Publications


arXiv Preprints

  1. P. Xing, S. Lu & H. Yu, "FedLogic: Interpretable Federated Multi-Domain Chain-of-Thought Prompt Selection for Large Language Models," arXiv preprint arXiv:2308.15324, 2023.
  2. Y. Zhang & H. Yu, "LR-XFL: Logical Reasoning-based Explainable Federated Learning," arXiv preprint arXiv:2308.12681, 2023.
  3. R. Liu, Y. Chen, A. Li, Y. Ding, H. Yu & C. Guan, "Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning," arXiv preprint arXiv:2308.11636, 2023.
  4. Y. Gao, H. Sun, Z. Li & H. Yu, "The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers," arXiv preprint arXiv:2308.03945, 2023.
  5. C. Ren, H. Yu, R. Yan, M. Xu, Y. Shen, H. Zhu, D. Niyato, Z. Y. Dong & L. C. Kwek, "Towards Quantum Federated Learning," arXiv preprint arXiv:2306.09912, 2023.
  6. A. Li, R. Liu, M. Hu, L. A. Tuan & H. Yu, "Towards Interpretable Federated Learning," arXiv preprint arXiv:2302.13473, 2023.
  7. X. Guo & H. Yu, "On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey," arXiv preprint arXiv:2211.03154, 2022.
  8. X. Tang & H. Yu, "Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning," arXiv preprint arXiv:2210.07770, 2022.
  9. R. Liu, P. Xing, Z. Deng, A. Li, C. Guan & H. Yu, "Federated Graph Neural Networks: Overview, Techniques and Challenges," arXiv preprint arXiv:2202.07256, 2022.
  10. P. S. Kyaw & H. Yu, "Personalised Federated Learning: A Combinational Approach," arXiv preprint arXiv:2108.09618, 2021.

Journal Articles

  1. 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]
  2. Tianlin Li, Xiaofei Xie, Jian Wang, Qing Guo, Aishan Liu, Lei Ma & Yang Liu. Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis. ACM Transactions on Software Engineering and Methodology, ACM (2023). [IF: 4.4]
  3. 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]
  4. Rakpong Kaewpuang, Minrui Xu, Wei Yang Bryan Lim, Dusit Niyato, Han Yu, Jiawen Kang & Xuemin Sherman Shen. Cooperative resource management in quantum key distribution networks for semantic communication. IEEE Internet of Things Journal, doi:10.1109/JIOT.2023.3301033, IEEE (2023). [IF: 10.6]
  5. 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]
  6. 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]
  7. Yijing Lin, Zhipeng Gao, Hongyang Du, Jiawen Kang, Dusit Niyato, Qian Wang, Jingqing Ruan & Shaohua Wan. DRL-based adaptive sharding for blockchain-based federated fearning. IEEE Transactions on Communications, IEEE (2023). [IF: 8.3]
  8. Yuxin Shi, Han Yu & Cyril Leung. Towards fairness-aware federated learning. IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2023.3263594, IEEE (2023). [IF: 14.255]
  9. Ronghong Mo, Yiyang Pei, Neelakantam Venkatarayalu, Pereira Nathaniel Joseph, A. Benjamin Premkumar, Sumei Sun & Simon Kok Kan Foo. Unsupervised TCN-AE-Based Outlier Detection for Time Series With Seasonality and Trend for Cellular Networks. IEEE Transactions on Wireless Communications, IEEE (2023). [IF: 10.4]
  10. Chang Liu & Han Yu. AI-empowered persuasive video generation: A survey. ACM Computing Surveys, doi:10.1145/3588764, ACM (2023). [IF: 16.062]
  11. 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, doi:10.1002/aaai.12082, AAAI Press (2023). [IF: 2.524]
  12. Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan & Chai Quek. Value-based subgoal discovery and path planning for reaching long-horizon goals. IEEE Transactions on Neural Networks and Learning Systems, IEEE (2023). [IF: 14.255]
  13. Tengyun Wang, Haizhi Yang, Yang Liu, Han Yu & Hengjie Song. A multimodal approach for improving market price estimation in online advertising. Knowledge-Based Systems, vol. 266, doi:10.1016/j.knosys.2023.110392, Elsevier (2023). [IF: 8.139]
  14. Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu & Dusit Niyato. Privacy-preserving anomaly detection in cloud manufacturing via federated transformer. IEEE Transactions on Industrial Informatics, IEEE (2022). [IF: 11.648]
  15. Napat Ngoenriang, Minrui Xu, Jiawen Kang, Dusit Niyato, Han Yu & Sherman Shen. DQC2O: Distributed quantum computing for collaborative optimization in future networks. IEEE Communications Magazine, IEEE (2023). [IF: 9.03]
  16. Rakpong Kaewpuang, Suttinee Sawadsitang, Dusit Niyato & Han Yu. Evolutionary carrier selection for shared truck delivery services. IEEE Transactions on Vehicular Technology, IEEE (2022). [IF: 6.239]
  17. 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, doi:10.1109/TNNLS.2022.3216981, IEEE (2022). [IF: 14.255]
  18. Eunil Seo, Dusit Niyato & Erik Elmroth. Resource-efficient federated learning with non-IID data: An auction theoretic approach. IEEE Internet of Things Journal, IEEE (2022). [IF: 10.238]
  19. Jiawen Kang, Hongyang Du, Zonghang Li, Zehui Xiong, Shiyao Ma, Dusit Niyato & Yuan Li. Personalized saliency in task-oriented semantic communications: Image transmission and performance analysis. IEEE Journal on Selected Areas in Communications, IEEE (2022). [IF: 13.081]
  20. Jiawen Kang, Xuandi Li, Jiangtian Nie, Yi Liu, Minrui Xu, Zehui Xiong, Dusit Niyato & Qiang Yan. Communication-efficient and cross-chain empowered federated learning for artificial intelligence of things. IEEE Transactions on Network Science and Engineering, IEEE (2022). [IF: 5.033]
  21. Kan Xie, Zhe Zhang, Bo Li, Jiawen Kang, Dusit Niyato, Shengli Xie & Yi Wu. Efficient federated learning with spike neural networks for traffic sign recognition. IEEE Transactions on Vehicular Technology, IEEE (2022). [IF: 6.239]
  22. Haoran Shi, Yonghui Xu, Yali Jiang, Han Yu & Lizhen Cui. Efficient asynchronous multi-participant vertical federated learning. IEEE Transactions on Big Data, IEEE (2022). [IF: 4.271]
  23. Xavier Tan, Wei Chong Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato & Han Yu. Reputation-aware federated learning client selection based on stochastic integer programming. IEEE Transactions on Big Data, doi:10.1109/TBDATA.2022.3191332, IEEE (2022). [IF: 4.271]
  24. Pengwei Xing, Songtao Lu, Lingfei Wu & Han Yu. BiG-Fed: Bilevel optimization enhanced graph-aided federated learning. IEEE Transactions on Big Data, IEEE (2022). [IF: 4.271]
  25. Siwei Feng, Boyang Li, Han Yu, Yang Liu & Qiang Yang. Semi-supervised federated heterogeneous transfer learning. Knowledge-Based Systems, vol. 252, doi:10.1016/j.knosys.2022.109384, Elsevier (2022). [IF: 8.139]
  26. Xiaohu Wu & Han Yu. MarS-FL: Enabling competitors to collaborate in federated learning. IEEE Transactions on Big Data, doi:10.1109/TBDATA.2022.3186991, IEEE (2022). [IF: 4.271]
  27. Yining Wang, Mingzhe Chen, Tao Luo, Walid Saad, Dusit Niyato, H. Vincent Poor & Shuguang Cui. Performance optimization for semantic communications: An attention-based reinforcement learning approach. IEEE Journal on Selected Areas in Communications, vol. 40, no. 9, pp. 2598-2613, IEEE (2022). [IF: 13.081]
  28. Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek & Quanjun Yin. Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models. Neural Computing and Applications, vol. 4, pp. 14859-14879, Springer (2022). [IF: 5.102]
  29. Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo, Lei Ma & Yang Liu. Countering malicious deepFakes: Survey, battleground, and horizon. International Journal of Computer Vision, vol. 130, pp. 1678-1734, Springer (2022). [IF: 13.369]
  30. 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, doi:10.1016/j.knosys.2022.109248, Elsevier (2022). [IF: 8.139]
  31. Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Ping Wang, Dong In Kim & Chau Yuen. Transferable deep reinforcement learning framework for autonomous vehicles with joint radar-data communications. IEEE Transactions on Communications, vol. 70, no. 8, pp. 5164-5180, IEEE (2022). [IF: 6.166]
  32. Nan Zhao, Zhiyang Ye, Yiyang Pei, Ying-Chang Liang & Dusit Niyato. Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing. IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 6949-6960, IEEE (2022). [IF: 8.346]
  33. Shaohan Feng, Xiao Lu, Sumei Sun & Dusit Niyato. Mean-field artificial noise assistance and uplink power control in covert IoT systems. IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 7358-7373, IEEE (2022). [IF: 8.346]
  34. Wenbo Wang, Amir Leshem, Dusit Niyato & Zhu Han. Decentralized learning for channel allocation in IoT networks over unlicensed bandwidth as a contextual multi-player multi-armed bandit game. IEEE Transactions on Wireless Communications, vol. 21, no. 5, pp. 3162-3178, IEEE (2022). [IF: 8.346]
  35. 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, vol. 13, no. 4, pp. 60:1-60:21, ACM (2022). [IF: 10.489]
  36. 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, vol. 13, no. 4, pp. 68:1-68:18, ACM (2022). [IF: 10.489] (PREMIA Certificate of Commendation)
  37. Bozhi Wu, Shangqing Liu, Ruitao Feng, Xiaofei Xie, Jingkai Siow & Shang-Wei Lin. Enhancing security patch identification by capturing structures in commits. IEEE Transactions on Dependable and Secure Computing, IEEE (2022). [IF: 6.791]
  38. Ju Jia, Yueming Wu, Anran Li, Siqi Ma & Yang Liu. Subnetwork-lossless robust watermarking for hostile theft attacks in deep transfer learning models. IEEE Transactions on Dependable and Secure Computing, IEEE (2022). [IF: 6.791]
  39. Tianze Luo, Zichen Chen, Budhitama Subagdja & Ah-Hwee Tan. Real-time hierarchical map segmentation for coordinating multi-robot exploration. IEEE Access, IEEE (2022). [IF: 3.476]
  40. 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]
  41. 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, IEEE (2022). [IF: 11.648]
  42. 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]
  43. Chen Chen, Lingjuan Lyu, Han Yu & Gang Chen. Practical attribute reconstruction attack against federated learning. IEEE Transactions on Big Data, doi:10.1109/TBDATA.2022.3159236, IEEE (2022). [IF: 4.271]
  44. Ka Lon Sou, Ashley Say & Hong Xu. Unity assumption in audiovisual emotion perception. Frontiers in Neuroscience, Frontiers (2022). [IF: 5.152]
  45. Wei Chong Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Chunyan Miao, Zhu Han & Dong In Kim. Stochastic coded offloading scheme for unmanned aerial vehicle-assisted edge computing. IEEE Internet of Things Journal, IEEE (2022). [IF: 10.238]
  46. 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]
  47. Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu & Yang Liu. NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. ACM Transactions on Software Engineering and Methodology, vol. 31, no. 3, pp. 47:1-47:27, ACM (2022). [IF: 4.267]
  48. Yihao Huang, Felix Juefei-Xu, Qing Guo, Yang Liu & Geguang Pu. FakeLocator: Robust localization of GAN-based face manipulations. IEEE Transactions on Information Forensics and Security, IEEE (2022). [IF: 7.231]
  49. Yaqin Zhou, Jing Kai Siow, Chenyu Wang, Shangqing Liu & Yang Liu. SPI: Automated identification of security patches via commits. ACM Transactions on Software Engineering and Methodology, vol. 31, no. 1., pp. 13:1-13:27, ACM (2022). [IF: 4.267]
  50. Bo Yang, Xuelin Cao, Chongwen Huang, Yong Liang Guan, Chau Yuen, Marco Di Renzo, Dusit Niyato, Merouane Debbah & Lajos Hanzo. Spectrum learning-aided reconfigurable intelligent surfaces for 'green' 6G networks. IEEE Network, vol. 35, no. 6, pp. 20-26, IEEE (2021). [IF: 10.294]
  51. Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Chunyan Miao & Dong In Kim. Dynamic edge association and resource allocation in self-organizing hierarchical federated learning networks. IEEE Journal on Selected Areas in Communications, vol. 39, no. 12, pp. 3640-3653, IEEE (2021). [IF: 13.081]
  52. Lotfi Ismail, Dusit Niyato, Sumei Sun, Dinh Thai Hoang, Yonghui Li & Dong In Kim. Protecting multi-function wireless systems from jammers with backscatter assistance: An intelligent strategy. IEEE Transactions on Vehicular Technology, vol. 70, no. 11, pp. 11812-11826, IEEE (2021). [IF: 6.239]
  53. Nan Zhao, Aonan Wu, Yiyang Pei, Ying-Chang Liang & Dusit Niyato. Spatial-temporal aggregation graph convolution network for efficient mobile cellular traffic prediction. IEEE Communications Letters, vol. 26, no. 3, pp. 587-591, IEEE (2021). [IF: 3.553]
  54. 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, vol. 42, no. 2, pp. 19-27, AAAI Press (2021). [IF: 2.524]
  55. 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, vol. 42, no. 2, pp. 28-37, AAAI Press (2021). [IF: 2.524]
  56. Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Yang Yu, Zhihua Zhou & Chunyan Miao. Improving search engine efficiency through contextual factor selection. AI Magazine, vol. 42, no. 2, pp. 50-58, AAAI Press (2021). [IF: 2.524]
  57. 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, vol. 231, doi:10.1016/j.knosys.2021.107441, Elsevier (2021). [IF: 8.139]
  58. 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, doi:10.1109/TCSVT.2021.3116976, IEEE (2021). [IF: 5.859]
  59. 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, doi:10.1109/TCSVT.2021.3105723, IEEE (2021). [IF: 5.859]
  60. Wei Yang Bryan Lim, Sahil Garg, Zehui Xiong, Yang Zhang, Dusit Niyato, Cyril Leung & Chunyan Miao. UAV-assisted communication efficient federated learning in the era of the artificial intelligence of things. IEEE Network, doi:10.1109/MNET.002.2000334, IEEE (2021). [IF: 10.294]
  61. 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, doi:10.1109/TKDE.2021.3098898, IEEE (2021). [IF: 9.235]
  62. 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, doi:10.1109/TKDE.2021.3077699, IEEE (2021). [IF: 9.235]
  63. Yupeng Cheng, Qing Guo, Felix Juefei-Xu, Wei Feng, Shang-wei Lin, Weisi Lin & Yang Liu. Pasadena: Perceptually aware and stealthy adversarial denoise attack. IEEE Transactions on Multimedia, doi:10.1109/TMM.2021.3108009, IEEE (2021). [IF: 8.182]
  64. Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan & Chai Quek. End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery. IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2021.3087733, IEEE (2021). [IF: 14.255]
  65. Yue Hu , Budhitama Subagdja, Ah-Hwee Tan & Quanjun Yin. Vision-based topological mapping and navigation with self-organizing neural networks. IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2021.3084212, IEEE (2021). [IF: 14.255]
  66. Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan & Chai Quek. Hierarchical reinforcement learning: A comprehensive survey. ACM Computing Surveys, vol. 54, no. 5, 109:1-109:35, ACM (2021). [IF: 16.062] (PREMIA Certificate of Commendation)

Conference Publications

  1. 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," in Proceedings of the 2024 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD'24), 2024.
  2. 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.
  3. Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi & Han Yu, "FedGH: Heterogeneous Federated Learning with Generalized Global Header," in Proceedings of the 31st ACM Multimedia Conference (ACM MM'23), 2023.
  4. 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. (KDDSG23 Best Poster Runner-Up Award)
  5. 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.
  6. Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng & Yang Liu, "Fairness via Group Contribution Matching," in Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), 2023.
  7. Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li & Yang Liu, "FAIRER: Fairness as Decision Rationale Alignment," in Proceedings of the 40th International Conference on Machine Learning (ICML'23), 2023.
  8. 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.
  9. Han Liu, Sen Chen, Ruitao Feng, Chengwei Liu, Kaixuan Li, Zhengzi Xu, Liming Nie, Yang Liu & Yixiang Chen, "A Comprehensive Study on Quality Assurance Tools for Java," in Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA'23), 2023.
  10. 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.
  11. 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. (KDDSG23 Best Poster Award)
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. Yuekun Wang, Yuhang Ye, Yueming Wu, Weiwei Zhang, Yinxing Xue & Yang Liu, "Comparison and Evaluation of Clone Detection Techniques with Different Code Representations," in Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE'23), 2023.
  19. Jiahui Wu, Zhengzi Xu, Wei Tang, Lyuye Zhang, Yueming Wu, Chengyue Liu , Kairan Sun, Lida Zhao & Yang Liu, "OSSFP: Precise and Scalable C/C++ Third-Party Library Detection using Fingerprinting Functions," in Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE'23), 2023.
  20. 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.
  21. Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong & Sherman 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.
  22. 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), pp. 15485-15493, 2023. (Innovative Application of AI Award)
  23. 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), pp. 3523-3537, 2022.
  24. Minrui Xu, Wei Chong Ng, Dusit Niyato, Han Yu, Chunyan Miao, Dong In Kim & Sherman 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.
  25. Yulan Gao, Ziqiang Ye, Han Yu, Zehui Xiong, Yue Xiao, Dusit 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.
  26. Liming Zhai, Qing Guo, Xiaofei Xie, Lei Ma, Yi Estelle Wang & Yang Liu, "A3GAN: Attribute-Aware Anonymization Networks for Face De-identification," in Proceedings of the 30th ACM Multimedia Conference (ACM MM'22), pp. 5303-5313, 2022.
  27. Lyuye Zhang, Chengwei Liu, Zhengzi Xu, Sen Chen, Lingling Fan & Bihuan Chen, "Has My Release Disobeyed Semantic Versioning? Static Detection Based On Semantic Differencing," in Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE'22), pp. 51:1-51:12, 2022.
  28. Jiawen Kang, Dongdong Ye, Jiangtian Nie, Jiang Xiao, Xianjun Deng, Siming Wang, Zehui Xiong, Rong Yu & Dusit Niyato, "Blockchain-based Federated Learning for Industrial Metaverse: Incentive Schemes with Optimal AoI," in Proceedings of the 5th IEEE International Conference on Blockchain (Blockchain'22), 2022. (Best Paper Award)
  29. Yanci Zhang & Han Yu, "Towards Verifiable Federated Learning," in Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI'22), 2022.
  30. Zhiming Li, Xiaofei Xie, Haoliang Li, Zhengzi Xu, Yi Li & Yang Liu, "Cross-lingual Transfer Learning for Statistical Type Inference," in Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA'22), pp. 239-250, 2022. (Distinguished Paper Award)
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