Haimin Zhang - RankMe

47 papers A 2B 2Journal 41Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differential Encoding for Improved Representation Learning Over Graphs. IEEE Trans. Big Data Haimin Zhang, Jiahao Xia, Min Xu
2026	J	`jnl`	MEGG: replay via maximally extreme GGscore in incremental learning for neural recommendation models. Data Min. Knowl. Discov. Yunxiao Shi, Shuo Yang, Haimin Zhang, Li Wang, Yongze Wang, Qiang Wu, Min Xu
2026	J	`jnl`	Neighbour-level message interaction encoding for improved representation learning on graphs. Appl. Soft Comput. Haimin Zhang, Min Xu
2025	J	`jnl`	Agreement Disagreement Guided Knowledge Transfer for Cross-Scene Hyperspectral Imaging. CoRR Lu Huo, Haimin Zhang, Min Xu
2025	J	`jnl`	Enhancing Knowledge Transfer in Hyperspectral Image Classification via Cross-scene Knowledge Integration. CoRR Lu Huo, Wenjian Huang, Jianguo Zhang, Min Xu, Haimin Zhang
2025	J	`jnl`	Genetic-Evolutionary Graph Neural Networks: A Paradigm for Improved Graph Representation Learning. Trans. Mach. Learn. Res. Haimin Zhang, Min Xu
2025	J	`jnl`	MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models. CoRR Yunxiao Shi, Shuo Yang, Haimin Zhang, Li Wang, Yongze Wang, Qiang Wu, Min Xu
2025	J	`jnl`	Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment. CoRR Jiahao Xia, Min Xu, Wenjian Huang, Jianguo Zhang, Haimin Zhang, Chunxia Xiao
2025	J	`jnl`	Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment. Int. J. Comput. Vis. Jiahao Xia, Min Xu, Wenjian Huang, Jianguo Zhang, Haimin Zhang, Chunxia Xiao
2025	J	`jnl`	Passive Human Tracking With WiFi Point Clouds. IEEE Internet Things J. Zhongqin Wang, J. Andrew Zhang, Haimin Zhang, Min Xu, Y. Jay Guo
2025	A	`conf`	STPM: Spatial-Temporal Point Mamba for Activity Recognition Using mmWave Radar Point Clouds. ICME Yingru Chen, Zhihao Guo, Haimin Zhang, Min Xu
2024	—	`conf`	A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine. MMGR@MM Yunxiao Shi, Min Xu, Haimin Zhang, Xing Zi, Qiang Wu
2024	J	`jnl`	A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine. CoRR Yunxiao Shi, Min Xu, Haimin Zhang, Xing Zi, Qiang Wu
2024	J	`jnl`	Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction. CoRR Yunxiao Shi, Wujiang Xu, Mingyu Jin, Haimin Zhang, Qiang Wu, Yongfeng Zhang, Min Xu
2024	J	`jnl`	Center-bridged Interaction Fusion for hyperspectral and LiDAR classification. Neurocomputing Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu
2024	J	`jnl`	Conditional Local Feature Encoding for Graph Neural Networks. CoRR Yongze Wang, Haimin Zhang, Qiang Wu, Min Xu
2024	J	`jnl`	Differential Encoding for Improved Representation Learning over Graphs. CoRR Haimin Zhang, Jiahao Xia, Min Xu
2024	J	`jnl`	ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization. CoRR Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu
2024	A	`conf`	Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems. ECAI Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu
2024	J	`jnl`	Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems. CoRR Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu
2024	J	`jnl`	Learning Graph Representations Through Learning and Propagating Edge Features. IEEE Trans. Neural Networks Learn. Syst. Haimin Zhang, Jiahao Xia, Guoqiang Zhang, Min Xu
2024	J	`jnl`	Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs. CoRR Haimin Zhang, Min Xu
2024	J	`jnl`	RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks. CoRR Haimin Zhang, Min Xu
