Hua Xu

Orcid: 0000-0002-7401-307X

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China


According to our database1, Hua Xu authored at least 79 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
High-Dimensional Multi-Objective Bayesian Optimization With Block Coordinate Updates: Case Studies in Intelligent Transportation System.
IEEE Trans. Intell. Transp. Syst., January, 2024

Meta Noise Adaption Framework for Multimodal Sentiment Analysis With Feature Noise.
IEEE Trans. Multim., 2024

Noise Imitation Based Adversarial Training for Robust Multimodal Sentiment Analysis.
IEEE Trans. Multim., 2024

Multimodal Consistency-Based Teacher for Semi-Supervised Multimodal Sentiment Analysis.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Generate Scalable MILP Instances.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A two-stage segmentation of sublingual veins based on compact fully convolutional networks for Traditional Chinese Medicine images.
Health Inf. Sci. Syst., December, 2023

Robustness-Eva-MRC: Assessing and analyzing the robustness of neural models in extractive machine reading comprehension.
Intell. Syst. Appl., November, 2023

Trustworthy machine reading comprehension with conditional adversarial calibration.
Appl. Intell., June, 2023

Intent Recognition for Human-Machine Interactions
Springer Briefs in Computer Science, Springer, ISBN: 978-981-99-3884-1, 2023

Learning Discriminative Representations and Decision Boundaries for Open Intent Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery.
CoRR, 2023

2022
High-dimensional expensive multi-objective optimization via additive structure.
Intell. Syst. Appl., 2022

An adaptive batch Bayesian optimization approach for expensive multi-objective problems.
Inf. Sci., 2022

A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences.
CoRR, 2022

Towards Open Intent Detection.
CoRR, 2022

Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MIntRec: A New Dataset for Multimodal Intent Recognition.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module.
Proceedings of the International Conference on Multimodal Interaction, 2022

An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Consistent Representation Learning for Continual Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

M-SENA: An Integrated Platform for Multimodal Sentiment Analysis.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition.
CoRR, 2021

Discovering New Intents with Deep Aligned Clustering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deep Open Intent Classification with Adaptive Decision Boundary.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Heterogeneous graph neural networks for noisy few-shot relation classification.
Knowl. Based Syst., 2020

Improving the robustness of machine reading comprehension model with hierarchical knowledge and auxiliary unanswerability prediction.
Knowl. Based Syst., 2020

Discovering New Intents with Deep Aligned Clustering.
CoRR, 2020

CM-BERT: Cross-Modal BERT for Text-Audio Sentiment Analysis.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier.
Knowl. Based Syst., 2019

A joint model of extended LDA and IBTM over streaming Chinese short texts.
Intell. Data Anal., 2019

Balancing exploration and exploitation in multiobjective batch bayesian optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Noisy multiobjective black-box optimization using bayesian optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Deep Unknown Intent Detection with Margin Loss.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis.
IEEE Trans. Evol. Comput., 2018

Topic Discovery for Streaming Short Texts with CTM.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Two-Stage Attention Network for Aspect-Level Sentiment Classification.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
FastBTM: Reducing the sampling time for biterm topic model.
Knowl. Based Syst., 2017

On the need of hierarchical emotion classification: Detecting the implicit feature using constrained topic model.
Intell. Data Anal., 2017

ABiRCNN with neural tensor network for answer selection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Optimize collapsed Gibbs sampling for biterm topic model by alias method.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Chinese Micro-Blog Emotion Classification by Exploiting Linguistic Features and SVM<sup><i>perf</i></sup>.
Proceedings of the Sentiment Analysis and Ontology Engineering, 2016

Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers.
IEEE Trans. Evol. Comput., 2016

A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2016

BitHash: An efficient bitwise Locality Sensitive Hashing method with applications.
Knowl. Based Syst., 2016

Suggest what to tag: Recommending more precise hashtags based on users' dynamic interests and streaming tweet content.
Knowl. Based Syst., 2016

User-IBTM: An Online Framework for Hashtag Suggestion in Twitter.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Grasp the implicit features: Hierarchical emotion classification based on topic model and SVM.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Tweet modeling with LSTM recurrent neural networks for hashtag recommendation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Hyperbolic linear units for deep convolutional neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Multiobjective Flexible Job Shop Scheduling Using Memetic Algorithms.
IEEE Trans Autom. Sci. Eng., 2015

Implicit feature identification in Chinese reviews using explicit topic mining model.
Knowl. Based Syst., 2015

A rule-based approach to emotion cause detection for Chinese micro-blogs.
Expert Syst. Appl., 2015

Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

An Experimental Investigation of Variation Operators in Reference-Point Based Many-Objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Scale adaptive reproduction operator for decomposition based estimation of distribution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Large Scale Sentiment Analysis with Locality Sensitive BitHash.
Proceedings of the Information Retrieval Technology, 2015

2014
Emotion classification based on structured information.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Evolutionary many-objective optimization using ensemble fitness ranking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

An improved NSGA-III procedure for evolutionary many-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A two-level hierarchical EDA using conjugate priori.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Quantum-inspired evolutionary algorithm with linkage learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
An integrated search heuristic for large-scale flexible job shop scheduling problems.
Comput. Oper. Res., 2013

Flexible job shop scheduling using hybrid differential evolution algorithms.
Comput. Ind. Eng., 2013

A hybrid harmony search algorithm for the flexible job shop scheduling problem.
Appl. Soft Comput., 2013

A memetic algorithm for the multi-objective flexible job shop scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis.
Expert Syst. Appl., 2012

HHS/LNS: An integrated search method for flexible job shop scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Questionnaires-based skin attribute prediction using Elman neural network.
Neurocomputing, 2011

2009
Duple-EDA and sample density balancing.
Sci. China Ser. F Inf. Sci., 2009

2007
Cross entropy and adaptive variance scaling in continuous EDA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007


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