Dr Lin Yue
Lecturer
School of Computer Science and Information Technology
College of Engineering and Information Technology
Dr Lin Yue earned her PhD from Jilin University, with part of her doctoral studies completed as a joint PhD candidate at the University of Queensland. From 2014 to 2015, she was a member of the Data Science Group at the University of Queensland. Throughout her academic career, she has held positions at several esteemed institutions, including Northeast Normal University, the University of Queensland, and the University of Newcastle.
Dr Yue's research is centered on Sequential Data Analysis and its diverse applications. Her work spans multiple domains, including Medical Data Analytics, EEG Data Analysis, Brain-Computer Interfaces, Social Media Data Analytics, and Sentiment Analysis.
Dr Yue is recognized for her collaborative research efforts, working closely with professionals across academia, government, and professional organizations. Her work has been supported by numerous internal and external research grants.
| Year | Citation |
|---|---|
| 2025 | Sun, Y., Yue, L., Liu, Y., Chen, W., & Sun, Z. (2025). The Application of the SubChain Salp Swarm Algorithm in the Less-Than-Truckload Freight Matching Problem. APPLIED SCIENCES-BASEL, 15(8), 14 pages. |
| 2025 | Sun, Y., Yue, L., Jin, H., Chen, W., & Sun, Z. (2025). A Modeling Method for Emergency Rescue Center Siting Based on the Variable Butterfly Optimization Algorithm. Electronics (Switzerland), 14(8), 18 pages. |
| 2025 | Wang, Y., Chen, W., Yue, L., Nabney, I., & Pi, D. (2025). Beyond EHRs: External Clinical knowledge and cohort Features for medication recommendation. Knowledge Based Systems, 324, 113763. Scopus2 WoS1 |
| 2024 | Xu, Y., Li, T., Yang, Y., Chen, W., & Yue, L. (2024). An adaptive category-aware recommender based on dual knowledge graphs. Information Processing and Management, 61(3), 14 pages. Scopus14 WoS13 |
| 2024 | Han, X., Chu, Y., Wang, K., Wang, L., Yue, L., & Ding, W. (2024). TAILOR: InTer-feAture distinctIon fiLter fusiOn pRuning. Information Sciences, 665, 120229. Scopus3 |
| 2023 | Chen, W., Zhang, W. E., & Yue, L. (2023). Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs. World Wide Web, 26(6), 4025-4045. Scopus5 WoS5 |
| 2023 | Shi, Z., Wang, S., Yue, L., Zhang, Y., Adhikari, B. K., Xue, S., . . . Li, X. (2023). Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction. Information Sciences, 637, 13 pages. Scopus3 WoS3 |
| 2023 | Guo, L., Wang, L., Han, X., Yue, L., Zhang, Y., & Gao, M. (2023). ROCM: A Rolling Iteration Clustering Model Via Extracting Data Features. Neural Processing Letters, 55(4), 3899-3922. Scopus2 |
| 2023 | Amagasa, T., Calvanese, D., Han, X., Li, B., Tao, C., & Yue, L. (2023). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13421 LNCS, v-vi. |
| 2023 | Li, B., Yue, L., Tao, C., Han, X., Calvanese, D., & Amagasa, T. (2023). Preface. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 13422 LNCS, v-vi. |
| 2023 | Amagasa, T., Calvanese, D., Han, X., Li, B., Tao, C., & Yue, L. (2023). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13423 LNCS, v-vi. |
| 2022 | Zhang, Y., Peng, T., Han, R., Han, J., Yue, L., & Liu, L. (2022). Synchronously tracking entities and relations in a syntax-aware parallel architecture for aspect-opinion pair extraction. Applied Intelligence, 52(13), 15210-15225. Scopus11 |
| 2022 | Peng, T., Han, R., Cui, H., Yue, L., Han, J., & Liu, L. (2022). Distantly Supervised Relation Extraction using Global Hierarchy Embeddings and Local Probability Constraints. Knowledge-Based Systems, 235, 107637. Scopus24 |
