Yuexian Hou

Orcid: 0000-0002-3238-493X

According to our database1, Yuexian Hou authored at least 139 papers between 2004 and 2024.

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Bibliography

2024
High-level preferences as positive examples in contrastive learning for multi-interest sequential recommendation.
World Wide Web (WWW), March, 2024

Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation.
IEEE Trans. Artif. Intell., March, 2024

M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition.
ACM Trans. Inf. Syst., January, 2024

Do LLMs Have the Generalization Ability in Conducting Causal Inference?
CoRR, 2024

RoleBreak: Character Hallucination as a Jailbreak Attack in Role-Playing Systems.
CoRR, 2024

MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space.
CoRR, 2024

MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Comparative Study of Explicit and Implicit Gender Biases in Large Language Models via Self-evaluation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Emotion Recognition in Conversation via Dynamic Personality.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Mind vs. Mouth: On Measuring Re-judge Inconsistency of Social Bias in Large Language Models.
CoRR, 2023

Mining Effective Features Using Quantum Entropy for Humor Recognition.
CoRR, 2023

Multi-interest Recommendation on Shopping for Others.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

User Multi-preferences Fusion for Conversational Recommender Systems.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Empathetic Response Generation via Emotion Cause Transition Graph.
Proceedings of the IEEE International Conference on Acoustics, 2023

Syntax-Aware Complex-Valued Neural Machine Translation.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Grafting Fine-Tuning and Reinforcement Learning for Empathetic Emotion Elicitation in Dialog Generation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Mining Effective Features Using Quantum Entropy for Humor Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Causal MRC: Mitigating Position Bias Based on Causal Graph.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

CECR: Collaborative Semantic Reasoning on the Cloud and Edge.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A bias-variance evaluation framework for information retrieval systems.
Inf. Process. Manag., 2022

An Enhanced Quantum-inspired Neural Network for Complex-valued Text Representation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Aligning Recommendation and Conversation via Dual Imitation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CR-GIS: Improving Conversational Recommendation via Goal-aware Interest Sequence Modeling.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
QIRM: A quantum interactive retrieval model for session search.
Neurocomputing, 2021

Social Recommendation with Implicit Social Influence.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

LoCo-VAE: Modeling Short-Term Preference as Joint Effect of Long-Term Preference and Context-Aware Impact in Recommendation.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Socializing in Interference: Quantum-Inspired Topic Model with Crystal-Like Structure Grid for Microblog Topic Detection.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Mining Latent Semantic Correlation inspired by Quantum Entanglement.
Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

Improving Recommender System via Personalized Reconstruction of Reviews.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Quantum-inspired Complex-valued Representation for Encoding Sentiment Information (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Redundancy of Hidden Layers in Deep Learning: An Information Perspective.
CoRR, 2020

Using Temporal Convolutional Networks to Enable Action Recognition for Construction Equipment.
Proceedings of the ICVIP 2020: The 4th International Conference on Video and Image Processing, 2020

Strong Statistical Correlation Revealed by Quantum Entanglement for Supervised Learning.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Quantum Observation Scheme Can Universally Identify Causalities from Correlations.
CoRR, 2019

A Tensorized Transformer for Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Quantum-Inspired DMATT-BiGRU for Conversational Sentiment Analysis.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Link Prediction with Attention-Based Semantic Influence of Multiple Neighbors.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Density Matrix Based Preference Evolution Networks for E-Commerce Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2019

Regularizing Deep Neural Networks by Ensemble-based Low-Level Sample-Variances Method.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
A Confident Information First Principle for Parameter Reduction and Model Selection of Boltzmann Machines.
IEEE Trans. Neural Networks Learn. Syst., 2018

Two-Step Multi-factor Attention Neural Network for Answer Selection.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Attention-Based Linguistically Constraints Network for Aspect-Level Sentiment.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Automatic Update of Ontology Concept Hierarchy with New Entity Insertion and New Concept Generation Based on Semantic Measurement.
Proceedings of the 7th International Conference on Software and Computer Applications, 2018

Modeling Relevance Judgement Inspired by Quantum Weak Measurement.
Proceedings of the Advances in Information Retrieval, 2018

