彭锦佳

Peng Jinjia

教授

关于团队彭锦佳

彭锦佳（1990-），女，博士，校聘教授（教授努力中…），硕士研究生导师。主要研究领域为机器学习、深度学习、图像处理等。主持河北省自然科学基金青年项目、河北省高等院校科学研究项目-青年项目、河北大学高层次人才引进项目等基金项目；先后在国内外学术会议和期刊上发表高水平学术论文近30篇，其中被SCI、EI检索近20篇。主讲课程包括人工智能程序框架、机器学习等。

河北大学网络空间安全与计算机学院

学校/单位

七一路校区C1-223

工作地点

指导学生

论文

2025

[1]

Zuo Xutao(左绪涛), Peng Jinjia(彭锦佳,通讯), et al.

Adaptive intermediate modality learning for Visible-Infrared Person Re-Identification.

Information Fusion (2025). SCI 中科院1区

[2]

Peng Jinjia(彭锦佳), Li Mengkai(李梦凯), et al.

Omni Contextual Aggregation Networks for High-Fidelity Image Inpainting.

IEEE Transactions on Circuits and Systems for Video Technology(2025). SCI 中科院1区

[3]

Peng Jinjia(彭锦佳), Zhang Songyu(张淞瑜), et al.

CDE-Learning: Camera Deviation Elimination Learning for Unsupervised Person Re-identification.

The 39th Annual AAAI Conference on Artificial Intelligence, 2025. SCI CCF A

2024

[4]

Lu Zhengjie(鲁正杰), Peng Jinjia(彭锦佳,通讯), Wang Huibing, Shi Qingxuan, Wang Bin.

HSMnet: Hybrid Sampling and Matching Network for DETR-based Person Search.

MMAsia 2024: 49:1-49:7. SCI CCF C

[5]

Xiong Yanzhen(熊彦臻), Peng Jinjia(彭锦佳,通讯), Tao Zeze(陶泽泽), Wang Huibing.

Region-guided spatial feature aggregation network for vehicle re-identification.

Engineering Applications of Artificial Intelligence 139: 109568 (2025). SCI 中科院2区

[6]

Tao Zeze(陶泽泽), Lu Zhengjie(鲁正杰), Peng Jinjia(彭锦佳,通讯), Wang Huibing.

AGS: Transferable Adversarial Attack for Person Re-identification by Adaptive Gradient Similarity Attack Declaration of interests.

Knowledge-based System 304: 112506 (2024). SCI 中科院1区TOP,JCR Q1

[7]

Cheng Tianhang (程天航), Peng Jinjia(彭锦佳,通讯), Li Hui(李慧), Wang Huibing.

Large-scale multi-view subspace clustering via embedding space and partition matrix.

Neurocomputing 602: 128266 (2024). SCI 中科院2区,JCR Q1

[8]

Zhang Songyu(张淞瑜), Wang Chengjun(王铖俊), Peng Jinjia(彭锦佳,通讯).

ABC-Learning: Attention-Boosted Contrastive Learning for Unsupervised Person Re-Identification.

Engineering Applications of Artificial Intelligence 133: 108344 (2024). SCI 中科院2区TOP

[9]

Peng Jinjia(彭锦佳), Yu Jiazuo(于佳左), Wang Chengjun(王铖俊), Wang Huibing, Fu Xianping.

Adapt Only Once: Fast Unsupervised Person Re-identification via Relevance-aware Guidance.

Pattern Recognition 150: 110360 (2024). SCI 中科院1区

[10]

Wang Bingyan(王丙彦), Peng Jinjia(彭锦佳,通讯), Li Hui(李慧), Wang Huibing.

Generating high-quality texture via panoramic feature aggregation for large mask inpainting.

Knowledge-Based Systems 286: 111382 (2024). SCI 中科院1区

[11]

Wang Chengjun(王铖俊), Peng Jinjia(彭锦佳,通讯), Tao Zeze(陶泽泽), Wang Huibing.

Uncertainty-guided Robust labels refinement for unsupervised person re-identification.

Neural Computing and Applications 36(2): 977-991 (2024). SCI 中科院3区

[12]

Peng Jinjia(彭锦佳), Song Pengpeng(宋鹏鹏), Li Hui(李慧), Wang Huibing.

Reciprocal Frequency-aware Generalizable Person Re-identification via Decomposition and Filtering.

ACM Transactions on Multimedia Computing Communications and Applications 20(7): 205:1-205:20 (2024). SCI CCF B

2023

[13]

彭锦佳,王辉兵.

基于异构卷积神经网络集成的无监督行人重识别方法[J].

电子学报,2023,51(10):2902-2914. EI CCF A

[14]

Zhang Xinrui(张心蕊), Li Kai(李凯,通讯), Peng Jinjia(彭锦佳).

One Step Large-Scale Multi-view Subspace Clustering Based on Orthogonal Matrix Factorization with Consensus Graph Learning.

PRCV(4)2023: 113-125. SCI CCF C

[15]

Tian Zhongyao(田中瑶), Li Kai(李凯,通讯), Peng Jinjia(彭锦佳).

Deep Multi-task Image Clustering with Attention-Guided Patch Filtering and Correlation Mining.

PRCV(4)2023: 126-138. SCI CCF C

[16]

Song Pengpeng(宋鹏鹏), Peng Jinjia(彭锦佳,通讯).

Learning Frequency-based Distanglement and Filtering for Generalizable Person Re-identification.

Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023. SCI CCF C

[17]

彭锦佳,宋鹏鹏,王辉兵.

面向隐私保护的联邦域泛化行人重识别方法[J].

