Jia-Huei Ju, Jheng-Hong Yang, and Chuan-Ju Wang. Presented at SIGIR 2021.

Multi-stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting, Jheng-Hong Yang, Sheng-Chieh Lin, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, and Jimmy Lin. ACM Transactions on Information Systems, 39(4), Article No. 48, 2021.

Query Expansion with Semantic-based Ellipsis Reduction for Conversational IR, Chia-Yuan Chang, Hsien-Hao Chen, Ning Chen, Wei-Ting Chiang, Chih-Hen Lee, Yu-Hsuan Tseng, Ming-Feng Tsai, and Chuan-Ju Wang. Presented at TREC 2020. [The second, third, fifth place in the automatic run and the fourth place in the manual run of TREC CAsT]

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

Query and Answer Expansion from Conversation History, Jheng-Hong Yang, Sheng-Chieh Lin, Jimmy Lin, Ming-Feng Tsai, Chuan-Ju Wang. Presented at TREC 2019. [The first place in the automatic run and the second place in the manual run of TREC CAsT]

Keyword Extraction with Character-level Convolutional Neural Tensor Networks, Zhe-Li Lin and Chuan-Ju Wang. Presented at PAKDD 2019.

Codes
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Multi-period Event Prediction

Related publications:

Time-aware Graph Attention Networks for Multiperiod Default Prediction, Cheng-Wei Lin, Yu-Pao Tu, and Chuan-Ju Wang. Presented at ACM ICAIF 2024.

Multiperiod Corporate Default Prediction – A Domain Knowledge-Tailored Neural Network Approach, Wei-Lun Lou, Jin-Chuan Duan, Ming-Feng Tsai, and Chuan-Ju Wang. Presented at EFMA 2023.

Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning, Wei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chuan Duan, and Chuan-Ju Wang. Presented at SDM 2022.

A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting, Chia-Yuan Chang, Cheng-Wei Lu, and Chuan-Ju Wang. Presented at AAAI 2021.

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Network Embedding for Textual Information

Related publications:

Item Concept Network: Towards Concept-based Item Representation Learning, Ting-Hsiang Wang*, Hsiu-Wei Yang*, Chih-Ming Chen, Ming-Feng Tsai, and Chuan-Ju Wang. To appear in IEEE Transactions on Knowledge and Data Engineering, 34(3), 1258-1274, 2022.

TPR: Text-aware Preference Ranking for Recommender Systems,Yu-Neng Chuang*, Chih-Ming Chen*, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, and Ee Peng Lim. Presented at CIKM 2020.

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

Codes

Text Embedding for Sub-Entity Ranking from User Reviews, Chih-Yu Chao*, Yi-Fan Chu*, Hsiu-Wei Yang, Chuan-Ju Wang, and Ming-Feng Tsai. Presented at ACM CIKM 2017.

TripAdvisor demo Yelp demo

ICE: Item Concept Embedding via Textual Information, Chuan-Ju Wang, Ting-Hsiang Wang*, Hsiu-Wei Yang*, Bo-Sin Chang, and Ming-Feng Tsai. Presented at ACM SIGIR 2017.

Codes ICE demo
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Advancing Financial Text Analytics: From Sentiment to LLMs and Beyond

Related publications and resources:

Ready-for-use Resources Specializing in Financial Domains (including word-level, MWE-level, sentence-level, and document-level datasets)

Resources

SURF: A System to Unveil Explainable Risk Relations between Firms, Yu-Hsiang Wang, Wei-Ning Chiu, Yi-Tai Hsiao, Yu-Shiang Huang, Yi-Shyuan Chiang, Shuo-En Wu, and Chuan-Ju Wang. Going to pesent at NAACL 2025.

SURF demo Video

A Compare-and-contrast Multistage Pipeline for Uncovering Financial Signals in Financial Reports, Jia-Huei Ju, Yu-Shiang Huang, Cheng-Wei Lin, Che Lin, and Chuan-Ju Wang. Presented at ACL 2023.

