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2020 – today
- 2024
[j12]Cheng-Der Fuh, Chuan-Ju Wang
, Chen-Hung Pai:
Markov chain importance sampling for minibatches. Mach. Learn. 113(2): 789-814 (2024)- [j11]Cheng-Der Fuh, Chuan-Ju Wang:
Efficient exponential tilting with applications. Stat. Comput. 34(2): 65 (2024) - [c52]Ching-Hsuan Liu, Chih-Ming Chen, Jing-Kai Lou, Ming-Feng Tsai, Jiun-Lang Huang, Chuan-Ju Wang:
SARA: Semantic-assisted Reinforced Active Learning for Entity Alignment. IJCNN 2024: 1-10 - 2023
- [c51]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: 14307-14321 - [c50]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: 50-56 - [c49]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: 448-456 - [c48]Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai, Chuan-Ju Wang:
Improving Conversational Passage Re-ranking with View Ensemble. SIGIR 2023: 2077-2081 - [c47]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: 16-23 - [i11]Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai, Chuan-Ju Wang:
Improving Conversational Passage Re-ranking with View Ensemble. CoRR abs/2304.13290 (2023) - 2022
- [j10]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): 1258-1274 (2022) - [c46]Chih-Hen Lee, Yi-Shyuan Chiang, Chuan-Ju Wang:
INForex: Interactive News Digest for Forex Investors. ECIR (2) 2022: 300-304 - [c45]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: 316-324 - [c44]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: 1912-1916 - [c43]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: 3224-3228 - [c42]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 - [c41]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 - 2021
- [j9]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto 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): 48:1-48:29 (2021) - [c40]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: 6948-6955 - [c39]Yi-Ning Juan, Yi-Shyuan Chiang, Shang-Chuan Liu, Ming-Feng Tsai, Chuan-Ju Wang:
HIVE: Hierarchical Information Visualization for Explainability. IJCAI 2021: 4988-4991 - [c38]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: 253-268 - [c37]Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang:
Text-to-Text Multi-view Learning for Passage Re-ranking. SIGIR 2021: 1803-1807 - [c36]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: 2222-2226 - [c35]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 - [c34]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 - [c33]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: 186-193 - [i10]Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang:
Text-to-Text Multi-view Learning for Passage Re-ranking. CoRR abs/2104.14133 (2021) - [i9]Cheng-Der Fuh, Su-Chi Fuh, Yuan-Chen Liu, Chuan-Ju Wang:
Rényi Divergence in General Hidden Markov Models. CoRR abs/2106.01645 (2021) - 2020
- [c32]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: 215-224 - [c31]Jheng-Hong Yang, Sheng-Chieh Lin, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models. COLING 2020: 3449-3453 - [c30]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: 1678-1682 - [c29]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 - [c28]Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai:
Skewness Ranking Optimization for Personalized Recommendation. UAI 2020: 400-409 - [i8]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
TTTTTackling WinoGrande Schemas. CoRR abs/2003.08380 (2020) - [i7]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models. CoRR abs/2004.01909 (2020) - [i6]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Query Reformulation using Query History for Passage Retrieval in Conversational Search. CoRR abs/2005.02230 (2020) - [i5]Chuan-Ju Wang, Yu-Neng Chuang, Chih-Ming Chen, Ming-Feng Tsai:
Skewness Ranking Optimization for Personalized Recommendation. CoRR abs/2005.12971 (2020) - [i4]Sheng-Chieh Lin, Ting-Wei Lin, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang:
Personalized TV Recommendation: Fusing User Behavior and Preferences. CoRR abs/2009.08957 (2020)
2010 – 2019
- 2019
- [j8]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: 32061-32071 (2019) - [c27]Chun-Hsiang Wang, Kang-Chun Fan, Chuan-Ju Wang, Ming-Feng Tsai:
UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews. AAAI 2019: 313-320 - [c26]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: 9853-9854 - [c25]Chi-Han Du, Ming-Feng Tsai, Chuan-Ju Wang:
