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ORCIDQingqiang Wu 0001
Person information
- unicode name: 吴清强
- affiliation: Xiamen University, School of Software, China
Other persons with the same name
- Qingqiang Wu 0002
![[0000-0002-9382-402X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9382-402X")
— Xi'an Jiaotong University, School of Mechanical Engineering, China - Qingqiang Wu 0003 — Xidian University, National Key Laboratory of Antennas and Microwave Technology, Xi'an, China
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2020 – today
- 2024
[j29]ZhongQuan Jian, Jiajian Li, Qingqiang Wu, Junfeng Yao:
Retrieval Contrastive Learning for Aspect-Level Sentiment Classification. Inf. Process. Manag. 61(1): 103539 (2024)- [j28]Qingqi Hong, Lingli Lin, Zihan Li, Qingde Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu, Jie Tian:
A Distance Transformation Deep Forest Framework With Hybrid-Feature Fusion for CXR Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14633-14644 (2024) - [c16]Zhongquan Jian, Ante Wang, Jinsong Su, Junfeng Yao, Meihong Wang, Qingqiang Wu:
EmoTrans: Emotional Transition-based Model for Emotion Recognition in Conversation. LREC/COLING 2024: 5723-5733 - [c15]Yuhan Liao, Fang Liu, Lin Lin, Mingbo Hou, Yingying She, Hang Wu, Bin Hu, Qingqiang Wu:
iCCBT, an Interactive Approach of CBT for Online Psychological Intervention. CSCWD 2024: 2770-2775 - [c14]Weijun Xu, Fan Gao, Jinsong Su, Qingqiang Wu, Meihong Wang:
Dual-view Enhanced Knowledge Contrastive Learning for Recommendation. DASFAA (4) 2024: 528-538 - [c13]Jiahui Chen, Chuanfeng Yang, Kaiheng Li, Qingqiang Wu, Qingqi Hong:
ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model. ICANN (2) 2024: 395-406 - [c12]Zhongquan Jian, Jiajian Li, Junfeng Yao, Meihong Wang, Qingqiang Wu:
Conversation Clique-Based Model for Emotion Recognition In Conversation. ICASSP 2024: 5865-5869 - 2023
- [j27]Wei-Ping Lin, Qi-Chao Ge, Sze-Teng Liong, Jia-Tong Liu, Kunhong Liu, Qingqiang Wu:
The design of error-correcting output codes based deep forest for the micro-expression recognition. Appl. Intell. 53(3): 3488-3504 (2023) - [j26]Lianlian Wu, Xiaona Ye, Yixin Zhang, Jie Gao, Zhikai Lin, Binsheng Sui, Yuqi Wen, Qingqiang Wu, Kunhong Liu, Song He, Xiaochen Bo:
A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction. J. Chem. Inf. Model. 63(12): 3941-3954 (2023) - [j25]Guangyi Lin, Jie Gao, Nan Zeng, Yong Xu, Kunhong Liu, Beizhan Wang, Junfeng Yao, Qingqiang Wu:
A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes. Pattern Recognit. 143: 109813 (2023) - [j24]Mengxin Sun, Li-Yan Chen, Kunhong Liu, Sze-Teng Liong, Qingqiang Wu:
Feature Elimination through Data Complexity for Error-Correcting Output Codes based micro-expression recognition. Signal Process. Image Commun. 115: 116962 (2023) - [j23]Bin Chen, Kunhong Liu, Yong Xu, Qingqiang Wu, Junfeng Yao:
Block Division Convolutional Network With Implicit Deep Features Augmentation for Micro-Expression Recognition. IEEE Trans. Multim. 25: 1345-1358 (2023) - [c11]Wen Sun, Qingqiang Wu, Xiaoli Wang, Junfeng Yao, Zhifeng Bao:
