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ORCIDHaimin Zhang 0001
Person information
- affiliation (PhD 2019): University of Technology Sydney, School of Electrical and Data Engineering, Australia
Other persons with the same name
- Haimin Zhang — disambiguation page
- Haimin Zhang 0002
![[0000-0002-9386-7839]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9386-7839")
— Henan Institute of Science and Technology, School of Physical Education, Xinxiang, China (and 1 more) - Haimin Zhang 0003 — Bloomberg, NY, USA
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2020 – today
- 2025
[j19]Jiahao Xia, Min Xu, Wenjian Huang, Jianguo Zhang, Haimin Zhang, Chunxia Xiao:
Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment. Int. J. Comput. Vis. 133(11): 7985-8005 (2025)- [j18]Zhongqin Wang, J. Andrew Zhang, Haimin Zhang, Min Xu, Y. Jay Guo:
Passive Human Tracking With WiFi Point Clouds. IEEE Internet Things J. 12(5): 5528-5543 (2025) - [j17]Haimin Zhang, Min Xu:
Genetic-Evolutionary Graph Neural Networks: A Paradigm for Improved Graph Representation Learning. Trans. Mach. Learn. Res. 2025 (2025) - [c6]Yingru Chen, Zhihao Guo, Haimin Zhang, Min Xu:
STPM: Spatial-Temporal Point Mamba for Activity Recognition Using mmWave Radar Point Clouds. ICME 2025: 1-6 - [i17]Jiahao Xia, Min Xu, Wenjian Huang, Jianguo Zhang, Haimin Zhang, Chunxia Xiao:
Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment. CoRR abs/2503.22359 (2025) - [i16]Yunxiao Shi, Shuo Yang, Haimin Zhang, Li Wang, Yongze Wang, Qiang Wu, Min Xu:
MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models. CoRR abs/2509.07319 (2025) - 2024
- [j16]Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu:
Center-bridged Interaction Fusion for hyperspectral and LiDAR classification. Neurocomputing 590: 127757 (2024) - [j15]Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu:
Unsupervised Part Discovery via Dual Representation Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10597-10613 (2024) - [j14]Yingqi Wang, Zhong-qin Wang, Jian Andrew Zhang, Haimin Zhang, Min Xu:
Vital Sign Monitoring in Dynamic Environment via mmWave Radar and Camera Fusion. IEEE Trans. Mob. Comput. 23(5): 4163-4180 (2024) - [j13]Hong Ding, Haimin Zhang, Gang Fu, Caoqing Jiang, Fei Luo, Chunxia Xiao, Min Xu:
Towards High-Quality Photorealistic Image Style Transfer. IEEE Trans. Multim. 26: 9892-9905 (2024) - [j12]Haimin Zhang, Min Xu, Guoqiang Zhang, Kenta Niwa:
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2223-2234 (2024) - [j11]Haimin Zhang, Jiahao Xia, Guoqiang Zhang, Min Xu:
Learning Graph Representations Through Learning and Propagating Edge Features. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8429-8440 (2024) - [c5]Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu:
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems. ECAI 2024: 2258-2265 - [c4]Yunxiao Shi, Min Xu, Haimin Zhang, Xing Zi, Qiang Wu:
A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine. MMGR@MM 2024: 12-20 - [i15]Haimin Zhang, Min Xu:
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks. CoRR abs/2404.09774 (2024) - [i14]Haimin Zhang, Min Xu:
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs. CoRR abs/2404.09809 (2024) - [i13]Yongze Wang, Haimin Zhang, Qiang Wu, Min Xu:
Conditional Local Feature Encoding for Graph Neural Networks. CoRR abs/2405.04755 (2024) - [i12]Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu:
ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization. CoRR abs/2405.06683 (2024) - [i11]Haimin Zhang, Jiahao Xia, Min Xu:
Differential Encoding for Improved Representation Learning over Graphs. CoRR abs/2407.02758 (2024) - [i10]Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu:
