International Conference Publications

- 2025 -

1. [NeurIPS'25] W. An, Y. Liu, F. Shang, H. Yu, J. Liu & H. Liu, "Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.

2. [NeurIPS'25] W. Zhuo, Z. Zhan & H. Yu, "Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.

3. [NeurIPS'25] X. Tang, H. Yu & X. Li, "A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.

4. [NeurIPS'25] Y. Zhang, H. Zhu, J. Dong, H. Shi, Z. Meng, P. Koniusz & H. Yu, "CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.

5. [NeurIPS'25] Z. Qi, Y. Pan, L. Meng, S. Zhou, H. Yu, X. Li & X. Meng, "Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.

6. [NeurIPS'25] Z. Qi, Y. Tang, L. Meng, H. Yu, X. Li & X. Meng, "Class-wise Balancing Data Replay for Federated Class-Incremental Learning," in Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS'25), 2025.  (Oral paper, top 1.5% of NeurIPS'25 papers)

7. [ICCV'25] L. Yi, H. Yu, G. Wang, X. Liu & X. Li, "Federated Representation Angle Learning," in Proceedings of the 2025 International Conference on Computer Vision (ICCV'25), 2025.

8. [ICCV'25] Q. Liu, J. Li, Y. Liu, Y. Jin, L. Lyu, X. Wu & H. Yu, "Personalized Federated Learning under Local Supervision," in Proceedings of the 2025 International Conference on Computer Vision (ICCV'25), 2025.

9. [IJCAI'25] Z. Qi, S. Zhou, L. Meng, H. Hu, H. Yu & X. Meng, "Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization," in Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI'25), 2025.

10. [KDD'25] J. Zhang, L. Feng, X. Guo, H. Yu, Y. Dong & D. Xu, "Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification," in Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25), pp. 3764–3773, 2025.

11. [KDD'25] Y. Chen, Y. Tao, Y. Jiang, S. Liu, H. Yu & G. Cong, "Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization," in Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25), pp. 262–273, 2025.

12. [ICML'25] X. Tang, H. Yu, Z. Li & X. Li, "Multi-Session Budget Optimization for Forward Auction-based Federated Learning," in Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.

13. [ICML'25] Y. Tang, C. Ren, X. Tang, S. Huang, L. Cui & H. Yu, "Efficient Heterogeneity-Aware Federated Active Data Selection," in Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.

14. [ICML'25] M. Chen, X. Wu, Q. Liu, T. He, Y.-S. Ong, Y. Jin, Q. Lao & H. Yu, "Voronoi-grid-based Pareto Front Learning and its Application to Collaborative Federated Learning," in Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.

15. [ICML'25] W. Zhuo, H. Yu, G. Tan & X. Li, "Commute Graph Neural Networks," in Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.

16. [IJCNN'25] L. Zhao, A. Z. Tan, S. Feng, H. Yu, T. Deng, Y. Chen, F. Wu & M. Song, "Representative-exploring Replay for Online Class-Incremental Continual Learning," in Proceedings of the 2025 International Joint Conference on Neural Networks (IJCNN'25), 2025.

17. [ICME'25] L. Wu, Y. Jin, K. Hao & H. Yu, "Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients," in Proceedings of the 2025 IEEE International Conference on Multimedia and Expo (ICME'25), 2025.

18. [ICME'25] S. Zhang, L. Kong, Y. Zhang, W. He, Y. Zheng, H. Yu & L. Cui, "DAG-AFL: Directed Acyclic Graph-based Asynchronous Federated Learning," in Proceedings of the 2025 IEEE International Conference on Multimedia and Expo (ICME'25), 2025.

19. [CVPR'25] Y. Zhang, H. Zhu, A. Z. Tan, D. Yu, L. Huang & H. Yu, "pFedMixF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation," in Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'25), pp. 30640–30650, 2025. 

20. [ICDE'25] L. Yi, H. Yu, G. Wang, X. Liu & X. Li, "pFedAFM: Adaptive Feature Mixture for Data-Level Personalization in Heterogeneous Federated Learning on Mobile Edge Devices," in Proceedings of the 41st IEEE International Conference on Data Engineering (ICDE'25), pp. 1981–1994, 2025.

21. I. King, G. Long, Z. Xu, Y. Zhang & H. Yu, "FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web," in Companion Proceedings of the ACM on Web Conference 2025 (WWW Companion'25), 2025.

22. [ICLR'25] M. Chen, R. Jin, W. Deng, Y. Chen, Z. Huang, H. Yu & X. Li, "Can Textual Gradient Work in Federated Learning?," in Proceedings of the 13th International Conference on Learning Representations (ICLR'25), 2025.

23. [AAAI-25] X. Tang & H. Yu, "Reputation-aware Revenue Allocation for Auction-based Federated Learning," in Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25), pp. 20832–20840, 2025.

24. [AAAI-25] L. Yi, H. Yu, C. Ren, G. Wang, X. Liu & X. Li, "pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning," in Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25), pp. 22146–22154, 2025.

25. [AAAI-25] X. Guo, K. Yu, L. Cui, H. Yu & X. Li, "Federated Causally Invariant Feature Learning," in Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25), pp. 16978–16986, 2025.

26. [IAAI-25] Q. Ye, G. Yu, J. Liu, E. Chen, C. Dong, X. Lin, Z. Liu, H. Yu & T. Ruan, "IMQC: A Large Language Model Platform for Medical Quality Control," in Proceedings of the 37th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-25), pp. 28810–28818, 2025. (Innovative Application of AI Award, NTU News Release)

- 2024 -

27. [NeurIPS'24] L. Yi, H. Yu, C. Ren, G. Wang, X. Liu & X. Li, "Federated Model Heterogeneous Matryoshka Representation Learning," in Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS'24), pp. 66431–66454, 2024.

28. [NeurIPS'24] M. Chen, X. Wu, X. Tang, T. He, Y.-S. Ong, Q. Liu, Q. Lao & H. Yu, "Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning," in Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS'24), pp. 54974–55004, 2024.

29. [IJCAI'24] X. Tang, H. Yu, X. Li & S. Kraus, "Intelligent Agents for Auction-based Federated Learning: A Survey," in Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), pp. 8253–8261, 2024.

30. [IJCAI'24] X. Tang, H. Yu, Z. Li & X. Li, "A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning," in Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), pp. 4991–4999, 2024.

31. [IJCAI'24] X. Tang, H. Yu, R. Tang, C. Ren, A. Li & X. Li, "Dual Calibration-based Personalised Federated Learning," in Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), pp. 4982–4990, 2024.

32. [IJCAI'24] L. Yi, H. Yu, Z. Shi, G. Wang, X. Liu, L. Cui & X. Li, "FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning," in Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), pp. 5371–5379, 2024.