FISH: A Financial Interactive System for Signal Highlighting, Ta-Wei Huang, Jia-Huei Ju, Yu-Shiang Huang, Cheng-Wei Lin, Yi-Shyuan Chiang, and Chuan-Ju Wang. Pesented at EACL 2023.

FISH demo Video

INForex: Interactive News Digest for Forex Investors, Chih-Hen Lee, Yi-Shyuan Chiang, and Chuan-Ju Wang. Presented at ECIR 2022.

INForex demo Video

XRR: Explainable Risk Ranking for Financial Reports, Ting-Wei Lin, Ruei-Yao Sun, Hsuan-Ling Chang, Chuan-Ju Wang, and Ming-Feng Tsai. Presented at ECML-PKDD 2021.

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

HIVE demo Video

NFinBERT: A Number-Aware Language Model for Financial Disclosures, Hao-Lun Lin, Jr-Shian Wu, Yu-Shiang Huang, Ming-Feng Tsai and Chuan-Ju Wang. Presented at SwissText 2021.

Self-attentive Sentimental Sentence Embedding For Sentiment Analysis, Sheng-Chieh Lin, Wen-Yuh Su, Po-Chuan Chien, Ming-Feng Tsai, Chuan-Ju Wang. Presented at ICASSP 2020.

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

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

FRIDAYS demo Video

RiskFinder: A Sentence-level Risk Detector for Financial Reports, Yu-Wen Liu, Liang-Chih Liu, Chuan-Ju Wang, and Ming-Feng Tsai. Presented at NAACL 2018.

RiskFinder demo
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FIN10K: Financial Reports Analysis

Related publications:

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

On the Risk Prediction and Analysis of Soft Information in Finance Reports, Ming-Feng Tsai and Chuan-Ju Wang. European Journal of Operational Research, 257(1): 243-250, 2017.

Discovering Finance Keywords via Continuous Space Language Models, Ming-Feng Tsai, Chuan-Ju Wang, and Po-Chuan Chien. ACM Transactions on Management Information Systems, 7(3), Article No. 7, 2016.

FIN10K demo Dataset

Principal Investigators

  Team Members

Advisor: Dr. Ming-Feng Tsai

  1. Ten, Chan-He (田展禾), Master Student, NCCU-CS
  2. Hsu, Yu-Mei (許昱玫)

Advisor: Dr. Chuan-Ju Wang

  1. Chen, Chih-Ming (陳志明), Postdoctoral Researcher, AS-CITI
  2. Hsu, Chih-Yang (許志揚), PhD Student, NTU-DS & AS-CITI
  3. Huang, Yu-Shiang (黃禹翔), PhD Student, NTU-DS & AS-CITI
  4. Guo, Li-Hong (郭立鴻), Master Student, NTU-DS & AS-CITI
  5. Chang, Li-Young (張立暘), Research Assitant, AS-CITI
  6. Kuo, Yuan-Chiang (郭元敬), Research Assitant, AS-CITI
  7. Hsiao, Yi-Tai (蕭易岱), Research Assitant, AS-CITI
  8. Hsu, Hung Chun (許鴻君), Research Assitant, AS-CITI
  9. Hu, Yun-Xuan (胡云瑄), Research Assitant, AS-CITI
  10. Wang, Yu-Hsiang (王鈺翔), Research Assistant, AS-CITI
  11. Wei, Tzu-Shuo (魏資碩), Research Assistant, AS-CITI
  12. Yu, Tsung-En (余宗恩), Research Assistant, AS-CITI
  Alumni & Theses

