Cross entropy and adaptive variance scaling in continuous EDA. - Yunpeng Cai; Xiaomin Sun 001; Hua Xu 003; Peifa Jia (GECCO, 2007)

Duple-EDA and sample density balancing. - Yunpeng Cai; Hua Xu 003; Xiaomin Sun 001; Peifa Jia; ZeHua Liu (Sci. China Ser. F Inf. Sci., 2009)

Questionnaires-based skin attribute prediction using Elman neural network. - Wei Wan; Hua Xu 003; Wenhao Zhang 003; Xincheng Hu; Gang Deng (Neurocomputing, 2011)

HHS/LNS: An integrated search method for flexible job shop scheduling. - Yuan Yuan 004; Hua Xu 003 (IEEE Congress on Evolutionary Computation, 2012)

Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis. - Wenhao Zhang 003; Hua Xu 003; Wei Wan (Expert Syst. Appl., 2012)

A memetic algorithm for the multi-objective flexible job shop scheduling problem. - Yuan Yuan 004; Hua Xu 003 (GECCO, 2013)

A hybrid harmony search algorithm for the flexible job shop scheduling problem. - Yuan Yuan 004; Hua Xu 003; Jiadong Yang (Appl. Soft Comput., 2013)

Flexible job shop scheduling using hybrid differential evolution algorithms. - Yuan Yuan 004; Hua Xu 003 (Comput. Ind. Eng., 2013)

An integrated search heuristic for large-scale flexible job shop scheduling problems. - Yuan Yuan 004; Hua Xu 003 (Comput. Oper. Res., 2013)

Quantum-inspired evolutionary algorithm with linkage learning. - Bo Wang 051; Hua Xu 003; Yuan Yuan 004 (IEEE Congress on Evolutionary Computation, 2014)

A two-level hierarchical EDA using conjugate priori. - Bo Wang 051; Hua Xu 003; Yuan Yuan 004 (GECCO (Companion), 2014)

An improved NSGA-III procedure for evolutionary many-objective optimization. - Yuan Yuan 004; Hua Xu 003; Bo Wang 051 (GECCO, 2014)

Evolutionary many-objective optimization using ensemble fitness ranking. - Yuan Yuan 004; Hua Xu 003; Bo Wang 051 (GECCO, 2014)

Emotion classification based on structured information. - Kai Gao; Hua Xu 003; Jiushuo Wang (MFI, 2014)

Large Scale Sentiment Analysis with Locality Sensitive BitHash. - Wenhao Zhang 003; Jianqiu Ji; Jun Zhu 001; Hua Xu 003; Bo Zhang 010 (AIRS, 2015)

Scale adaptive reproduction operator for decomposition based estimation of distribution algorithm. - Bo Wang 051; Hua Xu 003; Yuan Yuan 004 (CEC, 2015)

An Experimental Investigation of Variation Operators in Reference-Point Based Many-Objective Optimization. - Yuan Yuan 004; Hua Xu 003; Bo Wang 051 (GECCO, 2015)

Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model. - Kai Gao; Hua Xu 003; Jiushuo Wang (PAKDD (2), 2015)

A rule-based approach to emotion cause detection for Chinese micro-blogs. - Kai Gao; Hua Xu 003; Jiushuo Wang (Expert Syst. Appl., 2015)

Implicit feature identification in Chinese reviews using explicit topic mining model. - Hua Xu 003; Fan Zhang; Wei Wang (Knowl. Based Syst., 2015)

Multiobjective Flexible Job Shop Scheduling Using Memetic Algorithms. - Yuan Yuan 004; Hua Xu 003 (IEEE Trans Autom. Sci. Eng., 2015)

Hyperbolic linear units for deep convolutional neural networks. - Jia Li 025; Hua Xu 003; Junhui Deng; Xiaomin Sun 001 (IJCNN, 2016)

Tweet modeling with LSTM recurrent neural networks for hashtag recommendation. - Jia Li 025; Hua Xu 003; Xingwei He 002; Junhui Deng; Xiaomin Sun 001 (IJCNN, 2016)

Grasp the implicit features: Hierarchical emotion classification based on topic model and SVM. - Fan Zhang; Hua Xu 003; Jiushuo Wang; Xiaomin Sun 001; Junhui Deng (IJCNN, 2016)

