Chuan-Ju Wang

Orcid: 0000-0002-5281-2962

According to our database1, Chuan-Ju Wang authored at least 72 papers between 2010 and 2024.

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Bibliography

2024
Markov chain importance sampling for minibatches.
Mach. Learn., February, 2024

Efficient exponential tilting with applications.
Stat. Comput., 2024

SARA: Semantic-assisted Reinforced Active Learning for Entity Alignment.
Proceedings of the International Joint Conference on Neural Networks, 2024

Time-aware Graph Attention Networks for Multiperiod Default Prediction.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Accurate Neural Network Option Pricing Methods with Control Variate Techniques and Data Synthesis/Cleaning with Financial Rationality.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Multi-behavior Recommendation with Action Pattern-aware Networks.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

CFDA & CLIP Labs at TREC'23 Product Search Track.
Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), 2023

Improving Conversational Passage Re-ranking with View Ensemble.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

CPR: Cross-Domain Preference Ranking with User Transformation.
Proceedings of the Advances in Information Retrieval, 2023

FISH: A Financial Interactive System for Signal Highlighting.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

A Compare-and-contrast Multistage Pipeline for Uncovering Financial Signals in Financial Reports.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Item Concept Network: Towards Concept-Based Item Representation Learning.
IEEE Trans. Knowl. Data Eng., 2022

CFDA & CLIP at TREC 2022 Conversational Assistance Track (CAsT).
Proceedings of the Thirty-First Text REtrieval Conference, 2022

CFDA & CLIP at TREC 2022 NeuCLIR Track.
Proceedings of the Thirty-First Text REtrieval Conference, 2022

IPR: Interaction-level Preference Ranking for Explicit feedback.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

RecDelta: An Interactive Dashboard on Top-k Recommendation for Cross-model Evaluation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

INForex: Interactive News Digest for Forex Investors.
Proceedings of the Advances in Information Retrieval, 2022

2021
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting.
ACM Trans. Inf. Syst., 2021

Rényi Divergence in General Hidden Markov Models.
CoRR, 2021

A Learning Framework with Disposable Auxiliary Networks for Early Prediction of Product Success.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

An Exploration Study of Multi-stage Conversational Passage Retrieval: Paraphrase Query Expansion and Multi-view Point-wise Ranking.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

NFinBERT: A Number-Aware Language Model for Financial Disclosures (short paper).
Proceedings of the Swiss Text Analytics Conference 2021, Winterthur, 2021

LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Text-to-Text Multi-view Learning for Passage Re-ranking.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

XRR: Explainable Risk Ranking for Financial Reports.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

HIVE: Hierarchical Information Visualization for Explainability.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Personalized TV Recommendation: Fusing User Behavior and Preferences.
CoRR, 2020

Query Reformulation using Query History for Passage Retrieval in Conversational Search.
CoRR, 2020

Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models.
CoRR, 2020

TTTTTackling WinoGrande Schemas.
CoRR, 2020

Skewness Ranking Optimization for Personalized Recommendation.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Query Expansion with Semantic-Based Ellipsis Reduction for Conversational IR.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Self-Attentive Sentimental Sentence Embedding for Sentiment Analysis.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

TPR: Text-aware Preference Ranking for Recommender Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Assessing the Profitability of Timely Opening Range Breakout on Index Futures Markets.
IEEE Access, 2019

Collaborative Similarity Embedding for Recommender Systems.
Proceedings of the World Wide Web Conference, 2019

Query and Answer Expansion from Conversation History.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

Negative-Aware Collaborative Filtering.
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

SMORe: modularize graph embedding for recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Keyword Extraction with Character-Level Convolutional Neural Tensor Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Beyond Word-level to Sentence-level Sentiment Analysis for Financial Reports.
Proceedings of the IEEE International Conference on Acoustics, 2019

UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

FRIDAYS: A Financial Risk Information Detecting and Analyzing System.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Superhighway: Bypass Data Sparsity in Cross-Domain CF.
CoRR, 2018

Representation Learning for Image-based Music Recommendation.
CoRR, 2018

An Accurate Lattice Model for Pricing Catastrophe Equity Put Under the Jump-Diffusion Process.
IEEE Comput. Intell. Mag., 2018

NavWalker: Information Augmented Network Embedding.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

HOP-rec: high-order proximity for implicit recommendation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

RiskFinder: A Sentence-level Risk Detector for Financial Reports.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

2017
On the risk prediction and analysis of soft information in finance reports.
Eur. J. Oper. Res., 2017

Ranking Influencers in Social Collaboration Networks.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2017

ICE: Item Concept Embedding via Textual Information.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Text Embedding for Sub-Entity Ranking from User Reviews.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Discovering Finance Keywords via Continuous-Space Language Models.
ACM Trans. Manag. Inf. Syst., 2016

Optimal search for parameters in Monte Carlo simulation for derivative pricing.
Eur. J. Oper. Res., 2016

Dish Discovery via Word Embeddings on Restaurant Reviews.
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

FIN10K: A Web-based Information System for Financial Report Analysis and Visualization.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Deep belief networks for predicting corporate defaults.
Proceedings of the 24th Wireless and Optical Communication Conference, 2015

Social Influencer Analysis with Factorization Machines.
Proceedings of the ACM Web Science Conference, 2015

2014
Evaluating corporate bonds with complicated liability structures and bond provisions.
Eur. J. Oper. Res., 2014

On the design of trading schemes of equity funds based on random traders.
Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

Financial Keyword Expansion via Continuous Word Vector Representations.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Financial Sentiment Analysis for Risk Prediction.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Risk Ranking from Financial Reports.
Proceedings of the Advances in Information Retrieval, 2013

2012
Post-Modern Portfolio Theory for Information Retrieval.
Proceedings of the 3rd International Neural Network Society Winter Conference, 2012

Visualization on Financial Terms via Risk Ranking from Financial Reports.
Proceedings of the COLING 2012, 2012

A multi-phase, flexible, and accurate lattice for pricing complex derivatives with multiple market variables.
Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

2011
On the construction and complexity of the bivariate lattice with stochastic interest rate models.
Comput. Math. Appl., 2011

2010
An efficient and accurate lattice for pricing derivatives under a jump-diffusion process.
Appl. Math. Comput., 2010


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