Centre for Learning, Teaching and Technology (LTTC)

Research output

Research output per year 1998 2022 2023 2024 2025

• 127 Chapters
• 105 Articles
• 60 Papers
• 24 Other contributions
• 10 More
  • 5 Books
  • 5 Teaching Development Grants (TDG)

Research output per year

Research output per year

Search results

• 2025

  A causal-based attribute selection strategy for conversational recommender systems

  YU, D., LI, Q., WANG, X. & XU, G., Feb 2025, (E-pub ahead of print) In: IEEE Transactions on Knowledge and Data Engineering.

  Research output: Contribution to journal › Articles › peer-review

  • User Attributes 100%
  • Average Treatment Effect 100%
  • Time Attribute 66%
  • Effect Relation 50%
  • Causal Impact 33%

• A cross-domain knowledge tracing model based on graph optimal transport

  WU, Z., LIU, Y., CEN, J., ZHENG, Z. & XU, G., 2025, In: World Wide Web. 28, 10.

  Research output: Contribution to journal › Articles › peer-review

  • Cross-domain Representation 100%
  • State Distribution 33%
  • Lstm 16%
  • LSTM Model 11%
  • Domain Embedding 11%

• Efficient shortest time query in public transportation networks

  ZHAO, Y., XU, S., LI, J., YANG, Y., ZHANG, J. & CHEN, C., 2025, Advanced data mining and applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part III. Singapore: Springer, p. 338-353

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Public Transportation Network 100%
  • Departure Time 75%
  • Query Efficiency 50%
  • Efficient Query 25%
  • Minimum Travel Time 25%

• Enhancing spatiotemporal prediction with intra- and inter-granularity contrastive learning

  HAN, Q., SUI, S., LU, D., WU, S. & XU, G., 2025, Database systems for advanced applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 2–5, 2024, Proceedings, Part II. ONIZUKA, M., LEE, J.-G., TONG, Y., XIAO, C., ISHIKAWA, Y., AMER-YAHIA, S., JAGADISH, H. V. & LU, K. (eds.). Singapore: Springer, p. 195-210

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Spatio-temporal Prediction 100%
  • Semantic Hypergraph 12%
  • Dual Hypergraph 12%
  • Order Dependency 9%

• Graph and sequential neural networks in session-based recommendation: A survey

  LI, Z., YANG, C., CHEN, Y., WANG, X., CHEN, H., XU, G., YAO, L. & SHENG, M., Feb 2025, In: ACM Computing Surveys. 57, 2, 40.

  Research output: Contribution to journal › Articles › peer-review

  Open Access

  • Neural Network 100%
  • Sequential Neural Network 100%
  • Technical Detail 100%
  • Key Definition 50%
  • Information Overload 33%
  3 Citations (Scopus)

• Graph Intention Embedding Neural Network for tag-aware recommendation

  WANG, D., YAO, H., YU, D., SONG, S., WENG, H., XU, G. & DENG, S., Apr 2025, In: Neural Networks. 184, 107062.

  Research output: Contribution to journal › Articles › peer-review

  • Tag-aware 100%
  • Neighbour Type 25%
  • Interaction Graph 25%
  • Node Type 25%
  • Node Neighbour 25%
  4 Citations (Scopus)

• Graph Neural Patching for Cold-Start Recommendations

  CHEN, H., YANG, Y., BEI, Y., WANG, Z., XU, Y. & HUANG, F., 2025, Databases theory and applications: 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, and Tokyo, Japan, December 16–18, 2024, Proceedings. CHEN, T., CAO, Y., NGUYEN, Q. V. H. & NGUYEN, T. T. (eds.). Singapore: Springer, p. 334-346

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Cold-start Recommendation 100%
  • Signal Modeling 33%
  • Hybrid Model 16%
  1 Citation (Scopus)

• HOT-GAN: Hilbert optimal transport for generative adversarial network

  LI, Q., WANG, Z., XIA, H., LI, G., CAO, Y., YAO, L. & XU, G., Mar 2025, In: IEEE Transactions on Neural Networks and Learning Systems. 36, 3, p. 4371-4384

  Research output: Contribution to journal › Articles › peer-review

  • Higher-Order Statistics 100%
  • Higher-order Statistics 77%
  • Underlying Distribution 49%
  • Generator Parameters 38%
  • Kernel Learning 38%

• Improving long-tail classification via decoupling and regularisation

  GAO, S., WANG, C., GAO, C., LUO, W., HAN, P., LIAO, Q. & XU, G., Feb 2025, In: CAAI Transactions on Intelligence Technology. 10, 1, p. 62-71

  Research output: Contribution to journal › Articles › peer-review

  Open Access

  • Long-tailed Classification 100%
  • Angle Distribution 100%
  • Additive Angular Margin 25%
  • Angular Features 25%
  • CIFAR-100 25%

• ResGAT: Embedding adjacent connectivity of brain regions from fMRI for accurate Parkinson’s Disease recognition

  LI, S., YANG, Y., LV, Y., XIA, J. & WANG, X., 2025, Advanced data mining and applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part IV. Singapore: Springer, p. 94-108

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Functional Magnetic Resonance Imaging 100%
  • Parkinson's Disease 100%
  • Brain Areas 20%
  • Neural Network 20%
  • Brain Network 20%

• Self-supervised dual graph learning for recommendation

  LI, A., YANG, B., HUO, H., HUSSAIN, F. K. & XU, G., Feb 2025, In: Knowledge-Based Systems. 310, 112967.

  Research output: Contribution to journal › Articles › peer-review

  • Interaction Behavior 100%
  • Collaborative Filtering 75%
  • Bipartite Graph 50%
  • Semantic Association 50%
  • Performance Improvement 25%

• Tri-modality collaborative learning for person re-identification

  DENG, S., YANG, Q., YANG, Z., CHEN, D., YANG, Y. & WANG, H., 2025, Databases theory and applications: 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, and Tokyo, Japan, December 16–18, 2024, Proceedings. CHEN, T., CAO, Y., NGUYEN, Q. V. H. & NGUYEN, T. T. (eds.). Singapore: Springer, p. 322-333

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Person Re-identification 100%
  • Trimodality 100%
  • Person Re-Identification 100%
  • Collaborative Learning Model 60%
  • Grayscale Image 40%
• 2024

  Affective-NLI: Towards accurate and interpretable personality recognition in conversation

  WEN, Z., CAO, J., YANG, Y., YANG, R. & LIU, S., 2024, Proceedings of 2024 IEEE International Conference on Pervasive Computing and Communications, PerCom 2024. USA: IEEE, p. 184-193

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Personality Recognition 100%
  • Natural Language Inference 100%
  • Dialog Content 100%
  • Interpretability 100%
  • Recognition Result 50%
  3 Citations (Scopus)

• A novel complex network prediction method based on multi-granularity contrastive learning

  SUI, S., HAN, Q., LU, D., WU, S. & XU, G., Dec 2024, In: CCF Transactions on Pervasive Computing and Interaction. 6, p. 394-405

  Research output: Contribution to journal › Articles › peer-review

  • Novel Complex 100%
  • Network Prediction 100%
  • Multi-granularity 100%
  • Data Complexity 25%
  • Vehicle Traffic 25%

• A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing

  XIE, S., HE, Z., LOH, Y. M., YANG, Y., LIU, K., LIU, C., CHEUNG, C. F., YU, N. & WANG, C., Aug 2024, In: Journal of Intelligent Manufacturing. 35, p. 2787-2810

  Research output: Contribution to journal › Articles › peer-review

  • Ensemble Learning 100%
  • Evolutionary Learning 100%
  • Interpretable Predictive Models 100%
  • Differential Evolution Algorithm 100%
  • Abrasive Water Jet 100%
  14 Citations (Scopus)

• API recommendation for mashup creation: A comprehensive survey

  ALHOSAINI, H., ALHARBI, S., WANG, X. & XU, G., May 2024, In: Computer Journal. 67, 5, p. 1920-1940

  Research output: Contribution to journal › Articles › peer-review

  • Application Programming Interface 100%
  • Mashup Development 100%
  • Multiple Applications 14%
  • Network Representation Learning 14%
  • Mashup 14%
  2 Citations (Scopus)

• A topic-controllable keywords-to-text generator with knowledge base network

  HE, L., SHI, K., WANG, D., WANG, X. & XU, G., Jun 2024, In: CAAI Transactions on Intelligence Technology. 9, 3, p. 585-594

  Research output: Contribution to journal › Articles › peer-review

  Open Access

  • Empirical Research 100%
  • Knowledge Base 100%
  • Human Knowledge 100%
  • Annotation 100%
  • Deep Learning Model 100%
  2 Citations (Scopus)

• Attention is not the only choice: Counterfactual reasoning for path-based explainable recommendation

  LI, Y., SUN, X., CHEN, H., ZHANG, S., YANG, Y. & XU, G., Sept 2024, In: IEEE Transactions on Knowledge and Data Engineering. 36, 9, p. 4458-4471

  Research output: Contribution to journal › Articles › peer-review

  • Case Study 100%
  • Attention Weight 75%
  • Path Representation 33%
  • Human Intuition 25%
  14 Citations (Scopus)

• Bayes-enhanced multi-view attention networks for robust POI recommendation

  XIA, J., YANG, Y., WANG, S., YIN, H., CAO, J. & YU, P. S., Jul 2024, In: IEEE Transactions on Knowledge and Data Engineering. 36, 7, p. 2895-2909

  Research output: Contribution to journal › Articles › peer-review

  • Bayes 100%
  • POI Recommendation 100%
  • Multi-view Attention Network 100%
  • User Preference 100%
  • Attention (Machine Learning) 100%
  4 Citations (Scopus)

• Cascading hypergraph convolution networks for multi-behavior sequential recommendation

  LU, D., ZHANG, H., LI, L., WU, S. & XU, G., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

• Category-aware self-supervised graph neural network for session-based recommendation

  WANG, D., DU, R., YANG, Q., YU, D., WAN, F., GONG, X., XU, G. & DENG, S., Sept 2024, In: World Wide Web. 27, 61.

  Research output: Contribution to journal › Articles › peer-review

  • Category-aware 100%
  • Self-Supervised Learning 50%
  • Capture Approach 50%
  • Behavior Record 33%
  • Self-supervised Learning 16%
  5 Citations (Scopus)

• Causality-based counterfactual explanation for classification models

  DUONG, T. D., LI, Q. & XU, G., Sept 2024, In: Knowledge-Based Systems. 300, 112200.

  Research output: Contribution to journal › Articles › peer-review

  Open Access

  • Limitations 100%
  • Loss Function 100%
  • Classification Model 100%
  • Counterfactual Explanations 100%
  • Classification Models 100%
  2 Citations (Scopus)

• CrimeAlarm: Towards intensive intent dynamics in fine-grained crime prediction

  HU, K., LI, L., XIE, Q., TAO, X. & XU, G., 2024, Proceedings of Database Systems for Advanced Applications: 29th International Conference, DASFAA 2024. ONIZUKA, M., LEE, J.-G., TONG, Y., XIAO, C., ISHIKAWA, Y., AMER-YAHIA, S., JAGADISH, H. V. & LU, K. (eds.). Singapore: Springer, p. 104-120

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Crime Prediction 100%
  • Criminal Act 100%
  • Output Probability 100%
  • Confidence Sequence 50%
  • Prediction Network 25%

• Developing an immersive game-based learning platform with generative artificial intelligence and virtual reality technologies: “LearningverseVR”

  SONG, Y., WU, K. & DING, J., 2024, In: Computers & Education: X Reality. 4, 100069.

  Research output: Contribution to journal › Articles › peer-review

  Open Access

  • Virtual Reality Technology 100%
  • Game-based Learning Platform 100%
  • Immersive Games 100%
  • Generative Artificial Intelligence 100%
  • Learning Platform 100%
  8 Citations (Scopus)

• Does label smoothing help deep partial label learning?

  GONG, X., BISHT, N. & XU, G., 2024, Proceedings of the 41st International Conference on Machine Learning. ML Research Press, Vol. 235. p. 15823-15838

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Label Smoothing 100%
  • Phase Locked Loop 50%
  • Classification Learning 50%
  • Optimal Smoothing 28%
  • Label Ambiguity 14%

• Dynamic spatial-temporal graph convolution network for e-bike traffic flow forecasting

  YU, D., GUO, G., WANG, D., OUYANG, T., WAN, F., LIU, J., XU, G. & DENG, S., Nov 2024, (E-pub ahead of print) In: IEEE Transactions on Vehicular Technology.

  Research output: Contribution to journal › Articles › peer-review

  • Electric Bicycle 100%
  • Traffic Flow Forecasting 100%
  • Linear Problem 33%
  • Flexible Mobility 25%
  • Attention Matrix 25%

• Enhancing traffic prediction via spatial multi-granularity co-evolving mechanism

  SUI, S., HAN, Q., LU, D., WU, S. & XU, G., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Evolving Mechanism 100%
  • Traffic Prediction 100%
  • Data Granularity 25%
  • Planning Scenarios 25%
  • Traffic Dynamics 25%

• Exclusion Vis: A visual interactive system for exclusion analysis in life insurance using machine learning techniques

  ISLAM, M. R., THAO, L. N. T., PROME, S. A., SAKIB, M. K. H., SANIN, C., XU, G. & HUANG, W., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Machine Learning Technique 100%
  • Interactive System 100%
  • Random Decision Forest 16%
  • Information Disclosure 16%
  • Support Vector 16%

• Fairness-aware mutual information for multimodal recommendation

  LU, D., CHEN, X., CHEN, R., WU, S. & XU, G., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Mutual Information 100%
  • Sensitive Informations 100%
  • Multimodal Recommendation 100%
  • Multimodal Embedding 66%
  • Non-sensitive 66%

• Graph neural networks for vulnerability detection: A counterfactual explanation

  CHU, Z., WAN, Y., LI, Q., WU, Y., ZHANG, H., SUI, Y., XU, G. & JIN, H., 2024, Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2024. New York: Association for Computing Machinery, p. 389-401

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Vulnerability Detection 100%
  • Codes on Graphs 33%
  • Minimal Perturbation 16%
  • Code Embedding 16%
  4 Citations (Scopus)

• Graph reasoning transformers for knowledge-aware question answering

  ZHAO, R., ZHAO, F., HU, L. & XU, G., 2024, Proceedings of The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24). USA: AAAI press, p. 19652-19660

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Level Diagrams 100%
  • Modality Discrepancy 100%
  • Cross-modal Information Fusion 100%
  • State-of-the-art Knowledge 50%
  • Graph Features 50%
  3 Citations (Scopus)

• Guest editorial: special issue on generating human readable explanations in NLP

  RAZZAK, I., BOUADJENEK, R., CHEEMA, A., HAMEED, I. A., XU, G. & BEHESHTI, A., Aug 2024, In: IEEE Transactions on Computational Social Systems. 11, 4, p. 4552-4555

  Research output: Contribution to journal › Articles › peer-review

• Integrating UN Sustainable Development Goals into family business practices: A perspective article

  HANNA, B., XU, G., WANG, X. & HOSSAIN, J., Nov 2024, In: Journal of Family Business Management. 14, 6, p. 1203-1211

  Research output: Contribution to journal › Articles › peer-review

  • Family Business 100%
  • United Nations Sustainable Development Goals (UN SDGs) 100%
  • Business Practices 100%
  • United Nations 100%
  • Sustainable Development Goals 100%

• Investigating learning behaviors and intervention effectiveness of students with special educational needs

  LI, X., YANG, Y., CAO, J., YANG, Z.-Q., WANG, K. & NG, V. T. Y., 2024, Blended learning. Intelligent computing in education: 17th International Conference on Blended Learning, ICBL 2024, Macao SAR, China, July 29 – August 1, 2024, Proceedings. MA, W. W. K., LI, C., FAN, C. W., U, L. H. & LU, A. (eds.). Singapore: Springer, p. 262-272

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Learning Behavior 100%
  • Learning Intervention 100%
  • Students with Special Educational Needs 100%
  • Intervention Effectiveness 100%
  • Special Educational Needs 100%

• KG-CoT: Chain-of-thought prompting of large language models over knowledge graphs for knowledge-aware question answering

  ZHAO, R., ZHAO, F., WANG, L., WANG, X. & XU, G., 2024, Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24). International Joint Conferences on Artificial Intelligence, p. 6642-6650

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Chain-of-Thought 100%
  • Reasoning Model 14%
  • Reasoning LLM 14%
  • Model-based Reasoning 12%
  • Graph Reasoning 12%

• Learning influential relationships for implicit influence maximization in unknown networks

  WU, S. & XU, G., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Influence Maximization 100%
  • Influence Maximization Problem 100%
  • Unknown Network 100%
  • Influence Probability 75%
  • Probability Estimator 50%

• Leveraging artificial intelligence for affordable and clean energy: Advancing UN Sustainable Development Goal 7

  HANNA, B., XU, G., WANG, X. & HOSSAIN, J., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Artificial Intelligence 100%
  • Optimization Model 100%
  • Grid Stability 33%
  • Transport Electrification 33%
  • Renewable Energy Forecasting 33%

• Modeling behavior change for multi-model at-risk students early prediction

  CHENG, J., YANG, Z.-Q., CAO, J., YANG, Y., POON, K. C. F. & LAI, D., 2024, Proceedings of 2024 International Symposium on Educational Technology, ISET 2024. USA: IEEE, p. 54-58

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Behavior Change 100%
  • Multi-model 100%
  • Students At-risk 100%
  • Early Prediction 100%
  • Modeling Behavior 100%
  1 Citation (Scopus)

• Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction

  YU, D., GUO, G., WANG, D., ZHANG, H., LI, B., XU, G. & DENG, S., Oct 2024, In: Expert Systems with Applications. 252, Part B, 124187.

  Research output: Contribution to journal › Articles › peer-review

  • Traffic Flow Prediction 100%
  • Dynamic Spatio-temporal Correlations 100%
  • Spatiotemporal Transition 100%
  • Traffic System 25%
  • Sliding Time Window 25%
  2 Citations (Scopus)

• Modeling multi-behavior sequence via HyperGRU contrastive network for micro-video recommendation

  GU, P., HU, H. & XU, G., Jul 2024, In: Knowledge-Based Systems. 295, 111841.

  Research output: Contribution to journal › Articles › peer-review

  • Contrastive Network 100%
  • Micro-video Recommendation 100%
  • Interest Representation 100%
  • Action-Type 100%
  • Negative Interest 50%
  4 Citations (Scopus)

• Multi-level graph knowledge contrastive learning

  YANG, H., WANG, Y., ZHAO, X., CHEN, H., YIN, H., LI, Q. & XU, G., Dec 2024, In: IEEE Transactions on Knowledge and Data Engineering. 36, 12, p. 8829-8841

  Research output: Contribution to journal › Articles › peer-review

  • Graph Knowledge 100%
  • Multilevel Graphs 100%
  • Knowledge Graph 100%
  • Graph Contrastive Learning 75%
  • Storage Demand 25%
  1 Citation (Scopus)

• Multistage graph convolutional network with spatial attention for multivariate time series imputation

  CHEN, Q., CAO, J., YANG, Y., LIN, W., WANG, S. & WANG, Y., Nov 2024, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems.

  Research output: Contribution to journal › Articles › peer-review

  Open Access

  • Health Monitoring 100%
  • Convolutional Neural Network 100%
  • Imputation Method 100%
  • File Format 100%
  • Multistage Graphs 100%
  1 Citation (Scopus)

• Multi-view GCN for loan default risk prediction

  LI, Z., CHEN, Y., WANG, X., YAO, L. & XU, G., Jul 2024, In: Neural Computing and Applications. 36, p. 12149-12162

  Research output: Contribution to journal › Articles › peer-review

  Open Access

  • Loan Default 100%
  • Loan Application 100%
  • Application Graph 100%
  • Application Graphs 66%
  • Imbalanced Distribution 66%

• Neural Causal Graph collaborative filtering

  WANG, X., LI, Q., YU, D., HUANG, W., LI, Q. & XU, G., Aug 2024, In: Information Sciences. 677, 120872.

  Research output: Contribution to journal › Articles › peer-review

  Open Access

  • Causal Graph 100%
  • Graph Filters 100%
  • Precise Recommendation 12%
  • Network-based Methods 12%
  • Suboptimal Performance 12%
  5 Citations (Scopus)

• Speech emotion recognition using Mel spectrogram HPCA and variational mode decomposition

  RUDD, D. H., GAO, X., ISLAM, M. R., HUO, H. & XU, G., 2024, Proceedings of the 2024 IEEE International Conference on Behavioural and Social Computing (BESC-2024). USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Variational Mode Decomposition 100%
  • Harmonics 100%
  • Acoustic Feature 50%
  • Robust Classification 25%
  • Acoustic Feature Extraction 25%

• Strategies for evaluating visual analytics systems: A systematic review and new perspectives

  ISLAM, M. R., AKTER, S., ISLAM, L., RAZZAK, I., WANG, X. & XU, G., Jan 2024, In: Information Visualization. 23, 1, p. 84-101

  Research output: Contribution to journal › Articles › peer-review

  • Visual Analytics System 100%
  • Application Domain 33%
  • Evaluation Methodology 33%
  • Evaluation Goal 33%
  • Information Synthesis 33%
  2 Citations (Scopus)

• STS2ANet: Spatio-temporal synchronized sliding attention network for accurate cross-day origin-destination prediction

  WANG, H., XIA, J., YANG, Y., WANG, S. & CAO, J., 2024, Database systems for advanced applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 2–5, 2024, Proceedings, Part I. ONIZUKA, M., LEE, J.-G., TONG, Y., XIAO, C., ISHIKAWA, Y., AMER-YAHIA, S., JAGADISH, H. V. & LU, K. (eds.). Singapore: Springer, p. 186-202

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Divergence 100%
  • Spatiotemporal 100%
  • Traffic Flow 100%
  • Attention Network 100%
  • Origin-destination Estimation 100%

• Temporal diversity-aware micro-video recommendation with long- and short-term interests modeling

  GU, P., HU, H., WANG, D., YU, D. & XU, G., Jun 2024, In: Neural Processing Letters. 56, 194.

  Research output: Contribution to journal › Articles › peer-review

  Open Access

  • Temporal Diversity 100%
  • Diversity-aware 100%
  • Interest Modeling 100%
  • Click Behavior 50%
  • Behavior Pattern 50%

• Toward structure fairness in dynamic graph embedding: A trend-aware dual debiasing approach

  LI, Y., YANG, Y., CAO, J., LIU, S., TANG, H. & XU, G., 25 Aug 2024, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024. New York, United States: Association for Computing Machinery, p. 1701-1712

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  Open Access

  • Dynamic Graph Embedding 100%
  • Evolution 100%
  • Power Law 100%
  • Evolutionary Term 100%
  • Embedding Performance 66%

• Understanding impacts of electromagnetic signal injection attacks on object detection

  ZHANG, Y., YANG, C., FU, Y. E., JIANG, Q., YAN, C., CHAU, S.-Y., NGAI, G., LEONG, H.-V., LUO, X. & XU, W., 2024, (E-pub ahead of print) Proceeding of 2024 IEEE International Conference on Multimedia and Expo, ICME 2024. New York, USA: IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Signal Injection Attack 100%
  • Electromagnetic Signal 100%
  • Image Sensor 50%
  • Noisy-OR 50%
  • Electromagnetic Interference 50%