Hua Xu

127 papers A* 21A 7B 11Journal 69Unranked 17
YearRankTypeTitle / Venue / Authors
2026 A* conf
Ellipsoid-Based Decision Boundaries for Open Intent Classification.
AAAI
Yuetian Zou, Hanlei Zhang, Hua Xu, Songze Li, Long Xiao
2026 J jnl
Evolutionary Multimodal Reasoning via Hierarchical Semantic Representation for Intent Recognition.
CoRR
Qianrui Zhou, Hua Xu, Yunjin Gu, Yifan Wang, Songze Li, Hanlei Zhang
2026 J jnl
HEQP: A Hypergraph Neural Network-Based Evolutionary Method for Large-Scale QCQPs.
IEEE Trans. Cybern.
Zhixiao Xiong, Huigen Ye, Hua Xu, Carlos A. Coello Coelle
2026 J jnl
Light-EvoOPT: A Lightweight Evolutionary Optimization Framework for Ultralarge-Scale Mixed Integer Linear Programs.
IEEE Trans. Evol. Comput.
Huigen Ye, Hua Xu, Carlos A. Coello Coello
2025 J jnl
A unified prompt-based framework for few-shot multimodal language analysis.
Intell. Syst. Appl.
Xiaohan Zhang, Runmin Cao, Yifan Wang, Songze Li, Hua Xu, Kai Gao, Lunsong Huang
2025 J jnl
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark.
CoRR
Hanlei Zhang, Zhuohang Li, Yeshuang Zhu, Hua Xu, Peiwu Wang, Haige Zhu, Jie Zhou, Jinchao Zhang
2025 J jnl
Code Retrieval for MILP Instance Generation.
CoRR
Tianxing Yang, Huigen Ye, Hua Xu
2025 J jnl
Ellipsoid-Based Decision Boundaries for Open Intent Classification.
CoRR
Yuetian Zou, Hanlei Zhang, Hua Xu, Songze Li, Long Xiao
2025 J jnl
HyP-ASO: A Hybrid Policy-based Adaptive Search Optimization Framework for Large-Scale Integer Linear Programs.
CoRR
Ning Xu, Junkai Zhang, Yang Wu, Huigen Ye, Hua Xu, Huiling Xu, Yifan Zhang
2025 — conf
Intelligent Evolution Optimization: Guided from Deep Learning to Large Language Model.
GECCO Companion
Hua Xu, Xiaodong Li, Yuan Sun, Huigen Ye
2025 A* conf
LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition.
EMNLP
Qianrui Zhou, Hua Xu, Yifan Wang, Xinzhi Dong, Hanlei Zhang
2025 J jnl
LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition.
CoRR
Qianrui Zhou, Hua Xu, Yifan Wang, Xinzhi Dong, Hanlei Zhang
2025 A* conf
Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems.
ICML
Huigen Ye, Hua Xu, An Yan, Yaoyang Cheng
2025 J jnl
Learning how to transfer: A lifelong domain knowledge distillation framework for continual MRC.
Intell. Syst. Appl.
Songze Li, Zhijing Wu, Runmin Cao, Xiaohan Zhang, Yifan Wang, Hua Xu, Kai Gao
2025 A conf
MILPBench: A Large-scale Benchmark Test Suite for Mixed Integer Linear Programming Problems.
GECCO
Huigen Ye, Yaoyang Cheng, Hua Xu, Zhiguang Cao, Hanzhang Qin
2025 J jnl
Multimodal Classification and Out-of-Distribution Detection for Multimodal Intent Understanding.
IEEE Trans. Multim.
Hanlei Zhang, Qianrui Zhou, Hua Xu, Jianhua Su, Roberto Evans, Kai Gao
2024 J jnl
A Clustering Framework for Unsupervised and Semi-Supervised New Intent Discovery.
IEEE Trans. Knowl. Data Eng.
Hanlei Zhang, Hua Xu, Xin Wang, Fei Long, Kai Gao
2024 J jnl
AdaFN-AG: Enhancing multimodal interaction with Adaptive Feature Normalization for multimodal sentiment analysis.
Intell. Syst. Appl.
Weilong Liu, Hua Xu, Yu Hua, Yunxian Chi, Kai Gao
2024 J jnl
Crossmodal Translation Based Meta Weight Adaption for Robust Image-Text Sentiment Analysis.
IEEE Trans. Multim.
Baozheng Zhang, Ziqi Yuan, Hua Xu, Kai Gao
2024 J jnl
High-Dimensional Multi-Objective Bayesian Optimization With Block Coordinate Updates: Case Studies in Intelligent Transportation System.
