研究方向： 人工智能，计算机视觉，机器学习, 医学图像分析，3D 人体动作重建与生成 教学： [1] 本科生课程：《机器学习》，《神经网络与深度学习》，《人工智能》，《数字图像处理》，《微机原理》，《大数据技术》，《高等数字信号处理》 [2] 研究生课程：《最优化理论与方法》 指导学生相关的竞赛获奖情况: [1]《基于模拟对话与动作生成的AI数字人赋能平台》，第十八届"挑战杯"全国大学生课外学术科技作评竞赛"揭榜挂帅"专项赛，二等奖(国家级)(共青团中央，中国科协，教育部，中国社会科学院，全国学联，贵州省人民政府), 编号:2023-TZB18-JB20231H-F75499. 2023年，指导教师. [2]《青少年羽毛球技术动作标准性研究》，"兆易创新杯"第十八届中国研究生电子设计竞赛，二等奖(中国学位与研究生教育学会,中国科协青少年科技中心，中国电子学会)，证书编号：GEDC-02230600084. 2023年7月，指导教师 [3]《基于计算机视觉的羽毛球动作训练系统》，第十九届中国研究生电子设计竞赛，三等奖, 2024年，指导教师 教学获奖： [1] 2022年-2023年被评为"华为智能基座"优秀教师，并获得"华为智能基座奖教金"。建设课程：《机器学习》 教育经历： (1) 2002-09 至 2006-11, 上海交通大学(Shanghai Jiao Tong University), 模式识别与智能系统, 博士
(2) 1999-08 至 2002-06, 河南科技大学, 控制科学与工程, 硕士
(3) 1991-09 至 1994-06, 南京工程学院, 计算机应用 科研与学术工作经历： (1) 2011-03 始， 上海大学, 通信与信息工程学院, 副教授
(2) 2007-10 至 2011-03, 上海大学, 通信与信息工程学院, 讲师
(3) 2013/8/30 –2014/8/31，美国费城，天普大学(Temple University), 宾夕法尼亚大学(University of Pennsylvania), 美国西雅图华盛顿大学(University of Washington, Seattle), 访问学者 科研项目： (1) 苏州云极桓电子科技有限公司, 横向委托, 22H01283, AI智能识别图像处理算法研究, 2022-07 至 2023-06, 3.5万元, 结题, 主持
(2) 上海市体育局, 上海市体育科技项目,雏鹰计划项目, 21C001, 基于计算机视觉的青少年羽毛球运动员技术动作标准性研究, 2021-01 至 2022-10, 5万元, 结题, 参与
(3) 祐云信息技术南通有限公司, 横向委托, 21H01139, AI工业视觉识别终端, 2021-08 至 2022-08, 200 万元, 结题, 参与
(4) 国家自然科学基金项目, 项目批准号：60975024, 项目名称: 人的运动视觉跟踪与姿态分析稳健算法研究。32万元，项目负责人，主持，项目起止年月：2010.1-2012.12.