Advisor: Dr. Ming-Feng Tsai

  1. Chen, Chih-Ming (陳志明) (100753018, NCCU-CS, 2013)
    Master thesis: Exploring Diverse Music Recommendation based on Machine Learning Approaches (基於機器學習探討音樂多樣性推薦之研究)
  2. Liu, Tse (劉澤) (101753020, NCCU-CS, 2015)
    Master thesis: Exploring Financial Risk via Text Mining Approaches (以文字探勘為基礎之財務風險分析方法研究)
  3. Lin, Zhe-Li (林哲立) (101753022, NCCU-CS, 2016)
    Master thesis: Discovering Community Leaders from Coauthor Network via Factorization Machines (以分解機器為基礎之社群領袖偵測方法研究)
  4. Chen, Ti-Tou (陳禔多) (101753006, NCCU-CS, 2016)
    Master thesis: Exploring Music Emotion Recognition via Textual Analysis on Song Lyrics (基於歌詞文本分析技術探討音樂情緒辨識之方法研究)
  5. Lin, Chin-Yung (林金永) (101971019, NCCU-CS, 2016) [on-the-job master's program]
    Master thesis: Exploiting User Opinions for Improving Individual Recommendations (以使用者意見提升推薦系統效能之研究)
  6. Chen, Yi-An (陳奕安) (102753031, NCCU-CS, 2016)
    Master thesis: An Enhanced Topic Model Based on Labeled LDA for Chinese Historical Corpora (適用於中文史料文本之標記式主題模型分析方法研究)
  7. Chen, Yi-An (曾子芸) (103462010, NCCU-DCT, 2017) [Co-advise with Prof. Tao, Ya-Lun]
    Master thesis: A study of Data Visualization Based on Labeled Topic Model and Its Implementation (基於標記式主題模型之資料視覺化研究與實現)
  8. Liang, Shao-Zhong (梁韶中) (103753014, NCCU-CS, 2017)
    Master thesis: An Enhanced Writer Language Model for Chinese Historical Corpora (適用於中文史料文本之作者語言模型分析方法研究)
  9. Chang, Chih-Wei (張至偉) (104753039, NCCU-CS, 2017) [Co-advise with Prof. Wang, Chuan-Ju]
    Master thesis: Social Influence Analysis based on Factorization Machines: Using GitHub as an Example (基於分解機器之社群影響力分析研究-以 GitHub 為例)
  10. Hsia, Chih-Chun (夏致群) (104753001, NCCU-CS, 2017)
    Master thesis: A Study of Image-based Music Information Retrieval (基於圖像資訊之音樂資訊檢索研究)
  11. Liu, Yu-Wen (柳育彣) (104753035, NCCU-CS, 2017) [Co-advise with Prof. Wang, Chuan-Ju]
    Master thesis: Risk-related Sentence Detection in Financial Reports (財報文字分析之句子風險程度偵測研究)
  12. Tsui, Chia-Yu (崔嘉祐) (104753034, NCCU-CS, 2017) [Co-advise with Prof. Wang, Chuan-Ju]
    Master thesis: A Study of Recommendations on Social Collaboration Platforms: Using GitHub as an Example (社群協同合作平台之推薦問題研究-以GitHub為例)
  13. Yang, Chun-Yao (楊淳堯) (104753024, NCCU-CS, 2018)
    Master thesis: Learning User Music Listening Logs for Music Playlist Recommendation (以使用者音樂聆聽記錄於音樂歌單推薦之研究)
  14. Kuan, Yun-Chen (管芸辰) (103971010, NCCU-CS, 2018) [on-the-job master's program]
    Master thesis: Deep Learning Techniques for Chinese Sentence Representation Learning (深度學習於中文句子之表示法學習)
  15. Chang, Bo-Sin (張伯新) (105753001, NCCU-CS, 2018)
    Master thesis: E-commerce Recommendation Systems Based on Heterogeneous Information Network Embedding (基於異質性資訊網路表示法學習之電子商務推薦系統)
  16. Su, Yu-Sheng (蘇裕勝) (106753004, NCCU-CS, 2019)
    Master thesis: Heterogeneous Graph Embedding Based on Graph Convolutional Neural Networks (基於圖形卷積神經網路之異質性圖譜表示法學習)
  17. Yang, Sheng-Fang (楊昇芳) (106753011, NCCU-CS, 2019)
    Master thesis: Cross-domain Music Recommendation Based on Superhighway Graph Embedding (基於超連結圖譜表示法學習之跨領域音樂推薦演算法)
  18. Chuang, Yu-Neng (莊喻能) (107753011, NCCU-CS, 2020)
    Master thesis: Exploring Distribution of Graph Embedding Based on Skewness Ranking Optimization for Recommender Systems (基於偏態排序最佳化探討圖形學習表示法之分佈於推薦系統)
  19. Chen, Hsien-Hao (陳先灝) (108753107, NCCU-CS, 2021)
    Master thesis: User Embedding Transformation on Cross-domain Preference Ranking for Recommender Systems (基於使用者表示法轉換之跨領域偏好排序於推薦系統)
