一、专著

Lizhen Wang, Yuan Fang, Lihua Zhou. Preference-based Spatial Co-location Pattern Mining. Springer, 2022, ISBN 978-981-16-7565-2, pp. 1-284.

武浩, 岳昆. 基于机器学习的Web服务质量预测. 北京: 科学出版社, 2023, ISBN 9787030748188.

赵春娜, 蒋慕蓉. 分数阶系统高阶逻辑形式化验证. 北京: 科学出版社, 2023, ISBN: 9787030622068.

二、论文

2024年：

[1] Yixin Song, Lihua Zhou, Peizhong Yang, Jialong Wang, Lizhen Wang. CS-DAHIN: Community Search Over Dynamic Attribute Heterogeneous Network. IEEE Transactions on Knowledge and Data Engineering, 2024, DOI: 10.1109/TKDE.2024.3402258.

[2] Lixing Yu, Tianxi Ji. Efficient Federated Learning With Channel Status Awareness and Devices' Personal Touch. IEEE Transactions on Mobile Computing, 2024, DOI: 10.1109/TMC.2024.3403754.

[3] Jixian Zhang, Zhemin Wang, Hao Wu, Weidong Li. Ordered Submodularity-Based Value Maximization of UAV Data Collection in Earthquake Areas. IEEE Transactions on Network Science and Engineering, 2024, DOI: 10.1109/TNSE.2024.3400288.

[4] Xinran Wu, Kun Yue, Liang Duan, Xiaodong Fu. Learning a Bayesian network with multiple latent variables for implicit relation representation. Data Mining and Knowledge Discovery, 2024, DOI: 10.1007/s10618-024-01012-3.

[5] Peizhong Yang, Lizhen Wang, Lihua Zhou, Hongmei Chen. A fast spatial high utility co-location pattern mining approach based on branch-and-depth-extension. Information Sciences, 2024, 666: 120407.

[6] Weihua Zheng, Wenwen Min, Shunfang Wang. TsImpute: an accurate two-step imputation method for single-cell RNA-seq data. Bioinformatics, 2023, 39 (12), https://doi.org/10.1093/bioinformatics/btad731.

[7] Li Yu, Wenwen Min, Shunfang Wang. Boundary-aware Gradient Operator Network for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics, 2024, DOI 10.1109/JBHI.2024.3404273.

[8] Che Zhao, Shunfang Wang. AttCON: With better MSAs and attention mechanism for accurate protein contact map prediction. Computers in Biology and Medicine, 2024, 169: 107822.

[9] Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue, Angsheng Li. Structural Entropy Based Graph Structure Learning for Node Classification. Proc. 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024, pp.8372-8379.

[10] Jiangming Liu. Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing. Proc. the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC/COLING), 2024, 11486-11497.

[11] Jiangming Liu. Soft Well-Formed Semantic Parsing with Score-Based Selection. Proc. the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC/COLING), 2024, 15037-15043.

[12] Yi Guo, Qilin Zhou, Xiu Chen, Heming Sun. High-Efficiency FPGA-Based Approximate Multipliers with LUT Sharing and Carry Switching. Proc. 2024 Design, Automation & Test in Europe Conference (DATE), 2024.

2023年：

[1] Hailong Chen, Hao Wu, Jiahui Li, Xin Wang, Lei Zhang. Keyword-Driven Service Recommendation Via Deep Reinforced Steiner Tree Search. IEEE Transactions on Industrial Informatics, 2023, 19(3): 2930-2941.

[2] Yanan Liu, Hao Zhang, Yanqiu Li, Kangjian He, Dan Xu. Skeleton-based Human Action Recognition via Large-kernel Attention Graph Convolutional Network. IEEE Transactions on Visualization and Computer Graphics, 2023, 29(5): 2575-2585.

[3] Wenwen Min, Taosheng Xu, Xiang Wan, Tsung-Hui Chang. Structured Sparse Non-negative Matrix Factorization with L2,0–Norm. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(8): 8584-8595.

[4] Qiuyu Sha, Xilong Liu, Nirwan Ansari. Efficient Multiple Green Energy Base Stations Far-Field Wireless Charging for Mobile IoT Devices. IEEE Internet of Things Journal, 2023, 10(10): 8734-8743.