2024	J	`jnl`	SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. Haimin Zhang, Min Xu, Guoqiang Zhang, Kenta Niwa
2024	J	`jnl`	Towards High-Quality Photorealistic Image Style Transfer. IEEE Trans. Multim. Hong Ding, Haimin Zhang, Gang Fu, Caoqing Jiang, Fei Luo, Chunxia Xiao, Min Xu
2024	J	`jnl`	Unsupervised Part Discovery via Dual Representation Alignment. CoRR Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu
2024	J	`jnl`	Unsupervised Part Discovery via Dual Representation Alignment. IEEE Trans. Pattern Anal. Mach. Intell. Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu
2024	J	`jnl`	Vital Sign Monitoring in Dynamic Environment via mmWave Radar and Camera Fusion. IEEE Trans. Mob. Comput. Yingqi Wang, Zhong-qin Wang, Jian Andrew Zhang, Haimin Zhang, Min Xu
2023	J	`jnl`	Multimodal Hyperspectral Image Classification via Interconnected Fusion. CoRR Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu
2023	J	`jnl`	Multiscale Emotion Representation Learning for Affective Image Recognition. IEEE Trans. Multim. Haimin Zhang, Min Xu
2023	J	`jnl`	Recognition of Emotions in User-Generated Videos through Frame-Level Adaptation and Emotion Intensity Learning. IEEE Trans. Multim. Haimin Zhang, Min Xu
2023	J	`jnl`	Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Jiahao Xia, Min Xu, Haimin Zhang, Jianguo Zhang, Wenjian Huang, Hu Cao, Shiping Wen
2022	J	`jnl`	An efficient multitask neural network for face alignment, head pose estimation and face tracking. Expert Syst. Appl. Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu
2021	J	`jnl`	An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking. CoRR Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu
2021	J	`jnl`	GEME: Dual-stream multi-task GEnder-based micro-expression recognition. Neurocomputing Xuan Nie, Madhumita A. Takalkar, Mengyang Duan, Haimin Zhang, Min Xu
2021	J	`jnl`	Graph neural networks with multiple kernel ensemble attention. Knowl. Based Syst. Haimin Zhang, Min Xu
2021	J	`jnl`	SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks. CoRR Haimin Zhang, Min Xu
2021	J	`jnl`	Weakly Supervised Emotion Intensity Prediction for Recomi/tmi40.htmlgnition of Emotions in Images. IEEE Trans. Multim. Haimin Zhang, Min Xu
2020	J	`jnl`	Improving the generalization performance of deep networks by dual pattern learning with adversarial adaptation. Knowl. Based Syst. Haimin Zhang, Min Xu
2019	—	`conf`	Improving Micro-expression Recognition Accuracy Using Twofold Feature Extraction. MMM (1) Madhumita A. Takalkar, Haimin Zhang, Min Xu
2019	J	`jnl`	Multi-level region-based Convolutional Neural Network for image emotion classification. Neurocomputing Tianrong Rao, Xiaoxu Li, Haimin Zhang, Min Xu
2018	J	`jnl`	Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization. CoRR Haimin Zhang, Min Xu
2018	B	`conf`	LSTM-based Flight Trajectory Prediction. IJCNN Zhiyuan Shi, Min Xu, Quan Pan, Bing Yan, Haimin Zhang
2018	J	`jnl`	Recognition of Emotions in User-Generated Videos With Kernelized Features. IEEE Trans. Multim. Haimin Zhang, Min Xu
2016	B	`conf`	Modeling temporal information using discrete fourier transform for recognizing emotions in user-generated videos. ICIP Haimin Zhang, Min Xu
2016	J	`jnl`	Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos. CoRR Haimin Zhang, Min Xu
2016	J	`jnl`	Modelling Temporal Information Using Discrete Fourier Transform for Video Classification. CoRR Haimin Zhang, Min Xu, Changsheng Xu, Ramesh C. Jain