冯缘

工作经历：

2010.9 - 2014.6  浙江工业大学 软件工程专业 学士

2014.6 - 2019.6  浙江工业大学 控制科学与工程专业 博士 导师：陈胜勇

2019.7 - 2024.5  浙江工业大学 理学院 校聘副教授

2024.5 - 至今     浙江工业大学 数学科学学院 校聘副教授 

所获荣誉：

浙江工业大学2020年度招生就业工作先进个人

浙江工业大学2022年度优秀本科实习指导老师

浙江工业大学理学院2022年度优秀党务工作者

浙江工业大学理学院2022年度专项工作先进个人（管理服务）

浙江工业大学2023年度优秀本科生导师

浙江工业大学2023年度毕业论文（设计）优秀指导老师

部分已毕业学生：

    授课课程涉及数理统计、机器学习、数据挖掘等领域。授课强调实践技能，多次开设课程设计类课程，注重对学生扎实基础和实际操作能力的培养。

(1) 天津理工大学, 横向项目, KYY-HX-20230698, 面部表情分析模型开发, 2023-07 至 2024-05, 100万元, 结题, 主持。

(2) 浙江省自然科学基金, 公益项目, LGG21F030011, 基于无人机平台的高动态目标跟踪方法研究, 2021-01 至 2023-12, 10万元,  结题, 主持。

发表论文

[1] Yining Jiang, Sheng Liu, Yuan Feng, Min Xu, Yiheng Yu. Improving Continuous Sign Language Recognition via Lightweight Adaptive Temporal Mixing. In ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 10462--10466, 2026.

[2] Shixin Zhao, Sheng Liu, Yuan Feng, Yiheng Yu, Zhelun Jin, Min Xu. Faclip: Learnable Fine-Grained Prompts and Multi-Scale Fusion for Zero-Shot Anomaly Detection. In ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 10407--10411, 2026.

[3] Weiyi Ye, Xu-Hua Yang, Gang-Feng Ma, Dong Wei, Sheng Liu, Yuan Feng. SAKA: Spatially-Adaptive and Keyframe-Anchored Graph Network for Continuous Sign Language Recognition. In ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 9907--9911, 2026.

[4] Hong-Xiang Hu, Xu-Hua Yang, Dong Wei, Gang-Feng Ma, Sheng Liu, Yuan Feng, Yong Wang. SignDAGC: Dynamic axial graph structure for continuous sign language recognition and translation. In Pattern Recognition, pp. 113947, 2026.

[5] Yiheng Yu, Sheng Liu, Yuan Feng, Zhelun Jin, Yining Jiang, Min Xu. Focal-General Diffusion Model with Semantic Consistent Guidance for Sign Language Production. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 35915--35925, 2026.

[6] Yuan Feng, Yuqing Shan, Chaoyue Guan, Jing Niu. A reproducing kernel based collocation method for arbitrary m-order BVPs. In Journal of Applied Mathematics and Computing, vol. 71, no. 2, pp. 1631--1647, 2025.

[7] Zhenghao Ke, Sheng Liu, Yuan Feng. Fine-grained cross-modality consistency mining for Continuous Sign Language Recognition. In Pattern Recognition Letters, vol. 191, pp. 23--30, 2025.

[8] Chengyuan Ke, Sheng Liu, Yuan Feng, Shengyong Chen. Selective directed graph convolutional network for skeleton-based action recognition. In Pattern Recognition Letters, vol. 190, pp. 141--146, 2025.

[9] Yiheng Yu, Sheng Liu, Yuan Feng, Min Xu, Zhelun Jin, Xuhua Yang. Improving continuous sign language recognition via cross-frame interactions in expanded contextual spaces. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1--5, 2025.

[10] Min Xu, Sheng Liu, Yuan Feng, Yiheng Yu, Zhelun Jin, Xuhua Yang. Hierarchical Spatial-Temporal Enhancement Network For Continuous Sign Language Recognition. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1--5, 2025.

[11] Yiheng Yu, Sheng Liu, Yuan Feng, Min Xu, Zhelun Jin, Xuhua Yang. OLMD: Orientation-aware long-term motion decoupling for continuous sign language recognition. In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 9, pp. 9707--9715, 2025.

[12] Chengyuan Ke, Sheng Liu, Zhenghao Ke, Yuan Feng, Shengyong Chen. Cross-Scale Spatial Refinement Graph Convolutional Network for Skeleton-Based Action Recognition. In International Journal of Computational Intelligence Systems, vol. 18, no. 1, pp. 76, 2025.

[13] Sheng Liu, Yiheng Yu, Yuan Feng, Min Xu, Zhelun Jin, Yining Jiang, Tiantian Yuan. DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition. In arXiv preprint arXiv:2507.03339, 2025.

[14] Sheng Liu, Shaobo Zhang, Fei Gao, Yuan Feng. Highly Condensed All-MLP Architecture for Long-Term Human Motion Prediction. In IEEE Transactions on Neural Networks and Learning Systems, 2025.

[15] Shaobo Zhang, Sheng Liu, Fei Gao, Yuan Feng. Robust human motion prediction via integration of spatial and temporal cues. In Optoelectronics Letters, vol. 21, no. 8, pp. 499--506, 2025.

[16] Yuan Feng, Nuoyi Chen, Yumeng Wu, Caoyu Jiang, Sheng Liu, Shengyong Chen. DFCNet+: Cross-modal dynamic feature contrast net for continuous sign language recognition. In Image and Vision Computing, vol. 151, pp. 105260, 2024.

