Haimin Zhang

According to our database, Haimin Zhang authored at least 35 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Passive Human Tracking With WiFi Point Clouds.

Zhongqin Wang, J. Andrew Zhang, Haimin Zhang, Min Xu, Y. Jay Guo

IEEE Internet Things J., March, 2025

Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment.

Jiahao Xia, Min Xu, Wenjian Huang, Jianguo Zhang, Haimin Zhang, Chunxia Xiao

CoRR, March, 2025

Genetic-Evolutionary Graph Neural Networks: A Paradigm for Improved Graph Representation Learning.

Haimin Zhang, Min Xu

Trans. Mach. Learn. Res., 2025

2024

Unsupervised Part Discovery via Dual Representation Alignment.

Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning Graph Representations Through Learning and Propagating Edge Features.

Haimin Zhang, Jiahao Xia, Guoqiang Zhang, Min Xu

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Vital Sign Monitoring in Dynamic Environment via mmWave Radar and Camera Fusion.

Yingqi Wang, Zhong-qin Wang, Jian Andrew Zhang, Haimin Zhang, Min Xu

IEEE Trans. Mob. Comput., May, 2024

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks.

Haimin Zhang, Min Xu, Guoqiang Zhang, Kenta Niwa

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Towards High-Quality Photorealistic Image Style Transfer.

Hong Ding, Haimin Zhang, Gang Fu, Caoqing Jiang, Fei Luo, Chunxia Xiao, Min Xu

IEEE Trans. Multim., 2024

Center-bridged Interaction Fusion for hyperspectral and LiDAR classification.

Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu

Neurocomputing, 2024

Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction.

Yunxiao Shi, Wujiang Xu, Mingyu Jin, Haimin Zhang, Qiang Wu, Yongfeng Zhang, Min Xu

CoRR, 2024

Differential Encoding for Improved Representation Learning over Graphs.

Haimin Zhang, Jiahao Xia, Min Xu

CoRR, 2024

ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization.

Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu

CoRR, 2024

Conditional Local Feature Encoding for Graph Neural Networks.

Yongze Wang, Haimin Zhang, Qiang Wu, Min Xu

CoRR, 2024

Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs.

Haimin Zhang, Min Xu

CoRR, 2024

RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks.

Haimin Zhang, Min Xu

CoRR, 2024

A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine.

Yunxiao Shi, Min Xu, Haimin Zhang, Xing Zi, Qiang Wu

Proceedings of the 2nd International Workshop on Deep Multimodal Generation and Retrieval, 2024

Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems.

Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation.

Jiahao Xia, Min Xu, Haimin Zhang, Jianguo Zhang, Wenjian Huang, Hu Cao, Shiping Wen

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Recognition of Emotions in User-Generated Videos through Frame-Level Adaptation and Emotion Intensity Learning.

Haimin Zhang, Min Xu

IEEE Trans. Multim., 2023

Multiscale Emotion Representation Learning for Affective Image Recognition.

Haimin Zhang, Min Xu

IEEE Trans. Multim., 2023

Multimodal Hyperspectral Image Classification via Interconnected Fusion.

Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu

CoRR, 2023

2022

An efficient multitask neural network for face alignment, head pose estimation and face tracking.

Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu

Expert Syst. Appl., 2022

2021

Weakly Supervised Emotion Intensity Prediction for Recomi/tmi40.htmlgnition of Emotions in Images.

Haimin Zhang, Min Xu

IEEE Trans. Multim., 2021

Graph neural networks with multiple kernel ensemble attention.

Haimin Zhang, Min Xu

Knowl. Based Syst., 2021

GEME: Dual-stream multi-task GEnder-based micro-expression recognition.

Xuan Nie, Madhumita A. Takalkar, Mengyang Duan, Haimin Zhang, Min Xu

Neurocomputing, 2021

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks.

Haimin Zhang, Min Xu

CoRR, 2021

2020

Improving the generalization performance of deep networks by dual pattern learning with adversarial adaptation.

Haimin Zhang, Min Xu

Knowl. Based Syst., 2020

2019

Multi-level region-based Convolutional Neural Network for image emotion classification.

Tianrong Rao, Xiaoxu Li, Haimin Zhang, Min Xu

Neurocomputing, 2019

Improving Micro-expression Recognition Accuracy Using Twofold Feature Extraction.

Madhumita A. Takalkar, Haimin Zhang, Min Xu

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

2018

Recognition of Emotions in User-Generated Videos With Kernelized Features.

Haimin Zhang, Min Xu

IEEE Trans. Multim., 2018

Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization.

Haimin Zhang, Min Xu

CoRR, 2018

LSTM-based Flight Trajectory Prediction.

Zhiyuan Shi, Min Xu, Quan Pan, Bing Yan, Haimin Zhang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016

Modelling Temporal Information Using Discrete Fourier Transform for Video Classification.

Haimin Zhang, Min Xu, Changsheng Xu, Ramesh C. Jain

CoRR, 2016

Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos.

Haimin Zhang, Min Xu

CoRR, 2016

Modeling temporal information using discrete fourier transform for recognizing emotions in user-generated videos.

Haimin Zhang, Min Xu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016