全部成果

Achievements

科研成果全部成果

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]

Li Dexin(李得鑫), Li Kai(李凯,通讯).

Monovision End-to-End Dual-Lane Overtaking Network without Map Assistance.

Applied Sciences 14(1):38 (2024). SCI 中科院3区,JCR Q2

[15]

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

[16]

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

[17]

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

[18]

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

[19]

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

[20]

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

[21]

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

[22]

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

[23]

Xu Zhengfu(徐正夫), Li Kai(李凯,通讯), Qinyu Zhang, Huiling Fu.

Double-Track One-Direction Operation Mode for Overnight Trains on High-Speed Railway.

Applied Sciences 13(6): 3527 (2023). SCI 中科院3区,JCR Q2

[24]

Peng Feng(彭峰), Li Kai(李凯,通讯).

Deep Image Clustering Based on Label Similarity and Maximizing Mutual Information across Views.

Applied Sciences 13(1): 674(2023). SCI 中科院3区,JCR Q2

[25]

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

[26]

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

[27]

Zhang Shichen(张诗晨), Li Kai(李凯,通讯).

A Novel Density Peaks Clustering Algorithm with Isolation Kernel and K-Induction.

Applied Sciences 13(1):322 (2022). SCI 中科院3区,JCR Q2

[28]

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

[29]

Zhao Yifan(赵一帆).

On the generalized law of O-conditionality for interval fuzzy implications.

Journal of Intelligent & Fuzzy Systems 43(4): 4255-4269 (2022). SCI

[30]

Zhao Yifan(赵一帆), Li Kai(李凯,通讯).

New results on ordinal sum implications based on ordinal sum of overlap functions.

Fuzzy Set and Systems 441: 83-109 (2022). SCI 中科院1区,JCR Q1

[31]

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

[32]

李凯,张可心.

结构α-熵的加权高斯混合模型的子空间聚类.

电子学报, 2022, 50(3):718–725. EI

[33]

Zhao Yifan(赵一帆), Li Kai(李凯,通讯).

On the distributivity equations between null-uninorms and overlap (grouping) functions.

Fuzzy Sets and Systems 433: 122-139 (2022). SCI 中科院1区,JCR Q1

[34]

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

[35]

Cui Zhenchao, Lei Yu, Wang Yuxiao(王煜骁), Yang Wenzhu, Qi Jing.

Hand Gesture Segmentation against Complex Background based on Improved Atrous Spatial Pyramid Pooling.

Journal of Ambient Intelligence and Humanized Computing 14(9): 11795-11807 (2023). SCI JCR Q1

[36]

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

[37]

Zhao Yifan(赵一帆), Li Kai(李凯,通讯).

A method of constructing fuzzy implications from the FIϕ-construction.

Journal of Intelligent & Fuzzy Systems 41(6): 6025-6038 (2021). SCI

[38]

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

[39]

Wang Yuxiao(王煜骁), Li Kai(李凯,通讯), Lei Yu.

A general multi-scale image classification based on shared conversion matrix routing.

Applied Intelligence 52(3): 3249-3265 (2022). SCI 中科院2区,JCR Q2

[40]

李凯,曹可凡,沈皓凝.

基于步态序列的跨视角步态识别[J].

河北大学学报(自然科学版),2021,41(03):311-320. 核心

[41]

李凯,李洁.

基于pinball损失的结构模糊多分类支持向量机算法[J].

计算机应用,2021,41(11):3104-3112. 核心

[42]

Li Kai(李凯),Zhen Lv(吕珍).

Smooth twin bounded support vector machine with pinball loss.

Applied Intelligence 51: 5489–5505(2021). SCI 中科院2区,JCR Q2

2020

[43]

李凯,李洁.

基于pinball损失的一对一加权孪生支持向量机[J].

河北大学学报(自然科学版),2020,40(06):647-656. 核心

[44]

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

[45]

Zhao Yifan(赵一帆), Li Kai(李凯,通讯).

On the Generalized Cross-Law of Importation in Fuzzy Logic.

Mathematics 8(10): 1681-1681 (2020). SCI 中科院3区,JCR Q2

[46]

李凯,岳秉杰.

共享转换矩阵的胶囊网络及其融合视角特征的跨视角步态识别[J].

计算机应用,2021,41(01):157-163. 核心

[47]

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

[48]

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

[49]

宗晓萍,陶泽泽.

基于掌握速度的知识追踪模型[J].

计算机工程与应用,2021,57(06):117-123. EI

[50]

宗晓萍,陶泽泽.

改进的K-近邻算法及其在学习预警中的应用[J].

河北大学学报(自然科学版),2020,40(02):193-199. 核心

[51]

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

Unsupervised Vehicle Re-identification with Progressive Adaptative.

IJCAI, 2020. SCI CCF A

2019

[52]

李凯,李慧.

基于pinball损失的结构模糊孪生支持向量机.

电子学报,2019,47(10):2221–2227. EI

[53]

李凯,曹可凡.

受限玻尔兹曼机的步态特征提取及其识别[J].

河北大学学报(自然科学版),2019,39(06):657-665. 核心

[54]

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

2018

[55]

自动调整样本和特征权值的模糊聚类算法,哈尔滨工程大学学报,vol.39, No.9, 2018.

[56]

Fuzzy clustering with the structural α-entropy, Chinese Journal of Electronics(电子学报英文版),vol.27, No.6, 2018.

2016

[57]

融合腿部局部特征的步态识别方法,计算机工程与设计,vol.37, No.5, 2016.

[58]

一种基于神经网络的广义熵模糊聚类算法, 电子学报,vol.44, No.8, 2016.