IEEE Trans. Intell. Transp. Syst.
Hongyan Wang, Hua Xu, Zeqiu Zhang
2024 — conf
Learning to Generate Scalable MILP Instances.
GECCO Companion
Tianxing Yang, Huigen Ye, Hua Xu
2024 A* conf
Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset.
ICLR
Huigen Ye, Hua Xu, Hongyan Wang
2024 A* conf
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations.
ICLR
Hanlei Zhang, Xin Wang, Hua Xu, Qianrui Zhou, Kai Gao, Jianhua Su, Jinyue Zhao, Wenrui Li, Yanting Chen
2024 J jnl
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations.
CoRR
Hanlei Zhang, Xin Wang, Hua Xu, Qianrui Zhou, Kai Gao, Jianhua Su, Jinyue Zhao, Wenrui Li, Yanting Chen
2024 J jnl
Meta Noise Adaption Framework for Multimodal Sentiment Analysis With Feature Noise.
IEEE Trans. Multim.
Ziqi Yuan, Baozheng Zhang, Hua Xu, Kai Gao
2024 J jnl
Multimodal Classification and Out-of-distribution Detection for Multimodal Intent Understanding.
CoRR
Hanlei Zhang, Qianrui Zhou, Hua Xu, Jianhua Su, Roberto Evans, Kai Gao
2024 J jnl
Multimodal Consistency-Based Teacher for Semi-Supervised Multimodal Sentiment Analysis.
IEEE ACM Trans. Audio Speech Lang. Process.
Ziqi Yuan, Jingliang Fang, Hua Xu, Kai Gao
2024 J jnl
NeuralQP: A General Hypergraph-based Optimization Framework for Large-scale QCQPs.
CoRR
Zhixiao Xiong, Fangyu Zong, Huigen Ye, Hua Xu
2024 J jnl
Noise Imitation Based Adversarial Training for Robust Multimodal Sentiment Analysis.
IEEE Trans. Multim.
Ziqi Yuan, Yihe Liu, Hua Xu, Kai Gao
2024 — conf
OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios.
ACL (3)
Ziqi Yuan, Baozheng Zhang, Hua Xu, Zhiyun Liang, Kai Gao
2024 J jnl
OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios.
CoRR
Ziqi Yuan, Baozheng Zhang, Hua Xu, Zhiyun Liang, Kai Gao
2024 A* conf
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition.
AAAI
Qianrui Zhou, Hua Xu, Hao Li, Hanlei Zhang, Xiaohan Zhang, Yifan Wang, Kai Gao
2024 — conf
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances.
ACL (1)
Hanlei Zhang, Hua Xu, Fei Long, Xin Wang, Kai Gao
2024 J jnl
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances.
CoRR
Hanlei Zhang, Hua Xu, Fei Long, Xin Wang, Kai Gao
2023 J jnl
A two-stage segmentation of sublingual veins based on compact fully convolutional networks for Traditional Chinese Medicine images.
Health Inf. Sci. Syst.
Hua Xu, Xiaofei Chen, Peng Qian, Fufeng Li
2023 A* conf
Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract).
AAAI
Huigen Ye, Hongyan Wang, Hua Xu, Chengming Wang, Yu Jiang
2023 A* conf
GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming.
ICML
Huigen Ye, Hua Xu, Hongyan Wang, Chengming Wang, Yu Jiang
2023 — book
Intent Recognition for Human-Machine Interactions
Hua Xu, Hanlei Zhang, Ting-En Lin
2023 J jnl
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection.
IEEE ACM Trans. Audio Speech Lang. Process.
Hanlei Zhang, Hua Xu, Shaojie Zhao, Qianrui Zhou
2023 A* conf
Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis.
AAAI
Huisheng Mao, Baozheng Zhang, Hua Xu, Ziqi Yuan, Yihe Liu
2023 J jnl
Robustness-Eva-MRC: Assessing and analyzing the robustness of neural models in extractive machine reading comprehension.
Intell. Syst. Appl.
Jingliang Fang, Hua Xu, Zhijing Wu, Kai Gao, Xiaoyin Che, Haotian Hui
2023 J jnl
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition.
CoRR
Qianrui Zhou, Hua Xu, Hao Li, Hanlei Zhang, Xiaohan Zhang, Yifan Wang, Kai Gao
2023 J jnl
Trustworthy machine reading comprehension with conditional adversarial calibration.
Appl. Intell.
Zhijing Wu, Hua Xu
2023 J jnl
USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery.
CoRR
Hanlei Zhang, Hua Xu, Xin Wang, Fei Long, Kai Gao
2022 J jnl
A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences.
