Publications

Yuanmin Tang, Jing Yu, Keke Gai, Jiamin Zhuang, Gang Xiong, Yue Hu (2023). Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval. AAAI, 2024.

Zhiqi Lei, Keke Gai, Jing Yu, Liehuang Zhu, Kim-Kwang Raymond Raymond Choo (2023). Efficiency-Enhanced Blockchain-Based Client Selection in Heterogeneous Federated Learning. Blockchain, 2023.

Shuo Wang, Keke Gai, Jing Yu, Liehuang Zhu (2023). BDVFL: Blockchain-based Decentralized Vertical Federated Learning. ICDM, 2022 (CCF-B).

Jiamin Zhuang, Jing Yu, Yang Ding, Xiangyan Qu, Yue Hu (2023). Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment. IEEE Transactions on Multimedia (TMM), (Impact factor: 6.513).

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Yang Ding, Jing Yu, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu. (2022). MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. CVPR, 2022 (CCF-A).

Yongxiu Xu, Chuan Zhou, Heyan Huang, Jing Yu, Yue Hu (2022). WLinker: Modeling Relational Triplet Extraction as Word Linking. ICASSP, 2022 (CCF-B).

Xinjie Lin, Gang Xiong, Gaopeng Gou, Junzheng Shi, Jing Yu (2022). ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification. WWW, 2022 (CCF-A).

Wei Peng, Yue Hu, Jing Yu, Luxi Xing, Yuqiang Xie (2021). APER: AdaPtive Evidence-driven Reasoning Network for machine reading comprehension with unanswerable questions. Knowledge-Based Systems (KBS), 2021 (Impact factor:5.921).

Yujing Wang, Yaming Yang, Jianggang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Gao Huang (2021). Evolving Attention with Residual Convolutions. ICML, 2021 (CCF-A).

Jing Yu, Yuan Chai, Yujing Wang, Yue Hu, Qi Wu. (2021). CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation. IJCAI, 2021 (CCF-A).

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Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong (2021). Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees. EACL, 2021 (CCF-C).

Weifeng Zhang, Jing Yu, Wenhong Zhao (2021). DMRFNet: Deep Multimodal Reasoning and Fusion for Visual Question Answering and explanation generation. Information Fusion, 2021 (Impact factor:12.975).

Yajing Sun, Yong Shan, Chengguang Tang, Yue Hu, Yinpeng Dai, Jing Yu, Jian Sun (2021). Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder. AAAI, 2021 (CCF-A).

Wei Peng, Yue Hu, Jing Yu, Luxi Xing, Yuqiang Xie (2021). MCR-NET: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension. ICASSP, 2021 (CCF-B).

Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Jing Yu, Yajing Sun (2020). Bi-directional Cognitive Thinking Network for Machine Reading Comprehension. COLING, 2020 (CCF-B).

Jing Yu, Xiaoze Jiang, Zengchang Qin, Yue Hu, Qi Wu. (2020). Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue. IEEE Transactions on Image Processing (TIP), 2020 (Impact factor:10.856).

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Jing Yu, Yuhang Lu, Weifeng Zhang, Zengchang Qin, Yanbing Liu, Yue Hu (2020). Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention. Pattern Recognition Letters (PRL), 2020 (Impact factor:3.756).

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Jing Yu, Zihao Zhu, Yujing Wang, Weifeng Zhang, Yue Hu, Jianlong Tan (2020). Cross-modal knowledge reasoning for knowledge-based visual question answering. Pattern Recognition (PR), 2020 (Impact factor:7.740).

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Jing Yu, Weifeng Zhang, Zhuoqian Yanng, Zengchang Qin, Yue Hu (2020). Cross-modal learning with prior visual relation knowledge. Knowledge-based Systems (KBS), 2020 (Impact factor:5.921).

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Xiaoze Jiang, Siyi Du, Zengchang Qin, Yajing Sun, Jing Yu (2020). KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue. ACM MM, 2020 (CCF-A).

Zihao Zhu, Jing Yu, Yujing Wang, Yajing Sun, Yue Hu, Qi Wu. (2020). Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering. IJCAI, 2020 (CCF-A).

