Publications (Ph.D., 1st) 

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C. Huang, J. Shen, B. Hu, M. Ali and J. Zhang, "Semantic and Visual Attention-Driven Multi-LSTM Network for Automated Clinical Report Generationn," 2024 The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024. 

- (Invited to expand into a book: AI for Health Equity and Fairness)

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J. Shen, M. Ali, C. Huang, B. Hu, X. Xie and J. Zhang, "Temporal Graph Neural Networks For Paper Recommendation on Dynamic Citation Networks," 2024 The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), Workshop, Vancouver, Canada, 2024. 

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C. Huang, J. Shen, B. Hu, Q. Luo, D. Chen, K. Kooner, T. Lee and J. Zhang, "CA-TriNet: Digging Image-to-Text Essence through  Adaptive Co-Attention Head Distribution and Triple-LSTM Module for Medical Report Generation," the 2024 Conference on Empirical Methods in Natural Language Processing, (EMNLP). (submitted and reviewing)

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C. Huang, J. Shen, B. Hu, Q. Luo, D. Chen, K. Kooner, T. Lee, Y. Yu, Z. Nima and J. Zhang, "DA-SPL: Dual-Attention Semantic Parallel-LSTM Network for Medical Report Generation," IEEE Transactions on Medical Imaging (IEEE TMI). (submitted and reviewing)

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C. Huang, J. Shen, B. Hu, T. Lee and J. Zhang, "Graph Neural Network-Powered Method Supporting Local Context-Aware Citation Recommendation," Pattern Recognition and Machine Learning

​ (PRML). (submitted and reviewing)

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C. Huang, J. Shen, B. Hu, Q. Luo, K. Kooner, T. Lee and J. Zhang,"Digging Image-to-Text Essence by Adaptive Attention Head Distribution for Medical Report Generation," The European Conference on Computer Vision (ECCV). (submitted and reviewing)

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C. Huang, J. Shen, B. Hu, Q. Luo, B. Dong, D. Chen, K. Kooner, T. Lee and J. Zhang, "Computer-Assisted Glaucoma Diagnosis based on AI Technology: A Comprehensive Survey," IEEE Transactions on Medical Imaging (IEEE TMI). (working on)

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Publications (Undergraduate and Master) 

 

C. Huang, Y. Yu and M. Qi, "Skin Lesion Segmentation Based on Deep Learning," 2020 IEEE 20th International Conference on Communication Technology (ICCT), Nanning, China, 2020, pp. 1360-1364.

- (The Best Undergraduate Design Rank: 2/632, 2020)

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C. Huang, A. Yu, Y. Wang and H. He, "Skin Lesion Segmentation Based on Mask R-CNN," 2020 International Conference on Virtual Reality and Visualization (ICVRV), Recife, Brazil, 2020, pp. 63-67. 

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T. Zhou and C. Huang, "UAV Automatic Docking Technology Based on Deep Learning," 2020 International Conference on Computing and Data Science (CDS), Stanford, CA, USA, 2020, pp. 448-453. 

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Y. Wang, Y. Rao, C. Huang, Y. Yang, Y. Huang and Q. He, "Using the Improved Mask R-cnn and Softer-nms for Target Segmentation of Remote Sensing Image," 2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI), Yibin, China, 2021, pp. 91-95. 

- (The Exellcent Paper Presentation Award)

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Y. Yi, Y. Rao, C. Huang, S. Zeng, Y. Yang, Q. He and X. Chen, "Optimization of Quantum Key Distribution Parameters Based on Random Forest," 2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI), Yibin, China, 2021, pp. 164-168. 

- (The Exellcent Paper Presentation Award)

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C. Huang, A. Yu and H. He, "Using combined Soft-NMS algorithm Method with Faster R-CNN model for Skin Lesion Detection," 2020 6th International Conference on Robotics and Artificial Intelligence (ICRAI), Nov 2020, pp. 5–8. 

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C. Huang, Y. Liu, J. Li, H. Tian and H. Chen, "Application of YOLOv5 for mask detection on IoT ," Proceedings of the 5th International Conference on Computing and Data Science, 2023. 

- (Invited to expand into a journal)

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Y. Lin, Q. Tang, H. Wang, C. Huang, E. Favour, X. Wang, X. Feng and Y. Yu, "Attention Enhanced Network with Semantic Inspector for Medical Image Report Generation," 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), Atlanta, GA, USA, 2023, pp. 242-249. 

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C. Huang, Y. Liu, J. Li, H. Tian and H. Chen, "Application of YOLOv5 for mask detection on IoT ," Applied and Computational Engineering, Vol. 29, pp. 1-11, 2023. 

- (The Cover Paper, 2023)

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Q. Lv, Y. Rao, S. Zeng, C. Huang and Z. Cheng, "Small-Scale Robust Digital Recognition of Meters Under Unstable and Complex Conditions," in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-13, 2022. 

- (The Best Paper and The Cover Paper, 2022, IEEE TIM)

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Y. Rao, Q. Lv, S. Zeng, Y. Yi, C. Huang, Y. Gao, Z. Cheng and J. Sun, "COVID-19 CT ground-glass opacity segmentation based on attention mechanism threshold," in Biomedical Signal Processing and Control, vol. 81, 2023.

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Y. Yu, X. Hu, Y. Fu, C. Huang, etc."Nanomemristors and Neuromorphic Computing (Neuromorphic Circuits for Nanoscale Devices)," 2022.

- Book​ (Participated in editing, the thesis (undergraduate project) was included in Chapter 7)​

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Some Interesting Work

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Y. Sun, J. Qi, R. Wen, H. Tian, C. Huang and K. Zao, "Pedestrian Tracking based on Improved YOLOv5," PDF.

R. Wen, J. Qi, Y. Sun, H. Tian, C. Huang and K. Zao, "Faced-mask Detection based on YOLOv4," PDF.

H. Tian, J. Qi, Y. Sun, Z. Zhang, R. Wen, C. Huang and K. Zao, "Auxiliary Use of YOLOv5 in FPS Shooting Competitive Games," PDF.