CoRR
Kaicheng Yang, Ruxuan Zhang, Hua Xu, Kai Gao
2022 J jnl
Adaptive Constraint Partition based Optimization Framework for Large-scale Integer Linear Programming(Student Abstract).
CoRR
Huigen Ye, Hongyan Wang, Hua Xu, Chengming Wang, Yu Jiang
2022 A* conf
An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion.
AAAI
Huisheng Mao, Baozheng Zhang, Hua Xu, Kai Gao
2022 A conf
An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models.
CIKM
Zhijing Wu, Jingliang Fang, Hua Xu, Kai Gao
2022 J jnl
An adaptive batch Bayesian optimization approach for expensive multi-objective problems.
Inf. Sci.
Hongyan Wang, Hua Xu, Yuan Yuan, Zeqiu Zhang
2022 — conf
Consistent Representation Learning for Continual Relation Extraction.
ACL (Findings)
Kang Zhao, Hua Xu, Jiangong Yang, Kai Gao
2022 J jnl
Consistent Representation Learning for Continual Relation Extraction.
CoRR
Kang Zhao, Hua Xu, Jiangong Yang, Kai Gao
2022 — conf
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation.
NAACL-HLT (Findings)
Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao
2022 J jnl
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation.
CoRR
Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao
2022 J jnl
GAR-Net: A Graph Attention Reasoning Network for conversation understanding.
Knowl. Based Syst.
Hua Xu, Ziqi Yuan, Kang Zhao, Yunfeng Xu, Jiyun Zou, Kai Gao
2022 J jnl
High-dimensional expensive multi-objective optimization via additive structure.
Intell. Syst. Appl.
Hongyan Wang, Hua Xu, Yuan Yuan
2022 — conf
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis.
ACL (demo)
Huisheng Mao, Ziqi Yuan, Hua Xu, Wenmeng Yu, Yihe Liu, Kai Gao
2022 J jnl
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis.
CoRR
Huisheng Mao, Ziqi Yuan, Hua Xu, Wenmeng Yu, Yihe Liu, Kai Gao
2022 A* conf
MIntRec: A New Dataset for Multimodal Intent Recognition.
ACM Multimedia
Hanlei Zhang, Hua Xu, Xin Wang, Qianrui Zhou, Shaojie Zhao, Jiayan Teng
2022 J jnl
MIntRec: A New Dataset for Multimodal Intent Recognition.
CoRR
Hanlei Zhang, Hua Xu, Xin Wang, Qianrui Zhou, Shaojie Zhao, Jiayan Teng
2022 B conf
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module.
ICMI
Yihe Liu, Ziqi Yuan, Huisheng Mao, Zhiyun Liang, Wanqiuyue Yang, Yuanzhe Qiu, Tie Cheng, Xiaoteng Li, Hua Xu, Kai Gao
2022 J jnl
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module.
CoRR
Yihe Liu, Ziqi Yuan, Huisheng Mao, Zhiyun Liang, Wanqiuyue Yang, Yuanzhe Qiu, Tie Cheng, Xiaoteng Li, Hua Xu, Kai Gao
2022 J jnl
Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis.
CoRR
Huisheng Mao, Baozheng Zhang, Hua Xu, Ziqi Yuan, Yihe Liu
2022 J jnl
Towards Open Intent Detection.
CoRR
Hanlei Zhang, Hua Xu, Shaojie Zhao, Qianrui Zhou
2021 A* conf
Deep Open Intent Classification with Adaptive Decision Boundary.
AAAI
Hanlei Zhang, Hua Xu, Ting-En Lin
2021 A* conf
Discovering New Intents with Deep Aligned Clustering.
AAAI
Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lyu
2021 A* conf
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis.
AAAI
Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu
2021 J jnl
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis.
CoRR
Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu
2021 J jnl
Representation iterative fusion based on heterogeneous graph neural network for joint entity and relation extraction.
Knowl. Based Syst.
Kang Zhao, Hua Xu, Yue Cheng, Xiaoteng Li, Kai Gao
2021 — conf
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition.
ACL (demo)
Hanlei Zhang, Xiaoteng Li, Hua Xu, Panpan Zhang, Kang Zhao, Kai Gao
2021 J jnl
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition.
CoRR
Hanlei Zhang, Xiaoteng Li, Hua Xu, Panpan Zhang, Kang Zhao, Kai Gao
2021 A* conf
Transformer-based Feature Reconstruction Network for Robust Multimodal Sentiment Analysis.
ACM Multimedia
Ziqi Yuan, Wei Li, Hua Xu, Wenmeng Yu
2020 A* conf
A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract).
AAAI
Zhijing Wu, Hua Xu
2020 J jnl
A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier.
