Ph.D, Professor, IDAM Group School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing 210094, P.R. China Email: jiaxy@njust.edu.cn [Home] [Professional Services] [Students] [Google Scholar]

Publication

[Books] [Conference Papers] [Journal Articles]

(* indicates my master student, # indicates my phd student.)

Books

• 刘盾, 贾修一, 李华雄, 闵帆, 于洪. 三支决策与大数据分析. 科学出版社, 2020.

• 贾修一, 商琳, 周献中, 梁吉业, 苗夺谦, 王国胤, 李天瑞, 张燕平. 三支决策理论与应用. 南京大学出版社, 2012.

Conference Papers

• Yunan Lu#, Weiwei Li, Dun Liu, Huaxiong Li, Xiuyi Jia. Adaptive-grained label distribution learning. AAAI 2025.

• Yunan Lu#, Xiuyi Jia. Predicting label distribution from ternary labels. NeurIPS 2024.

• Chao Zhang, Deng Xu, Xiuyi Jia, Chunlin Chen, Huaxiong Li. Continual multi-view clustering with consistent anchor guidance. IJCAI 2024.

• Zhuoran Zheng#, Chen Wu, Yeying Jin, Xiuyi Jia. Trusted re-weighting for label distribution learning. UAI 2024.

• Chen Wu, Zhuoran Zheng#, Pengwen Dai, Chenggang Shan, Xiuyi Jia. Rethinking image deraining via text-guided detail reconstruction. ICME 2024.

• Yan Li, Zhuoran Zheng#, Wenqi Ren, Yunfeng Nie, Jingang Zhang, Xiuyi Jia. Frequency aware and graph fusion network for polyp segmentation. ICASSP 2024.

• Liang He*, Yunan Lu#, Weiwei Li, Xiuyi Jia. Generative calibration of inaccurate annotation for label distribution learning. AAAI 2024.

• Chao Zhang, Xiuyi Jia, Zechao Li, Chunlin Chen, Huaxiong Li. Learning cluster-wise anchors for multi-view clustering. AAAI 2024.

• Di Wang*, Zhuoran Zheng#, Xiuyi Jia. Dual-domain network for restoring images from under-display cameras. CICAI (Best Poster Award) 2023.

• Zhuoran Zheng#, Xiuyi Jia. Image restoration via UAVFormer for under-display camera of UAV. IROS 2023.

• Yunan Lu#, Weiwei Li, Xiuyi Jia. Label enhancement via joint implicit representation clustering. IJCAI 2023.

• Yunan Lu#, Liang He*, Fan Min, Weiwei Li, Xiuyi Jia. Generative label enhancement with Gaussian mixture and partial ranking. AAAI 2023.

• Yiwen Wei*, Zhuoran Zheng#, Xiuyi Jia. UHD underwater image enhancement via frequency-spatial domain aware network. ACCV 2022.

• Yunan Lu#, Xiuyi Jia. Predicting label distribution from multi-label ranking. NeurIPS 2022.

• Haoyu Zhu*, Xiuyi Jia, Changdong Zhang, Tingting Liu. ToothCR: A two-stage completion and reconstruction approach on 3D dental model. PAKDD 2022.

• Zigang Li*, Tingting Liu, Jun Wang, Changdong Zhang, Xiuyi Jia. Multi-scale bidirectional enhancement network for 3D dental model segmentation. ISBI 2022.

• Qifa Teng*, Xiuyi Jia. Incomplete label distribution learning by exploiting global sample correlation. MULL@ACM MM 2021.

• Zhuoran Zheng#, Wenqi Ren, Xiaochun Cao, Tao Wang, Xiuyi Jia. UHD image HDR reconstruction via collaborative bilateral learning. ICCV 2021.

• Zhuoran Zheng#, Wenqi Ren, Xiaochun Cao, Xiaobin Hu, Tao Wang, Fenglong Song, Xiuyi Jia. Ultra-high-definition image dehazing via multi-guided bilateral learning. CVPR 2021.