A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Measuring Bidirectional Subjective Strength of Online Social Relationship by Synthetizing the Interactive Language Features and Social Balance (Short Paper).
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018

Exploring Relevance Judgement Inspired by Quantum Weak Measurement.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Distribution Separation Method Using Irrelevance Feedback Data for Information Retrieval.
ACM Trans. Intell. Syst. Technol., 2017

Shadow detection of moving objects based on multisource information in Internet of things.
J. Exp. Theor. Artif. Intell., 2017

Deep fusion of multi-channel neurophysiological signal for emotion recognition and monitoring.
Int. J. Data Min. Bioinform., 2017

Exploring Interpersonal Influence by Tracking User Dynamic Interactions.
IEEE Intell. Syst., 2017

Regularizing Neural Networks via Retaining Confident Connections.
Entropy, 2017

Extending the Balance Theory by Measuring Bidirectional Opinions with Interactive Language.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Bi-Directional LSTM with Quantum Attention Mechanism for Sentence Modeling.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Hierarchical Attention BLSTM for Modeling Sentences and Documents.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Improving the Generalization Ability of Restricted Boltzmann Machines via Theta Pure Dependency.
Proceedings of the 2017 International Conference on Deep Learning Technologies, 2017

Position vs. Attitude: How Topological Factors Influence Our Difference in the Attitudes on Online Interrelationships? A Case Study with Language Use.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Learning Music Emotions via Quantum Convolutional Neural Network.
Proceedings of the Brain Informatics - International Conference, 2017

Does tang poetry affect human emotional state? A pilot study by EEG.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Generalized Analysis of a Distribution Separation Method.
Entropy, 2016

A Quantum Query Expansion Approach for Session Search.
Entropy, 2016

Exploration of Quantum Interference in Document Relevance Judgement Discrepancy.
Entropy, 2016

Encoding physiological signals as images for affective state recognition using convolutional neural networks.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Iterative Project Quasi-Newton Algorithm for Training RBM.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines.
CoRR, 2015

Further Theoretical Study of Distribution Separation Method for Information Retrieval.
CoRR, 2015

Incorporating Intra-Query Term Dependencies in an Aspect Query Language Model.
Comput. Intell., 2015

How Different Features Contribute to the Session Search?
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Modeling Quantum Entanglements in Quantum Language Models.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Constrained Multi-view Clustering Approach to Influence Role Detection.
Proceedings of the 1st International Workshop on Social Influence Analysis, 2015

Predicting Box Office Receipts of Movies with Pruned Random Forest.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Document Boltzmann Machines for Information Retrieval.
Proceedings of the Advances in Information Retrieval, 2015

A Sequential Latent Topic-Based Readability Model for Domain-Specific Information Retrieval.
Proceedings of the Information Retrieval Technology, 2015

A Study of Collection-Based Features for Adapting the Balance Parameter in Pseudo Relevance Feedback.
Proceedings of the Information Retrieval Technology, 2015

A Query Expansion Approach Using Entity Distribution Based on Markov Random Fields.
Proceedings of the Information Retrieval Technology, 2015

2014
Bias-variance analysis in estimating true query model for information retrieval.
Inf. Process. Manag., 2014

Extending the Extreme Physical Information to Universal Cognitive Models via a Confident Information First Principle.
Entropy, 2014

Quadratic Tsallis Entropy Bias and generalized Maximum Entropy Models.
Comput. Intell., 2014

Inferring topic-dependent influence roles of Twitter users.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Rényi Divergence Based Generalization for Learning of Classification Restricted Boltzmann Machines.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Generalized Bias-Variance Evaluation of TREC Participated Systems.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Mining pure high-order word associations via information geometry for information retrieval.
ACM Trans. Inf. Syst., 2013

Understanding Deep Learning by Revisiting Boltzmann Machines: An Information Geometry Approach
CoRR, 2013

Bias-variance decomposition of ir evaluation.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

A Global Constrained Optimization Method for Designing Road Networks with Small Diameters.
Proceedings of the IJCAI 2013, 2013