CoRR
Ting-En Lin, Hua Xu
2020 A* conf
CM-BERT: Cross-Modal BERT for Text-Audio Sentiment Analysis.
ACM Multimedia
Kaicheng Yang, Hua Xu, Kai Gao
2020 A* conf
Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract).
AAAI
Xili Wang, Hua Xu, Xiaomin Sun, Guangcan Tao
2020 A* conf
Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract).
AAAI
Ting-En Lin, Hua Xu, Hanlei Zhang
2020 J jnl
Deep Open Intent Classification with Adaptive Decision Boundary.
CoRR
Hanlei Zhang, Hua Xu, Ting-En Lin
2020 A* conf
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement.
AAAI
Ting-En Lin, Hua Xu, Hanlei Zhang
2020 J jnl
Discovering New Intents with Deep Aligned Clustering.
CoRR
Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lv
2020 J jnl
Heterogeneous graph neural networks for noisy few-shot relation classification.
Knowl. Based Syst.
Yuxiang Xie, Hua Xu, Jiaoe Li, Congcong Yang, Kai Gao
2020 J jnl
Improving the robustness of machine reading comprehension model with hierarchical knowledge and auxiliary unanswerability prediction.
Knowl. Based Syst.
Zhijing Wu, Hua Xu
2020 A* conf
Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract).
AAAI
Yuxiang Xie, Hua Xu, Congcong Yang, Kai Gao
2019 J jnl
A joint model of extended LDA and IBTM over streaming Chinese short texts.
Intell. Data Anal.
Longxia Zhu, Hua Xu, Yunfeng Xu, Yi Xiao, Jia Li, Junhui Deng, Xiaomin Sun, Xiaoli Bai
2019 J jnl
A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier.
Knowl. Based Syst.
Ting-En Lin, Hua Xu
2019 — conf
Balancing exploration and exploitation in multiobjective batch bayesian optimization.
GECCO (Companion)
Hongyan Wang, Hua Xu, Yuan Yuan, Xiaomin Sun, Junhui Deng
2019 — conf
Deep Unknown Intent Detection with Margin Loss.
ACL (1)
Ting-En Lin, Hua Xu
2019 J jnl
Deep Unknown Intent Detection with Margin Loss.
CoRR
Ting-En Lin, Hua Xu
2019 J jnl
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement.
CoRR
Ting-En Lin, Hua Xu, Hanlei Zhang
2019 — conf
Noisy multiobjective black-box optimization using bayesian optimization.
GECCO (Companion)
Hongyan Wang, Hua Xu, Yuan Yuan, Junhui Deng, Xiaomin Sun
2018 B conf
Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification.
IJCNN
Kai Gao, Hua Xu, Chengliang Gao, Hanyong Hao, Junhui Deng, Xiaomin Sun
2018 J jnl
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis.
IEEE Trans. Evol. Comput.
Yuan Yuan, Yew-Soon Ong, Abhishek Gupta, Hua Xu
2018 B conf
Topic Discovery for Streaming Short Texts with CTM.
IJCNN
Yunfeng Xu, Hua Xu, Longxia Zhu, Hanyong Hao, Junhui Deng, Xiaomin Sun, Xiaoli Bai
2018 — conf
Two-Stage Attention Network for Aspect-Level Sentiment Classification.
ICONIP (4)
Kai Gao, Hua Xu, Chengliang Gao, Xiaomin Sun, Junhui Deng, Xiaoming Zhang
2017 B conf
ABiRCNN with neural tensor network for answer selection.
IJCNN
Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Jia Li
2017 J jnl
FastBTM: Reducing the sampling time for biterm topic model.
Knowl. Based Syst.
Xingwei He, Hua Xu, Jia Li, Liu He, Linlin Yu
2017 J jnl
On the need of hierarchical emotion classification: Detecting the implicit feature using constrained topic model.
Intell. Data Anal.
Fan Zhang, Hua Xu, Xiaoli Bai
2017 B conf
Optimize collapsed Gibbs sampling for biterm topic model by alias method.
IJCNN
Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Xiaoli Bai, Jia Li
2016 J jnl
A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Yuan Yuan, Hua Xu, Bo Wang, Xin Yao
2016 J jnl
Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers.
IEEE Trans. Evol. Comput.
Yuan Yuan, Hua Xu, Bo Wang, Bo Zhang, Xin Yao
2016 J jnl
BitHash: An efficient bitwise Locality Sensitive Hashing method with applications.
Knowl. Based Syst.
Wenhao Zhang, Jianqiu Ji, Jun Zhu, Jianmin Li, Hua Xu, Bo Zhang
2016 — ch.
