2024
[1] Tantan Zhao, Fan Li*, Lijun He, Secure Video Offloading in Multi-UAV-Enabled MEC Networks: A Deep Reinforcement Learning Approach, IEEE Internet of Things Journal, vol. 11, no. 2, pp. 2950-2963, 2024. DOI: 10.1109/JIOT.2023.3296613
[2] Tantan Zhao, Fan Li*, Lijun He, Secure Video Offloading in MEC-Enabled IIoT Networks: A Multi-cell Federated Deep Reinforcement Learning Approach, IEEE Transactions on Industrial Informatics, vol 20, no. 2, pp. 1618-1629, 2024. DOI: 10.1109/TII.2023.3280314
[3] Le Yang, Ziwei Zheng, Jian Wang, Shiji Song, Gao Huang, and Fan Li*, AdaDet: An Adaptive Object Detection System based on Early-exit Neural Networks, IEEE Transactions on Cognitive and Developmental Systems, vol. 16, no. 1, pp. 332-345, 2024. DOI: 10.1109/TCDS.2023.3274214
[4] Ziwei Zheng, Le Yang*, Yulin Wang, Miao Zhang, Lijun He, Gao Huang, Fan Li, Dynamic Spatial Focus for Efficient Compressed Video Action Recognition, IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 2, pp. 695-708, 2024. DOI: 10.1109/TCSVT.2023.3287201
[5] Jian Wang, Fan Li*, Xuchong Zhang, Hongbin Sun, Adversarial Obstacle Generation against LiDAR-Based 3D Object Detection, IEEE Transactions on Multimedia, vol. 26, pp. 2686-2699, 2024. DOI: 10.1109/TMM.2023.3302018
[6] Zixi Wang, Fan Li*, Yunfei Zhang, Yuan Zhang, Low-Rate Feature Compression for Collaborative Intelligence: Reducing Redundancy in Spatial and Statistical Levels, IEEE Transactions on Multimedia, vol. 26, pp. 2756-2771, 2024. DOI: 10.1109/TMM.2023.3303716
[7] Jian Wang, Fan Li*, Yi An, Xuchong Zhang, Hongbin Sun, Toward Robust LiDAR-Camera Fusion in BEV Space via Mutual Deformable Attention and Temporal Aggregation, IEEE Transactions on Circuits and Systems for Video Technology, published online, 2024. DOI: 10.1109/TCSVT.2024.3366664
[8] Lijun He, Miao Zhang, Hao Liu, Liejun Wang, Fan Li, Compressed Video Anomaly Detection of Human Behavior Based on Abnormal Region Determination, IEEE Transactions on Cognitive and Developmental Systems, published online, 2024. DOI: 10.1109/TCDS.2024.3367493
[9] Yixing Yong, Jian Wang, Fan Li*, Class Aware Prediction: A Solution to Center Point Collision for Anchor Free Object Detection in Aerial Images, IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024. DOI: 10.1109/LGRS.2024.3368619
[10] Lijun He*, Zhihan Ren, Wanyue Zhang, Fan Li, Shaohui Mei*, Unsupervised Pansharpening Based on Double-Cycle Consistency, IEEE Transactions on Geoscience and Remote Sensing, Published online, 2024. DOI: 10.1109/TGRS.2024.3371971
2023
[1] Xiaodi Guan, Fan Li*, Yangfan Zhang, Pamela C. Cosman, End-to-End Blind Video Quality Assessment Based on Visual and Memory Attention Modeling, IEEE Transactions on Multimedia, vol. 25, pp. 5206-5221, 2023. DOI: 10.1109/TMM.2022.3189251