(5) 上海市自然科学基金项目, 编号: 09ZR1412300, 项目名称: 人的运动跟踪算法与姿态估计研究。项目负责人，主持，项目起止年月: 2009.8.1-2012.7.31 学术奖励： (1) Xiangyang Wang (期刊Xiangyang Wang(1/4); Feature selection based on Rough sets and Particle Swarm Optimization获得Pattern Recognition Letters2010年引用率最高论文奖-- "receive the 2010 Most Cited Paper Award for Pattern Recognition Letters，based on the highest number of cites". Elsevier, 其他, 国际学术奖, 2011(Xiangyang Wang; Jie Yang; Richard Jensen; Xiaolong Teng) (论文目前被引用次数：1087)
(2) 王向阳 (科研奖励 科研奖励) 王向阳(3/5); 高维复杂模式识别的特征选择和降维及半监督学习研究 (上海市科学技术奖, 自然科学 二等奖), 上海市政府, 自然科学, 省部二等奖, 2020(杨杰; 宫辰; 王向阳; 张田昊; 沈红斌) (科研奖励)
(3) 教育部自然科学二等奖. 2014年度高等学校科学研究优秀成果奖（科学技术）授奖项目，自然科学奖. 面向高维大数据的模式识别基础研究. 杨杰,张田昊,王向阳, 王彤. 上海交通大学 研究论文 (* Corresponding author 通讯作者) 2026年
[1] Yanping Li, Yichen Feng, Xiangyang Wang*, Gaofeng Lu. Deep learning-based badminton action recognition and quality assessment. Intelligent Data Analysis. 2026, Vol. 30(2), 531–543. DOI: 10.1177/1088467X251353444 (SCI论文, Impact Factor: 0.8) 2025年 [1] Xiangyang Wang, Kun Yang, Qiang Ding, Rui Wang, Jinhua Sun. Tic action recognition for children tic disorder with end-to-end video semi-supervised learning. The Visual Computer. Volume 41, pages 6201–6217, (2025). https://doi.org/10.1007/s00371-024-03782-9 (CCF推荐国际学术期刊, CCF C类. 中科院SCI, 3区, Impact Factor: 2.9) [2] XiangYang Wang, Peng Li, Rui Wang. CEDT2M: text-driven human motion generation via cross-modal mixture of encoder-decoder. Neural Computing and Applications. Volume 37, Issue 17, Pages 11175 - 11193, 2025. https://doi.org/10.1007/s00521-025-11112-w, Published online: 10 March, 2025. (中国计算机学会CCF推荐国际学术期刊, CCF C类) [3] Rui Wang, Liucheng Yao, Jiawen Zeng, Xiaofei Chen, Haiquan Wang, Chunhua Qian, Xiangyang Wang*. GatedSegDiff: a gated fusion diffusion model for skin lesion segmentation. Medical & Biological Engineering & Computing. Volume 63, pages 2637–2650, (2025). https://doi.org/10.1007/s11517-025-03337-7 (中科院SCI, 3区, Impact Factor: 2.6) 2024年 [1] Xiangyang Wang, Kun Yang, Qiang Ding, Rui Wang, Jinhua Sun. TQRFormer: Tubelet query recollection transformer for action detection. Image and Vision Computing. 147 (2024) 105059. [2] Xiangyang Wang, Yuhui Tian, Fudi Geng, Rui Wang. DFSTrack: Dual-stream fusion Siamese network for human pose tracking in videos. Image and Vision Computing. 148 (2024) 105117. (CCF推荐国际学术期刊, CCF C类. 中科院SCI, 3区, Impact Factor: 4.3) [3] Xiangyang Wang, Yichen Feng, Xiaolu Lv, Rui Wang. Geometric Algebra based 2D-DOA Estimation for Non-circular Signals with an Electromagnetic Vector Array. Digital Signal Processing. 148 (2024) 104459. (中科院SCI, 3区, Impact Factor: 2.9) [4] Xiangyang Wang, Jiale Chen, Rui Wang. DPR-GAN: Dual-Stream Progressive Refinement for Adversarial 3D Point Cloud Generation. Neural Processing Letters. 2024, 56:70. https://doi.org/10.1007/s11063-024-11454-x (CCF推荐国际学术期刊, CCF C类. 中科院SCI, 4区, Impact Factor: 2.6) [5] Xiangyang Wang, Yuhui Tian, Rui Wang. Self-supervised Siamese keypoint inference network for human pose estimation and tracking. Machine Vision and Applications. 2024, 35:32. https://doi.org/10.1007/s00138-024-01515-5 (CCF推荐国际学术期刊, CCF C类. 中科院SCI, 4区, Impact Factor: 2.4) [6] Xiangyang Wang, Tao Pei, Rui Wang. Enhanced keypoint information and pose-weighted re-ID features for multi-person pose estimation and tracking. Machine Vision and Applications. 