33. [IJCAI'24] X. Guo, K. Yu, H. Wang, L. Cui, H. Yu & X. Li, "Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection," in Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), pp. 4071–4079, 2024.

34. [ICML'24] H. Peng, H. Yu, X. Tang & X. Li, "FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler," in Proceedings of the 41st International Conference on Machine Learning (ICML'24), pp. 40331–40346, 2024.

35. [ICML'24] P. Xing, S. Lu & H. Yu, "Federated Neuro-Symbolic Learning," in Proceedings of the 41st International Conference on Machine Learning (ICML'24), pp. 54635–54655, 2024.

36. [SIGIR'24] J. Zhang, Q. Yu, Y. Chen, G. Zhou, Y. Sun, C. Liang, Y. Liu, G. Huzhang, Y. Ni, A. Zeng & H. Yu, "An E-Commerce Dataset Revealing Variations during Sales," in Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'24), pp. 1162–1171, 2024.

37. [ICME'24] A. Z. Tan, S. Feng & H. Yu, "FL-CLIP: Bridging Plasticity and Stability in Pre-Trained Federated Class-Incremental Learning Models," in Proceedings of the 2024 IEEE International Conference on Multimedia and Expo (ICME'24), 2024.

38. [ICME'24] Y. Gao, Z. Hou, C. Yang, Z. Li, H. Yu & X. Li, "The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models," in Proceedings of the 2024 IEEE International Conference on Multimedia and Expo (ICME'24), 2024.

39. [ICME'24] X. Tang, H. Yu & X. Li, "Agent-oriented Joint Decision Support for Data Owners in Auction-based Federated Learning," in Proceedings of the 2024 IEEE International Conference on Multimedia and Expo (ICME'24), 2024.

40. [ICME'24] Q. Li, X. Tang, S. Zhou, H. Yu, H. Song, L. Cui & X. Li, "FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding through Randomization," in Proceedings of the 2024 IEEE International Conference on Multimedia and Expo (ICME'24), 2024.

41. [ICME'24] Z. Xiong, Y. Zhang, Z. Shen, P. Ren & H. Yu, "Multi-modal Learnable Queries for Image Aesthetics Assessment," in Proceedings of the 2024 IEEE International Conference on Multimedia and Expo (ICME'24), 2024.

42. [IJCNN'24] Y. Zhao, S. Zhou, Y. Gao & H. Yu, "A Fair Incentive Mechanism for Federated Auctioning Networks," in Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN'24), 2024.

43. [IJCNN'24] X. Tang & H. Yu, "Multi-Session Multi-Objective Budget Optimization for Auction-Based Federated Learning," in Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN'24), 2024.

44. [IJCNN'24] X. Tan & H. Yu, "Hire When You Need to: Gradual Participant Recruitment for Auction-Based Federated Learning," in Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN'24), 2024.

45. [IJCNN'24] Q. Li, J. Chen, X. Tang, H. Yu & H. Song, "Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process," in Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN'24), 2024.

46. [SIGMOD'24] A. Li, Y. Chen, M. Cheng, Y. Huang, J. Zhang, Y. Wu, A. T. Luu & H. Yu, "Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning," the 2024 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD'24), 2024.

47. [SIGMOD'24] A. Li, Y. Cao, J. Guo, H. Peng, Q. Guo & H. Yu, "FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning," the 2024 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD'24), 2024.

48. [ICC'24] C. Ren, M. Xu, H. Yu, Z. Xiong, Z. Zhang & D. Niyato, "Variational Quantum Circuit and Quantum Key Distribution-based Quantum Federated Learning: A Case of Smart Grid Dynamic Security Assessment," in Proceedings of the 2024 IEEE International Conference on Communications (ICC’24), 2024.

49. I. King, G. Long, Z. Xu & H. Yu, "FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web," in Companion Proceedings of the ACM on Web Conference 2024 (WWW Companion'24), pp. 1546–1547, 2024.

50. [ICASSP'24] Y. Shi & H. Yu, "Fairness-Aware Job Scheduling for Multi-Job Federated Learning," in Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’24), 2024.

51. [ICASSP'24] Z. Deng & H. Yu, "Noise-Resistant Graph Neural Network for Node Classification," in Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’24), 2024.

52. [ICASSP'24] Z. Xiong, Y. Zhang, Z. Shen, P. Ren & H. Yu, "Image Aesthetics Assessment via Learnable Queries," in Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’24), 2024.

53. [AAAI-24] Y. Zhang & H. Yu, "LR-XFL: Logical Reasoning-based Explainable Federated Learning," in Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), pp. 21788–21796, 2024.

54. [AAAI-24] S. Tan, H. Cheng, X. Wu, H. Yu, T. He, Y.-S. Ong, C. Wang & X. Tao, "FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants," in Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), pp. 15231–15239, 2024.

55. [AAAI-24] C. Su, G. Yu, J. Wang, H. Li, Q. Li & H. Yu, "Multi-Dimensional Fair Federated Learning," in Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), pp. 22770–22778, 2024.

56. [IAAI-24] C. Liu, P. Hou, A. Zeng & H. Yu, "Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce," in Proceedings of the 36th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-24), pp. 22770–22778, 2024. (Innovative Application of AI Award, NTU News Release)

57. [IAAI-24] H. Sun, X. Tang, C. Yang, Z. Yu, X. Wang, Q. Ding, Z. Li & H. Yu, "HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation," in Proceedings of the 36th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-24), pp. 22824–22832, 2024. (Innovative Application of AI Award)

58. [IAAI-24] Y. Shi, L. Cheng, C. Jiang, H. Zhang, G. Li, X. Tang, H. Yu, Z. Shen & C. Leung, "IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment," in Proceedings of the 36th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-24), pp. 22815–22823, 2024. (Innovative Application of AI Award)

59. W. Lu, J. Wang, H. Yu, L. Huang, X. Zhang, Y. Chen & X. Xie, "FIXED: Frustratingly Easy Domain Generalization with Mixup," in Proceedings of the 2024 Conference on Parsimony and Learning (CPAL'24), 2024.

- 2023 -

60. [NeurIPS'23] Y. Chen, A. Zeng, Q. Yu, K. Zhang, Y. Cao, K. Wu, G. Huzhang, H. Yu & Z. Zhou, "Recurrent Temporal Revision Graph Networks," in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS'23), pp.  69348–69360, 2023.

61. K. Hu, R. Liu & H. Yu, "Horizontal Federated Learning for Brain-Computer Interface," in Proceedings of the 5th Distributed Artificial Intelligence Conference (DAI'23), 2023.