[5] Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Wenjie Zhang, Xuemin Lin. Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions. IEEE Transactions on Knowledge and Data Engineering, 2023, DOI: 10.1109/TKDE.2023.3298490.

[6] Qian Su, Qinghui Zhang, Weidong Li, Xuejie Zhang. Primal-Dual-Based Computation Offloading Method for Energy-Aware Cloud-Edge Collaboration. IEEE Transactions on Mobile Computing, 2023, DOI: 10.1109/TMC.2023.3237938.

[7] Fanmin Kong, Yuanyuan Pu, Ivan Lee, Rencan Nie, Zhengpeng Zhao, Dan Xu, Wenhua Qian, Hong Liang. Unpaired Artistic Portrait Style Transfer via Asymmetric Double-Stream GAN. IEEE Transactions on Neural Networks and Learning Systems, 2023, DOI: 10.1109/TNNLS.2023.3263846.

[8] Jixian Zhang, Mingyi Zong, Athanasios V. Vasilakos, Weidong Li. UAV Base Station Network Transmission-Based Reverse Auction Mechanism for Digital Twin Utility Maximization. IEEE Transactions on Network and Service Management, 2023, DOI: 10.1109/TNSM.2023.3301522.

[9] Ruijun Chen, Jin Wang, Liang-Chih Yu, Xuejie Zhang. Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues. Proc. AAAI 2023, pp.12653-12661.

[10] 蒋希文, 王丽珍, Vanha TRAN. 基于模糊密度峰值聚类的区域同位模式并行挖掘算法. 中国科学:信息科学, 2023, 53(07):1281-1298.

2022年：

[1] Jianming Wang, Wei Wang, Jianhua Chen. Adaptive Rate Block Compressive Sensing Based on Statistical Characteristics Estimation. IEEE Transactions on Image Processing, 2022, 31: 734-747.

[2] Yiqiang Wu, Dapeng Tao, Yibing Zhan, Chenyang Zhang. BiN-Flow: Bidirectional Normalizing Flow for Robust Image Dehazing. IEEE Transactions on Image Processing, 2022, 31: 6635-6648.

[3] Yiqiang Wu, Ruxin Wang, Mingming Gong, Jun Cheng, Zhengtao Yu, Dapeng Tao. Adversarial UV-Transformation Texture Estimation for 3D Face Aging. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(7): 4338-4350.

[4] Jiahui Li, Hao Wu, Jiapei Chen, Qiang He, Ching-Hsien Hsu. Topology-Aware Neural Model for Highly Accurate QoS Prediction. IEEE Transactions on Parallel and Distributed Systems, 2022, 33(7): 1538-1552.

[5] Jing Chai, Ivor W. Tsang. Learning With Label Proportions by Incorporating Unmarked Data. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(10): 5898-5912.

[6] Guowang Du, Lihua Zhou, Kevin Lü, Hao Wu, Zhimin Xu. Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization. IEEE Transactions on Neural Networks and Learning Systems, 2022, DOI: 10.1109/TNNLS.2022.3165542.

[7] Peizhong Yang, Lizhen Wang, Lihua Zhou, Hongmei Chen. Mining Spatial Co-Location Patterns With a Mixed Prevalence Measure. IEEE Transactions on Neural Networks and Learning Systems, 2022, DOI: 10.1109/TNNLS.2022.3221112.

[8] Weiyi Liu, Kun Yue, Jianyu Li, Jie Li, Jin Li, Zhijian Zhang. Inferring range of information diffusion based on historical frequent items. Data Mining & Knowledge Discovery, 2022, 36 (1): 82-107.

[9] Zhiwei Qi, Kun Yue, Liang Duan, Kuang Hu, Zhihong Liang. Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables. Information Sciences, 2022, 590: 198-216.

[10] Jiahui Wang, Kun Yue, Liang Duan, Zhiwei Qi, Shaojie Qiao. An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding. Knowledge-Based Systems, 2022, 239: 107996.

[11] Yirong Kan, Kun Yue, Hao Wu, Xiaodong Fu, Zhengbao Sun. Online Learning of Parameters for Modeling User Preference Based on Bayesian Network. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2022, 30 (2): 1-25.