[2] Le Yang, Zelin Yang, Shiji Song, Fan Li*, C. L. Philip Chen, Twin Broad Learning System for Fault Diagnosis of Rotating Machinery, IEEE Transactions on Instrumentation & Measurement, vol. 71, 2023. DOI: 10.1109/TIM.2023.3259022
[3] Xin Fang, Yiping Duan, Qiyuan Du, Xiaoming Tao, Fan Li, Sketch Assisted Face Image Coding for Human and Machine Vision: A Joint Training Approach, IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 10, pp.6086-6100, 2023. DOI: 10.1109/TCSVT.2023.3262251
[4] Mingyang Ma, Shaohui Mei*, Fan Li*, Yaoyang Ge, Qian Du, Spectral Correlation Based Diverse Band Selection for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-13, 2023. DOI: 10.1109/TGRS.2023.3263580
[5] Lijun He*, Ziqing Wang, Liejun Wang, Fan Li, Multimodal Mutual Attention-Based Sentiment Analysis Framework Adapted to Complicated Contexts, IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 12, pp. 7131-7143, 2023. DOI: 10.1109/TCSVT.2023.3276075
[6] Tantan Zhao, Fan Li*, Lijun He, DRL-Based Secure Aggregation and Resource Orchestration in MEC-Enabled Hierarchical Federated Learning, IEEE Internet of Things Journal, vol. 10, no. 20, pp.17865-17880, 2023. DOI: 10.1109/JIOT.2023.3277553
[7] Tantan Zhao, Fan Li*, Lijun He, DRL-Based Joint Resource Allocation and Device Orchestration for Hierarchical Federated Learning in NOMA-Enabled Industrial IoT, IEEE Transactions on Industrial Informatics, vol. 19, no. 6, pp.7468-7479, 2023. DOI: 10.1109/TII.2022.3170900
[8] 秦志金,赵菼菼,李凡,陶晓明,多模态语义通信研究综述,通信学报,2023,44(5): 28-41. DOI: 10.11959/j.issn.1000-436x.2023105
[9] Xiaodi Guan, Fan Li*, Xingliang Zhang, Mingyang Ma, Shaohui Mei*, Assessing Full-Resolution Pansharpening Quality: A Comparative Study of Methods and Measurements, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 680-6875, 2023. DOI: 10.1109/JSTARS.2023.3298104
[10] Zuzheng Kuang, Haixia Bi*, and Fan Li, Complex-valued Self-supervised PolSAR Image Classification Integrating Attention Mechanism, IGARSS 2023
[11] Nan Shi, Ping Wang*, Fan Li, Domain-specific Knowledge-driven Pan-sharpening Algorithm, Neurocomputing, vol. 520, 129-140, 2023. DOI: 10.1016/j.neucom.2022.11.068
2022
[17] Xiaodi Guan, Fan Li*, Zhiwei Huang, Hantao Liu, Study of Subjective and Objective Quality Assessment of Night-time Videos, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 10, pp. 6627-6641, 2022. DOI: 10.1109/TCSVT.2022.3177518
[16] Jian Wang, Fan Li*, Haixia Bi, Gaussian Focal Loss: Learning Distribution Polarized Angle Prediction for Rotated Object Detection in Aerial Images, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, Article Sequence Number: 4707013, 2022. DOI: 10.1109/TGRS.2022.3175520
[15] Tantan Zhao, Lijun He, Xinyu Huang, Fan Li*, DRL-Based Secure Video Offloading in MEC-Enabled IoT Networks, IEEE Internet of Things Journal, Published Online, 2022. DOI: 10.1109/JIOT.2022.3161680