62. [ACM MM'23] L. Yi, G. Wang, X. Liu, Z. Shi & H. Yu, "FedGH: Heterogeneous Federated Learning with Generalized Global Header," in Proceedings of the 31st ACM International Conference on Multimedia (ACM MM'23), pp. 8686–8696, 2023.

63. Z. Ye, Y. Gao, Y. Xiao, M. Xu, H. Yu & D. Niyato, "Smart Healthcare with Hybrid Mobile Edge-Quantum Computing: Dynamic Computation Offloading for Latency Improvement," in Proceedings of the IEEE 98th Vehicular Technology Conference (VTC'23-Fall), 2023.

64. [ECAI'23] Y. Ma, Y. Chen, H. Yu, Y. Gu, S. Wen & S. Guo, "Letting Go of Self-Domain Awareness: Multi-Source Domain-Adversarial Generalization via Dynamic Domain-Weighted Contrastive Transfer Learning," in Proceedings of the 26th European Conference on Artificial Intelligence (ECAI'23), 2023.

65. [IJCAI'23] X. Tang & H. Yu, "Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning," in Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), pp. 4262–4270, 2023. (Best Poster Runner-Up Award, KDDSG)

66. [IJCAI'23] Y. Chen, Z. Chen, P. Wu & H. Yu, "FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning," in Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), pp. 3541–3549, 2023.

67. [SIGIR'23] J. Wang, Y. Shi, H. Yu, X. Wang, Z. Yan & F. Kong, "Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation," in Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23), pp. 372–382, 2023.

68. [ICME’23] Y. Shi, Z. Liu, Z. Shi & H. Yu, "Fairness-Aware Client Selection for Federated Learning," in Proceedings of the 2023 IEEE International Conference on Multimedia and Expo (ICME’23), pp. 324–329, 2023. (Best Poster Award, KDDSG)

69. [ICME’23] X. Tang & H. Yu, "Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning," in Proceedings of the 2023 IEEE International Conference on Multimedia and Expo (ICME’23), pp. 330–335, 2023.

70. [ICME’23] Z. Xiong, H. Yu & Z. Shen, "Federated Learning-based Personalized Image Aesthetics Assessment," in Proceedings of the 2023 IEEE International Conference on Multimedia and Expo (ICME’23), pp. 336–341, 2023.

71. [ICME’23] Y. Gao, Y. Zhao & H. Yu, "Multi-Tier Client Selection for Mobile Federated Learning Networks," in Proceedings of the 2023 IEEE International Conference on Multimedia and Expo (ICME’23), pp. 666–671, 2023.

72. R. Kaewpuang, M. Xu, S. J. Turner, D. Niyato, H. Yu & D. I. Kim, "Entangled Pair Resource Allocation under Uncertain Fidelity Requirements," in Proceedings of the 31st Biennial Symposium on Communications (BSC'23), 2023.

73. [ICWS'23] Z. Shi, Z. Yao, L. Yi, H. Yu, L. Zhang & X.-Y. Li, "FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness," in Proceedings of the 2023 IEEE International Conference on Web Services (ICWS'23), pp. 152–160, 2023. 

74. [ICWS'23] S. Wang, Q. Li, L. Cui, Y. Jiang, Z. Shen & H. Yu, "CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers," in Proceedings of the 2023 IEEE International Conference on Web Services (ICWS'23), pp. 161–169, 2023. (C-FAIR News Release)

75. [IJCNN'23] X. Tan, W. Y. B. Lim, D. Niyato & H. Yu, "Reputation-Aware Opportunistic Budget Optimization for Auction-based Federation Learning," in Proceedings of the 2023 International Joint Conference on Neural Networks (IJCNN'23), doi:10.1109/IJCNN54540.2023.10191418, 2023.

76. [INFOCOM'23] A. Li, H. Peng, L. Zhang, J. Huang, Q. Guo, H. Yu & Y. Liu, "FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning," in Proceedings of the 2023 IEEE International Conference on Computer Communications (INFOCOM'23), doi:10.1109/INFOCOM53939.2023.10228895, 2023.

77. [NOMS'23] R. Kaewpuang, M. Xu, D. Niyato, H. Yu, Z. Xiong & J. Kang, "Stochastic Qubit Resource Allocation for Quantum Cloud Computing," in Proceedings of the 36th IEEE/IFIP Network Operations and Management Symposium (NOMS'23), doi:10.1109/NOMS56928.2023.10154430, 2023.

78. [WWW'23] Y. Chen, G. Huzhang, Q. Yu, H. Sun, H.-Y. Li, J. Li, Y. Ni, A. Zeng, H. Yu & Z. Zhou, "Clustered Embedding Learning for Large-scale Recommender Systems," in Proceedings of the ACM Web Conference 2023 (WWW'23), pp. 1074–1084, 2023.

79. R. Kaewpuang, M. Xu, D. Niyato, H. Yu, Z. Xiong & S. Shen, "Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning," in Proceedings of the 2023 International Conference on Computing, Networking and Communications (ICNC'23), pp. 71–76, 2023.

80. [IAAI-23] Y. Chen, Z. Chen, S. Guo, Y. Zhao, Z. Liu, P. Wu, C. Yang, Z. Li & H. Yu, "Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout," in Proceedings of the 35th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-23), pp. 15485–15493, 2023. (Innovative Application of AI Award, ENN News Release, NTU News Release, UCSB News Release)

81. Z. Q. Liew, H. Du, W. Y. B. Lim, Z. Xiong, D. Niyato & H. Yu, "Economics of Semantic Communication in Metaverse: An Auction Approach," in Proceedings of the 20th IEEE Consumer Communications & Networking Conference (CCNC'23), pp. 398–403, 2023.

- 2022 -

82. [EMNLP'22] X. Guo, B. Li & H. Yu, "Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation," in Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP'22), pp. 3523–3537, 2022.

83. [GLOBECOM'22] M. Xu, W. C. Ng, D. Niyato, H. Yu, C. Miao, D. I. Kim & S. Shen, "Stochastic Resource Allocation in Quantum Key Distribution for Secure Federated Learning," in Proceedings of the 2022 IEEE Global Communications Conference (GLOBECOM'22), pp. 4377–4382, 2022.

84. [GLOBECOM'22] Y. Gao, Z. Ye, H. Yu, Z. Xiong, Y. Xiao & D. Niyato, "Multi-Resource Allocation for On-Device Distributed Federated Learning Systems," in Proceedings of the 2022 IEEE Global Communications Conference (GLOBECOM'22), pp. 160–165, 2022.