A unified graph model for personalized query-oriented reference paper recommendation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Optimization of an Integrated Model for Automatic Reduction and Expansion of Long Queries.
Proceedings of the Information Retrieval Technology, 2013

Using Dempster-Shafer's Evidence Theory for Query Expansion Based on Freebase Knowledge.
Proceedings of the Information Retrieval Technology, 2013

2012
Twitter hyperlink recommendation with user-tweet-hyperlink three-way clustering.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Developing Position Structure-Based Framework for Chinese Entity Relation Extraction.
ACM Trans. Asian Lang. Inf. Process., 2011

Quantum Theory-Inspired Search.
Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

Contextual Image Annotation via Projection and Quantum Theory Inspired Measurement for Integration of Text and Visual Features.
Proceedings of the Quantum Interaction - 5th International Symposium, 2011

Investigating Query-Drift Problem from a Novel Perspective of Photon Polarization.
Proceedings of the Advances in Information Retrieval Theory, 2011

Pure High-Order Word Dependence Mining via Information Geometry.
Proceedings of the Advances in Information Retrieval Theory, 2011

Importance Weighted AdaRank.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011

An unsupervised feature selection method based on degree of feature cooperation.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

A Novel Re-ranking Approach Inspired by Quantum Measurement.
Proceedings of the Advances in Information Retrieval, 2011

Learning kernels with upper bounds of leave-one-out error.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

On Modeling Rank-Independent Risk in Estimating Probability of Relevance.
Proceedings of the Information Retrieval Technology, 2011

2010
Beyond Redundancies: A Metric-Invariant Method for Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng., 2010

Detecting and extracting the photo composites using planar homography and graph cut.
IEEE Trans. Inf. Forensics Secur., 2010

On Tsallis Entropy Bias and Generalized Maximum Entropy Models
CoRR, 2010

A New Closeness Metric for Social Networks Based on the k Shortest Paths.
Proceedings of the Advances in Neural Networks, 2010

A Study of Document Weight Smoothness in Pseudo Relevance Feedback.
Proceedings of the Information Retrieval Technology, 2010

Event-Based Hyperspace Analogue to Language for Query Expansion.
Proceedings of the ACL 2010, 2010

Automata Modeling for Cognitive Interference in Users' Relevance Judgment.
Proceedings of the Quantum Informatics for Cognitive, 2010

Explanation of Relevance Judgement Discrepancy with Quantum Interference.
Proceedings of the Quantum Informatics for Cognitive, 2010


2009
Nonlinear Dimensionality Reduction by Locally Linear Inlaying.
IEEE Trans. Neural Networks, 2009

Approximating true relevance distribution from a mixture model based on irrelevance data.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Characterizing Pure High-Order Entanglements in Lexical Semantic Spaces via Information Geometry.
Proceedings of the Quantum Interaction, Third International Symposium, 2009

Using Non-extensive Entropy for Text Classification.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009

A Novel Composite Kernel Approach to Chinese Entity Relation Extraction.
Proceedings of the Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy, 2009

2008
Exploiting the Role of Position Feature in Chinese Relation Extraction.
Proceedings of the International Conference on Language Resources and Evaluation, 2008

A Novel Feature-based Approach to Chinese Entity Relation Extraction.
Proceedings of the ACL 2008, 2008

2006
A Framework of Feedback Search Engine Motivated by Content Relevance Mining.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Locally Adaptive Nonlinear Dimensionality Reduction.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Improving classification precision by implicit kernels motivated by manifold learning.
Proceedings of the International Joint Conference on Neural Networks, 2006

Adaptively Incremental Self-organizing Isometric Embedding.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

A Multi-objective Cooperative Coevolutionary Algorithm for Constructing Accurate and Interpretable Fuzzy systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Self-organizing Isometric Embedding Based on Statistical Criterions.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

2005
A Clustering Algorithm Based on Density Kernel Extension.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Robust Nonlinear Dimension Reduction: A Self-organizing Approach.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
Nonlinear Prediction Model Identification and Robust Prediction of Chaotic Time Series.
Proceedings of the Advances in Neural Networks, 2004


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