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2022

Journal Article

Dynamic sampling and selective masking for communication-efficient federated learning

Ji, Shaoxiong, Jiang, Wenqi, Walid, Anwar and Li, Xue (2022). Dynamic sampling and selective masking for communication-efficient federated learning. IEEE Intelligent Systems, 37 (2), 27-34. doi: 10.1109/MIS.2021.3114610

Dynamic sampling and selective masking for communication-efficient federated learning

2022

Journal Article

Coarse-to-Fine Spatio-Temporal Information Fusion for Compressed Video Quality Enhancement

Luo, Dengyan, Ye, Mao, Li, Shuai and Li, Xue (2022). Coarse-to-Fine Spatio-Temporal Information Fusion for Compressed Video Quality Enhancement. IEEE Signal Processing Letters, 29, 543-547. doi: 10.1109/LSP.2022.3147441

Coarse-to-Fine Spatio-Temporal Information Fusion for Compressed Video Quality Enhancement

2022

Journal Article

Preface

Li, Xue, Yao, Lina and Chen, Weitong (2022). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13725 LNAI, v-vi.

Preface

2022

Conference Publication

Causality discovery based on combined causes and multiple causes in drug-drug interaction

Subpaiboonkit, Sitthichoke, Li, Xue, Zhao, Xin and Zuccon, Guido (2022). Causality discovery based on combined causes and multiple causes in drug-drug interaction. 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, 28-30 November 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-22064-7_5

Causality discovery based on combined causes and multiple causes in drug-drug interaction

2022

Journal Article

Preface

Li, Xue, Yao, Lina and Chen, Weitong (2022). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13726 LNAI, v-vi.

Preface

2022

Conference Publication

KUNet: imaging knowledge-inspired single HDR image reconstruction

Wang, Hu, Ye, Mao, Zhu, Xiatian, Li, Shuai, Zhu, Ce and Li, Xue (2022). KUNet: imaging knowledge-inspired single HDR image reconstruction. Thirty-First International Joint Conference on Artificial Intelligence, Vienna, Austria, 23-29 July 2022. Palo Alto, CA, United States: International Joint Conferences on Artificial Intelligence. doi: 10.24963/ijcai.2022/196

KUNet: imaging knowledge-inspired single HDR image reconstruction

2021

Conference Publication

Source-Style Transferred Mean Teacher for Source-data Free Object Detection

Zhang, Dan, Ye, Mao, Xiong, Lin, Li, Shuaifeng and Li, Xue (2021). Source-Style Transferred Mean Teacher for Source-data Free Object Detection. MMAsia '21: ACM Multimedia Asia, Gold Coast, QLD Australia, 1 - 3 December 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3469877.3490584

Source-Style Transferred Mean Teacher for Source-data Free Object Detection

2021

Journal Article

Learning various length dependence by dual recurrent neural networks

Zhang, Chenpeng, Li, Shuai, Ye, Mao, Zhu, Ce and Li, Xue (2021). Learning various length dependence by dual recurrent neural networks. Neurocomputing, 466, 1-15. doi: 10.1016/j.neucom.2021.09.043

Learning various length dependence by dual recurrent neural networks

2021

Journal Article

Deep dynamic imputation of clinical time series for mortality prediction

Shi, Zhenkun, Wang, Sen, Yue, Lin, Pang, Lixin, Zuo, Xianglin, Zuo, Wanli and Li, Xue (2021). Deep dynamic imputation of clinical time series for mortality prediction. Information Sciences, 579, 607-622. doi: 10.1016/j.ins.2021.08.016

Deep dynamic imputation of clinical time series for mortality prediction

2021

Conference Publication

Multi-hop reading on memory neural network with selective coverage for medication recommendation

Wang, Yanda, Chen, Weitong, Pi, Dechang, Yue, Lin, Xu, Miao and Li, Xue (2021). Multi-hop reading on memory neural network with selective coverage for medication recommendation. ACM International Conference on Information & Knowledge Management, Virtual Event, 1-5 November 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3459637.3482278

Multi-hop reading on memory neural network with selective coverage for medication recommendation

Featured

2021

Conference Publication

Privacy-preserving gradient descent for distributed genome-wide analysis

Zhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan K. L. (2021). Privacy-preserving gradient descent for distributed genome-wide analysis. ESORICS 2021 - 26th European Symposium on Research in Computer Security, Darmstadt, Germany, 4–8 October, 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-88428-4_20

Privacy-preserving gradient descent for distributed genome-wide analysis

2021

Journal Article

Source data‐free domain adaptation of object detector through domain‐specific perturbation

Xiong, Lin, Ye, Mao, Zhang, Dan, Gan, Yan, Li, Xue and Zhu, Yingying (2021). Source data‐free domain adaptation of object detector through domain‐specific perturbation. International Journal of Intelligent Systems, 36 (8), 3746-3766. doi: 10.1002/int.22434

Source data‐free domain adaptation of object detector through domain‐specific perturbation

2021

Journal Article

Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach

Hu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Wang, Sen, Li, Xue, Wu, Tianqi, Jarin, Sams and Zhang, Ming-Xing (2021). Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach. Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, 52 (7), 2873-2884. doi: 10.1007/s11661-021-06279-5

Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach

2021

Journal Article

Suicidal ideation and mental disorder detection with attentive relation networks

Ji, Shaoxiong, Li, Xue, Huang, Zi and Cambria, Erik (2021). Suicidal ideation and mental disorder detection with attentive relation networks. Neural Computing and Applications, 34 (13), 10309-10319. doi: 10.1007/s00521-021-06208-y

Suicidal ideation and mental disorder detection with attentive relation networks

2021

Conference Publication

Alignment-Free Video Compression Artifact Reduction

Luo, Dengyan, Ye, Mao, Chen, Shengjie and Li, Xue (2021). Alignment-Free Video Compression Artifact Reduction. IEEE International Conference on Visual Communications and Image Processing (VCIP) - Visual Communications in the Era of AI and Limited Resources, Munich, Germany, 5-8 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/VCIP53242.2021.9675384

Alignment-Free Video Compression Artifact Reduction

2021

Conference Publication

Welcome from the ICBK 2021 Chairs

Chen, Lei, Manjon, Baltasar Fernandez, Gong, Zhiguo, Li, Xue, Öǧüdücü, Sule Gündüz and Wu, Xindong (2021). Welcome from the ICBK 2021 Chairs. 12th IEEE International Conference on Big Knowledge, ICBK 2021, Auckland, New Zealand, 7-8 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICKG52313.2021.00005

Welcome from the ICBK 2021 Chairs

2020

Conference Publication

Learning causal Bayesian networks from text

Moghimifar, Farhad, Rahimi, Afshin, Baktashmotlagh, Mahsa and Li, Xue (2020). Learning causal Bayesian networks from text. The 18th Annual Workshop of the Australasian Language Technology Association, Virtual, 14-15 January 2021. Australasian Language Technology Association.

Learning causal Bayesian networks from text

2020

Journal Article

Suicidal ideation detection: a review of machine learning methods and applications

Ji, Shaoxiong, Pan, Shirui, Li, Xue, Cambria, Erik, Long, Guodong and Huang, Zi (2020). Suicidal ideation detection: a review of machine learning methods and applications. IEEE Transactions on Computational Social Systems, 8 (1) 9199553, 214-226. doi: 10.1109/tcss.2020.3021467

Suicidal ideation detection: a review of machine learning methods and applications

2020

Journal Article

A time-critical topic model for predicting the survival time of sepsis patients

Guo, Wenping, Xu, Zhuoming, Ye, Xijian, Zhang, Shiqing, Zhao, Xiaoming and Li, Xue (2020). A time-critical topic model for predicting the survival time of sepsis patients. Scientific Programming, 2020 (1) 8884539, 1-13. doi: 10.1155/2020/8884539

A time-critical topic model for predicting the survival time of sepsis patients

2020

Journal Article

Bidirectional generative transductive zero-shot learning

Li, Xinpeng, Zhang, Dan, Ye, Mao, Li, Xue, Dou, Qiang and Lv, Qiao (2020). Bidirectional generative transductive zero-shot learning. Neural Computing and Applications, 33 (10), 5313-5326. doi: 10.1007/s00521-020-05322-7

Bidirectional generative transductive zero-shot learning