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ORCIDHua Xu 0003
徐华
Person information
- unicode name: 徐华
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Hua Xu — disambiguation page
- Hua Xu 0001
![[0000-0002-5274-4672]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5274-4672")
— University of Texas Health Science Center at Houston, School of Biomedical Informatics, TX, USA (and 1 more) - Hua Xu 0002 — The University of Tsukuba, Graduate School of Business Sciences, Japan (and 1 more)
- Hua Xu 0004 (aka: Hua Xue 0001) — Nanjing University of Aeronautics and Astronautics, Center for More Electric Aircraft Power System (CMEAPS), China
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Books and Theses
- 2023
[b1]Hua Xu, Hanlei Zhang, Ting-En Lin:
Intent Recognition for Human-Machine Interactions. Springer Briefs in Computer Science, Springer 2023, ISBN 978-981-99-3884-1, pp. 3-150
Journal Articles
- 2024
- [j30]Ziqi Yuan, Jingliang Fang, Hua Xu, Kai Gao:
Multimodal Consistency-Based Teacher for Semi-Supervised Multimodal Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3669-3683 (2024) - [j29]Hongyan Wang, Hua Xu, Zeqiu Zhang:
High-Dimensional Multi-Objective Bayesian Optimization With Block Coordinate Updates: Case Studies in Intelligent Transportation System. IEEE Trans. Intell. Transp. Syst. 25(1): 884-895 (2024) - [j28]Ziqi Yuan, Yihe Liu, Hua Xu, Kai Gao:
Noise Imitation Based Adversarial Training for Robust Multimodal Sentiment Analysis. IEEE Trans. Multim. 26: 529-539 (2024) - [j27]Ziqi Yuan, Baozheng Zhang, Hua Xu, Kai Gao:
Meta Noise Adaption Framework for Multimodal Sentiment Analysis With Feature Noise. IEEE Trans. Multim. 26: 7265-7277 (2024) - 2023
- [j26]Zhijing Wu, Hua Xu:
Trustworthy machine reading comprehension with conditional adversarial calibration. Appl. Intell. 53(11): 14298-14315 (2023) - [j25]Hua Xu, Xiaofei Chen, Peng Qian, Fufeng Li:
A two-stage segmentation of sublingual veins based on compact fully convolutional networks for Traditional Chinese Medicine images. Health Inf. Sci. Syst. 11(1): 19 (2023) - [j24]Jingliang Fang, Hua Xu, Zhijing Wu, Kai Gao, Xiaoyin Che, Haotian Hui:
Robustness-Eva-MRC: Assessing and analyzing the robustness of neural models in extractive machine reading comprehension. Intell. Syst. Appl. 20: 200287 (2023) - [j23]Hanlei Zhang, Hua Xu, Shaojie Zhao, Qianrui Zhou:
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1611-1623 (2023) - 2022
- [j22]Hongyan Wang, Hua Xu, Yuan Yuan, Zeqiu Zhang:
An adaptive batch Bayesian optimization approach for expensive multi-objective problems. Inf. Sci. 611: 446-463 (2022) - [j21]Hongyan Wang, Hua Xu, Yuan Yuan:
High-dimensional expensive multi-objective optimization via additive structure. Intell. Syst. Appl. 14: 200062 (2022) - 2020
- [j20]Yuxiang Xie, Hua Xu, Jiaoe Li, Congcong Yang, Kai Gao:
Heterogeneous graph neural networks for noisy few-shot relation classification. Knowl. Based Syst. 194: 105548 (2020) - [j19]Zhijing Wu, Hua Xu:
Improving the robustness of machine reading comprehension model with hierarchical knowledge and auxiliary unanswerability prediction. Knowl. Based Syst. 203: 106075 (2020) - 2019
- [j18]Longxia Zhu, Hua Xu, Yunfeng Xu, Yi Xiao, Jia Li, Junhui Deng, Xiaomin Sun, Xiaoli Bai:
A joint model of extended LDA and IBTM over streaming Chinese short texts. Intell. Data Anal. 23(3): 681-699 (2019) - [j17]Ting-En Lin, Hua Xu:
A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier. Knowl. Based Syst. 186 (2019) - 2018
- [j16]Yuan Yuan, Yew-Soon Ong, Abhishek Gupta, Hua Xu:
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis. IEEE Trans. Evol. Comput. 22(2): 189-210 (2018) - 2017
- [j15]Fan Zhang, Hua Xu, Xiaoli Bai:
On the need of hierarchical emotion classification: Detecting the implicit feature using constrained topic model. Intell. Data Anal. 21(6): 1393-1406 (2017) - [j14]Xingwei He, Hua Xu, Jia Li, Liu He, Linlin Yu:
FastBTM: Reducing the sampling time for biterm topic model. Knowl. Based Syst. 132: 11-20 (2017) - 2016
- [j13]Wenhao Zhang, Jianqiu Ji, Jun Zhu, Jianmin Li, Hua Xu, Bo Zhang:
BitHash: An efficient bitwise Locality Sensitive Hashing method with applications. Knowl. Based Syst. 97: 40-47 (2016) - [j12]Jia Li, Hua Xu:
Suggest what to tag: Recommending more precise hashtags based on users' dynamic interests and streaming tweet content. Knowl. Based Syst. 106: 196-205 (2016) - [j11]Yuan Yuan, Hua Xu, Bo Wang, Xin Yao:
A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 20(1): 16-37 (2016) - [j10]Yuan Yuan, Hua Xu, Bo Wang, Bo Zhang, Xin Yao:
Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers. IEEE Trans. Evol. Comput. 20(2): 180-198 (2016) - 2015
- [j9]Kai Gao, Hua Xu, Jiushuo Wang:
A rule-based approach to emotion cause detection for Chinese micro-blogs. Expert Syst. Appl. 42(9): 4517-4528 (2015) - [j8]Hua Xu, Fan Zhang, Wei Wang:
Implicit feature identification in Chinese reviews using explicit topic mining model. Knowl. Based Syst. 76: 166-175 (2015) - [j7]Yuan Yuan, Hua Xu:
Multiobjective Flexible Job Shop Scheduling Using Memetic Algorithms. IEEE Trans Autom. Sci. Eng. 12(1): 336-353 (2015) - 2013
- [j6]Yuan Yuan, Hua Xu, Jiadong Yang:
A hybrid harmony search algorithm for the flexible job shop scheduling problem. Appl. Soft Comput. 13(7): 3259-3272 (2013) - [j5]Yuan Yuan, Hua Xu:
Flexible job shop scheduling using hybrid differential evolution algorithms. Comput. Ind. Eng. 65(2): 246-260 (2013) - [j4]Yuan Yuan, Hua Xu:
An integrated search heuristic for large-scale flexible job shop scheduling problems. Comput. Oper. Res. 40(12): 2864-2877 (2013) - 2012
- [j3]Wenhao Zhang, Hua Xu, Wei Wan:
Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis. Expert Syst. Appl. 39(11): 10283-10291 (2012) - 2011
- [j2]Wei Wan, Hua Xu, Wenhao Zhang, Xincheng Hu, Gang Deng:
Questionnaires-based skin attribute prediction using Elman neural network. Neurocomputing 74(17): 2834-2841 (2011) - 2009
- [j1]Yunpeng Cai, Hua Xu, Xiaomin Sun, Peifa Jia, ZeHua Liu:
Duple-EDA and sample density balancing. Sci. China Ser. F Inf. Sci. 52(9): 1640-1650 (2009)
Conference and Workshop Papers
- 2024
- [c42]Qianrui Zhou, Hua Xu, Hao Li, Hanlei Zhang, Xiaohan Zhang, Yifan Wang, Kai Gao:
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition. AAAI 2024: 17114-17122 - [c41]Tianxing Yang, Huigen Ye, Hua Xu:
Learning to Generate Scalable MILP Instances. GECCO Companion 2024: 159-162 - [c40]Hanlei Zhang, Xin Wang, Hua Xu, Qianrui Zhou, Kai Gao, Jianhua Su, Jinyue Zhao, Wenrui Li, Yanting Chen:
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations. ICLR 2024 - 2022
- [c39]Huisheng Mao, Baozheng Zhang, Hua Xu, Kai Gao:
An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion. AAAI 2022: 13200-13202 - [c38]Huisheng Mao, Ziqi Yuan, Hua Xu, Wenmeng Yu, Yihe Liu, Kai Gao:
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis. ACL (demo) 2022: 204-213 - [c37]Kang Zhao, Hua Xu, Jiangong Yang, Kai Gao:
Consistent Representation Learning for Continual Relation Extraction. ACL (Findings) 2022: 3402-3411 - [c36]Zhijing Wu, Jingliang Fang, Hua Xu, Kai Gao:
An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models. CIKM 2022: 5044-5048 - [c35]Yihe Liu, Ziqi Yuan, Huisheng Mao, Zhiyun Liang, Wanqiuyue Yang, Yuanzhe Qiu, Tie Cheng, Xiaoteng Li, Hua Xu, Kai Gao:
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module. ICMI 2022: 247-258 - [c34]Hanlei Zhang, Hua Xu, Xin Wang, Qianrui Zhou, Shaojie Zhao, Jiayan Teng:
MIntRec: A New Dataset for Multimodal Intent Recognition. ACM Multimedia 2022: 1688-1697 - [c33]Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao:
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation. NAACL-HLT (Findings) 2022: 2330-2339 - 2021
- [c32]Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lyu:
Discovering New Intents with Deep Aligned Clustering. AAAI 2021: 14365-14373 - [c31]Hanlei Zhang, Hua Xu, Ting-En Lin:
Deep Open Intent Classification with Adaptive Decision Boundary. AAAI 2021: 14374-14382 - 2020
- [c30]Ting-En Lin, Hua Xu, Hanlei Zhang:
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement. AAAI 2020: 8360-8367 - [c29]Ting-En Lin, Hua Xu, Hanlei Zhang:
Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract). AAAI 2020: 13863-13864 - [c28]Xili Wang, Hua Xu, Xiaomin Sun, Guangcan Tao:
Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract). AAAI 2020: 13951-13952 - [c27]Zhijing Wu, Hua Xu:
A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract). AAAI 2020: 13963-13964 - [c26]Yuxiang Xie, Hua Xu, Congcong Yang, Kai Gao:
Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract). AAAI 2020: 13967-13968 - [c25]Kaicheng Yang, Hua Xu, Kai Gao:
CM-BERT: Cross-Modal BERT for Text-Audio Sentiment Analysis. ACM Multimedia 2020: 521-528 - 2019
- [c24]Ting-En Lin, Hua Xu:
Deep Unknown Intent Detection with Margin Loss. ACL (1) 2019: 5491-5496 - [c23]Hongyan Wang, Hua Xu, Yuan Yuan, Xiaomin Sun, Junhui Deng:
Balancing exploration and exploitation in multiobjective batch bayesian optimization. GECCO (Companion) 2019: 237-238 - [c22]Hongyan Wang, Hua Xu, Yuan Yuan, Junhui Deng, Xiaomin Sun:
Noisy multiobjective black-box optimization using bayesian optimization. GECCO (Companion) 2019: 239-240 - 2018
- [c21]Kai Gao, Hua Xu, Chengliang Gao, Xiaomin Sun, Junhui Deng, Xiaoming Zhang:
Two-Stage Attention Network for Aspect-Level Sentiment Classification. ICONIP (4) 2018: 316-325 - [c20]Kai Gao, Hua Xu, Chengliang Gao, Hanyong Hao, Junhui Deng, Xiaomin Sun:
Attention-Based BiLSTM Network with Lexical Feature for Emotion Classification. IJCNN 2018: 1-2 - [c19]Yunfeng Xu, Hua Xu, Longxia Zhu, Hanyong Hao, Junhui Deng, Xiaomin Sun, Xiaoli Bai:
Topic Discovery for Streaming Short Texts with CTM. IJCNN 2018: 1-7 - 2017
- [c18]Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Xiaoli Bai, Jia Li:
Optimize collapsed Gibbs sampling for biterm topic model by alias method. IJCNN 2017: 1155-1162 - [c17]Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Jia Li:
ABiRCNN with neural tensor network for answer selection. IJCNN 2017: 2582-2589 - 2016
- [c16]Jia Li, Hua Xu, Junhui Deng, Xiaomin Sun:
Hyperbolic linear units for deep convolutional neural networks. IJCNN 2016: 353-359 - [c15]Jia Li, Hua Xu, Xingwei He, Junhui Deng, Xiaomin Sun:
Tweet modeling with LSTM recurrent neural networks for hashtag recommendation. IJCNN 2016: 1570-1577 - [c14]Fan Zhang, Hua Xu, Jiushuo Wang, Xiaomin Sun, Junhui Deng:
Grasp the implicit features: Hierarchical emotion classification based on topic model and SVM. IJCNN 2016: 3592-3599 - [c13]Jia Li, Hua Xu:
User-IBTM: An Online Framework for Hashtag Suggestion in Twitter. WAIM (2) 2016: 279-290 - 2015
- [c12]Wenhao Zhang, Jianqiu Ji, Jun Zhu, Hua Xu, Bo Zhang:
Large Scale Sentiment Analysis with Locality Sensitive BitHash. AIRS 2015: 29-40 - [c11]Bo Wang, Hua Xu, Yuan Yuan:
Scale adaptive reproduction operator for decomposition based estimation of distribution algorithm. CEC 2015: 2042-2049 - [c10]Yuan Yuan, Hua Xu, Bo Wang:
An Experimental Investigation of Variation Operators in Reference-Point Based Many-Objective Optimization. GECCO 2015: 775-782 - [c9]Kai Gao, Hua Xu, Jiushuo Wang:
Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model. PAKDD (2) 2015: 3-14 - 2014
- [c8]Bo Wang, Hua Xu, Yuan Yuan:
Quantum-inspired evolutionary algorithm with linkage learning. IEEE Congress on Evolutionary Computation 2014: 2467-2474 - [c7]Bo Wang, Hua Xu, Yuan Yuan:
A two-level hierarchical EDA using conjugate priori. GECCO (Companion) 2014: 57-58 - [c6]Yuan Yuan, Hua Xu, Bo Wang:
An improved NSGA-III procedure for evolutionary many-objective optimization. GECCO 2014: 661-668 - [c5]Yuan Yuan, Hua Xu, Bo Wang:
Evolutionary many-objective optimization using ensemble fitness ranking. GECCO 2014: 669-676 - [c4]Kai Gao, Hua Xu, Jiushuo Wang:
Emotion classification based on structured information. MFI 2014: 1-6 - 2013
- [c3]Yuan Yuan, Hua Xu:
A memetic algorithm for the multi-objective flexible job shop scheduling problem. GECCO 2013: 559-566 - 2012
- [c2]Yuan Yuan, Hua Xu:
HHS/LNS: An integrated search method for flexible job shop scheduling. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2007
- [c1]Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia:
Cross entropy and adaptive variance scaling in continuous EDA. GECCO 2007: 609-616
Parts in Books or Collections
- 2016
- [p1]Hua Xu, Fan Zhang, Jiushuo Wang, Weiwei Yang:
Chinese Micro-Blog Emotion Classification by Exploiting Linguistic Features and SVMperf. Sentiment Analysis and Ontology Engineering 2016: 221-236
Informal and Other Publications
- 2024
- [i15]Hanlei Zhang, Xin Wang, Hua Xu, Qianrui Zhou, Kai Gao, Jianhua Su, Jinyue Zhao, Wenrui Li, Yanting Chen:
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations. CoRR abs/2403.10943 (2024) - 2023
- [i14]Hanlei Zhang, Hua Xu, Xin Wang, Fei Long, Kai Gao:
USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery. CoRR abs/2304.07699 (2023) - [i13]Qianrui Zhou, Hua Xu, Hao Li, Hanlei Zhang, Xiaohan Zhang, Yifan Wang, Kai Gao:
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition. CoRR abs/2312.14667 (2023) - 2022
- [i12]Kang Zhao, Hua Xu, Jiangong Yang, Kai Gao:
Consistent Representation Learning for Continual Relation Extraction. CoRR abs/2203.02721 (2022) - [i11]Hanlei Zhang, Hua Xu, Shaojie Zhao, Qianrui Zhou:
Towards Open Intent Detection. CoRR abs/2203.05823 (2022) - [i10]Huisheng Mao, Ziqi Yuan, Hua Xu, Wenmeng Yu, Yihe Liu, Kai Gao:
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis. CoRR abs/2203.12441 (2022) - [i9]Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao:
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation. CoRR abs/2208.05217 (2022) - [i8]Hanlei Zhang, Hua Xu, Xin Wang, Qianrui Zhou, Shaojie Zhao, Jiayan Teng:
MIntRec: A New Dataset for Multimodal Intent Recognition. CoRR abs/2209.04355 (2022) - [i7]Kaicheng Yang, Ruxuan Zhang, Hua Xu, Kai Gao:
A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences. CoRR abs/2212.11772 (2022) - 2021
- [i6]Hanlei Zhang, Xiaoteng Li, Hua Xu, Panpan Zhang, Kang Zhao, Kai Gao:
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition. CoRR abs/2110.15063 (2021) - 2020
- [i5]Ting-En Lin, Hua Xu:
A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier. CoRR abs/2003.03504 (2020) - [i4]Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lv:
Discovering New Intents with Deep Aligned Clustering. CoRR abs/2012.08987 (2020) - [i3]Hanlei Zhang, Hua Xu, Ting-En Lin:
Deep Open Intent Classification with Adaptive Decision Boundary. CoRR abs/2012.10209 (2020) - 2019
- [i2]Ting-En Lin, Hua Xu:
Deep Unknown Intent Detection with Margin Loss. CoRR abs/1906.00434 (2019) - [i1]Ting-En Lin, Hua Xu, Hanlei Zhang:
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement. CoRR abs/1911.08891 (2019)
Coauthor Index
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