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2020 – today
- 2024
- [j219]Bin Xue, Qinghua Zheng, Zhinan Li, Chunwang Mu, Jungang Yang, Xue Feng, Hongqi Fan, Xiang Li:
Simultaneous High-Resolution Blind Image Reconstruction and Perturbation Defense. IEEE Access 12: 36173-36182 (2024) - [j218]Hui Huang, Yanping Chen, Chuan Lin, Ruizhang Huang, Qinghua Zheng, Yongbin Qin:
A multi-graph representation for event extraction. Artif. Intell. 332: 104144 (2024) - [j217]Shaowei Wang, Lingling Zhang, Tao Qin, Jun Liu, Yifei Li, Qianying Wang, Qinghua Zheng:
Multi-view cognition with path search for one-shot part labeling. Comput. Vis. Image Underst. 244: 104015 (2024) - [j216]Bin Xue, Qinghua Zheng, Zhinan Li, Jianshan Wang, Chunwang Mu, Jungang Yang, Hongqi Fan, Xue Feng, Xiang Li:
Perturbation defense ultra high-speed weak target recognition. Eng. Appl. Artif. Intell. 138: 109420 (2024) - [j215]Yizhao Wu, Yanping Chen, Yongbin Qin, Ruixue Tang, Qinghua Zheng:
A recollect-tuning method for entity and relation extraction. Expert Syst. Appl. 245: 123000 (2024) - [j214]Xiao Guo, Yanping Chen, Ruixue Tang, Qinghua Zheng:
Camouflaged named entity recognition in 2D sentence representation. Expert Syst. Appl. 257: 125096 (2024) - [j213]Ruina Bai, Ruizhang Huang, Yanping Chen, Yongbin Qin, Yong Xu, Qinghua Zheng:
A hierarchical consensus learning model for deep multi-view document clustering. Inf. Fusion 111: 102507 (2024) - [j212]Ying Hu, Yanping Chen, Ruizhang Huang, Yongbin Qin, Qinghua Zheng:
A hierarchical convolutional model for biomedical relation extraction. Inf. Process. Manag. 61(1): 103560 (2024) - [j211]Tianliang Qi, Yujie Li, Weihua Ji, Kuo-Ming Chao, Yan Chen, Haiping Zhu, Caixia Yan, Jun Liu, Mo Xu, Zhihai Suo, Qinghua Zheng, Feng Tian:
Multiple GRAphs-oriented Random wAlk (MulGRA2) for social link prediction. Inf. Sci. 669: 120563 (2024) - [j210]Yaqiang Wu, Hui Zhu, Chenyang Wang, Fujian Song, Haiping Zhu, Yan Chen, Qinghua Zheng, Feng Tian:
Programming knowledge tracing based on heterogeneous graph representation. Knowl. Based Syst. 300: 112161 (2024) - [j209]Chao Wei, Yanping Chen, Kai Wang, Yongbin Qin, Ruizhang Huang, Qinghua Zheng:
APRE: Annotation-Aware Prompt-Tuning for Relation Extraction. Neural Process. Lett. 56(2): 62 (2024) - [j208]Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng:
Semantics-Guided Contrastive Network for Zero-Shot Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1530-1544 (2024) - [j207]Bin Xue, Qinghua Zheng, Zhinan Li, Jianshan Wang, Chunwang Mu, Jungang Yang, Xue Feng, Hongqi Fan, Xiang Li:
ISAR Weak Feature Enhancement With Perturbation Defense Using Hybrid Clustering Oversegmentation. IEEE Trans. Aerosp. Electron. Syst. 60(5): 6256-6274 (2024) - [j206]Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Caixia Yan, Guang Dai, Xiaojun Chang, Qinghua Zheng:
Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning. IEEE Trans. Image Process. 33: 3520-3535 (2024) - [j205]Haochen Han, Qinghua Zheng, Minnan Luo, Kaiyao Miao, Feng Tian, Yan Chen:
Noise-Tolerant Learning for Audio-Visual Action Recognition. IEEE Trans. Multim. 26: 7761-7774 (2024) - [j204]Jianfei Ruan, Qinghua Zheng, Rui Zhao, Bo Dong:
Biased Complementary-Label Learning Without True Labels. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2616-2627 (2024) - [j203]Jie Ma, Qi Chai, Jun Liu, Qingyu Yin, Pinghui Wang, Qinghua Zheng:
XTQA: Span-Level Explanations for Textbook Question Answering. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16493-16503 (2024) - [j202]Yuanhong Zhang, Weizhan Zhang, Haipeng Du, Caixia Yan, Li Liu, Qinghua Zheng:
FHVAC: Feature-Level Hybrid Video Adaptive Configuration for Machine-Centric Live Streaming. IEEE Trans. Parallel Distributed Syst. 35(5): 780-795 (2024) - [c255]Jiahao Wang, Caixia Yan, Weizhan Zhang, Huan Liu, Hao Sun, Qinghua Zheng:
SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection. AAAI 2024: 5445-5453 - [c254]Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng:
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection. AAAI 2024: 8246-8254 - [c253]Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei:
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. AAAI 2024: 21726-21734 - [c252]Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang:
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. CVPR 2024: 26669-26678 - [c251]Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng:
Masked Distillation Advances Self-Supervised Transformer Architecture Search. ICLR 2024 - [c250]Bin Xue, Qinghua Zheng, Zhinan Li, Weihu Zhao, Heling Wang, Xue Feng:
Lightweight Object Detection-Tracking using Deep Feature Distillation. ICMLC 2024: 287-291 - [c249]Yaqiang Wu, Zhen Xu, Yong Duan, Yanlai Wu, Qinghua Zheng, Hui Li, Xiaochen Hu, Lianwen Jin:
RDLNet: A Novel and Accurate Real-world Document Localization Method. ACM Multimedia 2024: 9847-9855 - [c248]Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo:
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection. WSDM 2024: 57-66 - [i51]Junxian Li, Bin Shi, Erfei Cui, Hua Wei, Qinghua Zheng:
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework. CoRR abs/2403.01079 (2024) - [i50]Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang:
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. CoRR abs/2403.05105 (2024) - 2023
- [j201]Yanping Chen, Rong Huang, Lijun Pan, Ruizhang Huang, Qinghua Zheng, Ping Chen:
A Controlled Attention for Nested Named Entity Recognition. Cogn. Comput. 15(1): 132-145 (2023) - [j200]Yanping Chen, Lefei Wu, Qinghua Zheng, Ruizhang Huang, Jun Liu, Liyuan Deng, Junhui Yu, Yongbin Qing, Bo Dong, Ping Chen:
A Boundary Regression Model for Nested Named Entity Recognition. Cogn. Comput. 15(2): 534-551 (2023) - [j199]Kai Wang, Yanping Chen, Kunjian Wen, Chao Wei, Bo Dong, Qinghua Zheng, Yongbin Qin:
Cue prompt adapting model for relation extraction. Connect. Sci. 35(1) (2023) - [j198]Junhui Yu, Yanping Chen, Qinghua Zheng, Yuefei Wu, Ping Chen:
Full-span named entity recognition with boundary regression. Connect. Sci. 35(1) (2023) - [j197]Bin Shi, Bo Dong, Yiming Xu, Jiaxiang Wang, Yunfan Wang, Qinghua Zheng:
An edge feature aware heterogeneous graph neural network model to support tax evasion detection. Expert Syst. Appl. 213(Part): 118903 (2023) - [j196]Ruixue Tang, Yanping Chen, Yongbin Qin, Ruizhang Huang, Qinghua Zheng:
Boundary regression model for joint entity and relation extraction. Expert Syst. Appl. 229(Part A): 120441 (2023) - [j195]Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding:
New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training. IEEE Intell. Syst. 38(4): 21-31 (2023) - [j194]Yanping Chen, Xinyang Zhong, Yijun Liu, Bo Dong, Qinghua Zheng:
A deep penetration network for sentence classification. Inf. Fusion 95: 174-185 (2023) - [j193]Rushan Geng, Yanping Chen, Ruizhang Huang, Yongbin Qin, Qinghua Zheng:
Planarized sentence representation for nested named entity recognition. Inf. Process. Manag. 60(4): 103352 (2023) - [j192]Yan Chen, Ganglin Wei, Jiaxin Liu, Yunwei Chen, Qinghua Zheng, Feng Tian, Haiping Zhu, Qianying Wang, Yaqiang Wu:
A prediction model of student performance based on self-attention mechanism. Knowl. Inf. Syst. 65(2): 733-758 (2023) - [j191]Qidong Liu, Feng Tian, Qinghua Zheng, Qianying Wang:
Disentangling interest and conformity for eliminating popularity bias in session-based recommendation. Knowl. Inf. Syst. 65(6): 2645-2664 (2023) - [j190]Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang:
Learning Representations by Graphical Mutual Information Estimation and Maximization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 722-737 (2023) - [j189]Zhenfei Luo, Yixiang Dong, Qinghua Zheng, Huan Liu, Minnan Luo:
Dual-channel graph contrastive learning for self-supervised graph-level representation learning. Pattern Recognit. 139: 109448 (2023) - [j188]Yaqiang Wu, Yifei Li, Tianzhe Zhao, Lingling Zhang, Bifan Wei, Jun Liu, Qinghua Zheng:
Improved prototypical network for active few-shot learning. Pattern Recognit. Lett. 172: 188-194 (2023) - [j187]Yuzhe Zhang, Huan Liu, Dalin Zhang, Xuxu Chen, Tao Qin, Qinghua Zheng:
EEG-Based Emotion Recognition With Emotion Localization via Hierarchical Self-Attention. IEEE Trans. Affect. Comput. 14(3): 2458-2469 (2023) - [j186]Huan Liu, Ke Li, Jianping Fan, Caixia Yan, Tao Qin, Qinghua Zheng:
Social Image-Text Sentiment Classification With Cross-Modal Consistency and Knowledge Distillation. IEEE Trans. Affect. Comput. 14(4): 3332-3344 (2023) - [j185]Qinghua Zheng, Yuefei Wu, Guangtao Wang, Yanping Chen, Wei Wu, Zai Zhang, Bin Shi, Bo Dong:
Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2899-2909 (2023) - [j184]Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng:
Aspect-Based Sentiment Analysis With Heterogeneous Graph Neural Network. IEEE Trans. Comput. Soc. Syst. 10(1): 403-412 (2023) - [j183]Zhuohang Dang, Minnan Luo, Chengyou Jia, Caixia Yan, Xiaojun Chang, Qinghua Zheng:
Counterfactual Generation Framework for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3747-3758 (2023) - [j182]Chengyou Jia, Minnan Luo, Caixia Yan, Linchao Zhu, Xiaojun Chang, Qinghua Zheng:
Collaborative Contrastive Refining for Weakly Supervised Person Search. IEEE Trans. Image Process. 32: 4951-4963 (2023) - [j181]Yuda Gao, Bin Shi, Bo Dong, Yiyang Wang, Lingyun Mi, Qinghua Zheng:
Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning. IEEE Trans. Knowl. Data Eng. 35(1): 931-944 (2023) - [j180]Lingling Zhang, Shaowei Wang, Jun Liu, Xiaojun Chang, Qika Lin, Yaqiang Wu, Qinghua Zheng:
MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. IEEE Trans. Knowl. Data Eng. 35(6): 6085-6098 (2023) - [j179]Qinghua Zheng, Zhen Peng, Zhuohang Dang, Linchao Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou:
Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9715-9727 (2023) - [j178]Yaxing Chen, Qinghua Zheng, Zheng Yan:
Efficient Bi-objective SQL Optimization for Enclaved Cloud Databases with Differentially Private Padding. ACM Trans. Database Syst. 48(2): 6:1-6:40 (2023) - [j177]Jianlei Chi, Yu Qu, Ting Liu, Qinghua Zheng, Heng Yin:
SeqTrans: Automatic Vulnerability Fix Via Sequence to Sequence Learning. IEEE Trans. Software Eng. 49(2): 564-585 (2023) - [j176]Xi Xu, Qinghua Zheng, Zheng Yan, Ming Fan, Ang Jia, Zhaohui Zhou, Haijun Wang, Ting Liu:
PatchDiscovery: Patch Presence Test for Identifying Binary Vulnerabilities Based on Key Basic Blocks. IEEE Trans. Software Eng. 49(12): 5279-5294 (2023) - [c247]Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang, Ping Chen:
Generalized Category Discovery with Decoupled Prototypical Network. AAAI 2023: 12527-12535 - [c246]Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo:
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. ACL (1) 2023: 10326-10340 - [c245]Haiping Zhu, Yifei Zhao, Yuchen Wu, Yan Chen, Wenhao Li, Qinghua Zheng, Feng Tian:
Ensemble Learning Based Employment Recommendation Under Interaction Sparsity for College Students. ADMA (2) 2023: 550-564 - [c244]Bin Xue, Qinghua Zheng, Zhinan Li, Weihu Zhao, Weihang Zhang, Xue Feng:
Deep Federated Feature Recommendation. CECNet 2023: 644-649 - [c243]Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei:
Rethinking Sentiment Analysis under Uncertainty. CIKM 2023: 2775-2784 - [c242]Haochen Han, Kaiyao Miao, Qinghua Zheng, Minnan Luo:
Noisy Correspondence Learning with Meta Similarity Correction. CVPR 2023: 7517-7526 - [c241]Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen:
A Diffusion Weighted Graph Framework for New Intent Discovery. EMNLP 2023: 8033-8042 - [c240]Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen:
DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. EMNLP 2023: 12292-12302 - [c239]Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo:
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. EMNLP 2023: 16035-16050 - [c238]Qinghua Zheng, Zhou Su, Qichao Xu:
USV-Aided Data Secure Collection Scheme for Underwater Wireless Acoustic Networks. GLOBECOM 2023: 7157-7162 - [c237]Chengyou Jia, Minnan Luo, Zhuohang Dang, Xiaojun Chang, Qinghua Zheng:
Towards Real-Time Person Search with Invariant Feature Learning. ICASSP 2023: 1-5 - [c236]Tuo Feng, Wenguan Wang, Xiaohan Wang, Yi Yang, Qinghua Zheng:
Clustering based Point Cloud Representation Learning for 3D Analysis. ICCV 2023: 8249-8260 - [c235]Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng:
CLDG: Contrastive Learning on Dynamic Graphs. ICDE 2023: 696-707 - [c234]Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng:
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract). ICDE 2023: 3799-3800 - [c233]Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang, Yuefei Wu, Bo Dong, Qinghua Zheng:
NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method. IJCAI 2023: 5287-5295 - [c232]Yingchun Wang, Jingcai Guo, Jie Zhang, Song Guo, Weizhan Zhang, Qinghua Zheng:
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. IJCNN 2023: 1-8 - [c231]Mengyue Liu, Yun Lin, Jun Liu, Bohao Liu, Qinghua Zheng, Jin Song Dong:
B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning. KDD 2023: 1489-1500 - [c230]Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng:
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective. KDD 2023: 2349-2360 - [c229]Zhihao Zhang, Yiwei Chen, Weizhan Zhang, Caixia Yan, Qinghua Zheng, Qi Wang, Wangdu Chen:
Tile Classification Based Viewport Prediction with Multi-modal Fusion Transformer. ACM Multimedia 2023: 3560-3568 - [c228]Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo:
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. SIGIR 2023: 485-495 - [c227]Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo:
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. WWW 2023: 2548-2559 - [i49]Yin Wang, Ming Fan, Junfeng Liu, Junjie Tao, Wuxia Jin, Qi Xiong, Yuhao Liu, Qinghua Zheng, Ting Liu:
Do as You Say: Consistency Detection of Data Practice in Program Code and Privacy Policy in Mini-App. CoRR abs/2302.13860 (2023) - [i48]Haochen Han, Kaiyao Miao, Qinghua Zheng, Minnan Luo:
Noisy Correspondence Learning with Meta Similarity Correction. CoRR abs/2304.06275 (2023) - [i47]Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo:
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. CoRR abs/2304.06280 (2023) - [i46]Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo:
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. CoRR abs/2304.11411 (2023) - [i45]Yingchun Wang, Jingcai Guo, Yi Liu, Song Guo, Weizhan Zhang, Xiangyong Cao, Qinghua Zheng:
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization. CoRR abs/2305.11615 (2023) - [i44]Sen Ye, Zhaoxuan Tan, Zhenyu Lei, Ruijie He, Hongrui Wang, Qinghua Zheng, Minnan Luo:
HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention. CoRR abs/2306.12870 (2023) - [i43]Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Hongrui Wang, Zifeng Zhu, Qinghua Zheng, Minnan Luo:
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection. CoRR abs/2306.17408 (2023) - [i42]Yuntao Shou, Xiangyong Cao, Deyu Meng, Bo Dong, Qinghua Zheng:
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition. CoRR abs/2306.17799 (2023) - [i41]Tuo Feng, Wenguan Wang, Xiaohan Wang, Yi Yang, Qinghua Zheng:
Clustering based Point Cloud Representation Learning for 3D Analysis. CoRR abs/2307.14605 (2023) - [i40]Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Jingdong Wang, Qinghua Zheng:
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement. CoRR abs/2309.11125 (2023) - [i39]Zhihao Zhang, Yiwei Chen, Weizhan Zhang, Caixia Yan, Qinghua Zheng, Qi Wang, Wangdu Chen:
Tile Classification Based Viewport Prediction with Multi-modal Fusion Transformer. CoRR abs/2309.14704 (2023) - [i38]Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen:
DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. CoRR abs/2310.10151 (2023) - [i37]Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen:
A Diffusion Weighted Graph Framework for New Intent Discovery. CoRR abs/2310.15836 (2023) - [i36]Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Jihong Wang, Xiaojun Chang, Jingdong Wang, Qinghua Zheng:
Disentangled Representation Learning with Transmitted Information Bottleneck. CoRR abs/2311.01686 (2023) - 2022
- [j175]Hanning Zhang, Bo Dong, Qinghua Zheng, Boqin Feng:
Research on fast text recognition method for financial ticket image. Appl. Intell. 52(15): 18156-18166 (2022) - [j174]Di Cui, Lingling Fan, Sen Chen, Yuanfang Cai, Qinghua Zheng, Yang Liu, Ting Liu:
Towards characterizing bug fixes through dependency-level changes in Apache Java open source projects. Sci. China Inf. Sci. 65(7): 1-19 (2022) - [j173]Xiang Zhao, Weixin Zeng, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng:
Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling. Data Sci. Eng. 7(1): 16-29 (2022) - [j172]Yingchun Wang, Jingyi Wang, Weizhan Zhang, Yufeng Zhan, Song Guo, Qinghua Zheng, Xuanyu Wang:
A survey on deploying mobile deep learning applications: A systemic and technical perspective. Digit. Commun. Networks 8(1): 1-17 (2022) - [j171]Zheng Yan, Qinghua Zheng, Yulei Wu, Yaliang Zhao, Mohammed Atiquzzaman:
Guest editorial: Blockchain-enabled technologies for cyber-physical systems and big data applications. Digit. Commun. Networks 8(5): 589-590 (2022) - [j170]Bin Shi, Bo Dong, Qinghua Zheng:
Be United in Actions: Taking Live Snapshots of Heterogeneous Edge-Cloud Collaborative Cluster With Low Overhead. IEEE Internet Things J. 9(10): 7311-7324 (2022) - [j169]Wei Feng, Zheng Yan, Laurence T. Yang, Qinghua Zheng:
Anonymous Authentication on Trust in Blockchain-Based Mobile Crowdsourcing. IEEE Internet Things J. 9(16): 14185-14202 (2022) - [j168]Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng:
A new self-supervised task on graphs: Geodesic distance prediction. Inf. Sci. 607: 1195-1210 (2022) - [j167]Fang Nan, Wei Jing, Feng Tian, Jizhong Zhang, Kuo-Ming Chao, Zhenxin Hong, Qinghua Zheng:
Feature super-resolution based Facial Expression Recognition for multi-scale low-resolution images. Knowl. Based Syst. 236: 107678 (2022) - [j166]Ruixue Tang, Yanping Chen, Yongbin Qin, Ruizhang Huang, Bo Dong, Qinghua Zheng:
Boundary assembling method for joint entity and relation extraction. Knowl. Based Syst. 250: 109129 (2022) - [j165]Hanning Zhang, Bo Dong, Qinghua Zheng, Boqin Feng, Bo Xu, Haiyu Wu:
All-content text recognition method for financial ticket images. Multim. Tools Appl. 81(20): 28327-28346 (2022) - [j164]Caixia Yan, Xiaojun Chang, Zhihui Li, Weili Guan, Zongyuan Ge, Lei Zhu, Qinghua Zheng:
ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9733-9740 (2022) - [j163]Lingling Zhang, Shaowei Wang, Xiaojun Chang, Jun Liu, Zongyuan Ge, Qinghua Zheng:
Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1213-1223 (2022) - [j162]Jie Ma, Qi Chai, Jingyue Huang, Jun Liu, Yang You, Qinghua Zheng:
Weakly Supervised Learning for Textbook Question Answering. IEEE Trans. Image Process. 31: 7378-7388 (2022) - [j161]Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng:
LookCom: Learning Optimal Network for Community Detection. IEEE Trans. Knowl. Data Eng. 34(2): 764-775 (2022) - [j160]Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng:
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks. IEEE Trans. Knowl. Data Eng. 34(6): 2539-2552 (2022) - [j159]