山东科技大学-计算机科学与工程学院

专业系统

研究所

计算机模型与算法研究所

副教授

姓名：张雪性别：女学历：博士研究生

职称：副教授办公室：J13-216 隶属部门：计算机科学与技术系

联系方式：xuezhang@sdust.edu.cn

个人简介：

张雪，博士，副教授，硕士生导师，入选“山东省青年科技人才托举工程”（2024）。2019年6月获北京交通大学工学博士学位，曾先后在瑞士洛桑联邦理工大学（2015-2017）、日本国立情报学研究所（2018）、加拿大约克大学（2019-2022）从事研究工作。2022年4月加入山东科技大学计算机科学与工程学院。主要研究方向包括三维图像处理（包括压缩、去噪、增强、分类、分割等）、图信号处理、机器学习、多模态数据建模等。主持国家自然科学基金青年项目，山东省自然科学基金青年项目，青岛市自然科学基金青年项目，及山东科技大学“菁英计划B类人才”项目。参与包括国家重点研发计划、国家自然科学基金重大合作、加拿大自然科学基金等科研项目10余项。在IEEE TIP、IEEE TCSVT、ICASSP、ICIP等国内外学术期刊及会议上发表学术论文20余篇，授权国家发明专利2项，申请美国发明专利1项。近年来获校级“优秀班主任”、“三·八红旗手”等荣誉称号。

详细信息:

---------------------------------------------------------------------------------------------------------------------------------------------------------------

欢迎英语读写熟练、数学基础良好、热爱编程、自主上进、善于思考的同学报考我的硕士研究生。读研期间，享受课题组提供的国内外访学、学术会议交流机会，成果优异者可推荐至国内、加拿大、美国、日本、瑞士、英国等国家的知名高校继续深造。

感兴趣的小伙伴请联系xuezhang@sdust.edu.cn。

---------------------------------------------------------------------------------------------------------------------------------------------------------------

学术经历：

[1]. 2019-07至2022-03，加拿大约克大学-VISTA (York University-Vision: Science to Applications)，博士后研究员

[2]. 2018-01至2018-08，日本国立情报学研究所 (National Institute of Informatics，NII)，联合培养博士

[3]. 2015-10至2017-09，瑞士洛桑联邦理工大学 (École Polytechnique Fédérale de Lausanne，EPFL)，CSC联合培养博士

主持项目：

[1]. 国家自然科学基金-青年项目：模型-数据双驱动的三维点云重建方法研究，2024.01-2026.12，30万元，主持

[2]. 山东省自然科学基金-青年项目：模型-数据双驱动的RGBD点云重建研究，2024.01-2026.12，15万元，主持

[3]. 青岛市自然科学基金-青年项目：基于谱图理论的可解释性三维点云深度重建研究，2023.07-2025.06，10万元，主持

[4]. 山东科技大学“菁英计划B类人才”项目：2022.04-2027.03，30万元，主持

代表性论文：

Journal:

[1]. Fei Chen, Gene Cheung and Xue Zhang*, “Manifold Graph Signal Restoration Using Gradient Graph Laplacian Regularizer”, IEEE Transactions on Signal Processing, vol. 72, pp. 744-761, Jan. 2024. (SCI，中科院一区TOP)

[2]. Minghao Zou, Qingtian Zeng*, Xue Zhang*, “Weakly-supervised Action Learning in Procedural Task Videos via Process Knowledge Decomposition,” IEEE Transactions on Circuits and Systems for Video Technology, early access, 2024. (SCI，中科院一区TOP)

[3]. Shansong Wang, Qingtian Zeng, Weijian Ni, Xue Zhang and Cheng Cheng, “Multi-modal Pseudo-Information Guided Unsupervised Deep Metric Learning for Agricultural Pest Images”, Information Sciences, vol. 630, pp. 443-462. June 2023. (SCI, 中科院一区TOP)

[4]. Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam and Stanley H. Chan, “Graph Based Depth Denoising & Dequantization for Point Cloud Enhancement,” IEEE Transactions on Image Processing, vol. 31, pp. 6863-6878, Oct. 2022. (SCI，中科院一区TOP)

[5]. Xue Zhang, Gene Cheung, Yao Zhao, Patrick Le Callet, Chunyu Lin and Jack Z. G. Tan, “Graph Learning based Head Movement Prediction for Interactive 360 Video Streaming,” IEEE Transactions on Image Processing, vol. 30, pp. 4622-4636, Apr. 2021. (SCI，中科院一区TOP)

