硕士生导师
个人信息Personal Information
学历：博士研究生毕业
学位：工学博士学位
办公地点：西南交通大学 犀浦校区
毕业院校：电子科技大学
学科：交通信息工程及控制. 计算机科学与技术. 模式识别与智能系统. 控制理论与控制工程
所在单位：信息科学与技术学院
报考该导师研究生的方式
欢迎你报考邓涛老师的研究生，报考有以下方式：
1、参加西南交通大学暑期夏令营活动，提交导师意向时，选择邓涛老师，你的所有申请信息将发送给邓涛老师，老师看到后将和你取得联系，点击此处参加夏令营活动
2、如果你能获得所在学校的推免生资格，欢迎通过推免方式申请邓涛老师研究生，可以通过系统的推免生预报名系统提交申请，并选择意向导师为邓涛老师，老师看到信息后将和你取得联系，点击此处推免生预报名
3、参加全国硕士研究生统一招生考试报考邓涛老师招收的专业和方向，进入复试后提交导师意向时选择邓涛老师。
4、如果你有兴趣攻读邓涛老师博士研究生，可以通过申请考核或者统一招考等方式报考该导师博士研究生。
研究领域：
[1]视觉认知与计算，脑认知科学，视觉注意，生物视觉计算
[2]图像/视频处理，计算机视觉，深度学习，模式识别
[3]智能交通驾驶
已发表论文：
[1] Tao Deng, Shengqi Chen, Chengfan Yang, Yi Huang, Buyun Ma, Yang Chen. Precise Positioning of Ultrasound-Guided Fine-Needle Aspiration Biopsy of Thyroid Nodule. Pattern Recognition, 2026.
[2] Bowei Fang, Yunyi Tang, Wentao Mu, Wenbo Liu, Fei Yan, Tao Deng*. DDL-Net: A Task-Balanced Panoptic Perception Network with Channel-Reorganized Attention in Autonomous Driving. ICMR 2026.
[3] Shengqi Chen, Yang Chen, Tao Deng*. Dynamic Puncture Positioning Detection for Thyroid Nodules Via Local-Global Temporal Fusion, ICASSP 2026.
[4] Shengqi Chen, Yi Huang, Haoran Liu, Wenbo Liu, Tao Deng*. PnP-SAF: A Plug-and-Play Semantic-Attribute Fusion Framework for Data-Efficient Medical Image Diagnosis, ISBI 2026.
[5] Haoran Liu, Wenbo Liu, Chunyu Zhao, Fei Yan, Tao Deng*. RTPNet: Robust Detection of Traffic Participants in Complex Driving Scenarios, ICASSP 2026.
[6] Bowei Fang, Wenbo Liu, Haoran Liu, Fei Yan, Tao Deng*. Hi-Former: A Hierarchical Transformer Pedestrian-Vehicle Detector, ICASSP 2026.
[7] Yunyi Tang, Bowei Fang, Chunyu Zhao, Haoran Liu, Fei Yan, Tao Deng*. Adverse Effect Removal Network via Unsupervised Weather Type Transfer, ICASSP 2026.
[8] Wenbo Liu, Haoran Liu, Chunyu Zhao, Tao Deng, Fei Yan*. A Dynamic Dual-Backbone Model for Adaptive Vehicle-Pedestrian Detection, ICASSP 2026.
[9] Tao Deng*, Chengfan Yang, Wenbo Liu, Chunyu Zhao, Ran Li, Yi Huang. TranSpikformer: Enhanced Transformer-based Spiking Neural Networks with Uniform Attention Augmentation and Depthwise Convolutional Positional Encoding. Knowledge-Based Systems, 2026.
[10] Chunyu Zhao, Tao Deng*, Pengcheng Du, Wenbo Liu, Yi Huang, Fei Yan. VP2Net: Visual Perception-Inspired Network for Exploring the Causes of Drivers’ Attention Shift. IEEE Transactions on Intelligent Transportation Systems (TITS). 2025.
[11] Chunyu Zhao, Wentao Mu, Xian Zhou, Wenbo Liu, Fei Yan, Tao Deng*. SalM2: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention, AAAI 2025.
[12] Tao Deng*, Yi Huang , and Chengfan Yang. Parallel Multi-Path Network for Ocular Disease Detection Inspired by Visual Cognition Mechanism. IEEE Journal of Biomedical and Health Informatics (JBHI), 2025, 29(1), 345-357.
[13] Tao Deng, Lianfang Jiang, Yi Shi, Jiang Wu, Zhangbi Wu, Shun Yan, Xianshi Zhang*, and Hongmei Yan*. Driving Visual Saliency Prediction of Dynamic Night Scenes via a Spatio-Temporal Dual-Encoder Network. IEEE Transactions on Intelligent Transportation Systems (TITS), 2024, 25 (3), 2413-2423.
[14] Yi Huang and Tao Deng*. Multi-level spatial-temporal and attentional information deep fusion network for retinal vessel segmentation. Physics in Medicine & Biology. 2023, 68 (19), 195026.
[15] Pengcheng Du#, Tao Deng#, Fei Yan*. What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model. International Joint Conference on Neural Networks (IJCNN), 2023.
[16] Han Tian, Tao Deng*, and Hongmei Yan. Driving as well as on a Sunny Day? Predicting Driver's Fixation in Rainy Weather Conditions via a Dual-branch Visual Model. IEEE/CAA Journal of Automatica Sinica, 2022, 9(7): 1335-1338.