User-IBTM: An Online Framework for Hashtag Suggestion in Twitter. - Jia Li 025; Hua Xu 003 (WAIM (2), 2016)

Suggest what to tag: Recommending more precise hashtags based on users' dynamic interests and streaming tweet content. - Jia Li 025; Hua Xu 003 (Knowl. Based Syst., 2016)

BitHash: An efficient bitwise Locality Sensitive Hashing method with applications. - Wenhao Zhang 003; Jianqiu Ji; Jun Zhu 001; Jianmin Li 001; Hua Xu 003; Bo Zhang 010 (Knowl. Based Syst., 2016)

A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization. - Yuan Yuan 004; Hua Xu 003; Bo Wang 051; Xin Yao 001 (IEEE Trans. Evol. Comput., 2016)

Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers. - Yuan Yuan 004; Hua Xu 003; Bo Wang 051; Bo Zhang 010; Xin Yao 001 (IEEE Trans. Evol. Comput., 2016)

Chinese Micro-Blog Emotion Classification by Exploiting Linguistic Features and SVMperf. - Hua Xu 003; Fan Zhang; Jiushuo Wang; Weiwei Yang (Sentiment Analysis and Ontology Engineering, 2016)

Optimize collapsed Gibbs sampling for biterm topic model by alias method. - Xingwei He 002; Hua Xu 003; Xiaomin Sun 001; Junhui Deng; Xiaoli Bai; Jia Li 025 (IJCNN, 2017)

ABiRCNN with neural tensor network for answer selection. - Xingwei He 002; Hua Xu 003; Xiaomin Sun 001; Junhui Deng; Jia Li 025 (IJCNN, 2017)

On the need of hierarchical emotion classification: Detecting the implicit feature using constrained topic model. - Fan Zhang; Hua Xu 003; Xiaoli Bai (Intell. Data Anal., 2017)

FastBTM: Reducing the sampling time for biterm topic model. - Xingwei He 002; Hua Xu 003; Jia Li 025; Liu He; Linlin Yu (Knowl. Based Syst., 2017)

Two-Stage Attention Network for Aspect-Level Sentiment Classification. - Kai Gao; Hua Xu 003; Chengliang Gao; Xiaomin Sun 001; Junhui Deng; Xiaoming Zhang (ICONIP (4), 2018)

Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification. - Kai Gao; Hua Xu 003; Chengliang Gao; Hanyong Hao; Junhui Deng; Xiaomin Sun 001 (IJCNN, 2018)

Topic Discovery for Streaming Short Texts with CTM. - Yunfeng Xu; Hua Xu 003; Longxia Zhu; Hanyong Hao; Junhui Deng; Xiaomin Sun 001; Xiaoli Bai (IJCNN, 2018)

Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis. - Yuan Yuan 004; Yew-Soon Ong; Abhishek Gupta 001; Hua Xu 003 (IEEE Trans. Evol. Comput., 2018)

Deep Unknown Intent Detection with Margin Loss. - Ting-En Lin; Hua Xu 003 (ACL (1), 2019)

Noisy multiobjective black-box optimization using bayesian optimization. - Hongyan Wang; Hua Xu 003; Yuan Yuan 004; Junhui Deng; Xiaomin Sun 001 (GECCO (Companion), 2019)

Balancing exploration and exploitation in multiobjective batch bayesian optimization. - Hongyan Wang; Hua Xu 003; Yuan Yuan 004; Xiaomin Sun 001; Junhui Deng (GECCO (Companion), 2019)

A joint model of extended LDA and IBTM over streaming Chinese short texts. - Longxia Zhu; Hua Xu 003; Yunfeng Xu; Yi Xiao; Jia Li 025; Junhui Deng; Xiaomin Sun 001; Xiaoli Bai (Intell. Data Anal., 2019)

A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier. - Ting-En Lin; Hua Xu 003 (Knowl. Based Syst., 2019)

Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract). - Ting-En Lin; Hua Xu 003; Hanlei Zhang (AAAI, 2020)

Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement. - Ting-En Lin; Hua Xu 003; Hanlei Zhang (AAAI, 2020)

Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract). - Xili Wang; Hua Xu 003; Xiaomin Sun 001; Guangcan Tao (AAAI, 2020)

A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract). - Zhijing Wu 002; Hua Xu 003 (AAAI, 2020)

Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract). - Yuxiang Xie; Hua Xu 003; Congcong Yang; Kai Gao (AAAI, 2020)

CM-BERT: Cross-Modal BERT for Text-Audio Sentiment Analysis. - Kaicheng Yang 005; Hua Xu 003; Kai Gao (ACM Multimedia, 2020)

Discovering New Intents with Deep Aligned Clustering. - Hanlei Zhang; Hua Xu 003; Ting-En Lin; Rui Lv (CoRR, 2020)

Improving the robustness of machine reading comprehension model with hierarchical knowledge and auxiliary unanswerability prediction. - Zhijing Wu 002; Hua Xu 003 (Knowl. Based Syst., 2020)

Heterogeneous graph neural networks for noisy few-shot relation classification. - Yuxiang Xie; Hua Xu 003; Jiaoe Li; Congcong Yang; Kai Gao (Knowl. Based Syst., 2020)

Deep Open Intent Classification with Adaptive Decision Boundary. - Hanlei Zhang; Hua Xu 003; Ting-En Lin (AAAI, 2021)

Discovering New Intents with Deep Aligned Clustering. - Hanlei Zhang; Hua Xu 003; Ting-En Lin; Rui Lyu (AAAI, 2021)

TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition. - Hanlei Zhang; Xiaoteng Li; Hua Xu 003; Panpan Zhang; Kang Zhao; Kai Gao (CoRR, 2021)

An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion. - Huisheng Mao; Baozheng Zhang; Hua Xu 003; Kai Gao (AAAI, 2022)

M-SENA: An Integrated Platform for Multimodal Sentiment Analysis. - Huisheng Mao; Ziqi Yuan; Hua Xu 003; Wenmeng Yu; Yihe Liu; Kai Gao (ACL (demo), 2022)

Consistent Representation Learning for Continual Relation Extraction. - Kang Zhao; Hua Xu 003; Jiangong Yang; Kai Gao (ACL (Findings), 2022)

An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models. - Zhijing Wu 002; Jingliang Fang; Hua Xu 003; Kai Gao (CIKM, 2022)

Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module. - Yihe Liu; Ziqi Yuan; Huisheng Mao; Zhiyun Liang; Wanqiuyue Yang; Yuanzhe Qiu; Tie Cheng; Xiaoteng Li; Hua Xu 003; Kai Gao (ICMI, 2022)

MIntRec: A New Dataset for Multimodal Intent Recognition. - Hanlei Zhang; Hua Xu 003; Xin Wang; Qianrui Zhou; Shaojie Zhao; Jiayan Teng (ACM Multimedia, 2022)

Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation. - Zhijing Wu 002; Hua Xu 003; Jingliang Fang; Kai Gao (NAACL-HLT (Findings), 2022)

Towards Open Intent Detection. - Hanlei Zhang; Hua Xu 003; Shaojie Zhao; Qianrui Zhou (CoRR, 2022)

A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences. - Kaicheng Yang 005; Ruxuan Zhang; Hua Xu 003; Kai Gao (CoRR, 2022)

An adaptive batch Bayesian optimization approach for expensive multi-objective problems. - Hongyan Wang; Hua Xu 003; Yuan Yuan 004; Zeqiu Zhang (Inf. Sci., 2022)

High-dimensional expensive multi-objective optimization via additive structure. - Hongyan Wang; Hua Xu 003; Yuan Yuan 004 (Intell. Syst. Appl., 2022)

Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract). - Huigen Ye; Hongyan Wang; Hua Xu 003; Chengming Wang; Yu Jiang (AAAI, 2023)

GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming. - Huigen Ye; Hua Xu 003; Hongyan Wang; Chengming Wang; Yu Jiang (ICML, 2023)

USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery. - Hanlei Zhang; Hua Xu 003; Xin Wang; Fei Long; Kai Gao (CoRR, 2023)