| 2022 | Wang, Y., Chen, W., Pi, D., & Yue, L. (2022). Adaptive Multi-Hop Reading on Memory Neural Network with Selective Coverage Mechanism for Medication Recommendation. ACTA ELECTONICA SINICA, 50(4), 943. Scopus4 |
| 2021 | Wang, Y., Chen, W., Pi, D., & Yue, L. (2021). Adversarially regularized medication recommendation model with multi-hop memory network. Knowledge and Information Systems, 63(1), 125-142. Scopus32 WoS25 |
| 2021 | Yue, L., Shen, H., Wang, S., Boots, R., Long, G., Chen, W., & Zhao, X. (2021). Exploring BCI control in smart environments: intention recognition via EEG representation enhancement learning. ACM Transactions on Knowledge Discovery from Data (TKDD), 15(5), 1-20. Scopus19 WoS17 |
| 2021 | Shi, Z., Wang, S., Yue, L., Pang, L., Zuo, X., Zuo, W., & Li, X. (2021). Deep dynamic imputation of clinical time series for mortality prediction. Information Sciences, 579, 607-622. Scopus20 |
| 2020 | Shi, Z., Zuo, W., Liang, S., Zuo, X., Yue, L., & Li, X. (2020). IDDSaM: an Integrated Disease Diagnosis and Severity assessment Model for Intensive Care Units. IEEE Access, 8, 15423-15435. Scopus8 |
| 2020 | Zhang, Y., Shi, Z., Zuo, W., Yue, L., Liang, S., & Li, X. (2020). Joint Personalized Markov Chains with social network embedding for cold-start recommendation. Neurocomputing, 386, 208-220. Scopus39 |
| 2020 | Yue, L., Tian, D., Chen, W., Han, X., & Yin, M. (2020). Deep learning for heterogeneous medical data analysis. World Wide Web, 23(5), 2715-2737. Scopus67 WoS47 |
| 2019 | Yue, L., Chen, W., Li, X., Zuo, W., & Yin, M. (2019). A survey of sentiment analysis in social media. Knowledge and Information Systems, 60(2), 617-663. Scopus466 WoS327 |
| 2018 | Zhao, X., Li, J., Wang, R., He, F., Yue, L., & Yin, M. (2018). General and species-specific lysine acetylation site prediction using a bi-modal deep architecture. IEEE Access, 6, 63560-63569. Scopus9 |
| 2018 | Yue, L., Sun, X. X., Gao, W. Z., Feng, G. Z., & Zhang, B. Z. (2018). Multiple Auxiliary Information Based Deep Model for Collaborative Filtering. Journal of Computer Science and Technology, 33(4), 668-681. Scopus18 |
| 2017 | Yang, Y., Xu, Y., Han, J., Wang, E., Chen, W., & Yue, L. (2017). Efficient traffic congestion estimation using multiple spatio-temporal properties. Neurocomputing, 267, 344-353. Scopus47 |
| 2017 | Yue, L., Shi, Z., Han, J., Wang, S., Chen, W., & Zuo, W. (2017). Multi-factors based sentence ordering for cross-document fusion from multimodal content. Neurocomputing, 253, 6-14. Scopus3 |
| 2015 | Yue, L., Zuo, W., Peng, T., Wang, Y., & Han, X. (2015). A fuzzy document clustering approach based on domain-specified ontology. Data and Knowledge Engineering, 100, 148-166. Scopus27 |
| 2015 | Guo, L., Zuo, W., Peng, T., & Yue, L. (2015). Text Matching and Categorization: Mining Implicit Semantic Knowledge from Tree-Shape Structures. Mathematical Problems in Engineering, 2015, 1-9. Scopus4 |
| 2014 | Yue, L., Zuo, W., Feng, L., & Guo, L. (2014). OMFM: A framework of object merging based on fuzzy multisets. Mathematical Problems in Engineering, 2014(1). Scopus1 |
| 2012 | Yang, X., Zou, C., Yue, L., & Gao, R. (2012). Research on food complains document classification based-on topic. Journal of Software, 7(8), 1687-1693. Scopus1 |
| 2012 | Yang, X. Q., Yue, L., Ma, Z. Q., Lv, Y. H., & Martinez, F. S. (2012). An ontology-driven approach based on fuzzy equivalence relation for document clustering analysis. Icic Express Letters, 6(5), 1321-1327. Scopus1 |
| 2011 | Yang, X., Yue, L., Liu, C., Zou, C., & Tian, Y. (2011). A knowledge-driven approach for document clustering. Icic Express Letters Part B Applications, 2(5), 1123-1129. |
