Hua Xu

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


According to our database1, Hua Xu authored at least 26 papers between 2012 and 2021.

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

Timeline

Legend:

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Bibliography

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
Discovering New Intents with Deep Aligned Clustering.
CoRR, 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

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

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

Grasp the implicit features: Hierarchical emotion classification based on topic model and SVM.
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

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

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


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