[12] Yanan Liu, Hao Zhang, Dan Xu, Kangjian He. Graph transformer network with temporal kernel attention for skeleton-based action recognition. Knowledge-Based Systems, 2022, 240: 108146.

[13] Jie Li, Dan Xu, Shaowen Yao. Sliced Wasserstein Distance for Neural Style Transfer. Computer Graphics, 2022, 102: 89-98.

[14] Li Yuan, Jin Wang, Liang-Chih Yu, Xuejie Zhang. Hierarchical template transformer for fine-grained sentiment controllable generation. Information Processing & Management, 2022, 59(5): 103048.

[15] Xilong Liu, Nirwan Ansari, Qiuyu Sha, Yongxing Jia. Efficient Green Energy Far-Field Wireless Charging for Internet of Things. IEEE Internet of Things Journal, 2022, 9(22): 23047-23057.

[16] Yiqiang Wu, Dapeng Tao, Yong Luo, Jun Cheng, Xuelong Li. Covered Style Mining via Generative Adversarial Networks for Face Anti-spoofing. Pattern Recognition, 2022, 132: 108957.

[17] Xiaofei Liu, Zhonghao Liu. The Bound Coverage Problem by Aligned Disks in L1 Metric. Proc. 28th International Conference on Computing and Combinatorics (COCOON), 2022, pp.305-312. (EI, AN: 20230713596398)

[18] Kaiyu Song, Kun Yue, Liang Duan, Mingze Yang, Angsheng Li. Mutual Information Based Bayesian Graph Neural Network for Few-shot Learning. Proc. UAI 2022, pp.1866-1875.

[19] Kaifang Xiong, Hongmei Chen, Lizhen Wang, Qing Xiao. Mining fuzzy sub-prevalent co-location pattern with dominant feature. Proc. ACM SIGSPATIAL 2022, DOI:10.1145/3557915.3560971.

[20] 何冰冰, 张榆锋, 李支尧, 熊丽, 郎恂, 梁虹. 超声多角度平面波相干复合血流速度检测的参数研究. 电子学报, 2022, 50(10): 2478-2488.

[21] 刘晓非, 代涵, 李思哲, 李伟东. 平面上带次模惩罚费用的最小能量部分覆盖问题. 中国科学:信息科学, 2022, 52(06): 947-959.

[22] 邹目权, 王丽珍, 吴萍萍, 杨培忠. 基于Voronoi图的空间Co-Location核模式挖掘. 计算机学报, 2022, 45(09):1908-1925.

2021年：

[1] Hao Wu, Yunhao Duan, Kun Yue, et al. Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning. IEEE Transactions on Services Computing, 2021, DOI: 10.1109/TSC.2021.3098756.

[2] Hao Wu, Shaowei Qin, Rencan Nie, et al. Effective Collaborative Representation Learning for Multilabel Text Categorization. IEEE Transactions on Neural Networks and Learning Systems, 2021, DOI: 10.1109/TNNLS.2021.3069647.

[3] Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, et al. SCPM-CR: A Novel Method for Spatial Co-location Pattern Mining with Coupling Relation Consideration. IEEE Transactions on Knowledge and Data Engineering, 2021, DOI: 10.1109/TKDE.2021.3060119.

[4] Xiaoxuan Wang, Le Lei, Lizhen Wang, et al. Spatial Co-location Pattern Discovery Incorporating Fuzzy Theory. IEEE Transactions on Fuzzy Systems, 2021, DOI: 10.1109/TFUZZ.2021.3074074.

[5] Rencan Nie, Chaozhen Ma, Jinde Cao, et al. A Total Variation with Joint Norms for Infrared and Visible Image Fusion. IEEE Transactions on Multimedia, 2021, DOI: 10.1109/TMM.2021.3065496.

[6] Liang Duan, Shuai Ma, Charu Aggarwal, et al. Improving spectral clustering with deep embedding, cluster estimation and metric learning. Knowledge and Information Systems, 2021, 63: 675-694.

[7] Jie Li, Kun Yue, Liang Duan, et al. Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns. Proc. DASFAA 2021, LNCS 12681, pp. 224-239.