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Xiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, Qi Wu. (2020). DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue. IJCAI, 2020 (CCF-A).

Weifeng Zhang, Jing Yu, Hua Hu, Haiyang Hu (2020). Multimodal feature fusion by relational reasoning and attention for visual question answering. Information Fusion, 2020 (Impact factor:12.975).

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Jing Yu, Weifeng Zhang, Yuhang Lu, Zengchang Qin, Yue Hu, Jianlong Tan, Qi Wu. (2020). Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-modal Retrieval. IEEE Transactions on Multimedia (TMM), 2020 (Impact factor:6.513).

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Zhuoqian Yang, Zengchang Qin, Jing Yu, Yue Hu (2020). Prior Visual Relationship for Visual Question Answering. ICIP, 2020 (CCF-C).

Yajing Sun, Yue Hu, Jing Yu, Yuqiang Xie (2020). History-adaption knowledge incorporation mechanism for multi-turn dialogue system. AAAI, 2020 (CCF-A).

Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Qi Wu. (2020). DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue. AAAI, 2020 (CCF-A).

Luxi Xing, Yue Hu, Jing Yu, Yuqiang Xie, Wei Peng (2020). Coarse-to-Careful: Seeking Semantic-Related Knowledge for Open-Domain Commonsense Question Answering. ICASSP, 2020 (CCF-B).

Jing Yu, Chenghao Yang, Zengchang Qin, Zhuoqian Yang, Yue Hu, Zhiguo Shi (2019). Semantic Modeling of Textual Relationships in Cross-Modal Retrieval. KSEM, 2019 (CCF-C).

Yiming Xu, Jing Yu, Jingjing Guo, Yue Hu, Jianlong Tan (2019). Fine-Grained Label Learning via Siamese Network for Cross-modal Information Retrieval. International Conference on Computational Science.

Jingjing Guo, Jing Yu, Yuhang Lu, Yue Hu, Yanbing Liu (2019). 2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learning. International Conference on Computational Science, 2019.

Jing Yu, Yuhang Lu, Zengchang Qin, Weifeng Zhang, Yanbing Liu, Jianlong Tan, Li Guo (2018). Modeling text with graph convolutional network for cross-modal information retrieval. PCM, 2018 (CCF-C).

Yuhang Lu, Jing Yu, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang (2018). Fine-grained correlation learning with stacked co-attention networks for cross-modal information retrieval. KSEM, 2018 (CCF-C).

Zengchang Qin, Jing Yu, Yonghui Cong, Tao Wan (2016). Topic correlation model for cross-modal multimedia information retrieval. Pattern Analysis and Applications (PAA), 2016 (Impact factor:2.580).

Meizi Zhou, Jing Yu, Yanbing Liu, Qiong Dai, Li Guo (2016). PatternTreeISO: A Pattern Graph Correlation Framework for Accelerating Subgraph Isomorphism over Massive Graphs. CIKM, 2016 (CCF-B).

Yu Zhang, Yanbing Liu, Jing Yu, Ping Liu, Li Guo (2015). Vsep: A distributed algorithm for graph edge partitioning. International Conference on Algorithms and Architectures for Parallel Processing, 2015 (CCF-C).

Jing Yu, Zengchang Qin, Tao Wan, Xi Zhang (2013). Feature integration analysis of bag-of-features model for image retrieval. Neurocomputing, 2013 (Impact factor:5.719).

Jing Yu, Yonghui Cong, Zengchang Qin, Tao Wan (2012). Cross-modal topic correlations for multimedia retrieval. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) (CCF-C).

Yonghui Cong, Zengchang Qin, Jing Yu, Tao Wan (2012). Cross-Modal Information Retrieval--A Case Study on Chinese Wikipedia. International Conference on Advanced Data Mining and Applications (CCF-C).

Xiaoli Yuan, Jing Yu, Zengchang Qin, Tao Wan (2011). A SIFT-LBP image retrieval model based on bag of features. IEEE international conference on image processing (CCF-C).