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2021年02月07日 10:49:59



姓    名薛万利

职    称讲师





2011.09-2019.01,天津大学 软件工程(硕)、计算机应用技术(博)


1. 国家自然科学基金青年项目,基于自适应外观模型及深度强化学习的视觉跟踪,2019/08-2022/12,27.6万元,在研,负责人

2. 天津市自然科学基金青年项目,基于动态语义化信息描述和深度强化学习决策机制的目标跟踪,2020/11-2022/03,6万元,在研,负责人

3. 国家自然科学基金重大集成项目,面向航空制造的人-机器人协作技术及应用研究,2020/12-2024/12,200万元,在研,第二参与人

4. 横向课题,手语数据平台,2021/02-2025/12,255万元,在研,负责人

5. 横向课题,多模态手/体势动作数据集建立及识别算法测试分析,2020/12-2022/05,45万元,在研,负责人

6. 国家工信部新一代人工智能产业创新重点任务揭榜仙姑,复杂场景下中国手语实时翻译系统,2018/12-2020/12,2000万元,结项,第三完成人

7. 天津市工信局,面向人工智能应用的高质量手语数据训练资源平台,2019/03-2021/12,1000万元,在研,第三参与人


1. Xue, W*., Xie, W., Zhang, Y., & Chen, S. (2021). Stable linear structures and seam measurements for parallax image stitching. IEEE Transactions on Circuits and Systems for Video Technology, 1–1.

2. Zhang, Z., Ren, X., Xue, W*., Zhang, C., Guo, Q., & Chen, S. (2021). Object-aware Ghost Identification and Elimination for Dynamic Scene Mosaic. IEEE Transactions on Circuits and Systems for Video Technology, 1–1.

3. Zhang, C., Jin, S., Xue, W*., Xie, X., Chen, S., & Chen, R. (2021). Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem. IEEE Transactions on Vehicular Technology, 70(8), 7426–7436.

4. Cheng, Z., Ren, X., Juefei-Xu, F., Xue, W*., Guo, Q., Ma, L., & Zhao, J. (2021). Deepmix: Online Auto Data Augmentation for Robust Visual Object Tracking. In 2021 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1–6).

5. Xue, W., Zhang, Z*., & Chen, S. (2021). Ghost Elimination via Multi-Component Collaboration for Unmanned Aerial Vehicle Remote Sensing Image Stitching. Remote Sensing, 13(7), 1388.

6. Zhang, Z., Zheng, K., Tian, Y., Xue, W*., Yang, T., An, D., Pi, Yong., & Chen, R. (2021). Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding. Neurocomputing, 1-1.

7. Du, Z., Xue, W*., & Chen, S. (2021). Unsupervised De-redundancy and Multi-step Fusion for Continuous Chinese Sign Language Recognition. In 2021 10th International Conference on Computing and Pattern Recognition (ICCPR) (pp. 1–1).

8. Kristan, M., Matas, J., Leonardis, A., Felsberg, M., Pflugfelder, R., Kämäräinen, J.-K., …, Xue W., …, Lukežič, A. (2021). The Ninth Visual Object Tracking VOT2021 Challenge Results. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 2711–2738).

9. Luan, L., Tian, Y., Fang, W., Zhang, C*., Xue, W., & Chen, R. (2021). MARL for Traffic Signal Control in Scenarios with Different Intersection Importance. In 2021The Third International Conference on Distributed Artificial Intelligence (DAI) (pp. 1–1).


1. Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu. SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking. ECCV 2020: European Conference on Computer Vision.

2. Ren, X., Yu, B., Qi, H., Juefei-Xu, F., Li, Z., Xue, W*., … Zhao, J. (2020). Few-Shot Guided Mix for DNN Repairing. In 2020 IEEE International Conference on Software Maintenance and Evolution (ICSME) (pp. 717–721).

3. Z. Zhang, W. Xue*, W. Huang and S. Chen, "Effective Video Frame Acquisition for Image Stitching," in IEEE Access, vol. 8, pp. 217086-217097, 2020, doi: 10.1109/ACCESS.2020.3041330.

4. Xie, W., & Xue, W*. (2021). WB-KNN for emotion recognition from physiological signals. Optoelectronics Letters, 17(7), 444–448.

Papers published in 2018:


1. Xue, W., Xu, C., & Feng, Z. (2018). Robust Visual Tracking via Multi-Scale Spatio-Temporal Context Learning. IEEE Transactions on Circuits and Systems for Video Technology, 28(10), 2849–2860.

2. Xue, W., Feng, Z., Xu, C., Meng, Z., & Zhang, C. (2018). Adaptive Object Tracking via Multi-Angle Analysis Collaboration. Sensors, 18(11), 3606.

3. Zhang, X., Xu, C., Xue, W*., Hu, J., He, Y., & Gao, M. (2018). Emotion Recognition Based on Multichannel Physiological Signals with Comprehensive Nonlinear Processing. Sensors, 18(11), 3886.

4. Zhang, J., Feng, Z., Su, Y., Xing, M., & Xue, W. (2018). Riemannian Spatio-Temporal Features of Locomotion for Individual Recognition. Sensors, 19(1), 56.

5. Xue, W., Feng, Z., Xu, C., Liu, T., Meng, Z., & Zhang, C. (2018). Visual tracking via improving motion model and model updater. International Journal of Advanced Robotic Systems, 15(1).

6. Zhang, C., Li, X., Hao, J., Sen, S., Xue, W., & Feng, Z. (2018). The Dynamics of Opinion Evolution in Gossiper-Media Model with WoLS-CALA Learning. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (pp. 2159–2161).

7. Zhang, C., Li, X., Feng, Z., & Xue, W. (2018). Multiagent Reinforcement Learning Algorithms Based on Gradient Ascent Policy (pp. 91–106).


1. Zhang, C., Li, X., Hao, J., Chen, S., Tuyls, K., Xue, W., & Feng, Z. (2019). SA-IGA: a multiagent reinforcement learning method towards socially optimal outcomes. Autonomous Agents and Multi-Agent Systems, 33(4), 403–429.

2. Liu, T., Xu, C., Meng, Z., Xue, W*., & Li, C. (2017). Improvement on Tracking Based on Motion Model and Model Updater. CCF Chinese Conference on Computer Vision, 639–650.

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