Beyond Word-level to Sentence-level Sentiment Analysis for Financial Reports. ICASSP 2019: 1562-1566 - [c24]Zhe-Li Lin, Chuan-Ju Wang:
Keyword Extraction with Character-Level Convolutional Neural Tensor Networks. PAKDD (1) 2019: 400-413 - [c23]Sheng-Chieh Lin, Yu-Neng Chuang, Sheng-Fang Yang, Ming-Feng Tsai, Chuan-Ju Wang:
Negative-Aware Collaborative Filtering. RecSys (Late-Breaking Results) 2019: 41-45 - [c22]Chih-Ming Chen, Ting-Hsiang Wang, Chuan-Ju Wang, Ming-Feng Tsai:
SMORe: modularize graph embedding for recommendation. RecSys 2019: 582-583 - [c21]Jheng-Hong Yang, Sheng-Chieh Lin, Chuan-Ju Wang, Jimmy Lin, Ming-Feng Tsai:
Query and Answer Expansion from Conversation History. TREC 2019 - [c20]Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yi-Hsuan Yang:
Collaborative Similarity Embedding for Recommender Systems. WWW 2019: 2637-2643 - [i3]Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yi-Hsuan Yang:
Collaborative Similarity Embedding for Recommender Systems. CoRR abs/1902.06188 (2019) - 2018
- [j7]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): 35-45 (2018) - [c19]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: 81-85 - [c18]Jheng-Hong Yang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai:
HOP-rec: high-order proximity for implicit recommendation. RecSys 2018: 140-144 - [c17]Kwei-Herng Lai, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang:
NavWalker: Information Augmented Network Embedding. WI 2018: 9-16 - [i2]Chih-Chun Hsia, Kwei-Herng Lai, Yian Chen, Chuan-Ju Wang, Ming-Feng Tsai:
Representation Learning for Image-based Music Recommendation. CoRR abs/1808.09198 (2018) - [i1]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 abs/1808.09784 (2018) - 2017
- [j6]Ming-Feng Tsai, Chuan-Ju Wang:
On the risk prediction and analysis of soft information in finance reports. Eur. J. Oper. Res. 257(1): 243-250 (2017) - [c16]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: 2011-2014 - [c15]Chuan-Ju Wang, Ting-Hsiang Wang, Hsiu-Wei Yang, Bo-Sin Chang, Ming-Feng Tsai:
ICE: Item Concept Embedding via Textual Information. SIGIR 2017: 85-94 - [c14]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: 13-16 - 2016
- [j5]Chuan-Ju Wang, Ming-Yang Kao:
Optimal search for parameters in Monte Carlo simulation for derivative pricing. Eur. J. Oper. Res. 249(2): 683-690 (2016) - [j4]Ming-Feng Tsai, Chuan-Ju Wang, Po-Chuan Chien:
Discovering Finance Keywords via Continuous-Space Language Models. ACM Trans. Manag. Inf. Syst. 7(3): 7:1-7:17 (2016) - [c13]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: 2441-2444 - [c12]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 - 2015
- [c11]Ming-Feng Tsai, Chuan-Ju Wang, Zhe-Li Lin:
Social Influencer Analysis with Factorization Machines. WebSci 2015: 50:1-50:2 - [c10]Shu-Hao Yeh, Chuan-Ju Wang, Ming-Feng Tsai:
Deep belief networks for predicting corporate defaults. WOCC 2015: 159-163 - 2014
- [j3]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): 749-757 (2014) - [c9]Chuan-Ju Wang, Ming-Yang Kao:
Optimal search for parameters in Monte Carlo simulation for derivative pricing. CIFEr 2014: 384-390 - [c8]Ming-Feng Tsai, Chuan-Ju Wang:
Financial Keyword Expansion via Continuous Word Vector Representations. EMNLP 2014: 1453-1458 - [c7]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: 106-111 - 2013
- [c6]Ming-Feng Tsai, Chuan-Ju Wang:
Risk Ranking from Financial Reports. ECIR 2013: 804-807 - [c5]Chuan-Ju Wang, Ming-Feng Tsai, Tse Liu, Chin-Ting Chang:
Financial Sentiment Analysis for Risk Prediction. IJCNLP 2013: 802-808 - 2012
- [c4]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: 1-8 - [c3]Ming-Feng Tsai, Chuan-Ju Wang:
Visualization on Financial Terms via Risk Ranking from Financial Reports. COLING (Demos) 2012: 447-452 - [c2]Ming-Feng Tsai, Chuan-Ju Wang:
Post-Modern Portfolio Theory for Information Retrieval. INNS-WC 2012: 80-85 - 2011
- [j2]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): 1107-1121 (2011) - 2010
- [j1]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): 3174-3189 (2010)
2000 – 2009
- 2009
- [c1]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: 966-970
Coauthor Index
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last updated on 2024-09-21 01:47 CEST by the dblp team
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