2015

[59]

Gait Recognition Method by Combining Legs Region with Entire Gait Image. Chinese Journal of Electronics(电子学报英文版), 2015

2014

[60]

Induced generalized hesitant fuzzy operators and their application to multiple attribute group decision making, Computers & industrial engineering, v.67, 2014.

[61]

A novel approach to interval-valued intuitionistic fuzzy soft set based decision making, Applied mathematical modelling, v.38, 2014.

[62]

An adaptive fuzzy clustering algorithm with generalized entropy based on weighted sample, International journal of application or innovation in engineering & management, v.3, No.5, 2014.

[63]

A kernel fuzzy clustering algorithm with generalized entropy based on weighted sample, International journal of advanced computer research, v.4, No.15, 2014.

[64]

A fast image segmentation based on clustering technique, IPASJ International journal of information technology, v.2, No.6, 2014.

[65]

A weighted sample’s fuzzy clustering algorithm with generalized entropy, International journal of computer and information technology, v.3, No.4, 2014.

[66]

Image segmentation with fuzzy clustering based on generalized entropy, Journal of Computers, v.9, No.7, 2014.

[67]

Fuzzy clustering with generalized entropy based on neural network, Lecture notes in electrical engineering, v.238, 2014.

[68]

Parameterized intuitionistic fuzzy trapezoidal operators and their application to multiple attribute group decision making, Journal of intelligent & fuzzy systems, v.26, No.3, 2014.

[69]

Ensemble of image segmentation with generalized entropy-based fuzzy clustering, International Journal of Computer and Information Technology, v.3, No.5, 2014.

[70]

An improved linear discriminant analysis method and its application to face recognition, Applied mechanics and materials, v.556- 562, 2014.

[71]

基于偶对约束和马氏距离的半监督模糊聚类算法, 河北大学学报(自然科学版), vol.34, No.5, 2014.

2013

[72]

A fuzzy clustering algorithm with the generalized entropy based on neural network, Journal of computational information systems, v.9, No.1, 2013.

[73]

一种模糊加权的孪生支持向量机算法,计算机工程与应用, v.49, No.4, 2013.

[74]

Fuzzy clustering algorithm with generalized entropy based on feature weighting, IPASJ international journal of computer science, v.1, No.2, 2013.

[75]

A fuzzy twin support vector machine algorithm, International journal of application or innovation in engineering & management , v.2, No.3, 2013.

[76]

一种基于粗糙间隔的模糊支持向量机, 电子学报, v.41, No.6, 2013.

[77]

An improved semi-supervised fuzzy clustering algorithm, International journal of computer and information technology, v.2, No.4, 2013.

[78]

一种基于半监督学习的2DPCA人脸识别方法, 河北大学学报(自然科学版), v.33, No.4, 2013.

[79]

A semi-supervised fuzzy clustering algorithm based on Mahalanobis distance and Gausian kernel, 2013 International conference on mechanical and electronics engineering, v.385-386, 2013.

[80]

A selective fuzzy clustering ensemble algorithm, International journal of advanced computer research, v.3, No.13, 2013.

2012

[81]

一种基于广义熵的模糊聚类算法, 计算机工程, v.38, No.13, 2012.

[82]

Study of selective ensemble learning methods based on support vector machine, Physics Procedia, v.33, No.1, 2012.

[83]

A fast large size image segmentation algorithm based on spectral clustering, Proceedings of 2012 fourth international conference on computational and information sciences, 2012.

[84]

A semi-supervised 2DPCA face recognition method based on self-training, Proceedings of 2012 fourth international conference on computational and information sciences,2012.

2011

[85]

半监督学习算法的收敛性及其在人脸识别中的应用, 河北大学学报(自然科学版), v.31, No.1, 2011.

[86]

A rough margin based fuzzy support vector machine, Advanced materials research, v.204-210, 2011.

[87]

A subgraph-based selective classifier ensemble algorithm, Advanced materials research, v.219-220, 2011.

[88]

选择策略的集成学习方法研究, 计算机工程与应用, v.47, No.17, 2011.

[89]

Fuzzy clustering based on generalized entropy and its application to image segmentation, lecture notes in artificial intelligence, v.7003, 2, 2011. A double margin based fuzzy support vector machine algorithm, Journal of computers, v.6, No.9, 2011.

[90]

Unified model of fuzzy clustering algorithm based on entropy and its application to image segmentation, Journal of computational information systems, v.7, No.15, 2011.

[91]

基于子图策略的选择性分类器集成算法, 李凯, 计算机工程与应用, v.47, No.34, 2011.

2010

[92]

一种新的支持向量机集成的差异性度量方法, Proceedings of Third international symposium on intelligent information technology and security informatics, 2010.

[93]

基于决策树与神经网络的选择性集成学习和差异性研究, Proceedings of 2010 Chinese Control and Decision Conference, 2010.

[94]

层次聚类的簇集成方法研究,计算机工程与应用, v.46, No.27, 2010.

[95]

基于一致性与变形方法的人脸识别, Lecture notes in artificial intelligence, v.6401, 2010.

[96]

Convergence of GCM and its application to face recognition, Lecture notes in artificial intelligence, v.6319, 2010.

[97]

Study of selective ensemble learning methods based on support vector machine, Proceedings of 2010 second IITA international joint conference on artificial intelligence, 2010.

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

2023-05-09

基于深度学习的人脸图像遮挡修复算法及其应用研究，申请号202111286793.4

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

2022-04-28

基于深度学习的图像修复软件(2022SR0541326)

软件著作权

2021

基于YOLOv5算法的实时目标检测与处理系统

软件著作权

2021

基于鱼眼双目传感器的无人机室内定位系统

软件著作权

智能引领未来

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