Knowledge Graph Embedding with Relation Rotation and Entity Adjustment by Quaternions. ADMA (4) 2023: 454-469 - [c10]Yifan Li, Yanxiang Zong, Wen Sun, Qingqiang Wu, Qingqi Hong:
A Long-Tail Relation Extraction Model Based on Dependency Path and Relation Graph Embedding. APWeb-WAIM (2) 2023: 408-423 - [c9]Zebin Huang, Ning Yu, Qingqiang Wu, Kunhong Liu:
Cluster Equality Validity Index and Efficient Clustering Optimization Strategy. ICIC (4) 2023: 213-225 - [c8]Wen Sun, Yifan Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu:
Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion. SEKE 2023: 317-322 - 2022
- [j22]KunHong Liu, Zhan WangPing, Yi-Fan Liang, Ya-Nan Zhang, Hong-Zhou Guo, Junfeng Yao, Qingqiang Wu, Qingqi Hong:
The design of error-correcting output codes algorithm for the open-set recognition. Appl. Intell. 52(7): 7843-7869 (2022) - [j21]KunHong Liu, Xiao-Na Ye, Hong-Zhou Guo, Qingqiang Wu, Qingqi Hong:
The design of soft recoding-based strategies for improving error-correcting output codes. Appl. Intell. 52(8): 8856-8873 (2022) - [j20]Mengxin Sun, Sze-Teng Liong, Kun-Hong Liu, Qingqiang Wu:
The heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition. Appl. Intell. 52(14): 16621-16639 (2022) - [j19]Junfeng Yao, Wen Sun, ZhongQuan Jian, Qingqiang Wu, Xiaoli Wang:
Effective knowledge graph embeddings based on multidirectional semantics relations for polypharmacy side effects prediction. Bioinform. 38(8): 2315-2322 (2022) - [j18]Guangyi Lin, Zi-Yang Xiao, Jia-Tong Liu, Beizhan Wang, KunHong Liu, Qingqiang Wu:
Feature space and label space selection based on Error-correcting output codes for partial label learning. Inf. Sci. 589: 341-359 (2022) - [j17]Zhan WangPing, Min Jiang, Junfeng Yao, KunHong Liu, Qingqiang Wu:
The design of evolutionary feature selection operator for the micro-expression recognition. Memetic Comput. 14(1): 61-76 (2022) - 2021
- [j16]Huoyou Li, Jianshiun Hu, Jingwen Yu, Ning Yu, Qingqiang Wu:
UFaceNet: Research on Multi-Task Face Recognition Algorithm Based on CNN. Algorithms 14(9): 268 (2021) - [j15]Qingqi Hong, Lingli Lin, Qingde Li, Ziyou Jiang, Jun Fang, Beizhan Wang, KunHong Liu, Qingqiang Wu, Chenxi Huang:
A direct slicing technique for the 3D printing of implicitly represented medical models. Comput. Biol. Medicine 135: 104534 (2021) - [j14]Jinsong Su, Jinchang Chen, Hui Jiang, Chulun Zhou, Huan Lin, Yubin Ge, Qingqiang Wu, Yongxuan Lai:
Multi-modal neural machine translation with deep semantic interactions. Inf. Sci. 554: 47-60 (2021) - [j13]JiaYu Zou, Mengxin Sun, Kun-Hong Liu, Qingqiang Wu:
The design of dynamic ensemble selection strategy for the error-correcting output codes family. Inf. Sci. 571: 1-23 (2021) - [c7]Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su:
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. ACL/IJCNLP (1) 2021: 5076-5085 - [c6]Fei Xu, Lingli Lin, Dihan Li, Qingqi Hong, KunHong Liu, Qingqiang Wu, Qingde Li, Yinhuan Zheng, Jie Tian:
A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation. BIBM 2021: 1119-1124 - [i1]Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su:
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. CoRR abs/2106.00261 (2021) - 2020
- [c5]Songyuan Wu, Liyao Jiao, Qingqiang Wu:
ACOL-GAN: Learning Clustering Generative Adversarial Networks through Graph-Based Activity Regularization. ICCAI 2020: 37-45 - [c4]Haiying Zhang, Qiaomei Liang, Rongqi Wang, Qingqiang Wu:
Stacked Model with Autoencoder for Financial Time Series Prediction. ICCSE 2020: 222-226
2010 – 2019
- 2019
- [j12]MengXin Sun, KunHong Liu, Qingqiang Wu, Qingqi Hong, Beizhan Wang, Haiying Zhang:
A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis. Pattern Recognit. 90: 346-362 (2019) - [j11]Qingqiang Wu, Yichen Kuang, Qingqi Hong, Yingying She:
Frontier knowledge discovery and visualization in cancer field based on KOS and LDA. Scientometrics 118(3): 979-1010 (2019) - 2017
- [j10]Meihong Wang, Qingqiang Wu:
Research of Advanced GTM and Its Application to Gas-Oil Reservoir Identification. Int. J. Pattern Recognit. Artif. Intell. 31(5): 1750015:1-1750015:18 (2017) - 2016
- [j9]Lvqing Yang, Qingqiang Wu, Youjing Bai, Huiru Zheng, Shufu Lin:
An improved hash-based RFID two-way security authentication protocol and application in remote education. J. Intell. Fuzzy Syst. 31(5): 2713-2720 (2016) - [j8]Qingqi Hong, Yan Li, Qingde Li, Beizhan Wang, Junfeng Yao, Qingqiang Wu, Yingying She:
An implicit skeleton-based method for the geometry reconstruction of vasculatures. Vis. Comput. 32(10): 1251-1262 (2016) - 2015
- [j7]Qingqiang Wu, Haibin Zhang, Jing Lan:
K-State automaton burst detection model based on KOS: Emerging trends in cancer field. J. Inf. Sci. 41(1): 16-26 (2015) - [j6]Yingying She, Xiaoxia Zhang, Qian Wang, Qingqiang Wu:
The potential relationship discovery model based on result fusion for biomedical medicine research. J. Inf. Sci. 41(3): 366-382 (2015) - [c3]Juncong Lin, Huiting Yang, Dazheng Wang, Guilin Li, Xing Gao, Qingqiang Wu, Minghong Liao:
Fast and High Quality Suggestive Contour Generation with L0 Gradient Minimization. ICSI (2) 2015: 484-491 - 2014
- [j5]Qingqiang Wu, CaiDong Zhang, Qingqi Hong, Liyan Chen:
Topic evolution based on LDA and HMM and its application in stem cell research. J. Inf. Sci. 40(5): 611-620 (2014) - [j4]Jinsong Su, Xiaodong Shi, Yanzhou Huang, Yang Liu, Qingqiang Wu, Yidong Chen, Huailin Dong:
Topic-aware pivot language approach for statisticalmachine translation. J. Zhejiang Univ. Sci. C 15(4): 241-253 (2014) - [c2]Qingqiang Wu, Yan Zheng, Yingying She, Xinying An:
Emerging Topic Detection Model Based on LDA and Its Application in Stem Cell Field. CSE 2014: 1939-1944 - 2013
- [j3]Qingqiang Wu, CaiDong Zhang, Xinying An:
Topic segmentation model based on ATNLDA and co-occurrence theory and its application in stem cell field. J. Inf. Sci. 39(3): 319-332 (2013) - 2011
- [j2]Xinying An, Qingqiang Wu:
Co-word analysis of the trends in stem cells field based on subject heading weighting. Scientometrics 88(1): 133-144 (2011) - [c1]Kun-Hong Liu, Qingqiang Wu, Meihong Wang:
The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data. ISNN (3) 2011: 513-522
2000 – 2009
- 2009
- [j1]Kun-Hong Liu, Bo Li, Qingqiang Wu, Jun Zhang, Ji-Xiang Du, Guo-Yan Liu:
Microarray data classification based on ensemble independent component selection. Comput. Biol. Medicine 39(11): 953-960 (2009)
Coauthor Index
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