• Wenfang Zhu*, Xiuyi Jia, Weiwei Li. Privileged label enhancement with multi-label learning. IJCAI 2020.

• Fangwen Zhang*, Xiuyi Jia, Weiwei Li. Tensor-based multi-view label enhancement for multi-label learning. IJCAI 2020.

• Wenfang Zhu*, Weiwei Li, Xiuyi Jia. Multi-label learning with local similarity of samples. IJCNN 2020.

• Tingting Ren*, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li. Label distribution learning with label-specific features. IJCAI 2019.

• Tingting Ren*, Xiuyi Jia, Weiwei Li, Shu Zhao. Label distribution learning with label correlations via low-rank approximation. IJCAI 2019.

• Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li. Facial emotion distribution learning by exploiting low-rank label correlations locally. CVPR 2019.

• Wenzhou Zhang*, Weiwei Li, Xiuyi Jia. Effort-aware tri-training for semi-supervised just-in-time defect prediction. PAKDD 2019.

• Tongjun Li, Weizhi Wu, Xiuyi Jia. Rough approximations on two universes under a mapping. IJCRS 2019.

• Hong Chen, Huaxiong Li, Bing Huang, Xiuyi Jia, Xianzhong Zhou. Incremental sequential three-way decision using a deep stacked autoencoder. IJCRS 2019.

• Xiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang. Label distribution learning by exploiting label correlations. AAAI 2018.

• Xiang Zheng*, Xiuyi Jia, Weiwei Li. Label distribution learning by exploiting sample correlations locally. AAAI 2018.

• Jiubing Liu, Xianzhong Zhou, Huaxiong Li, Bing Huang, Libo Zhang, Xiuyi Jia. An optimization view on intuitionistic fuzzy three-way decisions. IJCRS 2018.

• Xiuyi Jia, Han Zhang, Ehsan Adeli, Dinggang Shen. Consciousness level and recovery outcome prediction using high-order brain functional connectivity network. CNI@MICCAI 2017.

• Li Shi*, Changdong Zhang, Tingting Liu, Wenhe Liao, Xiuyi Jia. Adaptive density optimization of lattice structures sustaining the external multi-load. ICIG 2017.

• Lu Wang*, Weiwei Li, Xiuyi Jia, Bing Zhou. A multi-objective attribute reduction method in decision-theoretic rough set model. KSEM 2017.

• Xiuyi Jia, Huaxiong Li, Lin Shang. Minimum cost attribute reduction in three-way decisions based bayesian network. ICMLC 2016.

• Guojian Deng*, Xiuyi Jia. A decision-theoretic rough set approach to multi-class cost-sensitive classification. IJCRS 2016.

• Junxin Tan, Mengting Xu, Lin Shang, Xiuyi Jia. Sentiment analysis for images on microblogging by integrating textual information with multiple kernel learning. PRICAI 2016.

• Mengting Xu, Min Guo, Lin Shang, Xiuyi Jia. Multi-value image segmentation based on FCM algorithm and graph cut theory. IEEE-FUZZ 2016.

• Yimeng Zhang#, Xiuyi Jia, Zhenmin Tang. Minimum cost attribtue reduction in incomplete system under decision-theoretic rough set model. ICNC-FSKD 2016.

• Yannan Gu*, Xiuyi Jia, Lin Shang. Three-way decisioins based bayesian network. PIC 2015.

• Weibin Zhao, Menting Xu, Xiuyi Jia, Lin Shang. A classification method for imbalanced data based on SMOTE and fuzzy rough nearest neighbor algorithm. RSFDGrC 2015.

• Xiuyi Jia, Lin Shang. How to evaluate three-way decisions based binary classification? RSFDGrC 2015.

• Hong Yu, Guoyin Wang, Baoqing Hu, Xiuyi Jia, Huaxiong Li, Tianrui Li, et al. Methods and practices of three-way decisions for complex problem solving. RSKT 2015.

