张丽萍

张丽萍,博士,副研究员,硕士生导师

2018年毕业于中国科学院大学,获工学博士学位,现任中国科学院半导体研究所副研究员、硕士生导师。长期致力于2D/3D数据处理与建模、神经符号融合、视觉多模态等方向的研究工作,主持国家自然科学基金青年科学基金项目,作为核心骨干参与国家自然科学基金重大研究计划及国家、省部级和企业合作开发项目10余项。在Information Fusion、Pattern Recognition、Science China Information Sciences、IEEE Transactions on Visualization and Computer Graphics、IEEE TNNLS等国际知名期刊及会议发表学术论文50余篇,其中ESI高被引论文6篇、热点论文4篇,第一作者或通信作者论文20篇,谷歌学术引用2500余次;参与申请发明专利30余项,授权15项;撰写专著1部(一作)。多次参加AI算法挑战赛,获一等奖1次、二等奖3次。连续四届参与组织IEEE HDIS国际会议,并担任论坛主席、网站主席等重要职务,担任Elsevier旗下SCI期刊Engineering Applications of Artificial Intelligence及Data in Brief编委。

联系方式: 

E-mail:zliping@semi.ac.cn;

电话:010-82304554

招生范围:硕士生

招生要求:

需要有扎实的数理基础、较好的编程能力和英语读写能力,具备科研的浓厚兴趣,较强的自主学习与沟通合作能力,有追求高水平学术与实用性科研的理想。导师和课题组会因材施教,全力培养优秀的研究生。

主要研究领域或方向

1.2D/3D数据处理与建模

2.神经符号融合算法

3.小样本增量学习

4.视觉多模态/大模型技术

在研/完成项目

1.国家自然科学基金青年科学基金项目:“基于神经网络符号回归的三维人体曲面数学表示方法研究”,2025.01—2027.12,在研,项目负责人。

2.国家自然科学基金重大研究计划项目:“知识融合的神经网络分治约简符号回归方法”,2024.01—2026.12,在研,核心骨干。

3.国家重点研发计划重点专项:“城市适老化健康社区建设的关键技术与示范应用研究”,课题三“老年人居住环境风险筛查与防范关键技术及智能系统研发”,2025—2028年,在研,任务负责人。

4.北京市生态环境监测中心合作开发项目:“北京市机动车排放立体监测网络集成与精细画像特征研究及应用——高排放柴油车识别与诱因溯源”,2026年,在研,项目负责人。

5.北京市自然科学基金小米创新联合基金项目:“基于多模态视觉增强与信息融合模型的危险驾驶行为预测”,2023.10—2026.12,在研,核心骨干。

6.工业和信息化部人工智能医疗器械创新任务揭榜项目:“智能经络诊疗系统(经络诊疗机器人)”,2022.01—2023.12,已结题,获工信部优胜揭榜项目,三维方向负责人。

7.中国中医科学院科技创新工程重点协同攻关项目:“小型化经络调理机器人一体机研发与应用于紧张型头痛治疗的临床疗效评价研究”,2024.02—2027.02,在研,核心骨干。

 

代表性论文

(1) Liping Zhang, Weijun Li, Xiaoli Dong, Hong Qin, Xin Ning*, Catarina Moreira, Joaquim Jorge. FCDNet: A Unified Deformation Network for Non-Rigid 3D Human Shape Correspondence via Feature Consistency. IEEE Transactions on Visualization and Computer Graphics. 2026.

(2)YinYun Yan; Liping Zhang*; Tingran Wang, et al. Rethinking Serialization in Linear 3D Vision: Decoupling Anisotropic Geometry from Isotropic Semantics. Proceedings of the 43rd International Conference on Machine Learning (ICML), PMLR 306, 2026.

(3)Xin Ning; Limin Jiang; Xinfeng Zhang; Zihao Wang; Liping Zhang*, et al. HSBNet: Fusing Semantics and Anisotropic Thermal Diffusion Fields for Boundary-Aware Point Cloud Segmentation. Information Fusion, 2026: 104246.

(4)Su Yan1; Liping Zhang1, et al. Dual-Path Consistency Learning via Hierarchical Neighborhood Perturbation for Scribble-Supervised Semantic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology, 2026.

(5) Yizhan Gu, Meilan Hao, Xin Ning*, Liping Zhang*, et al. ISF-Mat: An Incremental Segmentation Framework for Two-Dimensional Material Flake. Science China Information Sciences, 2026.

(6)Jinlong Xie; Liping Zhang*; Long Cheng; Jian Yao; Pengjiang Qian, et al. MARNet: Multi-Scale Adaptive Relational Network for Robust Point Cloud Completion via Cross-Modal Fusion. Information Fusion, 2025: 103505.

(7)Xin Ning; Limin Jiang; Liping Zhang*; Tingran Wang; Yuhao Wang, et al. ABM: An Automatic Body Measurement Framework via Body Deformation and Topology-Aware B-Spline Approximation. Pattern Recognition, 2025: 112060.

(8)Liping Zhang; Weijun Li, et al. Learning Continuous Face Representation with Explicit Functions. CAAI Transactions on Intelligence Technology, 2024.

(9)Yingli Wang; Liping Zhang*; Hao Tian, et al. PIFU-RGBD: Single-View RGB-D Pixel-Aligned Implicit Function for 3D Human Reconstruction. 2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS), IEEE, 2023.

(10)Changshuo Wang; Xin Ning; Linjun Sun; Liping Zhang; Weijun Li; Xiao Bai. Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis. IEEE Transactions on Geoscience and Remote Sensing, 2022.

(11)Guojun Wang; Weijun Li; Liping Zhang, et al. Encoder-X: Solving Unknown Coefficients Automatically in Polynomial Fitting by Using an Autoencoder. IEEE Transactions on Neural Networks and Learning Systems, 2021.

(12)Liping Zhang; Weijun Li, et al. GmFace: An Explicit Function for Face Image Representation. Displays, 2021, 68.

(13)Liping Zhang; Linjun Sun, et al. ARFace: Attention-Aware and Regularization for Face Recognition with Reinforcement Learning. IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021, 4(1): 30–42.

(14)Liping Zhang; Linjun Sun, et al. A Joint Bayesian Framework Based on Partial Least Squares Discriminant Analysis for Finger Vein Recognition. IEEE Sensors Journal, 2021, 22(1): 785–794.

(15)Zaiyang Yu; Liping Zhang; Shuang Li; Yugui Zhang; Xin Ning. 2D-3DMatchingNet: Multimodal Point Completion with 2D Geometry Matching. 2021 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), 2021.