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ORCIDHaijun Zhang 0002
Person information
- affiliation: Harbin Institute of Technology, Department of Computer Science, Shenzhen Graduate School, Shenzhen, China
- affiliation (former): City University of Hong Kong, Department of Electronic Engineering
- affiliation (former): University of Windsor, Department of Electrical and Computer Engineering, Canada
Other persons with the same name
- Haijun Zhang — disambiguation page
- Haijun Zhang 0001
![[0000-0002-0236-6482]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0236-6482")
— University of Science and Technology Beijing, Communications Engineering, China (and 1 more) - Haijun Zhang 0003 — Zhengzhou University of Aeronautics, School of Aeronautical Engineering, China (and 1 more)
- Haijun Zhang 0004 — Nanyang Normal University, Key Laboratory of Natural Disaster and Remote Sensing of Henan Province, China
- Haijun Zhang 0005 — Shanghai Jiao Tong University, Department of Computer Science, China
- Haijun Zhang 0006 — Lanzhou University of Technology, School of Computer and Communication, China
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2020 – today
- 2024
[j93]Yanzhuo Lin, Yu Wang, Mingquan Zhang, Zenghui Wang, Haijun Zhang, Ming Zhao:
Information-guided signal multi-granularity contrastive feature learning for fault diagnosis with few labeled data. Adv. Eng. Informatics 61: 102471 (2024)- [j92]Xiangyu Mu, Haijun Zhang, Jianyang Shi, Jie Hou, Jianghong Ma, Yimin Yang:
Fashion intelligence in the Metaverse: promise and future prospects. Artif. Intell. Rev. 57(3): 67 (2024) - [j91]Kai Yang, Qun Li, Chunwei Tian, Haijun Zhang, Aiwu Shi, Jinkai Li:
DeforT: Deformable transformer for visual tracking. Neural Networks 176: 106380 (2024) - [j90]Li Dong, Haijun Zhang, Dongliang Zhou, Jianyang Shi, Jianghong Ma:
CCTwins: A Weakly Supervised Transformer-Based Crowd Counting Method With Adaptive Scene Consistency Attention. IEEE Trans. Consumer Electron. 70(1): 22-35 (2024) - [j89]Linlin Liu, Haijun Zhang, Dongliang Zhou, Jianyang Shi:
Toward Fashion Intelligence in the Big Data Era: State-of-the-Art and Future Prospects. IEEE Trans. Consumer Electron. 70(1): 36-57 (2024) - [j88]Haijun Zhang, Chao Ouyang, Dingding Zuo, Haibin Zhou, Guojian Li, Zhe Huang, Kai Yang:
UVM++: A Large-Scale Benchmark for Beverage Recognition in Intelligent Vending Machine. IEEE Trans. Consumer Electron. 70(1): 249-262 (2024) - [j87]Han Yan, Haijun Zhang, Jianyang Shi, Jianghong Ma:
Mixing and Matching Elements for Intelligent Fashion Design: A Generative Adversarial Network With Structure and Texture Disentanglement. IEEE Trans. Consumer Electron. 70(1): 358-370 (2024) - [j86]Qun Li, Haijun Zhang, Kai Yang, Gaochang Wu:
BAN-ima: A Box Adaptive Network With Iterative Mixed Attention for Visual Tracking. IEEE Trans. Consumer Electron. 70(1): 2365-2377 (2024) - [j85]Haijun Zhang, Xiangyu Mu, Guojian Li, Zhenhao Xu, Xinrui Yu, Jianghong Ma:
Mannequin2Real: A Two-Stage Generation Framework for Transforming Mannequin Images Into Photorealistic Model Images for Clothing Display. IEEE Trans. Consumer Electron. 70(1): 2773-2783 (2024) - [j84]Haibin Zhou, Lujiao Shao, Haijun Zhang:
SRRNet: A Transformer Structure With Adaptive 2-D Spatial Attention Mechanism for Cell Phone-Captured Shopping Receipt Recognition. IEEE Trans. Consumer Electron. 70(1): 3289-3298 (2024) - [j83]Haijun Zhang, Xiao-Zhi Gao, Zenghui Wang, Guanghui Wang:
Guest Editorial of the Special Section on Neural Computing-Driven Artificial Intelligence for Consumer Electronics. IEEE Trans. Consumer Electron. 70(1): 3517-3520 (2024) - [j82]Dongliang Zhou, Haijun Zhang, Jianghong Ma, Jianyang Shi:
BC-GAN: A Generative Adversarial Network for Synthesizing a Batch of Collocated Clothing. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3245-3259 (2024) - [j81]Jianghong Ma, Huiyue Sun, Dezhao Yang, Haijun Zhang:
Personalized Fashion Recommendations for Diverse Body Shapes with Contrastive Multimodal Cross-Attention Network. ACM Trans. Intell. Syst. Technol. 15(4): 82:1-82:21 (2024) - [j80]Han Yan, Haijun Zhang, Zhao Zhang:
Learning to Disentangle the Colors, Textures, and Shapes of Fashion Items: A Unified Framework. IEEE Trans. Multim. 26: 5615-5629 (2024) - [j79]Dongliang Zhou, Haijun Zhang, Kai Yang, Linlin Liu, Han Yan, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5226-5240 (2024) - [j78]Li Dong, Haijun Zhang, Jianghong Ma, Xiaofei Xu, Yimin Yang, Q. M. Jonathan Wu:
CLRNet: A Cross Locality Relation Network for Crowd Counting in Videos. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6408-6422 (2024) - [j77]Linlin Liu, Haijun Zhang, Qun Li, Jianghong Ma, Zhao Zhang:
Collocated Clothing Synthesis with GANs Aided by Textual Information: A Multi-Modal Framework. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 26:1-26:25 (2024) - [c58]Kangzhe Liu, Jianghong Ma, Shanshan Feng, Haijun Zhang, Zhao Zhang:
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences. DASFAA (7) 2024: 254-263 - [c57]Yuzhu Ji, Mingshan Sun, Yiqun Zhang, Haijun Zhang:
CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation. ECAI 2024: 153-160 - [c56]Minglong Dong, Dongliang Zhou, Jianghong Ma, Haijun Zhang:
Towards Intelligent Design: A Self-Driven Framework for Collocated Clothing Synthesis Leveraging Fashion Styles and Textures. ICASSP 2024: 3725-3729 - [c55]Haijun Zhang, Qingji Ren, Li Dong, Kim Fung Tsang:
FastPlane: A Fully Convolutional Network for Real-time 3D Plane Segmentation. ICCE 2024: 1-6 - [c54]Xiping Li, Jianghong Ma, Kangzhe Liu, Shanshan Feng, Haijun Zhang, Yutong Wang:
Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework. WWW 2024: 3734-3744 - 2023
- [j76]Haibin Zhou, Lujiao Shao, Boxiang Jia, Haijun Zhang:
𝕋2Net: an improved image-based text transfer framework using background inpainting and text conversion. Ind. Artif. Intell. 1(1) (2023) - [j75]Choujun Zhan, Yufan Zheng, Lujiao Shao, Guanrong Chen, Haijun Zhang:
Modeling the spread dynamics of multiple-variant coronavirus disease under public health interventions: A general framework. Inf. Sci. 628: 469-487 (2023) - [j74]Jiahuan Ren, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu, Meng Wang:
Robust and fast low-rank deep convolutional feature recovery: toward information retention and accelerated convergence. Knowl. Inf. Syst. 65(3): 1287-1315 (2023) - [j73]Yangcheng Gao, Zhao Zhang, Haijun Zhang, Mingbo Zhao, Yi Yang, Meng Wang:
Fast data-free model compression via dictionary-pair reconstruction. Knowl. Inf. Syst. 65(8): 3435-3461 (2023) - [j72]Kai Yang, Haijun Zhang, Dongliang Zhou, Li Dong, Jianghong Ma:
IASA: An IoU-aware tracker with adaptive sample assignment. Neural Networks 161: 267-280 (2023) - [j71]Yan Luo, Yangcheng Gao, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu:
Long-range zero-shot generative deep network quantization. Neural Networks 166: 683-691 (2023) - [j70]Zhao Zhang, Yanyan Wei, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang:
Data-Driven single image deraining: A Comprehensive review and new perspectives. Pattern Recognit. 143: 109740 (2023) - [j69]Kai Yang, Haijun Zhang, Jianyang Shi, Jianghong Ma:
BANDT: A Border-Aware Network With Deformable Transformers for Visual Tracking. IEEE Trans. Consumer Electron. 69(3): 377-390 (2023) - [j68]Han Yan, Haijun Zhang, Jianyang Shi, Jianghong Ma, Xiaofei Xu:
Inspiration Transfer for Intelligent Design: A Generative Adversarial Network With Fashion Attributes Disentanglement. IEEE Trans. Consumer Electron. 69(4): 1152-1163 (2023) - [j67]Han Yan, Haijun Zhang, Jianyang Shi, Jianghong Ma:
Texture Brush for Fashion Inspiration Transfer: A Generative Adversarial Network With Heatmap-Guided Semantic Disentanglement. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2381-2395 (2023) - [j66]Jie Li, Yu Wang, Yanyang Zi, Haijun Zhang, Chen Li:
Causal Consistency Network: A Collaborative Multimachine Generalization Method for Bearing Fault Diagnosis. IEEE Trans. Ind. Informatics 19(4): 5915-5924 (2023) - [j65]Han Yan, Haijun Zhang, Linlin Liu, Dongliang Zhou, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Toward Intelligent Design: An AI-Based Fashion Designer Using Generative Adversarial Networks Aided by Sketch and Rendering Generators. IEEE Trans. Multim. 25: 2323-2338 (2023) - [j64]Dongliang Zhou, Haijun Zhang, Qun Li, Jianghong Ma, Xiaofei Xu:
COutfitGAN: Learning to Synthesize Compatible Outfits Supervised by Silhouette Masks and Fashion Styles. IEEE Trans. Multim. 25: 4986-5001 (2023) - [j63]Kai Yang, Haijun Zhang, Feng Gao, Jianyang Shi, Yanfeng Zhang, Q. M. Jonathan Wu:
DETA: A Point-Based Tracker With Deformable Transformer and Task-Aligned Learning. IEEE Trans. Multim. 25: 7545-7558 (2023) - [j62]Jie Li, Yu Wang, Yanyang Zi, Haijun Zhang, Zhiguo Wan:
Causal Disentanglement: A Generalized Bearing Fault Diagnostic Framework in Continuous Degradation Mode. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6250-6262 (2023) - [j61]Han Yan, Haijun Zhang, Jianyang Shi, Jianghong Ma, Xiaofei Xu:
Toward Intelligent Fashion Design: A Texture and Shape Disentangled Generative Adversarial Network. ACM Trans. Multim. Comput. Commun. Appl. 19(3): 107:1-107:23 (2023) - [j60]Wen Xia, Lifeng Pu, Xiangyu Zou, Philip Shilane, Shiyi Li, Haijun Zhang, Xuan Wang:
The Design of Fast and Lightweight Resemblance Detection for Efficient Post-Deduplication Delta Compression. ACM Trans. Storage 19(3): 22:1-22:30 (2023) - [j59]Haijun Zhang, Xiangyu Mu, Han Yan, Lang Ren, Jianghong Ma:
A survey of online video advertising. WIREs Data. Mining. Knowl. Discov. 13(2) (2023) - [c53]Yawei Li, Zhao Zhang, Suiyi Zhao, Jicong Fan, Haijun Zhang, Mingliang Xu:
Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution. ICDM 2023: 329-338 - [c52]Kang Miao, Zhao Zhang, Jiahuan Ren, Mingbo Zhao, Haijun Zhang, Richang Hong:
Adaptive Student Inference Network for Efficient Single Image Super-Resolution. ICDM 2023: 488-497 - [c51]Chao Ouyang, Haijun Zhang, Xiangyu Mu, Zhou Wu, Wei Dai:
E-VarifocalNet: A Lightweight Model to Detect Insulators and Their Defects under Power Grid Surveillance. INDIN 2023: 1-6 - [c50]Han Yan, Haijun Zhang, Xiangyu Mu, Jicong Fan, Zhao Zhang:
FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design. ACM Multimedia 2023: 1401-1411 - [c49]Bo Wang, Zhao Zhang, Suiyi Zhao, Haijun Zhang, Richang Hong, Meng Wang:
CropCap: Embedding Visual Cross-Partition Dependency for Image Captioning. ACM Multimedia 2023: 1750-1758 - [c48]Baiang Li, Huan Zheng, Zhao Zhang, Yang Zhao, Zhongqiu Zhao, Haijun Zhang:
Dynamic Grouped Interaction Network for Low-Light Stereo Image Enhancement. ACM Multimedia 2023: 2468-2476 - [c47]Jianyang Shi, Haijun Zhang, Dongliang Zhou, Zhao Zhang:
Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements. ACM Multimedia 2023: 7152-7163 - [c46]Han Yan, Haijun Zhang, Jie Hou, Jicong Fan, Zhao Zhang:
InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation. ACM Multimedia 2023: 7194-7204 - [c45]Dongliang Zhou, Haijun Zhang, Jianghong Ma, Jicong Fan, Zhao Zhang:
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting. ACM Multimedia 2023: 7881-7889 - [c44]Junhu Wang, Suiyi Zhao, Zhao Zhang, Yang Zhao, Haijun Zhang:
Physical-Property Guided End-to-End Interactive Image Dehazing Network. NCAA (2) 2023: 116-131 - [c43]Guojian Li, Haijun Zhang, Xiangyu Mu, Jianghong Ma:
MM-VTON: A Multi-stage Virtual Try-on Method Using Multiple Image Features. NCAA (1) 2023: 132-146 - [e6]Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu:
International Conference on Neural Computing for Advanced Applications - 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part I. Communications in Computer and Information Science 1869, Springer 2023, ISBN 978-981-99-5843-6 [contents] - [e5]Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu:
International Conference on Neural Computing for Advanced Applications - 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part II. Communications in Computer and Information Science 1870, Springer 2023, ISBN 978-981-99-5846-7 [contents] - [i8]Kangzhe Liu, Jianghong Ma, Shanshan Feng, Haijun Zhang, Zhao Zhang:
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences. CoRR abs/2308.15823 (2023) - [i7]Dezhao Yang, Jianghong Ma, Shanshan Feng, Haijun Zhang, Zhao Zhang:
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation. CoRR abs/2308.15926 (2023) - [i6]Zhichao Zuo, Zhao Zhang, Yan Luo, Yang Zhao, Haijun Zhang, Yi Yang, Meng Wang:
Cut-and-Paste: Subject-Driven Video Editing with Attention Control. CoRR abs/2311.11697 (2023) - 2022
- [j58]Yuzhu Ji, Haijun Zhang, Feng Gao, Haofei Sun, Haokun Wei, Nan Wang, Biao Yang:
LGCNet: A local-to-global context-aware feature augmentation network for salient object detection. Inf. Sci. 584: 399-416 (2022) - [j57]Kai Yang, Haijun Zhang, Dongliang Zhou, Li Dong:
PaaRPN: Probabilistic anchor assignment with region proposal network for visual tracking. Inf. Sci. 598: 19-36 (2022) - [j56]Choujun Zhan, Lujiao Shao, Xinyu Zhang, Ziliang Yin, Ying Gao, Chi K. Tse, Dong Yang, Di Wu, Haijun Zhang:
Estimating unconfirmed COVID-19 infection cases and multiple waves of pandemic progression with consideration of testing capacity and non-pharmaceutical interventions: A dynamic spreading model. Inf. Sci. 607: 418-439 (2022) - [j55]Li Dong, Haijun Zhang, Kai Yang, Dongliang Zhou, Jianyang Shi, Jianghong Ma:
Crowd Counting by Using Top-k Relations: A Mixed Ground-Truth CNN Framework. IEEE Trans. Consumer Electron. 68(3): 307-316 (2022) - [j54]Jianghong Ma, Tommy W. S. Chow, Haijun Zhang:
Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning. IEEE Trans. Cybern. 52(1): 101-115 (2022) - [j53]Kai Yang, Zhenyu He, Wenjie Pei, Zikun Zhou, Xin Li, Di Yuan, Haijun Zhang:
SiamCorners: Siamese Corner Networks for Visual Tracking. IEEE Trans. Multim. 24: 1956-1967 (2022) - [j52]Zhou Wu, Qian Li, Haijun Zhang:
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1974-1985 (2022) - [j51]Xiangyu Zou, Jingsong Yuan, Philip Shilane, Wen Xia, Haijun Zhang, Xuan Wang:
From Hyper-dimensional Structures to Linear Structures: Maintaining Deduplicated Data's Locality. ACM Trans. Storage 18(3): 25:1-25:28 (2022) - [c42]Andrei Nicolae Calugar, Weizhi Meng, Haijun Zhang:
Towards Artificial Neural Network Based Intrusion Detection with Enhanced Hyperparameter Tuning. GLOBECOM 2022: 2627-2632 - [c41]Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan:
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization. ICDM 2022: 141-150 - [c40]Qun Li, Mingshan Sun, Li Dong, Xiaozhi Gao, Zenghui Wang, Haijun Zhang:
HCD-Mask: a multi-task model for small object detection and instance segmentation in high-resolution UAV images. ICIT 2022: 1-8 - [c39]Suiyi Zhao, Zhao Zhang, Richang Hong, Mingliang Xu, Haijun Zhang, Meng Wang, Shuicheng Yan:
CRNet: Unsupervised Color Retention Network for Blind Motion Deblurring. ACM Multimedia 2022: 6193-6201 - [c38]Jiahuan Ren, Zhao Zhang, Richang Hong, Mingliang Xu, Haijun Zhang, Mingbo Zhao, Meng Wang:
Robust Low-Rank Convolution Network for Image Denoising. ACM Multimedia 2022: 6211-6219 - [c37]Huan Zheng, Zhao Zhang, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang:
Deep Multi-Resolution Mutual Learning for Image Inpainting. ACM Multimedia 2022: 6359-6367 - [c36]Qi Yuan, Lujiao Shao, Xinyu Zhang, Xinrui Yu, Huiyue Sun, Jianghong Ma, Weizhi Meng, Xiao-Zhi Gao, Haijun Zhang:
A Collaborators Recommendation Method Based on Multi-feature Fusion. NCAA (1) 2022: 247-261 - [c35]Jiaqi Chen, Lujiao Shao, Haibin Zhou, Jianghong Ma, Weizhi Meng, Zenghui Wang, Haijun Zhang:
Extracting Key Information from Shopping Receipts by Using Bayesian Deep Learning via Multi-modal Features. NCAA (1) 2022: 378-393 - [c34]Jicong Fan, Yiheng Tu, Zhao Zhang, Mingbo Zhao, Haijun Zhang:
A Simple Approach to Automated Spectral Clustering. NeurIPS 2022 - [c33]Xiangyu Zou, Wen Xia, Philip Shilane, Haijun Zhang, Xuan Wang:
Building a High-performance Fine-grained Deduplication Framework for Backup Storage with High Deduplication Ratio. USENIX ATC 2022: 19-36 - [e4]Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang:
Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part I. Communications in Computer and Information Science 1637, Springer 2022, ISBN 978-981-19-6141-0 [contents] - [e3]Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang:
Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part II. Communications in Computer and Information Science 1638, Springer 2022, ISBN 978-981-19-6134-2 [contents] - [i5]Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan, Meng Wang:
ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization. CoRR abs/2205.00179 (2022) - [i4]Yan Luo, Yangcheng Gao, Zhao Zhang, Haijun Zhang, Mingliang Xu, Meng Wang:
Long-Range Zero-Shot Generative Deep Network Quantization. CoRR abs/2211.06816 (2022) - 2021
- [j50]Haijun Zhang, Mingshan Sun, Qun Li, Linlin Liu, Ming Liu, Yuzhu Ji:
An empirical study of multi-scale object detection in high resolution UAV images. Neurocomputing 421: 173-182 (2021) - [j49]Feng Gao, Qun Li, Yuzhu Ji, Shengchang Ji, Jie Guo, Haofei Sun, Yang Liu, Simeng Feng, Haokun Wei, Nan Wang, Biao Yang, Haijun Zhang:
EWNet: An early warning classification framework for smart grid based on local-to-global perception. Neurocomputing 443: 199-212 (2021) - [j48]Choujun Zhan, Yufan Zheng, Haijun Zhang, Quansi Wen:
Random-Forest-Bagging Broad Learning System With Applications for COVID-19 Pandemic. IEEE Internet Things J. 8(21): 15906-15918 (2021) - [j47]Yuzhu Ji, Haijun Zhang, Zhao Zhang, Ming Liu:
CNN-based encoder-decoder networks for salient object detection: A comprehensive review and recent advances. Inf. Sci. 546: 835-857 (2021) - [j46]Choujun Zhan, Jiaqi Chen, Haijun Zhang:
An investigation of testing capacity for evaluating and modeling the spread of coronavirus disease. Inf. Sci. 561: 211-229 (2021) - [j45]Linlin Liu, Haijun Zhang, Dongliang Zhou:
Clothing generation by multi-modal embedding: A compatibility matrix-regularized GAN model. Image Vis. Comput. 107: 104097 (2021) - [j44]Kai Yang, Haijun Zhang, Dongliang Zhou, Linlin Liu:
TGAN: A simple model update strategy for visual tracking via template-guidance attention network. Neural Networks 144: 61-74 (2021) - [j43]Liheng Chen, Ming Liu, Yan Shi, Haijun Zhang, Enjiao Zhao:
Adaptive Fault Estimation for Unmanned Surface Vessels With a Neural Network Observer Approach. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1): 416-425 (2021) - [j42]Jianghong Ma, Haijun Zhang, Tommy W. S. Chow:
Multilabel Classification With Label-Specific Features and Classifiers: A Coarse- and Fine-Tuned Framework. IEEE Trans. Cybern. 51(2): 1028-1042 (2021) - [j41]Zhao Zhang, Yulin Sun, Yang Wang, Zheng Zhang, Haijun Zhang, Guangcan Liu, Meng Wang:
Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification. IEEE Trans. Neural Networks Learn. Syst. 32(3): 947-961 (2021) - [j40]Yuzhu Ji, Haijun Zhang, Zequn Jie, Lin Ma, Q. M. Jonathan Wu:
CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2676-2690 (2021) - [j39]Zhao Zhang, Jiahuan Ren, Haijun Zhang, Zheng Zhang, Guangcan Liu, Shuicheng Yan:
DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 5:1-5:24 (2021) - [c32]Haijun Zhang, Hong Gao, Dailiang Jin:
HTF: An Effective Algorithm for Time Series to Recover Missing Blocks. DASFAA (Workshops) 2021: 29-44 - [c31]Xiangyu Zou, Jingsong Yuan, Philip Shilane, Wen Xia, Haijun Zhang, Xuan Wang:
The Dilemma between Deduplication and Locality: Can Both be Achieved? FAST 2021: 171-185 - [c30]Xiangyu Zou, Cai Deng, Wen Xia, Philip Shilane, Haoliang Tan, Haijun Zhang, Xuan Wang:
Odess: Speeding up Resemblance Detection for Redundancy Elimination by Fast Content-Defined Sampling. ICDE 2021: 480-491 - [c29]Yangcheng Gao, Zhao Zhang, Haijun Zhang, Mingbo Zhao, Yi Yang, Meng Wang:
Dictionary Pair-based Data-Free Fast Deep Neural Network Compression. ICDM 2021: 121-130 - [c28]Jiahuan Ren, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu, Meng Wang:
Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence. ICDM 2021: 529-538 - [c27]Zhao Zhang, Xianzhen Li, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang:
Triplet Deep Subspace Clustering via Self-Supervised Data Augmentation. ICDM 2021: 946-955 - [c26]Yanyan Wei, Zhao Zhang, Yang Wang, Haijun Zhang, Mingbo Zhao, Mingliang Xu, Meng Wang:
Semi-Deraingan: A New Semi-Supervised Single Image Deraining. ICME 2021: 1-6 - [c25]Qiong Yu, Wenjian Xu, Yingji Wu, Haijun Zhang:
Learning to Collocate Fashion Items from Heterogeneous Network Using Structural and Textual Features. NCAA 2021: 166-180 - [c24]Lang Ren, Haibin Zhou, Jiaqi Chen, Lujiao Shao, Yingji Wu, Haijun Zhang:
A Transformer-Based Decoupled Attention Network for Text Recognition in Shopping Receipt Images. NCAA 2021: 563-577 - [c23]Jianyang Shi, Wenjian Xu, Qi Yuan, Junjin Zheng, Qingji Ren, Xuechao Li, Deyi Huang, Hongbing Wang, Haijun Zhang:
COSINEHUB: A New Software Development System in Collective Intelligence Environment. SOSE 2021: 155-160 - [e2]Haijun Zhang, Zhi Yang, Zhao Zhang, Zhou Wu, Tianyong Hao:
Neural Computing for Advanced Applications - Second International Conference, NCAA 2021, Guangzhou, China, August 27-30, 2021, Proceedings. Communications in Computer and Information Science 1449, Springer 2021, ISBN 978-981-16-5187-8 [contents] - [i3]Kai Yang, Zhenyu He, Wenjie Pei, Zikun Zhou, Xin Li, Di Yuan, Haijun Zhang:
SiamCorners: Siamese Corner Networks for Visual Tracking. CoRR abs/2104.07303 (2021) - [i2]Yu Liu, Mingbo Zhao, Zhao Zhang, Haijun Zhang, Shuicheng Yan:
Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing. CoRR abs/2111.12346 (2021) - 2020
- [j38]Haijun Zhang, Xinghao Wang, Linlin Liu, Dongliang Zhou, Zhao Zhang:
WarpClothingOut: A Stepwise Framework for Clothes Translation From the Human Body to Tiled Images. IEEE Multim. 27(4): 58-68 (2020) - [j37]Haijun Zhang, Han Guo, Xinghao Wang, Yuzhu Ji, Q. M. Jonathan Wu:
Clothescounter: A framework for star-oriented clothes mining from videos. Neurocomputing 377: 38-48 (2020) - [j36]Haijun Zhang, Yanfang Sun, Linlin Liu, Xiaofei Xu:
CascadeGAN: A category-supervised cascading generative adversarial network for clothes translation from the human body to tiled images. Neurocomputing 382: 148-161 (2020) - [j35]Li Dong, Haijun Zhang, Yuzhu Ji, Yuxin Ding:
Crowd counting by using multi-level density-based spatial information: A Multi-scale CNN framework. Inf. Sci. 528: 79-91 (2020) - [j34]Haijun Zhang, Yanfang Sun, Linlin Liu, Xinghao Wang, Liuwu Li, Wenyin Liu:
ClothingOut: a category-supervised GAN model for clothing segmentation and retrieval. Neural Comput. Appl. 32(9): 4519-4530 (2020) - [j33]Haijun Zhang, Yanfang Sun, Mingbo Zhao, Tommy W. S. Chow, Q. M. Jonathan Wu:
Bridging User Interest to Item Content for Recommender Systems: An Optimization Model. IEEE Trans. Cybern. 50(10): 4268-4280 (2020) - [j32]Haijun Zhang, Wang Huang, Linlin Liu, Tommy W. S. Chow:
Learning to Match Clothing From Textual Feature-Based Compatible Relationships. IEEE Trans. Ind. Informatics 16(11): 6750-6759 (2020) - [j31]Haijun Zhang, Donghai Li, Yuzhu Ji, Haibin Zhou, Weiwei Wu, Kai Liu:
Toward New Retail: A Benchmark Dataset for Smart Unmanned Vending Machines. IEEE Trans. Ind. Informatics 16(12): 7722-7731 (2020) - [j30]Linlin Liu, Haijun Zhang, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Collocating Clothes With Generative Adversarial Networks Cosupervised by Categories and Attributes: A Multidiscriminator Framework. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3540-3554 (2020) - [j29]Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, Franck Cappello:
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data. IEEE Trans. Parallel Distributed Syst. 31(7): 1665-1680 (2020) - [c22]Choujun Zhan, Zhengdong Wu, Quansi Wen, Ying Gao, Haijun Zhang:
Optimizing Broad Learning System Hyper-parameters through Particle Swarm Optimization for Predicting COVID-19 in 184 Countries. HealthCom 2020: 1-6 - [c21]Yuanxia Liu, Hai Liu, Leung-Pun Wong, Lap-Kei Lee, Haijun Zhang, Tianyong Hao:
A Hybrid Neural Network RBERT-C Based on Pre-trained RoBERTa and CNN for User Intent Classification. NCAA 2020: 306-319 - [c20]Hongbing Wang, Tianjing Hong, Jian Cao, Haijun Zhang, Changhai Nie, Bo Cheng, Yangfan He, Li Kuang, Dunwei Gong, Wuhui Chen, Yuliang Shi, Deyi Huang:
COSINE: a software development model integrating collective intelligence, service and ecosystem. SERVICES 2020: 122-127 - [e1]Haijun Zhang, Zhao Zhang, Zhou Wu, Tianyong Hao:
Neural Computing for Advanced Applications - First International Conference, NCAA 2020, Shenzhen, China, July 3-5, 2020, Proceedings. Communications in Computer and Information Science 1265, Springer 2020, ISBN 978-981-15-7669-0 [contents]
