学术论文： （1）Yang B, Lu Y, Wan R, et al. Meta-IRLSOT++: A meta-inverse reinforcement learning method for fast adaptation of trajectory prediction networks[J]. Expert Systems with Applications, 2024, 240: 122499. （2）Yang B, Zhu J, Yu Z, et al. Fast Adaptation Trajectory Prediction Method Based on Online Multisource Transfer Learning[J]. IEEE Transactions on Automation Science and Engineering, 2024. （3）Yang B, Zhu J, Hu C, et al. Faster pedestrian crossing intention prediction based on efficient fusion of diverse intention influencing factors[J]. IEEE Transactions on Transportation Electrification, 2024. （4）Yang B, Yang S, Wang P, et al. FRPNet: An improved Faster-ResNet with PASPP for real-time semantic segmentation in the unstructured field scene[J]. Computers and Electronics in Agriculture, 2024, 217: 108623. （5）Yang B, He C, Wang P, et al. TPPO: A Novel Trajectory Predictor With Pseudo Oracle[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024. （6）Yang B, Fan F, Ni R, et al. A multi-task learning network with a collision-aware graph transformer for traffic-agents trajectory prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2024. （7）Yang B, Wei Z, Hu H, et al. DPCIAN: A novel dual-channel pedestrian crossing intention anticipation network[J]. IEEE Transactions on Intelligent Transportation Systems, 2023. （8）Yang B, Wang P, Cao M, et al. Uncertainty-Aware Label Contrastive Distribution Learning for Automatic Depression Detection[J]. IEEE Transactions on Computational Social Systems, 2023. （9）Ni R, Yang B, Zhou X, et al. Diverse local facial behaviors learning from enhanced expression flow for microexpression recognition[J]. Knowledge-Based Systems, 2023, 275: 110729. （10）Ni R, Yang B, Wei Z, et al. Pedestrians crossing intention anticipation based on dual‐channel action recognition and hierarchical environmental context[J]. IET Intelligent Transport Systems, 2023, 17(2): 255-269. （11）Yang B, Yang J, Ni R, et al. Multi-granularity scenarios understanding network for trajectory prediction[J]. Complex & Intelligent Systems, 2023, 9(1): 851-864. （12）Yang B, Fan F, Ni R, et al. Continual learning-based trajectory prediction with memory augmented networks[J]. Knowledge-Based Systems, 2022, 258: 110022. （13）He C, Chen L, Xu L, et al. IRLSOT: Inverse reinforcement learning for scene‐oriented trajectory prediction[J]. IET Intelligent Transport Systems, 2022, 16(6): 769-781. （14）Ni R, Yang B, Zhou X, et al. Facial expression recognition through cross-modality attention fusion[J]. IEEE Transactions on Cognitive and Developmental Systems, 2022, 15(1): 175-185. （15）Yang B, Yan G, Wang P, et al. A novel graph-based trajectory predictor with pseudo-oracle[J]. IEEE transactions on neural networks and learning systems, 2021, 33(12): 7064-7078. （16）Yang B, Zhan W, Wang P, et al. Crossing or not? Context-based recognition of pedestrian crossing intention in the urban environment[J]. IEEE transactions on intelligent transportation systems, 2021, 23(6): 5338-5349. （17）He C, Yang B, Chen L, et al. An adversarial learned trajectory predictor with knowledge-rich latent variables[C]//Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Cham: Springer International Publishing, 2020: 42-53. （18）Yang B, Zhan W, Wang N, et al. Counting crowds using a scale-distribution-aware network and adaptive human-shaped kernel[J]. Neurocomputing, 2020, 390: 207-216. （19）Yang B, Cao J, Liu X, et al. Edge computing-based real-time passenger counting using a compact convolutional neural network[J]. Neural Computing and Applications, 2020, 32(9): 4919-4931. （20）Cao J, Yang B, Nan W, et al. Robust crowd counting based on refined density map[J]. Multimedia Tools and Applications, 2020, 79(3): 2837-2853. （21）Yang B, Cao J, Wang N, et al. Anomalous behaviors detection in moving crowds based on a weighted convolutional autoencoder-long short-term memory network[J]. IEEE Transactions on Cognitive and Developmental Systems, 2018, 11(4): 473-482. （22）Yang B, Cao J M, Jiang D P, et al. Facial expression recognition based on dual-feature fusion and improved random forest classifier[J]. Multimedia Tools and Applications, 2018, 77: 20477-20499. （23）Yang B, Cao J, Wang N, et al. Counting challenging crowds robustly using a multi-column multi-task convolutional neural network[J]. Signal Processing: Image Communication, 2018, 64: 118-129. （24）Yang B, Cao J M, Wang N, et al. Cross-scene counting based on domain adaptation-extreme learning machine[J]. IEEE Access, 2018, 6: 17029-17038. （25）Yang B, Cao J, Ni R, et al. Facial expression recognition using weighted mixture deep neural network based on double-channel facial images[J]. IEEE access, 2017, 6: 4630-4640. （26）Yang B, Cao J, Zou L. Moving object detection based on on-line block-robust principal component analysis decomposition[J]. Modern Physics Letters B, 2017, 31(19-21): 1740040. （27）Yang B, Zou L. Robust foreground detection using block-based RPCA[J]. Optik, 2015, 126(23): 4586-4590.
专利： （1）面向面部表情识别的双通道卷积神经网络（ZL201810599295.7），授权； （2）加权卷积自编码长短期记忆网络人群异常检测方法（ZL201810385430.8），授权； （3）一种对静止图像进行人群计数的方法（ZL201711179075.0），授权； （4）一种基于穿越动作和交通场景上下文因素的行人穿越马路意图识别方法（ZL202011276593.6），授权； （5）一种基于注意力机制融合的多通道卷积神经网络人脸表情识别方法合的多通道卷积神经网络人脸表情识别方法（ZL202011276595.5），授权； （6）一种基于图注意力自编码模型的的路侧端行人轨迹预测算法（ZL202011229257.6），授权； |
