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ORCIDJing Yu 0007
Person information
- affiliation: Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Cyber Security. Beijing, China
Other persons with the same name
- Jing Yu — disambiguation page
- Jing Yu 0001
![[0000-0002-3285-6490]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3285-6490")
— Northwestern Polytechnical University, School of Marine Science and technology, Xi'an, China - Jing Yu 0002 — Washington State University, Department of Horticulture, Pullman, WA, USA
- Jing Yu 0003 — Tsinghua-Berkeley Shenzhen Institute, Shenzhen Environmental Science and New Energy Technology Engineering Laboratory, China
- Jing Yu 0004 — Beijing Jiaotong University, School of Electronic Information and Engineering, China
- Jing Yu 0005 — Traffic Management Research Institute of the Ministry of Public Security, Wuxi, China (and 2 more)
- Jing Yu 0006 — University of Oxford, John Radcliffe Hospital, UK
- Jing Yu 0008 — China University of Mining and Technology, School of Information and Electrical Engineering, IoT Perception Mine Research Center, Xuzhou, China
- Jing Yu 0009 — Jiangsu Industrial Cluster Decision-making and Consulting Research Base, Nanjing, China (and 1 more)
- Jing Yu 0010 — California Institute of Technology, Department of Computing and Mathematical Sciences, Pasadena, CA, USA
- Jing Yu 0011 — National University of Defense Technology, College of Systems Engineering, Changsha, China
- Jing Yu 0012 — Wonkwang University, College of Business Administration, Iksan, South Korea (and 1 more)
- Jing Yu 0013 — The 28th Research Institute of China Electronics Technology Group Corporation, Information System Important Laboratory, Nanjing, China
- Jing Yu 0014 — University of Manchester, UK (and 1 more)
- Jing Yu 0015 — Google Inc., Maountain View, CA, USA (and 1 more)
- Jing Yu 0016 — Beijing University of Technology, College of Computer Science and Technology, Beijing, China
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2020 – today
- 2024
[j18]Xinjie Lin, Longtao He, Gaopeng Gou, Jing Yu, Zhong Guan, Xiang Li, Juncheng Guo, Gang Xiong:
CETP: A novel semi-supervised framework based on contrastive pre-training for imbalanced encrypted traffic classification. Comput. Secur. 143: 103892 (2024)- [j17]Yihang Wei, Keke Gai, Jing Yu, Liehuang Zhu, Kim-Kwang Raymond Choo:
Trustworthy Access Control for Multiaccess Edge Computing in Blockchain-Assisted 6G Systems. IEEE Trans. Ind. Informatics 20(5): 7732-7743 (2024) - [j16]Yitian Tao, Liyan Ma, Jing Yu, Han Zhang:
Memory-Based Cross-Modal Semantic Alignment Network for Radiology Report Generation. IEEE J. Biomed. Health Informatics 28(7): 4145-4156 (2024) - [j15]Jiamin Zhuang, Jing Yu, Yang Ding, Xiangyan Qu, Yue Hu:
Towards Fast and Accurate Image-Text Retrieval With Self-Supervised Fine-Grained Alignment. IEEE Trans. Multim. 26: 1361-1372 (2024) - [c41]Yuanmin Tang, Jing Yu, Keke Gai, Jiamin Zhuang, Gang Xiong, Yue Hu, Qi Wu:
Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval. AAAI 2024: 5180-5188 - [c40]Zhengkang Fang, Jing Yu, Shufen Fang, Shuo Wang, Weilin Chan, Zexin Gao, Keke Gai:
A Trustworthy Biological Assets Governance System Using Decentralized Identity. CSCloud 2024: 36-41 - [c39]Yaming Yang, Defu Cao, Ming Zeng, Jing Yu, Xiang Ren, Yunhai Tong, Yujing Wang:
Collaborative Multi-Task Representation for Natural Language Understanding. IJCNN 2024: 1-8 - [c38]Yili Li, Jing Yu, Keke Gai, Gang Xiong:
IIU: Independent Inference Units for Knowledge-Based Visual Question Answering. KSEM (4) 2024: 109-120 - [c37]Hao Dong, Haochen Liang, Jing Yu, Keke Gai:
DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation. KSEM (2) 2024: 117-129 - [c36]Zhengkang Fang, Keke Gai, Jing Yu, Yihang Wei, Zhentao Wei, Weilin Chan:
KEEN: Knowledge Graph-Enabled Governance System for Biological Assets. KSEM (3) 2024: 248-260 - [c35]Mengjie Guo, Keke Gai, Jing Yu:
Adversarial Examples for Preventing Diffusion Models from Malicious Image Edition. KSEM (3) 2024: 373-385 - [c34]Shuo Wang, Jing Yu, Keke Gai, Liehuang Zhu:
ReVFed: Representation-Based Privacy-Preserving Vertical Federated Learning with Heterogeneous Models. KSEM (3) 2024: 386-397 - [c33]Haochen Liang, Yunwei Guo, Jing Yu, Hao Dong, Keke Gai:
KDTSS: A Blockchain-Based Scheme for Knowledge Data Traceability and Secure Sharing. KSEM (4) 2024: 412-423 - [c32]Shufen Fang, Keke Gai, Jing Yu:
A Joint Client-Server Watermarking Framework for Federated Learning. KSEM (4) 2024: 424-436 - [i28]Tianxiu Xie, Keke Gai, Jing Yu, Liehuang Zhu:
Binary Linear Tree Commitment-based Ownership Protection for Distributed Machine Learning. CoRR abs/2401.05895 (2024) - [i27]Liangqi Lei, Keke Gai, Jing Yu, Liehuang Zhu:
DiffuseTrace: A Transparent and Flexible Watermarking Scheme for Latent Diffusion Model. CoRR abs/2405.02696 (2024) - [i26]Tianxiu Xie, Keke Gai, Jing Yu, Liehuang Zhu, Kim-Kwang Raymond Choo:
A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model. CoRR abs/2405.04108 (2024) - [i25]Xiangyan Qu, Jing Yu, Keke Gai, Jiamin Zhuang, Yuanmin Tang, Gang Xiong, Gaopeng Gou, Qi Wu:
Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot Learning. CoRR abs/2407.15613 (2024) - [i24]Yili Li, Jing Yu, Keke Gai, Gang Xiong:
IIU: Independent Inference Units for Knowledge-based Visual Question Answering. CoRR abs/2408.07989 (2024) - [i23]Yili Li, Jing Yu, Keke Gai, Bang Liu, Gang Xiong, Qi Wu:
T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval. CoRR abs/2408.11432 (2024) - 2023
- [j14]Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Convolution-Enhanced Evolving Attention Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8176-8192 (2023) - [c31]Zhiqi Lei, Keke Gai, Jing Yu, Shuo Wang, Liehuang Zhu, Kim-Kwang Raymond Choo:
Efficiency-enhanced Blockchain-based Client Selection in Heterogeneous Federated Learning. Blockchain 2023: 289-296 - [c30]Shuo Wang, Keke Gai, Jing Yu, Liehuang Zhu:
BDVFL: Blockchain-based Decentralized Vertical Federated Learning. ICDM 2023: 628-637 - [i22]Jiamin Zhuang, Jing Yu, Yang Ding, Xiangyan Qu, Yue Hu:
Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment. CoRR abs/2308.14009 (2023) - [i21]Yuanmin Tang, Jing Yu, Keke Gai, Jiamin Zhuang, Gang Xiong, Yue Hu, Qi Wu:
Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval. CoRR abs/2309.16137 (2023) - [i20]Yuanmin Tang, Jing Yu, Keke Gai, Yujing Wang, Yue Hu, Gang Xiong, Qi Wu:
Align before Search: Aligning Ads Image to Text for Accurate Cross-Modal Sponsored Search. CoRR abs/2309.16141 (2023) - [i19]Shuo Wang, Keke Gai, Jing Yu, Liehuang Zhu:
VFedMH: Vertical Federated Learning for Training Multi-party Heterogeneous Models. CoRR abs/2310.13367 (2023) - [i18]Yuanmin Tang, Jing Yu, Keke Gai, Xiangyan Qu, Yue Hu, Gang Xiong, Qi Wu:
Watermarking Vision-Language Pre-trained Models for Multi-modal Embedding as a Service. CoRR abs/2311.05863 (2023) - 2022
- [c29]Yang Ding, Jing Yu, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu:
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. CVPR 2022: 5079-5088 - [c28]Yongxiu Xu, Chuan Zhou, Heyan Huang, Jing Yu, Yue Hu:
Wlinker: Modeling Relational Triplet Extraction As Word Linking. ICASSP 2022: 6357-6361 - [c27]Jing Yu, Shuguang Yuan, Yulin Yuan, Yafan Li, Chi Chen:
A k-Anonymity-Based Robust Watermarking Scheme for Relational Database. SciSec 2022: 557-573 - [c26]Shuguang Yuan, Chi Chen, Ke Yang, Tengfei Yang, Jing Yu:
An Attribute-attack-proof Watermarking Technique for Relational Database. TrustCom 2022: 1136-1143 - [c25]Xinjie Lin, Gang Xiong, Gaopeng Gou, Zhen Li, Junzheng Shi, Jing Yu:
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification. WWW 2022: 633-642 - [i17]Xinjie Lin, Gang Xiong, Gaopeng Gou, Zhen Li, Junzheng Shi, Jing Yu:
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification. CoRR abs/2202.06335 (2022) - [i16]Yang Ding, Jing Yu, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu:
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. CoRR abs/2203.09138 (2022) - [i15]Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Convolution-enhanced Evolving Attention Networks. CoRR abs/2212.08330 (2022) - 2021
- [j13]Weifeng Zhang, Jing Yu, Wenhong Zhao, Chuan Ran:
DMRFNet: Deep Multimodal Reasoning and Fusion for Visual Question Answering and explanation generation. Inf. Fusion 72: 70-79 (2021) - [j12]Weifeng Zhang, Jing Yu, Yuxia Wang, Wei Wang:
Multimodal deep fusion for image question answering. Knowl. Based Syst. 212: 106639 (2021) - [j11]Wei Peng, Yue Hu, Jing Yu, Luxi Xing, Yuqiang Xie:
APER: AdaPtive Evidence-driven Reasoning Network for machine reading comprehension with unanswerable questions. Knowl. Based Syst. 229: 107364 (2021) - [j10]Jing Yu, Xiaoze Jiang, Zengchang Qin, Weifeng Zhang, Yue Hu, Qi Wu:
Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue. IEEE Trans. Image Process. 30: 220-233 (2021) - [c24]Yajing Sun, Yong Shan, Chengguang Tang, Yue Hu, Yinpei Dai, Jing Yu, Jian Sun, Fei Huang, Luo Si:
Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder. AAAI 2021: 13869-13877 - [c23]Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong:
Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees. EACL 2021: 3011-3020 - [c22]Luxi Xing, Yue Hu, Jing Yu, Yuqiang Xie, Wei Peng:
Coarse-To-Careful: Seeking Semantic-Related Knowledge for Open-Domain Commonsense Question Answering. ICASSP 2021: 7798-7802 - [c21]Wei Peng, Yue Hu, Jing Yu, Luxi Xing, Yuqiang Xie, Zihao Zhu, Yajing Sun:
MCR-NET: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension. ICASSP 2021: 7818-7822 - [c20]Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Evolving Attention with Residual Convolutions. ICML 2021: 10971-10980 - [c19]Jing Yu, Yuan Chai, Yujing Wang, Yue Hu, Qi Wu:
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation. IJCAI 2021: 1274-1280 - [c18]Chengshang Hou, Junzheng Shi, Mingxin Cui, Mengyan Liu, Jing Yu:
Universal Website Fingerprinting Defense Based on Adversarial Examples. TrustCom 2021: 99-106 - [i14]Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Evolving Attention with Residual Convolutions. CoRR abs/2102.12895 (2021) - [i13]Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong:
Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees. CoRR abs/2103.04350 (2021) - [i12]Wei Peng, Yue Hu, Jing Yu, Luxi Xing, Yuqiang Xie, Zihao Zhu, Yajing Sun:
MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension. CoRR abs/2103.04567 (2021) - [i11]Luxi Xing, Yue Hu, Jing Yu, Yuqiang Xie, Wei Peng:
Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering. CoRR abs/2107.01592 (2021) - 2020
- [j9]Weifeng Zhang, Jing Yu, Hua Hu, Haiyang Hu, Zengchang Qin:
Multimodal feature fusion by relational reasoning and attention for visual question answering. Inf. Fusion 55: 116-126 (2020) - [j8]Jing Yu, Weifeng Zhang, Zhuoqian Yang, Zengchang Qin, Yue Hu:
Cross-modal learning with prior visual relation knowledge. Knowl. Based Syst. 203: 106150 (2020) - [j7]Weifeng Zhang, Hua Hu, Haiyang Hu, Jing Yu:
Automatic image annotation via category labels. Multim. Tools Appl. 79(17-18): 11421-11435 (2020) - [j6]Jing Yu, Zihao Zhu, Yujing Wang, Weifeng Zhang, Yue Hu, Jianlong Tan:
Cross-modal knowledge reasoning for knowledge-based visual question answering. Pattern Recognit. 108: 107563 (2020) - [j5]Jing Yu, Yuhang Lu, Weifeng Zhang, Zengchang Qin, Yanbing Liu, Yue Hu:
Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention. Pattern Recognit. Lett. 130: 189-198 (2020) - [j4]Jing Yu, Weifeng Zhang, Yuhang Lu, Zengchang Qin, Yue Hu, Jianlong Tan, Qi Wu:
Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-Modal Retrieval. IEEE Trans. Multim. 22(12): 3196-3209 (2020) - [c17]Yajing Sun, Yue Hu, Luxi Xing, Jing Yu, Yuqiang Xie:
History-Adaption Knowledge Incorporation Mechanism for Multi-Turn Dialogue System. AAAI 2020: 8944-8951 - [c16]Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Yue Hu, Qi Wu:
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue. AAAI 2020: 11125-11132 - [c15]Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Jing Yu, Yajing Sun, Xiangpeng Wei:
Bi-directional CognitiveThinking Network for Machine Reading Comprehension. COLING 2020: 2613-2623 - [c14]Shuguang Yuan, Jing Yu, Peisong Shen, Chi Chen:
Verify a Valid Message in Single Tuple: A Watermarking Technique for Relational Database. DASFAA (1) 2020: 54-71 - [c13]Zhuoqian Yang, Zengchang Qin, Jing Yu, Tao Wan:
Prior Visual Relationship Reasoning For Visual Question Answering. ICIP 2020: 1411-1415 - [c12]Xiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, Qi Wu:
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue. IJCAI 2020: 687-693 - [c11]Zihao Zhu, Jing Yu, Yujing Wang, Yajing Sun, Yue Hu, Qi Wu:
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering. IJCAI 2020: 1097-1103 - [c10]Xiaoze Jiang, Siyi Du, Zengchang Qin, Yajing Sun, Jing Yu:
KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue. ACM Multimedia 2020: 1265-1273 - [i10]Zihao Zhu, Jing Yu, Yujing Wang, Yajing Sun, Yue Hu, Qi Wu:
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering. CoRR abs/2006.09073 (2020) - [i9]Xiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, Qi Wu:
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue. CoRR abs/2007.03310 (2020) - [i8]Xiaoze Jiang, Siyi Du, Zengchang Qin, Yajing Sun, Jing Yu:
KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue. CoRR abs/2008.04858 (2020) - [i7]Jing Yu, Zihao Zhu, Yujing Wang, Weifeng Zhang, Yue Hu, Jianlong Tan:
Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering. CoRR abs/2009.00145 (2020) - [i6]Jing Yu, Yuan Chai, Yue Hu, Qi Wu:
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation. CoRR abs/2009.07526 (2020) - [i5]Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Jing Yu, Yajing Sun, Xiangpeng Wei:
Bi-directional Cognitive Thinking Network for Machine Reading Comprehension. CoRR abs/2010.10286 (2020)
2010 – 2019
- 2019
- [c9]Jingjing Guo, Jing Yu, Yuhang Lu, Yue Hu, Yanbing Liu:
2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learning. ICCS (2) 2019: 131-144 - [c8]Yiming Xu, Jing Yu, Jingjing Guo, Yue Hu, Jianlong Tan:
Fine-Grained Label Learning via Siamese Network for Cross-modal Information Retrieval. ICCS (2) 2019: 304-317 - [c7]Jing Yu, Chenghao Yang, Zengchang Qin, Zhuoqian Yang, Yue Hu, Zhiguo Shi:
Semantic Modeling of Textual Relationships in Cross-modal Retrieval. KSEM (1) 2019: 24-32 - [i4]Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Yue Hu, Qi Wu:
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue. CoRR abs/1911.07251 (2019) - 2018
- [c6]Yuhang Lu, Jing Yu, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang:
Fine-Grained Correlation Learning with Stacked Co-attention Networks for Cross-Modal Information Retrieval. KSEM (1) 2018: 213-225 - [c5]Jing Yu, Yuhang Lu, Zengchang Qin, Weifeng Zhang, Yanbing Liu, Jianlong Tan, Li Guo:
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval. PCM (1) 2018: 223-234 - [i3]Jing Yu, Yuhang Lu, Zengchang Qin, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang:
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval. CoRR abs/1802.00985 (2018) - [i2]Jing Yu, Chenghao Yang, Zengchang Qin, Zhuoqian Yang, Yue Hu, Yanbing Liu:
Textual Relationship Modeling for Cross-Modal Information Retrieval. CoRR abs/1810.13151 (2018) - [i1]Zhuoqian Yang, Jing Yu, Chenghao Yang, Zengchang Qin, Yue Hu:
Multi-modal Learning with Prior Visual Relation Reasoning. CoRR abs/1812.09681 (2018) - 2017
- [c4]Jing Yu, Xiaomei Liu, Yanbing Liu, Yue Hu:
Multiple Pattern Graph Correlations for Efficient Graph Pattern Matching. AICCSA 2017: 469-474 - 2016
- [j3]Zengchang Qin, Jing Yu, Yonghui Cong, Tao Wan:
Topic correlation model for cross-modal multimedia information retrieval. Pattern Anal. Appl. 19(4): 1007-1022 (2016) - 2015
- [j2]Chi Chen, Xiaojie Zhu, Peisong Shen, Jing Yu, Hong Zou, Jiankun Hu:
SOLS: A scheme for outsourced location based service. J. Netw. Comput. Appl. 56: 158-165 (2015) - [c3]Yu Zhang, Yanbing Liu, Jing Yu, Ping Liu, Li Guo:
VSEP: A Distributed Algorithm for Graph Edge Partitioning. ICA3PP (Workshops and Symposiums) 2015: 71-84 - 2013
- [j1]Jing Yu, Zengchang Qin, Tao Wan, Xi Zhang:
Feature integration analysis of bag-of-features model for image retrieval. Neurocomputing 120: 355-364 (2013) - 2012
- [c2]Yonghui Cong, Zengchang Qin, Jing Yu, Tao Wan:
Cross-Modal Information Retrieval - A Case Study on Chinese Wikipedia. ADMA 2012: 15-26 - [c1]Jing Yu, Yonghui Cong, Zengchang Qin, Tao Wan:
Cross-modal topic correlations for multimedia retrieval. ICPR 2012: 246-249
Coauthor Index
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