• Yaowen Zhang, Lin Shang, Xiuyi Jia. Sentiment analysis on microblogging by integrating text and image features. PAKDD 2015.

• Youli Liu, Lei Pan, Xiuyi Jia, Chongjun Wang, Junyuan Xie. Three-way decision based overlaping community detection. RSKT 2013.

• Weiwei Li, Zhiqiu Huang, Xiuyi Jia. Two-phase classification based on three-way decisions. RSKT 2013.

• Xiuyi Jia, Kan Zheng, Weiwei Li, Tingting Liu, Lin Shang. Three-way decisions solution to filter spam email: an empirical study. RSCTC 2012.

• Xiuyi Jia, Weiwei Li, Lin Shang, Jiajun Chen. An optimization viewpoint on decision theoretic rough set model. RSKT 2011.

• Aibao Luo, Xiuyi Jia, Lin Shang, Yang Gao, Yubin Yang. Granular-based partial periodic pattern discovery over time series data. RSKT 2011.

• Xiuyi Jia, Yabing Zhang, Jiajun Chen, Lin Shang. Rough set approach to coreference resolution. CNCCL 2011.

Journal Articles

• Haitao Wu#, Weiwei Li, Xiuyi Jia. Domain adaption for label distribution learning. IEEE Transactions on Big Data. In Press.

• Wentao Fan, Chao Zhang, Huaxiong Li, Xiuyi Jia, Guoyin Wang. Three-stage semi-supervised cross-modal hashing with pairwise relations exploitation. IEEE Transactions on Neural Networks and Learning Systems. In Press.

• Weiwei Li, Feiyuan Cao*, Yiwen Wei*, Zhenghao Shi, Xiuyi Jia. Ultra-high-definition underwater image enhancement via dual-domain interactive transformer network. International Journal of Machine Learning and Cybernetics. In Press.

• Wei Lv, Chao Zhang, Huaxiong Li, Xiuyi Jia, Chunlin Chen. Joint projection learning and tensor decomposition based incomplete multi-view clustering. IEEE Transactions on Neural Networks and Learning Systems. 2024.

• Chao Zhang, Huaxiong Li, Caihua Chen, Xiuyi Jia, Chunlin Chen. Low-rank tensor regularized views recovery for incomplete multiview clustering. IEEE Transactions on Neural Networks and Learning Systems. 2024.

• Peiqiu Yu#, Xiuyi Jia. Exploiting indirect linear correlation for label distribution learning. Neurocomputing. 2024.

• Xiuyi Jia, Qiaowanni Lin, Weiping Ding. An ultra-high-definition multi-exposure image fusion method based on multi-scale feature extraction. Applied Soft Computing. 2024.

• Zhuoran Zheng, Chen Wu, Yeying Jin, Xiuyi Jia. Polyp-DAM: Polyp segmentation via depth anything model. IEEE Signal Processing Letters. 2024.

• Xiuyi Jia, Tian Qin*, Yunan Lu#, Weiwei Li. Adaptive weighted ranking-oriented label distribution learning. IEEE Transactions on Neural Networks and Learning Systems. 2024.

• Wewei Li, Wei Qian, Lei Chen, Xiuyi Jia. Sample diversity selection strategy based on label distribution morphology for active label distribution learning. Pattern Recognition. 2024.

• Yunliang Zhuang, Zhuoran Zheng#, Yuang Zhang, Lei Lyu, Xiuyi Jia, Chen Lyu. Dimensional transformation mixer for ultra-high-definition industrial camera dehazing. IEEE Transactions on Industrial Informatics. 2024.

• Boxue Xiao, Zhuoran Zheng#, Yunliang Zhuang, Chen Lyu, Xiuyi Jia. Single UHD image dehazing via interpretable pyramid networkg. Signal Processing. 2024.

• Di Wang*, Zhuoran Zheng#, Weiping Ding, Xiuyi Jia. LGABL: UHD multi-exposure image fusion via local and global aware bilateral learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 2023.