  20. Tuan, Pao-Chun (段寶鈞) (108753116, NCCU-CS, 2021)
    Master thesis: Improving Recommendation Performance via Enhanced User-Item relations based on Knowledge Graph Embedding (基於知識圖譜表示法學習增強使用者與物品交互關係於推薦系統之效能改進)
  21. Lu, Jia-Yu (盧佳妤) (108753120, NCCU-CS, 2021)
    Master thesis: Financial Risk-related News Detection and Named Entity Recognition via Transformer-based Language Models (基於注意力機制語言模型之財務風險文章偵測與實體辨識)
  22. Wang, Chun-Chieh (王均捷) (108753113, NCCU-CS, 2021)
    Master thesis: Employing Translation-based Recommendation for Improving Cross-domain Recommendation Performance (基於翻譯序列推薦模型於跨領域推薦系統之強化方法)
  23. Chen, Chih-Ming (陳志明) (104761501, NCCU-CS & AS-TIGP, 2022)
    PhD thesis: Exploring High-Order Relations for Recommender Systems (探討推薦系統之高階關係影響)
  24. Chang, Chi-Hung (張麒竑) (109753119, NCCU-CS, 2022)
    Master thesis: Improving Recommendation Performance via Incorporating Graph Structural Information based on Heterogeneous Preference Embedding (基於異質型偏好排序表示法之整合圖結構資訊於改進推薦系統效能)
  25. Wang, Wei-Sheng (王韋勝) (109753110, NCCU-CS, 2022)
    Master thesis: Improving Complete Cold-Start Recommendation via Content-Based Preference Graph Convolution Networks (基於內容偏好圖卷積網路之完全冷啟動推薦演算法)
  26. Lin, Bo-Yu (林柏宇) (110753109, NCCU-CS, 2023)
    Master thesis: Exploring High-order Proximity and Shortest-path Walking for Graph Representation Learning (基於高階相鄰關係與最短路徑之圖表示法學習)
  27. Chang, Li-Young (張立暘) (110753140, NCCU-CS, 2024)
    Master thesis: Graph-based Pre-training and Prompting for Recommendation Systems (基於圖預訓練與提示詞學習於推薦系統)
  28. Chen, Tsai-Tsung (陳采宗) (111753160, NCCU-CS, 2024)
    Master thesis: Improving Dense Retrieval Model via Hard Negative Mining based on Contrastive Learning (基於對比式學習之負樣本探勘於改進進階檢索模型)
  29. Xiao, Chiao-Yu (蕭喬宇) (111753203, NCCU-CS, 2024)
    Master thesis: Prompting Large Language Models for Improving Document Retrieval Performance (基於大型語言模型之提示詞策略於改進文件檢索效能)
  30. Wang, Yi-Kai (王奕凱) (111753169, NCCU-CS, 2024)
    Master thesis: Lightweight Fine-Tuning Dense Retrieval Models for Enhancing Document Retrieval Performance (基於輕量化微調方法之進階檢索模型於改進文件檢索效能)
  1. Su, Wen-Yuh (蘇文毓) (Research Assistant, August 2017 - May 2018)
    Going to attend the master program of Computer Science, University of Illinois at Chicago, in Fall 2018.
  2. Wang, Chun-Hsiang (王俊翔) (Research Assistant, August 2017 - May 2018)
    Going to attend the master program of Computer Science and Engineering, University of California San Diego, in Fall 2018.
  3. Chen, Kuan-Yu (陳冠宇) (Research Assistant, August 2018 - July 2019)
    Going to attend the master program of Science in Computer Science, The University of Texas at Dallas, in Fall 2019.
  4. Sun, Ruei-Yao (孫瑞遙) (Reseaerch Assistant, September 2018 - Feburary 2019)
    Going to attend the master program of Computer Science, University of Massachusetts Amherst, in Fall 2019.
  5. Lee, Chi (李冀) (Research Assistant, August 2018 - December 2019)
    Going to attend the master program of Computer Science, University of Texas, Dallas, in Fall 2020.
  6. Lin, Ting-Wei (林廷韋) (Reseaerch Assistant, October 2018 - April 2020)
    Going to attend the master program of Computer Science, University of California, Irvine, in Fall 2020.
  7. Pai, Chen-Hung (白振鴻) (Reseaerch Assistant, January 2018 - May 2020)
    Going to work at Miso Technologies Inc., as a deep learning engineer, in June 2021.

