Chuan-Ju Wang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 60

Top Topics

Financial Reports

Passage Retrieval

Collaborative Filtering

Matrix Factorization

Top Venues

Publications

Cheng-Der Fuh, Chuan-Ju Wang
Efficient exponential tilting with applications. Stat. Comput. 34 (2) (2024)
Cheng-Der Fuh, Chuan-Ju Wang, Chen-Hung Pai
Markov chain importance sampling for minibatches. Mach. Learn. 113 (2) (2024)
Ta-Wei Huang, Jia-Huei Ju, Yu-Shiang Huang, Cheng-Wei Lin, Yi-Shyuan Chiang, Chuan-Ju Wang
FISH: A Financial Interactive System for Signal Highlighting. EACL (System Demonstrations) (2023)
Jia-Huei Ju, Yu-Shiang Huang, Cheng-Wei Lin, Che Lin, Chuan-Ju Wang
A Compare-and-contrast Multistage Pipeline for Uncovering Financial Signals in Financial Reports. ACL (1) (2023)
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)
Chia-Ying Tsao, Chih-Ting Yeh, Jyh-Shing Roger Jang, Yung-Yaw Chen, Chuan-Ju Wang
Multi-behavior Recommendation with Action Pattern-aware Networks. WI/IAT (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)
Chih-Hen Lee, Yi-Shyuan Chiang, Chuan-Ju Wang
INForex: Interactive News Digest for Forex Investors. ECIR (2) (2022)
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)
Wei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chuan Duan, Chuan-Ju Wang
Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning. SDM (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)
Chia-Yuan Chang, Cheng-Wei Lu, Chuan-Ju Wang
A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting. AAAI (2021)
Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang
Text-to-Text Multi-view Learning for Passage Re-ranking. SIGIR (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)
Cheng-Der Fuh, Su-Chi Fuh, Yuan-Chen Liu, Chuan-Ju Wang
Rényi Divergence in General Hidden Markov Models. CoRR (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)
Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang
Text-to-Text Multi-view Learning for Passage Re-ranking. 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)
Yi-Cheng Tsai, Mu-En Wu, Jia-Hao Syu, Chin-Laung Lei, Chung-Shu Wu, Jan-Ming Ho, Chuan-Ju Wang
Assessing the Profitability of Timely Opening Range Breakout on Index Futures Markets. IEEE Access 7 (2019)
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)
Zhe-Li Lin, Chuan-Ju Wang
Keyword Extraction with Character-Level Convolutional Neural Tensor Networks. PAKDD (1) (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)
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)
Chuan-Ju Wang, Tian-Shyr Dai
An Accurate Lattice Model for Pricing Catastrophe Equity Put Under the Jump-Diffusion Process. IEEE Comput. Intell. Mag. 13 (4) (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-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)
Chuan-Ju Wang, Ming-Yang Kao
Optimal search for parameters in Monte Carlo simulation for derivative pricing. Eur. J. Oper. Res. 249 (2) (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)
Shu-Hao Yeh, Chuan-Ju Wang, Ming-Feng Tsai
Deep belief networks for predicting corporate defaults. WOCC (2015)
Chuan-Ju Wang, Tian-Shyr Dai, Yuh-Dauh Lyuu
Evaluating corporate bonds with complicated liability structures and bond provisions. Eur. J. Oper. Res. 237 (2) (2014)
Ming-Feng Tsai, Chuan-Ju Wang
Financial Keyword Expansion via Continuous Word Vector Representations. EMNLP (2014)
Chuan-Ju Wang, Ming-Yang Kao
Optimal search for parameters in Monte Carlo simulation for derivative pricing. CIFEr (2014)
Ta-Wei Hung, Mu-En Wu, Chuan-Ju Wang, William W. Y. Hsu, Jan-Ming Ho
On the design of trading schemes of equity funds based on random traders. GrC (2014)
Chuan-Ju Wang, Ming-Feng Tsai, Tse Liu, Chin-Ting Chang
Financial Sentiment Analysis for Risk Prediction. IJCNLP (2013)
Ming-Feng Tsai, Chuan-Ju Wang
Risk Ranking from Financial Reports. ECIR (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)
Chuan-Ju Wang, Tian-Shyr Dai, Yuh-Dauh Lyuu
A multi-phase, flexible, and accurate lattice for pricing complex derivatives with multiple market variables. CIFEr (2012)
Yuh-Dauh Lyuu, Chuan-Ju Wang
On the construction and complexity of the bivariate lattice with stochastic interest rate models. Comput. Math. Appl. 61 (4) (2011)
Tian-Shyr Dai, Chuan-Ju Wang, Yuh-Dauh Lyuu, Yen-Chun Liu
An efficient and accurate lattice for pricing derivatives under a jump-diffusion process. Appl. Math. Comput. 217 (7) (2010)
Chuan-Ju Wang, Tian-Shyr Dai, Yuh-Dauh Lyuu, Yen-Chun Liu
An efficient and accurate lattice for pricing derivatives under a jump-diffusion process. SAC (2009)