2010 – 2019
- 2019
- [j28]Haijun Zhang, Jingxuan Li, Bin Luo, Yan Li:
Needle in a haystack: an empirical study on mining tags from Flickr user comments. Int. J. Inf. Technol. Manag. 18(2/3): 297-326 (2019) - [j27]Yuzhu Ji, Haijun Zhang, Kuo-Kun Tseng, Tommy W. S. Chow, Q. M. Jonathan Wu:
Graph model-based salient object detection using objectness and multiple saliency cues. Neurocomputing 323: 188-202 (2019) - [j26]Linlin Liu, Haijun Zhang, Yuzhu Ji, Q. M. Jonathan Wu:
Toward AI fashion design: An Attribute-GAN model for clothing match. Neurocomputing 341: 156-167 (2019) - [j25]Haijun Zhang, Yuzhu Ji, Wang Huang, Linlin Liu:
Sitcom-star-based clothing retrieval for video advertising: a deep learning framework. Neural Comput. Appl. 31(11): 7361-7380 (2019) - [j24]Penglin Dai, Kai Liu, Liang Feng, Haijun Zhang, Victor Chung Sing Lee, Sang Hyuk Son, Xiao Wu:
Temporal Information Services in Large-Scale Vehicular Networks Through Evolutionary Multi-Objective Optimization. IEEE Trans. Intell. Transp. Syst. 20(1): 218-231 (2019) - [c19]Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, Meng Wang:
A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. ICDM 2019: 628-637 - [c18]Xiaofei Yang, Xutao Li, Yunming Ye, Xiaofeng Zhang, Haijun Zhang, Xiaohui Huang, Bowen Zhang:
Road Detection via Deep Residual Dense U-Net. IJCNN 2019: 1-7 - [c17]Haijun Zhang, Mingshan Sun, Yuzhu Ji, Shichao Xu, Weihan Cao:
Learning-based Object Detection in High Resolution UAV Images: An Empirical Study. INDIN 2019: 886-889 - [c16]Haijun Zhang, Donghai Li, Yuzhu Ji, Haibin Zhou, Weiwei Wu:
Deep Learning-based Beverage Recognition for Unmanned Vending Machines: An Empirical Study. INDIN 2019: 1464-1467 - [c15]Xiaolei Lu, Tommy W. S. Chow, Haijun Zhang:
Piecewise Large Margin Learning for Partially Annotated Sequences. INDIN 2019: 1483-1487 - [i1]Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, Meng Wang:
A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. CoRR abs/1908.10521 (2019) - 2018
- [j23]Yuzhu Ji, Haijun Zhang, Q. M. Jonathan Wu:
Saliency detection via conditional adversarial image-to-image network. Neurocomputing 316: 357-368 (2018) - [j22]Yuzhu Ji, Haijun Zhang, Q. M. Jonathan Wu:
Salient object detection via multi-scale attention CNN. Neurocomputing 322: 130-140 (2018) - [j21]Haijun Zhang, Shuang Wang, Mingbo Zhao, Xiaofei Xu, Yunming Ye:
Locality Reconstruction Models for Book Representation. IEEE Trans. Knowl. Data Eng. 30(10): 1873-1886 (2018) - [j20]Haijun Zhang, Shuang Wang, Xiaofei Xu, Tommy W. S. Chow, Q. M. Jonathan Wu:
Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5304-5318 (2018) - [c14]Haijun Zhang, Yuzhu Ji, Wang Huang, Linlin Liu:
Sitcom-Stars Oriented Video Advertising via Clothing Retrieval. DASFAA (2) 2018: 638-646 - [c13]Haijun Zhang, Wang Huang, Linlin Liu, Xiaofei Xu:
Clothes Collocation Recommendations by Compatibility Learning. ICWS 2018: 179-186 - 2017
- [j19]Jianghong Ma, Zhaoyang Tian, Haijun Zhang, Tommy W. S. Chow:
Multi-Label Low-dimensional Embedding with Missing Labels. Knowl. Based Syst. 137: 65-82 (2017) - [j18]Haijun Zhang, Xiong Cao, John K. L. Ho, Tommy W. S. Chow:
Object-Level Video Advertising: An Optimization Framework. IEEE Trans. Ind. Informatics 13(2): 520-531 (2017) - [j17]Haijun Zhang, Jingxuan Li, Yuzhu Ji, Heng Yue:
Understanding Subtitles by Character-Level Sequence-to-Sequence Learning. IEEE Trans. Ind. Informatics 13(2): 616-624 (2017) - [c12]Linhe Xu, Haijun Zhang, Mingbo Zhao, Dianhui Chu, Yan Li:
Integrating spectral and spatial features for hyperspectral image classification using low-rank representation. ICIT 2017: 1024-1029 - [c11]Mingbo Zhao, Tommy W. S. Chow, Haijun Zhang, Yan Li:
Rolling fault diagnosis via robust semi-supervised model with capped l2, 1-norm regularization. ICIT 2017: 1064-1069 - [c10]Jicong Fan, Wei Wang, Haijun Zhang:
AutoEncoder based high-dimensional data fault detection system. INDIN 2017: 1001-1006 - [c9]Haijun Zhang, Shuang Wang, Eric Ke Wang, Yan Li, Yongjun Zhang, Dianhui Chu:
Recommending e-books by multi-layer clustering and locality reconstruction. INDIN 2017: 1056-1061 - 2016