Advisor: Dr. Chuan-Ju Wang

  1. Chang, Chin-Ting (張津挺) (g10116006, UT-CS, 2015)
    Masther thesis: On the Construction and Analysis of Chinese Financial Sentiment Lexicon for Financial News (中文財務情緒字典建構與其在財務新聞分析之應用) [ 中文財務情緒字典]
  2. Chen, Jiun-Hong (陳俊宏) (m10016001, UT-CS, 2016) [on-the-job master's program]
    Masther thesis: On the Prediction of Financial Time Series via Online Machine Learning Algorithms — An Example of S&P 500 Index Component Stocks (應用線上機器學習演算法於財務時間序列預測問題 — 以美國S&P500成分股為例)
  3. Yeh, Shu-Hao (葉書豪) (g10116008, UT-CS, 2016)
    Masther thesis: Corporate Delisting Prediction via Deep Learning Algorithms (利用深度學習演算法預測企業下市模式)
  4. Lai, Cheng-Yi (賴承毅) (g10216005, UT-CS, 2016)
    Masther thesis: On the Construction and Analysis of Time-Series-Oriented Lexicons (時間序列導向財經字典的建構與分析)
  5. Chao, Chih-Yu (趙之宇) (g10416003, UT-CS, 2017)
    Masther thesis: On the Construction of a Domain-specific Sentiment Lexicon from User Generated Content (基於使用者產生之內容建構特定領域之情緒字典)
  6. Chu, Yi-Fan (曲奕凡) (g10416015, UT-CS, 2017)
    Masther thesis: A Network Embedding Framework for Entity Ranking from User Reviews (基於網路表示學習法探討使用者評論中之物品排序問題)
  7. Wang, Hai-Ching (王海晴) (g10216001, UT-CS, 2017)
    Masther thesis: On the Company Delisting Prediction and Analysis of Textual Information in Financial Reports (基於財務報告中之文字資訊於公司下市的預測及分析)
  8. Hsu, Jui-Hsiu (許睿修) (r07946015, NTU-DS, 2021)
    Masther thesis: Inferring Multiple Diffusion Networks with User Behavior (利用使用者行為推論多個擴散網)
  9. Tsao, Chia-Ying (曹佳穎) (r09946013, NTU-DS, 2022)
    Masther thesis: Multi-behavior Recommendation with Action Pattern-aware Networks (使用動作模式感知網路的多行為推薦系統)
  10. Ngu, Wei Luok (吳偉樂) (r09946023, NTU-DS, 2022)
    Masther thesis: Personalized Multi-interaction Preference Ranking for Multi-behavior Recommendation (使用個性化多互動偏好排名的多行為推薦系)
  11. Liu, Ching-Hsuan (劉謦瑄) (r10946013, NTU-DS, 2023)
    Masther thesis: SARA: Semantic-assisted Reinforced Active Learning for Entity Alignment (SARA: 應用語義輔助之強化主動學習策略提升知識圖譜於實體對齊之效能)
  12. Cheng, Bo-Yu (鄭柏譽) (r10946018, NTU-DS, 2024)
    Masther thesis: KGiPR: Knowledge Graph Interaction-level Preference Ranking for Recommender Systems (基於互動層級偏好排名之知識圖譜增強推薦系統)
  13. Huang, Yu-Ting (黃玉婷) (r11946008, NTU-DS, 2024)
    Masther thesis: Machine Unlearning for Deep Neural Network (深度神經網絡的機器反學習)
  14. Tseng, Yu-Min (曾郁珉) (r11946009, NTU-DS, 2024)
    Masther thesis: Large Language Models Perform Diagnostic Reasoning (大型語言模型進行醫療診斷推理)
  1. Chiang, Chao-Ching (蔣兆青) (Research Assistant, September 2016 - May 2017)
    Going to attend the master program in Computer Science, University of Massachusetts, Amherst, in Fall 2017.
  2. Fan, Kang-Chun (范綱峻) (Research Assistant, August 2017 - April 2018)
    Going to attend the master program in Computer Science, University of California, Santa Cruz, in Fall 2018.
  3. Yang, Hsiu-Wei (楊修維) (Research Assistant, September 2016 - April 2018)