| Year | Citation |
|---|---|
| 2023 | Yue, L., Zhang, Y., Zhao, X., Zhang, Z., & Chen, W. (2023). Improving Motor Imagery Intention Recognition via Local Relation Networks. In B. Li, L. Yue, C. Tao, X. Han, D. Calvanese, & T. Amagasa (Eds.), Web and Big Data (Vol. 13421 LNCS, pp. 345-356). Switzerland: Springer Nature Switzerland. DOI Scopus1 |
| Year | Citation |
|---|---|
| 2026 | Wang, Y., Yue, L., & Li, Y. (2026). Graph Attention-Based Multi-head Voting Strategy for Unsupervised Ranking in Medication Recommendation. In Lecture Notes in Computer Science Vol. 16199 LNCS (pp. 172-182). Springer Nature Singapore. DOI |
| 2025 | Zheng, L. N., Dong, C., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2 (KDD 2025) Vol. 2 (pp. 4026-4037). New York, NY, USA: Association for Computing Machinery (ACM). DOI Scopus1 |
| 2025 | Zheng, L. N., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 4434-4443). ACM. DOI |
| 2025 | Liang, W., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Calibrating on Medical Segmentation Model through Signed Distance. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 1778-1787). ACM. DOI |
| 2025 | Liang, W., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Calibrating on Kolmogorov-Arnold Network. In Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 1768-1777). ACM. DOI |
| 2025 | Wang, Y., Yue, L., & Li, Y. (2025). Topological Knowledge Enhanced Personalized Ranking Model for Sequential Medication Recommendation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15390 LNAI (pp. 109-124). Sydney, Australi: Australian Academy of Science. DOI Scopus2 |
| 2024 | Zheng, L. N., Li, Z., Dong, C. G., Zhang, W. E., Yue, L., Xu, M., . . . Chen, W. (2024). Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) (pp. 3405-3414). Boise, Idaho, USA: Association for Computing Machinery (ACM). DOI Scopus4 WoS2 |
| 2024 | Zheng, L. N., Dong, C. G., Zhang, W. E., Chen, X., Yue, L., & Chen, W. (2024). Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) (pp. 3395-3404). New York, NY, USA: Association for Computing Machinery (ACM). DOI Scopus3 |
| 2024 | Zhang, M., Ferris, L. J., Yue, L., & Xu, M. (2024). Emotionally Guided Symbolic Music Generation Using Diffusion Models: The AGE-DM Approach. In Proceedings of the 6th ACM International Conference on Multimedia in Asia, MMAsia 2024 (pp. 1-5). Auckland New Zealand: ACM. DOI |
| 2024 | Dong, C. G., Zheng, L. N., Chen, W., Zhang, W. E., & Yue, L. (2024). SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. In Proceedings of the IEEE International Conference on Knowledge Graph (ICKG 2023) (pp. 117-125). Online: IEEE. DOI Scopus9 WoS8 |
| 2023 | Shen, S., Xu, M., Yue, L., Boots, R., & Chen, W. (2023). Death Comes But Why: An Interpretable Illness Severity Predictions in ICU. In B. Li, L. Yue, C. Tao, X. Han, D. Calvanese, & T. Amagasa (Eds.), Proceedings International Joint Conference APWeb-WAIM 2022 Vol. 13421 LNCS (pp. 60-75). Nanjing, China: Springer Nature Switzerland. DOI Scopus4 |
| 2023 | Xu, Y., Zhang, Y., Yang, Y., Xu, H., & Yue, L. (2023). Duet Representation Learning with Entity Multi-attribute Information in Knowledge Graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14177 LNAI (pp. 32-45). Shenyang: Springer Science and Business Media Deutschland GmbH. DOI |
| 2023 | Xu, Y., Yue, L., Xu, H., & Yang, Y. (2023). Learning Knowledge Representation with Entity Concept Information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14179 LNAI (pp. 268-283). Shenyang: Springer Science and Business Media Deutschland GmbH. DOI |