- [j16]Ge Song, Yunming Ye, Haijun Zhang, Xiaofei Xu, Raymond Y. K. Lau, Feng Liu:
Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift. Inf. Sci. 357: 125-143 (2016) - [j15]Haijun Zhang, Yuzhu Ji, Jingxuan Li, Yunming Ye:
A Triple Wing Harmonium Model for Movie Recommendation. IEEE Trans. Ind. Informatics 12(1): 231-239 (2016) - [j14]Haijun Zhang, Tommy W. S. Chow, Q. M. Jonathan Wu:
Organizing Books and Authors by Multilayer SOM. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2537-2550 (2016) - [c8]Haijun Zhang, Shuang Wang, Xiong Cao, Heng Yue, Ke Wang:
Learning to link human objects in videos and advertisements with clothes retrieval. IJCNN 2016: 5006-5013 - [c7]Haijun Zhang, Jingxuan Li, Yuzhu Ji, Heng Yue:
A character-level sequence-to-sequence method for subtitle learning. INDIN 2016: 780-783 - [c6]Shuang Wang, Zhengqi Li, Haijun Zhang, Yuzhu Ji, Yan Li:
Classifying vehicles with convolutional neural network and feature encoding. INDIN 2016: 784-787 - [c5]Shuang Wang, Haijun Zhang, Yusong An, Yunming Ye, Yanfeng Zhang, Yan Li:
Clothes Advertising by Targeting Principal Actors in Video. ICSS 2016: 7-14 - 2015
- [j13]Qingyao Wu, Yunming Ye, Haijun Zhang, Tommy W. S. Chow, Shen-Shyang Ho:
ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 26(3): 430-443 (2015) - [c4]Lu Lu, Haijun Zhang:
A tree-structured representation for book author and its recommendation using multilayer SOM. IJCNN 2015: 1-8 - [c3]Haijun Zhang, Jingxuan Li, Yuzhu Ji, Yunming Ye:
Content-based movie recommending using a Triple Wing Harmonium model. INDIN 2015: 1096-1101 - [c2]Jingxuan Li, Haijun Zhang, Bin Luo, Yan Li:
Mining Tags from Flickr User Comments Using a Hybrid Ranking Model. ICSS 2015: 198-204 - 2014
- [j12]Yixiang Fang, Haijun Zhang, Yunming Ye, Xutao Li:
Detecting hot topics from Twitter: A multiview approach. J. Inf. Sci. 40(5): 578-593 (2014) - [j11]Qingyao Wu, Yunming Ye, Haijun Zhang, Michael K. Ng, Shen-Shyang Ho:
ForesTexter: An efficient random forest algorithm for imbalanced text categorization. Knowl. Based Syst. 67: 105-116 (2014) - [j10]Xiaohui Huang, Yunming Ye, Huifeng Guo, Yi Cai, Haijun Zhang, Yan Li:
DSKmeans: A new kmeans-type approach to discriminative subspace clustering. Knowl. Based Syst. 70: 293-300 (2014) - [j9]Xiaohui Huang, Yunming Ye, Haijun Zhang:
Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation. IEEE Trans. Neural Networks Learn. Syst. 25(8): 1433-1446 (2014) - [c1]Haijun Zhang, Shifu Bie, Bin Luo:
Classifying web documents using term spectral transforms and Multi-Dimensional Latent Semantic representation. IJCNN 2014: 1320-1327 - 2013
- [j8]Haijun Zhang, John K. L. Ho, Q. M. Jonathan Wu, Yunming Ye:
Multidimensional Latent Semantic Analysis Using Term Spatial Information. IEEE Trans. Cybern. 43(6): 1625-1640 (2013) - 2012
- [j7]Haijun Zhang, Tommy W. S. Chow:
A multi-level matching method with hybrid similarity for document retrieval. Expert Syst. Appl. 39(3): 2710-2719 (2012) - [j6]Haijun Zhang, Q. M. Jonathan Wu, Tommy W. S. Chow, Ming-Bo Zhao:
A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition. Pattern Recognit. 45(5): 1866-1876 (2012) - 2011
- [j5]Haijun Zhang, Tommy W. S. Chow:
A coarse-to-fine framework to efficiently thwart plagiarism. Pattern Recognit. 44(2): 471-487 (2011) - [j4]Haijun Zhang, Gang Liu, Tommy W. S. Chow, Wenyin Liu:
Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach. IEEE Trans. Neural Networks 22(10): 1532-1546 (2011) - 2010
- [j3]Haijun Zhang, Tommy W. S. Chow, M. K. M. Rahman:
A novel dual wing harmonium model aided by 2-D wavelet transform subbands for document data mining. Expert Syst. Appl. 37(6): 4403-4412 (2010)
2000 – 2009
- 2009
- [j2]Tommy W. S. Chow, Haijun Zhang, M. K. M. Rahman:
A new document representation using term frequency and vectorized graph connectionists with application to document retrieval. Expert Syst. Appl. 36(10): 12023-12035 (2009) - [j1]Haijun Zhang, Tommy W. S. Chow, M. K. M. Rahman:
A new dual wing harmonium model for document retrieval. Pattern Recognit. 42(11): 2950-2960 (2009)
Coauthor Index
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