模式识别与人工智能,2023,36(07):634-646. EI CCF B

[18]

Wang Zhiwen(王志文), Li Kai(李凯,通讯), Peng Jinjia(彭锦佳).

Dynamic context-driven progressive image inpainting with auxiliary generative units.

The Visual Computer 40(5): 3457-3472 (2024). SCI 中科院3区,JCR Q2

[19]

Yu Jiazu(于佳左), Peng Jinjia(彭锦佳,通讯), Li Kai(李凯), Wang Huibing.

Hybrid partial-constrained learning with orthogonality regularization for unsupervised person re-identification.

Engineering Applications of Artificial Intelligence 123(Part A): 106200 (2023). SCI 中科院2区,JCR Q1

[20]

Peng Jinjia(彭锦佳), Yu Jiazuo(于佳左), Jiang Guangqi, Wang Huibing, Qi Jing.

Joint learning with diverse knowledge for re-identification.

Signal Processing: Image Communication 113: 116922 (2023). SCI 中科院3区,JCR Q2

[21]

李凯,张辉,崔丽娟,彭锦佳,陈泰熙.

基于双域信息的深度残差网络图像去噪[J].

河北大学学报(自然科学版),2023,43(02):216-224. 核心

[22]

Wang Huibing, Jiang Guangqi, Peng Jinjia(彭锦佳), Deng Ruoxi, Fu Xianping.

Towards Adaptive Consensus Graph: Multi-View Clustering via Graph Collaboration.

IEEE Trans. SCI 中科院1区 ,JCR Q1

[23]

Peng Jinjia(彭锦佳), Jiang Guangqi, Wang Huibing.

Adaptive Memorization with Group Labels for Unsupervised Person Re-identification.

IEEE Transactions on Circuits and Systems for Video Technology 33(10):5802-5813(2023). SCI 中科院1区

2022

[24]

Zhu Jiangqiang(朱江强), Li Kai(李凯,通讯), Peng Jinjia(彭锦佳), Jing Qi.

Self-Supervised Graph Attention Collaborative Filtering for Recommendation.

Electronics 12(4): 793(2023). SCI 中科院3区,JCR Q2

[25]

Peng Jinjia(彭锦佳), Jiang Guangqi, Wang Huibing.

Cooperative Refinement Learning for Domain Adaptive Person Re-identification.

Knowledge-based System 242: 108349 (2022). SCI 中科院1区

[26]

Yu Jiazuo(于佳左), Li Kai(李凯,通讯), Peng Jinjia(彭锦佳).

Reference-guided face inpainting with reference attention network.

Neural Computing and Applications, Neural Computing and Applications 34(12): 9717-9731 (2022). SCI 中科院3区

[27]

Jiang Guangqi, Peng Jinjia, Wang Huibing, Mi Zetian, Fu Xianping.

Tensorial Multi-View Clustering via Low-Rank Constrained High-Order Graph Learning.

IEEE Trans. SCI 中科院1区 ,JCR Q1

2021

[28]

Peng Jinjia(彭锦佳), Jiang Guangqi, Wang Huibing.

Generalized Multiple Sparse Information Fusion for Vehicle Re-identification.

Journal of Visual Communication and Image Representation 79: 103207 (2021). SCI 中科院3区

2020

[29]

Peng Jinjia(彭锦佳), Jiang Guangqi, Chen Dongyan, Zhao Tongtong, Wang Huibing, Fu Xianping.

Eliminating cross-camera bias for vehicle re-identification.

Multimedia Tools And Application 81(24): 34195-34211 (2020). SCI CCF C

[30]

Peng Jinjia(彭锦佳), Hao Yun, Xu Fengqiang, Fu Xianping.

Vehicle Re-identification Using Multi-task Deep Learning Network and Spatio-temporal Model.

Multimedia Tools And Application 79(43-44): 32731-32747 (2020). SCI CCF C

[31]

Peng Jinjia(彭锦佳), Wang Huibing, Fu Xianping.

Cross domain knowledge learning with dual-branch adversarial network for vehicle re-identification.

Neurocomputing 401:133-144 (2020). SCI 中科院2区

[32]

Peng Jinjia(彭锦佳), Wang Yang, Wang Huibing, Fu Xianping.

Unsupervised Vehicle Re-identification with Progressive Adaptative.

IJCAI, 2020. SCI CCF A

2019

[33]

Peng Jinjia(彭锦佳), Huibing Wang, Xu Fengqiang, Fu Xianping.

Learning Multi-Region Features for Vehicle Re-identification with Context-based Ranking Method.

Neurocomputing 359: 427-437 (2019). SCI 中科院2区

基金项目

2024 石家庄市驻冀高校基础研究项目 241791387A

面向城市监控视频的无监督行人重识别方法研究

2023 河北省高等院校科学研究项目-青年项目 QN2023186

面向隐私保护的域泛化行人重识别方法研究

2023 中央引导地方科技发展资金项目 236Z0301G

基于深度学习的车辆重识别方法研究

2022 河北省自然科学基金青年项目 F2022201009

基于监控视频的无监督域自适应车辆重识别方法研究

2021 河北大学高层次人才引进项目

基于深度学习的车辆重识别方法研究

专利/软著

2024-03-29

一种车辆重识别装置，申请号202322481988.5

实用新型专利

2023-06-25

一种基于桥接网络知识回顾的终身行人重识别方法，申请号202310749036.9

发明专利

2023-01-17

发明专利

2023-01-17

基于分组感知标签的自适应记忆无监督行人重识别方法，申请号202210089329.4

发明专利

智能引领未来

河北大学网络空间安全与计算机学院

智能感知与信息处理实验室

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