85. [ACM MM'22] X. Cao, Y. Shi, J. Wang, H. Yu, X. Wang & Z. Yan, "Cross-modal Knowledge Graph Contrastive Learning for Machine Learning Method Recommendation," in Proceedings of the 30th ACM Multimedia Conference (ACM MM'22), pp. 3694–3702, 2022.

86. J. Qu, R. W. Liu, J. Nie, X. Deng, Z. Xiong, Y. Zhang, H. Yu & D. Niyato, "Edge Computing-Enabled Multi-Sensor Data Fusion for Intelligent Surveillance in Maritime Transportation Systems," in Proceedings of the 20th IEEE International Conference on Dependable, Autonomic & Secure Computing (DASC'22), doi:10.1109/DASC/PiCom/CBDCom/Cy55231.2022.992799, 2022.

87. [IJCAI'22] Y. Zhang & H. Yu, "Towards Verifiable Federated Learning," in Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI'22), pp. 5686–5693, 2022.

88. J. Zhang & H. Yu, "A Methodological Framework for Facilitating Explainable AI Design," in Proceedings of the 14th International Conference on Social Computing and Social Media (SCSM’22), pp. 437–446, 2022.

89. Y. Loh, Z. Chen, Y. Zhao & H. Yu, "FLAS: A Platform for Studying Attacks on Federated Learning," in Proceedings of the 14th International Conference on Social Computing and Social Media (SCSM’22), pp. 160–169, 2022.

90. [DASFAA-22] S. Zeng, Z. Li, H. Yu, Y. He, Z. Xu, D. Niyato & H. Yu, "Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training," in Proceedings of the 27th International Conference on Database Systems for Advanced Applications (DASFAA-22), pp. 455–471, 2022.

91. [AAAI-22] D. Feng, C. Helena, W. Y. B. Lim, J. S. Ng, H. Jiang, Z. Xiong, J. Kang, H. Yu, D. Niyato & C. Miao, "CrowdFL: A Marketplace for Crowdsourced Federated Learning," in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), pp. 13164–13166, 2022.

92. [AAAI-22] X. R. Z. Ho, W. Y. B. Lim, H. Jiang, J. S. Ng, H. Yu, Z. Xiong, D. Niyato & C. Miao, "Dynamic Incentive Mechanism Design for COVID-19 Social Distancing," in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), pp. 13173–13175, 2022.

93. [IAAI-22] Z. Liu, Y. Chen, Y. Zhao, H. Yu, Y. Liu, R. Bao, J. Jiang, Z. Nie, Q. Xu & Q. Yang, "Contribution-Aware Federated Learning for Smart Healthcare," in Proceedings of the 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22), pp. 12396–12404, 2022. (Innovative Application of AI Award, Wechat Article, Demo, Video)

94. [IAAI-22] X. Guo, S. Wang, H. Zhao, S. Diao, J. Chen, Z. Ding, Z. He, Y. Xiao, B. Long, H. Yu & L. Wu, "Intelligent Online Selling Point Extraction for E-Commerce Recommendation," in Proceedings of the 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22), pp. 12360–12368, 2022. (Innovative Application of AI Award, Wechat Article)

95. [IAAI-22] X. Zhang, Y. Zou, H. Zhang, J. Zhou, S. Diao, J. Chen, Z. Ding, Z. He, X. He, Y. Xiao, B. Long, H. Yu & L. Wu, "Automatic Product Copywriting for E-Commerce," in Proceedings of the 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22), pp. 12423–12431, 2022. (Innovative Application of AI Award, Wechat Article)

96. [IAAI-22] H.-Y. Li, Y. Ni, A. Zeng, H. Yu & C. Miao, "Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce," in Proceedings of the 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22), pp. 12387–12395, 2022. (Innovative Application of AI Award)

- 2021 -

97. [CIKM'21] H. Yang, T. Wang, X. Tang, Q. Li, Y. Shi, S. Jiang, H. Yu & H. Song, "Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising," in Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM’21), pp. 2291–2300, 2021.

98. [IJCAI'21] H. Z. C. Teng, H. Jiang, X. R. Z. Ho, W. Y. B. Lim, J. S. Ng, H. Yu, Z. Xiong, D. Niyato & C. Miao, "Predictive Analytics for COVID-19 Social Distancing," in Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI’21), pp. 5016–5019, 2021.

99. P. S. Kyaw & H. Yu, "Personalised Federated Learning: A Combinational Approach," in Proceedings of the 1st International Student Conference on Artificial Intelligence (STCAI’21), 2021. (Best Paper Award)

100. Y. Shu, J. Zhang & H. Yu, "Fairness in Design: A Tool for Guidance in Artificial Intelligence Design," in Proceedings of the 13th International Conference on Social Computing and Social Media (SCSM’21), pp. 500–510, 2021.

101. J. Zhang, Y. Shu & H. Yu, "Human-Machine Interaction for Autonomous Vehicles: A Review," in Proceedings of the 13th International Conference on Social Computing and Social Media (SCSM’21), pp. 190–201, 2021.

102. [SIGIR'21] X. Cao, Y. Shi, H. Yu, J. Wang, X. Wang, Z. Yan & Z. Chen, “DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation,” in Proceedings of the 44th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’21), pp. 203–212, 2021.

103. [ICME'21] C. Liu, H. Yu, Z. Shen, I. Dixon, Y. Yu, Z. Gao, P. Wang, P. Ren, X. Xie, L. Cui & C. Miao, "Enhancing Viewing Experience of Generated Visual Storylines for Promotional Videos," in Proceedings of the 2021 IEEE International Conference on Multimedia and Expo (ICME'21), pp. 1–6, 2021. (Online Deployment at Alicloud, Video)

104. [CVPR'21] C. Liu, H. Yu, B. Li, Z. Shen, Z. Gao, P. Ren, X. Xie, L. Cui & C. Miao, "Noise-resistant Deep Metric Learning with Ranking-based Instance Selection," in Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'21), pp. 6811–6820, 2021. (PREMIA Best Student Paper Runners Up Award, AITechTalk)

105. [NAACL-HLT'21] X. Guo, B. Li, H. Yu & C. Miao, "Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection," in Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT'21), pp. 5394–5407, 2021. (PREMIA Best Presentation Award)

106. [AAAI-21] Y. Chen, B. Li, H. Yu, P. Wu & C. Miao, "HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks," in Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21), pp. 7081–7089, 2021. (Video Summary)

107. [AAAI-21] H. Jiang, W. Y. B. Lim, J. S. Ng, H. Z. C. Teng, H. Yu, Z. Xiong, D. Niyato & C. Miao, "AI-Empowered Decision Support for COVID-19 Social Distancing," in Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21), pp. 16044–16047, 2021.