| 2023 | Wang, C., Peng, T., Zhang, Y., Yue, L., & Liu, L. (2023). AOPSS: A Joint Learning Framework for Aspect-Opinion Pair Extraction as Semantic Segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13422 LNCS (pp. 101-113). Nanjing: Springer Science and Business Media Deutschland GmbH. DOI Scopus1 |
| 2022 | Zhang, M., Yue, L., & Xu, M. (2022). ESTD: Empathy Style Transformer with Discriminative Mechanism. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13726 LNAI (pp. 58-72). Brisbane, Queensland: Springer Science and Business Media Deutschland GmbH. DOI Scopus1 |
| 2022 | Zhao, Y., Yue, L., & Xu, M. (2022). A Boosting Algorithm for Training from Only Unlabeled Data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13726 LNAI (pp. 459-473). Brisbane Queensland: IEEE. DOI |
| 2022 | Jiang, L., Zhang, W., Wang, Y., Luo, N., & Yue, L. (2022). Augmenting Personalized Question Recommendation with Hierarchical Information for Online Test Platform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13087 LNAI (pp. 103-117). Brisbane, Australia: Springer. DOI Scopus4 |
| 2022 | Zhang, C., Zhang, Y., Mao, J., Chen, W., Yue, L., Bai, G., & Xu, M. (2022). Towards Better Generalization for Neural Network-Based SAT Solvers. In Pacific-Asia Conference on Knowledge Discovery and Data Mining Vol. 13281 LNAI (pp. 199-210). Online: Springer, Cham. DOI Scopus3 |
| 2022 | Qiu, Y., Chen, W., Yue, L., Xu, M., & Zhu, B. (2022). STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition. In International Conference on Advanced Data Mining and Applications Vol. 13087 LNAI (pp. 86-100). Online: Springer, Cham. DOI Scopus10 WoS8 |
| 2022 | Zang, Y., Liu, Y., Chen, W., Li, B., Li, A., Yue, L., & Ma, W. (2022). GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13246 LNCS (pp. 289-297). Virtual, Online: Springer Science and Business Media Deutschland GmbH. DOI Scopus12 |
| 2021 | Wang, Y., Chen, W., Pi, D., Yue, L., Wang, S., & Xu, M. (2021). Self-Supervised Adversarial Distribution Regularization for Medication Recommendation.. In IJCAI (pp. 3134-3140). Virtual, Online: International Joint Conferences on Artificial Intelligen. DOI Scopus40 WoS34 |
| 2021 | Liu, C., Yang, Y., Yao, Z., Xu, Y., Chen, W., Yue, L., & Wu, H. (2021). Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (pp. 1048-1057). Virtual, Online: Association for Computing Machinery. DOI Scopus5 WoS4 |
| 2021 | Wang, Y., Chen, W., Pi, D., Yue, L., Xu, M., & Li, X. (2021). Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (pp. 2020-2029). Virtual, Online: Association for Computing Machinery. DOI Scopus13 WoS14 |
| 2021 | Yue, L., Tian, D., Jiang, J., Yao, L., Chen, W., & Zhao, X. (2021). Intention recognition from spatio-temporal representation of EEG signals. In M. Qiao, G. Vossen, S. Wang, & L. Li (Eds.), Databases Theory and Applications. ADC 2021 Vol. 12610 LNCS (pp. 1-12). Switzerland AG: Springer, Cham. DOI Scopus8 WoS7 |
| 2019 | Shi, Z., Zuo, W., Chen, W., Yue, L., Hao, Y., & Liang, S. (2019). DMMAM: Deep multi-source multi-task attention model for intensive care unit diagnosis. In Database Systems for Advanced Applications (DASFAA) Vol. 11447 (pp. 53-69). Handel, Switzerland: Springer, Cham. DOI Scopus6 WoS5 |
| 2019 | Chen, W., Yue, L., Li, B., Wang, C., & Sheng, Q. Z. (2019). DAMTRNN: a delta attention-based multi-task RNN for intention recognition. In International Conference on Advanced Data Mining and Applications Vol. LNAI 11888 (pp. 373-388). Dalian, China: Springer, Cham. DOI Scopus8 WoS12 |
| 2019 | Shi, Z., Chen, W., Liang, S., Zuo, W., Yue, L., & Wang, S. (2019). Deep interpretable mortality model for intensive care unit risk prediction. In J. Li, S. Wang, S. Qin, X. Li, & S. Wang (Eds.), Advanced Data Mining and Applications. ADMA 2019. Vol. 11888 (pp. 617-631). Dalian, China: Springer, Cham. DOI Scopus7 WoS6 |
| 2019 | Yue, L., Zhao, H., Yang, Y., Tian, D., Zhao, X., & Yin, M. (2019). A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 11448 LNCS (pp. 392-396). Springer International Publishing. DOI Scopus2 |
| 2018 | Zhang, Y., Zuo, W., Shi, Z., Yue, L., & Liang, S. (2018). Social Bayesian personal ranking for missing data in implicit feedback recommendation. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 11061 LNAI (pp. 299-310). Springer International Publishing. DOI Scopus4 |
| 2018 | Hao, Y., Zuo, W., Shi, Z., Yue, L., Xue, S., & He, F. (2018). Prognosis of thyroid disease using MS-apriori improved decision tree. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 11061 LNAI (pp. 452-460). Springer International Publishing. DOI Scopus7 |
| 2018 | Chen, W., Wang, S., Zhang, X., Yao, L., Yue, L., Qian, B., & Li, X. (2018). EEG-based motion intention recognition via multi-task RNNs. In SIAM International Conference on Data Mining Sdm 2018 (pp. 279-287). Society for Industrial and Applied Mathematics. DOI Scopus87 |
| 2017 | Shi, Z., Zuo, W., Chen, W., Yue, L., Han, J., & Feng, L. (2017). User relation prediction based on matrix factorization and hybrid particle swarm optimization. In Proceedings of the 26th International Conference on World Wide Web Companion (pp. 1335-1341). Perth, Australia: ACM Digital. DOI Scopus11 WoS10 |
| 2012 | Yang, X., Wang, M., Fang, L., Yue, L., & Lv, Y. (2012). Research on domain-specific features clustering based spectral clustering. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 7332 LNCS (pp. 84-92). Springer Berlin Heidelberg. DOI Scopus1 |
| Year | Citation |
|---|---|
| 2025 | Zheng, L. N., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2025). Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability. |
| 2024 | Zheng, L. N., Dong, C. G., Zhang, W. E., Yue, L., Xu, M., Maennel, O., & Chen, W. (2024). Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment. |
| 2024 | Zheng, L. N., Li, Z., Dong, C. G., Zhang, W. E., Yue, L., Xu, M., . . . Chen, W. (2024). Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. |
| 2024 | Zheng, L. N., Dong, C. G., Zhang, W. E., Chen, X., Yue, L., & Chen, W. (2024). Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. |
| 2023 | Dong, C. G., Zheng, L. N., Chen, W., Zhang, W. E., & Yue, L. (2023). SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. |
| Grant/Funding | Project/Description | Location | Year |
|---|---|---|---|
| Seed Funding | Seed Funding | Australia | 2025 |
| SET Early Mid-Career Research Grant | Decentralised Sentiment Analysis in Dynamic Environments | Australia | 2024 |
| Research Small Equipment Support Scheme |
Portable EEG Devices for Advancing Educational Research on Cognitive Load, Engagement, and Personalized Learning Strategies |
Australia | 2024 |
| UOA Start-up Funding | Start-up Funding | Australia | 2024 |
| CESE Excellence Strategic Investment Scheme | Virtual Voices Meet Real Emotions: Cyber Language and Its Impact on Emotional Landscape of Social Media | Australia | 2024 |
| CESE Conference Scheme | The International Conference on Database Systems for Advanced Applications (DASFAA) | Australia | 2024 |
| Fellowship Accelerator Scheme | Detecting Sentimental Clues from Implicit Language Expressions | Australia | 2023 |
| SIPS Course Development Funding | Statistical Reasoning and Literacy | Australia | 2023 |
| UON Start-up Funding | Semi-supervised Federated Learning for Highly-Imbalanced Medical Data Analysis | Australia | 2022 |
| SIPS Course Development Funding | Predictive Analytics | Australia | 2022 |
| UQ Early Career Researchers AI Collaborative Seed Funding Grant | Towards Positive Emotion: Artificial Intelligence-based Expression Rephrasing | Australia | 2022 |
| Ford Motor Company University Research Program (URP) | UMN: Unmanned Mapless Navigation Based on Reinforcement Learning Sensor Network | USA | 2020 |
| National Natural Science Foundation of China | Solving and Computing the Size of the Solution Space for High Dimensional SMT Formulas | China | 2020 |
| Outstanding Sino-foreign Youth Exchange Program of China Association for Science and Technology | Jilin Province, Total of 5 People | China | 2019 |
| Excellent Young Talents Fund Project of Jilin Province | Research on Learning and Reasoning Model Based on Heterogeneous Medical Data | China | 2018-2019 |
| Fundamental Research Funds for the Central Universities | Research on Network Emergency Detection Based on Gradient Petri Nets | China | 2017-2018 |
| Key Laboratory of Symbolic Computation and Knowledge Engineering of Jilin University, Ministry of Education, Open Fund Project | Research on Prediction of Sensitive Events Based on Heterogeneous Social Media Data | China | 2017-2018 |
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2025 | Co-Supervisor | Leveraging Knowledge-aware Methodologies for Multi-document Summarization | Doctor of Philosophy | Doctorate | Full Time | Miss Yutong Qu |
| 2025 | Co-Supervisor | Advanced Adaptive Learning Frameworks for Scalable and Efficient Continual Learning in Machine Learning Applications | Doctor of Philosophy | Doctorate | Full Time | Mr Zechao Sun |
| 2025 | Co-Supervisor | Leveraging Knowledge-aware Methodologies for Multi-document Summarization | Doctor of Philosophy | Doctorate | Full Time | Miss Yutong Qu |
| 2025 | Co-Supervisor | Advanced Adaptive Learning Frameworks for Scalable and Efficient Continual Learning in Machine Learning Applications | Doctor of Philosophy | Doctorate | Full Time | Mr Zechao Sun |
| 2024 | Co-Supervisor | Artificial intelligence-based diagnosis using multimodal information | Doctor of Philosophy | Doctorate | Full Time | Mr Liangwei Zheng |
| 2024 | Co-Supervisor | Exploring Explainable AI in Pathological Diagnostics and Healthcare | Doctor of Philosophy | Doctorate | Full Time | Mr Wenhao Liang |
| 2024 | Co-Supervisor | Exploring Explainable AI in Pathological Diagnostics and Healthcare | Doctor of Philosophy | Doctorate | Full Time | Mr Wenhao Liang |
| 2024 | Co-Supervisor | Artificial intelligence-based diagnosis using multimodal information | Doctor of Philosophy | Doctorate | Full Time | Mr Liangwei Zheng |
| 2023 | Co-Supervisor | An efficient and robust deep learning framework for multi-scale feature fusion object detection | Doctor of Philosophy | Doctorate | Full Time | Mr Yibo Sun |
| 2023 | Co-Supervisor | An efficient and robust deep learning framework for multi-scale feature fusion object detection | Doctor of Philosophy | Doctorate | Full Time | Mr Yibo Sun |
| Date | Role | Research Topic | Location | Program | Supervision Type | Student Load | Student Name |
|---|---|---|---|---|---|---|---|
| 2024 - ongoing | Co-Supervisor | Weakly Supervised Learning for Mental Health | The University of Queensland | - | Doctorate | Full Time | Mingzhe Zhang |
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