[17] Xiaopeng Tian, Sheng Liu, Yuan Feng, Jiantao Yang, Yineng Zhang, Songqi Pan. DPS-Net: Dual-path stimulation network for continuous sign language recognition. In 2024 International Joint Conference on Neural Networks (IJCNN), pp. 1--7, 2024.

[18] Shaobo Zhang, Sheng Liu, Fei Gao, Yuan Feng. Dynamic Mutual-Activated Transformer for Human Motion Prediction. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3040--3044, 2024.

[19] Songqi Pan, Sheng Liu, Yuan Feng, Yineng Zhang, Xiaopeng Tian, Jiantao Yang. POSE-HMR: Heuristic Transformer with Postural Prior Constraints for 3D Human Mesh Reconstruction. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2835--2839, 2024.

[20] Zhenghao Ke, Sheng Liu, Chengyuan Ke, Yuan Feng, Shengyong Chen. Cross-modality consistency mining for continuous sign language recognition with text-domain equivalents. In 2024 IEEE International Conference on Multimedia and Expo (ICME), pp. 1--6, 2024.

[21] Yineng Zhang, Sheng Liu, Yuan Feng, Songqi Pan, Xiaopeng Tian, Jiantao Yang. SE-FewDet: Semantic-Enhanced Feature Generation and Prediction Refinement for Few-Shot Object Detection. In 2024 International Joint Conference on Neural Networks (IJCNN), pp. 1--8, 2024.

[22] Jiantao Yang, Sheng Liu, Yuan Feng, Xiaopeng Tian, Yineng Zhang, Songqi Pan. ATCE: Adaptive temporal context exploitation for weakly-supervised temporal action localization. In 2024 International Joint Conference on Neural Networks (IJCNN), pp. 1--8, 2024.

[23] Shaobo Zhang, Sheng Liu, Fei Gao, Yuan Feng. HCMLP: A Highly Condensed All-MLP Architecture for Extended Long-term Human Motion Prediction. In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 4087--4092, 2024.

[24] Chengyuan Ke, Sheng Liu, Zhenghao Ke, Yuan Feng. Fp-gcn: A novel feature pyramid graph convolutional network for skeleton-based action recognition. In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3715--3720, 2024.

[25] Zhenghao Ke, Sheng Liu, Chengyuan Ke, Yuan Feng. Consistency-Driven Cross-Modality Transferring for Continuous Sign Language Recognition. In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 629--634, 2024.

[26] Yuan Feng, Xinnan Xu, Nuoyi Chen, Quanjian Song, Lufang Zhang. A Two-Stage Method for Aerial Tracking in Adverse Weather Conditions. In Mathematics, vol. 12, no. 8, pp. 1216, 2024.

[27] Yuan Feng, Yaojun Hu, Pengfei Fang, Sheng Liu, Yanhong Yang, Shengyong Chen. Asymmetric dual-decoder U-Net for joint rain and haze removal. In ACM Transactions on Multimedia Computing, Communications and Applications, vol. 20, no. 3, pp. 1--23, 2023.

[28] Yuzhi Fang, Yuan Feng, Minqiang Xu, Lei Zhang. Gradient recovery based finite element methods for the two-dimensional quad-curl problem. In Applied Mathematics Letters, vol. 146, pp. 108790, 2023.

[29] Yanhong Yang, Yuan Feng, Jianhua Zhang, Shengyong Chen. Hyperspectral image restoration via subspace-based nonlocal low-rank tensor approximation. In IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1--5, 2022.

[30] Yanhong Yang, Congcong Wang, Yuan Feng, Jianhua Zhang, Yuhui Zheng, Shengyong Chen. Regularizing subspace representation for fusing hyperspectral and multispectral images. In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 12273--12286, 2021.

[31] Sheng Liu, Yuan Feng, Shaobo Zhang, Hongzhang Song, Shengyong Chen. $ l\_0 $ sparse regularization-based image blind deblurring approach for solid waste image restoration. In IEEE transactions on industrial electronics, vol. 66, no. 12, pp. 9837--9845, 2019.

[32] Sheng Liu, Yuan Feng. Real-time fast moving object tracking in severely degraded videos captured by unmanned aerial vehicle. In International Journal of Advanced Robotic Systems, vol. 15, no. 1, pp. 1729881418759108, 2018.

[33] Sheng Liu, Feng Yuan, Kang Shen, Yangqing Wang, Shengyong Chen. An RGB-D-based cross-field of view pose estimation system for a free flight target in a wind tunnel. In Complexity, vol. 2018, 2018.

[34] Yuan Feng, Sheng Liu, Chao Wang, Gaoxuan Ying, Kejie Yin, ShengYong Chen. Statistical Degradation Analysis for Real-Time Tracking in Severely Degraded Videos. In CCF Chinese Conference on Computer Vision, pp. 419--429, 2017.

[35] Chao Wang, Sheng Liu, Jianhua Zhang, Yuan Feng, Shengyong Chen. RGB-D based object segmentation in severe color degraded environment. In CCF Chinese Conference on Computer Vision, pp. 465--476, 2017.

[36] Yuan Feng, Sheng Liu, ShaoBo Zhang. Structured degradation model for object tracking in non-uniform degraded videos. In Chinese Conference on Pattern Recognition, pp. 345--355, 2016.