108. [IAAI-21] A. Zeng, H. Yu, H. He, Y. Ni, Y. Li, J. Zhou & C. Miao, "Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank," in Proceedings of the 33rd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21), pp. 15214–15222, 2021. (Innovative Application of AI Award, Presentation Video)

- 2020 -

109. [BIBM'20] Q. Meng, L. Cui, G. Yu, H. Yu, W. Guo & H. Li, "CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment," in Proceedings of the 2020 International Conference on Bioinformatics and Biomedicine (BIBM’20), pp. 469–472, 2020.

110. [IJCAI'20] K. L. Ng, Z. Chen, Z. Liu, H. Yu, Y. Liu & Q. Yang, "A Multi-player Game for Studying Federated Learning Incentive Schemes," in Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI’20), pp. 5179–5281, 2020.

111. [IJCAI'20] H. J. Y. Wong, Z. Deng, H. Yu, J. Huang, C. Leung & C. Miao, "A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems," in Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI’20), pp. 5294–5296, 2020.

112. [IJCAI'20] C. Liu, Z. Y. Lim, H. Yu, Z. Shen, I. Dixon, Z. Gao, P. Wang, P. Ren, X. Xie, L. Cui & C. Miao, "An AI-empowered Visual Storyline Generator," in Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI’20), pp. 5267–5269, 2020. (Wechat Article)

113. [AAAI-20] C. Liu, H. Yu, Y. Dong, Z. Shen, Y. Yu, I. Dixon, Z. Gao, P. Wang, P. Ren, X. Xie, L. Cui & C. Miao, "Generating Engaging Promotional Videos for E-commerce Platforms," in Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20), pp. 13865–13866, 2020.

114. [AAAI-20] Z. Deng, A. Tu, Z. Liu & H. Yu, "Efficient Spatial-Temporal Rebalancing of Shareable Bikes," in Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20), pp. 13775–13776, 2020.

115. [IAAI-20] A. Zeng, H. Yu, Q. Da, Y. Zhan & C. Miao, "Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection," in Proceedings of the 32nd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-20), pp. 13212–13219, 2020. (Innovative Application of AI Award, 今日头条)

116. [IAAI-20] Y. Zheng, H. Yu, Y. Shi, K. Zhang, S. Zhen, L. Cui, C. Leung & C. Miao, "PIDS: An Intelligent Electric Power Management Platform," in Proceedings of the 32nd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-20), pp. 13220–13227, 2020. (Innovative Application of AI Award, Leiphone.com, 山东大学新闻网, 新浪)

117. [IAAI-20] Y. Liu, A. Huang, Y. Luo, H. Huang, Y. Liu, Y. Chen, L. Feng, T. Chen, H. Yu & Q. Yang, "FedVision: An Online Visual Object Detection Platform powered by Federated Learning," in Proceedings of the 32nd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-20), pp. 13172–13179, 2020. (Innovative Application of AI Award, Wechat Article, Leiphone.com)

118. [AIES-20] H. Yu, Z. Liu, Y. Liu, T. Chen, M. Cong, X. Weng, D. Niyato & Q. Yang, "A Fairness-aware Incentive Scheme for Federated Learning," in Proceedings of the 3rd AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-20), pp. 393–399, 2020.

- 2019 -

119. [IEEE BigData'19] D. Gao, Y. Liu, A. Huang, C. Jiu, H. Yu & Q. Yang, "Privacy-preserving Heterogeneous Federated Transfer Learning," in Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData’19), pp. 2552–2559, 2019.

120. Y. Dong, C. Liu, Z. Shen, Z. Gao, P. Wang, C. Zhang, P. Ren, X. Xie, H. Yu & Q. Huang, "Domain Specific and Idiom Adaptive Video Summarization," in Proceedings of the 1st ACM International Conference on Multimedia in Asia (MM Asia’19), pp. 49:1–49:6, 2019. 

121. [CIKM’19] C. Liu, Y. Dong, H. Yu, Z. Shen, Z. Gao, P. Wang, C. Zhang, P. Ren, X. Xie, L. Cui & C. Miao, "Generating Persuasive Visual Storylines for Promotional Videos," in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19), pp. 901–910, 2019. (C-FAIR report)

122. [CIKM’19] T. Wang, J. Zhao, H. Yu, J. Liu, X. Yang, X. Ren & S. Shi, "Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas," in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19), pp. 1311–1320, 2019.

123. [ACM MM’19] Y. Dong, C. Liu, Z. Shen, Z. Gao, P. Wang, C. Zhang, P. Ren, X. Xie & H. Yu, "Personalized Video Summarization with Idiom Adaptation," in Proceedings of the 27th ACM Multimedia Conference (ACM MM’19), pp. 1041–1043, 2019. 

124. J. Kang, Z. Xiong, D. Niyato, H. Yu, Y.-C. Liang & D. I. Kim, "Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach," in Proceedings of the 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS'19), pp. 1–5, 2019. (2023 Best Influential Conference Paper Award)

125. J. W. Kong, Y. Xu & H. Yu, "Deep Transfer Learning for Abnormality Detection," in Proceedings of the 4th International Conference on Crowd Science and Engineering (ICCSE’19), pp. 233–237, 2019. 

126. [IJCAI’19] H. Yu, Y. Liu, X. Wei, C. Zheng, T. Chen, Q. Yang & X. Peng, "Fair and Explainable Dynamic Engagement of Crowd Workers," in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), pp. 6575–6577, 2019. (Innovation Award, China.com report, 163.com report, bbgtime)

127. [IJCAI’19] X. Wei, Q. Li, Y. Liu, H. Yu, T. Chen & Q. Yang, "Multi-Agent Visualization for Explaining Federated Learning," in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), pp. 6572–6574, 2019. (Baidu.com)

128. [IJCAI’19] A. Zeng, H. Yu, X. Gao, K. Ou, Z. Huang, P. Hou, M. Song, J. Zhang & C. Miao, "An Online Intelligent Visual Interaction System," in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), pp. 6578–6580, 2019.

129. [IJCAI’19] Y. Zheng, H. Yu, K. Zhang, Y. Shi, C. Leung & C. Miao, "Intelligent Decision Support for Improving Power Management," in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), pp. 6587–6589, 2019.

130. [IJCAI’19] X. Guo, H. Yu, C. Miao & Y. Chen, "Agent-based Decision Support for Pain Management in Primary Care Settings," in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), pp. 6521–6523, 2019.

131. Q. Li, H. Lin, X. Wei, Y. Liu, R. Lin, H. Yu, T. Chen & Q. Yang, "Learning Federated Learning," the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), 2019. (Most Educational Video Award, 163.com report)

132. [ICME’19] J. Wang, Y. Chen, H. Yu, M. Huang & Q. Yang, "Easy Transfer Learning by Exploiting Intra-domain Structures," in Proceedings of the 2019 IEEE International Conference on Multimedia and Expo (ICME'19), pp. 1210–1215, 2019.

133. [AAMAS’19] Z. Liu, H. Yu, L. Wang, L. Hu & Q. Yang, "Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes," in Proceedings of the 18th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS’19), pp. 2099–2101, 2019.

134. [AAMAS’19] H. Yu, Z. Shen, L. Cui, Y. Zheng & V. R. Lesser, "Ethically Aligned Sacrifice Coordination to Enhance Social Welfare," in Proceedings of the 18th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS’19), pp. 2300–2302, 2019.

135. [AAAI-19] Z. Liu, H. Yu, L. Wang, L. Hu & Q. Yang, "Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes," in Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), pp. 9983–9984, 2019. (Student Abstract Competition Finalist)

136. [AIES-19] H. Yu, C. Miao, Y. Zheng, L. Cui, S. Fauvel & C. Leung, "Ethically Aligned Opportunistic Scheduling for Productive Laziness," in Proceedings of the 2nd AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-19), pp. 45–51, 2019.

- 2018 -

137. [ACM MM'18] J. Wang, W. Feng, Y. Chen, H. Yu, M. Huang & P. S. Yu, "Visual Domain Adaptation with Manifold Embedded Distribution Alignment," in Proceedings of the 26th ACM Multimedia Conference (ACM MM'18), pp. 402–410, 2018. (Top 10 Papers)

138. S. Fauvel, H. Yu, C. Miao,  L. Cui, H. Song, L. Zhang, X. Li & C. Leung, "Artificial Intelligence Powered MOOCs: A Brief Survey," in Proceedings of the 3rd IEEE International Conference on Agents (ICA'18), pp. 56–61, 2018.

139. [IJCAI'18] H. Yu, Z. Shen, C. Miao, C. Leung, V. R. Lesser & Q. Yang, "Building Ethics into Artificial Intelligence," in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), pp. 5527–5533, 2018. (zhihu.com)

140. H. Yu, C. Miao, L. Cui, Y. Chen, S. Fauvel & Q. Yang, "Opportunistic Work-Rest Scheduling for Productive Aging," in Proceedings of the 10th International Conference on Social Computing and Social Media (SCSM’18), pp. 413–428, 2018. (Best Paper Award Nomination)

141. Y. Dong, H. Hu, Y. Wen, H. Yu & C. Miao, "Personalized Emotion-aware Video Streaming for the Elderly," in Proceedings of the 20th International Conference on Human-Computer Interaction (HCI'18), pp. 372–382, 2018.

142. [IAAI-18] Y. Zheng, H. Yu, L. Cui, C. Miao, C. Leung & Q. Yang, "SmartHS: An AI Platform for Improving Government Service Provision," in Proceedings of the 30th AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-18), pp. 7704–7711, 2018. (Innovative Application of AI Award)

- 2017 -

143. H. Zhang, C. Miao & H. Yu, "Fuzzy Logic based Assessment on the Adaptive Level of Rehabilitation Exergames for the Elderly," in Proceedings of the 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP'17), pp. 423–427, 2017.

144. H. Yu, Z. Shen, S. Fauvel & L. Cui, "Efficient Scheduling in Crowdsourcing based on Workers' Mood," in Proceedings of the 2nd IEEE International Conference on Agents (ICA'17), pp. 121–126, 2017.

145. Y. Dong, H. Hu, H. Yu & L. Zhang, "Towards Emotion Adaption in Multimedia Caring Services for the Elderly," in Proceedings of the 5th International Conference on Ageless Aging (ICAA'17), 2017.

146. W. Wang, H. Yu & C. Miao, "Deep Model for Dropout Prediction in MOOCs," in Proceedings of the 2nd International Conference on Crowd Science and Engineering (ICCSE'17), pp. 26–32, 2017.

147. L. Cui, X. Zhao, L. Liu, H. Yu & C. Miao, "Learning Complex Crowdsourcing Task Allocation Strategies from Humans," in Proceedings of the 2nd International Conference on Crowd Science and Engineering (ICCSE'17), pp. 33–37, 2017.

148. X. Min, Y. Shi, L. Cui, H. Yu & Y. Miao, "Efficient Crowd-Powered Active Learning for Reliable Review Evaluation," in Proceedings of the 2nd International Conference on Crowd Science and Engineering (ICCSE'17), pp. 136–143, 2017. (Best Poster Award)

149. [AAAI-17] H. Zhang, C. Miao, H. Yu & C. Leung, "A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly," in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17), pp. 5021–5022, 2017.

150. [IAAI-17] Z. Pan, H. Yu, C. Miao & C. Leung, "Crowdsensing Air Quality with Camera-enabled Mobile Devices," in Proceedings of the 29th AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-17), pp. 4728–4733, 2017.

- 2016 -

151. H. Yu, Z. Pan, C. Miao & C. Leung, "Crowd Computing for Population Aging Challenges," in Proceedings of the 1st International Conference on Crowd Science and Engineering (ICCSE'16), 2016.

152. J. Lin, H. Yu, Z. Pan, Z. Shen & L. Cui, "Towards Data-driven Software Engineering Skills Assessment," in Proceedings of the 1st International Conference on Crowd Science and Engineering (ICCSE'16), 2016. (Best Paper Award)

153. H. Lin, H. Yu, C. Miao & L. Qiu, "Towards Emotionally Intelligent Machines: Taking Social Contexts into Account," in Proceedings of the 8th International Conference on Social Computing and Social Media (SCSM'16), pp. 12–24, 2016. (Best Paper Award)

154. H. Yu, "Studying Efficient Management Strategies for Productive Aging through Serious Games," in Proceedings of the 9th World Congress on Active Ageing (WCAA'16), pp. 11–12, 2016.

155. C. Miao, C. Leung, Y. Chen & H. Yu, "Interactive Games for Active Ageing," in Proceedings of the 9th World Congress on Active Ageing (WCAA'16), pp. 11, 2016.

156. [AAMAS'16] S. Liu, Z. Shen, H. Yu, H. Lin, Z. Guo, Z. Pan, C. Miao & C. Leung, "A Kinect based Interactive Game to Improve the Selective Attention of the Elderly," in Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'16), pp. 1479–1481, 2016.

157. [AAMAS'16] C. Sun, Y. Shi, Q. Li, L. Cui, H. Yu & C. Miao, "A Hybrid Approach for Detecting Fraudulent Medical Insurance Claims," in Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'16), pp. 1287–1288, 2016.

158. [IAAI-16] H. Yu, C. Miao, Z. Shen, J. Lin, C. Leung & Q. Yang, "Infusing Human Factors into Algorithmic Crowdsourcing," in Proceedings of the 28th AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-16), pp. 4062–4063, 2016.

159. [AAAI-16] H. Yu, C. Miao, S. Liu, Z. Pan, N.S.B. Khalid, Z. Shen & C. Leung, "Productive Aging through Intelligent Personalized Crowdsourcing," in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. 4405–4406, 2016.

160. [AAAI-16] Z. Pan, H. Yu, C. Miao & C. Leung, "Efficient Collaborative Crowdsourcing," in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. 4248–4249, 2016. (Best Poster Award)

161. [AAAI-16] Z. Shen, H. Yu, C. Miao, S. Li & Y. Chen, "Multi-Agent System Development MADE Easy," in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. 4391–4392, 2016.

162. [AAAI-16] Y. Shi, C. Sun, Q. Li, L. Cui, H. Yu & C. Miao, "A Fraud Resilient Medical Insurance Claim System," in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. 4393–4394, 2016.

163. Z. Pan, H. Yu, C. Miao, C. Leung, Q. Yang, Z. Shen, Y. Chen, L. Cui, B. Huang, Y. Zhang, D. W. Q. Ng & K. K. Ong, "Artificial Intelligence for Liveable Cities," the 30th AAAI Conference on Artificial Intelligence (AAAI-16), 2016. (Best Video - People's Choice Award)

- 2015 -

164. [WI-IAT'15] Z. Pan, C. Miao, B.T.H. Tan, H. Yu & C. Leung, "Agent Augmented Inter-generational Crowdsourcing," in Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'15), pp. 237–238, 2015. (Best Demo Award)

165. [WI-IAT'15] Z. Pan, C. Miao, H. Yu, C. Leung & J.J. Chin, "The Effects of Familiarity Design on the Adoption of Wellness Games by the Elderly," in Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'15), pp. 387–390, 2015.

166. [WI-IAT'15] H. Lin, J. Hou, H. Yu, Z. Shen & C. Miao, "An Agent-based Game Platform for Exercising People's Prospective Memory," in Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'15), pp. 235–236, 2015.

167. [WI-IAT'15] B. Li, H. Yu, Z. Shen, L. Cui & V.R. Lesser, "An Evolutionary Framework for Multi-Agent Organizations," in Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'15), pp. 35–38, 2015.

168. [WI-IAT'15] S. Liu, C. Miao, Y. Liu, H. Yu, J. Zhang & C. Leung, "An Incentive Mechanism to Elicit Truthful Opinions for Crowdsourced Multiple Choice Consensus Tasks," in Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'15), pp. 96–103, 2015.

169. A. Borjigin, C. Miao, Z. Shen, H. Yu, S. F. Lim, T. H. Tan, Z. Zeng, Y. Guo, S. Fauvel, Y. Qiu, K. H. Pang & J. Ji, "Goal Oriented Teachable Agent in Virtual Learning Environment," the 24th International Joint Conference on Artificial Intelligence (IJCAI'15), 2015. (Best Application Video Award)

170. S. Liu, C. Miao, Y. Liu, H. Fang, H. Yu, J. Zhang & C. Leung, "A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings," in Proceedings of the 17th International Conference on Electronic Commerce (ICEC'15), pp. 7:1–7:8, 2015.

171. C. Leung, Z. Shen, H. Zhang, Q. Wu, J. C. Leung, K. H. Pang, H. Yu & C. Miao, "Aging in-Place: From Unobtrusive Sensing to Graceful Aging," in Proceedings of the 24th Annual John K. Friesen Conference "Harnessing Technology for Aging-in-Place", 2015.

172. [AAMAS'15] J. Lin, H. Yu, C. Miao & Z. Shen, "An Affective Agent for Studying Composite Emotions," in Proceedings of the 14th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'15), pp. 1947–1948, 2015.

173. [AAMAS'15] H. Yu, C. Miao, Z. Shen & C. Leung, "Quality and Budget aware Task Allocation for Spatial Crowdsourcing," in Proceedings of the 14th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'15), pp. 1689–1690, 2015.

174. [AAMAS'15] H. Yu, H. Lin, S. F. Lim, J. Lin, Z. Shen & C. Miao, "Empirical Analysis of Reputation-aware Task Delegation by Humans from a Multi-agent Game," in Proceedings of the 14th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'15), pp. 1687–1688, 2015.

175. [AAAI-15] H. Yu, C. Miao, Z. Shen, C. Leung, Y. Chen & Q. Yang, "Efficient Task Sub-delegation for Crowdsourcing," in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI-15), pp. 1305–1311, 2015.

- 2014 -

176. J.-P. Mei, H. Yu, Y. Liu, Z. Shen & C. Miao, "A Social Trust Model Considering Trustees' Influence," in Proceedings of the 17th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA'14), pp. 357–364, 2014.

177. [ASE'14] J. Lin, H. Yu, Z. Shen & C. Miao, "Studying Task Allocation Decisions of Novice Agile Teams with Data from Agile Project Management Tools," in Proceedings of the 29th IEEE/ACM International Conference on Automated Software Engineering (ASE'14), pp. 689–694, 2014.

178. [AAAI-14] Y. Liu, S. Liu, H. Fang, J. Zhang, H. Yu & C. Miao, "RepRev: Mitigating the Negative Effects of Misreported Ratings," in Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI-14), pp. 3124–3125, 2014.

179. [AAAI-14] Y. Liu, J. Zhang, H. Yu & C. Miao, "Reputation-aware Continuous Double Auction," in Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI-14), pp. 3126–3127, 2014.

180. J. Lin, H. Yu, Z. Shen & C. Miao, "Using Goal Net to Model User Stories in Agile Software Development," in Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD'14), pp. 1–6, 2014.

181. [AAMAS'14] H. Yu, C. Miao, B. An, Z. Shen & C. Leung, "Reputation-aware Task Allocation for Human Trustees," in Proceedings of the 13th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'14), pp. 357–364, 2014.

182. [AAMAS'14] H. Yu, X. Yu, S. F. Lim, J. Lin, Z. Shen & C. Miao, "A Multi-Agent Game for Studying Human Decision-making," in Proceedings of the 13th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'14), pp.1661–1662, 2014.

183. [AAMAS'14] Y. Cai, Z. Shen, S. Liu, H. Yu, X. Han, J. Ji, M. J. McKeown, C. Leung & C. Miao, "An Agent-based Game for the Predictive Diagnosis of Parkinson's Disease," in Proceedings of the 13th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'14), pp. 1663–1664, 2014.

- 2013 -

184. H. Yu, Z. Shen & C. Leung, "Bringing Reputation-awareness into Crowdsourcing," in Proceedings of the 9th International Conference on Information, Communications and Signal Processing (ICICS'13), pp. 1–5, 2013.

185. H. Yu, Z. Shen & C. Leung, "From Internet of Things to Internet of Agents," in Proceedings of the 2013 IEEE International Conference on Internet of Things (iThings'13), pp. 1054–1057, 2013.

186. [IJCAI'13] H. Yu, C. Miao, B. An, C. Leung & V.R. Lesser, "A Reputation Management Model for Resource Constrained Trustee Agents," in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13), pp. 418–424, 2013.

187. [AAMAS'13] S. Liu, H. Yu, C. Miao & A.C. Kot, "A Fuzzy Logic Based Reputation Model Against Unfair Ratings," in Proceedings of the 12th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'13), pp. 821–828, 2013.

188. [AAMAS'13] H. Yu, Z. Shen, C. Miao & B. An, "A Reputation-aware Decision-making Approach for Improving the Efficiency of Crowdsourcing Systems," in Proceedings of the 12th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'13), pp. 1315–1316, 2013.

189. [AAMAS'13] Q. Wu, X. Han, H. Yu, C. Miao & Z. Shen, "The Innovative Applications of Learning Companions in Virtual Singapura," in Proceedings of the 12th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'13), pp. 1171–1172, 2013.

- 2012 -

190. [WI-IAT'12] H. Yu, Z. Shen, C. Miao & B. An, "Challenges and Opportunities for Trust Management in Crowdsourcing," in Proceeding of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'12), pp. 486–493, 2012.

191. H. Yu, Z. Shen & B. An, "An Adaptive Witness Selection Method for Reputation-based Trust Models," in Proceedings of the 15th International Conference on Principles and Practice of Multi-agent Systems (PRIMA'12), pp. 184–198, 2012.

192. H. Yu, C. Leung & C. Miao, "A Simple, General and Robust Trust Agent to Help the Elderly Select online Services," in Proceedings of the 2nd Southeast Asian Network of Ergonomics Societies (SEANES'12) Conference, pp. 1–5, 2012.

193. H. Song, Z. Shen, H. Yu & Y. Chen, "Probability-based Scheduling for Runtime Goal Sequence of Agents," in Proceedings of the 2nd International Conference on Computer Science and Automation Engineering (CSAE'12), pp. 490–494, 2012.

- 2011 -

194. H. Yu, S. Liu, A. Kot, C. Miao & C. Leung, "Dynamic Witness Selection for Trustworthy Distributed Cooperative Sensing in Cognitive Radio Networks," in Proceedings of the 13th IEEE International Conference on Communication Technology (ICCT'11), pp. 1–6, 2011. (Best Paper Award)

195. [AAMAS'11] H. Yu, Z. Shen, C. Miao & A.-H. Tan, "A Simple Curious Agent to Help People be Curious," in Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'11), pp. 1159–1160, 2011.

196. J. Lin, C. Miao & H. Yu, "A Cloud and Agent Based Architecture Design for an Educational Mobile SNS Game," in Proceedings of the 6th International Conference on E-learning and Games (Edutainment'11), pp. 212–219, 2011.

- 2010 -

197. Z. Shen, C. Miao, L. Zhang, H. Yu, M. J. Chavez, "An Emotion Aware Agent Platform for Interactive Storytelling and Gaming," in Proceedings of the International Academic Conference on the Future of Game Design and Technology (Futureplay'10), pp. 257–258, 2010.

198. [IUI'10] H. Yu, Y. Cai, Z. Shen, X. Tao & C. Miao, "Agents as Intelligent User Interfaces for the Net Generation," in Proceedings of the 15th International Conference on Intelligent User Interfaces (IUI'10), pp. 429–430, 2010.

- 2009 -

199. H. Yu, Z. Shen & C. Miao, "A Trustworthy Beacon-based Location Tracking Model for Body Area Sensor Networks in m-Health," in Proceedings of the 7th International Conference on Information, Communications and Signal Processing (ICICS'09), doi:10.1109/ICICS.2009.5397622, 2009. (Best Paper Award Nomination)

200. L. Pan, H. Yu, C. Miao & X. Meng, "A Reputation Pattern for Service Oriented Computing," in Proceedings of the 7th International Conference on Information, Communications and Signal Processing (ICICS'09), doi:10.1109/ICICS.2009.5397618, 2009.

201. H. Yu, C. Miao, X. Tao, Z. Shen, Y. Cai, B. Li & Y. Miao, "Teachable Agents in Virtual Learning Environments: a Case Study," in Proceedings of AACE - World Conference on E-Learning in Corporate, Government, Healthcare & Higher Education (E-LEARN'09), pp. 1088–1096 , 2009.

202. [AAMAS'09] B. Li, H. Yu, Z. Shen & C. Miao, "Evolutionary Organizational Search," in Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'09), pp. 1329–1330, 2009.

- 2008 -

203. [ICALT'08] H. Yu, Z. Shen, C.P. Low & C. Miao, "Transforming Learning through Agent Augmented Virtual World," in Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies (ICALT'08), pp. 933–937, 2008.

- 2007 -

204. [WI-IAT'07] H. Yu, Z. Shen & C. Miao, "Intelligent Software Agent Design Tool Using Goal Net Methodology," in Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'07), pp. 43–46, 2007.

205. H. Yu, Z. Shen & C. Miao, "A Service Based Multi-Agent System Design Tool for Modeling Integrated Manufacturing and Service Systems," in Proceedings of the 12th IEEE Conference on Emerging Technologies and Factory Automation (ETFA'07), pp. 149–154, 2007.

206. [JCDL'07] Y. L. Theng, K. L. Tan, E. P. Lim, J. Zhang, D. H. L. Goh, K. Chatterjea, H. C. Chew, A. X. Sun, H. Yu, N. H. Dang, Y. Y. Li & M. C. Vo, "Mobile G-Portal Supporting Collaborative Sharing and Learning in Geography Fieldwork: An Empirical Study," in Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'07), pp. 462–471, 2007.

- 2006 -

207. H. Yu, L. Ding, X. Lu & B. Xie, "A Virtual Agent Based Mobile 3D Game with Mascot Capsule Micro3D API," in Proceedings of the 3rd IEE International Conference on Mobile Technology, Application and Systems (Mobility'06), pp. 36:1–36:6, 2006.

- 2005 -

208. H. Yu, "Developing Mobile 3D Game Using MIDP 2.0 Game API and JSR-184 M3G API," in Proceedings of the SIGRAD 2005 Conference, pp. 69–73, 2005.