Learning Discriminative Representations and Decision Boundaries for Open Intent Detection. - Hanlei Zhang; Hua Xu 003; Shaojie Zhao; Qianrui Zhou (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Intent Recognition for Human-Machine Interactions - Hua Xu 003; Hanlei Zhang; Ting-En Lin (Springer, 2023)

Trustworthy machine reading comprehension with conditional adversarial calibration. - Zhijing Wu 002; Hua Xu 003 (Appl. Intell., 2023)

Robustness-Eva-MRC: Assessing and analyzing the robustness of neural models in extractive machine reading comprehension. - Jingliang Fang; Hua Xu 003; Zhijing Wu 002; Kai Gao; Xiaoyin Che; Haotian Hui (Intell. Syst. Appl., 2023)

A two-stage segmentation of sublingual veins based on compact fully convolutional networks for Traditional Chinese Medicine images. - Hua Xu 003; Xiaofei Chen; Peng Qian; Fufeng Li (Health Inf. Sci. Syst., 2023)

Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition. - Qianrui Zhou; Hua Xu 003; Hao Li; Hanlei Zhang; Xiaohan Zhang; Yifan Wang; Kai Gao (AAAI, 2024)

Learning to Generate Scalable MILP Instances. - Tianxing Yang; Huigen Ye; Hua Xu 003 (GECCO Companion, 2024)

Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset. - Huigen Ye; Hua Xu 003; Hongyan Wang (ICLR, 2024)

MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations. - Hanlei Zhang; Xin Wang; Hua Xu 003; Qianrui Zhou; Kai Gao; Jianhua Su; Jinyue Zhao; Wenrui Li; Yanting Chen (ICLR, 2024)

NeuralQP: A General Hypergraph-based Optimization Framework for Large-scale QCQPs. - Zhixiao Xiong; Fangyu Zong; Huigen Ye; Hua Xu 003 (CoRR, 2024)

Multimodal Classification and Out-of-distribution Detection for Multimodal Intent Understanding. - Hanlei Zhang; Qianrui Zhou; Hua Xu 003; Jianhua Su; Roberto Evans; Kai Gao (CoRR, 2024)

Multimodal Consistency-Based Teacher for Semi-Supervised Multimodal Sentiment Analysis. - Ziqi Yuan; Jingliang Fang; Hua Xu 003; Kai Gao (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Noise Imitation Based Adversarial Training for Robust Multimodal Sentiment Analysis. - Ziqi Yuan; Yihe Liu; Hua Xu 003; Kai Gao (IEEE Trans. Multim., 2024)

Meta Noise Adaption Framework for Multimodal Sentiment Analysis With Feature Noise. - Ziqi Yuan; Baozheng Zhang; Hua Xu 003; Kai Gao (IEEE Trans. Multim., 2024)

Crossmodal Translation Based Meta Weight Adaption for Robust Image-Text Sentiment Analysis. - Baozheng Zhang; Ziqi Yuan; Hua Xu 003; Kai Gao (IEEE Trans. Multim., 2024)

High-Dimensional Multi-Objective Bayesian Optimization With Block Coordinate Updates: Case Studies in Intelligent Transportation System. - Hongyan Wang; Hua Xu 003; Zeqiu Zhang (IEEE Trans. Intell. Transp. Syst., 2024)

A Clustering Framework for Unsupervised and Semi-Supervised New Intent Discovery. - Hanlei Zhang; Hua Xu 003; Xin Wang; Fei Long; Kai Gao (IEEE Trans. Knowl. Data Eng., 2024)

MILPBench: A Large-scale Benchmark Test Suite for Mixed Integer Linear Programming Problems. - Huigen Ye; Yaoyang Cheng; Hua Xu 003; Zhiguang Cao; Hanzhang Qin (GECCO, 2025)

Learning how to transfer: A lifelong domain knowledge distillation framework for continual MRC. - Songze Li; Zhijing Wu 002; Runmin Cao; Xiaohan Zhang; Yifan Wang; Hua Xu 003; Kai Gao (Intell. Syst. Appl., 2025)

Code Retrieval for MILP Instance Generation. - Tianxing Yang; Huigen Ye; Hua Xu 003 (CoRR, 2025)