    Going to attend the master program in Computer Science, University of Waterloo, in Fall 2018.
  4. Du, Chi-Han (杜契漢) (Research Assistant, November 2016 - November 2018)
    Going to work at KKStream as an Analyst in November 2018.
  5. Lai, Kwei-Herng (賴奎亨) (Research Assistant, August 2017 - December 2018)
    Going to attend the master program in Computer Science, Texas A&M University, in Spring 2019.
  6. Wang, Ting-Hsiang (王鼎翔) (Research Assistant, August 2016 - July 2019)
    Going to attend the master program in Computer Science, Texas A&M University, in Fall 2019.
  7. Lin, Zhe-Li (林哲立) (Research Assistant, December 2016 - January 2020)
    Going to work at Research Center for Humanities and Social Sciences, Academia Sinica, as a research assistant in March 2020.
  8. Chang, Hsuan-Ling (張瑄凌) (Research Assistant, July 2018 - May 2020)
    Going to work at Department of Banking and Finance, Tamkang University as an Assistant Professor in August 2020.
  9. Lin, Sheng-Chieh (林聖傑) (Research Assistant, June 2018 - May 2020)
    Going to attend the master program in Computer Science, University of Waterloo, in Fall 2020.
  10. Yang, Jheng-Hong (楊政紘) (Research Assistant, August 2017 - May 2020)
    Going to attend the master program in Computer Science, University of Waterloo, in Fall 2020.
  11. Lu, Cheng-Wei (呂承維) (Research Assistant, February 2020 - June 2020)
    Going to attend the master program in Computer Science, University of Wisconsin, Madison, in Fall 2020.
  12. Wu, Bing-Yue (吳秉曜) (Research Assistant, July 2020 - November 2020)
  13. Chang, Chia-Yuan (張嘉元) (Research Assitant, October 2019 - December 2020)
    Going to attend the master program in Computer Science, Texas A&M University, in Fall 2021.
  14. Chien, Po-Chuan (簡伯銓) (Research Assitant, January 2018 - December 2020)
    Going to work at Research Center for Humanities and Social Sciences, Academia Sinica, as a system engineer, in January 2021.
  15. Tseng, Yu-Hsuan (曾鈺軒) (Research Assitant, March 2020 - December 2020)
  16. Chiang, Wei-Ting (江威廷) (Research Assitant, March 2020 - March 2021)
    Going to attend the master program in Computer Science and Engineering, University of California San Diego, in Fall 2021.
  17. Lee, Chih-Hen (李治衡) (Research Assitant, August 2019 - March 2021)
    Going to attend the master program in Computer Science, University of Texas, Dallas, in Fall 2021.
  18. Chen, Ning (陳寧) (Research Assitant, April 2019 - March 2021)
  19. Liu, Shih-Yang (劉詩揚) (Research Assitant, January 2021 - August 2021)
    Going to attend the PhD program in Computer Science and Engineering, Hong Kong University of Science and Technology, in Fall 2021.
  20. Ding, Jun-En (丁俊恩) (Research Assitant, January 2021 - December 2021)
    Going to work at Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, as a research assistant, in January 2022.
  21. Yeh, Chih-Ting (葉致廷) (Research Assistant, July 2020 - February 2022)