2024, 35:119. https://doi.org/10.1007/s00138-024-01602-7 [7] Rui Wang, Xiaofei Chen, Xiangyang Wang*, Haiquan Wang, Chunhua Qian, Liucheng Yao, Kecheng Zhang. A novel approach for melanoma detection utilizing GAN synthesis and vision transformer. Computers in Biology and Medicine. 176 (2024) 108572. (Corresponding author: Xiangyang Wang) (中科院SCI, 2区, Impact Factor: 7.7) [8] Rui Wang, Zhaozhao Liu, Han Zhang, Xiangyang Wang*, Wenming Cao. Cross Dimensional Subspace Attention for human pose estimation. Displays. 83(2024) 102723. (Corresponding author: Xiangyang Wang) (中科院SCI, 2区, Impact Factor: 4.3) 2023年 [1] Xiangyang Wang, Xiaolu Lv, Rui Wang. Joint DOA, range and polarization estimation based on geometric algebra for near-field non-circular source with a symmetric MIMO array. Digital Signal Processing. 2023, 136:103963. Volume 136, Issue C01, May 2023. https://doi.org/10.1016/j.dsp.2023.103963 (中科院SCI, 3区, Impact Factor: 2.9) [2] Yanping Li, Ruyi Liu, Xiangyang Wang, Rui Wang. Human pose estimation based on lightweight basic block. Machine Vision and Applications. (2023) 34:3. Volume 34, Issue 101, January 2023. https://doi.org/10.1007/s00138-022-01352-4 [3] Rui Wang, Wanyu Wu, Xiangyang Wang*. Enhancing multi-scale information exchange and feature fusion for human pose estimation. The Visual Computer. 2023, 39(10):4751-4765 https://doi.org/10.1007/s00371-022-02623-x (Corresponding author: Wang Xiangyang) (CCF推荐国际学术期刊, CCF C类. 中科院SCI, 3区, Impact Factor: 3.0) 2022年 [1] Rui Wang, Fudi Geng, Xiangyang Wang*. MTPose: Human Pose Estimation with High-Resolution Multi-scale Transformers. Neural Processing Letters. 2022, 54: 3941-3964. Published: 29 March 2022. https://doi.org/10.1007/s11063-022-10794-w (*Corresponding author: Wang Xiangyang) [2] Rui Wang, Ruyi Liu, Yanping Li, Xiangyang Wang*. Learning enriched global context information for human pose estimation. Neural Processing Letters, volume 54, pages1663–1678 (2022), Published: 27 January 2022. https://doi.org/10.1007/s11063-021-10699-0. (*Corresponding author: Wang Xiangyang) [3] Rui Wang, Wanyu Wu, Xiangyang Wang*. Enhancing multi-scale information exchange and feature fusion for human pose estimation. The Visual Computer. 2022, 39: 4751-4765. Published: 18 August 2022. https://doi.org/10.1007/s00371-022-02623-x (*Corresponding author: Wang Xiangyang) [4] Yanping Li, Yue Wang, Rui Wang, Yi Wang, Kaili Wang, Xiangyang Wang, Wenming Cao, Wei Xiang. GA-CNN: Convolutional Neural Network Based on Geometric Algebra for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022, Art no. 5540314. Digital Object Identifier 10.1109/TGRS.2022.3212682. (中科院SCI, 1区, Impact Factor: 7.5) 2021年 [1] Xiangyang Wang, Jiangwei Tong, Rui Wang. Attention Refined Network for Human Pose Estimation. Neural Processing Letters. 2021, 53(4): 2853-2872. [2] Rui Wang, Miaomiao Shen, Xiangyang Wang, et al. RGA-CNNs: convolutional neural networks based on reduced geometric algebra. SCIENCE CHINA-INFORMATION SCIENCES. 2021, 64(2). (中科院SCI, 1区) 2020年 [1] Wang Rui, Tong Jiangwei, Wang Xiangyang*. Enhancing Feature Fusion for Human Pose Estimation. Machine Vision and Applications, 2020, 31(70): 1-9 (*Corresponding author: Wang Xiangyang) 2020年之前 [1] Xiangyang Wang, Tianhao Zhang, Marcus V. Zanetti, Christos Davatzikos. Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder. In: 18th International Conference on Medical Image Computing and Computer Assisted Intervention, October 5th-9th, 2015, Munich, Germany (MICCAI 2015). [2] Xiaoqin Zhang, Weiming Hu, Xiangyang Wang, Yu Kong, Nianhua Xie, HanziWang, Haibin Ling, Steve Maybank. A Swarm Intelligence Based Searching Strategy for Articulated 3D Human Body Tracking. In: The 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010) Workshops, June 13-14, 2010, San Francisco, CA, USA. [3] Xiangyang Wang, Wanggen Wan, Guangcan Liu, Multi-Task Low-Rank and Sparse Matrix Recovery for Human Motion Segmentation, The 2012 IEEE International Conference on Image Processing (ICIP2012), September 30 - October 3, 2012, Disney Coronado Springs Resort, Orlando, Florida, USA. [4] Zhongzheng Cao, Rui Wang, Xiangyang Wang*, Zhi Liu, Xiaoqiang Zhu. Improving Human Pose Estimation with Self-Attention Generative Adversarial Networks. In: IEEE International Conference on Multimedia and Expo (ICME2019), July 8-12, 2019, Shanghai, China. (*Corresponding author: Xiangyang Wang) [5] Xiangyang Wang, Yusu Jin, Zhi Liu, Yadong Zhao, Xiaoqiang Zhu. Multi-scale Deep Residual Networks for Fine-grained Image Classification. In: The 13th International Forum of Digital TV and Wireless Multimedia Communication, November 9-10, 2016, Shanghai, China (IFTC2016). [6] Xiangyang Wang, Ying Wang. Object tracking with sparse representation and annealed particle filter. Signal, Image and Video Processing, Volume 8, Issue 6 (2014), Page 1059-1068. [7] 甘超,王莹,王向阳. 多特征稳健主成分分析的视频运动目标分割. 中国图象图形学报. 2013,18(9): 1116-1124. [8] Shishi Duan, Xiangyang Wang. The LogitBoost Based on Joint Feature for Face Detection. In: ICIG2013. [9] Ying Wang, Xiangyang Wang. Object Tracking with Sparse Representation and Annealed Particle Filter. In: The Seventh International Conference on Image and Graphics (ICIG2013), July 26‐28, 2013, Qingdao, Shandong, China. [10] Xiangyang Wang. Annealed particle filter based on particle swarm optimization for articulated three-dimensional human motion tracking. Optical Engineering, 49(1), 017204,1-11, January 2010 (SCI) [11] Xiang Zhang, Jie Yang, Zhi Liu, Xiangyang Wang. Segmenting foreground from similarly colored background. Optical Engineering. 2008, 47(7) 077002,1-11 (SCI) 2005年-2007年 (上海交通大学) [1] Xiangyang Wang, Jie Yang, Richard Jensen, Xiaolong Teng, Weijun Xia. Feature selection based on Rough sets and Particle Swarm Optimization. Pattern Recognition Letters. 28(4), 459-471, 2007 (SCI) [2] Xiangyang Wang, Jie Yang, Richard Jensen, Xiaojun Liu. Rough set Feature selection and rule Induction for Prediction of Malignancy Degree in Brain Glioma. Computer Methods and Programs in Biomedicine, 83(2),147-156, 2006 (SCI) [3] Xiangyang Wang, Jie Yang, Ningsong Peng, Xiaolong Teng. Finding Minimal Rough Set Reducts with Particle Swarm Optimization. In: D. Slezak et al. (Eds.): RSFDGrC 2005, LNAI 3641, pp. 451-460. (SCI) [4] Xiangyang Wang, Jie Yang, Xiaolong Teng, Ningsong Peng. Fuzzy-Rough set based Nearest Neighbor Clustering Classification Algorithm. In: L. Wang and Y. Jin (Eds.): FSKD 2005, LNAI 3613, pp. 370 – 373, 2005. (SCI) [5] 王向阳，杨杰. 基于近似精度和条件信息熵的粗糙集不确定性度量方法. 上海交通大学学报. 2006, 40(7): 1130-1134. |