Research Award
- Outstanding Research Award, $500, Department of Computer Science, GSU, Spring 2022.
Posts by Collection
accomplishment
Fellowship
- First-Year Scholars 2024-2025, $1,000, KSU, 2024
- Summer Research Camp Fellowship, $10,000, KSU, 2024
- Brains and Behavior Fellowship, $19,000/yr, Neuroscience Institute, GSU, 2021, 2022, and 2023.
news
News
- Our research paper “APOLLO: Differential Private Online Multi-Sensor Data Prediction with Certified Performance” has been accepted by ICDM 2024. (09-11-2024)
- Our research paper “Overheard: Audio-based Integral Event Inference” has been accepted by ACM Journal of Data and Information Quality. (09-09-2024)
portfolio
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publications
Dependent Evidence Combination based on Shearman Coefficient and Pearson Coefficient.
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
Dependent Evidence Combination based on Decision-Making Trial and Evaluation Laboratory Method
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
Evidential Decision Tree based on Belief Entropy
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
Clustering with Similarity Preserving
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
Multi-Source Adversarial Sample Attack on Autonomous Vehicles
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
Generative Adversarial Networks: A Survey toward Private and Secure Applications
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
Which Option is a Better Way to Improve Transfer Learning Performance?
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
Privacy-Preserving Mechanisms for Multi-Label Image Recognition
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
Audio-Visual Autoencoding for Privacy-Preserving Video Streaming
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
Deep Generative Models in the Industrial Internet of Things: A Survey
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
A Self-Supervised Purification Mechanism for Adversarial Samples
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
Efficient CityCam-to-Edge Cooperative Learning for Vehicle Counting in ITS
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
Analysis on Methods to Effectively Improve Transfer Learning Performance
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
Lightweight Super-Resolution Model for Complete Model Copyright Protection
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
Backdoor Attack on 3D Grey Image Segmentation
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
Security Risks Concerns of Generative AI in the IoT
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
Overheard: Audio-based Integral Event Inference
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
APOLLO: Differential Private Online Multi-Sensor Data Prediction with Certified Performance
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
service
Conference Review
- CVPR 2024 Workshop SynData4CV (CVPR 2024)
- 20th International Conference on Learning Representations (ICLR 2024)
- 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024)
- NIPS 2023 Track Datasets and Benchmarks (NIPS 2023)
- ICML 2023 Workshop AdvML-Frontiers (ICML 2023)
- 2023 IEEE/CIC International Conference on Communications in China (ICCC 2023)
- 29th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining (KDD 2023)
- 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023)
- 2022 EAI International Conference on Wireless Internet Conference (EAI WiCON 2022)
- 2021 IEEE Global Communcations Conference (GLOBECOM 2021)
Editor Service
- Guest editor for Tsinghua Science and Technology
- Guest editor for IET Communications
Journal Review
- IEEE Transactions on Industrial Informatics (TII) (Impact Factor: 10.215)
- IEEE Transactions on Mobile Computing (TMC) (Impact Factor: 7.9)
- IEEE Transactions on Vehicle Technology (TVT) (Impact Factor: 5.978)
- IEEE Transactions on Computational Social Systems (TCSS) (Impact Factor: 5.14)
- IEEE Internet of Things Journal (IoTJ) (Impact Factor: 9.936)
- IEEE Transactions on Wireless Communication (TWC) (Impact Factor: 7.016)
- International Journal of Computer Vision (Impact Factor: 7.41)
- Neurocomputing (Impact Factor: 5.719)
- Scientific Reports (Impact Factor: 4.996)
- Computational Intelligence and Neuroscience (Impact Factor: 3.633)
- Computer Communications (ComCom) (Impact Factor: 3.167)
Program Committee Member
- 2024 International Conference on Mobility, Sensing and Networking (MSN 2024, Track Chair)
- 2024 International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA 2024, TPC member)
- 2024 Annual Conference on Neural Information Processing (NIPS 2024)
- 2024 International Conference on Machine Learning (ICML 2024)
- 2024 International Computing and Combinatorics Conference (COCOON 2024)
- 2024 Annual AAAI Conference on Artificial Intelligence (AAAI 2024)
- 2024 SIAM International Conference on Data Mining (SDM 2024)
- 2023 IEEE International Conference on Meta Computing (ICMC 2023)
talks
teaching
Lab Instructor (Principle of Programming for Data Science II)
Undergraduate Course, Georgia State University, Department of Computer Science, 2020
Lab Instructor (Principle of Programming for Data Science II)
Undergraduate Course, Georgia State University, Department of Computer Science, 2021
Lab Instructor (Principle of Programming for Data Science II)
Undergraduate Course, Georgia State University, Department of Computer Science, 2021
Lab Instructor (Principle of Programming for Data Science I)
Undergraduate Course, Georgia State University, Department of Computer Science, 2022
Lab Instructor (Computer Organization and Programming)
Undergraduate Course, Georgia State University, Department of Computer Science, 2022
Lab Instructor (Computer Organization and Programming)
Undergraduate Course, Georgia State University, Department of Computer Science, 2022
Teaching Assistant (Secure and Private AI)
Graduate Course, Georgia State University, Department of Computer Science, 2023
Teaching Assistant (Network Security)
Graduate Course, Georgia State University, Department of Computer Science, 2023
Teaching Assistant (Privacy Aware Computing)
Graduate Course, Georgia State University, Department of Computer Science, 2023
Assistant Professor (Unix/Linux Administration)
Undergraduate Course, Kennesaw State University, Department of Information Technology, 2024
Assistant Professor (Business Intelligence)
Graduate Course, Kennesaw State University, Department of Information Technology, 2024