NOURISH

- 2024 -

1. Xiaoli Tang, Han Yu, Xiaoxiao Li & Sarit Kraus, "Intelligent Agents for Auction-based Federated Learning: A Survey," in Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), 2024.

2. Xiaoli Tang, Han Yu, Zengxiang Li & Xiaoxiao 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), 2024.

3. Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li & Xiaoxiao Li, "Dual Calibration-based Personalised Federated Learning," in Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), 2024.

4. Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui & Xiaoxiao 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), 2024.

5. Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu & Xiaoxiao 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), 2024.

6. Pengwei Xing, Songtao Lu & Han Yu, "Federated Neuro-Symbolic Learning," in Proceedings of the 41st International Conference on Machine Learning (ICML'24), 2024.

7. Jianfu Zhang, Qingtao Yu, Yizhou Chen, Guoliang Zhou, Yawei Sun, Chen Liang, Yawen Liu, Guangda Huzhang, Yabo Ni, Anxiang Zeng & Han 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), 2024. 

8. Alysa Ziying Tan, Siwei Feng & Han 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 Expo (ICME'24), 2024.

9. Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu & Xiaoxiao Li, "The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models," in Proceedings of the 2024 IEEE International Conference on Multimedia Expo (ICME'24), 2024.

10. Xiaoli Tang, Han Yu & Xiaoxiao Li, "Agent-oriented Joint Decision Support for Data Owners in Auction-based Federated Learning," in Proceedings of the 2024 IEEE International Conference on Multimedia Expo (ICME'24), 2024.

11. Qianyu Li, Xiaoli Tang, Siyao Zhou, Han Yu, Hengjie Song, Lizhen Cui & Xiaoxiao Li, "FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding through Randomization," in Proceedings of the 2024 IEEE International Conference on Multimedia Expo (ICME'24), 2024.

12. Zhiwei Xiong, Yunfan Zhang, Zhiqi Shen, Peiran Ren & Han Yu, "Multi-modal Learnable Queries for Image Aesthetics Assessment," in Proceedings of the 2024 IEEE International Conference on Multimedia Expo (ICME'24), 2024.

13. Yansong Zhao, Siyao Zhou, Yulan Gao & Han Yu, "A Fair Incentive Mechanism for Federated Auctioning Networks," in Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN'24), 2024.

14. Xiaoli Tang & Han 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.

15. Xavier Tan & Han 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.

16. Xiaoli Tang & Han Yu. Efficient large-scale personalizable bidding for multi-agent auction-based federated learning. IEEE Internet of Things Journal, IEEE (2024). (IF: 10.6) 

17. Qianyu Li, Jiebin Chen, Xiaoli Tang, Han Yu & Hengjie 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.

18. Yuxin Shi & Han 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.

19. Zichao Deng & Han 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.

20. Zhiwei Xiong, Yunfan Zhang, Zhiqi Shen, Peiran Ren & Han Yu, "Image Aesthetics Assessment via Learnable Queries," in Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’24), 2024.

21. Liping Yi, Xiaorong Shi, Nan Wang, Gang Wang, Xiaoguang Liu, Zhuan Shi & Han Yu. pFedKT: Personalized federated learning with dual knowledge transfer. Knowledge-Based Systems, Elsevier (2024). (IF: 8.8) 

22. Qianyu Li, Bozheng Feng, Xiaoli Tang, Han Yu & Hengjie Song. MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion.  Neural Networks, Elsevier (2024). (IF: 7.8) 

23. Rui Liu, Pengwei Xing, Zichao Deng, Anran Li, Cuntai Guan & Han Yu. Federated graph neural networks: Overview, techniques and challenges. IEEE Transactions on Neural Networks and Learning Systems, IEEE (2024). (IF: 10.4)

24. Sheng Liu, Linlin You, Rui Zhu, Bing Liu, Rui Liu, Han Yu & Chau Yuen. AFM3D: An asynchronous federated meta-learning framework for driver distraction detection. IEEE Transactions on Intelligent Transportation Systems, IEEE (2024). (IF: 8.5)

25. Yanci Zhang & Han Yu, "LR-XFL: Logical Reasoning-based Explainable Federated Learning," in Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), 2024.

26. Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang & Xiaofeng Tao, "FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants," in Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), 2024.

27. Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li & Han Yu, "Multi-dimensional Fair Federated Learning," in Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), 2024.

28. Chang Liu, Peng Hou, Anxiang Zeng & Han 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), 2024. (Innovative Application of AI Award)

29. Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li & Han 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), 2024. (Innovative Application of AI Award)

30. Yuliang Shi, Lin Cheng, Cheng Jiang, Hui Zhang, Guifeng Li, Xiaoli Tang, Han Yu, Zhiqi Shen & Cyril 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), 2024. (Innovative Application of AI Award)

31. Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu & Cuntai Guan. Aggregating intrinsic information to enhance BCI performance through federated learning. Neural Networks, Elsevier (2024). (IF: 7.8)

- 2023 -

32. Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Yuanpeng Cao, Kangle Wu, Guangda Huzhang, Han Yu & Zhiming Zhou, "Recurrent Temporal Revision Graph Networks," in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS'23), 2023.

33. Anran Li, Yue Cao, Jiabao Guo, Hongyi Peng, Qing Guo & Han Yu. FedCSS: Joint client-and-sample selection for hard sample-aware noise-robust federated learning. Proceedings of the ACM on Management of Data 1(3), 212:1-212:24, ACM (2023).

34. Anran Li, Jiahui Huang, Ju Jia, Hongyi Peng, Lan Zhang, Luu Anh Tuan, Han Yu & Xiang-Yang Li.  Efficient and privacy-preserving feature importance-based vertical federated learning. IEEE Transactions on Mobile Computing, IEEE (2023). (IF: 7.9) 

35. Chao Ren, Chunran Zou, Zehui Xiong, Han Yu, Zhao Yang Dong & Dusit Niyato. Achieving 500x acceleration for adversarial robustness verification of tree-based smart grid dynamic security assessment. IEEE/CAA Journal of Automatica Sinica, IEEE (2023). (IF: 11.8) 

36. Kairui Hu, Rui Liu & Han Yu, "Horizontal Federated Learning for Brain-Computer Interface," in Proceedings of the 5th Distributed Artificial Intelligence Conference (DAI'23), 2023.

37. Chao Ren, Rudai Yan, Minrui Xu, Han Yu, Yan Xu, Dusit Niyato & Zhao Yang Dong. QFDSA: A quantum-secured federated learning system for smart grid dynamic security assessment. IEEE Internet of Things Journal, IEEE (2023). (IF: 10.6)

38. Xiaoli Tang & Han 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), 2023. (Best Poster Runner-Up Award, KDDSG) 

39. Yuanyuan Chen, Zichen Chen, Pengcheng Wu & Han 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), 2023.

40. Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan & Fanyu 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), 2023.

41. Xiaoli Tang & Han 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), 2023.

42. Yuxin Shi, Zelei Liu, Zhuan Shi & Han Yu, “Fairness-Aware Client Selection for Federated Learning,” in Proceedings of the 2023 IEEE International Conference on Multimedia and Expo (ICME’23), 2023. (Best Poster Award, KDDSG) 

43. Yulan Gao, Yansong Zhao & Han Yu, “Multi-Tier Client Selection for Mobile Federated Learning Networks,” in Proceedings of the 2023 IEEE International Conference on Multimedia and Expo (ICME’23), 2023.

44. Zhiwei Xiong, Han Yu & Zhiqi Shen, “Federated Learning-based Personalized Image Aesthetics Assessment,” in Proceedings of the 2023 IEEE International Conference on Multimedia and Expo (ICME’23), 2023.

45. Zhuan Shi, Zhenyu Yao, Liping Yi, Han Yu, Lan Zhang & Xiang-Yang Li, "FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness," in Proceedings of the 2023 IEEE International Conference on Web Services (ICWS'23), 2023.

46. Shipeng Wang, Qingzhong Li, Lizhen Cui, Yali Jiang, Zhiqi Shen & Han Yu, "CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers," in Proceedings of the 2023 IEEE International Conference on Web Services (ICWS'23), 2023.

47. Chao Ren, Han Yu, Rudai Yan, Qiaoqiao Li, Yan Xu, Dusit Niyato & Zhao Yang Dong. SecFedSA: A secure differential privacy-based federated learning approach for smart cyber-physical grid stability assessment. IEEE Internet of Things Journal, IEEE (2023). (IF: 10.6)

48. Qianyu Li, Jiale Yao, Xiaoli Tang, Han Yu, Siyu Jiang, Haizhi Yang & Hengjie Song. Capsule neural tensor networks with multi-aspect information for few-shot knowledge graph completion. Neural Networks, vol. 164, pp. 323–334, Elsevier (2023). (IF: 9.657)

49. Xavier Tan, Wei Yang Bryan Lim, Dusit Niyato & Han Yu, "Reputation-Aware Opportunistic Budget Optimization for Auction-based Federation Learning," in Proceedings of the 2023 International Joint Conference on Neural Networks (IJCNN'23), 2023.

50. Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu & Yang 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), 2023.

51. Yizhou Chen, Guangda Huzhang, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Anxiang Zeng, Han Yu & Zhiming Zhou, "Clustered Embedding Learning for Large-scale Recommender Systems," in Proceedings of the ACM Web Conference 2023 (WWW'23), 2023.

52. Hongli Bian, Jie Tian, Jialiang Yu & Han Yu. Bayesian co-evolutionary optimization based entropy search for high-dimensional many-objective optimization. Knowledge-Based Systems, Elsevier (2023). (IF: 8.139)

53. Chang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu, Haishu Tan, Yuguang Yan & Han Yu. Multi-component adversarial domain adaptation: A general framework. IEEE Transactions on Neural Networks and Learning Systems, IEEE (2023). (IF: 14.255) 

54. Yuxin Shi, Han Yu & Cyril Leung. Towards fairness-aware federated learning. IEEE Transactions on Neural Networks and Learning Systems, IEEE (2023). (IF: 14.255) 

55. Chang Liu & Han Yu. AI-empowered persuasive video generation: A survey. ACM Computing Surveys, ACM (2023). (IF: 16.062)

56. Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu & Qiang Yang. CAreFL: Enhancing smart healthcare with contribution-aware federated learning. AI Magazine, AAAI Press (2023). (IF: 2.524) 

57. Jiehuang Zhang & Han Yu. EID: Facilitating explainable AI design discussions in team-based settings. International Journal of Crowd Science, Tsinghua University Press (2023).

58. Jiehuang Zhang, Ying Shu & Han Yu. Fairness in Design: A framework for facilitating ethical AI designs. International Journal of Crowd Science, Tsinghua University Press (2023).

59. Napat Ngoenriang, Minrui Xu, Jiawen Kang, Dusit Niyato, Han Yu & Xuemin (Sherman) Shen. DQC2O: Distributed quantum computing for collaborative optimization in future networks. IEEE Communications Magazine, IEEE (2023). (IF: 9.03)

60. Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong & Jiawen Kang, "Stochastic Qubit Resource Allocation for Quantum Cloud Computing," in Proceedings of the 36th IEEE/IFIP Network Operations and Management Symposium (NOMS'23), 2023. 

61. Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li & Han 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), 2023. (Innovative Application of AI Award)

- 2022 -

62. Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang & Philip S. Yu. Privacy and robustness in federated learning: Attacks and defenses. IEEE Transactions on Neural Networks and Learning Systems, IEEE (2022). (IF: 14.255) 

63. Xu Guo, Boyang Li & Han 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), 2022. 

64. Xianshuai Cao, Yuliang Shi, Jihu Wang, Han Yu, Xinjun Wang & Zhongmin Yan, "Cross-modal Knowledge Graph Contrastive Learning for Machine Learning Method Recommendation," in Proceedings of the 30th ACM Multimedia Conference (ACM MM'22), 2022.

65. Siwei Feng, Boyang Li, Han Yu, Yang Liu & Qiang Yang. Semi-supervised federated heterogeneous transfer learning. Knowledge-Based Systems, Elsevier (2022). (IF: 8.139)

66. Haizhi Yang, Siyu Jiang, Yueyue Shi, Qianyu Li, Xiaoli Tang, Han Yu & Hengjie Song. Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising. Knowledge-Based Systems, Elsevier (2022). (IF: 8.139)

67. Yanci Zhang & Han Yu, "Towards Verifiable Federated Learning," in Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI'22), 2022. 

68. Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu & Lizhen Cui. GTG-Shapley: Efficient and accurate participant contribution evaluation in federated learning. ACM Transactions on Intelligent Systems and Technology, ACM (2022). (IF: 10.489)

69. Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie & Chunyan Miao. Federated learning for personalized humor recognition. ACM Transactions on Intelligent Systems and Technology, ACM (2022). (IF: 10.489) (PREMIA Certificate of Commendation)

70. Yuan-Ai Xie, Jiawen Kang, Dusit Niyato, Nguyen Thi Thanh Van, Nguyen Cong Luong, Zhixin Liu & Han Yu. Securing federated learning: A covert communication-based approach. IEEE Network, IEEE (2022). (IF: 10.294)

71. Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Yanli Yuan, Zehui Xiong, Han Yu & Nadra Guizani. STMGCN: Mobile edge computing-empowered vessel trajectory prediction using spatio-temporal multi-graph convolutional network. IEEE Transactions on Industrial Informatics, doi:10.1109/TII.2022.3165886, IEEE (2022). (IF: 11.648)

72. Alysa Ziying Tan, Han Yu, Lizhen Cui & Qiang Yang. Towards personalized federated learning. IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2022.3160699, IEEE (2022). (IF: 14.255)

73. Ryan Wen Liu, Yu Guo, Jiangtian Nie, Qin Hu, Zehui Xiong, Han Yu & Mohsen Guizani. Intelligent edge-enabled efficient multi-source data fusion for autonomous surface vehicles in maritime Internet of Things. IEEE Transactions on Green Communications and Networking, doi:10.1109/TGCN.2022.3158004, IEEE (2022). (IF: 3.525)

74. Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato & Han 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), 2022.

75. Jiehuang Zhang & Han Yu, "A Methodological Framework for Facilitating Explainable AI Design," in Proceedings of the 14th International Conference on Social Computing and Social Media (SCSM’22), 2022.

76. Yuanchao Loh, Zichen Chen, Yansong Zhao & Han 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), 2022.

77. Yu Guo, Wen Liu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, and Dusit Niyato, "DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation," AI for Transportation Workshop in Conjunction with AAAI, Virtual, 2022. (Best Paper Award)

78. Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu & Tao Qin. Adaptive memory networks with self-supervised learning for unsupervised anomaly detection. IEEE Transactions on Knowledge and Data Engineering, IEEE (2022). (IF: 9.235)

79. Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu & Qiang Yang, "Contribution-Aware Federated Learning for Smart Healthcare," in Proceedings of the 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22), 2022. (Innovative Application of AI Award)

80. Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Yun Xiao, Bo Long, Han Yu & Lingfei 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), 2022. (Innovative Application of AI Award)

81. Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu & Lingfei Wu, "Automatic Product Copywriting for E-Commerce," in Proceedings of the 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22), 2022. (Innovative Application of AI Award)

82. Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu & Chunyan 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), 2022. (Innovative Application of AI Award)

83. Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato & Chunyan Miao, "CrowdFL: A Marketplace for Crowdsourced Federated Learning," in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), 2022.

84. Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato and Chunyan Miao, "Dynamic Incentive Mechanism Design for COVID-19 Social Distancing," in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), 2022.

- 2021 -

85. Shangwei Guo, Tianwei Zhang, Guowen Xu, Han Yu, Tao Xiang & Yang Liu. Byzantine-resilient decentralized stochastic gradient descent . IEEE Transactions on Circuits and Systems for Video Technology, IEEE (2021). (IF: 5.859)

86. Yuan Liu, Xin Zou & Han Yu. 3R Model: A post-purchase context-aware reputation model to mitigate unfair ratings in e-commerce. Knowledge-Based Systems, Elsevier (2021). (IF: 8.139)

87. Shangwei Guo, Tianwei Zhang, Guowen Xu, Han Yu, Tao Xiang & Yang Liu. Topology-aware differential privacy for decentralized image classification. IEEE Transactions on Circuits and Systems for Video Technology, IEEE (2021). (IF: 5.859)

88. Haizhi Yang, Tengyun Wang, Xiaoli Tang, Qianyu Li, Yueyue Shi, Siyu Jiang, Han Yu & Hengjie 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), 2021.

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

90. Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Yawen Liu, Weijie Shen, Wen-Ji Zhou, Qianying Lin, Qing Da, An-Xiang Zeng, Han Yu, Yang Yu & Zhi-Hua Zhou. AliExpress Learning-To-Rank: Maximizing online model performance without going online. IEEE Transactions on Knowledge and Data Engineering, IEEE (2021). (IF: 9.235)

91. Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato & Chunyan Miao, "Predictive Analytics for COVID-19 Social Distancing," in Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI’21), 2021. 

92. Haizhi Yang, Tengyun Wang, Xiaoli Tang, Han Yu, Fei Liu & Hengjie Song, Dynamically optimizing display advertising profits under diverse budget settings. IEEE Transactions on Knowledge and Data Engineering, IEEE (2021). (IF: 9.235)

93. Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung & Chunyan Miao, Optimizing smart grid operations from the demand side. AI Magazine 42(2), AAAI Press (2021). (IF: 2.524)

94. Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu & Qiang Yang, Federated learning-powered visual object detection for safety monitoring. AI Magazine 42(2), AAAI Press (2021). (IF: 2.524)

95. Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Yang Yu, Zhihua Zhou & Chunyan Miao, Improving search engine efficiency through contextual factor selection. AI Magazine 42(2), AAAI Press (2021). (IF: 2.524)

96. Xianshuai Cao, Yuliang Shi, Han Yu, Jihu Wang, Xinjun Wang, Zhongmin Yan & Zhiyong 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), 2021.

97. Ying Shu, Jiehuang Zhang & Han 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), 2021.

98. Jiehuang Zhang, Ying Shu & Han Yu, "Human-Machine Interaction for Autonomous Vehicles: A Review," in Proceedings of the 13th International Conference on Social Computing and Social Media (SCSM’21), 2021.

99. Chang Liu, Han Yu, Zhiqi Shen, Ian Dixon, Yingxue Yu, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui & Chunyan 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), 2021.

100. Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui & Chunyan 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), 2021. (PREMIA Best Student Paper Runners Up Award)

101. Xu Guo, Boyang Li, Han Yu & Chunyan 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 (NAACL-HLT'21), pp. 5394–5407, 2021. (PREMIA Best Presentation Award)

102. Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu & Chunyan 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.

103. Anxiang Zeng, Han Yu, Hualin He, Yabo Ni, Yongliang Li, Jingren Zhou & Chunyan 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)