• Yunan Lu#, Weiwei Li, Huaxiong Li, Xiuyi Jia. Predicting label distribution from tie-allowed multi-label ranking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023.

• Kaiyi Luo, Chao Zhang, Huaxiong Li, Xiuyi Jia, Chunlin Chen. Adaptive marginalized semantic hashing for unpaired cross-modal retrieval. IEEE Transactions on Multimedia. 2023.

• Yunan Lu#, Weiwei Li, Huaxiong Li, Xiuyi Jia. Ranking-preserved generative label enhancement. Machine Learning. 2023.

• Xinze Shen, Changdong Zhang, Xiuyi Jia, Dawei Li, Tingting Liu, Sukun Tian, Wei wei, Yuchun Sun, Wenhe Liao. TranSDFNet: Transformer-based truncated signed distance fields for the degign of RPD clasps. IEEE Journal of Biomedical and Health Informatics. 2023.

• Xiuyi Jia, Xiaoxia Shen*, Weiwei Li, Yunan Lu#, Jihua Zhu. Label distribution learning by maintaining label ranking relation. IEEE Transactions on Knowledge and Data Engineering. 2023.

• Xiuyi Jia, Yunan Lu#, Fangwen Zhang*. Label enhancement by maintaining positive and negative label relation. IEEE Transactions on Knowledge and Data Engineering. 2023.

• Huaxiong Li, Chao Zhang, Xiuyi Jia, et al. Adaptive label correlation based asymmetric discrete hashing for corss-modal retrieval. IEEE Transactions on Knowledge and Data Engineering. 2023.

• 李伟湋, 陈翔, 张恒伟*, 黄志球, 贾修一. 一种基于同步语义对齐的异构缺陷预测方法. 软件学报. 2023.

• Xiuyi Jia, Xiaoxia Shen*. Multimodal emotion distribution learning. Cognitive Computation. 2022.

• Qiaowanni Lin*, Zhuoran Zheng#, Xiuyi Jia. UHD low-light image enhancement via interpretable bilateral learning. Information Sciences. 2022.

• Zhenhua Li, Shuo Zhang, Xinye Cai, Qingfu Zhang, Xiaomin Zhu, Zhun Fan, Xiuyi Jia. Noisy optimization by evaluation strategies with online population size learning. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2022.

• Tao Wen*, Weiwei Li, Lei Chen, Xiuyi Jia. Semi-supervised label enhancement via structured semantic extraction. International Journal of Machine Learning and Cybernetics. 2022.

• Zhihan Peng, Hong Yu, Xiuyi Jia. Path-based reasoning with K-nearest neighbor and position embedding for knowledge graph completion. Journal of Intelligent Information Systems. 2022.

• Jun Wang, Fengyexin Zhang, Xiuyi Jia, Xin Wang, Han Zhang, Shihui Ying, Qian Wang, Jun Shi, Dinggang Shen. Multi-class ASD classification via label distribution learning with class-shared and class-specific decomposition. Medical Image Analysis. 2022.

• Xiuyi Jia, Tao Wen*, Weiping Ding, Huaxiong Li, Weiwei Li. Semi-supervised label distribution learning via projection graph embedding. Information Sciences. 2021.

• Xiuyi Jia, Zechao Li, Xiang Zheng, Weiwei Li, Sheng-Jun Huang. Label distribution learning with label correlations on local samples. IEEE Transactions on Knowledge and Data Engineering. 2021.

• Xiuyi Jia, Yao Rao*, Weiwei Li, et al. An automatic three-way clustering method based on sample similarity. International Journal of Machine Learning and Cybernetics. 2021.

• Xinyuan Liu, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Xiuyi Jia, Lei Chen. Unified framework for learning with label distribution. Information Fusion. 2021.

• Yimeng Zhang#, Xiuyi Jia, Zhenmin Tang. Information-theoretic measures of uncertainty for interval-set decision tables. Information Sciences. 2021.