[14] Taiyu Wang, Fan Li*, Pamela C. Cosman, Learning-based Rate Control for Video-based Point Cloud Compression, IEEE Transactions on Image Processing, vol. 31, pp. 2175-2189, 2022. DOI:10.1109/TIP.2022.3152065
[13] Yixin Mei, Li Li, Zhu Li, Fan Li*, Learning-Based Scalable Image Compression with Latent-Feature Reuse and Prediction, IEEE Transactions on Multimedia, Published Online, 2021. DOI: 10.1109/TMM.2021.3114548
[12] Tantan Zhao, Lijun He, Xinyu Huang, Fan Li*, QoE-Driven Secure Video Transmission in Cloud-Edge Collaborative Networks, IEEE Transactions on Vehicular Technology, vol. 71, no. 1, pp. 681-696, Jan. 2022. DOI: 10.1109/TVT.2021.3123787
[11] Zixi Wang, Fan Li*, Jing Xu, Pamela C. Cosman, Human-Machine Interaction Oriented Image Coding for Resource-Constrained Visual Monitoring in IoT, IEEE Internet of Things Journal, Published Online, 2022. DOI: 10.1109/JIOT.2022.3150417
[10] Xiaohan Yang, Fan Li*, Leida Li, Ke Gu, Hantao Liu, Study of Natural Scene Categories in Measurement of Perceived Image Quality, IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-12, 2022. DOI: 10.1109/TIM.2022.3154808
[9] Lijun He, Miao Zhang, Sijin Zhang, Liejun Wang, Fan Li*, MTRFN: Multiscale Temporal Receptive Field Network for Compressed Video Action Recognition at Edge Servers, IEEE Internet of Things Journal, vol. 9, no. 15, pp. 13965-13977, 2022. DOI: 10.1109/JIOT.2022.3142759
[8] Haoyu Shi, Fan Li*, Patch Re-segmentation and Packing for Dynamic Point Cloud Compression via Back-and-Forth Structure, IEEE Open Journal of Signal Processing, Published Online, 2022. DOI: 10.1109/OJSP.2022.3160392
[7] Xinyu Huang, Lijun He*, Xing Chen, Liejun Wang, Fan Li, Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach, IEEE Internet of Things Journal, Published Online, 2021. DOI: 10.1109/JIOT.2021.3116108
[6] Lijun He*, Wanyue Zhang, Jiankang Shi, Fan Li, Cross-Domain Association Mining Based Generative Adversarial Network for Pansharpening, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 7770-7783, 2022. DOI: 10.1109/JSTARS.2022.3204824
[5] Lijun He, Nan Shi, Kainnat Malik, Fan Li*, Unsupervised Defect Inspection Algorithm based on Cascaded GAN with Edge Repair Feature Fusion, Applied Intelligence, vol. 52, pp. 2051-2069, 2022. DOI: 10.1007/s10489-021-02556-3
[4] Hong Zhang, Fan Li*, Zhisheng Yan, A Novel Transmission Approach Based on Video Content for 360-Degree Streaming, Multimedia Tools and Applications, Accepted for publication, 2022. DOI: 10.1007/s11042-022-11938-9
[3] Xiaoli Gong, Hangyu Hu, Zhengwei Wu, Lijun He, Le Yang, Fan Li*, Dark-Channel based Attention and Classifier Retraining for Smoke Detection in Foggy Environments, Digital Signal Processing, vol. 123, pp. 103454, April 2022. DOI: 10.1016/j.dsp.2022.103454
[2] 左龙, 张鹏, 荆树旭, 赵一, 李凡*. 用于图像超分辨率重建的双通道残差网络,西安交通大学学报. 第56卷第1期,2022年1月
[1] Xin Fang, Fan Li, CS-GAN: Centrosymmetric Generative Adversarial Network for Cross-Media Retrieval, IVSP 2022.