    Going to attend the master program in Computer Science, Vanderbilt University, in Fall 2022.
  22. Chiang, Po-Hsing (姜博馨) (Research Assistant, October 2021 - March 2022)
    Going to attend the master program in Information Systems Management, Carnegie Mellon University, in Fall 2022.
  23. Wu, Cheng-Ying (吳承穎) (Research Assistant, August 2021 - June 2022)
    Going to attend the master program in Data Science, University of Pennsylvania, in Fall 2022.
  24. Liu, Yu-Ze (柳宇澤) (Research Assistant, July 2021 - August 2022)
    Going to attend the master program in Computer Science, National Taiwan University, in Fall 2022.
  25. Lou, Wei-Lun (羅偉倫) (Research Assistant, September 2020 - February 2023)
    Going to work at Tibra Capital in March 2023.
  26. Yeh, Chia-Yu (葉家宇) (Research Assistant, September 2022 - April 2023)
    Going to attend the master program in Electrical Engineering, National Taiwan University of Science and Technology, in Fall 2023.
  27. Chen, Yu-Hsuan (陳育萱) (Research Assistant, May 2022 - April 2023)
  28. Ju, Jai-Heui (朱家輝) (Research Assistant, October 2021 - January 2024)
    Going to attend the PhD program of University of Amsterdam (IR Lab) in February 2024.
  29. Wu, Fei (吳霏) (Research Assistant, July 2023 - February 2024)
    Going to attend the master program in Computational Linguistics, University of Stuttgart in April 2024.
  30. Lin, Cheng-Wei (林程緯) (Research Assistant, November 2020 - March 2024)
    Going to attend the master program in Computational Linguistics, University of Stuttgart in April 2024.
  31. Wu, Tung-Lin (吳東霖) (Research Assistant, July 2022 - May 2024)
    Going to attend the master program in Artificial Intelligence and Innovation, Carnegie Mellon University in Fall 2024.
  32. Lo, Chung-Kang (羅崇綱) (Research Assistant, February 2023 - June 2024)
    Going to attend the PhD program in Business Administration and Management (Marketing), Pennsylvania State University in Fall 2024.
  33. Tu, Yu-Pao (涂譽寶) (Research Assistant, July 2023 - June 2024)
    Going to attend the master program in Computer Science and Engineering, University of California San Diegoin in Fall 2024.
  34. Huang, Cheng-Wei (黃振維) (Research Assistant, March 2024 - August 2024)
    Going to attend the master program in Operations Researc and Quantitative and Computational Finance, Georgia Institute of Technology in Fall 2024.

Dr. Ming-Feng Tsai

Department of Computer Science, National Chengchi University

No. 64, Sec. 2, Zhinan Rd., Taipei 116, Taiwan

  mftsai@nccu.edu.tw

  +886-2-8237-7448

Dr. Chuan-Ju Wang

Research Center for Information Technology Innovation, Academia Sinica

No. 128 Academia Road, Sec. 2, Taipei 115, Taiwan

  cjwang@citi.sinica.edu.tw

  +886-2-2787-2351

Recruitment

We are currently seeking passionate researchers/students to join our labs. To apply for the positions of Research Assistant and Postdoctoral Fellow, please send your C.V. to cjwang@citi.sinica.edu.tw.