Chinese Micro-Blog Emotion Classification by Exploiting Linguistic Features and SVM
Sentiment Analysis and Ontology Engineering
Hua Xu, Fan Zhang, Jiushuo Wang, Weiwei Yang
2016 B conf
Grasp the implicit features: Hierarchical emotion classification based on topic model and SVM.
IJCNN
Fan Zhang, Hua Xu, Jiushuo Wang, Xiaomin Sun, Junhui Deng
2016 B conf
Hyperbolic linear units for deep convolutional neural networks.
IJCNN
Jia Li, Hua Xu, Junhui Deng, Xiaomin Sun
2016 J jnl
Suggest what to tag: Recommending more precise hashtags based on users' dynamic interests and streaming tweet content.
Knowl. Based Syst.
Jia Li, Hua Xu
2016 B conf
Tweet modeling with LSTM recurrent neural networks for hashtag recommendation.
IJCNN
Jia Li, Hua Xu, Xingwei He, Junhui Deng, Xiaomin Sun
2016 — conf
User-IBTM: An Online Framework for Hashtag Suggestion in Twitter.
WAIM (2)
Jia Li, Hua Xu
2015 J jnl
A rule-based approach to emotion cause detection for Chinese micro-blogs.
Expert Syst. Appl.
Kai Gao, Hua Xu, Jiushuo Wang
2015 A conf
An Experimental Investigation of Variation Operators in Reference-Point Based Many-Objective Optimization.
GECCO
Yuan Yuan, Hua Xu, Bo Wang
2015 — conf
Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model.
PAKDD (2)
Kai Gao, Hua Xu, Jiushuo Wang
2015 J jnl
Implicit feature identification in Chinese reviews using explicit topic mining model.
Knowl. Based Syst.
Hua Xu, Fan Zhang, Wei Wang
2015 — conf
Large Scale Sentiment Analysis with Locality Sensitive BitHash.
AIRS
Wenhao Zhang, Jianqiu Ji, Jun Zhu, Hua Xu, Bo Zhang
2015 J jnl
Multiobjective Flexible Job Shop Scheduling Using Memetic Algorithms.
IEEE Trans Autom. Sci. Eng.
Yuan Yuan, Hua Xu
2015 B conf
Scale adaptive reproduction operator for decomposition based estimation of distribution algorithm.
CEC
Bo Wang, Hua Xu, Yuan Yuan
2014 — conf
A two-level hierarchical EDA using conjugate priori.
GECCO (Companion)
Bo Wang, Hua Xu, Yuan Yuan
2014 A conf
An improved NSGA-III procedure for evolutionary many-objective optimization.
GECCO
Yuan Yuan, Hua Xu, Bo Wang
2014 — conf
Emotion classification based on structured information.
MFI
Kai Gao, Hua Xu, Jiushuo Wang
2014 A conf
Evolutionary many-objective optimization using ensemble fitness ranking.
GECCO
Yuan Yuan, Hua Xu, Bo Wang
2014 B conf
Quantum-inspired evolutionary algorithm with linkage learning.
IEEE Congress on Evolutionary Computation
Bo Wang, Hua Xu, Yuan Yuan
2013 J jnl
A hybrid harmony search algorithm for the flexible job shop scheduling problem.
Appl. Soft Comput.
Yuan Yuan, Hua Xu, Jiadong Yang
2013 A conf
A memetic algorithm for the multi-objective flexible job shop scheduling problem.
GECCO
Yuan Yuan, Hua Xu
2013 J jnl
An integrated search heuristic for large-scale flexible job shop scheduling problems.
Comput. Oper. Res.
Yuan Yuan, Hua Xu
2013 J jnl
Flexible job shop scheduling using hybrid differential evolution algorithms.
Comput. Ind. Eng.
Yuan Yuan, Hua Xu
2012 B conf
HHS/LNS: An integrated search method for flexible job shop scheduling.
IEEE Congress on Evolutionary Computation
Yuan Yuan, Hua Xu
2012 J jnl
Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis.
Expert Syst. Appl.
Wenhao Zhang, Hua Xu, Wei Wan
2011 J jnl
Questionnaires-based skin attribute prediction using Elman neural network.
Neurocomputing
Wei Wan, Hua Xu, Wenhao Zhang, Xincheng Hu, Gang Deng
2009 J jnl
Duple-EDA and sample density balancing.
Sci. China Ser. F Inf. Sci.
Yunpeng Cai, Hua Xu, Xiaomin Sun, Peifa Jia, Zehua Liu
2007 A conf
Cross entropy and adaptive variance scaling in continuous EDA.
GECCO
Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia