Published in , 2025
[ICDM] H. Xu, S. Shrestha, W. Chen, Z. Li and Z. Cai, DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models [C]. IEEE International Conference on Data Mining (ICDM), 2025. (Acceptance Ratio: 13.5\%) Download paper here
Published in , 2025
[IoTJ] H. Xu, W. Li, D. Takebi, D. Seo, and Z. Cai, Privacy-Preserving Multimodal Sentiment Analysis [J]. IEEE Internal of Things Journal (IoTJ), 2025. Download paper here
Published in , 2024
[ICDM] H. Xu, W. Li, L. Zhao, S. Wu, Z. Cai, APOLLO: Differential Private Online Multi-Sensor Data Prediction with Certified Performance [C].IEEE International Conference on Data Mining (ICDM), 2024. (Acceptance Ratio: 9.37\%) Download paper here
Published in , 2024
[JDIQ] H. Xu, Z. Cai, L. Ma, Y. Li, D. Seo, and W. Li, Overheard: Audio-based Integral Event Inference [J]. ACM Journal of Data and Information Quality (JDIQ), 2024. Download paper here
Published in , 2024
[IoTM] H. Xu, Y. Li, O. Balogun, S. Wu, Y. Wang, and Z. Cai, Security Risks Concerns of Generative AI in the IoT [M]. Internet of Things Magazine (IoTM), 6(3), 62-67 2024. Download paper here
Published in , 2023
[ICDM] H. Xu, Z. Cai, Z. Xiong and W. Li, Backdoor Attack on 3D Grey Image Segmentation [C]. IEEE International Conference on Data Mining (ICDM), 2023. (Acceptance Ratio: 9.37\%) Download paper here
Published in , 2023
[TST] B. Xie, H. Xu, Y. Joe, D. Seo, and Z. Cai, Lightweight Super-Resolution Model for Complete Model Copyright Protection [J]. Tsinghua Science and Technology (TST), 2023. (IF: 3.515) Download paper here
Published in , 2022
[TCS] H. Xu, W. Li, and Z. Cai, Analysis on Methods to Effectively Improve Transfer Learning Performance [J]. Theoretical Computer Science (TCS), 2022, 940: 90-107.(IF: 1.002) Download paper here
Published in , 2022
[TITS] H. Xu, Z. Cai, R. Li and W. Li, Efficient CityCam-to-Edge Cooperative Learning for Vehicle Counting in ITS [J]. IEEE Transaction on Intelligent Transportation Systems (TITS), 2022, 23(9), 16600-16611.(IF: 2.534) Download paper here
Published in , 2022
[SmartData] B. Xie, H. Xu, Z. Xiong, Y. Li and Z. Cai, A Self-Supervised Purification Mechanism for Adversarial Samples [C]. 2022 IEEE Smart Data (SmartData), 2022: 501-509. (Best Paper Award) Download paper here
Published in , 2022
[TII] S. De, H. Xu, M. Bermudez-Edo, Z. Cai, Deep Generative Models in the Industrial Internet of Things: A Survey [J]. IEEE Transaction on Industrial Informatics (TII), 2022, 18(9): 5728-5737.(IF: 10.215) Download paper here
Published in , 2022
[IoTJ] H. Xu, Z. Cai, D. Takabi and W. Li, Audio-Visual Autoencoding for Privacy-Preserving Video Streaming [J]. IEEE Internet of Things Journal (IoTJ), 2021, 9(3): 1749-1761.(IF: 9.936) Download paper here
Published in , 2022
[TKDD] H. Xu, Z. Cai and W. Li, Privacy-Preserving Mechanisms for Multi-Label Image Recognition [J]. ACM Transactions on Knowledge Discovery from Data (TKDD), 2022, 16(4): 1-21.(IF: 4.54) Download paper here
Published in , 2021
[COCOA] H. Xu, Z. Cai and W. Li, Which Option Is a Better Way to Improve Transfer Learning Performance? [C]. International Conference on Combinatorial Optimization and Applications (COCOA), Springer, Cham, 2021: 61-74. Download paper here
Published in , 2021
[CSUR] Z. Cai, Z. Xiong, H. Xu, P. Wang, W. Li and Y. Pan, Generative Adversarial Networks: A Survey Toward Private and Secure Applications [J]. ACM Computing Surveys (CSUR), 2021, 54(6): 1-38.(IF: 10.282) Download paper here
Published in , 2021
[TVT] Z. Xiong, H. Xu, W. Li and Z. Cai, Multi-Source Adversarial Sample Attack on Autonomous Vehicles [J]. IEEE Transactions on Vehicular Technology (TVT), 2021, 70(3): 2822-2835.(IF: 5.978) Download paper here
Published in , 2019
[Neurocomputing] Z. Kang, H. Xu, B. Wang, H. Zhu and Z. Xu, Clustering with Similarity Preserving [J]. Neurocomputing, 2019, 365(6): 211-218.(IF: 5.719) Download paper here
Published in , 2019
[Entropy] M. Li, H. Xu and Y. Deng, Evidential Decision Tree based on Belief Entropy [J]. Entropy, 2019, 21(9): 897.(IF: 2.738) Download paper here
Published in , 2019
[IJIS] H. Xu and Y. Deng, Dependent Evidence Combination based on Decision-Making Trial and Evaluation Laboratory Method [J]. International Journal of Intelligent Systems, 2019, 34(7): 1555-1571.(IF: 8.993) Download paper here
Published in , 2017
[IEEE Access] H. Xu and Y. Deng, Dependent Evidence Combination based on Shearman Coefficient and Pearson Coefficient [J]. IEEE ACCESS, 2018, 6: 11634-11640.(IF: 3.476) Download paper here