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems. CoRR abs/2407.10670 (2024) - [i9]Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu:
Unsupervised Part Discovery via Dual Representation Alignment. CoRR abs/2408.08108 (2024) - [i8]Yunxiao Shi, Wujiang Xu, Mingyu Jin, Haimin Zhang, Qiang Wu, Yongfeng Zhang, Min Xu:
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction. CoRR abs/2408.08713 (2024) - [i7]Yunxiao Shi, Min Xu, Haimin Zhang, Xing Zi, Qiang Wu:
A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine. CoRR abs/2409.00636 (2024) - 2023
- [j10]Jiahao Xia, Min Xu, Haimin Zhang, Jianguo Zhang, Wenjian Huang, Hu Cao, Shiping Wen:
Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10358-10375 (2023) - [j9]Haimin Zhang, Min Xu:
Recognition of Emotions in User-Generated Videos through Frame-Level Adaptation and Emotion Intensity Learning. IEEE Trans. Multim. 25: 881-891 (2023) - [j8]Haimin Zhang, Min Xu:
Multiscale Emotion Representation Learning for Affective Image Recognition. IEEE Trans. Multim. 25: 2203-2212 (2023) - [i6]Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu:
Multimodal Hyperspectral Image Classification via Interconnected Fusion. CoRR abs/2304.00495 (2023) - 2022
- [j7]Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu:
An efficient multitask neural network for face alignment, head pose estimation and face tracking. Expert Syst. Appl. 205: 117368 (2022) - 2021
- [j6]Xuan Nie, Madhumita A. Takalkar, Mengyang Duan, Haimin Zhang, Min Xu:
GEME: Dual-stream multi-task GEnder-based micro-expression recognition. Neurocomputing 427: 13-28 (2021) - [j5]Haimin Zhang, Min Xu:
Graph neural networks with multiple kernel ensemble attention. Knowl. Based Syst. 229: 107299 (2021) - [j4]Haimin Zhang, Min Xu:
Weakly Supervised Emotion Intensity Prediction for Recomi/tmi40.htmlgnition of Emotions in Images. IEEE Trans. Multim. 23: 2033-2044 (2021) - [i5]Haimin Zhang, Min Xu:
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks. CoRR abs/2102.10338 (2021) - [i4]Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu:
An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking. CoRR abs/2103.07615 (2021) - 2020
- [j3]Haimin Zhang, Min Xu:
Improving the generalization performance of deep networks by dual pattern learning with adversarial adaptation. Knowl. Based Syst. 200: 106016 (2020)
2010 – 2019
- 2019
- [j2]Tianrong Rao, Xiaoxu Li, Haimin Zhang, Min Xu:
Multi-level region-based Convolutional Neural Network for image emotion classification. Neurocomputing 333: 429-439 (2019) - [c3]Madhumita A. Takalkar, Haimin Zhang, Min Xu:
Improving Micro-expression Recognition Accuracy Using Twofold Feature Extraction. MMM (1) 2019: 652-664 - 2018
- [j1]Haimin Zhang, Min Xu:
Recognition of Emotions in User-Generated Videos With Kernelized Features. IEEE Trans. Multim. 20(10): 2824-2835 (2018) - [c2]Zhiyuan Shi, Min Xu, Quan Pan, Bing Yan, Haimin Zhang:
LSTM-based Flight Trajectory Prediction. IJCNN 2018: 1-8 - [i3]Haimin Zhang, Min Xu:
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization. CoRR abs/1806.03902 (2018) - 2016
- [c1]Haimin Zhang, Min Xu:
Modeling temporal information using discrete fourier transform for recognizing emotions in user-generated videos. ICIP 2016: 629-633 - [i2]Haimin Zhang, Min Xu, Changsheng Xu, Ramesh C. Jain:
Modelling Temporal Information Using Discrete Fourier Transform for Video Classification. CoRR abs/1603.06182 (2016) - [i1]Haimin Zhang, Min Xu:
Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos. CoRR abs/1603.06568 (2016)
Coauthor Index
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