[6]. Xue Zhang, Laura Toni, Pascal Frossard, Yao Zhao and Chunyu Lin, “Adaptive Streaming in Interactive Multiview Video Systems,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 4, pp. 1130-1144, Apr. 2019. (SCI，中科院一区TOP)

[7]. Xue Zhang, Yao Zhao, Tammam Tillo and Chunyu Lin, “A Packetization Strategy for Interactive Multiview Video Streaming over Lossy Networks,” Signal Processing, vol. 145, pp. 285-294, Apr. 2018. (SCI，中科院二区)

[8]. Xue Zhang, Anhong Wang, Bing Zeng, Lei Liu and Zhuo Liu, “Adaptive Block-wise Compressive Image Sensing based on Visual Perception,” IEICE Transactions on Information and Systems, vol. 96, no. 2, pp. 383-386, Feb. 2013. (SCI)

[9]. Xue Zhang, Anhong Wang, Bing Zeng and Lei Liu, “Adaptive Distributed Compressed Video Sensing,” Journal of Information Hiding & Multimedia Signal Processing, vol. 5, no. 1, pp. 95-103, Oct. 2014. (EI)

[10]. Ning Yu, Chunyu Lin, Yao Zhao, Meiqin Liu and Xue Zhang, “360 Video Compression based on Sphere-rotated Frame Prediction,” IET Image Processing, vol. 14, no. 12, Oct. 2020. (SCI)

[11]. Zhuo Liu, Anhong Wang, Bing Zeng, Xue Zhang, Huihui Bai and Zhihong Li, “Distributed Compressive Video Sensing with Adaptive Measurements Based on Structural Similarity,” Chinese Journal of Electronics, vol. 22, no. 3, pp. 594-598, Jul. 2013. (SCI)

Conference:

[1]. Fei Chen, Gene Cheung and Xue Zhang*, “Soft Image Segmentation using Gradient Graph Laplacian Regularizer”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, April 2024. (CCF B)

[2]. Fen Wang, Taihao Li, Wuyue Zhang, Xue Zhang, Cheng Yang. “Graph-enhanced Hybrid Sampling for Multi-armed Bandit Recommendation”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, April 2024. (CCF B)

[3]. Shansong Wang, Qingtian Zeng, Xue Zhang and Weijian Ni, “Hierarchical Class Level Attribute Guided Generative Meta Learning for Pest Image Zero-shot Learning”, IEEE International Conference on Multimedia & Expo (ICME). Brisbane, Australia, July 2023. (CCF B)

[4]. Fen Wang, Taihao Li and Xue Zhang, “Revisit Sampling Theory of Bandlimited Graph Signals: One Bridge Between GSP and DSP”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, June 2023. (CCF B)

[5]. Fei Chen, Gene Cheung and Xue Zhang, “Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding,” IEEE Data Science and Learning Workshop (DSLW), Singapore, May 2022. (25%接收率)

[6]. Fei Chen, Gene Cheung and Xue Zhang, “Fast & Robust Image Interpolation using Gradient Graph Laplacian Regularizer,” IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, Sep. 2021. (CCF C)

[7]. Xue Zhang, Gene Cheung, Patrick Le Callet and Jack Z. G. Tan, “Sparse Directed Graph Learning for Head Movement Prediction in 360 Virtual Reality,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020. (CCF B)

[8]. Xue Zhang, Gene Cheung, Jiahao Pang and Dong Tian, “3D Point Cloud Enhancement Using Graph-Modelled Multiview Depth Measurements,” IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, Oct. 2020. (CCF C)

[9]. Shiyuan Li, Chunyu Lin, Kang Liao, Yao Zhao and Xue Zhang, “Panoramic Image Quality-Enhancement by Fusing Neural Textures of the Adaptive Initial Viewport,” IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020.

[10]. Xue Zhang, Laura Toni, Pascal Frossard, Yao Zhao and Chunyu Lin, “Optimized Receiver Control in Interactive Multiview Video Streaming Systems,” IEEE International Conference on Communications (ICC), Paris, France, May 2017, pp. 1-6. (CCF C)

[11]. Xue Zhang, Yao Zhao, Tammam Tillo, Chunyu Lin, Jimin Xiao and Anhong Wang, “Packetization Strategies for MVD-based 3D Video Transmission,” IEEE International Conference on Visual Communications and Image Processing (VCIP), Chengdu, China, Nov. 2016, pp. 1-4. (EI)

[12]. Xue Zhang, Yao Zhao, Chunyu Lin, Huihui Bai, Chao Yao and Anhong Wang, “Warping-Driven Mode Selection for Depth Error Concealment,” IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, GA, USA, Dec. 2014，pp. 302-306. (EI)