2021
[16] Taiyu Wang, Fan Li*, Xiaoya Qiao, Pamela C. Cosman. Low-Complexity Error Resilient HEVC Video Coding: A Deep Learning Approach, IEEE Transactions on Image Processing, vol. 30, pp. 1245-1260, 2021. DOI: 10.1109/TIP.2020.3043124
[15] Xiaohan Yang, Fan Li*, Hantao Liu. TTL-IQA: Transitive Transfer Learning based No-reference Image Quality Assessment, IEEE Transactions on Multimedia, vol. 23, pp. 4326-4340, 2021. DOI: 10.1109/TMM.2020.3040529
[14] Fan Li*, Yangfan Zhang, Pamela C. Cosman. MMMNet: An End-to-End Multi-task Deep Convolution Neural Network with Multi-scale and Multi-hierarchy Fusion for Blind Image Quality Assessment, IEEE Transactions on Circuits and System for Video Technology, vol. 31, no. 12, pp. 4798-4811, 2021. DOI: 10.1109/TCSVT.2021.3055197
[13] Xiaohan Yang, Fan Li*, Hantao Liu. A Measurement for Distortion Induced Saliency Variation in Natural Images, IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-14, 2021. DOI: 10.1109/TIM.2021.3108538
[12] Xinyu Huang, Lijun He*, Liejun Wang, Fan Li. Towards 5G: Joint Optimization of Video Segment Caching, Transcoding and Resource Allocation for Adaptive Video Streaming in a Multi-access Edge Computing Network, IEEE Transactions on Vehicular Technology, vol. 70, no. 10, pp. 10909-10924, 2021. DOI: 10.1109/TVT.2021.3108152
[11] Lijun He, Xiaoli Gong, Sirou Zhang, Liejun Wang, Fan Li*. Efficient Attention Based Deep Fusion CNN for Smoke Detection in the Fog Environment, Neurocomputing, vol. 434, pp. 224-238, April 2021. DOI: 10.1016/j.neucom.2021.01.024
[10] Jian Wang, Le Yang, Fan Li*. Predicting Arbitrary-Oriented Objects as Points in Remote Sensing Images, Remote Sensing, vol. 13, pp. 3731, 2021. DOI: doi.org/10.3390/rs13183731
[9] Le Yang, Yiming Chen, Shiji Song, Fan Li, Gao Huang, Deep Siamese Networks based Change Detection with Remote Sensing Images, Remote Sensing, vol. 13, no. 17, pp. 3394, 2021. DOI: 10.3390/rs13173394
[8] Zixi Wang, Fan Li*, Convolutional Neural Network based Low Complexity HEVC Intra Encoder, Multimedia Tools and Applications, vol. 80, no. 2, pp. 2441-2460, 2021. DOI: 10.1007/s11042-020-09231-8
[7] Hong Zhang, Fan Li*, Zhisheng Yan, Feature Fusion Quality Assessment Model for DASH Video Streaming, IET Image Processing, vol. 15, no. 1, pp. 127-142, 2021. DOI: 10.1049/ipr2.12012
[6] Lijun He, Shuai Wen, Liejun Wang, Fan Li*, Vehicle Theft Recognition from Surveillance Video Based on Spatiotemporal Attention, Applied Intelligence, vol. 51, pp. 2128-2143, 2021. DOI: 10.1007/s10489-020-01933-8
[5] Zixi Wang, Guiguang Ding, Jungong Han, Fan Li*, Deep image compression with multi-stage representation, Journal of Visual Communication and Image Representation, vol. 79, pp. 103226, 2021. DOI: 10.1016/j.jvcir.2021.103226
[4] Ziwei Zheng, Le Yang, Liejun Wang, Fan Li*, AD-DARTS: Adaptive Dropout for Differentiable Architecture Search, CICAI 2021, Hangzhou, China, June 5–6, 2021.
[3] Yixin Mei, Fan Li, Li Li, Zhu Li, Learn a Compression for Objection Detection - VAE with a Bridge, VCIP 2021.
[2] Lijun He, Miao Zhang, Sijin Zhang, Fan Li. Physical knowledge driven multiscale temporal receptive field network for compressed video action recognition, UbiComp’21: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, September 2021, Pages 625–630.
[1] Le Yang, Xiaoli Gong, Zhengwei Wu, Yizeng Han, Lijun He, Fan Li, Dark-channel mixed attention based neural networks for smoke detection in fog environment, UbiComp’21: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, September 2021, Pages 691–696.