[17] Long Qin, Yi Shi, Yahui He, Junrui Zhang, Xianshi Zhang, Yongjie Li, Tao Deng* and Hongmei Yan*. ID-YOLO: Real-Time Salient Object Detection Based on the Driver's Fixation Region. IEEE Transactions on Intelligent Transportation Systems (TITS), 2022, 23(9): 15898-15908.
[18] Jiyong Zhang, Tao Deng*, Fei Yan, Wenbo Liu. Lane Detection Model Based on Spatio-Temporal Network with Double Convolutional Gated Recurrent Units. IEEE Transactions on Intelligent Transportation Systems (TITS), 2022, 23(7): 6666-6678.
[19] Junfeng Zhang, Fei Yan, Tao Feng, Tao Deng, Yue Zhao. Fastest containment control of discrete-time multi-agent systems using static linear feedback protocol. Information Sciences, 2022, 614: 362-373.
[20] Jiyong Zhang, Tao Deng* and Fei Yan. TARConvGRU: A Cross-dimension Spatiotemporal Model for Lane Detection. International Joint Conference on Neural Networks (IJCNN), 2022, pp. 1-7, doi: 10.1109/IJCNN55064.2022.9892594.
[21] Lin Sun, Fei Yan, Tao Deng*, Chenran Jiang, Jun Li. A Lightweight Network with Lane Feature Enhancement for Multilane Drivable Area Detection. 14th International Conference on Wireless Communications and Signal Processing (WCSP), 2022.
[22] Yi Huang, Tao Deng*. STSANet: Retinal Vessel Segmentation via Spatial-Temporal and Self-Attention Encoding. 14th International Conference on Wireless Communications and Signal Processing (WCSP), 2022.
[23] Chenran Jiang, Fei Yan, Tao Deng*, Lin Sun, Jun Li. TSANet: Two-subnet Attention Network for Single Image Dehazing. 14th International Conference on Wireless Communications and Signal Processing (WCSP), 2022.
[24] Shihui Ji, Tao Deng*, Fei Yan and Pengcheng Du. A Driving Position-Sensitive Neural Network for Driver Fixation Prediction. 2022 41st Chinese Control Conference (CCC), 2022, pp. 6660-6665.
[25] Tao Deng*, Fei Yan, Hongmei Yan. Driving Video Fixation Prediction Model via Spatio-Temporal Networks and Attention Gates. IEEE International Conference on Multimedia and Expo (ICME), 2021, pp. 1-6, doi: 10.1109/ICME51207.2021.9428151.
[26] Tao Deng, Hongmei Yan, Long Qin, Thuyen Ngo, B.S. Manjunath. How Do Drivers Allocate Their Potential Attention?Driving Fixation Prediction via Convolutional Neural Networks. IEEE Transactions on Intelligent Transportation Systems (TITS),21(5): 2146-2154, 2020.
[27] Tao Deng, Hongmei Yan, Yongjie Li. Learning to Boost Bottom-up Fixation Prediction in Driving Environments via Random Forest. IEEE Transactions on Intelligent Transportation Systems (TITS), 19(9): 3059-3067, 2018.
[28] Tao Deng, Kaifu Yang, Yongjie Li, Hongmei Yan. Where does the driver look? Top-down-based saliency detection in a traffic driving environment. IEEE Transactions on Intelligent Transportation Systems (TITS), 17(7): 2051-2062, 2016.
[29] Tao Deng, Andong Chen, Min Gao, Hongmei Yan. Top-down based saliency model in traffic driving environment. IEEE International Conference on Intelligent Transportation Systems (ITSC), PP. 75-80, 2014.
[30] 邓涛, 罗恩晴, 张艳山, 颜红梅. 基于选择性注意的交通环境显著性及眼动特征研究. 电子科技大学学报, 43(4): 624-628, 2014.
[31] 邓涛, 颜红梅. 动态驾驶场景中驾驶员的眼动特性研究. 心理科学进展, 24(Suppl.): 54, 2016.
[32] Tao Deng, Enqing Luo, Hongmei Yan. Computational modeling of visual selective attention in road traffic environment. Psych Journal, 2: 15-16, 2013.
主持科研项目：
国家自然科学基金青年科学基金项目，复杂驾驶场景下基于时空注意的驾驶安全预测研究，2022.01-2024.12
四川省自然科学基金面上项目，视觉认知启发的全天候交通场景视觉注意计算方法研究，2025.01-2026.12
四川省自然科学基金青年基金，面向复杂天气条件的驾驶场景视觉注意计算模型，2023.01-2024.12
中国博士后科学基金特别资助（站前），面向复杂驾驶场景的驾驶安全预警研究，2021.07-2023.06
中国博士后科学基金面上资助，基于驾驶任务引导的时空注视信息检测模型研究，2021.11-2023.10
西南交通大学新型交叉学科培育基金，基于视觉认知机理的驾驶环境感知计算模型研究，2022.11-2024.10
四川省科技计划项目-科技创新创业项目，面向复杂驾驶场景的视觉感知计算模型，2020.01-2021.12
神经信息教育部重点实验室开放课题，复杂驾驶场景中的视觉注意理论及计算模型研究，2020.08-2021.12
中央高校基本科研业务费，基于视觉注意的计算模型在复杂驾驶场景中的应用，2019.01-2021.12