• 贾修一, 张文舟*, 李伟湋，黄志球. 基于变分自编码器的异构缺陷预测特征表示方法. 软件学报. 2021.

• 朱赛赛*, 贾修一, 李泽超. 一种基于全局和局部标记相关性的多标记分类算法. 电子学报. 2020.

• Sichun Yang, Yunan Lu, Xiuyi Jia, Weiwei Li. Constructing three-way concept lattice based on the composite of classical lattices. International Journal of Approximate Reasoning. 2020.

• Di Dai, Huaxiong Li, Xiuyi Jia, Xianzhong Zhou, Bing Huang, Sunning Liang. A co-training approach for sequential three-way decisions. International Journal of Machine Learning and Cybernetics. 2020.

• Qinghai Zheng, Jihua Zhu, Zhiqiang Tian, Zhongyu Li, Shanmin Pang, Xiuyi Jia. Constrained bilinear factorization multi-view subspace clustering. Knowledge-Based Systems. 2020.

• Xiuyi Jia, Ya Rao, Lin Shang, Tongjun Li. Similarity-based attribute reduction in rough set theory: A clustering perspective. International Journal of Machine Learning and Cybernetics. 2020.

• Xiuyi Jia, Saisai Zhu, Weiwei Li. Joint label-specific features and correlation information for multi-label learning. Journal of Computer Science and Technology. 2020.

• Min Wang, Ke Fu, Fan Min, Xiuyi Jia. Active learning through label error statistical methods. Knowledge-Based Systems. 2020.

• Xiuyi Jia, Tingting Ren, Lei Chen, Jun Wang, Jihua Zhu. Weakly supervised label distribution learning based on transductive matrix completion with sample correlations. Pattern Recognition Letters. 2019.

• Xiuyi Jia, Zhao Deng, Fan Min, Dun Liu. Three-way decisions based feature fusion for Chinese irony detection. International Journal of Approximate Reasoning. 2019.

• Yimeng Zhang#, Xiuyi Jia, Zhenmin Tang, Xianzhong Long. Uncertainty measures for interval set information tables based on interval δ-similarity relation. Information Sciences. 2019.

• Xiuyi Jia, Weiwei Li, Lin Shang. A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model. Information Sciences, 2019.

• Weiwei Li, Xiuyi Jia, Lu Wang, Bing Zhou. Multi-objective attribute reduction in three-way decision-theoretic rough set model. International Journal of Approximate Reasoning, 2019.

• 刘军煜*, 贾修一. 一种利用关联规则挖掘的多标记分类算法. 软件学报. 2017.

• Xiuyi Jia, Lin Shang, Bing Zhou, Yiyu Yao. Generalized attribute reduct in rough set theory. Knowledge-Based Systems, 2016.

• Xiuyi Jia, Zhenmin Tang, Wenhe Liao, Lin Shang. On an optimization representation of decision-theoretic rough set models, International Journal of Approximate Reasoning, 2014.

• Xiuyi Jia, Lin Shang. Three-way decisions versus two-way decisions on filtering spam email. LNCS Transactions on Rough Sets XVIII, 2014.

• Xiuyi Jia, Wenhe Liao, Zhenmin Tang, Lin Shang. Minimum cost attribute reduction in decision-theoretic rough set models. Information Sciences, 2013.

• Liang Gao, Lin Shang, Yang Gao, Yubin Yang, Xiuyi Jia. Video behavior analysis using topic models and rough sets. IEEE Computational Intelligence Magazine, 2013.

• Xiuyi Jia, Lin Shang, Jiajun Chen, Xinyu Dai. Incremental versus non-incremental data and algorithms based on ordering relations. International Journal of Computational Intelligent Systems, 2011.

• 贾修一, 李伟湋, 商琳, 陈家骏. 一种自适应求三枝决策中决策阈值的算法. 电子学报, 2011.